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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,560 --> 00:00:03,440 So how do you influence your KPIs 2 00:00:03,440 --> 00:00:06,240 if you can't control them?In this video, 3 00:00:06,240 --> 00:00:08,720 I'm going to show you how the 4 00:00:08,800 --> 00:00:11,600 makeup of your key metrics is 5 00:00:11,600 --> 00:00:14,080 made and how you actually go about 6 00:00:14,080 --> 00:00:16,960 influencing them. So first of all, 7 00:00:17,120 --> 00:00:19,440 most people will be looking at cost per 8 00:00:19,440 --> 00:00:22,160 acquisition. What is the makeup 9 00:00:22,240 --> 00:00:24,560 of cost per acquisition?There are only 10 00:00:24,560 --> 00:00:26,720 two components that are used in the 11 00:00:26,720 --> 00:00:28,720 calculation of cost per acquisition 12 00:00:29,120 --> 00:00:31,360 really at the kind of influence influence 13 00:00:31,360 --> 00:00:33,920 level. It's the cost you're paying per 14 00:00:33,920 --> 00:00:36,480 click and the conversion rate. 15 00:00:36,960 --> 00:00:38,360 So just think about that. There's just 16 00:00:38,360 --> 00:00:40,800 two metrics which actually come in play 17 00:00:41,040 --> 00:00:42,720 when it comes to calculating your cost 18 00:00:42,720 --> 00:00:45,240 per acquisition. So the calculation here 19 00:00:45,240 --> 00:00:46,520 as you can see on the example on the 20 00:00:46,520 --> 00:00:48,640 right is your cost per click. 21 00:00:48,880 --> 00:00:51,400 Divided by the absolute number for your 22 00:00:51,400 --> 00:00:53,760 conversion rate. So in this case if our 23 00:00:53,760 --> 00:00:55,680 click cost per click is 2 lbs and three 24 00:00:55,680 --> 00:00:57,960 pence then I would do the 25 00:00:57,960 --> 00:00:59,520 calculation 2.03 26 00:01:00,720 --> 00:01:03,440 divided by the 6% as absolute so 27 00:01:03,920 --> 00:01:06,880 0.06 gives me my CPA and in this 28 00:01:06,880 --> 00:01:09,600 example the CPA is 34 lbs 29 00:01:10,400 --> 00:01:13,160 and. When you kind of understand the 30 00:01:13,160 --> 00:01:16,000 core of these two metrics and how 31 00:01:16,000 --> 00:01:18,400 they come to play in your CPA, you can 32 00:01:18,400 --> 00:01:20,640 better understand how you can improve 33 00:01:20,640 --> 00:01:22,240 your cost per acquisition. And this is 34 00:01:22,240 --> 00:01:24,480 what it's all about, knowing how to 35 00:01:24,480 --> 00:01:26,160 actually go deeper and influence your 36 00:01:26,160 --> 00:01:28,680 cost per acquisition. So within this kind 37 00:01:28,680 --> 00:01:31,520 of equilibrium. We can drop, we can try 38 00:01:31,520 --> 00:01:33,600 and drop our cost per click. We can try 39 00:01:33,600 --> 00:01:35,360 and increase our conversion rate and 40 00:01:35,360 --> 00:01:37,200 ideally we want to do both of these at 41 00:01:37,200 --> 00:01:39,840 the same time. So what is the makeup 42 00:01:39,840 --> 00:01:42,440 of your cost per click?It's relevance 43 00:01:42,440 --> 00:01:45,360 score. It's the competition in 44 00:01:45,360 --> 00:01:48,320 the auction and competitors. It's 45 00:01:48,320 --> 00:01:50,680 your bidding strategy. It's the 46 00:01:50,800 --> 00:01:53,440 optimised pixel that you're using in your 47 00:01:53,440 --> 00:01:55,440 website conversion. Objective, for 48 00:01:55,440 --> 00:01:57,960 example, it's the audience size and 49 00:01:57,960 --> 00:01:59,960 whether you're reaching the 50 00:02:00,960 --> 00:02:02,880 bulk of people or or if there's still 51 00:02:02,880 --> 00:02:04,880 lots of people to be reached, the 52 00:02:04,880 --> 00:02:07,040 frequency of your ads and how satisfied 53 00:02:07,040 --> 00:02:08,400 people are with your ads and how much 54 00:02:08,400 --> 00:02:10,760 they're interacting, the objective that 55 00:02:10,760 --> 00:02:12,200 you're actually playing with. So the cost 56 00:02:12,200 --> 00:02:14,480 per click for a page post engagement ad 57 00:02:14,880 --> 00:02:17,320 will generally always be cheaper than a 58 00:02:17,320 --> 00:02:20,160 website conversion ad, and also 59 00:02:20,160 --> 00:02:22,400 the campaign funnel and how you've 60 00:02:22,400 --> 00:02:24,960 actually built that out. Going back to 61 00:02:25,120 --> 00:02:27,720 the funnel section of the training and 62 00:02:27,760 --> 00:02:29,840 thinking about have I actually bought 63 00:02:29,840 --> 00:02:31,520 people through the journey or not as 64 00:02:31,520 --> 00:02:33,600 well. So that that's just a kind of 65 00:02:33,600 --> 00:02:35,920 insight in influencing cost per click. 66 00:02:36,400 --> 00:02:38,040 And then you have conversion rate on the 67 00:02:38,040 --> 00:02:40,520 other side. So what influences that?One 68 00:02:40,520 --> 00:02:42,480 of the major influences is actually 69 00:02:42,480 --> 00:02:45,400 traffic quality. Now the 70 00:02:45,440 --> 00:02:48,080 game isn't just about getting the lowest 71 00:02:48,080 --> 00:02:50,160 cost per click, it's getting the best 72 00:02:50,160 --> 00:02:52,800 value click. that you can get. Best 73 00:02:52,800 --> 00:02:55,560 value means that you want the best 74 00:02:55,560 --> 00:02:58,320 customer at the best price. Sometimes you 75 00:02:58,320 --> 00:03:00,560 might get a higher cost per click but the 76 00:03:00,560 --> 00:03:02,160 quality is better and therefore they 77 00:03:02,160 --> 00:03:03,720 convert better as well. So traffic 78 00:03:03,720 --> 00:03:06,600 quality plays a big part in your site 79 00:03:06,600 --> 00:03:08,640 conversion rate. Then it's things like 80 00:03:08,640 --> 00:03:11,360 the offer and the hook. What's in your ad 81 00:03:11,360 --> 00:03:13,280 that's going to entice them to go ahead 82 00:03:13,280 --> 00:03:15,880 and convert on your site. So if you're 83 00:03:15,880 --> 00:03:18,720 pushing a general product and it's 84 00:03:18,720 --> 00:03:20,200 more of a kind of yeah I'm going to have 85 00:03:20,200 --> 00:03:22,200 a look at this this productOf interest. 86 00:03:22,560 --> 00:03:25,040 People click into your site, your product 87 00:03:25,040 --> 00:03:26,880 page is quite passive, it's not really 88 00:03:26,880 --> 00:03:29,200 trying to sell them or not doing a hard 89 00:03:29,200 --> 00:03:31,040 enough job to sell them. Then you're 90 00:03:31,040 --> 00:03:33,520 gonna struggle to convert as well. So 91 00:03:33,920 --> 00:03:36,240 the offer and hook starts in the ad and 92 00:03:36,480 --> 00:03:38,160 then it's carried through on your landing 93 00:03:38,160 --> 00:03:40,560 page as well. So a lot of people who run 94 00:03:40,720 --> 00:03:42,720 Shopify or a Magento site. 95 00:03:43,320 --> 00:03:45,600 Send traffic into a category page or a 96 00:03:45,600 --> 00:03:47,720 product page. And these systems are 97 00:03:47,720 --> 00:03:50,160 really limited in the way that they can 98 00:03:50,160 --> 00:03:52,640 present back a product and a proposition. 99 00:03:53,040 --> 00:03:55,840 Some of the best converting funnels take 100 00:03:55,840 --> 00:03:58,040 an ad to a landing page and actually 101 00:03:58,040 --> 00:04:00,560 expand out on the product or 102 00:04:00,560 --> 00:04:03,520 proposition and convert that prospect 103 00:04:03,520 --> 00:04:05,600 far better than a standard product page. 104 00:04:05,920 --> 00:04:08,560 And so when I'm doing e-comm testing, if 105 00:04:08,800 --> 00:04:10,520 have a product that's performing really 106 00:04:10,520 --> 00:04:12,640 well and maybe we're testing it with a 107 00:04:12,640 --> 00:04:15,200 standard product. Page. Once we know that 108 00:04:15,200 --> 00:04:17,840 the product is getting traction in 109 00:04:18,480 --> 00:04:21,120 our ads, then I will want to build out a 110 00:04:21,120 --> 00:04:23,600 dedicated landing page for that product 111 00:04:23,600 --> 00:04:26,160 or that range of products and work a lot 112 00:04:26,160 --> 00:04:28,400 harder on a sales page to get people to 113 00:04:28,400 --> 00:04:30,560 convert on that product. Just absolutely 114 00:04:30,560 --> 00:04:32,840 focus in on that product and get them to 115 00:04:32,840 --> 00:04:34,720 transact as well. So that's really where 116 00:04:34,720 --> 00:04:37,160 the landing page comes in. And then your 117 00:04:37,160 --> 00:04:39,760 product conversion rate. So tracking how 118 00:04:39,760 --> 00:04:41,280 many people are converting from your 119 00:04:41,280 --> 00:04:43,640 product page and actually adding to cart 120 00:04:43,640 --> 00:04:45,520 is another big part of conversion rate 121 00:04:45,520 --> 00:04:47,520 optimization. In my 122 00:04:48,480 --> 00:04:51,200 10-15 years in marketing, I've spent a 123 00:04:51,200 --> 00:04:53,920 lot of time on analyzing conversion rate 124 00:04:53,920 --> 00:04:56,720 optimization. And one of the big 125 00:04:56,720 --> 00:04:58,280 mistakes people make here is to try and 126 00:04:58,280 --> 00:05:00,040 influence this big number. So if your 127 00:05:00,040 --> 00:05:02,480 site's converting at 6%, how do you get 128 00:05:02,480 --> 00:05:05,000 that to 7, 8, 9%?You look at the 129 00:05:05,280 --> 00:05:07,920 micro conversions through your funnel. So 130 00:05:08,160 --> 00:05:10,400 how do I get more people from my landing 131 00:05:10,400 --> 00:05:13,120 page to my product page, my product page 132 00:05:13,120 --> 00:05:15,920 to my cart page, my cart page to go 133 00:05:15,920 --> 00:05:18,400 ahead and purchasing and then within that 134 00:05:18,400 --> 00:05:21,120 you go to your. Kind of really micro 135 00:05:21,120 --> 00:05:24,080 level conversions within the page itself. 136 00:05:24,080 --> 00:05:26,480 So how do I get someone 137 00:05:26,800 --> 00:05:28,880 who's visiting the page to Scroll down, 138 00:05:28,880 --> 00:05:30,600 look at the key info, add the item to 139 00:05:30,600 --> 00:05:32,960 their basket and then you start thinking 140 00:05:32,960 --> 00:05:35,200 about small tests that you can apply to 141 00:05:35,200 --> 00:05:37,880 influence that conversion rate. So. You 142 00:05:37,880 --> 00:05:38,960 know, when you look at cost per 143 00:05:38,960 --> 00:05:40,360 acquisition and you want to influence 144 00:05:40,360 --> 00:05:42,640 that number, do understand that there's 145 00:05:42,640 --> 00:05:44,880 different strategies and tactics that 146 00:05:44,880 --> 00:05:47,280 come in play. So as a Facebook ads 147 00:05:47,280 --> 00:05:49,680 marketer, you absolutely need to know 148 00:05:50,000 --> 00:05:52,160 about conversion rate optimization and 149 00:05:52,160 --> 00:05:53,680 you need to know how to get your cost per 150 00:05:53,680 --> 00:05:55,040 click down or at least get the high 151 00:05:55,040 --> 00:05:55,920 quality customer. 152 00:05:59,360 --> 00:06:01,120 And especially if you're running an ecom 153 00:06:01,120 --> 00:06:03,600 store, if you're doing it yourself, it's 154 00:06:03,600 --> 00:06:05,840 actually a big burden to be able to do 155 00:06:05,840 --> 00:06:08,080 both. And there are tools out there, 156 00:06:08,400 --> 00:06:09,560 especially on the conversion rate 157 00:06:09,560 --> 00:06:12,280 optimization site. For example, Visual 158 00:06:12,280 --> 00:06:14,720 Website Optimizer, a pretty quick tool to 159 00:06:14,720 --> 00:06:16,880 go and plug and play. It will allow you 160 00:06:16,880 --> 00:06:19,680 to do AB testing on your site. Or even 161 00:06:19,680 --> 00:06:21,520 with landing pages, there's tools like 162 00:06:21,520 --> 00:06:24,080 Unbounce, Leadpages, Instapage, 163 00:06:24,400 --> 00:06:26,400 Clickfunnels that allow you to just 164 00:06:26,400 --> 00:06:28,680 create really quick landing pages and 165 00:06:28,680 --> 00:06:31,200 start testing those as well. Combining 166 00:06:31,200 --> 00:06:32,760 that with something like Visual Website 167 00:06:32,760 --> 00:06:35,680 Optimizer, you could take a single ad and 168 00:06:35,680 --> 00:06:37,440 then split that into two landing pages 169 00:06:37,440 --> 00:06:39,600 and see which one performs best. Or you 170 00:06:39,600 --> 00:06:42,320 can take two identical ads in your ad 171 00:06:42,320 --> 00:06:44,960 set and give them their own. Landing 172 00:06:44,960 --> 00:06:47,440 pages to test it that way as well. If you 173 00:06:47,440 --> 00:06:49,200 are going to take that route, then the 174 00:06:49,200 --> 00:06:51,520 best thing to do is to split your ad set 175 00:06:51,760 --> 00:06:54,080 in half. So you'd make a duplicate of 176 00:06:54,080 --> 00:06:56,960 your ad set and run one ad in one and run 177 00:06:56,960 --> 00:06:59,520 one ad in the other. Or you use the 178 00:06:59,520 --> 00:07:02,400 Facebook split test tool 179 00:07:02,840 --> 00:07:04,760 which allows you to take an audience and 180 00:07:04,760 --> 00:07:07,160 split it in half completely, which is the 181 00:07:07,160 --> 00:07:09,160 more scientific way of testing. So you 182 00:07:09,160 --> 00:07:11,600 can take an audience, cut it in 50, 183 00:07:12,080 --> 00:07:14,800 cut it in 50% each. And Facebook will 184 00:07:14,920 --> 00:07:17,600 ensure that 1/2 of the audience will 185 00:07:17,600 --> 00:07:19,160 only ever see one creative that you're 186 00:07:19,160 --> 00:07:21,040 running in one ad set and the other half 187 00:07:21,040 --> 00:07:23,520 will only only ever see the ad in the 188 00:07:23,520 --> 00:07:25,360 other ad set. It's a cleaner way of AB 189 00:07:25,360 --> 00:07:26,560 testing when you want to test with the 190 00:07:26,560 --> 00:07:28,440 audiences. But that's something to bear 191 00:07:28,440 --> 00:07:30,360 in mind when you are doing your testing 192 00:07:30,360 --> 00:07:32,080 is thinking about how you want to do your 193 00:07:32,080 --> 00:07:34,720 split testing as well. One big, big 194 00:07:34,720 --> 00:07:36,560 caveat to bear in mind when you're doing 195 00:07:36,720 --> 00:07:38,480 conversion rate testing on your website 196 00:07:38,720 --> 00:07:41,000 is that the Facebook algorithm is super, 197 00:07:41,000 --> 00:07:43,600 super sensitive to change in performance. 198 00:07:44,120 --> 00:07:46,560 So let's say you've got a really, really 199 00:07:46,560 --> 00:07:49,240 good performing ad set and you have a 200 00:07:49,240 --> 00:07:50,760 separate team doing conversion rate 201 00:07:50,760 --> 00:07:52,400 optimization or a separate person on the 202 00:07:52,400 --> 00:07:54,880 site and that person takes your really, 203 00:07:54,880 --> 00:07:57,120 really good landing page and starts A/B 204 00:07:57,120 --> 00:07:59,120 testing that with or without your 205 00:07:59,120 --> 00:08:01,840 knowledge. Now, if you end up 206 00:08:01,840 --> 00:08:04,120 splitting the traffic 50/50 from your 207 00:08:04,120 --> 00:08:07,040 really, really good ad set, what 208 00:08:07,040 --> 00:08:10,000 can happen isThat 209 00:08:10,000 --> 00:08:11,560 50% of your traffic goes to a bad 210 00:08:11,560 --> 00:08:13,920 performing ad set. The data that goes 211 00:08:13,920 --> 00:08:16,720 back to Facebook is therefore not as good 212 00:08:16,720 --> 00:08:19,680 as it was before. Facebook sees a drop in 213 00:08:19,680 --> 00:08:21,600 conversion rate and the algorithm starts 214 00:08:21,600 --> 00:08:23,920 to change its targeting. This is a 215 00:08:23,920 --> 00:08:26,640 disaster because when you're 216 00:08:26,640 --> 00:08:28,720 doing a B testing on the site, you're 217 00:08:28,800 --> 00:08:30,640 obviously controlling it. So you know 218 00:08:30,640 --> 00:08:33,160 that for example, if conversion is bad on 219 00:08:33,160 --> 00:08:34,560 a variant, you're going to pause it. 220 00:08:34,560 --> 00:08:35,840 You're not going to continue working with 221 00:08:35,840 --> 00:08:38,280 that, but Facebook doesn't know it as far 222 00:08:38,280 --> 00:08:39,800 as Facebook is. concerned, all of a 223 00:08:39,800 --> 00:08:42,120 sudden, you know you're spending 2 pound 224 00:08:42,120 --> 00:08:44,080 per click or whatever it is, and your 225 00:08:44,240 --> 00:08:46,800 site conversion has dropped from 6% to 4% 226 00:08:46,840 --> 00:08:49,280 or even 3% in that day, Facebook 227 00:08:49,280 --> 00:08:51,680 thinks that it's the problem. It will 228 00:08:51,680 --> 00:08:53,280 then try and find better quality 229 00:08:53,280 --> 00:08:56,080 customers having no knowledge whatsoever 230 00:08:56,080 --> 00:08:57,880 that you've actually been testing on the 231 00:08:57,880 --> 00:09:00,320 website. And it could be that it was 232 00:09:00,320 --> 00:09:02,600 targeting a great subset of your 233 00:09:02,600 --> 00:09:04,480 audience. And all of a sudden the website 234 00:09:04,480 --> 00:09:07,120 changes has made it go ahead and change 235 00:09:07,120 --> 00:09:09,920 its targeting. So that's a real big 236 00:09:10,080 --> 00:09:12,160 gotcha to keep an eye on that when you 237 00:09:12,160 --> 00:09:15,040 are doing a B testing, keep in mind that 238 00:09:15,040 --> 00:09:17,360 any changes in your conversion rate here 239 00:09:17,680 --> 00:09:20,280 will impact the algorithm as well. So 240 00:09:20,280 --> 00:09:23,040 that's a big chunk about CPA 241 00:09:23,040 --> 00:09:25,680 optimization. Then for anyone 242 00:09:25,680 --> 00:09:28,400 doing e-commerce, we were all we will 243 00:09:28,400 --> 00:09:31,120 also be looking at return on ad set. 244 00:09:32,160 --> 00:09:34,880 Ad spend and again in a similar way, 245 00:09:35,200 --> 00:09:37,920 ROAS is made-up of two key metrics, 246 00:09:38,160 --> 00:09:39,840 the cost per acquisition, which we've 247 00:09:39,840 --> 00:09:42,800 already discussed. And the average order 248 00:09:42,800 --> 00:09:45,760 value and again just like with conversion 249 00:09:45,760 --> 00:09:48,240 rate, AOV is completely site dependent. 250 00:09:48,240 --> 00:09:50,640 So one of the challenges here is as 251 00:09:50,640 --> 00:09:53,120 you're developing your ecom proposition, 252 00:09:53,120 --> 00:09:54,400 you're going to be playing around with 253 00:09:54,400 --> 00:09:56,400 offers, bundles, promotions. 254 00:09:57,280 --> 00:09:59,840 And and trying to get people in at 255 00:09:59,840 --> 00:10:01,680 various levels, you know you might be 256 00:10:01,680 --> 00:10:03,560 taking the kind of free free plus 257 00:10:03,560 --> 00:10:06,080 shipping route or using the loss leader 258 00:10:06,240 --> 00:10:08,320 route or you might be trying to get 259 00:10:08,320 --> 00:10:09,920 people in on one category and then 260 00:10:09,960 --> 00:10:12,200 upselling to another or cross selling to 261 00:10:12,200 --> 00:10:15,040 different areas. They all play a big part 262 00:10:15,040 --> 00:10:17,920 in your AOV. So your AOV is made-up 263 00:10:17,920 --> 00:10:20,880 of your price. Now I've done ecomm 264 00:10:20,880 --> 00:10:23,600 testing in the past and I've gotten some 265 00:10:23,680 --> 00:10:26,400 great traction from my ads, brought them 266 00:10:26,400 --> 00:10:28,560 to the site and actually one of the key 267 00:10:28,560 --> 00:10:30,080 key reasons why they haven't converted is 268 00:10:30,080 --> 00:10:32,960 price. For anyone that's running an 269 00:10:32,960 --> 00:10:35,080 e-commerce store, price is all about 270 00:10:35,080 --> 00:10:37,240 testing and finding out what people are 271 00:10:37,240 --> 00:10:39,200 prepared to pay. But it's also about the 272 00:10:39,200 --> 00:10:40,600 presentation of your site, how 273 00:10:40,600 --> 00:10:42,400 trustworthy is it, the social proof, 274 00:10:42,400 --> 00:10:44,560 etcetera. And so they will play a big 275 00:10:44,560 --> 00:10:46,000 part in whether people are actually going 276 00:10:46,000 --> 00:10:48,240 to buy your higher end items or not as 277 00:10:48,240 --> 00:10:50,360 well. And then your promotions, your 278 00:10:50,360 --> 00:10:52,240 upsells, cross sells, your one time 279 00:10:52,640 --> 00:10:55,360 offers through your cart for example. 280 00:10:55,840 --> 00:10:57,360 Now this is something I do want to 281 00:10:57,360 --> 00:11:00,160 highlight if you go back 2-3, 282 00:11:00,160 --> 00:11:02,120 maybe even four years the. 283 00:11:03,120 --> 00:11:05,400 Facebook ecosystem was nowhere near 284 00:11:05,400 --> 00:11:08,080 competitive and as an e-com 285 00:11:08,080 --> 00:11:10,080 advertiser you were able to drive big 286 00:11:10,080 --> 00:11:12,560 profits from Facebook. So going back to 287 00:11:12,560 --> 00:11:14,880 2014 for example, 288 00:11:15,360 --> 00:11:16,680 I I would see 34500% 289 00:11:16,800 --> 00:11:19,760 return on ad spends on 290 00:11:19,760 --> 00:11:22,000 cold audiences and going fairly broad and 291 00:11:22,000 --> 00:11:24,520 niche and it was it was a great time to 292 00:11:24,520 --> 00:11:27,200 be on Facebook nowadays with the rise 293 00:11:27,200 --> 00:11:29,320 in cost per thousand impressions, your 294 00:11:29,320 --> 00:11:31,440 CPM, the rise in the number of 295 00:11:31,440 --> 00:11:34,000 competitors. And also the rise 296 00:11:34,000 --> 00:11:36,920 in lots of kind of e-commerce and 297 00:11:36,920 --> 00:11:39,760 drop ship and things like that and the 298 00:11:39,760 --> 00:11:41,360 kind of challenge with Amazon and eBay, 299 00:11:41,360 --> 00:11:44,160 etc. It's made it even harder to get 300 00:11:45,040 --> 00:11:47,520 the high ROAS return from Facebook cards. 301 00:11:47,840 --> 00:11:50,000 And this is where I absolutely encourage 302 00:11:50,000 --> 00:11:52,880 people to look at. Post purchase 303 00:11:52,960 --> 00:11:55,400 transactions to reduce your cost per 304 00:11:55,400 --> 00:11:57,280 acquisition and increase your return on 305 00:11:57,280 --> 00:11:59,200 ad spend. So there's a few different ways 306 00:11:59,200 --> 00:12:02,080 of doing this. For example, if you bring 307 00:12:02,080 --> 00:12:04,400 people in on a lower priced product 308 00:12:05,040 --> 00:12:07,800 into your purchase funnel, so they go 309 00:12:07,800 --> 00:12:09,480 ahead and purchase let's say a $10 310 00:12:09,480 --> 00:12:11,840 item or a $15 item. 311 00:12:12,400 --> 00:12:14,800 You can then immediately offer them a 312 00:12:14,800 --> 00:12:17,040 kind of one time special exclusive on 313 00:12:17,040 --> 00:12:18,920 your higher end product. Maybe it's a 314 00:12:18,920 --> 00:12:21,840 506070 dollar item, reduce it 315 00:12:21,840 --> 00:12:24,800 down to 25, maybe 30% off and say 316 00:12:24,800 --> 00:12:27,200 look. Today only we have this special 317 00:12:27,200 --> 00:12:29,120 offer. If you're interested, you can buy 318 00:12:29,120 --> 00:12:32,080 it now and save X percent. If you can 319 00:12:32,080 --> 00:12:33,840 get the product and pitch and kind of 320 00:12:33,840 --> 00:12:36,000 relevance to that product right, it's a 321 00:12:36,000 --> 00:12:38,160 great opportunity to get a second sailing 322 00:12:38,160 --> 00:12:40,360 quickly and bulk up your average order 323 00:12:40,360 --> 00:12:42,360 value in that particular transaction and 324 00:12:42,360 --> 00:12:44,560 make your Facebook acquisition activity 325 00:12:44,560 --> 00:12:46,800 work a lot harder as well. So if for 326 00:12:46,800 --> 00:12:49,360 example, let's say our standard 327 00:12:49,360 --> 00:12:52,240 AOV is 40 lbs and the cost 328 00:12:52,240 --> 00:12:54,680 per acquisition is 20 lbs. Great. The 329 00:12:54,680 --> 00:12:57,200 return on ad spend is 200%. So 330 00:12:58,640 --> 00:13:00,800 if you think about average e-commerce 331 00:13:00,800 --> 00:13:03,360 margins and 50%, if our 332 00:13:03,360 --> 00:13:04,960 40 LB cart 333 00:13:05,920 --> 00:13:08,680 cost 20 lbs for us to actually purchase 334 00:13:08,680 --> 00:13:10,960 the cost of goods sold. It would mean 335 00:13:10,960 --> 00:13:13,400 that this isn't a profitable campaign for 336 00:13:13,400 --> 00:13:16,280 us. So that 20 lbs to acquire that one 337 00:13:16,280 --> 00:13:18,800 customer is literally just broke even. So 338 00:13:18,880 --> 00:13:21,080 that's the cost of your goods and the 339 00:13:21,080 --> 00:13:22,840 kind of advertising cost has gone into 340 00:13:22,840 --> 00:13:25,440 the rest of it. And you know, in this 341 00:13:25,440 --> 00:13:27,000 kind of example, what you might want to 342 00:13:27,000 --> 00:13:29,360 do is have a look at 343 00:13:29,600 --> 00:13:32,080 how you can. Bulk up that 344 00:13:32,080 --> 00:13:34,240 value and get more out of that customer. 345 00:13:34,240 --> 00:13:36,800 So if after they've made this 40 LB 346 00:13:36,800 --> 00:13:39,200 purchase, there's another sale that you 347 00:13:39,200 --> 00:13:40,720 can make, even if it's less. So let's say 348 00:13:40,720 --> 00:13:43,120 it's a 20 LB on top. What you're then 349 00:13:43,120 --> 00:13:45,440 doing is having two purchases on that one 350 00:13:45,440 --> 00:13:47,640 acquisition and your basket value has all 351 00:13:47,640 --> 00:13:50,080 of a sudden gone up to 60 lbs on the same 352 00:13:50,080 --> 00:13:52,560 CPA. So now the profit is now 353 00:13:52,640 --> 00:13:54,800 increased. There's other ways to do 354 00:13:54,880 --> 00:13:57,520 upsells. There's been some studies 355 00:13:57,600 --> 00:14:00,400 on when the best times are to actually 356 00:14:00,400 --> 00:14:02,960 hit people up with the additional sell. 357 00:14:03,280 --> 00:14:05,200 So first of all, there's a peak in 358 00:14:05,280 --> 00:14:08,000 excitement that occurs when people 359 00:14:08,000 --> 00:14:10,600 purchase an item. So there's that kind 360 00:14:10,600 --> 00:14:13,280 of. Excitement of great, you know, I've 361 00:14:13,600 --> 00:14:15,560 now bought this item. Then there's the 362 00:14:15,560 --> 00:14:17,680 anticipation waiting for that item to 363 00:14:17,920 --> 00:14:20,560 arrive when the item arrives and they've 364 00:14:20,560 --> 00:14:22,640 got it physically in their hand. That's 365 00:14:22,640 --> 00:14:24,600 another key excitement point. And if you 366 00:14:24,600 --> 00:14:27,280 can time your promotions right, that's a 367 00:14:27,280 --> 00:14:29,280 great point to capture them again. And 368 00:14:29,280 --> 00:14:30,880 also the kind of first two to four weeks 369 00:14:30,920 --> 00:14:32,560 after having that product as well and 370 00:14:32,560 --> 00:14:34,120 then it dies out and the product becomes 371 00:14:34,120 --> 00:14:36,000 normal for them. So thinking about 372 00:14:36,000 --> 00:14:37,600 hitting them up, whether through Facebook 373 00:14:37,600 --> 00:14:40,160 ads or through e-mail or even Messenger 374 00:14:40,160 --> 00:14:42,480 bot, a great example. For example here is 375 00:14:42,720 --> 00:14:45,120 once someone has transacted with you on 376 00:14:45,120 --> 00:14:47,680 the website to connect up your 377 00:14:47,680 --> 00:14:50,560 shipment information with your bot to 378 00:14:50,560 --> 00:14:52,800 get them opted into your bot and that 379 00:14:52,800 --> 00:14:55,760 gives you another sales channel to hit 380 00:14:55,760 --> 00:14:57,480 them up with marketing as well and to try 381 00:14:57,480 --> 00:14:59,760 and get them to make a subsequent 382 00:14:59,760 --> 00:15:01,840 purchase down the line. So then you have 383 00:15:01,840 --> 00:15:04,320 e-mail, you have messenger bot, 384 00:15:04,800 --> 00:15:06,960 SMS is another option as well. So if you 385 00:15:06,960 --> 00:15:09,840 wanted to again offer them an SMS route 386 00:15:09,840 --> 00:15:12,000 for shipping notification. You can then 387 00:15:12,000 --> 00:15:14,720 use another channel to hit them up. SMS 388 00:15:14,720 --> 00:15:17,640 is not as responsive as messenger 389 00:15:17,640 --> 00:15:20,520 bots are right now and especially when 390 00:15:20,520 --> 00:15:22,480 you're using messenger bots plus e-mail 391 00:15:22,480 --> 00:15:25,320 to serve up your kind of marketing 392 00:15:25,320 --> 00:15:27,720 and upsell messages post purchase. And 393 00:15:27,720 --> 00:15:29,440 then you can also follow them up with 394 00:15:29,440 --> 00:15:32,000 Facebook ads and really work on improving 395 00:15:32,000 --> 00:15:34,640 your ROAS based on acquiring 1 396 00:15:34,640 --> 00:15:37,240 customer but multiple purchases and 397 00:15:37,240 --> 00:15:39,920 really for e-com to be successful. There 398 00:15:39,920 --> 00:15:42,680 are two ingredients. Of scaling to, 399 00:15:43,120 --> 00:15:45,040 you know, millions. Number one is 400 00:15:45,040 --> 00:15:47,760 lifetime value. You know, the game within 401 00:15:47,760 --> 00:15:49,920 Facebook and e-commerce is not just about 402 00:15:50,480 --> 00:15:53,040 getting as much profit from that first 403 00:15:53,040 --> 00:15:55,280 sale as possible. It's getting as much 404 00:15:55,280 --> 00:15:56,800 profit from that one customer as 405 00:15:56,800 --> 00:15:59,040 possible. So if you get one purchase and 406 00:15:59,040 --> 00:16:01,080 you're breaking even because you know if 407 00:16:01,080 --> 00:16:03,240 that average order value is 40 lbs, your 408 00:16:03,240 --> 00:16:06,000 profit is 20 lbs and you're spending 20 409 00:16:06,080 --> 00:16:08,880 lbs, then. You're gonna 410 00:16:08,880 --> 00:16:10,560 suffer with the ecom game, but if you're 411 00:16:10,560 --> 00:16:12,280 thinking about lifetime value and let's 412 00:16:12,280 --> 00:16:14,120 say for example this customer purchases 413 00:16:14,120 --> 00:16:16,200 three times even just three times in a 414 00:16:16,200 --> 00:16:18,800 year and they spend 120 lbs 415 00:16:18,880 --> 00:16:21,520 over a 12 month period. Your cost per 416 00:16:21,520 --> 00:16:23,840 acquisition was 20 lbs and you know 417 00:16:23,840 --> 00:16:26,680 therefore your profit continues to rise. 418 00:16:26,680 --> 00:16:28,320 And this is where you then start bringing 419 00:16:28,320 --> 00:16:31,160 in e-mail and Facebook ads post purchase 420 00:16:31,160 --> 00:16:32,960 to bulk up your lifetime value. The 421 00:16:32,960 --> 00:16:35,600 second part of a successful 422 00:16:35,600 --> 00:16:37,360 e-commerce and sustainable business 423 00:16:37,360 --> 00:16:39,680 through e-commerce is through branding. 424 00:16:40,000 --> 00:16:42,080 And branding actually is something which 425 00:16:42,080 --> 00:16:44,000 really starts right from the front to 426 00:16:44,000 --> 00:16:46,200 back. So from your ads, your landing 427 00:16:46,200 --> 00:16:47,440 page, your whole experience, your 428 00:16:47,440 --> 00:16:49,760 customer service, don't discount how 429 00:16:49,760 --> 00:16:52,400 important customer. Service is to bulking 430 00:16:52,400 --> 00:16:54,080 up your lifetime value and getting people 431 00:16:54,080 --> 00:16:56,320 to buy back again. There's a reason 432 00:16:56,400 --> 00:16:59,360 Amazon placed so much emphasis on 433 00:16:59,680 --> 00:17:01,680 customer service, because that's the 434 00:17:01,680 --> 00:17:03,440 thing that people remember when things 435 00:17:03,440 --> 00:17:06,000 are either going well or not, is how well 436 00:17:06,000 --> 00:17:08,240 you're making them feel. And you know, 437 00:17:08,240 --> 00:17:10,960 the attachment with a brand and product 438 00:17:11,120 --> 00:17:13,440 comes down to that feeling, how did they, 439 00:17:13,440 --> 00:17:16,400 do they look after me, do they make me 440 00:17:16,400 --> 00:17:19,000 feel important, etcetera. And I know for 441 00:17:19,000 --> 00:17:20,400 example, when you're scaling up with 442 00:17:20,400 --> 00:17:22,000 e-commerce, it can be quite easy to be 443 00:17:22,000 --> 00:17:24,280 overwhelmed with so many support 444 00:17:24,280 --> 00:17:26,720 questions and messages coming in. But put 445 00:17:26,720 --> 00:17:28,480 the investment in. It really is worth the 446 00:17:28,480 --> 00:17:30,720 time of treating your customers as 447 00:17:30,720 --> 00:17:32,480 friends and making them feel like you 448 00:17:32,480 --> 00:17:35,200 actually care about them and you you have 449 00:17:35,200 --> 00:17:37,560 their interests best in mind as well. So 450 00:17:37,560 --> 00:17:40,040 kind of. A quick recap, the focus here 451 00:17:40,040 --> 00:17:42,680 is your ultimate goal is to 452 00:17:42,680 --> 00:17:44,720 profit, but in order to profit you need a 453 00:17:44,720 --> 00:17:47,520 good cost per acquisition in OV. In order 454 00:17:47,520 --> 00:17:49,440 to get a good cost per acquisition, you 455 00:17:49,440 --> 00:17:51,560 need a good cost per click and conversion 456 00:17:51,560 --> 00:17:54,000 rate. And being clear that there are 457 00:17:54,000 --> 00:17:56,960 multiple strategies on improving all 458 00:17:56,960 --> 00:17:59,320 of those as well, it's it's important to 459 00:17:59,320 --> 00:18:01,200 be able to break down the key metrics 460 00:18:01,200 --> 00:18:03,080 into the smaller segments and being able 461 00:18:03,080 --> 00:18:04,480 to create an action plan for those as 462 00:18:04,480 --> 00:18:04,720 well. 33350

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