0 1 00:00:00,360 --> 00:00:08,160 Now one thing to remember when you are asking freelance designers for app icons is that never just ask 1 2 00:00:08,160 --> 00:00:08,820 for one 2 3 00:00:08,820 --> 00:00:16,850 icon. Always ask for at least 5 or 6 and have some slight variations to those icons. 3 4 00:00:16,860 --> 00:00:23,130 So for example, you know the one in the left hand corner you can see these are on a similar theme but 4 5 00:00:23,130 --> 00:00:24,270 slightly different. 5 6 00:00:24,420 --> 00:00:29,420 And the reason why you need this is because you will need to split test your app icon. 6 7 00:00:29,430 --> 00:00:30,460 Now what does that mean? 7 8 00:00:30,480 --> 00:00:36,510 That means that you are essentially experimenting to find out which app icon performs the best namely 8 9 00:00:36,510 --> 00:00:40,620 which ones produce the most downloads which ones are most people drawn to. 9 10 00:00:40,770 --> 00:00:46,330 So that means that ideally you want 50% of your visitors to see variation A 10 11 00:00:46,680 --> 00:00:53,430 and you want 50% of them to see variation B and then you look at the two groups and compare which 11 12 00:00:53,430 --> 00:00:58,620 ones had higher conversions namely which app icon produced the most downloads. 12 13 00:00:58,620 --> 00:01:05,250 So then after you've done that, you will find that one out of these five or six icons tends to perform 13 14 00:01:05,250 --> 00:01:12,810 the best and then you go back to your designer and ask them to make micro variations on that app icon 14 15 00:01:12,870 --> 00:01:15,950 and then go back and test again and again and again. 15 16 00:01:16,110 --> 00:01:22,710 And the idea is that by the end of all this testing, you will end up with the perfect app icon or as perfect 16 17 00:01:22,710 --> 00:01:23,790 as can be 17 18 00:01:23,790 --> 00:01:25,670 that produces the most downloads. 18 19 00:01:25,680 --> 00:01:31,260 Now a lot of marketing, you know, no matter if its internet marketing or social media marketing or app marketing, 19 20 00:01:31,320 --> 00:01:37,040 it's all about experimentation. And you will have some hypotheses as to what may or may not work, 20 21 00:01:37,200 --> 00:01:43,680 but at the end of the day all that matters is trying it out on actual users and see which ones produce 21 22 00:01:44,010 --> 00:01:46,320 more revenue or more conversions. 22 23 00:01:46,740 --> 00:01:50,460 So do A/B split testing is actually relatively straightforward 23 24 00:01:50,460 --> 00:01:57,000 on the Google Play store. All you have to do is upload several app icons and Google will automatically 24 25 00:01:57,000 --> 00:02:04,920 display a random icon to new users who are viewing the app download page. And based on the conversion 25 26 00:02:04,920 --> 00:02:12,360 rates i.e. whether if that particular icon led to a download, they will reveal to you the data that shows 26 27 00:02:12,420 --> 00:02:14,280 which icon performs best. 27 28 00:02:14,280 --> 00:02:19,770 And funnily enough in my experience it's usually not the one that you think looks nicest. 28 29 00:02:19,770 --> 00:02:25,190 So this kind of experimentation is really really good for pointing out those unintuitive gains. 29 30 00:02:25,350 --> 00:02:31,980 For example did you ever notice that most of the top strategy games on the app stores all have the same 30 31 00:02:32,010 --> 00:02:37,500 app icon and its basically the main character with their mouth open looking like they're shouting something 31 32 00:02:37,530 --> 00:02:42,830 and looking far into the distance? And I mean there is a little bit of psychology behind it because there's 32 33 00:02:42,840 --> 00:02:47,860 nothing that draws a human in more than another human face or human esque face. 33 34 00:02:47,940 --> 00:02:52,770 And then having the human face looking far into the distance you're wondering oh what are they looking 34 35 00:02:52,770 --> 00:02:53,070 at? 35 36 00:02:53,070 --> 00:02:59,040 And then having the so-called raw face or action face means that you know there's a lot of emotion going 36 37 00:02:59,040 --> 00:03:00,420 on in that image. 37 38 00:03:00,420 --> 00:03:02,760 Now some of this is cause and effect 38 39 00:03:02,930 --> 00:03:07,110 namely the app icons for Clash of Clans and game of war. 39 40 00:03:07,170 --> 00:03:09,730 Both have this kind of app icon so there's a lot of-- 40 41 00:03:09,820 --> 00:03:11,160 so there's a lot of copycats. 41 42 00:03:11,190 --> 00:03:17,070 But at the same time, I can bet you that these app icons have been split tests to death and they have 42 43 00:03:17,070 --> 00:03:22,680 found through data that this is what draws people in in those fraction of a second while you're scrolling 43 44 00:03:22,680 --> 00:03:24,020 through the App Store. 44 45 00:03:24,330 --> 00:03:31,680 So my point is not necessarily to find a main character, open their mouth and make your app icon just an action 45 46 00:03:31,680 --> 00:03:31,980 mouse. 46 47 00:03:31,980 --> 00:03:37,320 My point is is that the data can sometimes be really revealing and give you unintuitive conclusions. 47 48 00:03:37,320 --> 00:03:42,990 But seriously though, check out the top grossing strategy game and check out how all the icons are essentially 48 49 00:03:42,990 --> 00:03:43,690 the same. 49 50 00:03:43,800 --> 00:03:48,080 So for Google Play, implementing split testing is very easy. 50 51 00:03:48,210 --> 00:03:51,180 But for the iOS App Store it's not so easy. 51 52 00:03:51,180 --> 00:03:57,780 Despite promising us the same feature for years and years now, iOS app developers still don't have access 52 53 00:03:57,900 --> 00:04:01,550 to this experimentation feature or split testing feature. 53 54 00:04:01,770 --> 00:04:09,400 And instead, what you have to do is manually update your app with a new app icon and compare say month 54 55 00:04:09,400 --> 00:04:14,970 to month how your app is performing and presumably based on the change in the app icon or the change 55 56 00:04:15,300 --> 00:04:17,370 in your screenshot. 56 57 00:04:17,410 --> 00:04:19,020 Now there's two problems with that. 57 58 00:04:19,020 --> 00:04:24,170 One is that if you've done any sort of science you'll know that that is not a valid comparison. 58 59 00:04:24,180 --> 00:04:30,330 It has to be side by side because you know this month you might have been featured in Product hunt whereas 59 60 00:04:30,360 --> 00:04:32,090 you know last month nobody heard about you. 60 61 00:04:32,100 --> 00:04:33,900 So there's a lot of confounding factors 61 62 00:04:33,900 --> 00:04:39,420 basically. On top of that, there's a website called App Review times which tracks on average how long 62 63 00:04:39,420 --> 00:04:42,000 it takes for an app update to go through. 63 64 00:04:42,030 --> 00:04:47,460 So at the moment looks like it takes about 4 days for your iOS app update to actually be reviewed 64 65 00:04:47,490 --> 00:04:52,930 and then released because on the iOS App Store it's done by humans and it can be a little bit- 65 66 00:04:52,980 --> 00:04:55,480 It's sped up in the last year compared to before. 66 67 00:04:55,490 --> 00:04:59,660 Previously like two years ago we were waiting something like 2 weeks to 3 weeks 67 68 00:04:59,850 --> 00:05:05,620 for every update to actually get reviewed and pushed through. But still 4 days is a long time and 68 69 00:05:05,620 --> 00:05:09,520 that means you can only really do two experiments a month for example. 69 70 00:05:09,520 --> 00:05:15,750 So it's not really ideal. An alternative to that is using a service like STOREMAVEN. 70 71 00:05:16,030 --> 00:05:22,990 And essentially the idea here is that you send your traffic i.e. people who potentially download your app towards 71 72 00:05:22,990 --> 00:05:30,340 a page that looks identical to the app store download page. And based on their conversions i.e. whether 72 73 00:05:30,350 --> 00:05:39,160 if they hit the download button or not, you can compare how different icons perform, how your app screenshots 73 74 00:05:39,160 --> 00:05:40,990 perform, how your description perform. 74 75 00:05:40,990 --> 00:05:46,970 So essentially allowing you to split test your app download page and bypassing the app store itself. 75 76 00:05:47,200 --> 00:05:53,430 Now the downside to that is that it's an extra click for your user to potentially give up on downloading. 76 77 00:05:53,440 --> 00:06:00,480 But on the upside, you do get a lot of useful data that will improve your download rate in the future. 77 78 00:06:00,730 --> 00:06:05,350 And they have a 30 day free trial. So check it out if app listing optimization is something you want 78 79 00:06:05,350 --> 00:06:06,520 to get serious about.