1 00:00:00,660 --> 00:00:07,670 The behavior section of our Google Analytics kans can tell us a lot of information about how our Web 2 00:00:07,670 --> 00:00:10,910 site visitors are interacting with our site. 3 00:00:11,130 --> 00:00:17,160 And in this video we're going to look at three of the key reports the landing page report the all pages 4 00:00:17,160 --> 00:00:25,560 report and the exit pages report so that we can find some opportunities to optimize that Web site experience. 5 00:00:25,770 --> 00:00:28,910 So let's get started with the landing page report. 6 00:00:29,370 --> 00:00:36,840 Now a landing page is a page through which visitors enter your site and you really want to make sure 7 00:00:36,840 --> 00:00:44,100 that the top landing page here is optimized to get people to come further into your site and that could 8 00:00:44,100 --> 00:00:49,740 be to read a blog post that could be to look at a product and out of the card but really want to make 9 00:00:49,740 --> 00:00:55,860 sure that those landing pages that could be receiving up to 50 percent of how people are coming into 10 00:00:55,860 --> 00:01:01,890 your site that they're actually guiding people to take an action and continue on to your site. 11 00:01:01,890 --> 00:01:09,930 One of the best metrics that you can use to assess the performance of your landing pages is the balance 12 00:01:09,920 --> 00:01:10,830 raise. 13 00:01:10,920 --> 00:01:19,590 And if we look at this site comparison tool here and compare these landing pages on Banse raised we 14 00:01:19,590 --> 00:01:26,790 can really have a look and see any of these non-name pages that have a bounce rate that is much higher 15 00:01:27,150 --> 00:01:28,830 than the site average. 16 00:01:28,830 --> 00:01:33,760 Now this is something of a red flag and something that we would want to improve. 17 00:01:34,050 --> 00:01:40,560 We get a significant amount of sessions to this page and so we would really want to investigate this 18 00:01:40,950 --> 00:01:45,170 and see what might be wrong if we click this open here. 19 00:01:45,450 --> 00:01:53,940 We might be able to actually see the page this may be the case that this page is actually broken. 20 00:01:53,940 --> 00:01:57,230 And so that's something that we might want to fix. 21 00:01:57,240 --> 00:02:00,420 It would require a little bit more investigation. 22 00:02:00,680 --> 00:02:06,990 But that is something that we could easily fix so that the experience of people coming to our side for 23 00:02:06,990 --> 00:02:13,550 the first time is better and that we are really getting them to interact with our side further. 24 00:02:13,560 --> 00:02:17,340 Now let's move on to the old pages report. 25 00:02:17,570 --> 00:02:24,470 Now this shows us not only are landing pages but all of the pages on our Web site and a great way to 26 00:02:24,470 --> 00:02:31,520 assess the performance of these pages is to look once again at the site comparison tool. 27 00:02:31,640 --> 00:02:35,830 But this time to look at the average time on page. 28 00:02:36,110 --> 00:02:41,990 And this would really tell us where our Web site visitors are spending most of their time. 29 00:02:42,200 --> 00:02:48,300 Now we will differ if it's an e-commerce site or a content site like a blog. 30 00:02:48,680 --> 00:02:56,700 But really here we can see that they're spending more time in this Baskett page and it's 72 percent 31 00:02:56,700 --> 00:03:00,350 higher than the average for other pages on the Web site. 32 00:03:00,630 --> 00:03:06,090 So what we might like to do in this case is have a look at that page and see how we could speed up the 33 00:03:06,090 --> 00:03:06,980 process. 34 00:03:07,050 --> 00:03:10,110 So they moved to that order completed page. 35 00:03:10,380 --> 00:03:16,520 If this were a blog post we might say well they're spending a lot more time on this page. 36 00:03:16,560 --> 00:03:22,080 That means they're spending more time reading it and perhaps we could create more content like that 37 00:03:22,530 --> 00:03:27,330 in order to keep them on the site longer or to continue reading. 38 00:03:27,330 --> 00:03:33,870 Now let's move on to our final report which is the exit pages report and this will really show us where 39 00:03:34,140 --> 00:03:41,820 our Web site visitors are leaving our site and we really want to get visitors to stay on the site longer 40 00:03:42,090 --> 00:03:43,720 and maybe complete that order. 41 00:03:43,830 --> 00:03:48,940 So we want to plug these gaps so that the they have a better experience. 42 00:03:49,320 --> 00:03:55,740 And once again we can use the same side comparison too and this time we can look at the percentage of 43 00:03:55,860 --> 00:04:01,430 exits so we can see which pages are responsible for more exits. 44 00:04:01,560 --> 00:04:05,940 And once again we're looking for those pages that are higher than the site average. 45 00:04:06,150 --> 00:04:11,830 So we could look at these sites or these pages and really look to improve these. 46 00:04:11,830 --> 00:04:13,150 Now order completed. 47 00:04:13,240 --> 00:04:18,610 It's probably very natural that they would leave the site after completing an order but maybe for this 48 00:04:18,610 --> 00:04:20,380 page that could be improved. 49 00:04:20,680 --> 00:04:26,500 And the way that we can really optimize these pages is especially look at these pages that are performing 50 00:04:26,500 --> 00:04:33,220 well that have a much lower percentage of the exits and see what's happening on these pages had they're 51 00:04:33,220 --> 00:04:40,630 laid out and use some of the best practices there apply them to these pages that account for the largest 52 00:04:40,630 --> 00:04:41,850 amount of exits. 53 00:04:42,100 --> 00:04:47,770 And then we can reduce people exiting our side and once again guide them towards those girls that we 54 00:04:47,770 --> 00:04:49,990 want them to complete. 55 00:04:49,990 --> 00:04:56,380 So as you can see the behavior reports in Google Analytics can give you a ton of information about how 56 00:04:56,380 --> 00:05:03,520 users are interacting with your site and it gives you plenty of insights into things you can do to optimize 57 00:05:03,520 --> 00:05:09,060 that experience and guide them towards completing the goals that you want them to complete.