1 00:00:00,330 --> 00:00:11,760 So now on this surreal project, we have discovered that aiming for higher age and aiming for female 2 00:00:11,760 --> 00:00:17,190 is much better for us and we can continue. 3 00:00:18,350 --> 00:00:20,800 Developing the interests. 4 00:00:21,800 --> 00:00:31,790 So this is sounds quite interesting and please, if you can also train it in your. 5 00:00:33,830 --> 00:00:37,530 Profile, if you can also use it, please. 6 00:00:37,570 --> 00:00:49,880 It will be fantastic that you can train it and you can also do it in your Demel profile or in your account 7 00:00:49,880 --> 00:00:54,320 profile, that that would be really fantastic. 8 00:00:55,660 --> 00:00:59,080 So now we can go for some overview. 9 00:01:00,780 --> 00:01:05,250 And we can see this is quite often that. 10 00:01:08,090 --> 00:01:15,570 This rage is often connected to shoppers and. 11 00:01:17,290 --> 00:01:20,170 What's important here is. 12 00:01:21,340 --> 00:01:22,960 To understand that. 13 00:01:25,000 --> 00:01:29,560 People are really interested in real estate. 14 00:01:31,340 --> 00:01:41,250 So basically, it doesn't give us exactly now what we need for mortgage business, but, for example, 15 00:01:41,250 --> 00:01:41,590 the. 16 00:01:43,100 --> 00:01:55,700 We can see that people that like to buy a house, get a mortgage, they also are really interested in 17 00:01:55,700 --> 00:01:58,220 food and dining, cooking. 18 00:01:59,230 --> 00:02:11,470 And this is quite interesting information for us, but if you imagine more here, you know, for e-commerce 19 00:02:11,470 --> 00:02:20,770 example, you can see that here you can see that you should target a lot for shoppers, technology, 20 00:02:20,770 --> 00:02:24,670 people and lifestyle and luxury shoppers. 21 00:02:26,050 --> 00:02:33,380 And so we can go more in-depth into the affinity categories. 22 00:02:35,200 --> 00:02:39,760 And this is quite amazing because you can see that. 23 00:02:41,710 --> 00:02:51,070 This is the challenge always with Facebook ads targeting, as I was showing you many times on a real 24 00:02:51,070 --> 00:02:52,100 case studies. 25 00:02:52,900 --> 00:03:00,280 Now you really need to understand who is your customer and how does he think? 26 00:03:01,060 --> 00:03:06,370 And for example, I can discover that people who likes shopping. 27 00:03:07,770 --> 00:03:16,680 Are also these people that might consider the mortgage, so I can see that. 28 00:03:17,600 --> 00:03:26,960 This shopper's value, shoppers said they have made seven conversions out of eight and this is quite 29 00:03:26,960 --> 00:03:39,470 important information for me and I can see it's all connected to the thirty 35 to 44 or 25 to thirty 30 00:03:39,470 --> 00:03:39,980 four. 31 00:03:41,090 --> 00:03:50,240 And if I go now in the market segments, I can again see that, of course, business analysts, real 32 00:03:50,240 --> 00:04:00,290 estate employment, travelling by thousands of people seeking a partner are those who might consider 33 00:04:00,290 --> 00:04:01,310 their mortgage. 34 00:04:02,930 --> 00:04:13,220 So this is quite interesting that when we go to the Facebook, to the business, why don't we check 35 00:04:13,220 --> 00:04:16,160 it and we can see. 36 00:04:17,080 --> 00:04:17,620 Our. 37 00:04:19,170 --> 00:04:20,850 Project itself. 38 00:04:21,930 --> 00:04:24,480 So we can see that. 39 00:04:25,900 --> 00:04:30,820 Now, when we use the targeting, give me a while, this is. 40 00:04:31,780 --> 00:04:39,880 Interesting and we check how do we target and how do we work when it. 41 00:04:41,200 --> 00:04:47,220 We can see that we are quite right about the targeting itself. 42 00:04:48,490 --> 00:05:00,430 All about luxury and like family apartment, real estate, that's always correct, but Michelle, definitely 43 00:05:01,000 --> 00:05:02,770 and you're also shopping. 44 00:05:05,010 --> 00:05:09,180 And we should definitely include in luxury shopping. 45 00:05:11,820 --> 00:05:14,610 And shoppers that are. 46 00:05:18,920 --> 00:05:20,480 Engage shoppers. 47 00:05:26,180 --> 00:05:32,660 Engaged shoppers and also people interesting in luxury. 48 00:05:33,510 --> 00:05:46,290 And the luxury Barreca lifestyle all connected to luxury because they can afford to have a real estate 49 00:05:47,280 --> 00:05:54,890 and this is this is good information, you know, that has given us the. 50 00:05:58,960 --> 00:06:02,620 And analytics, and we can just update. 51 00:06:04,300 --> 00:06:15,520 And we can improve our targeting because we have right now discovered that this kind of targeting will 52 00:06:15,520 --> 00:06:16,990 help us to. 53 00:06:18,010 --> 00:06:22,510 Improve the targeting through Facebook ads. 54 00:06:23,800 --> 00:06:34,540 I will not change the age that I do later, but it's quite interesting, this discovery, and I must 55 00:06:34,540 --> 00:06:42,090 say also food and drink and cooking might be really useful for us. 56 00:06:43,300 --> 00:06:46,930 So I will not change it now. 57 00:06:46,930 --> 00:06:53,620 But I might try also to add this old. 58 00:06:55,280 --> 00:07:00,020 To get it may be dining is better because. 59 00:07:01,920 --> 00:07:08,310 It's like people who dining out in all sorts of people can. 60 00:07:10,340 --> 00:07:13,640 A fourth dining out who has the money? 61 00:07:14,140 --> 00:07:19,610 I think this is a good category and good kind of targeting the. 62 00:07:20,700 --> 00:07:25,290 Can help us to improve our targeting for Facebook. 63 00:07:27,180 --> 00:07:29,970 Then so you can work with interest. 64 00:07:31,370 --> 00:07:40,910 Language, this is quite important to us, you can see that we can also hit some Russian people, but 65 00:07:40,910 --> 00:07:49,580 we can see we have been successful with English language, getting some international investor Slovak 66 00:07:49,580 --> 00:07:54,550 language or Korean Eiman, not really Russian. 67 00:07:55,250 --> 00:07:59,270 So it's good that being target four for more languages. 68 00:08:00,290 --> 00:08:07,400 And if we go for a location that was quite good for us because. 69 00:08:08,460 --> 00:08:21,120 If you analyze it, you can see that the best performing is definitely Perak, if I see it from some 70 00:08:21,120 --> 00:08:33,120 long term saw, maybe from the 1st of October until now, and we can evaluate it and get some more deeper 71 00:08:33,120 --> 00:08:34,020 insights. 72 00:08:35,010 --> 00:08:43,800 You can see that we had been also trying this region, but definitely for mortgage business, real estate 73 00:08:43,800 --> 00:08:53,580 business, Prak is the best and is definitely giving the best needs, the best conversions and the value, 74 00:08:53,580 --> 00:08:57,270 the revenue of potential needs is the best here.