1 00:00:00,311 --> 00:00:03,971 Matt Edmundson: So welcome to the eCommerce podcast with 2 00:00:03,971 --> 00:00:05,691 me, your host, Matt Edmundson. 3 00:00:05,741 --> 00:00:10,541 This is a show helping you deliver e-commerce. 4 00:00:10,601 --> 00:00:10,961 Wow. 5 00:00:10,961 --> 00:00:11,861 That's what we want to do. 6 00:00:11,861 --> 00:00:12,941 That's why we are here. 7 00:00:12,941 --> 00:00:15,191 I am here to learn about e-commerce. 8 00:00:15,746 --> 00:00:18,386 As much as you are, and we're gonna be talking to 9 00:00:18,386 --> 00:00:21,626 the wonderful Jeff Sauer today, uh, about how we, 10 00:00:21,626 --> 00:00:23,906 how we do all kinds of weird and wonderful things to help 11 00:00:23,906 --> 00:00:26,246 grow our e-com business. 12 00:00:26,246 --> 00:00:29,486 But before we get into that, lemme give a shout out to you. 13 00:00:29,486 --> 00:00:31,646 If this is your first time with us, lemme, there we go. 14 00:00:31,646 --> 00:00:31,886 Sorry. 15 00:00:31,886 --> 00:00:32,786 It's just in my seat. 16 00:00:33,446 --> 00:00:35,396 Uh, shout out if this is your first time with us. 17 00:00:35,726 --> 00:00:36,386 It's great that you are here. 18 00:00:36,386 --> 00:00:37,106 Hope you like the show. 19 00:00:37,106 --> 00:00:38,246 Hope you get a lot out of it. 20 00:00:38,666 --> 00:00:42,476 Uh, and if you are like me, you run your own e-com businesses. 21 00:00:42,976 --> 00:00:44,746 I would genuinely love to hear from you. 22 00:00:44,746 --> 00:00:46,396 Come check me out on social media. 23 00:00:46,396 --> 00:00:48,796 You can find me on LinkedIn to search for Matt Edmondson. 24 00:00:49,276 --> 00:00:50,266 Uh, and I will be there. 25 00:00:50,266 --> 00:00:52,816 The link will be in the show notes, uh, which is 26 00:00:52,816 --> 00:00:53,926 usually on your podcast app. 27 00:00:53,926 --> 00:00:56,266 But come find me, come say hello, tell me your story. 28 00:00:56,716 --> 00:01:00,136 We are doing this thing, uh, where we are actively now 29 00:01:00,136 --> 00:01:03,346 seeking more founders to come on the show and tell their stories. 30 00:01:03,346 --> 00:01:06,406 We've got quite a few lined up, which I'm very excited about. 31 00:01:06,796 --> 00:01:10,666 Um, but if you are a founder, if you run your own e-com. 32 00:01:10,786 --> 00:01:11,596 Business. 33 00:01:11,746 --> 00:01:13,876 You know, you've got your own store, whether you are running 34 00:01:13,876 --> 00:01:16,846 it as a part-time side hustle, whether this is your full-time 35 00:01:16,846 --> 00:01:19,666 gig, whether you've turned over a hundred grand, whether 36 00:01:19,666 --> 00:01:22,936 you've turned over 10 million, I would love to talk to you. 37 00:01:22,936 --> 00:01:26,986 Would love to find out your story, and if you're up for it, 38 00:01:26,986 --> 00:01:28,546 come share it on the podcast. 39 00:01:28,546 --> 00:01:29,056 I promise. 40 00:01:29,176 --> 00:01:29,986 I'll be kind. 41 00:01:30,176 --> 00:01:32,756 I'm always kind as you know, if you're a regular to the show. 42 00:01:33,146 --> 00:01:35,516 Um, but it would be genuinely great to hear from you. 43 00:01:35,516 --> 00:01:36,386 So do get in touch. 44 00:01:36,386 --> 00:01:38,456 Come find me on LinkedIn or you can reach out to me through the 45 00:01:38,456 --> 00:01:40,316 website eCommerce podcast.net. 46 00:01:40,676 --> 00:01:41,696 There's a little thing on there. 47 00:01:41,756 --> 00:01:44,636 Just fill that in, uh, and get in touch. 48 00:01:44,636 --> 00:01:45,536 We'd love to hear from you. 49 00:01:45,716 --> 00:01:48,086 So that's the plug over with. 50 00:01:48,971 --> 00:01:52,841 Let's talk about today's guest, uh, and jump into it, shall we? 51 00:01:52,841 --> 00:01:58,271 Jeff Sauer is the Data Whisperer, which I just, 52 00:01:58,691 --> 00:02:00,521 Jeff, I dunno if that's your general title, but 53 00:02:00,521 --> 00:02:01,631 actually I really like it. 54 00:02:01,871 --> 00:02:06,251 The Data Whisperer of Digital Marketing and Founder of 55 00:02:06,251 --> 00:02:10,181 Measure Holding Group, where he has transformed thousands. 56 00:02:10,451 --> 00:02:14,801 Of marketers into analytics ninjas through his 57 00:02:14,801 --> 00:02:16,601 training and consulting. 58 00:02:16,601 --> 00:02:18,881 So we're in the dojo today, ladies and gentlemen, when 59 00:02:18,881 --> 00:02:21,581 he's not jet setting around the world as a digital nomad. 60 00:02:21,911 --> 00:02:27,911 You can find this top 25 PPC expert spreading the gospel 61 00:02:27,911 --> 00:02:31,451 of data-driven marketing at major industry conferences, 62 00:02:31,901 --> 00:02:35,021 uh, helping businesses turn numbers into gold. 63 00:02:35,711 --> 00:02:37,181 That was a good intro that Jeff. 64 00:02:37,181 --> 00:02:37,811 I like that. 65 00:02:37,811 --> 00:02:38,441 How you doing? 66 00:02:38,981 --> 00:02:39,491 Jeff Saucer: I love it. 67 00:02:39,521 --> 00:02:41,441 I've never been called a data whisperer. 68 00:02:41,501 --> 00:02:44,831 I, I'm not sure how my ninja skills are right now, but 69 00:02:44,831 --> 00:02:49,631 overall, I wanna get you all excited about, about this idea 70 00:02:49,931 --> 00:02:53,111 of measuring your measuring 'cause that is something I'm 71 00:02:53,111 --> 00:02:56,591 very passionate about and that is pretty much, I've dedicated 72 00:02:56,591 --> 00:02:59,231 my career to it because it was finally seeing the light. 73 00:02:59,581 --> 00:03:01,921 When everything seemed dark at one point in my career, 74 00:03:02,221 --> 00:03:03,661 uh, numbers got me out of it. 75 00:03:03,721 --> 00:03:05,731 And that might sound like the craziest thing you've 76 00:03:05,731 --> 00:03:08,041 ever heard, but hopefully by the end of this episode, 77 00:03:08,341 --> 00:03:09,451 we all feel the same way. 78 00:03:09,511 --> 00:03:11,311 We feel empowered to look at this stuff and turn it 79 00:03:11,311 --> 00:03:14,101 into a positive versus just something that doesn't make 80 00:03:14,101 --> 00:03:15,271 sense or intimidates you. 81 00:03:15,271 --> 00:03:16,706 Matt Edmundson: I. Fantastic. 82 00:03:16,796 --> 00:03:18,956 I'm looking forward to the conversation because I think 83 00:03:18,956 --> 00:03:20,996 data's always interesting and analytics is always 84 00:03:20,996 --> 00:03:24,296 interesting, and I think for a lot of people, analytics is 85 00:03:24,296 --> 00:03:29,276 a little bit kind of black, artsy, um, and, and quite scary. 86 00:03:29,276 --> 00:03:32,846 So it'll be good to get into that, um, and start to 87 00:03:32,846 --> 00:03:34,046 understand it a little bit more. 88 00:03:34,286 --> 00:03:37,316 I think I, I, I remember hearing a quote, Jeff, and I don't 89 00:03:37,316 --> 00:03:41,306 know, I genuinely don't know if this is an attributable quote. 90 00:03:41,606 --> 00:03:42,086 Um. 91 00:03:43,541 --> 00:03:45,311 I should probably Google it and find out. 92 00:03:45,371 --> 00:03:48,826 Uh, I'm sure someone will let me know, but, um, but there's a, a 93 00:03:48,831 --> 00:03:50,891 quote that I've heard that goes, that says something like this. 94 00:03:50,891 --> 00:03:52,181 I think it was Einstein that said it. 95 00:03:52,181 --> 00:03:56,051 If I was given a problem, I would spend 95% of my 96 00:03:56,051 --> 00:03:59,141 time defining the problem and 5% on the solution. 97 00:03:59,141 --> 00:04:00,461 Now the percentage may have changed. 98 00:04:00,461 --> 00:04:00,911 It'll be different. 99 00:04:01,601 --> 00:04:05,171 There is this, this idea, I think of. 100 00:04:05,536 --> 00:04:09,436 When you are faced with a problem devoting a large amount 101 00:04:09,436 --> 00:04:12,316 of time to clearly understanding the problem and defining it 102 00:04:12,376 --> 00:04:14,746 gives you the majority of the solution that you need. 103 00:04:15,136 --> 00:04:20,926 And this is where, for me, data and analytics can actually be 104 00:04:20,926 --> 00:04:23,206 your friend, especially in the world of e-commerce, because we 105 00:04:23,206 --> 00:04:26,356 measure absolutely everything. 106 00:04:26,776 --> 00:04:29,686 Um, well, it seems we measure absolutely everything. 107 00:04:29,986 --> 00:04:30,436 Uh. 108 00:04:32,921 --> 00:04:35,051 So, yeah, I'm, I'm kind of curious with the whole thing. 109 00:04:35,051 --> 00:04:36,461 You said you've got a passion for it, you've 110 00:04:36,461 --> 00:04:37,181 gotta look for it. 111 00:04:37,631 --> 00:04:39,701 Was that just from birth? 112 00:04:39,701 --> 00:04:43,151 Was this as a result of some cosmic coincidence, or was 113 00:04:43,151 --> 00:04:45,161 it because actually something happened and you needed to start 114 00:04:45,161 --> 00:04:46,181 getting your head around data? 115 00:04:46,931 --> 00:04:49,511 Jeff Saucer: Yeah, so I'll, I'll, I love the quote I, I, 116 00:04:49,571 --> 00:04:51,581 you made me, you're reminded me of one, if you have an hour 117 00:04:51,581 --> 00:04:54,551 to chop down a tree, spend 45 minutes sharpening your ax. 118 00:04:54,586 --> 00:04:54,876 Yeah, 119 00:04:54,881 --> 00:04:55,301 Matt Edmundson: yeah. 120 00:04:55,301 --> 00:04:55,961 Jeff Saucer: Similar, right? 121 00:04:55,961 --> 00:04:56,476 And that is, I 122 00:04:56,476 --> 00:04:57,461 Matt Edmundson: think that was from the seven 123 00:04:57,461 --> 00:04:58,241 habits, wasn't it? 124 00:04:58,241 --> 00:04:58,961 The seven habits. 125 00:04:58,961 --> 00:04:59,081 Yeah. 126 00:04:59,081 --> 00:04:59,681 But yeah, so 127 00:05:00,311 --> 00:05:02,801 Jeff Saucer: I mean, the, the concept is true though, right? 128 00:05:02,801 --> 00:05:05,171 Like the more strategy you have, the more you think about 129 00:05:05,171 --> 00:05:06,101 these things, the less mm-hmm. 130 00:05:06,341 --> 00:05:08,441 Of a technical problem, it becomes, yeah. 131 00:05:08,441 --> 00:05:10,871 Now the funny thing is, how I got into this thing was purely 132 00:05:10,871 --> 00:05:12,161 based on technical merit. 133 00:05:12,686 --> 00:05:15,146 Uh, so I graduated with a computer science degree. 134 00:05:15,146 --> 00:05:17,486 I thought I was just gonna be a computer 135 00:05:17,486 --> 00:05:18,986 programmer my whole life. 136 00:05:19,286 --> 00:05:22,856 Um, got into some debt and I had to make money and so I 137 00:05:22,856 --> 00:05:25,706 started becoming like a low end frontend website developer. 138 00:05:25,706 --> 00:05:25,796 Mm-hmm. 139 00:05:25,911 --> 00:05:27,206 And just making websites for people 'cause I 140 00:05:27,206 --> 00:05:28,916 could do that and I. 141 00:05:29,201 --> 00:05:30,476 Was decent at it, but not great. 142 00:05:30,696 --> 00:05:31,116 Mm-hmm. 143 00:05:31,196 --> 00:05:32,051 And, but it was paying the bills. 144 00:05:32,051 --> 00:05:33,851 And then finally I made a website for somebody who 145 00:05:33,851 --> 00:05:36,431 said, Hey Jeff, thanks for the website, but I don't 146 00:05:36,431 --> 00:05:39,401 really think it's, I'm not gonna pay you because I'm not 147 00:05:39,401 --> 00:05:40,571 making any money off of it. 148 00:05:40,931 --> 00:05:41,561 Oh, wow. 149 00:05:41,561 --> 00:05:43,301 Help me make money off this thing so I can pay 150 00:05:43,301 --> 00:05:44,141 you for the website. 151 00:05:44,381 --> 00:05:44,561 Yeah. 152 00:05:44,561 --> 00:05:45,761 And I was like, well, how do you do that? 153 00:05:45,761 --> 00:05:48,191 So I looked into things like paid it, paid ads. 154 00:05:48,191 --> 00:05:48,251 Mm-hmm. 155 00:05:48,281 --> 00:05:48,836 SEO. 156 00:05:48,836 --> 00:05:48,837 Mm-hmm. 157 00:05:49,331 --> 00:05:49,931 Um. 158 00:05:50,586 --> 00:05:53,466 Finally arrived at this thing called stats, which 159 00:05:53,466 --> 00:05:55,056 eventually became analytics. 160 00:05:55,086 --> 00:05:57,876 And ultimately that was the only thing I could use 161 00:05:57,876 --> 00:05:59,676 that would help me figure out how to make this guy 162 00:05:59,676 --> 00:06:00,846 money in order to get paid. 163 00:06:01,236 --> 00:06:03,486 And so that this was, yeah, that was sort of the, the 164 00:06:03,486 --> 00:06:05,736 whole background was it, is that I couldn't, nothing 165 00:06:05,736 --> 00:06:06,516 else was accountable. 166 00:06:06,516 --> 00:06:07,716 The only thing that was accountable was 167 00:06:07,716 --> 00:06:08,736 looking at the numbers. 168 00:06:08,921 --> 00:06:11,071 I. Seeing what the numbers said and then using the 169 00:06:11,071 --> 00:06:13,651 numbers to leverage it so you could get more of the 170 00:06:13,651 --> 00:06:14,731 result you were looking for. 171 00:06:14,941 --> 00:06:15,121 Yeah. 172 00:06:15,121 --> 00:06:17,131 Basically saying, this is positive, this is, this 173 00:06:17,131 --> 00:06:18,301 is not working so well. 174 00:06:18,451 --> 00:06:20,011 Let's put all of our effort into this. 175 00:06:20,191 --> 00:06:23,611 Which, um, even though the Pareto principle has been around 176 00:06:23,611 --> 00:06:27,361 forever, the idea of 80 20, um, that was my first introduction 177 00:06:27,361 --> 00:06:28,801 to 80 20 being a real thing. 178 00:06:28,891 --> 00:06:28,981 Mm-hmm. 179 00:06:29,221 --> 00:06:30,631 And being something that was. 180 00:06:30,971 --> 00:06:33,191 Shifting that, that actually could make money, right? 181 00:06:33,191 --> 00:06:35,351 Like you can read about something in math and that 182 00:06:35,351 --> 00:06:37,871 sounds cool, but when you're actually talking about somebody 183 00:06:37,871 --> 00:06:40,991 making money off their website because you 80 20 something, 184 00:06:40,991 --> 00:06:44,021 because you had the numbers to point it out, that was magical. 185 00:06:44,021 --> 00:06:46,811 And so it was the first time that I really felt accepted 186 00:06:46,841 --> 00:06:49,781 and that I belonged in that world because, um, I took 187 00:06:49,781 --> 00:06:51,911 this, this technical thing and turned it into something 188 00:06:51,911 --> 00:06:52,931 that made somebody money. 189 00:06:52,956 --> 00:06:55,776 And it turns out that I'm a lot better at making people money 190 00:06:55,866 --> 00:06:57,126 than I am at being technical. 191 00:06:57,666 --> 00:07:01,446 So, um, and so that's where I ended up finding a career. 192 00:07:01,986 --> 00:07:02,556 A career. 193 00:07:02,616 --> 00:07:02,706 Mm-hmm. 194 00:07:02,706 --> 00:07:03,996 Let's just call that a career. 195 00:07:04,326 --> 00:07:06,276 And then there's been a lot of phases in the career. 196 00:07:06,281 --> 00:07:08,526 I'll, I'll love to get into those, but, um, that's sort 197 00:07:08,526 --> 00:07:11,436 of the genesis story of how I became a numbers guy. 198 00:07:11,706 --> 00:07:14,556 Um, even though, and, and I had the, you know, I, I had the 199 00:07:14,556 --> 00:07:16,776 education to become a numbers guy, but it was really in 200 00:07:16,776 --> 00:07:17,796 the field that got me there. 201 00:07:18,611 --> 00:07:21,491 Matt Edmundson: So I, I'm curious, what, what, once you 202 00:07:21,491 --> 00:07:23,771 sort of started to get your head around the analytics for 203 00:07:23,771 --> 00:07:26,531 this guy that wasn't making any money, what did you 204 00:07:26,531 --> 00:07:27,551 learn and what did you do? 205 00:07:27,551 --> 00:07:29,141 How did you turn his side around? 206 00:07:29,531 --> 00:07:31,451 Jeff Saucer: Yeah, I mean sometimes it's, it's like 207 00:07:31,451 --> 00:07:33,671 the most obvious solution is the answer, and that 208 00:07:33,671 --> 00:07:35,411 is ride the hot hand. 209 00:07:36,261 --> 00:07:38,031 Figure out what's working and then double down 210 00:07:38,031 --> 00:07:39,171 on it, do more of that. 211 00:07:39,321 --> 00:07:42,291 And this is any e-commerce store owner that's out there, anybody 212 00:07:42,291 --> 00:07:45,591 who's, who's got some kind of momentum, um, the data will tell 213 00:07:45,591 --> 00:07:49,101 you how you've succeeded in the past, and then you can do some 214 00:07:49,101 --> 00:07:51,741 kind of extrapolation to say, okay, I can go do more of this. 215 00:07:51,746 --> 00:07:51,966 Mm-hmm. 216 00:07:52,431 --> 00:07:55,671 The reality is that 80 20 is just like a never ending thing. 217 00:07:55,671 --> 00:07:57,621 It's everywhere around you at all times. 218 00:07:57,831 --> 00:08:00,321 And that is that most of the things you do aren't gonna work. 219 00:08:00,381 --> 00:08:03,321 You gotta grow a thick skin in order to understand that. 220 00:08:03,321 --> 00:08:04,941 And then the few things that do work. 221 00:08:05,191 --> 00:08:06,691 They work extremely well. 222 00:08:06,871 --> 00:08:06,961 Mm-hmm. 223 00:08:07,201 --> 00:08:09,241 And they, they end up being your payback on payback 224 00:08:09,241 --> 00:08:10,111 on everything you do. 225 00:08:10,471 --> 00:08:13,231 So it could be a couple skews that perform well for you. 226 00:08:13,501 --> 00:08:13,591 Yeah. 227 00:08:13,591 --> 00:08:15,181 It could be any one of those things. 228 00:08:15,181 --> 00:08:16,921 That's usually how it is now. 229 00:08:16,951 --> 00:08:19,951 We all want things to be different. 230 00:08:20,011 --> 00:08:21,481 We all want it to be more sustainable. 231 00:08:21,481 --> 00:08:23,101 We want to have a portfolio play. 232 00:08:23,341 --> 00:08:24,661 We wanna hedge our bets. 233 00:08:24,901 --> 00:08:26,671 And there's, there's merit in doing that. 234 00:08:26,966 --> 00:08:29,996 But the reality is that it's still gonna be, uh, a handful 235 00:08:29,996 --> 00:08:32,486 of things that, that work really well and analytics just 236 00:08:32,486 --> 00:08:33,656 helps you get there faster. 237 00:08:33,986 --> 00:08:36,206 Um, and now we're getting better to the point where 238 00:08:36,356 --> 00:08:37,976 it can actually predict what's gonna happen. 239 00:08:37,976 --> 00:08:39,116 It can predict behaviors. 240 00:08:39,116 --> 00:08:40,856 There's all kinds of things that are happening where if 241 00:08:40,856 --> 00:08:42,476 you feed the data into these. 242 00:08:42,721 --> 00:08:44,671 Um, machine learning algorithms into this, 243 00:08:44,671 --> 00:08:46,051 into the big data Yeah. 244 00:08:46,051 --> 00:08:48,811 Pipeline, into meta's algorithms, into, you know, 245 00:08:48,811 --> 00:08:51,781 into their, their systems, into Google systems. 246 00:08:51,961 --> 00:08:53,941 It's ultimately, they're, they're gonna use all the 247 00:08:53,941 --> 00:08:56,881 power to find 80 twenties that you never even dreamed of. 248 00:08:56,881 --> 00:08:56,941 Yeah. 249 00:08:56,971 --> 00:08:59,071 That, to find the things that are working and that's, that's 250 00:08:59,071 --> 00:09:02,041 ultimately how the entire ecosystem works of advertising 251 00:09:02,071 --> 00:09:05,701 and, and analytics now, is that you are constantly feeding 252 00:09:05,731 --> 00:09:08,221 your results and then they're constantly trying to get you 253 00:09:08,221 --> 00:09:09,301 more of the same results. 254 00:09:09,701 --> 00:09:11,111 Matt Edmundson: Yeah, that's a fair point. 255 00:09:11,561 --> 00:09:13,661 It, and, and it's, I I think it's gonna be that 256 00:09:13,661 --> 00:09:14,471 way for a little while. 257 00:09:14,471 --> 00:09:16,481 I mean, I know we're living in a new world order now, 258 00:09:16,691 --> 00:09:19,271 um, but I think some of these principles sort of 259 00:09:19,481 --> 00:09:20,591 stay the same, don't they? 260 00:09:21,221 --> 00:09:23,951 I'm curious, uh, Jeff, I mean, you, you sound like 261 00:09:23,981 --> 00:09:25,871 quite a knowledgeable chap in this whole area. 262 00:09:25,871 --> 00:09:29,081 Let's, let's deal maybe with the big elephant in the room, right? 263 00:09:29,591 --> 00:09:33,761 In the sense that when it comes to analytics, whether it be. 264 00:09:34,226 --> 00:09:37,676 Um, Google Analytics you're looking at, whether it's a 265 00:09:37,676 --> 00:09:39,356 dashboard from the platform. 266 00:09:39,356 --> 00:09:42,926 I'm a big fan of a platform that's done by sweet analytics 267 00:09:42,926 --> 00:09:47,366 guy called Oliver Sparks been on the show, um, British guy 268 00:09:47,366 --> 00:09:48,536 who's created that problem. 269 00:09:48,596 --> 00:09:51,266 Uh, problem created that platform problem and platform. 270 00:09:51,356 --> 00:09:51,446 Mm-hmm. 271 00:09:51,776 --> 00:09:54,866 Um, so we, we've used that in the past. 272 00:09:54,956 --> 00:09:56,336 Um, and still use that today. 273 00:09:57,206 --> 00:10:01,556 I guess my, my observation is now because it is so 274 00:10:01,616 --> 00:10:03,446 easy to measure everything. 275 00:10:04,886 --> 00:10:07,076 We do measure everything. 276 00:10:07,076 --> 00:10:11,876 How do we avoid the overwhelm of data? 277 00:10:12,116 --> 00:10:15,386 Because it, it, I sometimes I just look at things and go, 278 00:10:15,386 --> 00:10:17,486 I just dunno where to start. 279 00:10:18,266 --> 00:10:18,596 Yeah. 280 00:10:19,076 --> 00:10:20,456 Jeff Saucer: Well, there's a, there's a lot of different ways 281 00:10:20,456 --> 00:10:23,936 and so I, I'd, I'd love to, to help everybody figure that out. 282 00:10:24,236 --> 00:10:26,906 First thing is, and this is just back to the origin 283 00:10:26,906 --> 00:10:27,776 story and the evolution. 284 00:10:27,776 --> 00:10:30,626 When I first started teaching this stuff almost 20 years ago. 285 00:10:30,971 --> 00:10:33,821 I was teaching technical things, I was telling somebody where 286 00:10:33,821 --> 00:10:36,251 to, where to click a button, how do you, how to put JavaScript 287 00:10:36,251 --> 00:10:39,161 on your site, how to, how to get code access to your 288 00:10:39,161 --> 00:10:40,481 site and put stuff on there. 289 00:10:40,691 --> 00:10:42,851 And that was pretty much every conversation we had. 290 00:10:43,211 --> 00:10:46,301 Um, thankfully that's not really necessary anymore. 291 00:10:46,301 --> 00:10:48,371 There's lots of ways to get the code on your site and to track 292 00:10:48,371 --> 00:10:51,731 things and, and it's easier to collect data than ever before. 293 00:10:51,791 --> 00:10:51,911 Mm-hmm. 294 00:10:52,151 --> 00:10:55,181 Now that's, that's positive from a not as intimidating. 295 00:10:55,316 --> 00:10:55,376 Yeah. 296 00:10:55,556 --> 00:10:58,166 But then it just creates another level of intimidation. 297 00:10:58,346 --> 00:10:58,406 Yeah. 298 00:10:58,406 --> 00:10:59,996 And that is now data overload. 299 00:11:00,296 --> 00:11:00,416 Mm-hmm. 300 00:11:00,656 --> 00:11:02,246 Data deluge, just so much of it. 301 00:11:02,246 --> 00:11:03,176 Big data, right? 302 00:11:03,176 --> 00:11:03,236 Yeah. 303 00:11:03,331 --> 00:11:03,621 Yeah. 304 00:11:03,626 --> 00:11:06,956 Um, just so much to choose from that you don't even 305 00:11:06,956 --> 00:11:07,976 know what matters anymore. 306 00:11:07,976 --> 00:11:10,136 These dashboards have all these indicators. 307 00:11:10,136 --> 00:11:10,226 Mm-hmm. 308 00:11:10,466 --> 00:11:10,976 Almost like an airplane. 309 00:11:11,786 --> 00:11:11,876 Mm-hmm. 310 00:11:11,876 --> 00:11:13,831 Plane cockpit as opposed to like the dashboard of a car. 311 00:11:13,951 --> 00:11:14,491 Yeah, right. 312 00:11:14,491 --> 00:11:15,301 A car dashboard. 313 00:11:15,301 --> 00:11:16,051 It's pretty obvious. 314 00:11:16,051 --> 00:11:18,631 You need to put gas in the car, you're going, your engine's too 315 00:11:18,631 --> 00:11:19,981 hot and you're going too fast. 316 00:11:20,011 --> 00:11:20,101 Mm-hmm. 317 00:11:20,371 --> 00:11:22,681 Um, an airplane one has, you know, it's, it's 318 00:11:22,681 --> 00:11:23,731 much more than that. 319 00:11:23,731 --> 00:11:25,981 And so that's, that's what ends up happening right now. 320 00:11:25,981 --> 00:11:25,982 Mm-hmm. 321 00:11:27,241 --> 00:11:27,301 Um. 322 00:11:27,301 --> 00:11:29,246 The thing is most people aren't driving airplanes. 323 00:11:29,306 --> 00:11:30,596 They're not flying airplanes. 324 00:11:30,776 --> 00:11:33,896 And, and you know, if you get into e-commerce, uh, you know, 325 00:11:33,896 --> 00:11:37,046 just as a, as a business, you don't, you didn't get into 326 00:11:37,046 --> 00:11:38,096 this thing to fly airplanes. 327 00:11:38,096 --> 00:11:40,196 You got into this thing to, to drive a car, right. 328 00:11:40,196 --> 00:11:42,146 To drive from one point to the other. 329 00:11:42,326 --> 00:11:43,406 And so one thing is. 330 00:11:44,146 --> 00:11:46,516 Instead of having the airplane dashboard and having everything 331 00:11:46,516 --> 00:11:49,306 possible, all these instruments that you don't need realize 332 00:11:49,306 --> 00:11:52,336 that you're, that you're in a car and, and, and simplify it. 333 00:11:52,786 --> 00:11:55,456 And so, again, I, I hate to say 80 20 all the time, 334 00:11:55,456 --> 00:11:57,466 but it ends up usually being about the ratio. 335 00:11:57,466 --> 00:11:57,526 Yeah. 336 00:11:57,856 --> 00:12:00,406 Um, I always tell people that in Google Analytics, I. 337 00:12:00,811 --> 00:12:03,061 You think you need a hundred percent of the data, you'll 338 00:12:03,061 --> 00:12:06,661 only ever look at 2010 to 20% of the data you collect. 339 00:12:07,171 --> 00:12:09,991 And, and I'd rather have you spend time configuring 340 00:12:09,991 --> 00:12:11,496 that 10 to 20% mm-hmm. 341 00:12:11,581 --> 00:12:14,971 To give you exactly what you need as opposed to spending 342 00:12:14,971 --> 00:12:18,931 that time trying to understand all 100% of what you have. 343 00:12:19,231 --> 00:12:19,381 Yeah. 344 00:12:19,381 --> 00:12:21,391 And so the way that we help people with that is we, we 345 00:12:21,391 --> 00:12:24,001 actually developed our own framework called the Measurement 346 00:12:24,001 --> 00:12:27,481 Marketing Framework at Measure U. And that basically tells you. 347 00:12:28,046 --> 00:12:31,526 Ask the right questions about what you want this data to do. 348 00:12:31,526 --> 00:12:33,596 What are, what is what, what do I need this thing to tell me? 349 00:12:33,601 --> 00:12:33,931 Mm-hmm. 350 00:12:34,016 --> 00:12:36,206 Is it that you're tracking like a product detail page 351 00:12:36,206 --> 00:12:38,576 and you wanna see where people drop off and whether 352 00:12:38,576 --> 00:12:39,716 they're looking at it or not? 353 00:12:39,926 --> 00:12:42,626 Is it that you wanna track your cart and if they're dropping off 354 00:12:42,626 --> 00:12:45,836 in the cart, is it like how you, you have to basically figure 355 00:12:45,836 --> 00:12:48,146 out what behavior you're trying to track, get to that level. 356 00:12:48,146 --> 00:12:49,586 Like what am I trying to solve? 357 00:12:50,366 --> 00:12:54,026 Now the good news is that you need analytics in order to 358 00:12:54,026 --> 00:12:55,166 know that you have a problem. 359 00:12:55,286 --> 00:12:59,006 Like if you look at your, your card abandonment rate is 98% 360 00:12:59,096 --> 00:13:03,986 and you're expecting it to be 60% that all the, the data is 361 00:13:03,986 --> 00:13:05,036 telling you where to focus. 362 00:13:05,216 --> 00:13:05,276 Yeah. 363 00:13:05,306 --> 00:13:06,926 So it's already telling you where to go. 364 00:13:07,196 --> 00:13:10,316 Then within that area, there's, if, once you identify 365 00:13:10,316 --> 00:13:12,566 the problem, it's actually pretty easy to solve it. 366 00:13:12,761 --> 00:13:12,881 Hmm. 367 00:13:12,881 --> 00:13:13,082 It is. 368 00:13:13,087 --> 00:13:15,356 When you're trying to solve everything, uh, all at once, 369 00:13:15,356 --> 00:13:16,466 that, that becomes a problem. 370 00:13:16,466 --> 00:13:18,806 So is your problem, your homepage? 371 00:13:19,616 --> 00:13:22,916 Is your problem, your traffic source is your problem. 372 00:13:23,156 --> 00:13:25,196 The product detail page is your problem, your 373 00:13:25,196 --> 00:13:26,696 cart, is it checkout? 374 00:13:26,696 --> 00:13:27,716 Is it all these different things? 375 00:13:28,691 --> 00:13:31,901 Ultimately using data will help you to decide where things are. 376 00:13:31,901 --> 00:13:32,771 It could be everything. 377 00:13:32,771 --> 00:13:34,601 Mm mm Chances are it's not everything. 378 00:13:34,601 --> 00:13:37,601 It's usually one thing that's a lowest hanging fruit and, and 379 00:13:37,601 --> 00:13:40,211 usually, you know, the analytics tool helps you identify the low 380 00:13:40,211 --> 00:13:41,441 hanging fruit for your business. 381 00:13:41,441 --> 00:13:41,531 Mm-hmm. 382 00:13:41,741 --> 00:13:42,941 Then you just keep on picking it. 383 00:13:43,331 --> 00:13:46,003 I've never actually had to get a ladder out, you know 384 00:13:46,003 --> 00:13:46,841 what, you know what I mean? 385 00:13:47,021 --> 00:13:48,611 Never have to get a ladder out at all. 386 00:13:48,641 --> 00:13:48,701 Yeah. 387 00:13:48,701 --> 00:13:50,081 If you just keep on picking that fruit. 388 00:13:50,111 --> 00:13:51,731 'cause the next thing's gonna keep on coming down. 389 00:13:51,731 --> 00:13:51,791 Yeah. 390 00:13:51,791 --> 00:13:53,261 The next can get ripe at the same time. 391 00:13:53,561 --> 00:13:55,571 And so that's where I look at it not being intimidating. 392 00:13:55,571 --> 00:13:57,641 Look at it as being empowering for your business. 393 00:13:58,451 --> 00:14:00,821 Matt Edmundson: I, I love the car and plane analogy. 394 00:14:00,881 --> 00:14:01,541 Thank you for that. 395 00:14:01,541 --> 00:14:02,591 That really helps me. 396 00:14:02,651 --> 00:14:06,131 Um, having driven cars and flown planes, I can attest to 397 00:14:06,131 --> 00:14:08,051 both and I'm like, yeah, that ma, that makes a lot of sense. 398 00:14:08,621 --> 00:14:15,071 I'm ki I, I like this idea of letting the data I. Rather than 399 00:14:15,071 --> 00:14:17,321 trying to understand everything, understand the key problems 400 00:14:17,321 --> 00:14:19,961 that it's telling you, and then use the data to help you 401 00:14:19,961 --> 00:14:22,151 solve that particular problem. 402 00:14:22,631 --> 00:14:24,971 Um, in your example, the abandoned cart, you know, if, 403 00:14:24,971 --> 00:14:28,361 if, if that's going wrong, um, you can then use the 404 00:14:28,361 --> 00:14:32,441 data to sort of highlight that from your experience. 405 00:14:32,621 --> 00:14:36,056 Um, Jeff, I dare say haven't done this with a fair few 406 00:14:36,056 --> 00:14:37,421 people, uh, around the world. 407 00:14:37,421 --> 00:14:38,531 In the world of e-commerce. 408 00:14:39,161 --> 00:14:41,171 What are some of the common. 409 00:14:41,801 --> 00:14:44,081 Issues that you are seeing in the data, sort of some of the 410 00:14:44,081 --> 00:14:46,991 common problems that keep coming up over and over again that we 411 00:14:46,991 --> 00:14:50,146 could maybe think about starting with those in our own analytics. 412 00:14:50,876 --> 00:14:51,266 Yeah. 413 00:14:51,446 --> 00:14:54,356 Jeff Saucer: Um, so we, we, our framework, the way that 414 00:14:54,356 --> 00:14:56,066 we would answer that, 'cause there's, there's, there's big 415 00:14:56,066 --> 00:14:59,156 problems and there's, like, we, we, we focus on five problems. 416 00:14:59,161 --> 00:14:59,271 Mm-hmm. 417 00:14:59,351 --> 00:15:00,896 So we, we call it the i on the journey. 418 00:15:01,166 --> 00:15:05,096 It's like different, I like the letter I, so it's like, um. 419 00:15:05,591 --> 00:15:08,111 You know, did it, and it's, and it, you just basically look at 420 00:15:08,111 --> 00:15:10,146 a pa and we're talking about an individual page, but this, 421 00:15:10,211 --> 00:15:12,041 this could be your whole site, but it starts with a page. 422 00:15:12,041 --> 00:15:14,411 Like, did they get past the, the fold? 423 00:15:14,741 --> 00:15:14,861 Mm-hmm. 424 00:15:15,131 --> 00:15:16,361 Did they, did they scroll? 425 00:15:16,421 --> 00:15:17,621 Did they get 50%? 426 00:15:17,921 --> 00:15:19,451 Did they see your call to action button? 427 00:15:19,451 --> 00:15:21,341 And then did they take the action you wanted them to do? 428 00:15:21,561 --> 00:15:21,831 Right. 429 00:15:21,831 --> 00:15:23,721 So we, we basically focus on the different areas. 430 00:15:23,721 --> 00:15:23,811 Mm-hmm. 431 00:15:24,111 --> 00:15:25,851 And then we see what percentage of people should 432 00:15:25,851 --> 00:15:26,511 have been doing that. 433 00:15:26,516 --> 00:15:26,836 Mm-hmm. 434 00:15:26,931 --> 00:15:28,581 What percentage of people should get past the full, 435 00:15:28,581 --> 00:15:29,841 what percentage of people should be doing that? 436 00:15:29,841 --> 00:15:33,021 And it gives you a nice, clean dashboard that tells 437 00:15:33,021 --> 00:15:35,481 you whether or not you're in an acceptable range. 438 00:15:35,541 --> 00:15:35,631 Mm-hmm. 439 00:15:35,961 --> 00:15:38,376 And then it, it automatically tells you, I. Whether that's 440 00:15:38,376 --> 00:15:40,236 work, you know, whether you're in the right spot or not. 441 00:15:40,236 --> 00:15:40,866 Does that make sense? 442 00:15:41,166 --> 00:15:41,496 Yeah, it does. 443 00:15:41,496 --> 00:15:43,506 So basically we tell you where the drop off is. 444 00:15:43,506 --> 00:15:43,596 Mm-hmm. 445 00:15:43,836 --> 00:15:45,216 It does take some configuration. 446 00:15:45,216 --> 00:15:46,326 It's, it's minimal. 447 00:15:46,776 --> 00:15:48,756 Um, but that will tell you, okay, here's 448 00:15:48,756 --> 00:15:49,536 what your problem is. 449 00:15:49,536 --> 00:15:52,446 As opposed to, um, most people don't really know what problem 450 00:15:52,446 --> 00:15:54,486 they're trying to solve because they don't either, don't do 451 00:15:54,486 --> 00:15:55,896 any configuration at all. 452 00:15:56,311 --> 00:15:58,171 And they don't really understand like, Hey, 453 00:15:58,171 --> 00:15:59,281 my bounce rate's high. 454 00:15:59,401 --> 00:15:59,491 Mm-hmm. 455 00:15:59,661 --> 00:16:01,261 That means that I need to fix my bounce rate. 456 00:16:01,561 --> 00:16:03,421 Or I have a lot of returning visitors. 457 00:16:03,421 --> 00:16:05,701 How do I get more new visitors instead of returning? 458 00:16:05,701 --> 00:16:05,761 Yeah. 459 00:16:05,761 --> 00:16:08,041 It's like, that's, that, that's not really a thing. 460 00:16:08,101 --> 00:16:09,361 That's just like a default. 461 00:16:09,631 --> 00:16:12,301 So moving beyond defaults, but not going too complicated 462 00:16:12,301 --> 00:16:14,431 where you're like, say, where you're just, you know, trying 463 00:16:14,431 --> 00:16:18,421 to, to create this thing that doesn't, isn't necessary. 464 00:16:18,691 --> 00:16:21,151 The ultimate id, the ultimate concept here is that. 465 00:16:21,461 --> 00:16:22,656 These are real people mm-hmm. 466 00:16:22,736 --> 00:16:24,131 Who are trying to buy your products. 467 00:16:24,521 --> 00:16:26,801 They have real problems and usually if you just 468 00:16:26,831 --> 00:16:28,901 understand where they're coming from and, and their, 469 00:16:28,901 --> 00:16:29,861 what they went through. 470 00:16:30,356 --> 00:16:32,336 You can start to say, oh yeah, this is why a real 471 00:16:32,336 --> 00:16:33,446 person didn't complete this. 472 00:16:33,446 --> 00:16:35,396 Because I, I failed them on my headline. 473 00:16:35,636 --> 00:16:37,616 I didn't have enough, uh, images. 474 00:16:37,616 --> 00:16:38,876 The images weren't very good. 475 00:16:38,876 --> 00:16:40,406 I had the highest price on the internet. 476 00:16:40,406 --> 00:16:41,486 I was not competitive. 477 00:16:41,816 --> 00:16:44,396 Those types of things I, I offer, I put a coupon code 478 00:16:44,456 --> 00:16:46,886 in the checkout when, when I actually don't want to offer 479 00:16:46,886 --> 00:16:48,506 a coupon code, and that's where they dropped off. 480 00:16:48,806 --> 00:16:51,596 So ultimately you're, you're using the data to, to tell you. 481 00:16:51,826 --> 00:16:52,996 What you need to pinpoint. 482 00:16:53,206 --> 00:16:53,296 Mm-hmm. 483 00:16:53,596 --> 00:16:56,206 And then pinpointing it, it goes back to the human element is 484 00:16:56,206 --> 00:16:59,416 like, why did this human, why do these humans not do that at 485 00:16:59,416 --> 00:17:00,436 the rate that I wanted them to? 486 00:17:02,776 --> 00:17:06,886 Matt Edmundson: Which is, uh, uh, I mean, that is just an 487 00:17:06,886 --> 00:17:07,816 interesting question, isn't it? 488 00:17:07,816 --> 00:17:09,856 Why, why do people not behave like they should? 489 00:17:09,856 --> 00:17:12,406 Dang it, uh, if I could solve that problem with 490 00:17:12,406 --> 00:17:14,596 analytics or whatever, I'd, I'd be a very wealthy man. 491 00:17:15,256 --> 00:17:15,736 Um. 492 00:17:18,206 --> 00:17:21,626 So the, uh, let's maybe think about some more basic questions. 493 00:17:21,656 --> 00:17:24,566 Uh, basics probably the wrong word, but, um, Google 494 00:17:24,566 --> 00:17:25,706 Analytics, yes or no, 495 00:17:27,086 --> 00:17:27,686 Jeff Saucer: Google Analytics. 496 00:17:27,686 --> 00:17:28,106 Four is. 497 00:17:29,066 --> 00:17:30,026 A good tool. 498 00:17:30,056 --> 00:17:32,936 It's not as beautiful as the original universal 499 00:17:32,936 --> 00:17:34,106 Analytics that we all loved. 500 00:17:34,466 --> 00:17:36,986 Um, but I, I don't know how you could get by without having 501 00:17:36,986 --> 00:17:38,066 that installed on your site. 502 00:17:38,096 --> 00:17:39,866 'cause it does add really, you know, high 503 00:17:39,866 --> 00:17:41,846 quality data to the mix. 504 00:17:41,876 --> 00:17:43,886 And also the integration with Google is, is 505 00:17:43,886 --> 00:17:44,846 as tight as it gets. 506 00:17:45,086 --> 00:17:47,366 Integrating with Search console, integrating with your Google 507 00:17:47,396 --> 00:17:50,576 Ads campaigns, integrating with different Google products. 508 00:17:50,771 --> 00:17:52,901 There's nothing that has that tight of an integration 509 00:17:52,901 --> 00:17:53,921 that can give you that data. 510 00:17:53,921 --> 00:17:57,041 Yeah, that can use it to train their advertising algorithms. 511 00:17:57,041 --> 00:17:58,961 That can let you do remarketing, that can 512 00:17:58,961 --> 00:18:00,191 do all the segmentation. 513 00:18:00,581 --> 00:18:00,701 Um, so. 514 00:18:02,201 --> 00:18:02,471 It. 515 00:18:02,471 --> 00:18:04,211 If you don't do it, you're missing out a lot. 516 00:18:04,241 --> 00:18:06,221 Especially if you are using Google Ads as a 517 00:18:06,221 --> 00:18:08,951 primary traffic driver or Google a organic search. 518 00:18:09,161 --> 00:18:09,461 Yeah. 519 00:18:09,791 --> 00:18:10,421 Which I mean, you're 520 00:18:10,421 --> 00:18:11,051 Matt Edmundson: going to be, aren't you? 521 00:18:11,051 --> 00:18:11,111 Yeah. 522 00:18:11,291 --> 00:18:14,681 I mean, at least for the next few years until, um, 523 00:18:14,741 --> 00:18:17,051 you know, they're no longer needed because I don't know, 524 00:18:17,711 --> 00:18:20,771 AI glasses do it all for you or something, you know? 525 00:18:20,771 --> 00:18:25,691 But, um, it, it, it sort of, it is one of those things 526 00:18:25,696 --> 00:18:28,781 I, I can get, I, I get why people are a little bit. 527 00:18:29,411 --> 00:18:32,771 Twitchy about putting Google Analytics on their website. 528 00:18:33,101 --> 00:18:35,981 Um, you know, especially with the Big Brother, you know, 529 00:18:35,981 --> 00:18:37,151 Google's watching everything. 530 00:18:37,421 --> 00:18:39,671 Uh, my general response to this is they're watching 531 00:18:39,671 --> 00:18:40,511 everything anyway. 532 00:18:40,631 --> 00:18:43,301 You know, it's, don't really think it's gonna make a 533 00:18:43,301 --> 00:18:45,701 massive difference, but you're right, the integrations 534 00:18:45,761 --> 00:18:48,761 seem to be getting better and better with Google. 535 00:18:48,971 --> 00:18:49,151 Yeah. 536 00:18:49,151 --> 00:18:52,151 Uh, in, in, in so many ways across their platforms. 537 00:18:52,631 --> 00:18:54,251 Jeff Saucer: And if you read the terms in service of 538 00:18:54,251 --> 00:18:58,061 service for, uh, for Google Analytics, they do not share 539 00:18:58,061 --> 00:18:59,051 data with their other products. 540 00:18:59,051 --> 00:19:01,451 It's the one thing where they, where they won't, Chrome does, 541 00:19:01,751 --> 00:19:03,851 like, there's other ones that, that don't tell you they don't 542 00:19:03,851 --> 00:19:06,161 share data, but Google Analytics does not share the data. 543 00:19:06,431 --> 00:19:08,471 Mm. They can't even access it unless you check a 544 00:19:08,471 --> 00:19:10,481 box that says that they specialist can look at it. 545 00:19:10,481 --> 00:19:12,461 So it's not, not shared data. 546 00:19:12,461 --> 00:19:14,771 You do own that data and that the reason why is it's the 547 00:19:14,771 --> 00:19:16,061 reason why they still are. 548 00:19:16,441 --> 00:19:19,051 Able to run in European Union because of that. 549 00:19:19,051 --> 00:19:21,781 So like, they basically had to take data privacy really 550 00:19:21,781 --> 00:19:23,071 seriously on that product. 551 00:19:23,071 --> 00:19:23,131 Yeah. 552 00:19:23,161 --> 00:19:25,381 And then you, you actually own the data Google does 553 00:19:25,381 --> 00:19:26,341 and they just store it for 554 00:19:26,341 --> 00:19:26,491 Matt Edmundson: you. 555 00:19:26,551 --> 00:19:26,881 Yeah. 556 00:19:27,361 --> 00:19:28,021 Fantastic. 557 00:19:28,021 --> 00:19:31,111 So are there any other, are there any competitors to 558 00:19:31,111 --> 00:19:33,331 Google Analytics that we should be thinking about? 559 00:19:34,021 --> 00:19:35,671 Jeff Saucer: Yeah, I mean, I, I know that a lot of 560 00:19:35,671 --> 00:19:38,521 big e-commerce stores are using Adobe Analytics. 561 00:19:38,611 --> 00:19:38,701 Mm-hmm. 562 00:19:38,941 --> 00:19:40,921 Um, and, and if you configure it, I mean. 563 00:19:41,311 --> 00:19:43,621 Just so you know, Google Analytics four, the new version 564 00:19:43,861 --> 00:19:45,511 does require some configuration. 565 00:19:45,571 --> 00:19:49,711 If you don't configure it at all, it, it's, it's worthless. 566 00:19:49,711 --> 00:19:49,801 Mm-hmm. 567 00:19:50,071 --> 00:19:51,301 There's no point in using it. 568 00:19:51,571 --> 00:19:53,881 If you don't do some configuration, you can set up, 569 00:19:53,881 --> 00:19:55,411 like things like custom events. 570 00:19:55,441 --> 00:19:58,291 You can, you can set up e-commerce tracking necessary. 571 00:19:58,411 --> 00:19:58,471 Yeah. 572 00:19:58,651 --> 00:20:00,781 You can set up your key events, what we used to call 573 00:20:00,781 --> 00:20:02,911 conversions, but that would be the same with Adobe. 574 00:20:02,911 --> 00:20:02,971 Yeah. 575 00:20:03,121 --> 00:20:05,311 Like if you're gonna put Adobe in place and you don't configure 576 00:20:05,311 --> 00:20:08,731 it to, to help your store make sense, it's you're gonna. 577 00:20:09,116 --> 00:20:10,976 It's just telling you clickstream data, which 578 00:20:10,976 --> 00:20:13,256 clickstream data is not, not really that important. 579 00:20:13,286 --> 00:20:14,726 'cause it doesn't tie to a result. 580 00:20:14,816 --> 00:20:14,906 Mm-hmm. 581 00:20:15,146 --> 00:20:16,796 It doesn't tie to the language you speak. 582 00:20:16,796 --> 00:20:18,026 So that's one. 583 00:20:18,056 --> 00:20:20,216 Um, amplitude is getting a lot of, um. 584 00:20:20,981 --> 00:20:24,461 People who left GA 360, specifically the, the paid 585 00:20:24,461 --> 00:20:26,471 version of Google Analytics have moved over to Amplitude. 586 00:20:26,921 --> 00:20:29,171 They're just like drinking from a fire hose now because 587 00:20:29,441 --> 00:20:33,101 a lot of e advanced e-commerce stores did want to have, uh, 588 00:20:33,101 --> 00:20:35,951 they, they're not gonna just ride with Google 'cause the 589 00:20:35,951 --> 00:20:37,991 initial release just didn't have everything they needed. 590 00:20:38,111 --> 00:20:38,201 Mm-hmm. 591 00:20:38,441 --> 00:20:39,971 So those are the two that are taking a lot of market 592 00:20:39,971 --> 00:20:41,621 share away from, from Google. 593 00:20:41,621 --> 00:20:41,801 Well, 594 00:20:41,801 --> 00:20:43,271 Matt Edmundson: you've kind of alluded to my next 595 00:20:43,271 --> 00:20:44,261 question in many ways. 596 00:20:44,261 --> 00:20:47,291 What is it that they offer then that Google's not offering? 597 00:20:48,191 --> 00:20:51,161 Jeff Saucer: Yeah, I. One can a, a clear product roadmap. 598 00:20:51,581 --> 00:20:51,731 Mm-hmm. 599 00:20:51,971 --> 00:20:53,711 And a clear customer segment. 600 00:20:53,711 --> 00:20:54,551 They're going after. 601 00:20:55,121 --> 00:20:56,981 I've been teaching Google Analytics in a classroom 602 00:20:56,981 --> 00:21:00,461 since 2010, and even back then I said Google Analytics. 603 00:21:00,461 --> 00:21:02,771 It's the same Google Analytics, whether you're doing it for 604 00:21:02,771 --> 00:21:05,831 your 10 person cat video blog, or you're doing it for 605 00:21:05,831 --> 00:21:07,931 the biggest e-commerce site in the web, in the internet. 606 00:21:07,931 --> 00:21:08,231 Right. 607 00:21:08,831 --> 00:21:10,901 It's the same Google Analytics when you install it, like 608 00:21:10,901 --> 00:21:11,946 it's the exact same product. 609 00:21:12,046 --> 00:21:12,466 Mm-hmm. 610 00:21:12,551 --> 00:21:14,291 And then it's all about your configuration. 611 00:21:14,351 --> 00:21:16,241 Now, if you did something that was more aligned with. 612 00:21:16,481 --> 00:21:18,281 An e-commerce specific tool. 613 00:21:18,491 --> 00:21:18,821 Mm-hmm. 614 00:21:19,001 --> 00:21:21,761 You already have a market that, that understands your language. 615 00:21:21,761 --> 00:21:22,031 Right. 616 00:21:22,031 --> 00:21:24,281 So that, that's, that's the main advantage to it, is that 617 00:21:24,551 --> 00:21:26,291 these are these specialty tools. 618 00:21:26,531 --> 00:21:29,531 They are geared towards your outcome. 619 00:21:29,741 --> 00:21:29,831 Mm-hmm. 620 00:21:30,071 --> 00:21:31,991 Versus every outcome for everybody on the internet. 621 00:21:31,991 --> 00:21:34,031 And so Google will never be able to compete in that same 622 00:21:34,031 --> 00:21:36,131 way as a specialty tool can. 623 00:21:36,431 --> 00:21:37,481 Um, yeah. 624 00:21:37,481 --> 00:21:37,691 But also. 625 00:21:37,691 --> 00:21:40,056 That integration and that tightness with, with other 626 00:21:40,056 --> 00:21:43,446 Google products, it's like, maybe make it one B then 627 00:21:43,476 --> 00:21:44,317 maybe it's not your mm-hmm. 628 00:21:44,376 --> 00:21:46,956 One A system, but it could be your one B 'cause how 629 00:21:46,956 --> 00:21:47,616 are you gonna find that? 630 00:21:47,616 --> 00:21:49,986 Otherwise, that's really cool. 631 00:21:50,226 --> 00:21:53,946 Matt Edmundson: Uh, and, and did you mentioned, um, you've 632 00:21:53,946 --> 00:21:56,466 seen larger companies use these. 633 00:21:56,736 --> 00:22:01,896 Is there a certain if, well, for example, if I'm, if I've 634 00:22:01,896 --> 00:22:04,086 recently started my econ business and I'm turning over, 635 00:22:04,086 --> 00:22:06,216 I don't know, 50, a hundred grand in the year, not, not 636 00:22:06,216 --> 00:22:07,146 massive amounts of money. 637 00:22:07,751 --> 00:22:08,891 Do I look at Adobe? 638 00:22:08,891 --> 00:22:09,941 Do I look at Amplitude? 639 00:22:09,941 --> 00:22:13,571 Or is there like a, is there a cost That's a big 640 00:22:13,571 --> 00:22:15,431 barrier to entry here that I need to be aware of. 641 00:22:15,581 --> 00:22:16,061 Jeff Saucer: I love it. 642 00:22:16,091 --> 00:22:18,311 This is, this is right in my, this is my jam right 643 00:22:18,311 --> 00:22:20,501 here, just talking about this type of geeky stuff. 644 00:22:20,801 --> 00:22:24,281 So generally speaking, um, you know, companies like 645 00:22:24,281 --> 00:22:25,271 an e-commerce company. 646 00:22:26,021 --> 00:22:28,301 They probably spend to marketing advertising 647 00:22:28,301 --> 00:22:30,521 maybe 20% of their budget. 648 00:22:30,521 --> 00:22:30,611 Mm-hmm. 649 00:22:30,851 --> 00:22:32,351 I, I don't really know you, you know that better than me, 650 00:22:32,351 --> 00:22:35,531 but let's just say they spend 20%, most companies spend 651 00:22:35,531 --> 00:22:38,636 between one and 2% on their analytics tools and the team. 652 00:22:38,736 --> 00:22:39,156 Mm-hmm. 653 00:22:39,241 --> 00:22:41,141 And so if you're a hundred million dollars store, 654 00:22:41,141 --> 00:22:43,061 you'd be putting a million to 2 million into that. 655 00:22:43,311 --> 00:22:45,651 You would definitely have the capacity to pay a 656 00:22:45,651 --> 00:22:48,981 hundred thousand dollars for Google Analytics for 360, 657 00:22:49,341 --> 00:22:51,651 that version, or the Adobe Analytics, and you'd have 658 00:22:51,651 --> 00:22:54,141 money left over to train your team and to get things going. 659 00:22:54,141 --> 00:22:54,231 Mm-hmm. 660 00:22:54,591 --> 00:22:56,781 If you're a million dollar store. 661 00:22:57,446 --> 00:22:59,966 You're talking about maybe $10,000 for that. 662 00:22:59,971 --> 00:23:00,311 Mm-hmm. 663 00:23:00,391 --> 00:23:02,126 That's where you hire a consultant to tag your 664 00:23:02,126 --> 00:23:04,706 site, to do it one time and to build you a dashboard. 665 00:23:04,706 --> 00:23:04,796 Mm-hmm. 666 00:23:05,036 --> 00:23:06,956 That's pretty much all you can afford at that rate. 667 00:23:07,316 --> 00:23:09,206 And so it really comes down to where you're at. 668 00:23:09,266 --> 00:23:12,871 Um, Avinash Kashic, who's a guy that I, I. 669 00:23:12,871 --> 00:23:14,366 Followed as I was learning. 670 00:23:14,456 --> 00:23:17,786 Um, Occam's razors, his blog, he called it the 10 90 Rule. 671 00:23:17,791 --> 00:23:17,951 Mm-hmm. 672 00:23:18,036 --> 00:23:21,656 10% goes to the people or to the tools, 90% to the brains. 673 00:23:22,046 --> 00:23:25,166 And so at a hundred thousand dollars for your analytics tool, 674 00:23:25,556 --> 00:23:27,476 that would mean that you need to add that million dollar budget. 675 00:23:27,476 --> 00:23:29,186 That means that you're in the a hundred million range. 676 00:23:29,186 --> 00:23:33,296 So most of these tools that the paid ones are priced towards 50 677 00:23:33,296 --> 00:23:35,006 plus million dollar entities. 678 00:23:35,306 --> 00:23:35,516 Yeah. 679 00:23:35,516 --> 00:23:37,616 And so that, and ultimately you can sort of self 680 00:23:37,616 --> 00:23:38,696 sortt based on that. 681 00:23:38,876 --> 00:23:41,456 Um, and, and I've, I've actually worked with companies that do. 682 00:23:42,836 --> 00:23:44,936 A hundred million plus in revenue and they still 683 00:23:44,936 --> 00:23:47,126 don't wanna pay Google for their paid tool. 684 00:23:47,126 --> 00:23:48,266 They get by on the free one. 685 00:23:48,581 --> 00:23:50,396 Um, um, and then that's just, that's just where they, 686 00:23:50,396 --> 00:23:52,076 they maybe they think that money should go elsewhere. 687 00:23:52,076 --> 00:23:54,086 Maybe they look at it as an expense where they could put 688 00:23:54,086 --> 00:23:56,846 that money into media, which is working for them, or they don't 689 00:23:56,846 --> 00:23:58,196 wanna pay for a configuration. 690 00:23:58,196 --> 00:24:01,706 But that's, you can self sort based on just the tool price and 691 00:24:01,706 --> 00:24:05,036 then that one to 2% of revenue being your entire function for 692 00:24:05,036 --> 00:24:05,666 Matt Edmundson: analytics. 693 00:24:06,551 --> 00:24:10,601 And so if I am, if I'm starting out then, uh, or I'm, you know, 694 00:24:10,601 --> 00:24:13,481 got a smaller site, uh, that's turning over, I don't know, 695 00:24:13,481 --> 00:24:20,471 half a million bucks, um, at, at this point to configure 696 00:24:20,471 --> 00:24:23,411 analytics well, and to give me the data that I need. 697 00:24:24,491 --> 00:24:27,731 I, I guess I can either learn it myself, you know, 698 00:24:27,791 --> 00:24:30,701 cue YouTube or cue the courses that you guys do. 699 00:24:31,241 --> 00:24:31,841 Um. 700 00:24:32,501 --> 00:24:37,031 Or I can go find a consultant maybe to help me set this up. 701 00:24:37,031 --> 00:24:37,331 Right. 702 00:24:37,451 --> 00:24:39,071 Um, have I understood that correctly? 703 00:24:39,671 --> 00:24:41,081 Jeff Saucer: Yeah, those are pretty much your options. 704 00:24:41,086 --> 00:24:41,566 Do it yourself. 705 00:24:41,966 --> 00:24:44,651 I. With a combination of self-education and you doing 706 00:24:44,651 --> 00:24:47,921 the work or get a consultant that's probably in the Upwork 707 00:24:48,011 --> 00:24:50,411 category for somebody who's doing half a million a year. 708 00:24:50,441 --> 00:24:50,531 Mm-hmm. 709 00:24:50,771 --> 00:24:52,331 You're probably not even, you're probably going to 710 00:24:52,361 --> 00:24:56,171 Upwork and finding somebody to really do it as a one-off, 711 00:24:56,171 --> 00:24:58,391 doing it as the install, the technical piece of it. 712 00:24:58,691 --> 00:25:01,361 You're not even really able to afford an analyst at that point. 713 00:25:01,361 --> 00:25:03,161 You're sort of your own analyst, but you're, you're 714 00:25:03,161 --> 00:25:05,831 just getting somebody to get you the, you know, to cut down 715 00:25:05,831 --> 00:25:07,061 on the learning curve on time. 716 00:25:07,351 --> 00:25:07,591 Yeah. 717 00:25:07,621 --> 00:25:09,991 Um, when you're a million plus, I think you might start 718 00:25:09,991 --> 00:25:12,571 looking at, at a, a true analyst or somebody who's 719 00:25:13,081 --> 00:25:14,251 giving you recommendations. 720 00:25:14,251 --> 00:25:16,621 That person usually pays for themselves because they're, 721 00:25:16,861 --> 00:25:19,501 they're telling you the pockets where you have revenue 722 00:25:19,501 --> 00:25:22,021 missed opportunities and stuff like that, where your ad 723 00:25:22,021 --> 00:25:23,221 spend can be more effective. 724 00:25:23,221 --> 00:25:26,421 I. Um, and then, you know, like that we, we do exist 725 00:25:26,421 --> 00:25:28,341 for a reason and we do have customers for a reason. 726 00:25:28,341 --> 00:25:30,831 And that's because there's stores, I mean, there's 727 00:25:30,831 --> 00:25:32,481 a lot of people who wanna self-educate, right? 728 00:25:32,481 --> 00:25:34,821 And the, and what they, what the value we have at Measure 729 00:25:34,821 --> 00:25:38,481 U is we have the courses, we have unlimited support. 730 00:25:38,481 --> 00:25:38,571 Mm-hmm. 731 00:25:38,616 --> 00:25:42,441 We have mentors, people, we have dozens of mentors who have gone 732 00:25:42,441 --> 00:25:45,261 through our materials, who have been doing this for five, 10 733 00:25:45,261 --> 00:25:47,031 years and they're ready to help. 734 00:25:47,031 --> 00:25:49,521 And so you sort of pay for that community that, that 735 00:25:49,521 --> 00:25:52,251 will support you doing these things on your own. 736 00:25:52,401 --> 00:25:52,851 Um. 737 00:25:53,561 --> 00:25:54,911 And so that's, that's really where we fit 738 00:25:54,911 --> 00:25:56,021 into the puzzle as well. 739 00:25:56,711 --> 00:25:59,921 Matt Edmundson: And is there, um, is AI getting better at 740 00:25:59,921 --> 00:26:04,451 helping you here analyze this stuff on a regular basis? 741 00:26:04,511 --> 00:26:06,581 Or is AI not quite there yet? 742 00:26:07,811 --> 00:26:09,701 Jeff Saucer: It's so funny, like, really like when do 743 00:26:09,701 --> 00:26:11,561 you release this episode is sort of the answer, right? 744 00:26:11,561 --> 00:26:13,841 Because it's like, as of, as of the time we're recording 745 00:26:13,841 --> 00:26:16,511 this, I would say that AI is. 746 00:26:17,741 --> 00:26:20,471 The integration's not quite there, but I mean, Google 747 00:26:20,471 --> 00:26:22,601 Gemini is my favorite AI engine. 748 00:26:22,631 --> 00:26:22,721 Mm-hmm. 749 00:26:22,961 --> 00:26:24,701 I think it's, I think it's the dark horse and I think 750 00:26:24,701 --> 00:26:27,191 it's gonna win, um, to a certain extent because of 751 00:26:27,191 --> 00:26:29,081 its integration with Google Suite and stuff like that. 752 00:26:29,141 --> 00:26:29,321 Yeah. 753 00:26:29,321 --> 00:26:31,661 Once that gets plugged into the Google Analytics, and they 754 00:26:31,661 --> 00:26:35,021 can do that, that level of, of ANA analysis, it's like 755 00:26:35,021 --> 00:26:38,081 game over for, for some of the old way of doing things. 756 00:26:38,231 --> 00:26:38,351 Mm-hmm. 757 00:26:38,591 --> 00:26:40,781 Um, it's only, it's inevitable like it will happen. 758 00:26:40,781 --> 00:26:43,241 I don't know when, um, it could be that it's already 759 00:26:43,241 --> 00:26:44,081 out there, you know? 760 00:26:44,291 --> 00:26:45,761 Um, but the reality is that. 761 00:26:46,066 --> 00:26:48,856 AI as long as it has access to the data set. 762 00:26:49,126 --> 00:26:49,246 Mm-hmm. 763 00:26:49,756 --> 00:26:51,886 And as long as it understands the data, it will be really 764 00:26:51,886 --> 00:26:54,436 good at finding trends and patterns out of it and 765 00:26:54,436 --> 00:26:55,576 giving recommendations. 766 00:26:55,576 --> 00:26:57,736 And so that's that, you know, with it, I think a year from 767 00:26:57,736 --> 00:27:01,816 now that that'll be pretty much guaranteed to happen. 768 00:27:01,936 --> 00:27:02,026 Mm-hmm. 769 00:27:02,266 --> 00:27:04,396 I'm actually quite surprised that it hasn't happened already. 770 00:27:04,906 --> 00:27:07,336 Um, I think a lot of it has to do with just the. 771 00:27:07,841 --> 00:27:09,941 I don't, I don't wanna get into a technical explanation, but it 772 00:27:09,941 --> 00:27:13,726 has to do with excess, excess of the a of the APIs that mm-hmm. 773 00:27:13,806 --> 00:27:14,651 Pull the data in. 774 00:27:14,801 --> 00:27:16,811 And then just, just integration among teams and 775 00:27:16,811 --> 00:27:19,421 then just the extensibility of, of these models. 776 00:27:19,691 --> 00:27:22,271 Um, but I, I think that Google having what I think 777 00:27:22,271 --> 00:27:23,801 is gonna be the winning. 778 00:27:23,951 --> 00:27:25,091 Large language model mm-hmm. 779 00:27:25,301 --> 00:27:27,671 In Gemini, and then the best integration, you already see 780 00:27:27,671 --> 00:27:29,051 it integrating into G Suite. 781 00:27:29,051 --> 00:27:31,541 It's gonna happen, um, relatively soon. 782 00:27:31,541 --> 00:27:33,761 I can only imagine into Google Analytics and into the 783 00:27:33,761 --> 00:27:35,081 entire advertising product. 784 00:27:35,081 --> 00:27:36,161 And they're doing it already. 785 00:27:36,431 --> 00:27:38,111 It's just that, it's not like you can't, you can't, like, 786 00:27:38,561 --> 00:27:40,001 it's not your assistant. 787 00:27:40,301 --> 00:27:42,131 It's more of like, it's, it's their assistant. 788 00:27:42,431 --> 00:27:42,671 Matt Edmundson: Yeah. 789 00:27:42,671 --> 00:27:43,301 Yeah, yeah. 790 00:27:43,301 --> 00:27:46,211 No, I mean, I mean, I, I logged into my, I don't 791 00:27:46,211 --> 00:27:47,621 normally log into Gmail. 792 00:27:47,621 --> 00:27:50,441 I have a Google Mail account, but I normally have a, a, um, 793 00:27:50,441 --> 00:27:51,761 just have it on the computer. 794 00:27:52,271 --> 00:27:54,881 Um, and then when I logged into it for whatever reason 795 00:27:54,881 --> 00:27:58,391 the other day, uh, and I saw Gemini was there, I was 796 00:27:58,391 --> 00:28:00,641 quite excited because I know you can switch it off, but 797 00:28:00,641 --> 00:28:02,231 I, I was very much like. 798 00:28:02,621 --> 00:28:04,421 Gemini, this is the email that I'm looking for. 799 00:28:04,421 --> 00:28:04,481 Yeah. 800 00:28:04,541 --> 00:28:05,621 Can you please find it? 801 00:28:05,621 --> 00:28:07,991 And yeah, Gemini goes away and goes, of course I can. 802 00:28:07,991 --> 00:28:08,471 Here it is. 803 00:28:08,471 --> 00:28:09,971 And you're like, holy cow. 804 00:28:10,361 --> 00:28:13,421 Um, this is quite an extraordinary new feature 805 00:28:13,421 --> 00:28:16,961 that, um, you now see on the G Suite with the docs 806 00:28:16,961 --> 00:28:18,731 and the spreadsheets and all that sort of stuff. 807 00:28:18,731 --> 00:28:22,991 And so I. Um, I, I'd like you, I think it's a bit of a dark 808 00:28:22,991 --> 00:28:26,351 horse, but the fact it is so well integrated in Google Yeah. 809 00:28:26,351 --> 00:28:28,211 Uh, is the most extraordinary thing. 810 00:28:28,211 --> 00:28:28,811 And so yeah. 811 00:28:28,811 --> 00:28:30,791 Whe when it comes out, who knows whether you'll be able to do 812 00:28:30,791 --> 00:28:32,441 this, uh, on your analytics. 813 00:28:33,191 --> 00:28:37,016 Um, I. But I am, I, I mean, I know that I can, I, I've 814 00:28:37,016 --> 00:28:39,596 done it before with large data sets as I've just given 815 00:28:39,596 --> 00:28:40,886 it to chat, GPT and gone. 816 00:28:40,886 --> 00:28:41,786 Tell me what you think. 817 00:28:42,236 --> 00:28:44,816 Um, I, I tend to be a little bit more creative, I suppose, 818 00:28:44,816 --> 00:28:46,226 in my prompt engineering. 819 00:28:46,556 --> 00:28:48,626 Uh, but in essence that's what you're asking for, isn't it? 820 00:28:48,626 --> 00:28:52,706 And it, and it can help you, um, analyze data. 821 00:28:52,736 --> 00:28:57,176 I guess the thing that I'm thinking of here, Jeff, is as 822 00:28:57,176 --> 00:28:58,286 a very good friend of mine. 823 00:28:58,526 --> 00:29:01,076 Um, Chris Ivers, who's a beautiful lady. 824 00:29:01,136 --> 00:29:04,016 Uh, I've just, actually, I need to, I need to get, lemme just 825 00:29:04,016 --> 00:29:05,486 make a note, contact Chris. 826 00:29:05,486 --> 00:29:06,776 I've not spoke to her for a while. 827 00:29:07,076 --> 00:29:10,766 Um, anyway, she has this great phrase that you, you don't 828 00:29:10,766 --> 00:29:11,726 know what you don't know. 829 00:29:11,966 --> 00:29:12,116 Jeff Saucer: Mm-hmm. 830 00:29:12,506 --> 00:29:15,026 Matt Edmundson: And I think sometimes with data and with 831 00:29:15,026 --> 00:29:18,001 ai, it can be a little bit like that if you kind of have 832 00:29:18,006 --> 00:29:21,656 a clue or an inkling, it can help you figure stuff out. 833 00:29:21,656 --> 00:29:24,656 But if you don't know, um. 834 00:29:25,751 --> 00:29:26,621 What you don't know. 835 00:29:26,621 --> 00:29:29,921 It's hard to look at the, it is hard to get that information 836 00:29:29,921 --> 00:29:30,731 out, if that makes sense. 837 00:29:30,731 --> 00:29:30,791 Yeah. 838 00:29:30,791 --> 00:29:32,891 I think you've gotta have a sort of, an interesting starting 839 00:29:32,891 --> 00:29:34,301 point along the right track. 840 00:29:35,171 --> 00:29:39,341 Um, and I guess it'll be, that'll be the interesting 841 00:29:39,341 --> 00:29:41,951 thing when you, when AI in effect becomes. 842 00:29:43,301 --> 00:29:46,271 Your permanent data analyst, you know? 843 00:29:46,481 --> 00:29:48,521 Um, and that can tell you what you don't know. 844 00:29:48,641 --> 00:29:48,851 Yeah. 845 00:29:48,851 --> 00:29:49,961 I've I've not seen that yet. 846 00:29:50,231 --> 00:29:52,511 Jeff Saucer: It's getting there for actually, so just to comment 847 00:29:52,511 --> 00:29:56,411 on that, we've, we've been in, in Gemini, we've been basically 848 00:29:56,411 --> 00:29:58,151 not taking the first response. 849 00:29:58,156 --> 00:29:58,286 Mm-hmm. 850 00:29:58,541 --> 00:30:00,341 Like we, we, like, they'll give us response. 851 00:30:00,341 --> 00:30:02,561 I'm like, that's a seven outta 10, but did you consider this? 852 00:30:02,561 --> 00:30:04,361 And then can you make this a nine outta 10? 853 00:30:04,691 --> 00:30:06,551 And then they'll redo it and it'll be better. 854 00:30:06,621 --> 00:30:08,631 And I'm like, okay, that's a nine outta 10. 855 00:30:08,781 --> 00:30:10,191 We, we still have the missing this thing. 856 00:30:10,191 --> 00:30:11,691 Can you make it a 10 outta 10 and they'll fix it? 857 00:30:11,961 --> 00:30:14,566 And so you can train this thing to just keep on getting better. 858 00:30:14,626 --> 00:30:15,046 Mm-hmm. 859 00:30:15,131 --> 00:30:17,901 And just keep on challenging it and it will self-heal 860 00:30:17,901 --> 00:30:18,891 and self-improve. 861 00:30:19,161 --> 00:30:21,201 And so, I mean that, that, that's, you could 862 00:30:21,201 --> 00:30:22,341 do that with analysis too. 863 00:30:22,521 --> 00:30:25,101 The question is, how big of a pain in the butt is 864 00:30:25,101 --> 00:30:26,031 it to get the data out? 865 00:30:26,061 --> 00:30:27,766 That's really the problem, is like, you have to get 866 00:30:27,766 --> 00:30:30,381 to download it into a flat file and then do this. 867 00:30:30,386 --> 00:30:30,406 Mm-hmm. 868 00:30:30,486 --> 00:30:31,491 And then get another file. 869 00:30:31,491 --> 00:30:34,101 That, that's the challenge I think right now is just that 870 00:30:34,401 --> 00:30:35,871 it's, it's actually getting it. 871 00:30:36,116 --> 00:30:38,456 The then what you need to feed it in there. 872 00:30:38,696 --> 00:30:42,296 Um, but that again, that that'll be solved relatively quickly. 873 00:30:42,356 --> 00:30:42,416 Yeah. 874 00:30:42,416 --> 00:30:44,516 And so then never say, yeah, like, we don't 875 00:30:44,516 --> 00:30:45,176 know what we don't know. 876 00:30:45,176 --> 00:30:47,516 And then also, like, I would never answer a question 877 00:30:47,516 --> 00:30:49,526 about whether AI can do something with the word never. 878 00:30:50,276 --> 00:30:52,301 It's just when it's, it's when, yeah. 879 00:30:52,306 --> 00:30:52,616 Yeah. 880 00:30:52,796 --> 00:30:53,396 Matt Edmundson: Yeah. 881 00:30:53,666 --> 00:30:55,406 But especially at the moment, you know, the, 882 00:30:55,406 --> 00:30:58,436 the, the race is piddling ahead very quick, isn't it? 883 00:30:59,186 --> 00:31:02,576 Um, now this is all very fascinating and I'm, I'm kind 884 00:31:02,576 --> 00:31:03,656 of curious, you know, we've. 885 00:31:04,736 --> 00:31:06,386 With your course. 886 00:31:06,596 --> 00:31:09,236 So let's say I, I do a half a million a year, I think. 887 00:31:09,236 --> 00:31:10,676 Well, I'm, I'm gonna go do Jeff's course. 888 00:31:10,676 --> 00:31:12,356 I'm gonna figure the whole analytics thing out. 889 00:31:13,226 --> 00:31:17,066 Um, I dunno if you've got any ironic, uh, data around 890 00:31:17,276 --> 00:31:21,386 this, but I tend to find, and this may be a personal thing, 891 00:31:21,566 --> 00:31:26,336 Jeff, uh, where I might go and do that, or I might ask 892 00:31:26,426 --> 00:31:29,096 one of the team members to do something like that course, 893 00:31:29,096 --> 00:31:31,976 and they go through it, they get it, they understand it. 894 00:31:32,621 --> 00:31:34,541 So we start off strong, right? 895 00:31:34,571 --> 00:31:36,521 As in, oh, we found this, this, and this. 896 00:31:36,521 --> 00:31:37,571 Let's go fix that. 897 00:31:38,021 --> 00:31:40,001 But six months later, everybody's forgotten about 898 00:31:40,001 --> 00:31:42,881 everything because there's just the normal run of 899 00:31:42,881 --> 00:31:45,461 day-to-day life, um, going on. 900 00:31:45,851 --> 00:31:50,531 So how important is it for me as an e-commerce entrepreneur to 901 00:31:50,531 --> 00:31:54,971 think about having someone maybe dedicated just to data analysis? 902 00:31:56,021 --> 00:31:57,581 Jeff Saucer: Yeah, I mean everything you gotta look 903 00:31:57,581 --> 00:31:59,741 at it is like, can you get an ROI from that? 904 00:32:00,371 --> 00:32:02,261 So say that you have half a million dollar 905 00:32:02,711 --> 00:32:05,831 store, you have limited resources, you get mm-hmm. 906 00:32:06,071 --> 00:32:07,031 Two or three, pick yours. 907 00:32:07,031 --> 00:32:07,241 Right. 908 00:32:07,241 --> 00:32:08,471 Would that be one of the two or three? 909 00:32:11,651 --> 00:32:11,921 Yeah. 910 00:32:11,921 --> 00:32:13,631 Would it be one of the two or three people that you end 911 00:32:13,631 --> 00:32:15,851 up choosing to, to put there? 912 00:32:16,346 --> 00:32:19,616 Uh, probably not because I'd rather have somebody 913 00:32:19,616 --> 00:32:20,456 running the ads. 914 00:32:20,666 --> 00:32:21,026 Yeah. 915 00:32:21,026 --> 00:32:24,146 I'd probably have somebody managing inventory. 916 00:32:24,416 --> 00:32:24,506 Mm-hmm. 917 00:32:24,776 --> 00:32:25,826 Um, sourcing product. 918 00:32:25,856 --> 00:32:27,266 There's, there's way more things to do. 919 00:32:27,266 --> 00:32:27,536 Right. 920 00:32:27,536 --> 00:32:29,696 And that might be you wearing all those hats, right? 921 00:32:29,701 --> 00:32:29,761 Mm-hmm. 922 00:32:29,841 --> 00:32:30,746 You might get that point. 923 00:32:32,006 --> 00:32:33,386 Usually it's when you get to that. 924 00:32:33,971 --> 00:32:34,571 Ten-ish people. 925 00:32:34,571 --> 00:32:34,661 Mm-hmm. 926 00:32:35,051 --> 00:32:37,301 Like when you have two people in marketing, the third one 927 00:32:37,301 --> 00:32:38,831 should be an analyst, I think. 928 00:32:39,131 --> 00:32:39,251 Yeah. 929 00:32:39,281 --> 00:32:42,191 Um, or you, there's more, there's more value in analyzing 930 00:32:42,191 --> 00:32:44,981 inventory, analyzing product choices and stuff like that. 931 00:32:45,401 --> 00:32:46,331 But at some point. 932 00:32:47,981 --> 00:32:50,801 Literally it'll pay for itself 10 times over by 933 00:32:50,801 --> 00:32:52,271 not wasting money on ads. 934 00:32:52,511 --> 00:32:52,631 Mm-hmm. 935 00:32:53,111 --> 00:32:57,401 By not wasting money on traffic, however you generate 936 00:32:57,401 --> 00:32:59,111 it, that just isn't efficient. 937 00:32:59,111 --> 00:32:59,891 That goes away. 938 00:33:00,101 --> 00:33:03,071 Having an eye on the site and that customer experience 939 00:33:03,071 --> 00:33:06,131 and tying it all together, eventually you lose money by 940 00:33:06,131 --> 00:33:07,601 not doing it versus gaining. 941 00:33:07,601 --> 00:33:08,981 So, um, a lot of like. 942 00:33:09,476 --> 00:33:11,486 I've been in this industry for long enough that it's 943 00:33:11,486 --> 00:33:13,826 treated as an expense center for most companies. 944 00:33:14,036 --> 00:33:14,126 Mm-hmm. 945 00:33:14,366 --> 00:33:16,976 But those who treat it as a profit center and can see 946 00:33:16,976 --> 00:33:19,796 the light are the ones who are at the cutting edge. 947 00:33:19,976 --> 00:33:20,216 Yep. 948 00:33:20,276 --> 00:33:23,246 They're the ones who are compounding the value of doing 949 00:33:23,246 --> 00:33:26,066 this, and they're the ones who are growing versus the people 950 00:33:26,066 --> 00:33:28,136 who are like, I don't see the value in investing in that. 951 00:33:28,136 --> 00:33:29,686 Or it, you know, it's not worth it. 952 00:33:29,956 --> 00:33:32,206 They end up just staying in the same spot because they 953 00:33:32,206 --> 00:33:34,606 don't have the data in order to tell them how to improve. 954 00:33:34,606 --> 00:33:36,196 They can't see the patterns because they're 955 00:33:36,196 --> 00:33:37,126 not addressing it. 956 00:33:37,426 --> 00:33:39,646 So it's not an expense center, it's a profit center 957 00:33:39,646 --> 00:33:40,786 when yielded properly. 958 00:33:41,056 --> 00:33:43,486 But at some, I mean, if you're too young, too early in this 959 00:33:43,486 --> 00:33:44,686 thing, it's just an expense. 960 00:33:45,016 --> 00:33:45,226 Yeah. 961 00:33:45,226 --> 00:33:48,466 But if you invested in, in our courses, learned our framework, 962 00:33:48,466 --> 00:33:51,856 implemented it, and then had somebody who, and you loved 963 00:33:51,856 --> 00:33:54,256 it and you made it part of what you're doing, that'll 964 00:33:54,256 --> 00:33:57,676 be a reason why you double your revenue year over year. 965 00:33:58,016 --> 00:33:58,436 Matt Edmundson: Yeah. 966 00:33:58,766 --> 00:33:59,876 Yeah, no, fair comment. 967 00:34:00,086 --> 00:34:00,626 Fair comment. 968 00:34:01,136 --> 00:34:03,236 I, I, I do find, um. 969 00:34:04,091 --> 00:34:06,461 With a lot of these things, the, the more I try and do, 970 00:34:06,461 --> 00:34:07,841 the less I seem to get done. 971 00:34:08,381 --> 00:34:11,801 Um, and so I'm, I'm very aware that, that finding 972 00:34:11,801 --> 00:34:15,731 people to help me is, is a, is a beautiful thing. 973 00:34:15,731 --> 00:34:18,941 Whether that's agencies, whether that's consultants, whether 974 00:34:18,941 --> 00:34:22,511 that's people on network or Fiverr, whether that's part-time 975 00:34:22,511 --> 00:34:26,261 staff, whatever it is, I, um, if it, I've found that the 976 00:34:26,261 --> 00:34:28,031 more it's reliant on me that. 977 00:34:28,271 --> 00:34:30,731 The less likely it is to happen Yeah. 978 00:34:30,731 --> 00:34:31,571 In the long run, you know? 979 00:34:31,691 --> 00:34:33,761 Jeff Saucer: And that's, that's challenging for the, especially 980 00:34:33,761 --> 00:34:34,841 for the owner of the business. 981 00:34:34,841 --> 00:34:37,931 Like you DIYed yourself into the business. 982 00:34:37,931 --> 00:34:39,221 Like you had to figure out all these things out. 983 00:34:39,221 --> 00:34:39,311 Mm-hmm. 984 00:34:39,551 --> 00:34:41,081 At some point you can't learn anymore. 985 00:34:41,411 --> 00:34:43,601 Um, so we do offer do it yourself. 986 00:34:43,601 --> 00:34:46,211 Like just buy a course, learn it, go implement it. 987 00:34:46,211 --> 00:34:48,191 Then we have done with you, that's the majority of our 988 00:34:48,191 --> 00:34:50,771 customers where they're in a community, they're asking 989 00:34:50,771 --> 00:34:52,781 questions and that's, that's more geared towards the 990 00:34:52,781 --> 00:34:56,681 freelancer slash agencies that you work with and the employees. 991 00:34:56,906 --> 00:34:58,196 Not to the business owner. 992 00:34:58,196 --> 00:35:00,896 And then we also do done for you services, which is where the, 993 00:35:00,896 --> 00:35:03,206 the owner wants the result and they're like, I just wanna pay 994 00:35:03,206 --> 00:35:04,586 for the result from experts. 995 00:35:04,946 --> 00:35:07,106 That's, that's our done for, for you service. 996 00:35:07,106 --> 00:35:08,336 Where, where you can get to that point. 997 00:35:08,606 --> 00:35:09,416 At no point. 998 00:35:09,791 --> 00:35:12,941 Really is, would I recommend that the business owner 999 00:35:12,941 --> 00:35:16,961 themselves get heavily into the technical pieces of analytics 1000 00:35:16,961 --> 00:35:20,501 because, um, they have other things to solve usually, and if 1001 00:35:20,501 --> 00:35:22,511 you can allocate money towards it, that that's something 1002 00:35:22,511 --> 00:35:24,701 where, where there, there's people who will excel at that. 1003 00:35:24,701 --> 00:35:27,191 Very rarely does somebody start a e-commerce store 1004 00:35:27,191 --> 00:35:29,501 and then want to become the master at analytics. 1005 00:35:30,761 --> 00:35:34,061 Matt Edmundson: Uh, y Well, yeah, I, to be fair, 1006 00:35:34,061 --> 00:35:34,961 I've met a few of them. 1007 00:35:35,261 --> 00:35:38,081 Um, but yeah, on the whole, I I would, I would tend to agree. 1008 00:35:38,081 --> 00:35:40,181 I'm, it's, it's an interesting one, isn't it? 1009 00:35:40,181 --> 00:35:43,301 The, the who does it in the organization. 1010 00:35:43,601 --> 00:35:46,601 Um, and I think actually quite rightly, given it the 1011 00:35:46,661 --> 00:35:49,211 do and the importance, um. 1012 00:35:49,796 --> 00:35:52,706 That, that, that, that you have especially 'cause 1013 00:35:52,706 --> 00:35:54,236 like you said, there's so many options you can learn. 1014 00:35:54,236 --> 00:35:54,296 Yeah. 1015 00:35:54,296 --> 00:35:56,276 You can do the done with you and you can do the done for you. 1016 00:35:56,276 --> 00:35:56,936 Yeah, exactly. 1017 00:35:57,086 --> 00:35:57,176 Jeff Saucer: Yeah. 1018 00:35:57,176 --> 00:35:58,226 I mean, you can be a leader. 1019 00:35:58,316 --> 00:35:59,816 You can say that data's important. 1020 00:35:59,816 --> 00:36:01,166 You can say these things are there, but you're not 1021 00:36:01,166 --> 00:36:03,326 gonna be going and figuring out how to configure it and 1022 00:36:03,326 --> 00:36:06,146 like researching how to get JavaScript on your site or what 1023 00:36:06,146 --> 00:36:07,676 tag management solution to use. 1024 00:36:08,036 --> 00:36:09,536 Ultimately, you're gonna just champion that this 1025 00:36:09,536 --> 00:36:11,786 is important to us, that we want this versus not. 1026 00:36:12,356 --> 00:36:15,386 We wanna see answers, we wanna see it clearly, and 1027 00:36:15,386 --> 00:36:16,376 this is important to us. 1028 00:36:16,376 --> 00:36:17,156 Go figure it out. 1029 00:36:17,201 --> 00:36:18,206 Matt Edmundson: Yeah, yeah, yeah. 1030 00:36:18,206 --> 00:36:18,926 No fair play. 1031 00:36:19,181 --> 00:36:19,721 Fair play. 1032 00:36:20,801 --> 00:36:22,931 How important is it? 1033 00:36:23,316 --> 00:36:25,871 And, and I've heard, and I appreciate just hearing 1034 00:36:25,871 --> 00:36:26,771 the question in my head. 1035 00:36:26,771 --> 00:36:29,201 It sounds a little bit silly, but I have heard both sides of 1036 00:36:29,201 --> 00:36:31,361 the, the, the argument here. 1037 00:36:31,481 --> 00:36:32,771 I'm curious to see where you sit. 1038 00:36:33,311 --> 00:36:35,171 How important is air AB testing? 1039 00:36:36,641 --> 00:36:39,071 Jeff Saucer: So we, that's funny 'cause we. 1040 00:36:39,491 --> 00:36:43,661 Are now pioneering what we teach as the anti AB testing. 1041 00:36:44,501 --> 00:36:47,291 And, and I'll be qualified for a second, but, um, no, 1042 00:36:47,291 --> 00:36:48,041 let's just leave it there. 1043 00:36:48,656 --> 00:36:48,946 Yeah. 1044 00:36:50,141 --> 00:36:50,771 No, sorry, go. 1045 00:36:50,771 --> 00:36:51,371 Yeah, no, no. 1046 00:36:51,371 --> 00:36:52,421 Actually you can just leave it there. 1047 00:36:52,421 --> 00:36:57,131 But, um, AB testing is a, is this whole I idea that. 1048 00:36:57,566 --> 00:36:59,486 It comes down to just one subject line 1049 00:36:59,486 --> 00:37:00,236 versus the other one. 1050 00:37:00,236 --> 00:37:01,676 Image versus the other button. 1051 00:37:01,676 --> 00:37:03,206 Color yellow versus orange. 1052 00:37:03,386 --> 00:37:03,476 Mm-hmm. 1053 00:37:03,716 --> 00:37:06,086 And ultimately that is, that only works if you 1054 00:37:06,086 --> 00:37:09,206 have so much traffic and so many people coming in that 1055 00:37:09,206 --> 00:37:12,566 you can see statistical significance in doing that. 1056 00:37:12,566 --> 00:37:12,656 Mm-hmm. 1057 00:37:13,046 --> 00:37:15,506 Versus I mentioned the eyes and the journey, the different, 1058 00:37:15,506 --> 00:37:17,546 the five different points where you can lose somebody. 1059 00:37:17,636 --> 00:37:17,726 Mm-hmm. 1060 00:37:17,966 --> 00:37:18,596 On a page. 1061 00:37:19,016 --> 00:37:22,076 If you just look at that and you say, okay, normally we lose. 1062 00:37:22,421 --> 00:37:26,561 30% of people after the headline are above the fold and 1063 00:37:26,561 --> 00:37:28,691 you're at, you're losing 60%. 1064 00:37:29,441 --> 00:37:31,331 What will happen is that'll tell you, this is 1065 00:37:31,331 --> 00:37:32,051 where you need to focus. 1066 00:37:32,051 --> 00:37:34,061 If you can't fix this thing, nothing else matters. 1067 00:37:34,061 --> 00:37:35,681 This is the biggest leak in the funnel. 1068 00:37:36,371 --> 00:37:38,231 Then all you need to do is go fix that thing. 1069 00:37:38,261 --> 00:37:40,931 Now, one way you can fix that is through an AB test. 1070 00:37:41,081 --> 00:37:41,261 Yeah. 1071 00:37:41,261 --> 00:37:43,481 Another way to do it is if it's at 60% and you know it's 1072 00:37:43,481 --> 00:37:44,921 failing, is to do a complete. 1073 00:37:45,086 --> 00:37:45,566 Overhaul. 1074 00:37:45,566 --> 00:37:47,966 You don't need to test the old crappy one that's not working. 1075 00:37:48,236 --> 00:37:48,386 Yeah. 1076 00:37:48,386 --> 00:37:50,486 You, you know exactly where your problem is. 1077 00:37:50,606 --> 00:37:50,756 Hmm. 1078 00:37:50,786 --> 00:37:52,946 So would you ab, if you have like a funnel, like in real 1079 00:37:52,946 --> 00:37:54,986 life, if you have a funnel and oil's just spitting all 1080 00:37:54,986 --> 00:37:57,266 over the place, you know, would you ab test whether you 1081 00:37:57,266 --> 00:37:58,466 should plug that hole or not? 1082 00:37:58,466 --> 00:37:59,366 Or would you just plug the hole? 1083 00:38:00,236 --> 00:38:02,666 I think AB testing is something that buys people time. 1084 00:38:03,026 --> 00:38:03,086 Yeah. 1085 00:38:03,086 --> 00:38:04,316 And it makes them feel smart. 1086 00:38:04,821 --> 00:38:06,801 But ultimately the reality is it only is reserved 1087 00:38:06,801 --> 00:38:09,111 for traffic, high traffic sites that get that. 1088 00:38:09,231 --> 00:38:12,471 You know, if you're Best Buy or Google, you can AB test and you 1089 00:38:12,471 --> 00:38:14,751 can actually have significant weight in a couple days. 1090 00:38:15,021 --> 00:38:17,541 If you're a small store, you should just plug that hole 1091 00:38:17,871 --> 00:38:20,241 and figure out how to, and figure out the fastest way to 1092 00:38:20,241 --> 00:38:22,581 plug that hole so you can keep on going live another day. 1093 00:38:24,206 --> 00:38:26,366 Matt Edmundson: That's a really interesting, uh, observation. 1094 00:38:26,516 --> 00:38:33,116 Um, I, I, I, with AB testing, I, I think I get the point 1095 00:38:33,116 --> 00:38:36,716 that actually you have to have data to make data, to have a 1096 00:38:36,716 --> 00:38:37,826 data significance, don't you? 1097 00:38:37,826 --> 00:38:41,876 To, to actually find stuff of meaning. 1098 00:38:42,236 --> 00:38:44,156 Um, so if you've only got four people coming to your 1099 00:38:44,156 --> 00:38:48,716 website, I dunno, it's, well, how are you gonna measure it? 1100 00:38:48,716 --> 00:38:48,986 Right? 1101 00:38:49,406 --> 00:38:54,176 Um, so no, I, I totally get that and I, I. I've not heard 1102 00:38:54,176 --> 00:38:57,206 the argument before that AB testing buys you, buys you time, 1103 00:38:57,206 --> 00:38:58,886 which I actually really like. 1104 00:38:59,456 --> 00:39:01,676 It's almost like a procrastinator's dream 1105 00:39:01,676 --> 00:39:03,716 because I don't have to make a decision right now. 1106 00:39:03,716 --> 00:39:05,396 I can put it off and test it against this 1107 00:39:05,396 --> 00:39:06,296 other thing over here. 1108 00:39:06,596 --> 00:39:07,106 I'm smart. 1109 00:39:07,226 --> 00:39:08,066 Put on my lab coat. 1110 00:39:08,066 --> 00:39:08,576 I'm smart. 1111 00:39:08,846 --> 00:39:09,446 Yeah. 1112 00:39:09,446 --> 00:39:09,447 Yeah. 1113 00:39:09,776 --> 00:39:10,946 Smart procrastination. 1114 00:39:10,951 --> 00:39:13,826 I, I, I, I've not heard that argument before, so I'm, I'm 1115 00:39:13,826 --> 00:39:15,176 gonna remember that one Jeff. 1116 00:39:15,926 --> 00:39:16,316 Um. 1117 00:39:17,391 --> 00:39:17,631 Right. 1118 00:39:17,631 --> 00:39:20,541 This is a stage of the, the show where I, uh, ask 1119 00:39:20,541 --> 00:39:22,791 you for a question for me, Jeff, while I remember. 1120 00:39:23,721 --> 00:39:24,081 Yeah. 1121 00:39:24,531 --> 00:39:27,081 Jeff Saucer: So this is one, you might have heard this before, 1122 00:39:27,321 --> 00:39:32,181 um, but is there an op, is there a trend that you, that you 1123 00:39:32,181 --> 00:39:33,771 didn't act on that you regret? 1124 00:39:34,196 --> 00:39:35,816 In the world of eCommerce, is there something 1125 00:39:35,816 --> 00:39:36,506 that you was like, man, 1126 00:39:36,506 --> 00:39:36,596 Matt Edmundson: I 1127 00:39:36,596 --> 00:39:37,496 Jeff Saucer: wish I would've done that. 1128 00:39:37,766 --> 00:39:38,456 Matt Edmundson: Oh yes. 1129 00:39:38,966 --> 00:39:39,986 How long we got anyway? 1130 00:39:40,286 --> 00:39:41,576 Uh, I'm not gonna answer that now. 1131 00:39:41,906 --> 00:39:44,906 I'm gonna get into that on my social media. 1132 00:39:44,906 --> 00:39:46,706 Come follow me on LinkedIn at Edmonton. 1133 00:39:47,216 --> 00:39:50,426 Uh, and I will be answering that question there along 1134 00:39:50,426 --> 00:39:52,196 with all the other questions I get asked on this show. 1135 00:39:52,196 --> 00:39:53,426 But that was a really good question. 1136 00:39:53,686 --> 00:39:56,056 Um, uh, self-reflection. 1137 00:39:56,056 --> 00:39:58,366 Now we could even talk about regret, uh, 1138 00:39:58,606 --> 00:39:59,626 and is it worthwhile? 1139 00:39:59,626 --> 00:40:01,876 But I'm not a psychologist, so probably should avoid that. 1140 00:40:02,356 --> 00:40:04,726 Um, um, but no, I love that question. 1141 00:40:05,326 --> 00:40:05,626 Jeff. 1142 00:40:05,626 --> 00:40:09,916 If people wanna find out more about the stuff that you are 1143 00:40:09,916 --> 00:40:13,486 doing, um, you know, maybe about the course, maybe about 1144 00:40:13,486 --> 00:40:16,156 the done with you service or the done for you service, 1145 00:40:16,546 --> 00:40:17,621 where's the best place to go? 1146 00:40:18,236 --> 00:40:20,966 Jeff Saucer: Yeah, so I'd love you to go to measureu.com, 1147 00:40:21,116 --> 00:40:23,586 the word measure, and then 'u' a the end .com. 1148 00:40:23,606 --> 00:40:24,746 You can see it in my shirt as well. 1149 00:40:24,746 --> 00:40:25,916 If you're watching this on video. 1150 00:40:26,306 --> 00:40:29,066 And we have a free community, and that free community 1151 00:40:29,066 --> 00:40:31,166 is, it's packed with resources we have mm-hmm. 1152 00:40:31,466 --> 00:40:34,646 Uh, tools that you can use for the e-commerce calculators. 1153 00:40:34,646 --> 00:40:36,176 How much money should I spend with my ads? 1154 00:40:36,176 --> 00:40:38,306 How much should I spend with our, how, how do I 1155 00:40:38,306 --> 00:40:39,386 set up Google Analytics? 1156 00:40:39,386 --> 00:40:41,366 How do I tag my site and stuff like that. 1157 00:40:41,456 --> 00:40:42,776 Lots of free resources. 1158 00:40:43,586 --> 00:40:46,376 Plus workshops, tons of workshops you can use in order 1159 00:40:46,376 --> 00:40:49,226 to do, um, there, there are 10, 10 to 20 minute videos that 1160 00:40:49,226 --> 00:40:50,456 tell you to do a single task. 1161 00:40:50,456 --> 00:40:51,416 How do you do this thing? 1162 00:40:51,806 --> 00:40:53,456 And that's our free community. 1163 00:40:53,456 --> 00:40:55,676 We have a little, we have a, a student lounge in there too. 1164 00:40:55,706 --> 00:40:57,776 Thousands of people are in there asking questions 1165 00:40:57,776 --> 00:41:00,116 about the different platforms around analytics. 1166 00:41:00,296 --> 00:41:02,006 So our free community has more value than 1167 00:41:02,006 --> 00:41:03,086 most paid communities. 1168 00:41:03,086 --> 00:41:04,136 I can promise you that. 1169 00:41:04,436 --> 00:41:06,056 And um, and then if you like that. 1170 00:41:06,071 --> 00:41:07,961 You'll get on our mailing list and then we'll talk to you 1171 00:41:07,961 --> 00:41:09,281 about what other offers we have. 1172 00:41:09,461 --> 00:41:10,961 You can buy individual courses. 1173 00:41:10,961 --> 00:41:14,681 You can get all of our courses for one lifetime fee, which 1174 00:41:14,681 --> 00:41:17,171 a lot of people don't do, but you, you know, we have, um, 1175 00:41:17,411 --> 00:41:20,891 dozens and dozens of courses that you can get for one charge. 1176 00:41:21,101 --> 00:41:22,181 We also have coaching. 1177 00:41:22,181 --> 00:41:22,241 We. 1178 00:41:22,356 --> 00:41:24,606 Um, through our accelerator program where we'll, we'll 1179 00:41:24,606 --> 00:41:27,636 actually, um, multiple times a week, about 200 times a year, 1180 00:41:27,636 --> 00:41:30,066 you can jump on with a live call with one of our mentor 1181 00:41:30,066 --> 00:41:32,886 experts and instructors to get your question answered. 1182 00:41:33,246 --> 00:41:35,586 And then, um, we do the done for you service as well. 1183 00:41:35,766 --> 00:41:38,256 That's not for everybody, not for most, but if you really 1184 00:41:38,256 --> 00:41:40,566 just want this thing done from the people who invented the 1185 00:41:40,566 --> 00:41:42,756 frameworks and who know how to do this thing, that's where 1186 00:41:42,756 --> 00:41:43,806 we can help you out as well. 1187 00:41:43,956 --> 00:41:45,966 And so that's a little bit of your background of, of 1188 00:41:45,966 --> 00:41:48,486 how you can take advantage of what we do at Measure U. 1189 00:41:49,031 --> 00:41:49,781 Matt Edmundson: Fantastic. 1190 00:41:49,781 --> 00:41:51,841 And that's measureu.com. 1191 00:41:52,421 --> 00:41:55,121 Uh, U as in, I assume it stands for university? 1192 00:41:55,541 --> 00:41:55,871 Yes. 1193 00:41:55,871 --> 00:41:57,461 Uh, or unguarded, maybe. 1194 00:41:57,521 --> 00:41:59,411 Uh, unappreciated. 1195 00:41:59,411 --> 00:41:59,861 I don't know. 1196 00:41:59,861 --> 00:42:02,651 I'm just wax lyrical about, but it is a, it, 1197 00:42:02,651 --> 00:42:04,751 it, it reminds me of, um. 1198 00:42:05,831 --> 00:42:06,971 I dunno why Jeff? 1199 00:42:06,971 --> 00:42:10,001 It reminds me of the movie my kids watched when they were 1200 00:42:10,001 --> 00:42:11,771 younger, the Monsters Inc. Okay. 1201 00:42:11,771 --> 00:42:16,031 Didn't they have Monster U um, as a sort of, this is the 1202 00:42:16,031 --> 00:42:18,041 University of Monsters and I thought, okay, it's brilliant. 1203 00:42:18,646 --> 00:42:21,431 Uh, so Measure U we would of course link to 1204 00:42:21,431 --> 00:42:22,601 that in the show notes. 1205 00:42:23,111 --> 00:42:24,911 Um, are you on LinkedIn? 1206 00:42:24,911 --> 00:42:26,741 Do you do that whole thing or is it just on the website? 1207 00:42:27,001 --> 00:42:27,181 Jeff Saucer: Yep. 1208 00:42:27,241 --> 00:42:30,431 LinkedIn, uh, linkedin.com/jeffsauer 1209 00:42:30,431 --> 00:42:31,601 in/jeffsauer. 1210 00:42:31,951 --> 00:42:32,881 You can check me out on there. 1211 00:42:32,941 --> 00:42:35,011 Um, we're trying to get more active and, and putting 1212 00:42:35,011 --> 00:42:37,021 stuff outta the community onto our social channels. 1213 00:42:37,021 --> 00:42:39,121 By the time you watch this, hopefully we'll have some 1214 00:42:39,121 --> 00:42:41,701 cool videos and clips on there, but we are producing 1215 00:42:41,701 --> 00:42:42,781 content all the time. 1216 00:42:42,841 --> 00:42:44,101 We, we love this stuff. 1217 00:42:44,131 --> 00:42:44,221 Mm-hmm. 1218 00:42:44,461 --> 00:42:46,291 We've been doing it for, for a long time. 1219 00:42:46,381 --> 00:42:49,111 Um, and yeah, we always are just talking about the new 1220 00:42:49,111 --> 00:42:52,321 trends and what's happening, um, with, with your tools and, 1221 00:42:52,321 --> 00:42:53,431 and how to get the most of it. 1222 00:42:53,431 --> 00:42:55,471 And then how to think about measurement in general. 1223 00:42:55,471 --> 00:42:55,531 Mm. 1224 00:42:56,051 --> 00:42:56,741 Matt Edmundson: Fantastic. 1225 00:42:56,771 --> 00:42:59,471 Well, we'll link to that as well in the show notes, 1226 00:42:59,471 --> 00:43:02,411 which you can get along, uh, with the transcript and the 1227 00:43:02,411 --> 00:43:05,001 show notes for free on the website ecommercepodcast.net. 1228 00:43:05,021 --> 00:43:07,511 Of course, if you are on an app listening to this, as I know 1229 00:43:07,931 --> 00:43:12,311 99.95% of you are looking at the data that we have, Jeff, 1230 00:43:12,611 --> 00:43:15,431 everyone's listening to this show on a phone either with 1231 00:43:15,431 --> 00:43:16,991 Apple Podcast or Spotify. 1232 00:43:16,991 --> 00:43:18,341 It seems to be the way it works. 1233 00:43:18,866 --> 00:43:21,926 Um, and so the links will be of course, in the show notes 1234 00:43:21,956 --> 00:43:24,686 on the app as well, which you can get us by scrolling down, 1235 00:43:24,986 --> 00:43:26,066 which is a beautiful thing. 1236 00:43:26,576 --> 00:43:29,036 Uh, Jeff, listen, uh, great to meet you, man. 1237 00:43:29,036 --> 00:43:30,866 Really excited about what you guys are doing. 1238 00:43:30,866 --> 00:43:33,341 I. Thanks for coming on the show and clearing up a 1239 00:43:33,341 --> 00:43:35,591 few things, a few questions that I had in my head. 1240 00:43:36,041 --> 00:43:38,261 Um, but uh, genuinely lovely to meet you. 1241 00:43:38,261 --> 00:43:39,041 Thanks so much. 1242 00:43:39,191 --> 00:43:40,001 Yeah, Matt, this is great. 1243 00:43:40,001 --> 00:43:40,991 Thanks so much for having me. 1244 00:43:41,471 --> 00:43:42,041 No worries. 1245 00:43:42,041 --> 00:43:43,811 Listen, we have to do that huge round of applause thing. 1246 00:43:43,991 --> 00:43:44,171 Yes. 1247 00:43:44,171 --> 00:43:44,801 There we go. 1248 00:43:46,001 --> 00:43:46,241 Yeah. 1249 00:43:46,241 --> 00:43:46,512 There we go. 1250 00:43:46,751 --> 00:43:48,521 Uh, not too much, but that, that was enough. 1251 00:43:50,801 --> 00:43:51,311 Brilliant. 1252 00:43:51,371 --> 00:43:52,211 That's fantastic. 1253 00:43:52,211 --> 00:43:55,691 Well, huge thanks again to Jeff for joining me today. 1254 00:43:56,021 --> 00:43:58,451 Now, be follow, uh, short for be follow. 1255 00:43:58,871 --> 00:43:59,141 No, no. 1256 00:43:59,141 --> 00:44:01,721 Just be sure to follow, uh, the e-commerce podcast 1257 00:44:01,721 --> 00:44:03,641 where you get your, wherever you get your podcast from 1258 00:44:03,641 --> 00:44:05,981 because we've got some more great conversations lined up. 1259 00:44:06,491 --> 00:44:08,411 And of course, I don't want you to miss any of them. 1260 00:44:08,531 --> 00:44:10,451 And in case no one has told you yet. 1261 00:44:10,491 --> 00:44:11,691 Day, let me be the first. 1262 00:44:11,691 --> 00:44:12,861 You are awesome. 1263 00:44:12,861 --> 00:44:14,271 Yes, you are created. 1264 00:44:14,271 --> 00:44:14,721 Awesome. 1265 00:44:14,721 --> 00:44:17,631 It's just a burden you have to bear. 1266 00:44:17,631 --> 00:44:18,501 Jeff's gotta bear it. 1267 00:44:18,501 --> 00:44:19,431 I've gotta bear it. 1268 00:44:19,791 --> 00:44:20,961 You've gotta bear it as well. 1269 00:44:21,351 --> 00:44:24,481 Now the E-Commerce podcast is produced by Podjunction 1270 00:44:24,501 --> 00:44:27,261 you can find our entire archive of episodes on 1271 00:44:27,261 --> 00:44:28,821 your favorite podcast app. 1272 00:44:28,821 --> 00:44:31,971 The theme song was written by Josh Edmundson, and as 1273 00:44:31,971 --> 00:44:35,031 I mentioned the show notes, the access to the newsletter 1274 00:44:35,031 --> 00:44:38,331 and all that sort of stuff is available on our website. 1275 00:44:38,336 --> 00:44:40,016 eCommerce podcast.net. 1276 00:44:40,316 --> 00:44:41,936 But that is it from me. 1277 00:44:41,936 --> 00:44:43,316 That is it from Jeff. 1278 00:44:43,316 --> 00:44:45,026 Thank you so much for joining us. 1279 00:44:45,386 --> 00:44:47,276 Have a fantastic week wherever you are in the world. 1280 00:44:47,546 --> 00:44:48,566 I will see you next time. 1281 00:44:49,346 --> 00:44:49,766 Bye for now.