All language subtitles for 7. Email Marketing Analytics

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These are the user uploaded subtitles that are being translated: 1 00:00:00,680 --> 00:00:04,050 In the last place she learned how to create an email campaign. 2 00:00:04,050 --> 00:00:09,870 And in this lecture we're going to complete the very important step to actually analyze the results 3 00:00:09,870 --> 00:00:17,940 of the campaign because this is the key opportunity for you to analyze the data learn from your successes 4 00:00:17,940 --> 00:00:21,210 or failures so that you can really get better as you go forward. 5 00:00:21,270 --> 00:00:26,070 So there's two places that we're going to look at the data one here is in MailChimp and you can see 6 00:00:26,070 --> 00:00:29,850 already we can see the percentage number of opens and clicks. 7 00:00:29,850 --> 00:00:32,080 There's also been a report here we're going to look at. 8 00:00:32,310 --> 00:00:42,040 And then also in Google Analytics if you come down to acquisition campaigns all campaigns you can see 9 00:00:42,120 --> 00:00:45,850 in the information free email campaign that we sent out. 10 00:00:45,870 --> 00:00:53,180 And remember that this is coming through because we have added Google Analytics to our MailChimp pecans 11 00:00:53,180 --> 00:00:56,140 So that was why it was important to do that. 12 00:00:56,280 --> 00:01:02,460 So we can really see the number of people that came to the Web site from that email campaign and also 13 00:01:02,850 --> 00:01:05,550 the number of people who eventually signed up. 14 00:01:05,550 --> 00:01:08,360 But let's go back and start with MailChimp. 15 00:01:08,400 --> 00:01:14,790 So with a high level here in the campaign we can see the percentage opens in clicks but we can click 16 00:01:14,790 --> 00:01:19,450 through to the report to see a lot more detail. 17 00:01:19,450 --> 00:01:26,900 Now if you have a professional or pro MailChimp account you can set up a kind of revenue goals etc. 18 00:01:26,940 --> 00:01:28,980 and really see revenue driven. 19 00:01:28,980 --> 00:01:34,350 But I haven't done that so and we'll just be looking really at the information here. 20 00:01:34,350 --> 00:01:42,480 So you can get a sense of how good your open rate is but by using these benchmarks here. 21 00:01:42,480 --> 00:01:49,770 So it says the industry average for education and training which is the market I'm in is at thirteen 22 00:01:49,770 --> 00:01:51,780 point eight percent open race. 23 00:01:51,780 --> 00:01:59,150 So I'm well above that's obviously a much smaller list but I think that's not too bad. 24 00:01:59,160 --> 00:02:03,640 So I think the key thing that gets people to open emails is the subject line. 25 00:02:03,690 --> 00:02:10,410 So at least now I have a benchmark going forward that I can get a sense of you know are my subject lines 26 00:02:10,410 --> 00:02:12,680 getting better or more open them. 27 00:02:12,900 --> 00:02:17,310 Or are people starting to trust me more and like me more. 28 00:02:17,640 --> 00:02:19,500 Or is that something I need to work on. 29 00:02:19,500 --> 00:02:25,830 Now we've got the click rate then so that was actually the call to action five point six percent versus 30 00:02:25,900 --> 00:02:29,190 1.5 percent for an industry average. 31 00:02:29,190 --> 00:02:32,300 So that's probably a little lower than I would have liked. 32 00:02:32,600 --> 00:02:37,200 And so that's what I can really think about. 33 00:02:37,200 --> 00:02:42,980 Now how can I make it more exciting for them to actually click on that button. 34 00:02:42,990 --> 00:02:47,030 Can I make it something you know like they have to click. 35 00:02:47,030 --> 00:02:52,920 Now if they want to take advantage of whatever the offer might be but thinking about haggling to get 36 00:02:52,920 --> 00:02:57,400 more people to click because that's ultimately what I want people to do. 37 00:02:57,420 --> 00:02:59,990 So it's good to see the numbers have a baseline there. 38 00:03:00,070 --> 00:03:03,480 Now looking across I can see that there was one on subscribe. 39 00:03:03,690 --> 00:03:08,450 So one person when they got the email decided to unsubscribe from the list starts. 40 00:03:08,520 --> 00:03:10,710 Only one person out of 71. 41 00:03:10,710 --> 00:03:12,780 That's not bad at all. 42 00:03:12,780 --> 00:03:14,370 Happy enough with that. 43 00:03:14,370 --> 00:03:20,430 Now if you want further explanation on all of these metrics you can see that there's a little icon here 44 00:03:21,840 --> 00:03:26,690 that you can click around and it'll help explain those more for you. 45 00:03:26,730 --> 00:03:29,010 You also can see a 24 hour performance. 46 00:03:29,010 --> 00:03:32,140 It's not quite being 24 hours. 47 00:03:32,610 --> 00:03:37,680 It's been about 12 hours since I sent the e-mail so I would expect these numbers to Bombo palatal a 48 00:03:37,680 --> 00:03:42,200 bit over the next few days because not everybody opens the e-mail. 49 00:03:42,270 --> 00:03:45,040 You know the minute it goes that they come back to it later. 50 00:03:45,060 --> 00:03:50,120 But interesting to see not about an hour after I sent the e-mail. 51 00:03:50,160 --> 00:03:59,320 There was a spike so maybe next time I will push my e-mail campaigns to be in one hour later and props 52 00:03:59,350 --> 00:04:03,480 and that is a better time where I would get more options. 53 00:04:03,510 --> 00:04:10,050 So there's some great information here in this report alone that can help you improve your next e-mail 54 00:04:10,050 --> 00:04:12,150 campaign. 55 00:04:12,210 --> 00:04:18,080 For the subject lines getting people to click that call to action the the time that you send it out 56 00:04:18,090 --> 00:04:19,120 etc.. 57 00:04:19,380 --> 00:04:25,140 And so as you do more and more campaigns you want to keep going back to this learning from the data 58 00:04:25,350 --> 00:04:31,620 now as well as the analytics here in MailChimp you might want to come into your Google Analytics account 59 00:04:31,620 --> 00:04:38,280 under our acquisition campaigns all campaigns and you will see the results here for the actual email 60 00:04:38,280 --> 00:04:44,790 campaign so you can see that there was five new users came to the site as a result of the mail campaign 61 00:04:45,720 --> 00:04:52,450 spending an average time of three minutes and 43 seconds on the site which is pretty long. 62 00:04:52,500 --> 00:04:58,290 And then actually two people end up signing up for the e-mail list. 63 00:04:58,320 --> 00:05:03,680 So that was the main thing that wanted people to see you can see that all the way from that number all 64 00:05:03,680 --> 00:05:10,780 the way back to the full list of the email subscribers is a pretty small percentage. 65 00:05:10,970 --> 00:05:15,850 But essentially that is kind of the baseline we're working with right now. 66 00:05:15,890 --> 00:05:20,290 And remember that there are a lot of steps in the process to get people to that point. 67 00:05:20,300 --> 00:05:27,650 And if you can tweak all of those steps in the process and then are going to get better results as well 68 00:05:27,710 --> 00:05:34,130 as email being the source of traffic we can use email and the figures we've got here now as a baseline 69 00:05:34,130 --> 00:05:41,570 to compare our other sources of traffic whether it be social media you know wherever at least we have 70 00:05:41,980 --> 00:05:44,550 a great baseline to compare them with. 71 00:05:45,260 --> 00:05:48,220 And so that is really really useful to have. 72 00:05:48,500 --> 00:05:53,970 So that really wraps up this whole section on email marketing. 73 00:05:53,990 --> 00:05:59,710 This is a very important piece of is understanding and analyzing the metrics and that is how you're 74 00:05:59,720 --> 00:06:03,220 going to learn if you're not quite happy with the results that you got. 75 00:06:03,350 --> 00:06:08,140 Don't view that as a failure view that really as an opportunity to learn. 8249

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