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Let's get into today.
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So, uh, as I mentioned, what
we're gonna be sharing is
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defining your ideal appliance.
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Um, and so why is this important and, and
really why are we talking about this kind
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of at the outset of this, this AI program.
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In the coming weeks, we're
gonna get really tactical.
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With a lot of different tools, a lot
of different strategies, a lot of
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different prompts, and what you can do.
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So really, you know, my purpose
here on Thursday and today was to
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set an overarching framework that
gives us some guardrails as we
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head into the next, uh, few weeks.
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There's gonna be a lot of
opportunities, a lot of new ideas.
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A lot of things that are shared with
you to try, but what we found most
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successful, especially with new tools
and new technologies, when you have at
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least some sort of, of framework or some
guardrails around you as you're exploring,
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uh, with them, that really sets the tone
and sets the frame for what you're doing.
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And so that is what, uh, we want to
go ahead and have, uh, for you today.
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So what does defining your ideal
client, uh, really overcome?
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So there's a few problems that,
that we use this tool, uh, to really
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overcome, uh, and focus in on.
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The first one being confusion.
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Um, if you think about it, especially
if you're in a business that's been
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around for a while, you've probably
got a lot of different customer
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avatars, um, which is totally great.
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The problem is over the years, as your
customer avatars grow in number and
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in size, you get further and further
away from who that ideal client is.
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Um, so it's taking a step back and
redefining exactly who that, that
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you know, kind of ideal customer.
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That ideal client is a really great
foundational piece, but then you
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can go in and look and say, okay.
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Now I can branch out and customize
my avatars, uh, more specifically to
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make sure that they are derivative
of the ideal customer and not
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someone completely different and
we're attracting the wrong people.
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None of that.
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If you've got a team, um, you
most likely have multiple pe,
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different people writing copy.
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Um, you want to be able to have clarity
on how do we message these people?
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What does, you know, what are they
dealing with in their daily life
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that we're trying to solve for them?
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What are, uh, you know, what are
the pieces that are gonna make
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them make a buying decision?
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And, and what do we know to
be true about those people?
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You also have too many
opinions on what that is.
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Uh, when you have a centralized document,
uh, for the company that people have
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agreed on and been able to, um, you,
you know, to, to collaborate on and
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have a final piece that can be used
throughout the company, whether it's
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for product or marketing or sales.
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Uh, it provides a, a common language
that you're able to use and, and,
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you know, that's what we're trying to
accomplish here because the reality
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is, We really need to fine tune who
we want to attract and who we want to
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bring in, because when you're speaking
to everybody, you call out no one.
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And that's what we wanna overcome and
that's what we wanna make sure we're
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really honing in on is, is our ability
to, to speak to that specific ideal
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person and leverage that, that ability
with the IO that we're using and the
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tools that we're using to make sure we're
honing in the content we're producing.
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Problem number two is lead quality.
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Uh, the most common problem I see,
uh, with marketers and with businesses
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that are complaining of getting
bad leads or low quality leads,
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is they aren't talking to their
specific ideal customer they serve.
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Uh, their messaging isn't
matching their ideal customer.
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Um, and so they're not
bringing the right person.
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Uh, so I always ask people to
go back and audit, who are you
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actually trying to message to?
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Who is that ideal person?
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And make sure your
marketing's in mind with that.
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Uh, cuz the dangerous piece here,
especially with ai, uh, Is if you're
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using AI with the wrong messaging, it's
only gonna make those things even worse.
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Um, if you don't have the guardrails for
AI to give back the specific content that
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you need, uh, and the specific copy that
you need, that's gonna convert for your
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ideal customer, you're gonna get further
and further away and have potentially get
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even worse, uh, results from your leads.
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Um, and, and really look at and
say, well, is AI not working
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well, the answer is probably no.
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It's just not getting the
right inputs that its needs.
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Uh, and last here.
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Here we go.
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Last, uh, is access.
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You know, as I mentioned on Thursday,
everybody now has access to ai.
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Uh, access isn't, isn't a,
uh, differentiator anymore.
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Uh, your prompts will help, but they
aren't strong enough, uh, on their own.
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So we need high quality inputs to
create high converting and attention
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grabbing outputs, uh, that meet our
ideal customers where they are at.
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So those are the problems we're
looking to overcome in this one.
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This one piece, uh, this one.
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Worksheet really will allow you
to have that and it'll be a great
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repository for you to pull from the
coming weeks as we look at new prompts
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and new strategies that we're we're
using to attract the right customers.
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So, My goal for you today, uh, that we're
gonna work towards is define our ideal
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aspirational customers so we can focus
on our messaging, prompting, and channel
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strategy to attract more of the customers
we want and repel the ones we don't want.
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So hopefully we're all aligned to that.
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Hopefully everyone, everyone wants
more of the customers they want and
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to repel the ones they don't want.
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Uh, I'm assuming that
if you're here, uh, and.
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You do marketing, uh, or run a
business at all that you would
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agree with that statement.
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Uh, and that's what we're
looking to solve for.
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And the way we're gonna do that is with
the ideal client profile book profiler.
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Sorry.
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Uh, and this is really getting back
to who your core ideal customer is.
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You know, to us and, and
where those come from.
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I know a lot of the questions,
uh, that we've got is, how's this
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different than customer avatar?
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Um, they're, they're complimentary, right?
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So this piece is really saying, who
is that one core ideal customer?
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Uh, or maybe it's two ideal customers
that we've really hone in on, and then
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we build our customers out from there.
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Um, so for instance, you
know, you may be at a.
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Let's say a SaaS company, right?
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And you've got a serve yourself option
sign up on, on the website option.
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Then you've got an enterprise
sales level option.
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So you've kinda got two core
ideal, uh, customers there, clients
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that you're looking to attract.
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Those would be your two ideal client
profiles that you'd want to have.
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And then your avatars are
gonna reach out from there.
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So within that subset of, of ideal people,
now what are some of those subsets that
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we can customize our messaging to and
branch out to bring in more people?
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But first we've gotta make sure we're
honed in on that ideal one to two,
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uh, types of clients or customers.
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Um, so how does it work?
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I'm gonna take you through step by step.
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So what you'll see actually pop back
over here is you guys can pull up the
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sheet if you've got it in front of you.
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It's gonna be super helpful cause
we're gonna walk through each box.
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I'm gonna show you what it is, what it
means, and I'm gonna show you how to
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use AI to help generate, uh, so you're
not staring at a blank page and you can
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customize to what you want it to be.
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So let's get into how it works.
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So step one we're gonna go into, it's
gonna be that first box on the top,
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uh, in the middle, which is gonna,
your demographics and your interests.
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And this is where, this is really where
we wanna start in saying what are kind
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of those four key, uh, demographics and
interests of people that, that are ideal
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clients that we're looking to attract.
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So, The question we're gonna ask
here is, what traits are common
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among my ideal aspirational clients?
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How do I know that those are common traits
that those people have that, you know,
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maybe our non-ideal customers don't have?
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Uh, comparing those two is, is a
great way to look at this as well and
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saying, well, Are these common, you
know, common traits among my ideal
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customer and my non-ideal customer?
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Then that's not something
you wanna put in this box.
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You wanna look at pieces that
are unique, uh, to your ideal
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aspirational clients or customers.
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Um, so how do we wanna do that?
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Uh, I'm gonna show you guys how to, how
to kind of generate ideas, especially if
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you don't know the answers to this yet.
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Um, so that you're able to fill out
the sheet, uh, as we go into the week,
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uh, just simply using free chat, g p T.
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So, Kind of step one I
popped over to, um, to chat.
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G B T, uh, first and foremost
said, Hey, can you help me identify
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customer demographics and interests?
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Um, certainly, uh, I'll need some
more information to get started.
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What type of business or product
are you trying to identify customer
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demographics and interests for?
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And what kind of data information do
you already have about your customers?
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This is a really cool, uh, kind
of nugget and takeaway on top of
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what we're talking about today.
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You can always ask the AI if they're
able to help you with a request.
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Like it was as simple as, can
you help me identify this?
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Uh, the answer is yes.
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And then it's gonna tell you
what the minimum inputs it needs
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to generate that content is.
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So in this case, it says, sure, I'm
happy to do that, but I need to know
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what kind of business or product, uh,
that you, that you wanna focus on, and
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what kind of data information you can
already provide about your customer.
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Now I'm gonna pull through an example
that I used, uh, from Friday when I was
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sharing my 10 minute, uh, my 10 minute
test, uh, where I created a fictitious
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company called Matt's Macaroons, which
is a local bakery, uh, selling macaroons.
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And that's what I'm gonna
use throughout here.
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So we have very specific language
that we can carry throughout
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and see how this is done.
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So I took that information from
Ja Chat to Tito said, okay, great.
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Well, my company, Matt's macaron
sells artisanal macaroons
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with a Parisian influence.
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All our ingredients are non G M O and we
use only Grasso butter and cage-free eggs.
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Our typical customers are
females, ages 35 to 45.
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So me as a, as the
bakery owner, the way I.
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The way I would about this is
what information do I have?
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Maybe it's a newly opened bakery and I
haven't been in business for very long
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and I want to have foundation because I
know a lot of times we get questions about
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like, what if I don't have customers yet?
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What if I'm just getting started
only on my first few customers?
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So I wanted to take, I.
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Take it down a little
bit from the details.
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Now, if you've been in business for
years and years, the more information you
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can, uh, fuse into that and explaining
what the product is or what the business
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is and the kind of data you already
have about your customers, the better.
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It's gonna help you really formulate
this so, And this is what it came
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back with, uh, of some specific
demographics or interests that,
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um, that the customer may have.
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So females, ages 35 to 45, middle
of to high income earners who are
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willing to pay, uh, a premium for
high quality and healthy food.
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They're probably college
educator or higher.
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I don't know that this,
that necessarily matters.
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So again, editing, this is
gonna be a real big part of the
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process that we're going through.
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If you're gonna leverage these tools,
uh, do you have a graphical location?
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Urban or urban areas with
higher income education levels.
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Okay.
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Um, and then interest.
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So foodies and people interested
in culinary arts make sense.
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Uh, health and wellness enthusiasts
to and non GMO and organic food.
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Maybe doesn't make sense that they're
health and wellness enthusiasts per
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se, that we're selling macro, but,
but that might be an outlier there.
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Um, In French culture, cuisine, desserts,
social media users who are interested
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in sharing visually appealing food and
desserts on platforms like Instagram
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where people are looking for unique and
high quality gifts to give for special
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occasions such as birthdays or holidays.
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So what Chat J p T did here is allowed
me to have at least a foundation.
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Now, my guess is a lot of you out
there probably already kind of
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have these demographic interests.
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Um, For your people and, and can
identify this with real data and
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that's better place to start.
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But again, I wanted to do this, um,
this use case for you guys, whereas if
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I didn't have much of that data, whereas
this was a newer business or I was
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starting things out, so we can kind of
start from scratch and go through it.
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But the more real data you
can fuse into it, the better.
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And that's why.
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Um, you know, kind of my note here is
when possible gather real specific data.
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Now the question is how do I gather
real specific data when it comes to,
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um, my demographics and interests?
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00:11:05,465 --> 00:11:06,935
Well, there's a few ways to do that.
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First of all, be conducting
customer surveys.
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Um, you can gather data in your customer's
purchase history and analyze it.
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00:11:13,845 --> 00:11:17,564
See if there's any patterns or trends
that's as easy as going into your c r m.
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00:11:17,569 --> 00:11:21,795
Looking at your ideal customers, what
are maybe those top five or 10% of
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00:11:21,795 --> 00:11:25,345
customers, uh, that you've had in your
business, uh, that are ideal for you?
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00:11:26,085 --> 00:11:28,865
You can also pop over, look at,
uh, social media analytics to
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identify what kind of content.
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Uh, your customers engage with and what
topics they're interested looking at
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some of your top posts, uh, your top
comments and, and what's over there.
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00:11:37,725 --> 00:11:40,455
Additionally, you can use tools
like Google Analytics to understand
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00:11:40,725 --> 00:11:43,515
what kind of website traffic you're
getting or gain insights into
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your customer's online behavior.
235
00:11:45,735 --> 00:11:48,885
But I find that, you know, conducting
surveys, and even better, we'll talk
236
00:11:48,885 --> 00:11:52,095
about this at the end, is, is conducting
actually real customer interviews
237
00:11:52,095 --> 00:11:53,865
can give you great, great insights.
238
00:11:53,865 --> 00:11:58,319
So, What I wanna do is say, okay, well I
wanna conduct a survey of my customers.
239
00:11:58,319 --> 00:12:01,230
I'm gonna, I've figured out who are
some ideal, ideal customers are,
240
00:12:01,230 --> 00:12:02,400
and I want to go and survey them.
241
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What should I ask them?
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00:12:03,960 --> 00:12:07,260
Well, that's another fun thing we
can do with, with, uh, with ai.
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00:12:07,530 --> 00:12:11,610
And so we popped over into, um,
demographics and, or popped over to
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00:12:11,615 --> 00:12:14,699
chat G B T and, and said here, you
know, act as a customer experience
245
00:12:14,699 --> 00:12:15,930
professional that works at Bakery.
246
00:12:16,380 --> 00:12:19,170
The company just launched a brand new
product, a salted caramel macaroon.
247
00:12:19,260 --> 00:12:22,140
They want to send out a survey to
people who've already bought, uh, their
248
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macarons to gauge their experience.
249
00:12:23,610 --> 00:12:26,425
Look, Look for ways to optimize the
product, potentially use feedback as a
250
00:12:26,425 --> 00:12:27,834
part of future marketing initiatives.
251
00:12:28,255 --> 00:12:30,594
Come up with a survey that can
achieve these things, and that's
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00:12:30,594 --> 00:12:33,685
what we're able to do is get a, a
baseline of a survey that we could
253
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send out to potential customers.
254
00:12:35,094 --> 00:12:38,905
So questions like, how satisfied
were you, were you with the purchase?
255
00:12:39,234 --> 00:12:41,724
What did you like most
about the salted macaroon?
256
00:12:42,200 --> 00:12:43,550
Is there anything you disliked?
257
00:12:43,640 --> 00:12:46,670
Uh, on a scale of one to 10,
how likely you recommend it?
258
00:12:46,970 --> 00:12:49,730
Uh, have you purchased any
other products from our bakery?
259
00:12:49,910 --> 00:12:51,740
Uh, and so on and so forth.
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Uh, all the way down to how I can
purchased, again, a fairly simple
261
00:12:55,880 --> 00:12:59,090
survey, but again, it's a great way
to just say, I need to do a survey.
262
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I need survey questions.
263
00:13:00,830 --> 00:13:04,010
Let me get 10 question
foundation in about 10 seconds.
264
00:13:04,460 --> 00:13:08,510
Um, And so this is a really cool tool
that you can, uh, a, a really cool
265
00:13:08,510 --> 00:13:11,180
way that you can just go and get a
baseline for the server that you wanna
266
00:13:11,180 --> 00:13:15,140
send out to your customers to get,
again, some of that real data back on
267
00:13:15,140 --> 00:13:18,200
their interests, on their demographics
and their feedback about what you do.
268
00:13:18,830 --> 00:13:22,790
So, putting that all together, uh,
together, if you guys want to go
269
00:13:22,790 --> 00:13:25,250
about it this way, I wanna share
kind of the prompt that we use there.
270
00:13:25,250 --> 00:13:28,790
Again, as we go throughout these weeks,
I wanna give you as many prompts that we
271
00:13:28,795 --> 00:13:30,620
use and ones that we like throughout it.
272
00:13:30,620 --> 00:13:32,210
So it's pretty simple.
273
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Step one was tell them what to act at.
274
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Act as.
275
00:13:35,685 --> 00:13:39,165
Act as a customer experience professional
that works at X, Y, Z type of
276
00:13:39,165 --> 00:13:41,115
company, uh, in this case is bakery.
277
00:13:41,535 --> 00:13:44,205
Uh, the company has just launched
a brand new product, uh, and
278
00:13:44,205 --> 00:13:45,555
explain the type of product it is.
279
00:13:45,555 --> 00:13:47,775
In this case, there's the
salted caramel macaroon.
280
00:13:48,285 --> 00:13:52,875
Uh, they wanna send out a survey to people
who have, and really there you can put in
281
00:13:52,875 --> 00:13:54,735
whatever action you wanted them to take.
282
00:13:54,735 --> 00:13:55,185
Maybe.
283
00:13:55,375 --> 00:13:58,855
Maybe I wanted to survey people who
bought macaroons from us before but
284
00:13:58,855 --> 00:14:01,885
haven't bought the salted caramel
macaroon, cuz it's a new one coming out.
285
00:14:02,245 --> 00:14:05,125
And so we wanna get their feedback
on our existing macarons, see if
286
00:14:05,125 --> 00:14:07,495
there's anything we should change
as we roll out this new product.
287
00:14:07,945 --> 00:14:11,395
Um, and we're looking forward to,
to gauge their experience, look for
288
00:14:11,395 --> 00:14:14,066
ways to optimize the product, and
potentially use feedback as part of,
289
00:14:14,555 --> 00:14:16,555
uh, the future market initiatives.
290
00:14:16,645 --> 00:14:19,795
Uh, and then come up with a survey
that can achieve these things.
291
00:14:20,545 --> 00:14:24,865
So, um, wrapping up kind of
demographics and interests there.
292
00:14:25,785 --> 00:14:30,015
I'm gonna go through out this presentation
and I'm gonna do a summary of each
293
00:14:30,015 --> 00:14:33,225
of these steps that we go through
showing you real examples of how we
294
00:14:33,225 --> 00:14:36,915
then took this information and data
that we have to then fill out this I C
295
00:14:36,915 --> 00:14:40,815
P, and then we'll have a finished one
at the end so you can kind of follow
296
00:14:40,815 --> 00:14:42,406
along step by step on how we did this.
297
00:14:42,411 --> 00:14:44,635
So, Demographics and interests.
298
00:14:45,115 --> 00:14:48,235
Uh, a female's ages 35 to
56 is who we're targeting.
299
00:14:48,715 --> 00:14:50,995
Uh, they're gonna be middle
to high income earners.
300
00:14:51,085 --> 00:14:53,905
Uh, this is more of a, we
see our macarons as a luxury.
301
00:14:53,905 --> 00:14:57,745
We're the higher priced macarons in town,
uh, because the ingredients we use, it's a
302
00:14:57,745 --> 00:15:00,355
luxury item, um, that we're in targeting.
303
00:15:00,385 --> 00:15:02,575
Uh, they're most likely in
urban and suburban areas with
304
00:15:02,605 --> 00:15:03,865
higher income and education.
305
00:15:04,175 --> 00:15:06,935
They're foodies and people interested
in culinary arts and they're
306
00:15:06,935 --> 00:15:10,385
social media users interested
in visually appealing food.
307
00:15:10,475 --> 00:15:13,175
We know that they love to post
pictures about the food that they're
308
00:15:13,175 --> 00:15:17,045
eating, uh, and cool stuff, uh, that
they're finding out in the town,
309
00:15:17,074 --> 00:15:18,215
uh, that they're engaging with.
310
00:15:18,365 --> 00:15:21,574
So that kind of gets out of the
way that the step one demographics
311
00:15:21,574 --> 00:15:22,476
and interest that gives us a.
312
00:15:22,785 --> 00:15:28,035
A really simple foundation of who is
that person, uh, that we're going after.
313
00:15:28,035 --> 00:15:31,485
And we're gonna take that information
and really expand beyond it, uh,
314
00:15:31,485 --> 00:15:33,615
as we go to, to fill in the rest.
315
00:15:33,615 --> 00:15:37,214
So, That's kind of that top box
and following down from there.
316
00:15:37,545 --> 00:15:41,505
Uh, step two, we want to define
the previous actions and purchases.
317
00:15:42,045 --> 00:15:43,425
Uh, so what does that mean?
318
00:15:43,425 --> 00:15:46,905
So previous action purchases, the
question you want to ask yourself
319
00:15:46,905 --> 00:15:50,204
and the data that you have is, what
investments have they already made?
320
00:15:50,830 --> 00:15:53,350
Uh, what's their potential sunk cost?
321
00:15:53,470 --> 00:15:55,600
Um, so have they made other purchase?
322
00:15:55,600 --> 00:15:58,360
Have they tried other ways to solve
the problem that you're solving?
323
00:15:58,660 --> 00:16:01,540
Um, it doesn't necessarily have to be
that they've made an investment of money.
324
00:16:01,540 --> 00:16:03,250
Have they made an investment of time?
325
00:16:03,550 --> 00:16:06,460
Uh, have they been researching,
uh, coming up to it?
326
00:16:06,460 --> 00:16:10,720
But what really, in an ideal, again, back
to ideal, I wanna make this point again,
327
00:16:10,720 --> 00:16:15,460
is we're talking is an an ideal sales
conversation, an ideal customer journey.
328
00:16:16,065 --> 00:16:18,885
What are those previous actions
or purchases they would've made
329
00:16:18,885 --> 00:16:22,515
that's gonna lead them, uh, to a
conversion decision with your company?
330
00:16:23,069 --> 00:16:27,989
Now popping back over to chat g
p t, um, for the above customer,
331
00:16:28,050 --> 00:16:30,689
that's the nice thing if you're
staying within any of the chat tools,
332
00:16:30,689 --> 00:16:32,729
Jasper's got a chat function as well.
333
00:16:32,969 --> 00:16:34,290
Uh, as, as some of the others.
334
00:16:34,290 --> 00:16:38,369
You're able to really keep up that
chat within a single, uh, kind of.
335
00:16:38,650 --> 00:16:39,520
Mental thread.
336
00:16:39,520 --> 00:16:42,700
So if you're starting to, you know,
one, quite a quick note for those who
337
00:16:42,700 --> 00:16:46,720
are newer users to ai, if you want to
ask a different thing, especially a
338
00:16:46,720 --> 00:16:50,560
chat g p T, make sure to start a new
chat because you're asking something
339
00:16:50,560 --> 00:16:55,360
on one topic and then try to change
that current chat into talking about a
340
00:16:55,360 --> 00:16:56,510
different topic or a different person.
341
00:16:57,555 --> 00:17:00,675
It will tend to pull in some of
the earlier data that it's used
342
00:17:00,675 --> 00:17:02,235
to to provide those questions.
343
00:17:02,235 --> 00:17:05,325
So you wanna make sure that you're
starting fresh with a new chat, uh,
344
00:17:05,325 --> 00:17:08,925
and giving it as much information
in the beginning of that chat as
345
00:17:08,925 --> 00:17:12,735
possible that you're able to then pull
through, uh, throughout the rest of
346
00:17:12,735 --> 00:17:16,175
the, um, The chat that you're having
and the questions that you're asking.
347
00:17:16,175 --> 00:17:19,294
So in this case, was able to say for
the above customer, what previous
348
00:17:19,294 --> 00:17:23,194
actions may they have taken, uh,
related to purchasing our ma macaroons.
349
00:17:23,675 --> 00:17:26,885
Um, and we got a great list here,
uh, of a bunch of different ones
350
00:17:26,915 --> 00:17:32,165
and where now we sit is through
using AI and and chat G B T.
351
00:17:32,580 --> 00:17:34,620
Now we need to overlay the human element.
352
00:17:34,889 --> 00:17:37,560
What we need to do here is trim
through the, the fad and only
353
00:17:37,560 --> 00:17:41,129
choose what is relevant to our
companies and to our customers.
354
00:17:41,760 --> 00:17:45,060
Um, so going through here, some of
the, the previous actions they took
355
00:17:45,060 --> 00:17:49,860
that stood out for, for our bakery is,
well, they followed other artisan or
356
00:17:49,860 --> 00:17:51,810
gourmet food brands on social media.
357
00:17:51,960 --> 00:17:52,770
Okay, great.
358
00:17:52,950 --> 00:17:55,020
We know who we can go
look at and target there.
359
00:17:55,530 --> 00:17:58,710
The attended food and wine festivals
or other food related events, those
360
00:17:58,710 --> 00:18:00,120
that stood out to us, there's.
361
00:18:00,645 --> 00:18:03,945
You know, our bakeries in a town that's
got a lot of food and wine festivals.
362
00:18:03,945 --> 00:18:06,254
Maybe it's something we should
be looking at attending, uh,
363
00:18:06,254 --> 00:18:07,905
and sampling our macarons there.
364
00:18:08,490 --> 00:18:11,190
That's kind of step one of
the, the previous actions.
365
00:18:11,760 --> 00:18:15,570
Then we wanna take it the next step and
say from, uh, the above customer, what
366
00:18:15,570 --> 00:18:19,800
previous purchases may they have made
related to purchasing our macaroons?
367
00:18:20,010 --> 00:18:23,430
And you'll see there, I use the
word May in these questions to
368
00:18:23,430 --> 00:18:26,490
get a list of options so that
then I can fine tune and trim.
369
00:18:27,095 --> 00:18:29,255
Uh, I don't wanna be specific as much.
370
00:18:29,255 --> 00:18:30,695
I wanna say, what's
something they may have done?
371
00:18:30,755 --> 00:18:31,835
Give me some options.
372
00:18:32,255 --> 00:18:35,885
Um, and so that we can use that human
element to really fine tune in and
373
00:18:35,885 --> 00:18:39,245
see what kind of options are out
there, uh, versus being, try trying
374
00:18:39,250 --> 00:18:42,755
to be too specific with it and force
an output that may not be accurate.
375
00:18:42,845 --> 00:18:45,365
So based on the information,
the typical customer.
376
00:18:47,004 --> 00:18:48,745
The high quality gourmet
nature, your product.
377
00:18:48,745 --> 00:18:53,034
Here's some possible, uh, previous
purchases and what stood out to us here,
378
00:18:53,095 --> 00:18:56,635
uh, would be one other premium gourmet
desserts or chocolates such as truffles.
379
00:18:56,815 --> 00:18:57,205
Okay.
380
00:18:57,210 --> 00:18:57,925
Very interesting.
381
00:18:57,930 --> 00:19:01,945
Someone that has previously
bought truffles, um, could be a
382
00:19:01,945 --> 00:19:03,355
really great purchaser for us.
383
00:19:03,965 --> 00:19:07,745
The other thing being, uh, organic
and non GMO snacks and food products.
384
00:19:07,745 --> 00:19:09,335
That's a big selling point.
385
00:19:09,335 --> 00:19:13,715
A unique selling proposition in Matts
macaroons is we fly in our butter and
386
00:19:13,715 --> 00:19:15,785
eggs from France, uh, once a week.
387
00:19:15,875 --> 00:19:21,335
Uh, they're all, uh, grass fed,
non g m o, cage free, all that
388
00:19:21,335 --> 00:19:22,355
kind of stuff to go along with it.
389
00:19:22,575 --> 00:19:25,955
So looking at people that are interested
in that, that's a point that we can.
390
00:19:26,365 --> 00:19:29,814
Say if they've purchased those, made those
types of purchasing decisions in the past,
391
00:19:29,814 --> 00:19:32,125
that might be a, an ideal customer for us.
392
00:19:32,395 --> 00:19:36,385
And even more so layering on top of that
would be luxury or specialty food items
393
00:19:36,745 --> 00:19:40,165
that are often associated with high-end
or French cuisine, such as caviar.
394
00:19:40,165 --> 00:19:45,115
And we know if someone is, is really
into French cuisine and especially the
395
00:19:45,120 --> 00:19:49,105
luxury and especially food items of
it, that a Macon could be a great fit.
396
00:19:49,695 --> 00:19:52,485
So now we're able to take what we
find and come over to our previous
397
00:19:52,485 --> 00:19:55,965
accent and purchases and say, okay,
what is this person gonna look like?
398
00:19:55,965 --> 00:19:59,655
So other premium gourmet desserts, uh,
they probably have bought along the way.
399
00:19:59,715 --> 00:20:01,635
Uh, something like buying, uh, truffles.
400
00:20:02,655 --> 00:20:05,625
Um, they are a shopper and
user of organic, uh, or non
401
00:20:05,625 --> 00:20:06,885
GMO snacks and desserts.
402
00:20:07,235 --> 00:20:11,254
Um, they like, uh, luxury French,
uh, should say food typo there.
403
00:20:11,284 --> 00:20:11,645
Thanks.
404
00:20:11,945 --> 00:20:13,264
Uh, sorry about that.
405
00:20:13,385 --> 00:20:17,495
Uh, luxury food items, uh, such
as caviar and fa gra, uh, that's
406
00:20:17,495 --> 00:20:18,875
really gonna fine tune down.
407
00:20:18,875 --> 00:20:23,284
Our ideal customer, they attend food
and wine festivals, uh, and they
408
00:20:23,284 --> 00:20:25,514
follow, uh, artisanal brands on social.
409
00:20:26,705 --> 00:20:31,745
Now we've got our kind of previous actions
and purchases for that ideal customer and
410
00:20:31,745 --> 00:20:33,814
it kind of tick the first two boxes there.
411
00:20:33,820 --> 00:20:35,915
And so from there we're
gonna move into, say now.
412
00:20:35,945 --> 00:20:36,365
Okay.
413
00:20:36,824 --> 00:20:37,875
We know generally who they are.
414
00:20:38,264 --> 00:20:40,544
We have an idea of who their
demographics and interests are.
415
00:20:40,574 --> 00:20:43,485
We kind of know what some of the previous
actions or purchase they would've
416
00:20:43,485 --> 00:20:45,435
taken that make them an ideal customer.
417
00:20:45,435 --> 00:20:49,034
So the next step is saying what
are some of those key purchase
418
00:20:49,034 --> 00:20:51,854
drivers that would make them make a
decision to make an investment with
419
00:20:51,854 --> 00:20:52,935
us and to buy our medical rooms?
420
00:20:53,895 --> 00:20:55,275
So key purchase drivers.
421
00:20:55,665 --> 00:20:57,945
Uh, the question we wanna ask
ourselves when we're filling out
422
00:20:57,945 --> 00:21:02,385
this box is what causes them to
take action or we would need to be
423
00:21:02,390 --> 00:21:04,425
true to enable them taking action.
424
00:21:04,545 --> 00:21:06,635
What is going to get the conversion right?
425
00:21:07,095 --> 00:21:07,635
At the end of the day?
426
00:21:07,640 --> 00:21:10,485
What's gonna be important to them and
what's going to get that conversion?
427
00:21:11,235 --> 00:21:14,625
And so, uh, what I wanna share
with you are some different types
428
00:21:14,625 --> 00:21:17,295
of purchase drivers as you think
about this, especially again,
429
00:21:17,325 --> 00:21:19,155
having that human filtering element.
430
00:21:19,155 --> 00:21:22,305
If you are using chat, g p t, uh,
that you're able to go over and
431
00:21:22,305 --> 00:21:26,805
filter with is, um, what are those
types of, of purchase drivers that we
432
00:21:26,805 --> 00:21:28,275
should be looking for in considering?
433
00:21:28,665 --> 00:21:32,325
Um, so there's seven types of purchase
drivers that we've identified, uh,
434
00:21:32,325 --> 00:21:35,415
that you can utilize and leverage,
uh, throughout this number one.
435
00:21:36,129 --> 00:21:37,300
Uh, it's gonna be necessity.
436
00:21:37,360 --> 00:21:39,879
Uh, what needs or pain points
does your customer have that
437
00:21:39,885 --> 00:21:40,929
your product alleviates?
438
00:21:41,439 --> 00:21:43,959
Uh, now one point on
pain points and needs.
439
00:21:44,670 --> 00:21:46,830
What you really want to
expand your thinking about.
440
00:21:47,040 --> 00:21:49,590
There's kind of really two
different types of needs, right?
441
00:21:49,590 --> 00:21:51,420
There's urgent needs and
there's latent needs.
442
00:21:51,540 --> 00:21:54,450
The urgent needs being person
knows they have a need right now.
443
00:21:54,450 --> 00:21:55,350
It's gotta be solved.
444
00:21:55,590 --> 00:21:58,560
The latent need is they may not
actually know that they have
445
00:21:58,565 --> 00:22:01,260
this problem that needs to be
solved, but they definitely do.
446
00:22:01,260 --> 00:22:02,340
They just don't know it yet.
447
00:22:03,030 --> 00:22:05,400
Um, so to, to give you an example of that.
448
00:22:05,930 --> 00:22:10,160
Uh, an entry analogy would be, let's
see, I sold, uh, water pumps, right?
449
00:22:10,250 --> 00:22:13,160
I'm a water pump salesman that's
out there selling water pumps.
450
00:22:13,160 --> 00:22:17,840
So, uh, and I have one house left that
I'm go going to try to get them to
451
00:22:17,840 --> 00:22:20,870
install a water pump in their basement
so it doesn't, in case it floods.
452
00:22:21,380 --> 00:22:24,710
But what the, that neighbor may not know
is that all their neighbors' basements
453
00:22:24,710 --> 00:22:26,570
have flooded within the last six months.
454
00:22:26,990 --> 00:22:30,140
They're the last one that hasn't
flooded, and they have no I idea.
455
00:22:30,380 --> 00:22:35,465
And by simply presenting them with
this fact, um, Maybe all it takes to
456
00:22:35,465 --> 00:22:37,325
turn a latent need into an urgent need.
457
00:22:37,715 --> 00:22:40,055
It's like, hey, all of your other
neighbors, their basements have flooded,
458
00:22:40,055 --> 00:22:44,254
they've lost precious valuables and
they've had damage to their structure.
459
00:22:44,435 --> 00:22:45,695
Like, your house is not flooded.
460
00:22:45,700 --> 00:22:46,205
That's great.
461
00:22:46,205 --> 00:22:46,745
But what happened?
462
00:22:46,745 --> 00:22:50,405
If it does, um, the fact that this has
happened, everybody else in the last
463
00:22:50,405 --> 00:22:55,025
six months, um, would show us that,
you know, there is a need here and
464
00:22:55,025 --> 00:22:56,345
it's something that you wanna focus on.
465
00:22:56,345 --> 00:22:59,254
So understanding the difference
between urgent and late, urgent
466
00:22:59,254 --> 00:23:02,165
and latent needs and being able
to change that in your messaging.
467
00:23:02,790 --> 00:23:05,610
Second type of purchase
driver is convenience.
468
00:23:05,670 --> 00:23:09,100
Uh, someone's gonna decrease their
hassles and make life easier for them.
469
00:23:10,125 --> 00:23:11,445
Um, security and protection.
470
00:23:11,895 --> 00:23:15,495
Uh, does your product decrease the
chance of future pain and shield
471
00:23:15,585 --> 00:23:17,115
your customer from the unknown?
472
00:23:17,745 --> 00:23:19,545
Uh, maybe it's fear of missing out, fomo.
473
00:23:19,605 --> 00:23:24,105
Um, maybe they're, they wanna get the
same benefits, rewards and prestige
474
00:23:24,105 --> 00:23:25,635
that the other buyers have experienced.
475
00:23:25,995 --> 00:23:27,255
They just wanna follow along with the her.
476
00:23:28,004 --> 00:23:30,465
Um, maybe it's identity
and belong belonging.
477
00:23:30,554 --> 00:23:32,685
And this is really identity reinforcement.
478
00:23:32,685 --> 00:23:35,685
Everybody's trying to conceal
their weakness, uh, and compensate
479
00:23:35,685 --> 00:23:37,905
it, uh, compensate with money.
480
00:23:38,294 --> 00:23:41,324
Uh, what can they buy that's going
to, to conceal that and, and really
481
00:23:41,324 --> 00:23:43,975
secure their identity and their
belonging, uh, of who they are.
482
00:23:44,475 --> 00:23:46,125
Uh, Maybe it's the simplest price.
483
00:23:46,315 --> 00:23:49,305
Sometimes, uh, the discounter
value is just enough to buy the
484
00:23:49,305 --> 00:23:50,535
stuff they don't want or need.
485
00:23:50,955 --> 00:23:53,175
It's like when you're at the,
the supermarket and it's a two
486
00:23:53,175 --> 00:23:54,855
for one or a three for one sale.
487
00:23:55,035 --> 00:23:57,855
You were there, you to
get one box of pasta.
488
00:23:57,945 --> 00:24:01,755
You have no plans to cook another box of
pasta, but it's buy one, get one free.
489
00:24:01,755 --> 00:24:02,655
You're going to buy.
490
00:24:02,685 --> 00:24:05,925
Get that, that box of pasta and
get that second box for free.
491
00:24:06,285 --> 00:24:08,625
Uh, sometimes price I is the driver there.
492
00:24:09,200 --> 00:24:10,100
And less pleasure.
493
00:24:10,340 --> 00:24:13,100
Um, customers obtain joy by buying
things that make them happy.
494
00:24:13,280 --> 00:24:16,370
So in this case, a lot of the, the
purchase drivers that we're gonna be
495
00:24:16,370 --> 00:24:19,760
focusing on for Matt's macaroons are
gonna fall more in that pleasure.
496
00:24:19,820 --> 00:24:21,139
Um, customers obtain joy.
497
00:24:21,139 --> 00:24:22,280
It's a luxury item.
498
00:24:22,700 --> 00:24:26,330
Um, but there's also a little bit of
identity and belonging in there, uh,
499
00:24:26,335 --> 00:24:27,780
in that this is kind of a luxury item.
500
00:24:28,070 --> 00:24:30,300
It's higher end, it's something
they can share on social media.
501
00:24:30,920 --> 00:24:33,320
Um, it's something they can
kind of impress their friends
502
00:24:33,320 --> 00:24:34,639
with as gifts and whatnot.
503
00:24:34,670 --> 00:24:36,740
So that's what we are looking at there.
504
00:24:36,740 --> 00:24:39,800
So, Popping back over to to chat G B T.
505
00:24:40,780 --> 00:24:44,370
And then we'll say from the above customer
what may be their key purchase drivers.
506
00:24:45,000 --> 00:24:48,570
Um, and what we got back was, you know,
based on customer demographics and
507
00:24:48,570 --> 00:24:51,750
interest you provided, here are some
key purchase drivers that may motivate
508
00:24:51,750 --> 00:24:55,830
your typical customer to purchase your
macaroons and editing through here.
509
00:24:55,860 --> 00:24:58,800
What kind of stood out, uh,
for Matt's macaroon is, is one
510
00:24:58,800 --> 00:24:59,880
the high quality ingredients.
511
00:25:00,220 --> 00:25:03,210
We know that's a big selling point,
uh, of what we have, and that's
512
00:25:03,210 --> 00:25:06,930
something we're gonna highlight,
um, for our customers, for our ideal
513
00:25:06,930 --> 00:25:08,430
customer, that's important to them.
514
00:25:09,095 --> 00:25:12,065
For our ideal customer, high quality
ingredients are very important.
515
00:25:12,065 --> 00:25:16,774
That is why we take the extra effort
to actually fly in the the eggs and
516
00:25:16,774 --> 00:25:19,534
the butter and make sure they're
grass fed, fed, and cage free.
517
00:25:19,540 --> 00:25:20,825
They're actually from France.
518
00:25:20,830 --> 00:25:25,264
There's non GMO ingredients, et cetera,
et cetera, so we wanna be our ideal
519
00:25:25,270 --> 00:25:26,706
client that would be important to them.
520
00:25:27,710 --> 00:25:32,570
It's also important to our, uh, ideal
client that about unique flavors.
521
00:25:32,570 --> 00:25:35,000
They want to try new and
interesting flavor combinations.
522
00:25:35,300 --> 00:25:38,000
There's plenty of supermarkets
out there that sell macaroons.
523
00:25:38,000 --> 00:25:39,350
They can go buy that.
524
00:25:39,350 --> 00:25:41,899
They might be able to get
like a, you know, vanilla or a
525
00:25:41,899 --> 00:25:43,520
strawberry, whatever's out there.
526
00:25:43,520 --> 00:25:47,000
But at Mac Matt's macaroons, we
make very interesting, new, exciting
527
00:25:47,000 --> 00:25:49,280
flavors that roll out, uh, every month.
528
00:25:50,235 --> 00:25:53,985
And visual appeal, again, going
back to that identity reinforcement.
529
00:25:54,285 --> 00:25:57,495
Um, what we wanna make sure is
that, you know, we've got these
530
00:25:57,495 --> 00:25:59,385
macaroons that really stand out.
531
00:25:59,475 --> 00:26:01,965
Um, there's something they
can post on social media.
532
00:26:01,970 --> 00:26:05,385
It's something they can share with
their friends, um, and, and looks really
533
00:26:05,385 --> 00:26:08,975
cool and is a, an experience along
with just having a, a, a little treat.
534
00:26:09,765 --> 00:26:11,895
And last, personalization
and customization.
535
00:26:12,285 --> 00:26:17,235
Uh, the ability for them to, uh, have
custom packaging or, or gift messaging.
536
00:26:17,235 --> 00:26:22,065
So, What that kind of gave us here was a
foundation for our key purchase drivers.
537
00:26:22,065 --> 00:26:25,245
So one being high quality
ingredients, non-GMO grass fed.
538
00:26:25,245 --> 00:26:28,635
We've got the unique flavors with
our salted caramel flavor coming out.
539
00:26:28,905 --> 00:26:33,375
Uh, the visual appeal here we might
decide is that, um, you know, we've
540
00:26:33,375 --> 00:26:36,645
got a social media booth, uh, photo
booth that we end up building at our
541
00:26:36,650 --> 00:26:40,875
bakery where people can take really
cool, unique pictures, uh, with their
542
00:26:40,875 --> 00:26:42,945
macaroons, uh, there at the bakery.
543
00:26:43,680 --> 00:26:46,080
And then personalization and
customization, highlighting our
544
00:26:46,080 --> 00:26:49,440
birthday packages that we sell,
uh, that people are able to give
545
00:26:49,440 --> 00:26:50,910
to their friends, to impress them.
546
00:26:51,660 --> 00:26:55,080
So we've kind of now filled
out that center, uh, of the,
547
00:26:55,140 --> 00:26:56,520
the ideal client profiler.
548
00:26:56,520 --> 00:27:00,900
We've got kind of those three foundational
pieces, um, that we really need to
549
00:27:00,900 --> 00:27:03,840
know about who our ideal customer is.
550
00:27:04,140 --> 00:27:06,840
And now what we want to do is say,
okay, we're gonna kind of step
551
00:27:06,840 --> 00:27:09,810
out to the sides there, which is
gonna be that before and after.
552
00:27:10,470 --> 00:27:13,830
Which is step four here is
gonna be our before and after.
553
00:27:13,980 --> 00:27:15,090
So before and after.
554
00:27:15,420 --> 00:27:18,360
The reality is people don't
buy products or services.
555
00:27:18,360 --> 00:27:20,250
They buy transformations.
556
00:27:20,460 --> 00:27:22,470
They're buying a transformation.
557
00:27:22,500 --> 00:27:25,080
It's something that's gonna take
them for where they're at today.
558
00:27:25,110 --> 00:27:25,800
They're before state.
559
00:27:26,410 --> 00:27:28,870
To where they are after they make
that purchase, their after state.
560
00:27:29,560 --> 00:27:30,700
So they're before state.
561
00:27:30,970 --> 00:27:33,400
They might be in pain, they
might be bored, they might be
562
00:27:33,400 --> 00:27:37,360
unsuccessful, frightened, or
unhappy for a number of of reasons.
563
00:27:37,360 --> 00:27:40,150
And what we're trying to do in our
messaging and what we're doing is
564
00:27:40,150 --> 00:27:44,034
marketers in general, uh, Is show
them what the after state looks like.
565
00:27:44,095 --> 00:27:48,385
We're trying to get them from before
to after, where, you know, our product
566
00:27:48,385 --> 00:27:49,945
has stepped in to solve their problems.
567
00:27:49,945 --> 00:27:52,044
So they're free of pain, they're
entertained, they're successful,
568
00:27:52,044 --> 00:27:55,825
they're unafraid, they're happy, they're
feeling all of those positive emotions.
569
00:27:56,095 --> 00:27:59,665
But to get there, we wanna be really
specific about what is the before
570
00:27:59,665 --> 00:28:02,485
and what's the after like we can say
we wanna get them from unhappy to
571
00:28:02,485 --> 00:28:04,165
happy, but that's just foundational.
572
00:28:04,555 --> 00:28:07,735
We need to get specific on what
that before and after state is.
573
00:28:08,490 --> 00:28:11,955
And I know this is a place where
people sometimes have a tough time
574
00:28:12,155 --> 00:28:14,925
understanding where, where is that before?
575
00:28:15,135 --> 00:28:17,685
Uh, I know, I know what the
after is for my customer, right?
576
00:28:17,685 --> 00:28:21,465
I know what I can make them feel, but
I'm not quite sure what the before is.
577
00:28:21,794 --> 00:28:26,385
Uh, and that's a cool place that we can
leverage AI to give us a great foundation
578
00:28:26,385 --> 00:28:28,574
to, to, to ideate and have new ideas.
579
00:28:28,635 --> 00:28:30,645
So, who did this here?
580
00:28:30,945 --> 00:28:34,395
Um, it was a simple prompt for the
above customer, right before and
581
00:28:34,395 --> 00:28:37,574
after statements for what they have,
how they feel, what their average day
582
00:28:37,580 --> 00:28:39,135
looks like and their status in life.
583
00:28:39,594 --> 00:28:41,834
And it gave us some great options here.
584
00:28:42,330 --> 00:28:45,270
Um, you know what they have before,
they had limited options for
585
00:28:45,360 --> 00:28:48,390
gourmet and artisanal desserts that
meet the standards for high, for
586
00:28:48,390 --> 00:28:49,500
quality and healthy ingredients.
587
00:28:49,500 --> 00:28:52,950
Again, as you'll see here, the more
we're able to build up that chat,
588
00:28:52,950 --> 00:28:56,850
it got more specific to the answers
that, that we gave it or to, to the
589
00:28:56,850 --> 00:28:58,021
data that we gave it earlier on.
590
00:28:59,415 --> 00:29:01,845
After they have accessed high
quality and delicious macarons with
591
00:29:01,845 --> 00:29:05,085
non-GMO ingredients, grass root
butter, and cage three eggs, uh, how
592
00:29:05,085 --> 00:29:08,445
they feel they're, uh, frustrated,
dissatisfied, the lack of healthy and
593
00:29:08,445 --> 00:29:10,125
high quality dessert options for them.
594
00:29:10,455 --> 00:29:13,395
After they're satisfied, they
found a new gourmet dessert option.
595
00:29:13,665 --> 00:29:15,855
Um, you know, what does
their average day look like?
596
00:29:16,325 --> 00:29:19,895
Before they're busy and stressed,
uh, with little time for self-care,
597
00:29:19,895 --> 00:29:23,315
indulging in luxury items, again,
we're of a luxury sale here.
598
00:29:23,735 --> 00:29:26,675
Uh, we're after they're enjoying
small indulgences, like a delicious
599
00:29:26,680 --> 00:29:29,855
macaroon as a way to add some
pleasure and luxury to their busy day.
600
00:29:30,405 --> 00:29:31,575
And their status in life.
601
00:29:32,024 --> 00:29:34,725
You know, as we talked about,
these are mo, you know, or Target.
602
00:29:34,725 --> 00:29:39,405
Our ideal client is min, middle
to high income, uh, individuals.
603
00:29:39,405 --> 00:29:41,865
So they're successful and and
accomplished, but feeling limited
604
00:29:41,865 --> 00:29:45,615
in their ability to indulge in high
quality and healthy food options after
605
00:29:45,615 --> 00:29:48,794
they are able to indulge in gourmet
desserts that align with their values
606
00:29:48,935 --> 00:29:50,835
and priorities for healthy living.
607
00:29:51,524 --> 00:29:53,325
Now, quick note, I wanna make.
608
00:29:54,030 --> 00:29:57,120
I can't and shouldn't do
all the hard work for you.
609
00:29:57,389 --> 00:30:00,180
What I'm giving you here is
a great starting spot and a
610
00:30:00,180 --> 00:30:02,250
place that can give you ideas.
611
00:30:02,280 --> 00:30:05,520
There's nothing harder, uh,
from what I believe and what a
612
00:30:05,524 --> 00:30:06,720
lot of people will agree with.
613
00:30:06,720 --> 00:30:09,149
There's nothing harder than staring
at a blank screen or a blank piece
614
00:30:09,155 --> 00:30:10,530
of paper and starting from scratch.
615
00:30:11,010 --> 00:30:15,000
This is a great place to be able
to ideate and start with something
616
00:30:15,000 --> 00:30:19,020
more than scratch, give you ideas,
expand your mindset, or even put
617
00:30:19,020 --> 00:30:21,750
into words things that you know
to be true about your customer.
618
00:30:22,050 --> 00:30:25,470
Um, but you just can't quite figure
out the words, uh, to say it right.
619
00:30:26,250 --> 00:30:30,720
But not only, you know, not only shouldn't
do all the hard work for you, the big
620
00:30:30,720 --> 00:30:35,130
part is can't, and this is where I kind of
wanted to share the last piece of before
621
00:30:35,130 --> 00:30:37,080
and after, is that good versus evil.
622
00:30:37,260 --> 00:30:41,130
Um, and so that is one limitation
that we have here, especially if
623
00:30:41,130 --> 00:30:44,610
you're using a free option like chat,
G b T, uh, cuz looking at it for the
624
00:30:44,610 --> 00:30:47,400
above customer, think about their
before state from a moral standpoint.
625
00:30:47,400 --> 00:30:50,010
Is there some greater evil in
the world that you could use
626
00:30:50,010 --> 00:30:51,390
to tie into their before state?
627
00:30:52,110 --> 00:30:58,830
And the simple answer there was no, as
an AI tool bay, I tried to massage this
628
00:30:58,830 --> 00:31:03,810
wording probably a dozen different ways
to try and get some sort of answer for it.
629
00:31:03,990 --> 00:31:07,620
Uh, and it just refuses to, uh,
to spit out any sort of usable
630
00:31:07,620 --> 00:31:09,870
content, uh, or ideas to use it.
631
00:31:09,875 --> 00:31:13,290
So it's something that we have
to kind of step in and say, okay,
632
00:31:13,290 --> 00:31:16,050
let's, let's put on our thinking
caps and do some of the hard work.
633
00:31:16,050 --> 00:31:17,669
So I'm gonna give you
a framework for how we.
634
00:31:18,235 --> 00:31:20,695
How we figure out kind
of that good versus evil?
635
00:31:20,695 --> 00:31:21,385
What's that?
636
00:31:21,504 --> 00:31:24,145
What's that internal battle
that they have that's gonna be
637
00:31:24,145 --> 00:31:25,645
alleviated with your customer?
638
00:31:25,645 --> 00:31:29,250
So, And the before state,
uh, for good versus evil.
639
00:31:29,370 --> 00:31:30,450
Think about the before state.
640
00:31:30,480 --> 00:31:33,450
Uh, from a moral standpoint again,
is there some greater evil in the
641
00:31:33,450 --> 00:31:37,950
world that you can, uh, use to tie
into this before state, um, that,
642
00:31:37,955 --> 00:31:39,270
that your person might be feeling.
643
00:31:39,270 --> 00:31:43,170
So in this case, for, from a macarons
came up with, you know, the food
644
00:31:43,170 --> 00:31:45,370
industry is loaded, preservatives,
additives, and fillers that destroy
645
00:31:45,370 --> 00:31:47,130
our planet and are bad for our health.
646
00:31:47,160 --> 00:31:51,180
Even those artisanal and gourmet
snacks on the shelves, I have it too.
647
00:31:52,125 --> 00:31:54,900
That's kinda what they're fighting
against is I want this high and
648
00:31:54,900 --> 00:31:57,930
high quality product that doesn't
have any fillers, isn't gonna be
649
00:31:57,930 --> 00:31:59,280
bad for the planet, isn't gonna use.
650
00:31:59,940 --> 00:32:03,900
Uh, eggs from chickens that are in,
you know, crazy millions of chicken,
651
00:32:03,900 --> 00:32:06,420
chicken farms and all that kind of stuff.
652
00:32:06,420 --> 00:32:10,500
So the after then is gonna be,
um, you know, think about the
653
00:32:10,500 --> 00:32:11,880
evil from the before state.
654
00:32:11,880 --> 00:32:15,880
Now, describe how your avatar can overcome
it and do good for the entire world.
655
00:32:16,700 --> 00:32:19,399
So in this case, a and again,
this is actually, this is where
656
00:32:19,399 --> 00:32:20,540
it can get really challenging.
657
00:32:20,780 --> 00:32:24,260
Uh, and it's not always the easiest thing
to do, but it's worth it at the end cuz
658
00:32:24,260 --> 00:32:27,320
these are the type of hills that, you
know, you kind of plant to flag in and
659
00:32:27,320 --> 00:32:29,240
say, this is what our company stands for.
660
00:32:29,600 --> 00:32:32,899
Uh, and sometimes if you're stuck in
a good way is to work backwards and
661
00:32:32,899 --> 00:32:34,010
say, what are some of those things?
662
00:32:34,014 --> 00:32:35,000
What are some of those we believes?
663
00:32:35,000 --> 00:32:37,399
What are some of those things
that our company stands for?
664
00:32:37,669 --> 00:32:40,550
Um, and kind of put
that in the after state.
665
00:32:40,805 --> 00:32:44,345
Um, and then say, what would, what would
our ideal customer kind of feel before
666
00:32:44,345 --> 00:32:48,275
that, uh, as the, as the before, as
that evil that we're overcoming, but.
667
00:32:48,899 --> 00:32:53,280
For this example, we said, uh, the
actors said, be my daily small indulgence
668
00:32:53,280 --> 00:32:55,679
is not only good for the planet,
also aligns with my health goals.
669
00:32:56,010 --> 00:32:57,990
Um, I'm eating cleaner.
670
00:32:58,230 --> 00:33:01,980
Uh, the animals that it's being
produced from are, are, uh, are
671
00:33:01,980 --> 00:33:06,060
sustainable, they're taken care
of hopefully, uh, and whatnot.
672
00:33:06,060 --> 00:33:08,700
And so that's kind of that
good for an entire world.
673
00:33:08,700 --> 00:33:09,750
Yes, to the small sampling.
674
00:33:09,750 --> 00:33:11,100
We're talking about a dessert.
675
00:33:11,100 --> 00:33:15,510
But in it also does give an ethos too
to what we're talking about here, uh,
676
00:33:15,510 --> 00:33:16,950
and what our customer's gonna believe.
677
00:33:16,950 --> 00:33:21,225
So, That's a really good spot to sit down
and say, you know, what, what is kind of
678
00:33:21,225 --> 00:33:25,125
that before and after good versus equal
that our customer might need to believe
679
00:33:25,125 --> 00:33:29,175
is true, uh, for them to align with
our goal and become our ideal customer.
680
00:33:29,834 --> 00:33:31,004
And so what does that give us?
681
00:33:31,365 --> 00:33:33,824
Uh, gives us a really great
foundation, uh, that we can fill in
682
00:33:33,824 --> 00:33:37,935
here again, um, before, uh, they have
no options for gourmet or artisan
683
00:33:37,935 --> 00:33:41,175
desserts that meet their standards
for quality and healthy ingredients.
684
00:33:41,175 --> 00:33:45,375
Or after the vaccin non-GMO macaroons that
use grassed butter and cage-free eggs.
685
00:33:45,764 --> 00:33:46,675
Uh, plus they're delicious.
686
00:33:47,820 --> 00:33:50,760
Before they feel frustrated, the lack
of healthy and high quality dessert
687
00:33:50,760 --> 00:33:55,050
options available to them after they feel
excited to have a bakery in town with
688
00:33:55,050 --> 00:33:58,679
gormet desserts that are good for the
planet and their health on average day.
689
00:33:58,679 --> 00:34:01,860
They're constantly busy and stressed
with limited times for indulging in
690
00:34:02,100 --> 00:34:06,689
luxury baked goods after they're enjoying
a daily small indulgence, uh, like a
691
00:34:06,929 --> 00:34:10,319
delicious macaroon, and it adds some
pleasure to the end of a busy day.
692
00:34:11,069 --> 00:34:13,830
In status, they're successful and
accomplished, but limiting their
693
00:34:13,830 --> 00:34:17,940
ability to enjoy luxury small
indulgences, uh, where after they're
694
00:34:17,940 --> 00:34:20,609
confident and empowered able to
indulge in gormet desserts that align
695
00:34:20,609 --> 00:34:22,020
with their values and priorities.
696
00:34:22,440 --> 00:34:25,049
Uh, and then again, the, the good
versus evil with the, the food
697
00:34:25,054 --> 00:34:28,649
industry, with preservatives and, uh,
additives and fillers that destroy
698
00:34:28,649 --> 00:34:32,460
our planet versus, uh, the daily small
indulgences that are good for the
699
00:34:32,460 --> 00:34:33,810
plan online with the health goals.
700
00:34:34,920 --> 00:34:39,765
Um, So that's kind of, now we've got
the top of that sheet filled out, right?
701
00:34:39,765 --> 00:34:43,155
We've got kind of those three middle
boxes, the two side boxes, and it
702
00:34:43,155 --> 00:34:46,755
kind of leaves us with just two more,
two more pieces to, to kind of round
703
00:34:46,760 --> 00:34:48,675
out our deal client profile, right?
704
00:34:49,650 --> 00:34:53,310
So step number five is gonna
be frustrations and fears.
705
00:34:53,489 --> 00:34:55,260
So frustration and fears.
706
00:34:55,679 --> 00:34:58,320
What you wanna ask yourself as we're
going through this and what we figure
707
00:34:58,320 --> 00:35:01,530
out is, you know, what keeps your
customers up at night, uh, and or
708
00:35:01,530 --> 00:35:03,510
what do they find most annoying?
709
00:35:04,380 --> 00:35:08,100
And so going back over to chat g b
t for the above customer, what may
710
00:35:08,100 --> 00:35:09,690
be their fears and frustrations.
711
00:35:09,840 --> 00:35:13,650
Um, and so based on customer demographics
and interest you provided, here are
712
00:35:13,650 --> 00:35:17,370
some potential fears and frustrations
your typical, uh, customer may have.
713
00:35:17,520 --> 00:35:20,925
Uh, and then what I did, Through here
was go in and edit and say which ones
714
00:35:20,925 --> 00:35:24,105
are important, aligned to our brand
and aligns to our ideal customer.
715
00:35:24,465 --> 00:35:26,145
Uh, so they limited
options that they have.
716
00:35:26,145 --> 00:35:30,345
We're providing a new option that is,
uh, healthy and clean for them to eat.
717
00:35:31,005 --> 00:35:32,685
Feeling guilty about indulging.
718
00:35:33,105 --> 00:35:36,615
Uh, your typical CU customer may
feel guilty, uh, or indulgent
719
00:35:36,615 --> 00:35:38,415
when eating desserts, especially
their health conscious.
720
00:35:38,895 --> 00:35:41,925
Uh, giving them that ability
to say, this is eating cleaner.
721
00:35:41,955 --> 00:35:43,365
You're able to enjoy a little bit.
722
00:35:43,605 --> 00:35:46,695
Uh, it's gonna help those busy
days feel a little bit easier,
723
00:35:46,845 --> 00:35:48,195
uh, without overindulging.
724
00:35:48,900 --> 00:35:52,020
Uh, and they're afraid that they might be
disappointed with the taste or quality.
725
00:35:52,470 --> 00:35:55,020
Uh, they might have been frustrated
with other desserts they'd tried.
726
00:35:55,020 --> 00:35:57,660
And so that what that might
inform for us is that we need
727
00:35:57,660 --> 00:35:58,830
to have more tasting events.
728
00:35:59,220 --> 00:36:02,220
Uh, we need to be out there and
showing people the, the high standards
729
00:36:02,225 --> 00:36:06,000
we have for, uh, our gourmet and
artisanal foods, or maybe it's
730
00:36:06,000 --> 00:36:07,480
social posts or videos that we make.
731
00:36:08,130 --> 00:36:11,490
Uh, talking about the, um,
talking about the process that
732
00:36:11,490 --> 00:36:12,900
we use to create these macaroons.
733
00:36:12,900 --> 00:36:15,090
And again, going back to the
content we're gonna create.
734
00:36:15,735 --> 00:36:19,275
In the coming weeks, this is really
important step to know, like if we
735
00:36:19,275 --> 00:36:23,595
believe that our ideal client, uh, has
a fear of being disappointed with the
736
00:36:23,595 --> 00:36:27,135
taster quality, then maybe what we need
to say is how do we pull that through
737
00:36:27,135 --> 00:36:31,635
into a short form video that we're gonna
put up on social, uh, or on YouTube to
738
00:36:31,635 --> 00:36:34,965
share how, what our process is, we're
gonna have feedback about the taste.
739
00:36:35,609 --> 00:36:38,310
We're gonna Sam or share the
different flavors that we have
740
00:36:38,310 --> 00:36:39,569
and the unique flavors we have.
741
00:36:40,170 --> 00:36:42,120
Um, and so we're left with here.
742
00:36:42,120 --> 00:36:46,560
And the frustrations and fears is, you
know, feeling guilty about indulging, um,
743
00:36:46,589 --> 00:36:48,420
cuz they're health and planet conscious.
744
00:36:48,480 --> 00:36:51,990
Uh, their fear of having disappointment
with the taste or quality.
745
00:36:52,380 --> 00:36:55,290
Uh, and they currently can't find a
treat that meets their dietary standards.
746
00:36:56,069 --> 00:37:00,120
And last but certainly not least, uh,
the opposite of frustrations and fears
747
00:37:00,120 --> 00:37:02,279
or what are their wants and aspirations.
748
00:37:02,985 --> 00:37:07,545
So looking over here at wants aspirations,
the question to ask is what do they
749
00:37:07,545 --> 00:37:10,275
desperately want and or aspire to be?
750
00:37:10,485 --> 00:37:12,885
That's the question that we
want to know we wanna solve for.
751
00:37:12,885 --> 00:37:16,305
So, Papa number chat, g p t for
the above customer, what may
752
00:37:16,305 --> 00:37:17,655
be their once in aspirations.
753
00:37:18,375 --> 00:37:23,085
Um, we got back again, another nice list
of about six answers here and editing
754
00:37:23,085 --> 00:37:24,585
through and, and looking at them.
755
00:37:24,915 --> 00:37:28,725
Um, so the ones that stood out here were,
you know, unique and interesting flavors.
756
00:37:29,115 --> 00:37:32,355
Uh, we know that's a piece that
aligns with our bakery, uh, and
757
00:37:32,355 --> 00:37:34,875
it's something that our ideal
customer would be excited about.
758
00:37:35,430 --> 00:37:38,940
Uh, a sense of in indulgent
indulgence, it's a luxury treat.
759
00:37:39,360 --> 00:37:42,029
Um, it is something that,
it's not an Oreo cookie.
760
00:37:42,300 --> 00:37:43,650
Uh, it's a little bit different than that.
761
00:37:43,650 --> 00:37:45,900
And so we like people that, you
know, like to have a sense of
762
00:37:45,900 --> 00:37:47,460
indulgent, even just a small bite.
763
00:37:47,759 --> 00:37:50,970
Uh, they want some, some luxury and,
and pleasure in their busy days.
764
00:37:51,570 --> 00:37:55,710
And again, the, the personalization and
customization, uh, having the custom
765
00:37:55,710 --> 00:37:57,990
guest boxes for, for special occasions.
766
00:37:57,990 --> 00:38:01,425
So, What do we summarize as
their wants and aspirations?
767
00:38:02,175 --> 00:38:05,085
So we wanna add some luxury and
pleasure back to their busy days.
768
00:38:05,175 --> 00:38:10,005
Uh, want access, uh, give them access to
unique and interesting flavors, uh, and
769
00:38:10,005 --> 00:38:14,025
give them the ability to have unique and
personalized gifts for special occasions.
770
00:38:14,715 --> 00:38:16,155
And that's through the entire sheet.
771
00:38:16,545 --> 00:38:17,685
Um, and that's really something that.
772
00:38:18,645 --> 00:38:20,265
You know, you can get through quickly.
773
00:38:20,325 --> 00:38:23,984
The process I showed you here would
allow you to take time and run through it
774
00:38:23,984 --> 00:38:25,154
really, really quickly and have it done.
775
00:38:25,544 --> 00:38:28,875
What I will say is, the more time you
spend on this, the harder you work
776
00:38:28,875 --> 00:38:32,955
on it, and the more you iterate and
perfect it over the coming days, weeks,
777
00:38:32,955 --> 00:38:35,145
months, the better it's going to get.
778
00:38:35,205 --> 00:38:37,424
But what we've have left here is.
779
00:38:38,355 --> 00:38:40,875
Our final sheet, and I'm not gonna go
through this, we went through all of
780
00:38:40,875 --> 00:38:45,855
it, uh, here together, but that's, we,
we have now, we have this foundational
781
00:38:45,855 --> 00:38:50,294
document, uh, that we're able to
use one throughout this accelerator.
782
00:38:50,294 --> 00:38:54,464
And two, anytime you're really creating,
whether it's AI generated copy or content,
783
00:38:54,464 --> 00:38:58,935
or it's human generated, uh, it gives you
a foundation of piece to look back to.
784
00:38:59,355 --> 00:39:02,504
Uh, we've got these internally
for a bunch of our different.
785
00:39:02,745 --> 00:39:07,245
Uh, for, for our different companies that
we go back to all the time to look at and
786
00:39:07,245 --> 00:39:10,845
really make sure that we're messaging to
the right ideal customer and pulling from.
787
00:39:11,895 --> 00:39:15,315
Because what we wanna be able to do
is take this information and infuse
788
00:39:15,315 --> 00:39:18,705
it into our prompting and really
take our prompting to the next level.
789
00:39:18,705 --> 00:39:23,595
We can be as generic as we want to be
with prompts, or we can be very specific
790
00:39:23,595 --> 00:39:27,465
with it, uh, and infuse it with the right
information, the right demographics,
791
00:39:27,465 --> 00:39:30,526
the right previous actions, the key
purchase drivers, what's their before and
792
00:39:30,531 --> 00:39:34,055
after, their frustration and fear there
wants some inspirations or aspirations.
793
00:39:34,904 --> 00:39:37,380
And we're able to infuse that
back in depending on the type of
794
00:39:37,384 --> 00:39:39,450
content that, uh, we wanna write.
795
00:39:39,450 --> 00:39:42,960
Now, obviously, we're not gonna just go
and copy and paste the a hundred percent
796
00:39:42,960 --> 00:39:46,860
of this for every prompt we do, but
what we're gonna gonna look at and say
797
00:39:46,865 --> 00:39:51,690
is, as we're creating those prompts or
writing those prompts, is what are the
798
00:39:51,694 --> 00:39:53,700
pieces of this ideal client profile?
799
00:39:54,319 --> 00:39:58,200
Uh, are the pieces that are
extremely relevant to this
800
00:39:58,200 --> 00:39:59,310
piece that we're generating.
801
00:40:00,509 --> 00:40:05,970
Um, and having this type of, of foundation
is what will make your use of AI stand
802
00:40:05,970 --> 00:40:07,920
out above other marketers out there.
803
00:40:08,700 --> 00:40:12,975
Um, so now kind of once you have this
initial document we wanna do, uh, is
804
00:40:12,975 --> 00:40:15,675
take what you know about your company
and the data points that you have
805
00:40:15,675 --> 00:40:19,755
and infuse even more de details, even
more specifics into this document.
806
00:40:20,205 --> 00:40:22,905
Um, write it in the tone of,
tone of voice of your customer.
807
00:40:22,910 --> 00:40:23,715
Look at stories.
808
00:40:23,715 --> 00:40:27,105
Are there analogies you can use, uh,
that better portray some of these
809
00:40:27,110 --> 00:40:29,565
feelings, um, and do that as well.
810
00:40:29,595 --> 00:40:31,545
So that's how we get through it.
811
00:40:31,845 --> 00:40:34,065
That's the ideal client
profiler step by step.
812
00:40:34,065 --> 00:40:36,975
And so what I wanted to do,
uh, was fumble exercise.
813
00:40:37,035 --> 00:40:40,785
I went and generated a couple different
examples, uh, that I wanna share with
814
00:40:40,790 --> 00:40:44,085
some, some bigger companies that y'all
mostly you should be familiar with.
815
00:40:44,445 --> 00:40:47,625
Um, and so we wanna walk through their
ideal client profiles to give you
816
00:40:47,625 --> 00:40:50,596
an idea of what this looks like in
practice and, and once they're done,
817
00:40:51,315 --> 00:40:53,085
and see if you can guess who they are.
818
00:40:53,475 --> 00:40:56,385
Um, and so let's go
through the examples here.
819
00:40:56,385 --> 00:40:58,725
So step, uh, the first one here.
820
00:40:59,145 --> 00:41:03,180
Uh, so for demographics
and interests, Um, this.
821
00:41:03,570 --> 00:41:07,260
Specific company, uh, their demographic
and interests are budget conscious
822
00:41:07,260 --> 00:41:11,250
travelers provide finding the best
value for their money, uh, their
823
00:41:11,255 --> 00:41:14,940
individuals traveling for domestic
business or, or leisure purposes.
824
00:41:15,060 --> 00:41:17,700
Uh, and they're interested in
convenient flight schedule and
825
00:41:17,700 --> 00:41:19,110
customer friendly policies.
826
00:41:19,650 --> 00:41:21,660
Uh, previous actions and purchases.
827
00:41:21,665 --> 00:41:25,470
Uh, they may have bought discount, hotel
rooms, rental cars, or vacation packages.
828
00:41:25,950 --> 00:41:28,170
Uh, they may have signed up
for a credit card that offers
829
00:41:28,170 --> 00:41:29,580
travel rewards or discounts.
830
00:41:29,820 --> 00:41:32,940
They've used price comparison
sites or apps to compare fees.
831
00:41:33,720 --> 00:41:37,560
I've reviewed customer reviews
and ratings to gauge airlines, uh,
832
00:41:37,590 --> 00:41:40,560
reputation for the key purchase drivers.
833
00:41:40,590 --> 00:41:43,410
Um, they're, look, they're
looking for affordable affairs.
834
00:41:43,415 --> 00:41:45,390
They provide them with the
best value for their money.
835
00:41:45,540 --> 00:41:48,780
Um, they're looking for flexibility
to change flights, uh, flight
836
00:41:48,780 --> 00:41:49,770
details with without a fee.
837
00:41:49,770 --> 00:41:51,910
They don't wanna have to pay
extra for checked luggage.
838
00:41:52,370 --> 00:41:55,350
Uh, and they want convenient
domestic flight route.
839
00:41:55,770 --> 00:41:59,130
I bet some of you already know exactly
what company this Senate could probably
840
00:41:59,130 --> 00:42:03,884
already guess, uh, from that information
alone, but, Let's go through it as well.
841
00:42:04,125 --> 00:42:08,654
Uh, frustrated by unexpected fees or
charges, uh, they're, they're, they're
842
00:42:08,654 --> 00:42:10,455
frustrated by unexpected fees or charges.
843
00:42:10,484 --> 00:42:14,234
Um, their fear air tra air travel can
be stressful with long lines security
844
00:42:14,234 --> 00:42:17,924
checks, uh, and they're frustrated by
poor customer service from airlines.
845
00:42:18,555 --> 00:42:21,464
What they want is to save money
on airfare without sacrificing
846
00:42:21,464 --> 00:42:22,855
convenience or reliability.
847
00:42:23,475 --> 00:42:26,055
They want an airline of friendly
and welcoming customer service.
848
00:42:26,325 --> 00:42:29,145
They want flexible flight schedules
and user friendly booking options.
849
00:42:30,075 --> 00:42:33,795
So we look at their before and after here
we've got, you know, before they have
850
00:42:33,795 --> 00:42:36,944
a desire for affordable travel options
in an airline that is flexible if they,
851
00:42:36,944 --> 00:42:40,455
you know, make changes after they have
access to convenient flight schedules,
852
00:42:40,455 --> 00:42:44,234
user-friendly booking options and
affordable affairs and discounts before
853
00:42:44,234 --> 00:42:47,535
they feel stressed and anxious with the
process of booking air travel and the
854
00:42:47,535 --> 00:42:51,855
potential for unexpected feeds, uh, after
they feel more at ease with air travel.
855
00:42:52,109 --> 00:42:53,880
Before their average day is their busy.
856
00:42:53,880 --> 00:42:56,310
They have a busy schedule with work,
family, and other responsibilities
857
00:42:56,310 --> 00:42:59,250
trying to, and they're trying to fit
travel planning into their already
858
00:42:59,250 --> 00:43:03,600
hectic day, where after they spend
less time researching parent flights,
859
00:43:03,600 --> 00:43:07,170
since they found a travel options
that meets all their needs status
860
00:43:07,174 --> 00:43:10,000
before, they have no sense of loyal
to any particular airline brand.
861
00:43:10,290 --> 00:43:11,400
They just want the best deal.
862
00:43:11,910 --> 00:43:15,180
Um, but after they're able to save
money and travel more fre frequently
863
00:43:15,180 --> 00:43:19,770
by and flying only one airline now,
um, they become brand evangelists.
864
00:43:20,310 --> 00:43:24,210
And good and evil before the airlines are
just profit machines out to take every
865
00:43:24,210 --> 00:43:26,970
dime they can on every fee or after.
866
00:43:27,029 --> 00:43:30,480
Uh, they believe air travel can
be fun, affordable, simple with
867
00:43:30,480 --> 00:43:32,430
transparent fares and fees.
868
00:43:32,520 --> 00:43:36,060
So do we have, uh, I'm guessing
we have any guesses out there,
869
00:43:36,060 --> 00:43:37,920
Celia, Michelle, or Mark?
870
00:43:37,920 --> 00:43:40,319
What do you guys, I can't
see the chat in front of me.
871
00:43:40,319 --> 00:43:41,910
So do we have any guesses?
872
00:43:42,509 --> 00:43:43,890
We have a lot of Southwest.
873
00:43:44,549 --> 00:43:44,970
Mm-hmm.
874
00:43:45,930 --> 00:43:47,130
I figured y'all would get that one.
875
00:43:47,700 --> 00:43:48,690
That was a pretty easy one.
876
00:43:48,690 --> 00:43:51,930
So, but yeah, I mean, what what's
interesting about this is at the end of
877
00:43:51,930 --> 00:43:56,880
the day, you know, we've got everything
here that talks about an airline and.
878
00:43:57,330 --> 00:44:00,720
What it is, there's unique pieces
throughout here that you instantly
879
00:44:00,720 --> 00:44:04,050
thought of Southwest, and that's what's
so important about these ideal client
880
00:44:04,050 --> 00:44:08,280
profilers, is that we're able to say
who is the ideal client that aligns to
881
00:44:08,280 --> 00:44:13,200
our, that aligns to our core company and
who we believe and who we best serve.
882
00:44:13,200 --> 00:44:16,610
And now we use that core
message to spread throughout on
883
00:44:16,830 --> 00:44:18,030
all the messaging that we do.
884
00:44:18,030 --> 00:44:21,180
And so people automatically, I
mean, I probably only had to make
885
00:44:21,180 --> 00:44:23,910
three or four of these points for
some of you to trigger Southwest.
886
00:44:24,450 --> 00:44:26,190
It's because they've used this type of.
887
00:44:26,820 --> 00:44:31,080
Core messaging throughout what they do to
hit on the points that make them unique
888
00:44:31,080 --> 00:44:33,000
and really resonate with their customers.
889
00:44:33,750 --> 00:44:37,440
So one more quick one, uh, I bet
you a lotti you will, uh, we'll
890
00:44:37,440 --> 00:44:38,790
get this pretty quickly as well.
891
00:44:39,629 --> 00:44:42,990
So, uh, demographics, interest,
tech savvy individuals who
892
00:44:43,169 --> 00:44:44,490
value high quality products.
893
00:44:44,759 --> 00:44:48,089
Consumers have prioritized design and
aesthetics in their purchasing decisions.
894
00:44:48,390 --> 00:44:51,660
Um, they're interested in high-end
design and premium materials, and
895
00:44:51,660 --> 00:44:54,960
they want streamline user experiences
and inter intuitive interfaces.
896
00:44:55,529 --> 00:44:59,490
Uh, previous actions and purchases include
high-end fashion items or luxury watches.
897
00:44:59,895 --> 00:45:03,345
Hi and electronics in the past, such
as smartphones, laptops, or cameras.
898
00:45:03,674 --> 00:45:07,754
Um, they've read reviews, compared
specifications, uh, tried out different
899
00:45:07,754 --> 00:45:11,504
products in store, and they've probably
even visited one of the brand's, retail
900
00:45:11,504 --> 00:45:13,935
stores, their key purchase drivers.
901
00:45:14,294 --> 00:45:17,834
Uh, technology is in, into intuitive,
easy to use and that seamlessly
902
00:45:17,839 --> 00:45:18,595
integrates into their lives.
903
00:45:19,185 --> 00:45:21,765
Technology is reliable, durable,
and that will last for years.
904
00:45:22,095 --> 00:45:25,035
And they're drawn to products based
on their style and aesthetics.
905
00:45:25,875 --> 00:45:29,084
Uh, they're frustrated by the learning
curve required to use new devices.
906
00:45:29,445 --> 00:45:31,965
Uh, they frus, they're frustrated
if they need to purchase new devices
907
00:45:31,965 --> 00:45:33,495
to make everything work together.
908
00:45:33,795 --> 00:45:37,095
Uh, but they also have a fear of being
too dependent on one company or service
909
00:45:37,845 --> 00:45:40,725
their wants and as aspirations, they
wanna own the latest and greatest to
910
00:45:40,725 --> 00:45:42,825
show off their taste and sophistication.
911
00:45:43,215 --> 00:45:45,975
They wanna own products that are not
only functional, but also stylish.
912
00:45:46,515 --> 00:45:49,215
Uh, and they want technology
that simplifies their lives.
913
00:45:50,025 --> 00:45:51,705
Remove before and after before.
914
00:45:52,005 --> 00:45:56,535
Um, they're ha they're, uh, they've
less intuit and less aste, aesthetically
915
00:45:56,565 --> 00:46:00,555
pleasing technology after they have
a sleek, modern, easy product that
916
00:46:00,555 --> 00:46:04,305
integrates seamlessly, but, um, before
they feel like they're missing out on
917
00:46:04,310 --> 00:46:05,685
the latest and greatest technology.
918
00:46:05,690 --> 00:46:09,155
After feel the forefront of technology
and product of community individuals who
919
00:46:09,405 --> 00:46:13,245
value high quality products and design
their average day before looked like
920
00:46:13,245 --> 00:46:17,025
juggling multiple devices that do not
sink, seem, uh, seamlessly, and feeling
921
00:46:17,030 --> 00:46:19,065
frustrated by slow speeds or glitches.
922
00:46:19,455 --> 00:46:22,154
After their average day, they're
able to complete more tasks quickly
923
00:46:22,154 --> 00:46:25,995
and efficiently and may feel more
productive and organized in their
924
00:46:25,995 --> 00:46:29,625
status before they're not keeping up
with their peers who own more advanced
925
00:46:29,625 --> 00:46:34,125
and stylish devices after they feel
o extensive prestige and and status
926
00:46:34,125 --> 00:46:35,834
from owning high-end stylish products.
927
00:46:36,315 --> 00:46:38,865
Before, uh, good versus evil.
928
00:46:38,865 --> 00:46:42,465
The technology devices out there
don't express my creativity and style.
929
00:46:42,465 --> 00:46:43,695
They all look so boring.
930
00:46:44,025 --> 00:46:47,235
Uh, after I'm able to balance my
creativity and style with high
931
00:46:47,235 --> 00:46:49,185
powered technology that fits my needs.
932
00:46:49,425 --> 00:46:52,185
Um, do we have any
guesses out there, mark?
933
00:46:53,205 --> 00:46:53,895
We have a couple.
934
00:46:53,895 --> 00:46:54,525
We have Apple.
935
00:46:55,500 --> 00:46:56,040
And pair.
936
00:46:56,100 --> 00:46:56,520
Yep.
937
00:46:57,330 --> 00:46:57,780
Yep.
938
00:46:57,840 --> 00:46:58,320
Apple.
939
00:46:58,750 --> 00:47:02,460
So, and that's the thing is, is what
you can do is take completely, take out
940
00:47:02,460 --> 00:47:05,790
the name of the company and, and fine
tune and, and exactly know who that is.
941
00:47:05,790 --> 00:47:07,950
And that's the power of this tool.
942
00:47:07,980 --> 00:47:08,490
Right?
943
00:47:08,580 --> 00:47:11,640
And so, I know this, this is something
where we're not going through and
944
00:47:11,640 --> 00:47:15,570
doing the, the highest, latest
and greatest, uh, ai, you know.
945
00:47:15,720 --> 00:47:18,180
Tips and tricks and strategies
and all that kind of stuff.
946
00:47:18,180 --> 00:47:20,399
That's what we're getting to in
the coming, in the coming weeks.
947
00:47:20,399 --> 00:47:23,790
We're gonna have a ton of that, and
we've got tons and tons of amazing
948
00:47:23,790 --> 00:47:26,910
sessions that are coming up that
are gonna give you all of that.
949
00:47:26,910 --> 00:47:29,700
But at the end of the day, the point
here is the AI powered marketer
950
00:47:29,939 --> 00:47:34,049
uses powerful inputs to enrich
their standard outputs that attract
951
00:47:34,109 --> 00:47:35,759
and convert their ideal customers.
952
00:47:36,450 --> 00:47:38,580
At the end of the day, we wanna make sure.
953
00:47:38,600 --> 00:47:42,230
That we are using the most powerful
inputs we can to enrich the standard
954
00:47:42,230 --> 00:47:45,680
outputs to attract and convert
their, our ideal CU customers.
955
00:47:45,680 --> 00:47:46,160
Right?
956
00:47:46,310 --> 00:47:49,370
And the way we do that is starting
with the foundational piece that's
957
00:47:49,370 --> 00:47:53,450
gonna enrich our prompts, is going to
allow us to get out of the AI tools,
958
00:47:53,690 --> 00:47:57,171
uh, better information to start with
that is gonna allow us to use that
959
00:47:57,650 --> 00:48:01,940
leverage, that speed of AI and the speed
of automation to put out better and
960
00:48:01,940 --> 00:48:05,810
better and better marketing collateral,
the better we get with our inputs.
961
00:48:05,930 --> 00:48:10,180
So that being said, Got a few
action items for you guys here.
962
00:48:10,210 --> 00:48:14,710
So, action item, uh, number
one, gather data points.
963
00:48:15,040 --> 00:48:16,180
See what you can find out there.
964
00:48:16,180 --> 00:48:18,310
What do you have from
customer surveys you've done?
965
00:48:18,580 --> 00:48:21,850
Uh, what can you look at in social
from posts that you've made, ones that
966
00:48:21,855 --> 00:48:23,470
have done really well and stood out.
967
00:48:23,770 --> 00:48:26,460
Uh, what are some of the trends you see
looking at your Google Analytics data,
968
00:48:26,740 --> 00:48:29,950
the people that are coming through,
looking at your crm, the list pulling
969
00:48:29,950 --> 00:48:31,960
your top five to 10% of customers.
970
00:48:31,960 --> 00:48:34,660
Who are those ideal people
and what makes them.
971
00:48:35,355 --> 00:48:37,395
Unique and what makes them stand out.
972
00:48:37,395 --> 00:48:38,565
So you're able to do this.
973
00:48:39,225 --> 00:48:42,315
Um, number two, build
your ideal client profile.
974
00:48:42,435 --> 00:48:46,455
Um, you know, really what we're asking
to do here is do the hard work upfront
975
00:48:46,455 --> 00:48:52,005
so that you can leverage the speed of a
AI to enrich, um, with the specificity to
976
00:48:52,005 --> 00:48:54,015
match your company and your ideal client.
977
00:48:54,020 --> 00:48:55,275
That's what we want to do here.
978
00:48:56,115 --> 00:48:59,955
And then for those overachievers
out here, uh, extra credit will
979
00:48:59,955 --> 00:49:01,905
be interview 10 ideal customers.
980
00:49:02,055 --> 00:49:04,755
I know as marketers, many of
us are inverse and hate the
981
00:49:04,755 --> 00:49:06,135
idea of interviewing customers.
982
00:49:06,435 --> 00:49:09,255
Uh, but it's gonna give you so
much information and ability
983
00:49:09,255 --> 00:49:11,355
to truly understand your
customer and that much better.
984
00:49:11,565 --> 00:49:14,685
Again, the better you can understand
your ideal customer, the better your
985
00:49:14,685 --> 00:49:18,255
messaging is gonna be, the better your
outputs in AI are gonna be, and the
986
00:49:18,255 --> 00:49:21,945
better chances you ha you're gonna have of
attracting and converting more customers.
987
00:49:21,950 --> 00:49:24,015
Cause at the end of the day,
that is what we all want.
988
00:49:24,595 --> 00:49:26,154
Um, so those are my action items for you.
989
00:49:26,580 --> 00:49:29,279
I'd love to hear if any of you guys
actually, uh, choose to take the
990
00:49:29,279 --> 00:49:31,170
step to interview 10 ideal customers.
991
00:49:31,230 --> 00:49:32,730
Uh, how that goes for you.
992
00:49:32,819 --> 00:49:36,150
Uh, I've challenged a few people,
uh, in the past few months here
993
00:49:36,150 --> 00:49:37,500
to do that for their businesses.
994
00:49:37,500 --> 00:49:42,450
And what it has done has been mind blowing
for understanding truly who their ideal
995
00:49:42,450 --> 00:49:45,500
customer is, who they thought their
ideal customer is, and what they wanted.
996
00:49:46,325 --> 00:49:49,055
Versus who they actually were
was completely different when
997
00:49:49,055 --> 00:49:51,484
they had those interviews and
had those real conversations.
998
00:49:51,484 --> 00:49:54,995
So, uh, any, any of those you that, I
bet you there's plenty of view in there.
999
00:49:55,205 --> 00:49:58,294
I see the chat lighting up that probably
have already done this or something
1000
00:49:58,294 --> 00:50:02,345
similar, but, uh, for those of you who
haven't, it's a great, great way to do it.
1001
00:50:02,375 --> 00:50:07,654
So, uh, with that being said, I
will take any questions that we got.
1002
00:50:08,984 --> 00:50:09,615
All right.
1003
00:50:09,615 --> 00:50:11,325
Let's go ahead and start with Sabrina.
1004
00:50:11,415 --> 00:50:15,795
We have, uh, did you Ed, educate,
educate Chad g p t with the steps
1005
00:50:15,795 --> 00:50:19,665
of your before, after statements
to obtain this type of result?
1006
00:50:19,694 --> 00:50:22,545
Uh, I had to detail
all the steps I needed.
1007
00:50:24,390 --> 00:50:27,450
So, yeah, sometimes you do and
sometimes you don't have to.
1008
00:50:27,450 --> 00:50:31,170
It is a little tricky because I
had done this, um, throughout and
1009
00:50:31,170 --> 00:50:34,259
giving it information before I
didn't have to in that use case.
1010
00:50:34,265 --> 00:50:37,290
But what you can do is actually
going to be very specific,
1011
00:50:37,650 --> 00:50:39,089
uh, about those questions.
1012
00:50:39,095 --> 00:50:42,470
For instance, being able to say like
customer answer, following questions.
1013
00:50:42,470 --> 00:50:44,970
What do they have in the before state?
1014
00:50:44,970 --> 00:50:46,109
What do they have in the after state?
1015
00:50:46,109 --> 00:50:47,339
How do they feel in the before state?
1016
00:50:47,339 --> 00:50:48,540
How do they feel in the after state?
1017
00:50:49,425 --> 00:50:53,085
You may, may find that you need to go step
by step, but the nice thing is because
1018
00:50:53,085 --> 00:50:56,205
of the information that's out there and
the amount of data points, the AI does
1019
00:50:56,205 --> 00:50:58,785
understand what before and after is.
1020
00:50:58,905 --> 00:51:02,685
They understand it understands what that
framework is and what that foundation is.
1021
00:51:02,690 --> 00:51:04,996
So sometimes you need to
fuel it a little bit more.
1022
00:51:05,605 --> 00:51:11,835
Um, And get some specifics like here,
I'll just drop a copy and paste into, um,
1023
00:51:11,955 --> 00:51:15,105
the chat here is, you know, sometimes you
might need to break it out a little bit
1024
00:51:15,110 --> 00:51:17,445
further and be ultra specific with it.
1025
00:51:17,505 --> 00:51:20,145
Um, and if you do, there's a
quick and easy way to do it.
1026
00:51:20,535 --> 00:51:24,975
Um, but yeah, so it, it really
fortunate the answer is it depends.
1027
00:51:25,245 --> 00:51:28,425
Um, but if you do need to, to
get better results, just being
1028
00:51:28,425 --> 00:51:31,635
a little more prescriptive, uh,
and specific with it is great.
1029
00:51:33,645 --> 00:51:34,155
Excellent.
1030
00:51:35,175 --> 00:51:35,625
All right.
1031
00:51:35,625 --> 00:51:38,565
We also have, do you see any
difference between using Jasper
1032
00:51:38,565 --> 00:51:40,455
chat and chat G P T for this?
1033
00:51:40,515 --> 00:51:44,325
I like how chat G P T saves conversations,
which I don't think Jasper does.
1034
00:51:44,325 --> 00:51:45,195
What are your thoughts?
1035
00:51:46,515 --> 00:51:48,915
Yeah, I think, I think it's great.
1036
00:51:48,915 --> 00:51:49,814
They're both great tools.
1037
00:51:49,814 --> 00:51:55,785
You know, uh, Jasper's chat function is
still kind of in beta, um, version, so
1038
00:51:55,785 --> 00:52:00,285
they don't really have the, uh, or at
least that I've found, I'd say absolutes.
1039
00:52:00,285 --> 00:52:03,555
But what I've found is they don't have
the ability to start different chats.
1040
00:52:03,825 --> 00:52:07,214
Um, so you are having to feel it
with a lot more informational at the
1041
00:52:07,214 --> 00:52:11,375
beginning to make sure that thread
you're pulling through, uh, is, is
1042
00:52:11,685 --> 00:52:15,570
um, actually, Related to that customer
that you're trying to figure out.
1043
00:52:15,840 --> 00:52:20,220
Um, so in this use case, chat, chat, G
p t to me, uh, has a little bit more.
1044
00:52:20,895 --> 00:52:24,015
Opportunity there because you're
able to actually have different
1045
00:52:24,015 --> 00:52:26,415
chats and make sure you're
starting with more of a fresh chat.
1046
00:52:26,655 --> 00:52:29,355
You don't have any information there
that might be biasing some of the
1047
00:52:29,355 --> 00:52:32,175
results that you're getting when
you're, when you're making your queries.
1048
00:52:32,175 --> 00:52:36,675
So my guess will be that as Jasper
chat goes from beta to an actual rolled
1049
00:52:36,680 --> 00:52:37,726
out product, they will have that.
1050
00:52:38,430 --> 00:52:42,990
And what you can do is you can clear your
chat, uh, in, in Jasper if you want to,
1051
00:52:42,990 --> 00:52:47,280
just don't have the then going back and,
and being able to access the save piece.
1052
00:52:47,280 --> 00:52:50,940
The nice thing on the Jasper chat
though, I will say is you are unable
1053
00:52:50,940 --> 00:52:54,900
to include Google search data, uh, and
you can try querying with and without
1054
00:52:54,900 --> 00:52:56,100
it to see the answers you're getting.
1055
00:52:56,105 --> 00:53:00,810
So again, it's go, you're going back and
forth between features and, and there,
1056
00:53:00,810 --> 00:53:02,460
and what's kind of more important.
1057
00:53:02,895 --> 00:53:04,215
What I'd say is takes.
1058
00:53:04,275 --> 00:53:06,015
It doesn't take time, but I'll do both.
1059
00:53:06,285 --> 00:53:07,095
See what the results are.
1060
00:53:07,095 --> 00:53:09,975
Come back and, and compare what
you're seeing cuz the time to
1061
00:53:09,975 --> 00:53:11,505
get the results are so minimal.
1062
00:53:11,805 --> 00:53:14,145
Uh, and this is such an
important piece that I, I would
1063
00:53:14,145 --> 00:53:15,495
use if you got it, use both.
1064
00:53:16,770 --> 00:53:17,280
That's awesome.
1065
00:53:17,550 --> 00:53:19,020
Actually, that's, that's
a great answer too.
1066
00:53:19,050 --> 00:53:22,320
Cause I think one of the things we do
as marketers is look for tools that
1067
00:53:22,320 --> 00:53:26,520
do everything all at once and have all
these capabilities, whereas, uh, you
1068
00:53:26,520 --> 00:53:31,780
know, the AI tools we're using just go
as simple as possible and just, and it,
1069
00:53:31,785 --> 00:53:35,220
it works so fast that you could do both
and it, it really doesn't take that much
1070
00:53:35,220 --> 00:53:36,810
more time, especially compared to what.
1071
00:53:37,265 --> 00:53:38,555
You would've had to do with Google.
1072
00:53:38,584 --> 00:53:39,814
So, yeah.
1073
00:53:39,875 --> 00:53:41,044
Uh, that's a great answer.
1074
00:53:41,794 --> 00:53:44,674
Uh, all right, from Kevin, I've
been experimenting with ways to
1075
00:53:44,674 --> 00:53:48,424
have chat G p t reference content
that is beyond the training data.
1076
00:53:48,814 --> 00:53:52,325
For example, I was able to get to
review a big data set in Google Sheets.
1077
00:53:52,325 --> 00:53:53,584
Are there other ways to do this?
1078
00:53:56,430 --> 00:53:57,870
Not that I've found yet.
1079
00:53:57,870 --> 00:54:00,810
I mean, I know there's some ways
that you can actually kind of create
1080
00:54:00,810 --> 00:54:06,210
basically your own interface, um,
of querying the, the G P T three
1081
00:54:06,240 --> 00:54:10,200
basically database and, and overlay
it and, and connect with API there.
1082
00:54:10,200 --> 00:54:13,320
In terms of other ways to do
it within chat G B T itself,
1083
00:54:13,350 --> 00:54:14,550
I haven't explored anything.
1084
00:54:14,555 --> 00:54:19,950
Mark, have you done anything with external
data sets, uh, on G B T specifically?
1085
00:54:20,880 --> 00:54:24,340
Now I'll usually go to
a different AI for that.
1086
00:54:24,400 --> 00:54:24,820
Mm-hmm.
1087
00:54:24,960 --> 00:54:28,890
For me, I, I actually like how chat g
p t is limited, uh, because it doesn't,
1088
00:54:29,070 --> 00:54:32,790
you know, flood with a bunch of extra
data when most of the time you're just
1089
00:54:32,795 --> 00:54:34,050
going on there for simple answers.
1090
00:54:34,490 --> 00:54:34,780
Yeah.
1091
00:54:35,340 --> 00:54:35,730
Yep.
1092
00:54:38,070 --> 00:54:44,250
Uh, actually there's one specifically for,
um, what's call it, uh, research reports.
1093
00:54:44,310 --> 00:54:46,950
And I found that was super
helpful because all it did was
1094
00:54:46,955 --> 00:54:49,470
search research papers and that.
1095
00:54:49,830 --> 00:54:51,990
Is what you need a lot of the time.
1096
00:54:52,560 --> 00:54:55,800
So put in mind, elicit, elicit ai.
1097
00:54:56,910 --> 00:54:58,890
I'll put it in the chat or no, I'm sorry.
1098
00:54:58,890 --> 00:54:59,010
Great.
1099
00:54:59,010 --> 00:54:59,520
Dot org.
1100
00:55:03,660 --> 00:55:04,290
All right.
1101
00:55:04,540 --> 00:55:04,760
Org.
1102
00:55:05,100 --> 00:55:05,370
Awesome.
1103
00:55:06,870 --> 00:55:07,890
Uh, let's see.
1104
00:55:07,920 --> 00:55:09,750
Shamus says, great.
1105
00:55:09,750 --> 00:55:10,110
Thank you.
1106
00:55:12,060 --> 00:55:15,210
Oh, I don't want to have to replay,
transcribe these sessions to get the text.
1107
00:55:15,210 --> 00:55:15,930
I need to type.
1108
00:55:17,010 --> 00:55:17,580
Thanks, Janice.
1109
00:55:18,900 --> 00:55:20,910
Uh, we something out.
1110
00:55:20,910 --> 00:55:23,580
We'll, um, we've got the prompting.
1111
00:55:23,580 --> 00:55:26,879
Um, Uh, sheet that I shared.
1112
00:55:26,879 --> 00:55:29,790
So we'll make sure, I think most, most
of these chart already be on there,
1113
00:55:29,790 --> 00:55:34,229
but if not, we'll make sure to, uh,
to make sure these are on that sheet.
1114
00:55:34,229 --> 00:55:37,859
So if you guys missed that on Thursday,
it should be in the members area, but
1115
00:55:37,859 --> 00:55:40,620
it's just digital marketer.com/prompts.
1116
00:55:41,009 --> 00:55:44,279
Um, and so I'll double check once we get
off here and, and make sure if they're
1117
00:55:44,279 --> 00:55:48,540
not, I don't see them on there, um,
then I will make sure that they are,
1118
00:55:48,779 --> 00:55:52,169
uh, added on there, uh, so that you
can just copy and paste 'em from there.
1119
00:55:53,879 --> 00:55:57,180
Yeah, whatever possible, what we'll do
is try to, to extract the prompts that
1120
00:55:57,180 --> 00:55:58,649
we actually use within the sessions.
1121
00:55:58,649 --> 00:56:01,920
That way you guys don't have to search
through a bunch of prompts and just
1122
00:56:01,920 --> 00:56:03,569
give you a, a simple sheet with those.
1123
00:56:04,410 --> 00:56:04,529
Mm-hmm.
1124
00:56:05,069 --> 00:56:06,690
Uh, all right.
1125
00:56:06,690 --> 00:56:07,290
Let's see.
1126
00:56:07,290 --> 00:56:10,500
Steve says, how do you propose
getting an interview with a
1127
00:56:10,500 --> 00:56:12,129
busy, ideal C-Suite client?
1128
00:56:12,430 --> 00:56:16,230
If we're a brand new business,
i e can't contact an existing
1129
00:56:16,230 --> 00:56:17,490
client who knows and trusts us.
1130
00:56:19,080 --> 00:56:21,750
Yeah, and that type of situation
where if you don't have those people
1131
00:56:21,750 --> 00:56:25,920
that you're able to, to contact then,
then obviously getting the customer
1132
00:56:25,920 --> 00:56:27,960
interviews, uh, would be tough.
1133
00:56:27,960 --> 00:56:28,920
I, I totally get that.
1134
00:56:28,920 --> 00:56:32,310
And that might be something where right
now it's focusing on how do we kind of
1135
00:56:32,310 --> 00:56:34,470
serve and sell those first 10 customers.
1136
00:56:34,830 --> 00:56:38,400
Um, and, and you know, as part of that,
maybe you make them a, a sweet deal
1137
00:56:38,400 --> 00:56:42,029
as they're onboarding that if they're
willing to share back their feedback and.
1138
00:56:42,230 --> 00:56:46,279
You know, after 90 days or so of, of
using the product or service, um, that
1139
00:56:46,279 --> 00:56:47,840
you'll do something extra cool for them.
1140
00:56:48,140 --> 00:56:49,819
Uh, so you're able to
get that information.
1141
00:56:49,819 --> 00:56:52,069
But, but in that case, yeah, I mean,
obviously if you don't have the
1142
00:56:52,069 --> 00:56:56,879
customers that you're able to reach
out to, then, um, Then the customer
1143
00:56:56,879 --> 00:56:58,049
interviews there would not work.
1144
00:56:58,350 --> 00:57:02,040
Um, that gets a little bit tricky,
but from that case then I would really
1145
00:57:02,040 --> 00:57:05,459
look at doing a lot of market market
research and understanding what's out
1146
00:57:05,459 --> 00:57:06,870
there and trying to pull what you can.
1147
00:57:07,230 --> 00:57:10,140
Even going in and looking, you
know, a lot of, another great way
1148
00:57:10,140 --> 00:57:12,410
to get a lot of this information, I.
1149
00:57:12,460 --> 00:57:13,870
Is it's a little bit more hard work.
1150
00:57:13,870 --> 00:57:15,430
I wanted to show you
like the easy work way.
1151
00:57:15,700 --> 00:57:19,720
Um, but if you want specific stuff, uh,
that people are saying is go look at
1152
00:57:19,720 --> 00:57:23,950
forums, go look at, uh, groups that people
are in, whether it's Facebook groups.
1153
00:57:23,955 --> 00:57:25,120
Go look at Reddit threads.
1154
00:57:25,120 --> 00:57:28,360
Go look at, um, other places where
these people are hanging out and
1155
00:57:28,360 --> 00:57:31,299
see what they're saying in their own
words and not just from the posts.
1156
00:57:31,360 --> 00:57:34,420
Some of the best stuff he'll
find, uh, is in the comments.
1157
00:57:34,720 --> 00:57:37,330
So I know a lot of times when
we're doing research, especially
1158
00:57:37,330 --> 00:57:38,770
on new products, we're rolling out.
1159
00:57:39,040 --> 00:57:42,610
Um, there's some great Reddit threads
that I'll go into and look at and see
1160
00:57:42,759 --> 00:57:46,150
topics that are related to something
we might be rolling out and look at
1161
00:57:46,150 --> 00:57:49,240
the comments and seeing what's being
said and understanding in our, in our
1162
00:57:49,240 --> 00:57:51,040
customer's voice, what are they saying?
1163
00:57:51,040 --> 00:57:51,910
How are they saying it?
1164
00:57:51,970 --> 00:57:54,009
What are they feeling,
what are they experiencing?
1165
00:57:54,370 --> 00:57:57,549
Uh, and you can get a lot, a
lot of great information about
1166
00:57:57,549 --> 00:58:00,100
your potential customers there.
1167
00:58:00,130 --> 00:58:02,680
Uh, and understanding how to message
them, the pains they're feeling.
1168
00:58:04,020 --> 00:58:04,440
Awesome.
1169
00:58:04,530 --> 00:58:06,600
I don't know if you mentioned
this, but I also suggest going
1170
00:58:06,600 --> 00:58:08,490
to reviews for your competitors.
1171
00:58:08,490 --> 00:58:08,580
Mm-hmm.
1172
00:58:08,700 --> 00:58:12,540
Uh, because a lot of times your
competitors have the exact same product
1173
00:58:12,545 --> 00:58:17,010
and you'll get both bad and good reviews
and then you can see everything's great.
1174
00:58:17,040 --> 00:58:18,810
Cheap, uh, alright.
1175
00:58:18,810 --> 00:58:19,050
Right.
1176
00:58:19,050 --> 00:58:21,450
Nds Jasper versus Right Sonic.
1177
00:58:22,330 --> 00:58:22,410
Hmm.
1178
00:58:22,890 --> 00:58:26,010
I, um, I frankly have
not done much with Right.
1179
00:58:26,010 --> 00:58:29,610
Sonic, I'm saying these tools are
coming out left and right, so I
1180
00:58:29,610 --> 00:58:30,420
don't know the answer to that.
1181
00:58:30,420 --> 00:58:31,800
Mark, have you done
anything with Right Sonic?
1182
00:58:32,280 --> 00:58:34,770
I have that's, I've never
even heard of Bright Sonic.
1183
00:58:35,490 --> 00:58:36,030
Oh, wait, no.
1184
00:58:36,035 --> 00:58:38,370
Anybody, anybody here done
anything with Bright Sonic?
1185
00:58:39,150 --> 00:58:44,010
Outside of, uh, nd I don't know your name
there, but, um, yeah, that's the thing
1186
00:58:44,010 --> 00:58:48,360
that's, that's crazy as these tools are
coming out all the time, uh, and, and
1187
00:58:48,365 --> 00:58:51,150
becoming, uh, featured all the time.
1188
00:58:51,155 --> 00:58:52,200
So that's an interesting one.
1189
00:58:52,200 --> 00:58:54,180
It's definitely worth
taking, taking a look at it.
1190
00:58:54,180 --> 00:58:55,800
And so let's get into today.
1191
00:58:56,060 --> 00:59:00,570
So, uh, as I mentioned, what we're
gonna be sharing is defining your ideal.
1192
00:59:00,805 --> 00:59:01,495
Compliant.
1193
00:59:01,855 --> 00:59:06,145
Um, and so why is this important and, and
really why are we talking about this kind
1194
00:59:06,145 --> 00:59:08,605
of at the outset of this, this AI program?
1195
00:59:08,610 --> 00:59:11,605
In the coming weeks, we're gonna
get really tactical with a lot of
1196
00:59:11,610 --> 00:59:14,125
different tools, a lot of different
strategies, a lot of different
1197
00:59:14,130 --> 00:59:15,445
prompts and what you can do.
1198
00:59:15,450 --> 00:59:16,205
So I.
1199
00:59:16,205 --> 00:59:19,600
Really, you know, my purpose here
on Thursday and today was to set
1200
00:59:19,600 --> 00:59:22,930
an overarching framework that
gives us some guardrails as we
1201
00:59:22,930 --> 00:59:24,850
head into the next, uh, few weeks.
1202
00:59:24,850 --> 00:59:27,940
There's gonna be a lot of opportunities,
a lot of new ideas, a lot of things that
1203
00:59:27,945 --> 00:59:31,720
are shared with you to try, but we found
most successful, especially with new tools
1204
00:59:31,725 --> 00:59:35,110
and new technologies, when you have at
least some sort of, of framework or some
1205
00:59:35,110 --> 00:59:39,430
guardrails around you as you're exploring,
uh, with them, that really sets the tone
1206
00:59:39,430 --> 00:59:41,020
and sets the frame for what you're doing.
1207
00:59:41,020 --> 00:59:46,025
And so, That is what, uh, we want to
go ahead and have, uh, for you today.
1208
00:59:46,055 --> 00:59:49,745
So what is defining your ideal
client, uh, really overcome?
1209
00:59:49,745 --> 00:59:52,685
So there's a few problems that,
that we use this tool, uh, to
1210
00:59:52,685 --> 00:59:57,095
really overcome, uh, and focus in
on the first one being confusion.
1211
00:59:57,895 --> 00:59:59,068
Um, if you think.
110582
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