Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,240 --> 00:00:03,930 Now the last thing you want to talk about in this section before we get on the exciting subject are 2 00:00:04,020 --> 00:00:05,940 actually driving traffic to your store. 3 00:00:06,150 --> 00:00:07,690 Is fraud analysis. 4 00:00:07,710 --> 00:00:12,890 Now you remember that I took the full Shopify package so I could basically show you this. 5 00:00:13,050 --> 00:00:16,970 Now before we get into it fraud analysis is not a big deal. 6 00:00:16,970 --> 00:00:17,940 I don't want to get worried. 7 00:00:17,950 --> 00:00:20,530 It's going to be an awful lot of fraud on your store. 8 00:00:20,700 --> 00:00:21,510 Will it happen. 9 00:00:21,510 --> 00:00:22,280 Probably. 10 00:00:22,320 --> 00:00:26,730 I've been doing this for a long long time and I would estimate that less than 1 percent the orders that 11 00:00:26,730 --> 00:00:31,300 I receive are basically suspect and I may end up ultimately losing money. 12 00:00:31,380 --> 00:00:35,490 But you know that's business if you're running a physical store you have to worry about things like 13 00:00:35,670 --> 00:00:38,170 shoplifting or indeed stolen credit card. 14 00:00:38,170 --> 00:00:40,440 So this is just the way it goes in business. 15 00:00:40,450 --> 00:00:43,800 But less than 1 percent is really not a big deal. 16 00:00:43,980 --> 00:00:48,950 But what's nice with Shopify is that you do get this for analysis tool so I'm here on the order that 17 00:00:48,960 --> 00:00:54,540 I made as part of my test order and if I scroll down I get this section here fraud analysis. 18 00:00:54,540 --> 00:00:57,870 Now if you got the normal Shopify package you won't see this. 19 00:00:57,870 --> 00:01:04,920 So what is done is it's use some sort of algorithm to try to understand whether this order is fraudulent 20 00:01:04,980 --> 00:01:05,670 or not. 21 00:01:05,670 --> 00:01:10,920 So it's got a low medium high is give me a low I would hope so because it was me and then it has the 22 00:01:10,920 --> 00:01:15,390 characteristics of this order are similar to nonfood orders orders observed in the past. 23 00:01:15,390 --> 00:01:16,500 There were two payment attempts. 24 00:01:16,530 --> 00:01:16,860 OK. 25 00:01:16,890 --> 00:01:17,670 Fair enough. 26 00:01:17,670 --> 00:01:21,150 I can then view the full analysis. 27 00:01:21,210 --> 00:01:26,450 Now here I get all kinds of stuff that might help determine whether this was a fraudulent payment. 28 00:01:26,460 --> 00:01:30,780 An interesting one here is that the shipping address is eight thousand one hundred sixty nine kilometers 29 00:01:30,840 --> 00:01:32,870 from the location of the IP. 30 00:01:32,910 --> 00:01:37,830 So you remember basically with that customer information I actually put in somebody in Anchorage just 31 00:01:37,890 --> 00:01:38,310 as a test. 32 00:01:38,340 --> 00:01:42,440 Anchorage Alaska a long long way from me but it picked that up. 33 00:01:42,530 --> 00:01:43,020 OK. 34 00:01:43,080 --> 00:01:47,940 Again here the billing address is Lister's United States but the order was placed from France. 35 00:01:47,940 --> 00:01:50,100 Now those are particularly alarming things. 36 00:01:50,100 --> 00:01:53,640 You know that happens all the time with people buying stuff that might be in one place and shipping 37 00:01:53,640 --> 00:01:54,490 to somewhere else. 38 00:01:54,510 --> 00:01:57,690 But nevertheless it has flagged that as a little red dot. 39 00:01:57,840 --> 00:02:03,190 But overall it has decided that I am a low risk and therefore nothing to worry about. 40 00:02:03,420 --> 00:02:09,990 Now if I come out of here as orders come in you may see some medium and you may very very occasionally 41 00:02:10,020 --> 00:02:11,370 see some high. 42 00:02:11,400 --> 00:02:15,840 And if that happens I encourage you to click on the full analysis and decide whether you want to accept 43 00:02:15,840 --> 00:02:18,900 that payment or not before you ship the order. 44 00:02:18,900 --> 00:02:24,090 Now I know I'm saying the same thing over and over again but this is a very rare event so please don't 45 00:02:24,090 --> 00:02:26,250 get obsessed with it by any stretch. 46 00:02:26,250 --> 00:02:30,240 Now the other thing to bear in mind is if you don't have the full Shopify package and therefore this 47 00:02:30,270 --> 00:02:37,380 fraud analysis is not available you can rest assured that your pain provider will also be looking at 48 00:02:37,380 --> 00:02:39,360 some sort of fraud analysis. 49 00:02:39,360 --> 00:02:45,420 So if you with Strype you with PayPal or indeed any of the others they will also have well built in 50 00:02:45,510 --> 00:02:47,380 fraud analysis systems. 51 00:02:47,490 --> 00:02:54,000 If you think about it it's in their interest because they take a fee for a successful order and if later 52 00:02:54,000 --> 00:02:59,070 on it turns out that it wasn't a successful order and has to be refunded that potentially they lose 53 00:02:59,070 --> 00:02:59,850 their fee. 54 00:03:00,000 --> 00:03:04,830 So it's very much in their interest to make sure that the orders are going through their systems are 55 00:03:04,890 --> 00:03:06,780 all good. 56 00:03:06,780 --> 00:03:07,320 So there we go. 57 00:03:07,320 --> 00:03:12,390 That's the for analysis tool provided by Shopify and it's just something to keep an eye on from time 58 00:03:12,420 --> 00:03:13,100 to time. 5937