1 00:00:01,060 --> 00:00:05,140 In this video you're going to learn how to improve the performance of your campaign. 2 00:00:05,160 --> 00:00:11,310 And the key way to do this is to really look at the reports and information inside of your odds manager 3 00:00:11,340 --> 00:00:11,950 here. 4 00:00:12,150 --> 00:00:18,060 When you log in now what you want to do is start asking some questions and digging into the reports 5 00:00:18,270 --> 00:00:21,530 and pulling those valuable insights out of them. 6 00:00:21,540 --> 00:00:28,860 So one place that you can really start is try to understand which assets or which is really drove the 7 00:00:28,860 --> 00:00:30,810 results for your campaign. 8 00:00:30,810 --> 00:00:38,880 So as you can see here I got nine real results or Lane clicks from my campaign which is not yet finished 9 00:00:39,390 --> 00:00:43,720 but that was the objective of my campaign to get clicks to get clicks to Web site. 10 00:00:43,890 --> 00:00:51,480 I can see that in total I got nine here what I want to understand is which of the onsets audience drove 11 00:00:51,480 --> 00:00:56,770 those links clicks on which of the ads that I created drove those little clicks. 12 00:00:56,940 --> 00:01:00,550 So to do that I can just come down two sets here. 13 00:01:00,720 --> 00:01:08,940 And I was I only created one on set for the side all of them have been driven by this U.S. male 25 34. 14 00:01:09,180 --> 00:01:15,120 But if you had a number of sets and hear different audiences different countries different genders etc. 15 00:01:15,690 --> 00:01:19,150 you would see which set performed the best. 16 00:01:19,180 --> 00:01:26,400 Coming then again I can look at which actually drove those results nine clicks in total all of them 17 00:01:26,400 --> 00:01:28,020 were driven by this one. 18 00:01:28,060 --> 00:01:31,120 And here even though I had tested two. 19 00:01:31,200 --> 00:01:36,050 So the takeaway for me here is that this image performed a lot a lot better. 20 00:01:36,060 --> 00:01:38,870 It delivered all of the results for this campaign. 21 00:01:38,870 --> 00:01:45,840 So going forward if I decided to continue with this campaign I could kill this image or really test 22 00:01:45,960 --> 00:01:49,080 some other images in there as well. 23 00:01:49,080 --> 00:01:54,980 So that is a great place to get started in terms of looking at the results from the top level here and 24 00:01:54,990 --> 00:02:01,200 your campaign start to look at which assets are which ads really drove those results. 25 00:02:01,200 --> 00:02:03,370 Now if you want to dig deeper. 26 00:02:03,440 --> 00:02:09,360 A great thing that you can come across to break down here and essentially you're trying to understand 27 00:02:09,360 --> 00:02:15,510 the same thing get down then look at the reports and pinpoint what was the actual variables that drove 28 00:02:15,510 --> 00:02:16,650 the result. 29 00:02:16,650 --> 00:02:24,550 So for example if I click by delivery here I can see what age and gender really drove the results. 30 00:02:24,600 --> 00:02:32,220 If I had those varied one in my answer I could see in terms of placement whether the Facebook news feed 31 00:02:32,460 --> 00:02:38,880 Instagram News Feed the right hand column really drove those little clicks I can even see the time of 32 00:02:38,880 --> 00:02:44,220 day for the viewers frame timeframe that really drove those results. 33 00:02:44,220 --> 00:02:45,970 I can see those broken down. 34 00:02:46,020 --> 00:02:51,960 So what all of that information what I'm trying to find is what really worked on for a future campaign 35 00:02:52,080 --> 00:02:59,100 really refine it build in more of those factors and targeting options to really get better results next 36 00:02:59,100 --> 00:03:00,490 time around. 37 00:03:00,870 --> 00:03:05,810 You can go through these yourself and really even look at all of the different options here. 38 00:03:05,870 --> 00:03:10,830 And if you want to clear them at any stage you can just click on clear all breakdance. 39 00:03:10,920 --> 00:03:14,990 Now a key thing that you probably want to focus on is the cost per result. 40 00:03:15,000 --> 00:03:20,790 That's what you're trying to reduce when you look at the outset and odds that that really worked. 41 00:03:20,850 --> 00:03:26,500 And also that if it factors in the Breynton here but in terms of the cost per result. 42 00:03:26,620 --> 00:03:28,690 In my case the cost per click. 43 00:03:28,690 --> 00:03:33,790 There are other things that you can do to improve this and some of them are listed right here. 44 00:03:34,000 --> 00:03:41,350 So what affects this metric are things like your auction bid target audience optimization type of creative 45 00:03:41,410 --> 00:03:43,600 messaging and schedule. 46 00:03:43,600 --> 00:03:50,590 So these are all things that you could test going forward in particular in my case what I might do is 47 00:03:50,590 --> 00:03:57,670 instead of using and targeting an audience a cold audience using interest targeting I could start to 48 00:03:58,030 --> 00:04:04,030 target people who've maybe already visited my web site who are on my email list and I'm probably going 49 00:04:04,030 --> 00:04:07,890 to get much better results on a lower cost per result. 50 00:04:08,170 --> 00:04:09,840 So that's a key takeaway for me. 51 00:04:09,990 --> 00:04:11,930 I've tested this with a cold audience. 52 00:04:11,960 --> 00:04:17,770 Maybe I can start to test it with a more warmer audience who are already familiar with my brand and 53 00:04:17,770 --> 00:04:25,280 in general those type audience has to perform a lot better and result in a much lower cost per result. 54 00:04:25,270 --> 00:04:32,050 So you know how to analyze your reports to improve the performance your odds go ahead and have a look 55 00:04:32,050 --> 00:04:32,630 at them. 56 00:04:32,830 --> 00:04:36,240 Following the exact same steps we've covered in this video.