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These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:01,830 Let's get into today. 2 00:00:01,830 --> 00:00:04,410 So, uh, as I mentioned, what we're gonna be sharing is 3 00:00:04,410 --> 00:00:07,050 defining your ideal appliance. 4 00:00:07,530 --> 00:00:11,850 Um, and so why is this important and, and really why are we talking about this kind 5 00:00:11,855 --> 00:00:14,280 of at the outset of this, this AI program. 6 00:00:14,310 --> 00:00:16,470 In the coming weeks, we're gonna get really tactical. 7 00:00:16,825 --> 00:00:19,555 With a lot of different tools, a lot of different strategies, a lot of 8 00:00:19,555 --> 00:00:21,145 different prompts, and what you can do. 9 00:00:21,150 --> 00:00:25,075 So really, you know, my purpose here on Thursday and today was to 10 00:00:25,075 --> 00:00:28,615 set an overarching framework that gives us some guardrails as we 11 00:00:28,615 --> 00:00:30,505 head into the next, uh, few weeks. 12 00:00:30,505 --> 00:00:32,545 There's gonna be a lot of opportunities, a lot of new ideas. 13 00:00:32,905 --> 00:00:35,965 A lot of things that are shared with you to try, but what we found most 14 00:00:35,965 --> 00:00:38,935 successful, especially with new tools and new technologies, when you have at 15 00:00:38,935 --> 00:00:42,955 least some sort of, of framework or some guardrails around you as you're exploring, 16 00:00:43,285 --> 00:00:46,735 uh, with them, that really sets the tone and sets the frame for what you're doing. 17 00:00:46,735 --> 00:00:51,305 And so that is what, uh, we want to go ahead and have, uh, for you today. 18 00:00:51,525 --> 00:00:55,465 So what does defining your ideal client, uh, really overcome? 19 00:00:55,465 --> 00:00:58,765 So there's a few problems that, that we use this tool, uh, to really 20 00:00:58,765 --> 00:01:01,165 overcome, uh, and focus in on. 21 00:01:01,605 --> 00:01:02,835 The first one being confusion. 22 00:01:03,630 --> 00:01:06,330 Um, if you think about it, especially if you're in a business that's been 23 00:01:06,330 --> 00:01:09,390 around for a while, you've probably got a lot of different customer 24 00:01:09,390 --> 00:01:11,760 avatars, um, which is totally great. 25 00:01:11,940 --> 00:01:15,810 The problem is over the years, as your customer avatars grow in number and 26 00:01:15,810 --> 00:01:20,660 in size, you get further and further away from who that ideal client is. 27 00:01:21,480 --> 00:01:25,260 Um, so it's taking a step back and redefining exactly who that, that 28 00:01:25,260 --> 00:01:26,670 you know, kind of ideal customer. 29 00:01:26,670 --> 00:01:30,330 That ideal client is a really great foundational piece, but then you 30 00:01:30,330 --> 00:01:31,890 can go in and look and say, okay. 31 00:01:32,155 --> 00:01:36,414 Now I can branch out and customize my avatars, uh, more specifically to 32 00:01:36,414 --> 00:01:39,535 make sure that they are derivative of the ideal customer and not 33 00:01:39,535 --> 00:01:42,085 someone completely different and we're attracting the wrong people. 34 00:01:42,565 --> 00:01:43,074 None of that. 35 00:01:43,080 --> 00:01:45,625 If you've got a team, um, you most likely have multiple pe, 36 00:01:45,655 --> 00:01:47,155 different people writing copy. 37 00:01:47,515 --> 00:01:50,495 Um, you want to be able to have clarity on how do we message these people? 38 00:01:50,495 --> 00:01:53,365 What does, you know, what are they dealing with in their daily life 39 00:01:53,365 --> 00:01:54,715 that we're trying to solve for them? 40 00:01:54,715 --> 00:01:57,085 What are, uh, you know, what are the pieces that are gonna make 41 00:01:57,085 --> 00:01:58,315 them make a buying decision? 42 00:01:58,315 --> 00:02:00,804 And, and what do we know to be true about those people? 43 00:02:01,305 --> 00:02:03,345 You also have too many opinions on what that is. 44 00:02:03,825 --> 00:02:07,725 Uh, when you have a centralized document, uh, for the company that people have 45 00:02:08,085 --> 00:02:12,225 agreed on and been able to, um, you, you know, to, to collaborate on and 46 00:02:12,225 --> 00:02:15,075 have a final piece that can be used throughout the company, whether it's 47 00:02:15,075 --> 00:02:17,025 for product or marketing or sales. 48 00:02:17,355 --> 00:02:21,525 Uh, it provides a, a common language that you're able to use and, and, 49 00:02:21,915 --> 00:02:25,095 you know, that's what we're trying to accomplish here because the reality 50 00:02:25,095 --> 00:02:29,820 is, We really need to fine tune who we want to attract and who we want to 51 00:02:29,820 --> 00:02:34,050 bring in, because when you're speaking to everybody, you call out no one. 52 00:02:34,590 --> 00:02:37,170 And that's what we wanna overcome and that's what we wanna make sure we're 53 00:02:37,170 --> 00:02:41,940 really honing in on is, is our ability to, to speak to that specific ideal 54 00:02:41,945 --> 00:02:47,850 person and leverage that, that ability with the IO that we're using and the 55 00:02:47,850 --> 00:02:51,150 tools that we're using to make sure we're honing in the content we're producing. 56 00:02:51,660 --> 00:02:53,100 Problem number two is lead quality. 57 00:02:53,850 --> 00:02:57,750 Uh, the most common problem I see, uh, with marketers and with businesses 58 00:02:57,750 --> 00:03:00,510 that are complaining of getting bad leads or low quality leads, 59 00:03:00,510 --> 00:03:03,510 is they aren't talking to their specific ideal customer they serve. 60 00:03:04,020 --> 00:03:07,320 Uh, their messaging isn't matching their ideal customer. 61 00:03:07,620 --> 00:03:09,750 Um, and so they're not bringing the right person. 62 00:03:10,500 --> 00:03:12,960 Uh, so I always ask people to go back and audit, who are you 63 00:03:12,960 --> 00:03:14,160 actually trying to message to? 64 00:03:14,160 --> 00:03:15,330 Who is that ideal person? 65 00:03:15,330 --> 00:03:17,160 And make sure your marketing's in mind with that. 66 00:03:17,700 --> 00:03:21,250 Uh, cuz the dangerous piece here, especially with ai, uh, Is if you're 67 00:03:21,250 --> 00:03:25,240 using AI with the wrong messaging, it's only gonna make those things even worse. 68 00:03:25,690 --> 00:03:29,920 Um, if you don't have the guardrails for AI to give back the specific content that 69 00:03:29,920 --> 00:03:33,970 you need, uh, and the specific copy that you need, that's gonna convert for your 70 00:03:33,970 --> 00:03:38,110 ideal customer, you're gonna get further and further away and have potentially get 71 00:03:38,115 --> 00:03:40,360 even worse, uh, results from your leads. 72 00:03:40,690 --> 00:03:43,720 Um, and, and really look at and say, well, is AI not working 73 00:03:43,780 --> 00:03:45,550 well, the answer is probably no. 74 00:03:45,550 --> 00:03:47,650 It's just not getting the right inputs that its needs. 75 00:03:48,940 --> 00:03:50,050 Uh, and last here. 76 00:03:51,020 --> 00:03:51,480 Here we go. 77 00:03:51,750 --> 00:03:53,100 Last, uh, is access. 78 00:03:53,400 --> 00:03:56,670 You know, as I mentioned on Thursday, everybody now has access to ai. 79 00:03:57,000 --> 00:04:00,000 Uh, access isn't, isn't a, uh, differentiator anymore. 80 00:04:00,060 --> 00:04:03,990 Uh, your prompts will help, but they aren't strong enough, uh, on their own. 81 00:04:03,990 --> 00:04:07,770 So we need high quality inputs to create high converting and attention 82 00:04:07,770 --> 00:04:11,220 grabbing outputs, uh, that meet our ideal customers where they are at. 83 00:04:11,220 --> 00:04:13,770 So those are the problems we're looking to overcome in this one. 84 00:04:13,860 --> 00:04:15,720 This one piece, uh, this one. 85 00:04:16,230 --> 00:04:19,200 Worksheet really will allow you to have that and it'll be a great 86 00:04:19,200 --> 00:04:23,100 repository for you to pull from the coming weeks as we look at new prompts 87 00:04:23,100 --> 00:04:26,010 and new strategies that we're we're using to attract the right customers. 88 00:04:26,030 --> 00:04:30,915 So, My goal for you today, uh, that we're gonna work towards is define our ideal 89 00:04:30,915 --> 00:04:35,715 aspirational customers so we can focus on our messaging, prompting, and channel 90 00:04:35,715 --> 00:04:40,245 strategy to attract more of the customers we want and repel the ones we don't want. 91 00:04:40,515 --> 00:04:42,315 So hopefully we're all aligned to that. 92 00:04:42,315 --> 00:04:45,505 Hopefully everyone, everyone wants more of the customers they want and 93 00:04:45,765 --> 00:04:47,205 to repel the ones they don't want. 94 00:04:47,565 --> 00:04:49,575 Uh, I'm assuming that if you're here, uh, and. 95 00:04:49,675 --> 00:04:52,435 You do marketing, uh, or run a business at all that you would 96 00:04:52,435 --> 00:04:53,425 agree with that statement. 97 00:04:53,665 --> 00:04:55,525 Uh, and that's what we're looking to solve for. 98 00:04:55,525 --> 00:05:00,595 And the way we're gonna do that is with the ideal client profile book profiler. 99 00:05:00,595 --> 00:05:01,075 Sorry. 100 00:05:01,435 --> 00:05:04,375 Uh, and this is really getting back to who your core ideal customer is. 101 00:05:05,090 --> 00:05:06,890 You know, to us and, and where those come from. 102 00:05:06,890 --> 00:05:09,230 I know a lot of the questions, uh, that we've got is, how's this 103 00:05:09,230 --> 00:05:10,790 different than customer avatar? 104 00:05:11,150 --> 00:05:13,190 Um, they're, they're complimentary, right? 105 00:05:13,190 --> 00:05:17,599 So this piece is really saying, who is that one core ideal customer? 106 00:05:17,810 --> 00:05:21,530 Uh, or maybe it's two ideal customers that we've really hone in on, and then 107 00:05:21,530 --> 00:05:23,180 we build our customers out from there. 108 00:05:23,640 --> 00:05:26,150 Um, so for instance, you know, you may be at a. 109 00:05:26,545 --> 00:05:28,225 Let's say a SaaS company, right? 110 00:05:28,225 --> 00:05:32,155 And you've got a serve yourself option sign up on, on the website option. 111 00:05:32,155 --> 00:05:35,095 Then you've got an enterprise sales level option. 112 00:05:35,095 --> 00:05:39,895 So you've kinda got two core ideal, uh, customers there, clients 113 00:05:39,900 --> 00:05:41,005 that you're looking to attract. 114 00:05:41,005 --> 00:05:43,706 Those would be your two ideal client profiles that you'd want to have. 115 00:05:44,544 --> 00:05:46,974 And then your avatars are gonna reach out from there. 116 00:05:46,974 --> 00:05:51,655 So within that subset of, of ideal people, now what are some of those subsets that 117 00:05:51,655 --> 00:05:55,914 we can customize our messaging to and branch out to bring in more people? 118 00:05:56,094 --> 00:05:59,965 But first we've gotta make sure we're honed in on that ideal one to two, 119 00:06:00,205 --> 00:06:02,005 uh, types of clients or customers. 120 00:06:02,865 --> 00:06:04,815 Um, so how does it work? 121 00:06:04,845 --> 00:06:06,525 I'm gonna take you through step by step. 122 00:06:06,525 --> 00:06:09,825 So what you'll see actually pop back over here is you guys can pull up the 123 00:06:09,825 --> 00:06:10,965 sheet if you've got it in front of you. 124 00:06:10,965 --> 00:06:13,725 It's gonna be super helpful cause we're gonna walk through each box. 125 00:06:14,085 --> 00:06:16,965 I'm gonna show you what it is, what it means, and I'm gonna show you how to 126 00:06:16,965 --> 00:06:20,715 use AI to help generate, uh, so you're not staring at a blank page and you can 127 00:06:20,745 --> 00:06:22,685 customize to what you want it to be. 128 00:06:23,400 --> 00:06:26,520 So let's get into how it works. 129 00:06:26,789 --> 00:06:31,469 So step one we're gonna go into, it's gonna be that first box on the top, 130 00:06:31,530 --> 00:06:34,020 uh, in the middle, which is gonna, your demographics and your interests. 131 00:06:34,349 --> 00:06:37,380 And this is where, this is really where we wanna start in saying what are kind 132 00:06:37,385 --> 00:06:41,940 of those four key, uh, demographics and interests of people that, that are ideal 133 00:06:41,945 --> 00:06:43,469 clients that we're looking to attract. 134 00:06:43,469 --> 00:06:48,120 So, The question we're gonna ask here is, what traits are common 135 00:06:48,120 --> 00:06:50,610 among my ideal aspirational clients? 136 00:06:51,270 --> 00:06:55,680 How do I know that those are common traits that those people have that, you know, 137 00:06:55,680 --> 00:06:59,220 maybe our non-ideal customers don't have? 138 00:06:59,490 --> 00:07:02,290 Uh, comparing those two is, is a great way to look at this as well and 139 00:07:02,290 --> 00:07:06,469 saying, well, Are these common, you know, common traits among my ideal 140 00:07:06,530 --> 00:07:08,270 customer and my non-ideal customer? 141 00:07:08,270 --> 00:07:10,400 Then that's not something you wanna put in this box. 142 00:07:10,550 --> 00:07:14,240 You wanna look at pieces that are unique, uh, to your ideal 143 00:07:14,240 --> 00:07:16,460 aspirational clients or customers. 144 00:07:16,700 --> 00:07:18,710 Um, so how do we wanna do that? 145 00:07:19,070 --> 00:07:22,370 Uh, I'm gonna show you guys how to, how to kind of generate ideas, especially if 146 00:07:22,375 --> 00:07:24,020 you don't know the answers to this yet. 147 00:07:24,320 --> 00:07:27,740 Um, so that you're able to fill out the sheet, uh, as we go into the week, 148 00:07:27,770 --> 00:07:30,469 uh, just simply using free chat, g p T. 149 00:07:30,500 --> 00:07:34,875 So, Kind of step one I popped over to, um, to chat. 150 00:07:34,875 --> 00:07:38,595 G B T, uh, first and foremost said, Hey, can you help me identify 151 00:07:38,595 --> 00:07:40,305 customer demographics and interests? 152 00:07:40,725 --> 00:07:43,515 Um, certainly, uh, I'll need some more information to get started. 153 00:07:43,515 --> 00:07:45,975 What type of business or product are you trying to identify customer 154 00:07:46,365 --> 00:07:47,565 demographics and interests for? 155 00:07:47,570 --> 00:07:50,205 And what kind of data information do you already have about your customers? 156 00:07:50,445 --> 00:07:53,955 This is a really cool, uh, kind of nugget and takeaway on top of 157 00:07:53,955 --> 00:07:55,215 what we're talking about today. 158 00:07:55,485 --> 00:07:59,205 You can always ask the AI if they're able to help you with a request. 159 00:07:59,534 --> 00:08:02,805 Like it was as simple as, can you help me identify this? 160 00:08:03,195 --> 00:08:04,125 Uh, the answer is yes. 161 00:08:04,125 --> 00:08:07,125 And then it's gonna tell you what the minimum inputs it needs 162 00:08:07,125 --> 00:08:08,984 to generate that content is. 163 00:08:08,984 --> 00:08:11,534 So in this case, it says, sure, I'm happy to do that, but I need to know 164 00:08:11,534 --> 00:08:15,465 what kind of business or product, uh, that you, that you wanna focus on, and 165 00:08:15,465 --> 00:08:18,674 what kind of data information you can already provide about your customer. 166 00:08:19,530 --> 00:08:23,040 Now I'm gonna pull through an example that I used, uh, from Friday when I was 167 00:08:23,040 --> 00:08:27,540 sharing my 10 minute, uh, my 10 minute test, uh, where I created a fictitious 168 00:08:27,540 --> 00:08:32,130 company called Matt's Macaroons, which is a local bakery, uh, selling macaroons. 169 00:08:32,130 --> 00:08:33,510 And that's what I'm gonna use throughout here. 170 00:08:33,510 --> 00:08:36,120 So we have very specific language that we can carry throughout 171 00:08:36,120 --> 00:08:36,840 and see how this is done. 172 00:08:37,980 --> 00:08:41,280 So I took that information from Ja Chat to Tito said, okay, great. 173 00:08:41,280 --> 00:08:45,420 Well, my company, Matt's macaron sells artisanal macaroons 174 00:08:45,420 --> 00:08:46,680 with a Parisian influence. 175 00:08:46,680 --> 00:08:51,090 All our ingredients are non G M O and we use only Grasso butter and cage-free eggs. 176 00:08:51,090 --> 00:08:54,360 Our typical customers are females, ages 35 to 45. 177 00:08:54,680 --> 00:08:57,091 So me as a, as the bakery owner, the way I. 178 00:08:57,575 --> 00:09:00,155 The way I would about this is what information do I have? 179 00:09:00,155 --> 00:09:04,055 Maybe it's a newly opened bakery and I haven't been in business for very long 180 00:09:04,295 --> 00:09:07,415 and I want to have foundation because I know a lot of times we get questions about 181 00:09:07,415 --> 00:09:09,155 like, what if I don't have customers yet? 182 00:09:09,425 --> 00:09:12,305 What if I'm just getting started only on my first few customers? 183 00:09:12,305 --> 00:09:13,295 So I wanted to take, I. 184 00:09:13,480 --> 00:09:15,340 Take it down a little bit from the details. 185 00:09:15,340 --> 00:09:19,180 Now, if you've been in business for years and years, the more information you 186 00:09:19,180 --> 00:09:23,050 can, uh, fuse into that and explaining what the product is or what the business 187 00:09:23,050 --> 00:09:26,680 is and the kind of data you already have about your customers, the better. 188 00:09:26,680 --> 00:09:31,045 It's gonna help you really formulate this so, And this is what it came 189 00:09:31,045 --> 00:09:34,105 back with, uh, of some specific demographics or interests that, 190 00:09:34,375 --> 00:09:36,175 um, that the customer may have. 191 00:09:36,175 --> 00:09:40,075 So females, ages 35 to 45, middle of to high income earners who are 192 00:09:40,075 --> 00:09:43,375 willing to pay, uh, a premium for high quality and healthy food. 193 00:09:43,875 --> 00:09:45,645 They're probably college educator or higher. 194 00:09:45,645 --> 00:09:47,295 I don't know that this, that necessarily matters. 195 00:09:47,295 --> 00:09:50,444 So again, editing, this is gonna be a real big part of the 196 00:09:50,444 --> 00:09:51,675 process that we're going through. 197 00:09:51,675 --> 00:09:55,094 If you're gonna leverage these tools, uh, do you have a graphical location? 198 00:09:55,094 --> 00:09:57,824 Urban or urban areas with higher income education levels. 199 00:09:57,854 --> 00:09:58,305 Okay. 200 00:09:58,665 --> 00:10:00,135 Um, and then interest. 201 00:10:00,135 --> 00:10:02,615 So foodies and people interested in culinary arts make sense. 202 00:10:03,235 --> 00:10:07,334 Uh, health and wellness enthusiasts to and non GMO and organic food. 203 00:10:07,890 --> 00:10:11,250 Maybe doesn't make sense that they're health and wellness enthusiasts per 204 00:10:11,250 --> 00:10:14,400 se, that we're selling macro, but, but that might be an outlier there. 205 00:10:14,700 --> 00:10:19,050 Um, In French culture, cuisine, desserts, social media users who are interested 206 00:10:19,050 --> 00:10:21,900 in sharing visually appealing food and desserts on platforms like Instagram 207 00:10:21,900 --> 00:10:24,930 where people are looking for unique and high quality gifts to give for special 208 00:10:24,930 --> 00:10:27,090 occasions such as birthdays or holidays. 209 00:10:27,570 --> 00:10:31,140 So what Chat J p T did here is allowed me to have at least a foundation. 210 00:10:31,590 --> 00:10:34,140 Now, my guess is a lot of you out there probably already kind of 211 00:10:34,140 --> 00:10:36,090 have these demographic interests. 212 00:10:36,150 --> 00:10:39,740 Um, For your people and, and can identify this with real data and 213 00:10:39,740 --> 00:10:41,510 that's better place to start. 214 00:10:41,510 --> 00:10:46,430 But again, I wanted to do this, um, this use case for you guys, whereas if 215 00:10:46,430 --> 00:10:49,190 I didn't have much of that data, whereas this was a newer business or I was 216 00:10:49,190 --> 00:10:51,890 starting things out, so we can kind of start from scratch and go through it. 217 00:10:51,890 --> 00:10:54,711 But the more real data you can fuse into it, the better. 218 00:10:54,716 --> 00:10:55,160 And that's why. 219 00:10:55,925 --> 00:11:00,095 Um, you know, kind of my note here is when possible gather real specific data. 220 00:11:00,185 --> 00:11:03,665 Now the question is how do I gather real specific data when it comes to, 221 00:11:03,935 --> 00:11:05,465 um, my demographics and interests? 222 00:11:05,465 --> 00:11:06,935 Well, there's a few ways to do that. 223 00:11:06,940 --> 00:11:08,915 First of all, be conducting customer surveys. 224 00:11:09,765 --> 00:11:13,575 Um, you can gather data in your customer's purchase history and analyze it. 225 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. 226 00:11:17,569 --> 00:11:21,795 Looking at your ideal customers, what are maybe those top five or 10% of 227 00:11:21,795 --> 00:11:25,345 customers, uh, that you've had in your business, uh, that are ideal for you? 228 00:11:26,085 --> 00:11:28,865 You can also pop over, look at, uh, social media analytics to 229 00:11:29,115 --> 00:11:30,105 identify what kind of content. 230 00:11:30,735 --> 00:11:33,675 Uh, your customers engage with and what topics they're interested looking at 231 00:11:33,675 --> 00:11:37,455 some of your top posts, uh, your top comments and, and what's over there. 232 00:11:37,725 --> 00:11:40,455 Additionally, you can use tools like Google Analytics to understand 233 00:11:40,725 --> 00:11:43,515 what kind of website traffic you're getting or gain insights into 234 00:11:43,520 --> 00:11:45,255 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 00:12:02,850 --> 00:12:03,660 What should I ask them? 242 00:12:03,960 --> 00:12:07,260 Well, that's another fun thing we can do with, with, uh, with ai. 243 00:12:07,530 --> 00:12:11,610 And so we popped over into, um, demographics and, or popped over to 244 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 00:12:22,140 --> 00:12:23,610 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 252 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 00:12:33,685 --> 00:12:35,094 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. 260 00:12:52,100 --> 00:12:55,880 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 00:12:59,095 --> 00:13:00,410 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 00:13:32,715 --> 00:13:34,725 Step one was tell them what to act at. 274 00:13:34,905 --> 00:13:35,685 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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