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These are the user uploaded subtitles that are being translated: 1 00:00:00,380 --> 00:00:06,180 In this video you're going to learn how to add a segment to your Google Analytics reports. 2 00:00:06,480 --> 00:00:12,840 And this is a feature of Google Analytics that can really take your analysis to the next level because 3 00:00:12,840 --> 00:00:19,710 it allows you easily to look at a subset of data and compare that to the total data set. 4 00:00:19,710 --> 00:00:24,410 So for example I've just come into the demographics overview report. 5 00:00:24,420 --> 00:00:32,310 We're going to create a very simple segment we're just going to look at the data from a particular country 6 00:00:32,640 --> 00:00:38,890 and compare that to the age and gender of our total data set. 7 00:00:38,910 --> 00:00:45,150 So to get started we just click on the segment and then here you can see that there are already some 8 00:00:45,150 --> 00:00:48,640 segments created and all of them are listed here. 9 00:00:48,700 --> 00:00:56,710 Fernando we just want to create a new segment and we can really see now that this segment is really 10 00:00:56,710 --> 00:01:04,240 just some filters that we're going to add in in order to create that smaller subset of data there right 11 00:01:04,240 --> 00:01:07,330 now because we haven't selected any filters. 12 00:01:07,360 --> 00:01:09,540 It's showing 100 percent of the users. 13 00:01:09,670 --> 00:01:14,630 But once we start to add any filters you're going to see this number drop down. 14 00:01:14,680 --> 00:01:21,730 For example if we just want to look at a segment of our audience of that age group we can see it automatically 15 00:01:21,730 --> 00:01:27,790 filters down to 20 percent of the audience that's come in there and create a segment and just look at 16 00:01:27,790 --> 00:01:35,710 all of our visitors from a particular country and we can select this to be Japan. 17 00:01:35,710 --> 00:01:43,570 So no this should open days and we can see that our Japanese audiences just 1.7 2 percent of the total 18 00:01:43,570 --> 00:01:54,520 users over the last 30 days we can use set create this as her name the segments as demographics Japan 19 00:01:55,840 --> 00:02:01,430 and cook save. 20 00:02:01,580 --> 00:02:06,500 And once it slows up what we're going to see is a side by side comparison so we have all of our users 21 00:02:06,530 --> 00:02:07,640 100 percent. 22 00:02:07,830 --> 00:02:14,660 And we have our demographics from Japan which is just 1.8 percent really what we are doing here. 23 00:02:14,660 --> 00:02:20,350 Even though it's a very simple example it's just comparing a subset to the total data set. 24 00:02:20,480 --> 00:02:23,990 So we can see that on age they actually look very similar. 25 00:02:24,270 --> 00:02:32,570 And so the total average age and the age range is split by 40 percent between this age bracket and over 26 00:02:32,570 --> 00:02:37,030 here in Japan slightly higher but only just 42 percent. 27 00:02:37,030 --> 00:02:44,810 So very interesting to see that even in Japan compared to the total data set that the age range is still 28 00:02:44,810 --> 00:02:51,290 very consistent with what we're seeing with the large data set coming then and looking at gender we 29 00:02:51,290 --> 00:02:59,240 can see there's a little bit different male is at 68 percent on our total data set. 30 00:02:59,450 --> 00:03:04,390 And here in Japan we're getting a higher percentage of males 78 percent. 31 00:03:04,550 --> 00:03:10,460 So you can see in this subset of data it's actually even though it only represents 1.8 percent of total 32 00:03:10,460 --> 00:03:12,100 visitors sexy. 33 00:03:12,230 --> 00:03:18,470 Remarkably similar in this particular example but it won't be in every case and that's where the interesting 34 00:03:18,470 --> 00:03:20,750 things really start to happen. 35 00:03:20,750 --> 00:03:28,150 For example you could see a traffic source that is contributing way more sales than other traffic source 36 00:03:28,160 --> 00:03:31,170 and that's where segment's start to really get interesting. 37 00:03:31,250 --> 00:03:37,450 Now in terms of using these segments you can see that when you click through to any individual report 38 00:03:38,900 --> 00:03:44,300 once it loads up you'll see that this segment is going to be carried with you into those reports. 39 00:03:44,480 --> 00:03:50,750 And even if you go on into other sections of your Google Analytics you're going to see that the segment's 40 00:03:51,140 --> 00:03:55,970 is going to be carried through to those reports as well. 41 00:03:55,970 --> 00:04:03,750 So if you want to remove these segments early stage you can just come in and click on remove and you 42 00:04:03,750 --> 00:04:06,000 won't that won't appear there any longer. 43 00:04:06,000 --> 00:04:11,610 And if you do want to delete or edit your segments you can just click back into segments click into 44 00:04:11,610 --> 00:04:13,640 the custom ones that you've created. 45 00:04:13,650 --> 00:04:22,030 Select the segments and you can either edited or go ahead and delete that segments and start a can. 46 00:04:22,170 --> 00:04:28,890 So that is how you add segments to Google Analytics reports and it's incredibly powerful feature that 47 00:04:28,890 --> 00:04:31,430 can take your analysis to the next novel. 48 00:04:31,560 --> 00:04:39,540 So maybe go ahead into Google and like secant and set up a segment's and test this feature ad for yourself. 5671

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