Meeting Title: Tracking Media Links Date: 2025-09-25 Meeting participants: Kristina, Mat Schwarz, Zoran Selinger, Henry Zhao, Ryon
WEBVTT
1 00:01:45.800 ⇒ 00:01:47.850 Kristina: Hello. Hello.
2 00:01:49.040 ⇒ 00:01:51.099 Kristina: We’re waiting on others.
3 00:02:06.110 ⇒ 00:02:07.670 Kristina: Hi, Zordan!
4 00:02:09.530 ⇒ 00:02:11.280 Zoran Selinger: Hello. Hi, hi.
5 00:02:11.570 ⇒ 00:02:12.360 Kristina: Hello.
6 00:02:12.470 ⇒ 00:02:14.919 Kristina: I think we’re just waiting for Henry, right?
7 00:02:15.430 ⇒ 00:02:16.680 Zoran Selinger: Yep.
8 00:02:17.220 ⇒ 00:02:17.890 Kristina: Good.
9 00:02:18.050 ⇒ 00:02:20.239 Kristina: Zarin, are you Croatian?
10 00:02:20.680 ⇒ 00:02:21.880 Zoran Selinger: Yeah, I am. I am.
11 00:02:21.880 ⇒ 00:02:22.920 Kristina: Y a histo.
12 00:02:23.050 ⇒ 00:02:26.530 Kristina: Drago mir, drag on me.
13 00:02:27.270 ⇒ 00:02:28.240 Kristina: Amy.
14 00:02:29.110 ⇒ 00:02:31.570 Kristina: Are you still in Croatia?
15 00:02:32.040 ⇒ 00:02:36.280 Zoran Selinger: Yes, I am, I am. Yeah, I’m just working from home, freelancing.
16 00:02:36.700 ⇒ 00:02:42.219 Kristina: Nice. I live in London, I’ve been here for the past 15 years.
17 00:02:42.220 ⇒ 00:02:53.819 Zoran Selinger: Oh, very good, very good. I have, I have a cousin there as well. He’s, they’re from Slovenia. Yeah, yeah, so they’re, they’re there.
18 00:02:54.080 ⇒ 00:02:57.650 Zoran Selinger: Still… Yeah, to visit them, though.
19 00:02:58.330 ⇒ 00:02:58.820 Kristina: Yeah.
20 00:02:58.820 ⇒ 00:02:59.530 Zoran Selinger: Hmm.
21 00:02:59.740 ⇒ 00:03:00.510 Zoran Selinger: Yep.
22 00:03:01.490 ⇒ 00:03:03.029 Zoran Selinger: Which city are you in?
23 00:03:03.730 ⇒ 00:03:05.070 Kristina: Sorry? Out in London.
24 00:03:05.070 ⇒ 00:03:06.180 Zoran Selinger: Oh, I’m… okay.
25 00:03:07.790 ⇒ 00:03:18.259 Kristina: So good, so we’re all here now, and, like, the reason why we’re having this call is, I need to show, how,
26 00:03:18.340 ⇒ 00:03:37.710 Kristina: the coverage that we’re securing and… is generating both traffic, or both traffic and sales, or sales and traffic, and at the moment, it seems that we have no way of tracking that. And Matt, I don’t know if you want to explain a little bit more, and then we have secured, through earned media.
27 00:03:37.760 ⇒ 00:03:39.970 Kristina: Over, like, 5,000 links.
28 00:03:39.970 ⇒ 00:04:02.369 Kristina: And not all of them would have any UTMs, especially, like, with the Tier 1 publications, like, let’s say, GQ, Men’s Health, they would not allow me to put the full UTM link, and I was hoping that, actually, would you guys be able to create a vanity link for me, or that’s someone else?
29 00:04:03.140 ⇒ 00:04:05.210 Mat Schwarz: So we can create it with,
30 00:04:05.800 ⇒ 00:04:07.820 Mat Schwarz: with Danny and Ryan, I think.
31 00:04:07.820 ⇒ 00:04:08.570 Kristina: Oh, okay.
32 00:04:08.570 ⇒ 00:04:18.269 Mat Schwarz: But I wanted to hear from you guys about what do you suggest? Because, you know, any UTMs you’ll provide, they’re gonna just get rid of, and put their own, even if anything.
33 00:04:18.579 ⇒ 00:04:23.319 Mat Schwarz: But, how do you guys solve… think we should solve this?
34 00:04:24.490 ⇒ 00:04:29.809 Mat Schwarz: Because how many pages are you sending, though, Christina? It’s not a lot, no?
35 00:04:31.380 ⇒ 00:04:35.799 Kristina: Well, I’m sending people to About page and, tryEden.com.
36 00:04:36.500 ⇒ 00:04:40.109 Mat Schwarz: So what do you guys suggest that we do? Should she just have, like, a…
37 00:04:41.650 ⇒ 00:04:46.709 Mat Schwarz: Should we, like, dupe them, or should we have, like, you know, like, a little vanity to go with those pages?
38 00:04:49.270 ⇒ 00:04:50.010 Mat Schwarz: Hello?
39 00:04:50.590 ⇒ 00:04:52.270 Kristina: Oh, you’re both on mute.
40 00:04:52.480 ⇒ 00:04:55.569 Mat Schwarz: Yes, if you guys are talking, you’re both on mute.
41 00:04:56.610 ⇒ 00:05:02.089 Henry Zhao: I’m not saying anything, I’m waiting for Zoran to respond to that. Actually, I don’t know.
42 00:05:02.090 ⇒ 00:05:03.110 Mat Schwarz: Okay.
43 00:05:03.380 ⇒ 00:05:10.869 Zoran Selinger: Yeah, so, let me just, try to understand what we… what we… sorry, I just kind of onboarded on, on, on this.
44 00:05:10.870 ⇒ 00:05:14.079 Mat Schwarz: So she sends out… so pretty much, I’m gonna oversimplify everything, right?
45 00:05:14.080 ⇒ 00:05:14.470 Zoran Selinger: Okay.
46 00:05:14.470 ⇒ 00:05:29.310 Mat Schwarz: this is pro- this is sort of like… it is that it’s not how things happen, but… so she’s talking to a million people a day, and she’s letting a million people a day look into us, and some of them are gonna say, oh, wow, this is a really cool story, I want it.
47 00:05:30.080 ⇒ 00:05:35.410 Mat Schwarz: So, they’re gonna write about it, they’re gonna grab the information that Christina provides.
48 00:05:35.580 ⇒ 00:05:42.730 Mat Schwarz: And they’re gonna post it all over the web. And they’re gonna say, by the way, if you want to learn more, click this link.
49 00:05:43.020 ⇒ 00:05:43.730 Zoran Selinger: Yeah.
50 00:05:44.210 ⇒ 00:05:48.940 Mat Schwarz: So, she cannot give them links with tracking, with UTMs.
51 00:05:48.940 ⇒ 00:05:50.200 Zoran Selinger: Sure, okay.
52 00:05:50.200 ⇒ 00:05:54.520 Mat Schwarz: So she’s obviously losing… You know, she…
53 00:05:54.620 ⇒ 00:06:00.240 Mat Schwarz: She is, just like many people in the company at the moment, we really need to show
54 00:06:00.690 ⇒ 00:06:13.630 Mat Schwarz: the amount of conversions that we’re driving. So she might be driving, I don’t know, I’m just making this up, 5% of organic, or even, you know, brand searches, like, she for sure has, a piece of the pie.
55 00:06:13.750 ⇒ 00:06:20.289 Mat Schwarz: it’s just impossible for her to show it from a tracking point of view. So, one of the suggestions was, like.
56 00:06:20.500 ⇒ 00:06:24.480 Mat Schwarz: But she only sells a couple of pages. She doesn’t…
57 00:06:24.840 ⇒ 00:06:34.360 Mat Schwarz: She… I don’t think it’s 5 that she sends out, so let’s say we could do try Eden forward slash, about us dash Christina.
58 00:06:34.920 ⇒ 00:06:36.200 Mat Schwarz: Or, like, AS.
59 00:06:36.440 ⇒ 00:06:40.170 Mat Schwarz: We can do, like, a landing page for Compound and SEMA,
60 00:06:40.330 ⇒ 00:06:43.750 Mat Schwarz: And we can add, like, KS. I’m just making an example.
61 00:06:44.440 ⇒ 00:06:45.060 Kristina: True…
62 00:06:45.060 ⇒ 00:06:47.889 Mat Schwarz: Right, so that’s one of the things that we were thinking.
63 00:06:48.140 ⇒ 00:06:49.159 Kristina: So, is there an.
64 00:06:49.160 ⇒ 00:06:50.469 Mat Schwarz: He’s driving the traffic.
65 00:06:51.060 ⇒ 00:07:05.169 Kristina: Yeah. And just to give you an idea. So, as an example, I secure, earned media for the brand, and here, and I’m going to share this link with you as well in chat, so you can see it, and I think I shared this with, Henry on,
66 00:07:05.250 ⇒ 00:07:29.929 Kristina: on Slack as well. So basically, I secure a piece of coverage for Eden, and then they include, like, here, let’s say, like, in this one. So this is, like, Medscape, they include a quote from Dr. Holmes, who is on Eden’s advisory board, and they include a link to Eden’s website. However, this link to Eden’s website takes you only to tryEden.com, because the publication will not allow me to add UTM,
67 00:07:29.930 ⇒ 00:07:36.379 Kristina: or anything else. I can… like, the most I can push it is forward slash about or forward slash KS.
68 00:07:36.380 ⇒ 00:07:49.419 Kristina: And then here, like, this tool that I’m using called CoverageBook, it shows that it says that, estimated views, that is 13.9 thousand people have seen this piece of coverage. However, on,
69 00:07:49.540 ⇒ 00:08:02.619 Kristina: on a dashboard, or, like, Eden’s dashboard, there’s no way at the moment to connect this traffic or this referring link to… that it came from this site.
70 00:08:02.620 ⇒ 00:08:03.870 Henry Zhao: Yeah, no, I understand.
71 00:08:04.040 ⇒ 00:08:05.330 Kristina: You do?
72 00:08:05.530 ⇒ 00:08:13.869 Henry Zhao: Yeah, like, it shouldn’t be zero, right? Because if there’s that many people, somebody has to at least, like, accidentally click on that, right? So it shouldn’t be zero.
73 00:08:13.870 ⇒ 00:08:16.490 Mat Schwarz: So many, like, there’s so many out there, you know?
74 00:08:17.540 ⇒ 00:08:36.419 Henry Zhao: Because, like, you sent me, Christina, some of those, I checked the links, and I couldn’t find any even links on there. So those, I believe that it could be zero, but something like this seems like it should be greater than zero. So, Zoran, I was wondering, for your edge layer and server-side tracking work, if there’s at least that refer field, I wonder if we could see if it’s, like, coverage book.
75 00:08:36.429 ⇒ 00:08:37.589 Henry Zhao: from that link.
76 00:08:37.640 ⇒ 00:08:39.579 Henry Zhao: That was one thought I had, maybe.
77 00:08:39.580 ⇒ 00:08:52.140 Zoran Selinger: Yes, obviously, that is kind of the most elementary way we could do it. I wonder, we do have a Google Analytics. There should be a referral report there.
78 00:08:52.260 ⇒ 00:08:57.439 Zoran Selinger: Is there nothing in there, or they’re just not looking into Google Analytics, for example?
79 00:08:58.090 ⇒ 00:09:09.510 Henry Zhao: I don’t have refer data in Google Analytics. I don’t know if it’s because it’s not set up, or… like, the data I have in Google Analytics, I couldn’t find. I asked Christina also, and Christina, you said you couldn’t find it there either, right?
80 00:09:09.510 ⇒ 00:09:14.400 Kristina: Correct, but I don’t know if that’s because of the level of access that I have, or if it’s just not set up.
81 00:09:15.010 ⇒ 00:09:18.729 Zoran Selinger: I… okay, I’ll have to look into that, because we should have
82 00:09:18.900 ⇒ 00:09:29.999 Zoran Selinger: just a referral traffic in Google Analytics, and see… we should see that website in there, if it’s referring traffic.
83 00:09:30.000 ⇒ 00:09:39.319 Kristina: And it’s, like, 110 of, like, dollars. Plus, like, we had 2 syndicated articles that have gone to, like, 5,000 sites.
84 00:09:39.470 ⇒ 00:09:41.100 Kristina: So it should be…
85 00:09:41.100 ⇒ 00:10:00.549 Kristina: like, in a worst-case scenario, it should be at least, like, at the minimum of 110, and they all have, like, a really good and decent, domain authority, so, like, the Medscape has, like, 90 out of 100, this one, Substack, 92, FlowSpace 60, like, 64, 60, Yahoo Health, like.
86 00:10:00.550 ⇒ 00:10:15.999 Kristina: they’re all, like, 81 out of 100. Like, they’re really good, high-rating domain sites, like, 81, again, eating well. They’re linking to Eden, and at the moment, it just appears that I’m not generating any traffic, which just can’t be true.
87 00:10:17.210 ⇒ 00:10:17.950 Zoran Selinger: Sure, sure.
88 00:10:17.950 ⇒ 00:10:18.350 Mat Schwarz: Yeah.
89 00:10:18.770 ⇒ 00:10:19.360 Mat Schwarz: I think…
90 00:10:19.610 ⇒ 00:10:27.049 Zoran Selinger: Okay, let’s… okay, we can investigate whether we can rely on… on GA4 here.
91 00:10:27.190 ⇒ 00:10:31.759 Zoran Selinger: If not, we do have something, something coming.
92 00:10:31.880 ⇒ 00:10:37.820 Zoran Selinger: Or where we can basically collect a lot of data.
93 00:10:38.350 ⇒ 00:10:41.659 Zoran Selinger: In page loading, in this case.
94 00:10:41.660 ⇒ 00:11:02.399 Zoran Selinger: what’s going to be relevant is a referrer when loading a page. We will collect… we will start collecting that before the page loads, anyway, so we will have the data either way. But I think it could be interesting now to see if we can rely on GM4 here, because there should be a referrer report.
95 00:11:02.620 ⇒ 00:11:09.880 Zoran Selinger: In there. But, I… I’ll… Let’s say acquisition, user acquisition.
96 00:11:11.030 ⇒ 00:11:13.539 Zoran Selinger: Actually, let’s go to traffic acquisition.
97 00:11:13.830 ⇒ 00:11:15.090 Kristina: Please share a screen.
98 00:11:15.390 ⇒ 00:11:16.260 Zoran Selinger: Yep.
99 00:11:19.410 ⇒ 00:11:20.840 Zoran Selinger: Well, let me see…
100 00:11:26.490 ⇒ 00:11:30.600 Henry Zhao: Also, after this discussion, Matt, if you could stay on, and Zoran, we have a…
101 00:11:30.600 ⇒ 00:11:31.160 Mat Schwarz: Sure.
102 00:11:31.510 ⇒ 00:11:32.860 Henry Zhao: You guys for something else, too.
103 00:11:33.140 ⇒ 00:11:33.750 Mat Schwarz: Sure.
104 00:11:40.880 ⇒ 00:11:48.499 Kristina: Because, like, I mean, when I had, like, my own website, I was able to see, like, the referring traffic, so just… yeah.
105 00:11:49.280 ⇒ 00:11:53.979 Zoran Selinger: Haven’t had a chance to look into this before, so bear with me.
106 00:11:54.850 ⇒ 00:11:57.959 Zoran Selinger: Let’s see if we can add a secondary dimension.
107 00:11:59.370 ⇒ 00:12:01.670 Zoran Selinger: Can we add a secondary dimension?
108 00:12:07.430 ⇒ 00:12:12.770 Zoran Selinger: Source… Source medium.
109 00:12:20.210 ⇒ 00:12:22.529 Zoran Selinger: So if we… if we just,
110 00:12:22.670 ⇒ 00:12:25.770 Zoran Selinger: Let me sur… let me try to filter.
111 00:12:26.230 ⇒ 00:12:27.940 Zoran Selinger: A referral only.
112 00:12:28.550 ⇒ 00:12:32.009 Mat Schwarz: Yeah, and you’re pulling referrals as… affiliates as referrals.
113 00:12:32.570 ⇒ 00:12:33.170 Mat Schwarz: Just so you know.
114 00:12:33.170 ⇒ 00:12:35.460 Zoran Selinger: So that should be referral, yes, should be under referral.
115 00:12:35.460 ⇒ 00:12:36.550 Mat Schwarz: Yeah, but those are…
116 00:12:36.550 ⇒ 00:12:39.140 Zoran Selinger: If it’s not fake, it should be on the referral.
117 00:12:39.300 ⇒ 00:12:40.450 Mat Schwarz: Yeah.
118 00:12:40.450 ⇒ 00:12:42.660 Zoran Selinger: So, everydayhell.com.
119 00:12:43.510 ⇒ 00:12:46.320 Kristina: Okay, so how many? That had, like, 2,000.
120 00:12:47.100 ⇒ 00:12:53.230 Zoran Selinger: Yeah, but that’s all traffic sources. This can be filtered, of course.
121 00:12:56.180 ⇒ 00:12:57.390 Zoran Selinger: Channel…
122 00:13:04.880 ⇒ 00:13:08.900 Zoran Selinger: Exactly matches referral, okay.
123 00:13:10.610 ⇒ 00:13:18.040 Zoran Selinger: So these, these would be the websites that are referring traffic, here.
124 00:13:19.460 ⇒ 00:13:21.810 Zoran Selinger: So, I don’t know, Christina, if you can…
125 00:13:21.810 ⇒ 00:13:24.960 Mat Schwarz: Yeah, but no, I, I know them, yeah, so no…
126 00:13:25.590 ⇒ 00:13:26.250 Zoran Selinger: beef…
127 00:13:26.510 ⇒ 00:13:33.300 Mat Schwarz: Plan is our payment, I mean, that one’s hers. The first one, number 21 is hers. 23 is hers.
128 00:13:33.300 ⇒ 00:13:33.940 Zoran Selinger: Yep.
129 00:13:34.390 ⇒ 00:13:39.999 Mat Schwarz: 38 is the one that she was just showing you guys, Medscape.
130 00:13:40.660 ⇒ 00:13:41.650 Zoran Selinger: Got it.
131 00:13:42.300 ⇒ 00:13:47.619 Mat Schwarz: Yeah, so some of those are hers. Talker, we’re about to launch next week, too.
132 00:13:47.620 ⇒ 00:13:48.400 Zoran Selinger: Cool.
133 00:13:48.970 ⇒ 00:13:52.129 Mat Schwarz: Yeah, so some of those are hers. You see them, Christina?
134 00:13:52.130 ⇒ 00:13:55.499 Kristina: Yeah, cool, we’re in Perplexity as well, nice.
135 00:13:55.540 ⇒ 00:14:12.610 Kristina: Okay, so how can I, like, pull this, and then, like, to basically cross-reference with the security coverage, and how can I show this? Because I’m, like, put on a spot to show the numbers and, like, prove the value. Understandable, it’s just, I have not had…
136 00:14:13.040 ⇒ 00:14:19.749 Kristina: way of doing that. I didn’t even have, like, access to the backend, and, like, how… how can we make this easy?
137 00:14:21.590 ⇒ 00:14:27.400 Zoran Selinger: So, since we have this, the easiest way to be… I mean, we can create a custom report.
138 00:14:27.620 ⇒ 00:14:29.780 Zoran Selinger: That does this.
139 00:14:30.790 ⇒ 00:14:40.480 Zoran Selinger: But it’s basically this report, right? You see the number of sessions, the engagement rate, everything, events per session, key events, all the… How much?
140 00:14:40.480 ⇒ 00:14:46.130 Mat Schwarz: do we trust this? Then, from a conversion point of view? It’s the following question.
141 00:14:47.030 ⇒ 00:14:51.410 Mat Schwarz: But how much do we trust G4 for a… For conversions. Traffic, okay.
142 00:14:52.160 ⇒ 00:15:02.390 Zoran Selinger: Yeah, so for traffic, for sure. For conversions, I mean, I can’t give you that answer, because I haven’t looked into it yet. I’m new here.
143 00:15:02.500 ⇒ 00:15:12.909 Zoran Selinger: I haven’t had a chance to review, and it hasn’t been my focus, but I can do that. In any case, like I said, we do have something that we’re…
144 00:15:13.140 ⇒ 00:15:17.809 Zoran Selinger: We will collect, kind of, raw data of a page loading.
145 00:15:17.940 ⇒ 00:15:20.440 Zoran Selinger: And we will have it in BigQuery.
146 00:15:20.600 ⇒ 00:15:26.220 Zoran Selinger: And then Henry can do a little bit of work to basically create this report.
147 00:15:27.080 ⇒ 00:15:29.180 Henry Zhao: BigQuery would be great, yeah, if we could do that.
148 00:15:29.480 ⇒ 00:15:30.300 Henry Zhao: Yep.
149 00:15:31.320 ⇒ 00:15:46.099 Zoran Selinger: So we should be… we should get really accurate numbers there, because we will collect… we’ll collect on… basically on every page load, so we’ll get, actually, a raw table. So let me see… yes, for example…
150 00:15:46.940 ⇒ 00:15:58.439 Zoran Selinger: there’s… this is an unsampled report, so we see 100% of the data that’s been collected here. We should… the numbers that we see here should be the exact numbers.
151 00:15:58.830 ⇒ 00:16:00.560 Zoran Selinger: And we have…
152 00:16:00.790 ⇒ 00:16:09.670 Zoran Selinger: 350 different referrals here, so some of them will be the ones that Christina has been working on.
153 00:16:11.240 ⇒ 00:16:15.160 Kristina: And what is, like, the time frame that this is selected? Because…
154 00:16:15.160 ⇒ 00:16:17.119 Zoran Selinger: Oh yeah, so this is the last 28 days.
155 00:16:17.120 ⇒ 00:16:19.459 Kristina: Which is the default in GA4.
156 00:16:20.730 ⇒ 00:16:23.060 Mat Schwarz: So, do you guys think we should still do…
157 00:16:23.180 ⇒ 00:16:25.659 Mat Schwarz: Something different moving forward as well.
158 00:16:26.610 ⇒ 00:16:28.800 Mat Schwarz: Do you want to just rely on this, or…
159 00:16:29.010 ⇒ 00:16:34.570 Mat Schwarz: do you still want her to have, like, you know, slash KS, or start sending, you know…
160 00:16:36.200 ⇒ 00:16:40.640 Mat Schwarz: Definitely right. But she still says that.
161 00:16:40.640 ⇒ 00:16:45.869 Zoran Selinger: And Christina, correct me if, if, if you, if you need to,
162 00:16:46.900 ⇒ 00:16:51.899 Zoran Selinger: some of the publications won’t allow it. They’re just gonna allow the homepage.
163 00:16:53.070 ⇒ 00:16:54.429 Mat Schwarz: Oh, no, UTMs.
164 00:16:54.430 ⇒ 00:17:08.680 Kristina: Yeah, they don’t allow me UTMs, but I can still have, tryEden.com forward slash about, or tryEden.com forward slash ks. So I can have, like, a vanity link like that. I just can’t have the UTMs.
165 00:17:10.810 ⇒ 00:17:16.540 Zoran Selinger: I mean, if… I mean, that’s another option, of course. That’s another option.
166 00:17:17.599 ⇒ 00:17:27.449 Zoran Selinger: that… then we have, like, a landing page report here as well, where we would see… we would see the actual URL,
167 00:17:27.720 ⇒ 00:17:28.490 Zoran Selinger: But…
168 00:17:29.500 ⇒ 00:17:30.850 Kristina: So, who can create.
169 00:17:30.850 ⇒ 00:17:39.980 Mat Schwarz: It will be a mix, right? Like, of course, because she sent out so many that obviously she can’t go back and update those links anywhere. Like, those 110…
170 00:17:40.360 ⇒ 00:17:43.020 Mat Schwarz: spots that she’s showing you, she cannot go back now.
171 00:17:43.020 ⇒ 00:17:43.939 Zoran Selinger: Yeah, of course.
172 00:17:43.940 ⇒ 00:17:48.720 Mat Schwarz: But it’s sort of, like, moving forward, if we should also do that, just to get more accurate data.
173 00:17:48.720 ⇒ 00:17:49.929 Henry Zhao: I don’t see why not.
174 00:17:50.740 ⇒ 00:17:52.030 Henry Zhao: Right, it’s wrong? No.
175 00:17:52.440 ⇒ 00:17:54.170 Henry Zhao: If anything, it helps us filter.
176 00:17:54.850 ⇒ 00:17:57.509 Zoran Selinger: Yeah, of course, yes, yeah.
177 00:17:57.890 ⇒ 00:18:01.870 Mat Schwarz: And then you search per page, right? Like, we pull this based on page.
178 00:18:02.270 ⇒ 00:18:05.299 Zoran Selinger: Yeah, so you, you would, you would both do this?
179 00:18:05.650 ⇒ 00:18:08.460 Zoran Selinger: And you would also get a landing page report.
180 00:18:08.910 ⇒ 00:18:09.450 Mat Schwarz: Yeah.
181 00:18:09.630 ⇒ 00:18:10.190 Zoran Selinger: Yep.
182 00:18:11.220 ⇒ 00:18:16.990 Henry Zhao: Yeah, and if it’s a redirect, I just want to make sure that we test it to make sure, like, when it redirects, that it still captures the slash ks.
183 00:18:17.370 ⇒ 00:18:19.919 Henry Zhao: So I’ve seen instances where it just drops off.
184 00:18:20.550 ⇒ 00:18:24.969 Mat Schwarz: That’s true, and even the… I’ve seen instances where even the intake just also drops everything, right?
185 00:18:26.330 ⇒ 00:18:32.300 Zoran Selinger: Okay, so this wouldn’t be a dedicated landing page. This would be a redirect to an existing one?
186 00:18:32.300 ⇒ 00:18:33.010 Kristina: Yes, luckily.
187 00:18:33.010 ⇒ 00:18:37.340 Mat Schwarz: Yeah, but still, I’ve seen cases that it just wipes the URL.
188 00:18:37.340 ⇒ 00:18:38.260 Zoran Selinger: No, he definitely was.
189 00:18:38.260 ⇒ 00:18:38.660 Mat Schwarz: I’d be great.
190 00:18:38.660 ⇒ 00:18:43.420 Zoran Selinger: If you’re just gonna do, like, a regular 301, 302 redirect.
191 00:18:43.420 ⇒ 00:18:44.000 Mat Schwarz: Yeah.
192 00:18:44.000 ⇒ 00:18:50.510 Zoran Selinger: So that first, like, the first URL doesn’t even load, for example, it doesn’t load the GA4 at all.
193 00:18:51.300 ⇒ 00:18:55.730 Zoran Selinger: It goes straight to the next page before loading any pixels.
194 00:18:55.860 ⇒ 00:18:59.430 Zoran Selinger: Including GA4. So that’s not a solution for us.
195 00:19:00.180 ⇒ 00:19:02.680 Kristina: Oh, fucking hell. Okay, so what is, then?
196 00:19:02.870 ⇒ 00:19:08.930 Zoran Selinger: I was… I was think… I was thinking about a dedicated landing page, that’s what I was thinking about.
197 00:19:10.990 ⇒ 00:19:13.569 Mat Schwarz: It’s just that, I mean, we could have just…
198 00:19:13.870 ⇒ 00:19:19.309 Mat Schwarz: I don’t know how you guys feel about duplicating. She would have to duplicate 3 pages, probably?
199 00:19:19.580 ⇒ 00:19:22.129 Mat Schwarz: So, which ones do you send, Christina, about…
200 00:19:22.330 ⇒ 00:19:24.809 Kristina: The belt and homepage. Just the belt and homepage.
201 00:19:26.030 ⇒ 00:19:39.759 Kristina: And the reason why they like about page, because when they feature, let’s say, Josh, Adam, or Dr. Holmes, or any of the doctors, they prefer to have a page that, where you can see their bio and their headshot.
202 00:19:40.160 ⇒ 00:19:41.790 Kristina: So it’s, like, about page.
203 00:19:44.880 ⇒ 00:19:53.609 Zoran Selinger: Yeah, so, like, from the SEO standpoint, you create a landing page, you no-index it, it can be the same, same content.
204 00:19:53.610 ⇒ 00:20:06.520 Zoran Selinger: I’m not sure if there’s any negative, negative points in terms of ranking, if we have a kind of duplicate landing page, but if it’s no index, it shouldn’t be… we should have no effect on SEO.
205 00:20:07.750 ⇒ 00:20:12.210 Zoran Selinger: So that’s… That’s doable, but,
206 00:20:12.890 ⇒ 00:20:21.800 Zoran Selinger: we don’t have any… we… we do… at least if we’re relying on GA4, we don’t get anything,
207 00:20:22.700 ⇒ 00:20:28.129 Zoran Selinger: anything… Better from just the report that we’re looking at.
208 00:20:29.460 ⇒ 00:20:38.129 Zoran Selinger: Apart from, you know, we need to filter this, and maybe we only have a few different vanity URLs in a.
209 00:20:38.130 ⇒ 00:20:45.120 Mat Schwarz: Yeah, and again, the second thing that I keep thinking about is after traffic, is key events purchase, you know?
210 00:20:45.780 ⇒ 00:20:49.159 Mat Schwarz: So that, that’s the part that maybe we do need to also, right?
211 00:20:49.780 ⇒ 00:20:51.220 Zoran Selinger: So, again…
212 00:20:51.220 ⇒ 00:20:55.999 Mat Schwarz: Yeah, she has a goal, a conversion goal per month that she needs to meet.
213 00:20:56.250 ⇒ 00:20:58.409 Mat Schwarz: Yeah, so this report…
214 00:20:58.830 ⇒ 00:21:10.369 Zoran Selinger: will give you the same quality of data as a landing page report. Both, board dimensions, so…
215 00:21:10.410 ⇒ 00:21:24.779 Zoran Selinger: session, session source slash medium, and the landing page are that session level dimension, which, basically, it’ll give you the same numbers, you’re just looking at a different property of that particular session.
216 00:21:25.130 ⇒ 00:21:27.360 Zoran Selinger: So…
217 00:21:28.250 ⇒ 00:21:35.020 Zoran Selinger: it’s nothing additional that we will get with it. The only additional thing, the only kind of…
218 00:21:35.440 ⇒ 00:21:37.950 Zoran Selinger: Raw data that we can get is from
219 00:21:38.150 ⇒ 00:21:50.590 Zoran Selinger: something that we will soon build. And we are talking about that edge, edge functions, that will run on every page load. So, at that point, we can collect raw data.
220 00:21:51.210 ⇒ 00:21:51.760 Mat Schwarz: Okay.
221 00:21:52.220 ⇒ 00:21:55.230 Zoran Selinger: That is… that is an option.
222 00:21:55.430 ⇒ 00:22:01.299 Zoran Selinger: Since this report, for example, so cardinality is not very high on this report, so it’s not sampled.
223 00:22:01.410 ⇒ 00:22:04.989 Zoran Selinger: So we get basically raw data here as well.
224 00:22:05.490 ⇒ 00:22:07.369 Zoran Selinger: But you can imagine, I mean.
225 00:22:07.850 ⇒ 00:22:13.900 Zoran Selinger: I don’t think it’s a realistic scenario where we have… I don’t know.
226 00:22:14.460 ⇒ 00:22:25.109 Zoran Selinger: 3,000 and… 3,000 rows in this report, that might get sampled. Sampled simply means we are looking at, let’s say,
227 00:22:25.210 ⇒ 00:22:31.019 Zoran Selinger: 30% of the real data, and the other 70% is an approximation.
228 00:22:32.860 ⇒ 00:22:36.730 Mat Schwarz: No, this is the max you’ll see, probably, in the next couple months.
229 00:22:36.730 ⇒ 00:22:40.029 Zoran Selinger: Yeah, yeah, so I think this, this works for us.
230 00:22:40.920 ⇒ 00:22:45.580 Zoran Selinger: I just need to check what the goals are, and how they’re set up.
231 00:22:45.760 ⇒ 00:22:48.540 Zoran Selinger: Because that’s, I haven’t… I haven’t worked on.
232 00:22:49.530 ⇒ 00:22:58.299 Kristina: How does the revenue work in here? Because it shows here, like, total of revenue. How is that, like, how is that conversion calculated?
233 00:22:58.740 ⇒ 00:23:00.200 Kristina: Like.
234 00:23:00.750 ⇒ 00:23:08.569 Kristina: Or how is that measured? Because I would… I would love to know if any of those article pieces are generating any conversions.
235 00:23:10.140 ⇒ 00:23:11.810 Zoran Selinger: So, I mean…
236 00:23:11.920 ⇒ 00:23:28.749 Zoran Selinger: this is GF4, so if you see that any revenue was assigned here, that means an e-commerce transaction was recorded in a session where someone arrived to the site with the said referral link.
237 00:23:28.830 ⇒ 00:23:43.550 Zoran Selinger: Right? From that particular website. So, if that person in that session completes a transaction, and you see the numbers here, that’s exactly what it means. So, that session resulted in an exchange of money, and
238 00:23:44.070 ⇒ 00:23:45.759 Zoran Selinger: You see the number here.
239 00:23:47.410 ⇒ 00:23:49.160 Kristina: Okay, cool, thank you.
240 00:23:49.380 ⇒ 00:23:50.859 Kristina: Matt?
241 00:23:52.590 ⇒ 00:23:54.760 Mat Schwarz: No, I mean…
242 00:23:55.930 ⇒ 00:23:59.330 Kristina: Do you think this will suffice, or, like, what would be the next.
243 00:23:59.330 ⇒ 00:24:02.149 Mat Schwarz: From a traffic spon… traffic point of view, yes.
244 00:24:02.550 ⇒ 00:24:07.950 Mat Schwarz: From a conversion, kind of… point of view, I have my doubts on G4, just… That’s why I was…
245 00:24:07.950 ⇒ 00:24:17.470 Henry Zhao: That’s why I brought Zuran on this call, is I was just wondering if the edge layer stuff that you’re doing is Zaran. Once you tell me about the join key that we talked about two days ago.
246 00:24:17.600 ⇒ 00:24:23.189 Henry Zhao: can I join that to, like, some BASC data to figure out conversions that way?
247 00:24:23.900 ⇒ 00:24:38.809 Zoran Selinger: So, yeah, when we add a new row to the table that we’re going to do, you will have a referral there, and you will have… you will have, you know, a hashed IP, you will have a user ID, and a session ID.
248 00:24:39.660 ⇒ 00:24:43.699 Zoran Selinger: That should be enough for us to do this teaching.
249 00:24:43.980 ⇒ 00:24:44.810 Zoran Selinger: Yes.
250 00:24:45.100 ⇒ 00:24:53.689 Zoran Selinger: So it’ll be very clear from the session, and for that particular user, that at some point, they arrive from the particular referral source.
251 00:24:54.100 ⇒ 00:25:01.730 Zoran Selinger: And that visit, or that user, ended up, you know, Making a transaction.
252 00:25:02.930 ⇒ 00:25:06.749 Henry Zhao: Yeah, but if we’re gonna have the conversion, obviously, set up in GA4, that’s even easier and better, right?
253 00:25:07.280 ⇒ 00:25:25.230 Zoran Selinger: Yes, like I said, I see… I see revenue here, so something is definitely set up, I just… I just don’t know exactly what it is. From what I could see from GTM yesterday, as I was working on something else, the data layer implementation is good.
254 00:25:25.830 ⇒ 00:25:38.860 Zoran Selinger: There’s a custom purchase event, so if here, if the e-commerce transaction for this is just triggered at that particular event, then the data that you see here is right.
255 00:25:40.170 ⇒ 00:25:42.230 Zoran Selinger: Yeah, I just need to confirm that.
256 00:25:42.600 ⇒ 00:25:46.159 Mat Schwarz: Alright, give me… give me guys one second.
257 00:25:49.450 ⇒ 00:25:55.149 Mat Schwarz: I’m talking to Ryan for something else, but, like, I also told him, so he wants to join in 2 seconds, this call.
258 00:25:56.260 ⇒ 00:26:00.159 Zoran Selinger: What, Matt, what I would recommend is,
259 00:26:00.390 ⇒ 00:26:02.579 Mat Schwarz: Let’s look at this report.
260 00:26:03.430 ⇒ 00:26:03.820 Mat Schwarz: Yeah.
261 00:26:03.820 ⇒ 00:26:08.349 Zoran Selinger: And let’s just look at the data that you see, see if that makes sense to you.
262 00:26:08.730 ⇒ 00:26:13.449 Mat Schwarz: Yeah, and obviously we need to… the filtering, like, I could tell you, we had even, like.
263 00:26:13.570 ⇒ 00:26:18.419 Mat Schwarz: LLMs, like, bunch of LLMs, like, showed up, and, you know, all this referral.
264 00:26:18.620 ⇒ 00:26:21.580 Mat Schwarz: But we were also talking to Ryan yesterday about…
265 00:26:22.430 ⇒ 00:26:30.299 Mat Schwarz: you know, for the future case that, well, she would like to send, you know, forward slash KS. Hey, Ryan.
266 00:26:30.650 ⇒ 00:26:31.370 Ryon: Hey, guys.
267 00:26:31.370 ⇒ 00:26:36.790 Mat Schwarz: No, so we’re actually, like, wrapping up, but yeah. So, I mean, you know…
268 00:26:37.110 ⇒ 00:26:37.890 Ryon: Good.
269 00:26:39.490 ⇒ 00:26:42.260 Mat Schwarz: So we’re looking at, you know, Skippy.
270 00:26:42.860 ⇒ 00:26:46.190 Mat Schwarz: So… we’re looking at just Ruth Farrell.
271 00:26:49.500 ⇒ 00:26:52.840 Mat Schwarz: source from Christina, but again, this is… is…
272 00:26:53.130 ⇒ 00:26:57.319 Mat Schwarz: Which is not accurate. My only question that I had, and we already talked about it, but it was…
273 00:26:57.450 ⇒ 00:27:00.000 Mat Schwarz: From a conversion point of view, from a key event conversion.
274 00:27:01.560 ⇒ 00:27:05.180 Mat Schwarz: Point of view, on the accuracy of G4.
275 00:27:06.270 ⇒ 00:27:19.960 Ryon: Yeah, so there’s only two things I would say here. I think Zoran and Henry already know this, okay? But the first thing I would say is that, yes, in some cases, like in the case of what you see here, where we have
276 00:27:20.590 ⇒ 00:27:37.490 Ryon: it looks like referral traffic that could be considered affiliate traffic is being dumped into the referral bucket because there were no tracking parameters assigned to those URLs, which made it identifiable as affiliate traffic, and or the channel settings inside of GA4 were never set up properly.
277 00:27:37.580 ⇒ 00:27:57.459 Ryon: to allow it to be put into the affiliate bucket. So, that doesn’t necessarily mean GA4 is wrong, it means that it was not configured correctly from the start, okay? And to be clear, not something that I set up, alright? So that’s what I’m trying to rectify here, right now, okay? I’ll share my screen here in a second and show you guys what that means.
278 00:27:57.460 ⇒ 00:28:04.720 Ryon: The second thing I would say is, when it comes to conversion data, alright, let me go to the admin…
279 00:28:04.770 ⇒ 00:28:10.010 Ryon: View here and show you guys something, because this is, again, not something that I…
280 00:28:10.570 ⇒ 00:28:13.610 Ryon: Completely love, but it is the way that it was set up.
281 00:28:13.830 ⇒ 00:28:15.310 Ryon: all…
282 00:28:19.780 ⇒ 00:28:27.040 Ryon: Almost all of the… events that you see inside of J4.
283 00:28:27.530 ⇒ 00:28:30.010 Ryon: Are marked as a key event.
284 00:28:30.260 ⇒ 00:28:36.539 Ryon: Okay, so… and that means that, like, conversion rates are going to be a little bit wonky.
285 00:28:36.820 ⇒ 00:28:42.819 Ryon: Right, so let’s see here… Go to Key Events here, okay? See how these are all starred?
286 00:28:43.800 ⇒ 00:28:56.030 Ryon: scroll, page view, intake, click, button clicked, and then also purchase. Of all of the key events that matter, the only one that really is going to truly measure conversion is purchase.
287 00:28:56.030 ⇒ 00:29:09.859 Ryon: So to sift through all this junk, rather than just taking the straight key event rate out of JA4, which is going to include, you know, button click, click, plate view, and all this other stuff, which were marked some time ago as key events, I’ll correct this and announce it in a bit.
288 00:29:09.860 ⇒ 00:29:28.879 Ryon: just create a segment that says, I only want to see the performance of purchase key event, not all this other stuff, because you’re going to see page view and scroll and intake, and those key events are going to throw the conversion rate wildly off, because they’re going to happen more often than not. People are going to scroll, people are going to click, people are going to show page view. That’s not a key event. That’s just…
289 00:29:29.090 ⇒ 00:29:44.759 Ryon: That’s an event. It just happened. So, yeah, just a couple of warnings there for everybody to know about. All right, now, again, a lot of this stuff, like I said, I didn’t set this up, and I’m doing my best to sort of scope how to correct it, Zoran, so that you’re aware. I’m working with Cutter to make sure that we get
290 00:29:44.870 ⇒ 00:29:47.659 Ryon: The channel attributes and everything set up correctly.
291 00:29:47.800 ⇒ 00:30:12.729 Ryon: Let me go back down here so you can see. I’m starting a new channel group here called Eating Custom Channel Grouping, where I’m gonna basically be bringing everything together, and then we can use that channel grouping, benchmark against default channel grouping here. This should include all of the UTMs that people are using here, right? So here’s the UTM source, the referral traffic that I’m pretty sure is, you know, most likely, you know, ChatGPT or OpenAI or whatever else where they have UTM source. I’m gonna pull that over and put it into, like.
292 00:30:12.730 ⇒ 00:30:16.920 Ryon: organic search or AI search or something like that, so that we can kind of see those things, because
293 00:30:16.920 ⇒ 00:30:22.269 Ryon: In many cases, you can go to any one of the reports here, you can look at my working dashboard if you want to.
294 00:30:22.270 ⇒ 00:30:40.119 Ryon: And you can see under unassigned traffic, you know, looking at the page referrer here, a lot of this stuff, like mountain, I can tell you right now, this is… this is actually Matt. This is his CTV traffic that has not been input properly to GA4, so it’s not wrong, but it’s also not set up or configured correctly.
295 00:30:40.180 ⇒ 00:30:45.280 Ryon: So yeah, just keep that in mind. So those are some things I know about. I am trying to correct for that.
296 00:30:45.840 ⇒ 00:30:55.600 Ryon: But yes, the best thing to do, since Henry’s on here, I would say, and I know that Mixpanel has troubles with channel attribution, too. Yeah, but Henry’s here as well.
297 00:30:55.870 ⇒ 00:31:10.349 Ryon: you know, lean on some of the things from Mixpanel. I trust Mixpanel more than I trust GA4, at least right now. Although I know it has some challenges with channel attribution, I know that it’s broadly accurate, I would say. And then,
298 00:31:10.940 ⇒ 00:31:20.979 Ryon: The other thing I would also say is, if you have issues with sifting out the data that you need, then work with myself, to try and, you know.
299 00:31:21.810 ⇒ 00:31:24.470 Ryon: Or is everyone trying to segment it out? So yeah.
300 00:31:25.580 ⇒ 00:31:29.949 Ryon: Cool, that was a long-winded answer. I hope that helps everybody sort of understand the nature of things right now.
301 00:31:30.810 ⇒ 00:31:33.720 Henry Zhao: Yep, and I’ll look into this panel to see if we can get that data there, too.
302 00:31:34.470 ⇒ 00:31:48.360 Ryon: Yeah, yeah. As far as MixedPanel’s concerned, Henry, I’m just… my comment was really referencing something Robert told me a long time ago that I don’t even know if it’s still true, but it was something about how, like, Mixpanel sometimes struggles with channel attribution and putting things in the appropriate bucket. Okay. It does? Okay, well, I don’t…
303 00:31:48.360 ⇒ 00:31:57.539 Ryon: I don’t know if that’s still true or false, but yeah, let me know. I’d love to understand why that’s the case. I think it just has to do with the way, because it’s retroactive, right? It reports on what’s reported on the database, right?
304 00:31:57.540 ⇒ 00:32:01.619 Henry Zhao: Yeah, you just send it events, and that’s it. Yeah, it’s not meant to be…
305 00:32:02.640 ⇒ 00:32:04.940 Ryon: Okay, cool. Alright, cool. Cool, cool, cool.
306 00:32:05.090 ⇒ 00:32:06.940 Ryon: But yeah, I hope that helps, guys.
307 00:32:07.310 ⇒ 00:32:09.149 Henry Zhao: Yeah, I need you guys for one other thing, though.
308 00:32:09.420 ⇒ 00:32:10.929 Ryon: Alright, I’m gonna drop. Thanks, guys.
309 00:32:12.740 ⇒ 00:32:13.320 Henry Zhao: Thanks.
310 00:32:13.800 ⇒ 00:32:16.090 Henry Zhao: Okay, Christina, you can drop as well.
311 00:32:16.210 ⇒ 00:32:26.270 Henry Zhao: But Matt and Zaran, one more thing I want to talk to you guys about is Catalyst. So, Zaran, Catalyst is the new affiliate that we’re going with.
312 00:32:27.090 ⇒ 00:32:29.899 Henry Zhao: And so I wanted to check with you on…
313 00:32:30.410 ⇒ 00:32:34.209 Henry Zhao: this… so you have access to these, these documents, Zoran.
314 00:32:34.210 ⇒ 00:32:36.780 Zoran Selinger: I do, I, I, I…
315 00:32:37.830 ⇒ 00:32:40.759 Zoran Selinger: I never downloaded them, I can.
316 00:32:41.070 ⇒ 00:32:43.789 Mat Schwarz: Do you want me to give you access to Catalyst?
317 00:32:45.150 ⇒ 00:32:47.060 Mat Schwarz: Because I gave those to Qatar.
318 00:32:48.370 ⇒ 00:32:50.130 Henry Zhao: If you can give us access to that, that would be great.
319 00:32:50.340 ⇒ 00:32:59.560 Henry Zhao: But Matthias showed me that these are gonna be the UTMs that Catalyst is using to identify their conversions. So basically, Catalyst has installed a pixel on Triadin.
320 00:32:59.600 ⇒ 00:33:10.819 Henry Zhao: So they’re getting data for how many conversions that they’ve brought, as well as how many referrals. However, Zoran, as you know, not all of those convert into revenue, right? Some of them, they complete the order completed.
321 00:33:10.880 ⇒ 00:33:17.829 Henry Zhao: But then they either cancel, or they abandon, or the pharmacy doesn’t approve the prescription, right? Matt, correct me if anything I’m saying is incorrect.
322 00:33:17.830 ⇒ 00:33:18.699 Mat Schwarz: Yeah, yeah.
323 00:33:18.700 ⇒ 00:33:32.810 Henry Zhao: So they don’t all convert to money, so they give us 10 days to reconcile their data and say, you thought you brought in all this, but these are not actually first touch, or these didn’t actually convert into revenue, and so I was thinking, like, we take this UTM,
324 00:33:32.880 ⇒ 00:33:39.490 Henry Zhao: We use the edge layer and server side that you’re working on, stitch it with the attribution work that we’re doing.
325 00:33:39.860 ⇒ 00:33:42.930 Henry Zhao: And then do the… the… the…
326 00:33:44.140 ⇒ 00:33:58.410 Henry Zhao: constellation that way. So, Matthias, you asked if we should add product name. Seeing that Cutter wants us to attribute it to the correct treatment type, I’m assuming that we should add product name, or some sort of product ID, so that we can map it to the correct
327 00:33:58.610 ⇒ 00:34:00.370 Henry Zhao: Product that they are converting.
328 00:34:02.060 ⇒ 00:34:03.650 Mat Schwarz: Okay.
329 00:34:04.430 ⇒ 00:34:07.400 Mat Schwarz: Do you want me… because Cutter told… said no yesterday.
330 00:34:08.639 ⇒ 00:34:10.129 Mat Schwarz: I guess. Oh, okay.
331 00:34:10.699 ⇒ 00:34:14.829 Mat Schwarz: So, have you seen… and I can pull more reports, too. Let me…
332 00:34:17.550 ⇒ 00:34:21.189 Mat Schwarz: I mean, we could. You want me to show you the actual dashboard from them?
333 00:34:22.659 ⇒ 00:34:24.119 Mat Schwarz: Are you allowed me…
334 00:34:25.010 ⇒ 00:34:28.930 Henry Zhao: First, can I get Zoran’s idea on, like, if we add product names to TMs?
335 00:34:29.850 ⇒ 00:34:34.320 Henry Zhao: Is that… is that doable? Or, like, are we putting UTM content or something like that?
336 00:34:34.909 ⇒ 00:34:37.889 Zoran Selinger: Oh, Lisa, we can… I can absolutely have…
337 00:34:38.159 ⇒ 00:34:47.579 Zoran Selinger: If we’re creating that, that table on the edge, I can have… I can have a catalyst field, and just look at the UTM
338 00:34:48.199 ⇒ 00:34:53.099 Zoran Selinger: And tell you true or false in that field, based on the UTMs, right?
339 00:34:53.889 ⇒ 00:34:56.999 Henry Zhao: Okay, but based on these UTMs, as long as we have UTM source equals catalyst.
340 00:34:57.000 ⇒ 00:35:06.429 Zoran Selinger: Yeah, I can… I mean, we can choose any of them, it doesn’t really matter, but yeah, UTM source equals catalyst, yeah, that’s good enough, yeah.
341 00:35:06.430 ⇒ 00:35:07.789 Mat Schwarz: Okay, so you don’t want product?
342 00:35:08.960 ⇒ 00:35:14.920 Zoran Selinger: I mean, product we will stitch anyway from the, you know, processed order afterwards, right?
343 00:35:14.920 ⇒ 00:35:15.550 Mat Schwarz: Okay.
344 00:35:15.550 ⇒ 00:35:21.849 Zoran Selinger: Yeah, so at this point, at the point of the first page load, I don’t need a product.
345 00:35:22.260 ⇒ 00:35:29.109 Henry Zhao: What about Matt? What if the campaign is for, like, semaglutide? They get to that landing page, and then they buy…
346 00:35:29.410 ⇒ 00:35:30.559 Henry Zhao: Something else.
347 00:35:30.560 ⇒ 00:35:31.510 Zoran Selinger: Exactly.
348 00:35:31.750 ⇒ 00:35:40.270 Henry Zhao: Zepatide. Does Catalyst still get credit for that, or do we just say, no, like, you brought us this traffic, thank you, but they actually bought something else. That’s…
349 00:35:41.170 ⇒ 00:35:44.120 Mat Schwarz: If they track it, they’re gonna want to get paid for it.
350 00:35:44.380 ⇒ 00:35:47.570 Mat Schwarz: But it’s supposed to be for the product that we agreed upon.
351 00:35:48.770 ⇒ 00:35:49.240 Henry Zhao: Okay.
352 00:35:49.240 ⇒ 00:35:50.059 Mat Schwarz: Make sense?
353 00:35:50.460 ⇒ 00:35:51.020 Henry Zhao: Yeah.
354 00:35:51.320 ⇒ 00:35:55.779 Mat Schwarz: Because that’s what we’re paying, yeah, that’s why we’re so specific with, who we work with, and which
355 00:35:56.560 ⇒ 00:36:01.809 Mat Schwarz: Products that even… some of them would even have dedicated landing pages, and we need to start having…
356 00:36:02.210 ⇒ 00:36:07.819 Mat Schwarz: which, you know, I think it’s gonna make things better. I need to start creating, actually, dedicated, intakes.
357 00:36:08.240 ⇒ 00:36:10.920 Henry Zhao: So I’m gonna be doing a lot of CRO work.
358 00:36:11.830 ⇒ 00:36:13.240 Mat Schwarz: From that point of view as well.
359 00:36:14.820 ⇒ 00:36:16.970 Mat Schwarz: But do you want me to show you their dashboard?
360 00:36:17.220 ⇒ 00:36:17.710 Henry Zhao: Yeah, sure.
361 00:36:17.710 ⇒ 00:36:20.770 Mat Schwarz: And again, I always say we need to make sure that this is accurate, right?
362 00:36:20.920 ⇒ 00:36:24.310 Henry Zhao: Like, whatever they claim, we need to make sure that it’s accurate.
363 00:36:27.630 ⇒ 00:36:31.229 Henry Zhao: But do we need to make sure that it’s the same product that they’re supposed to be promoting?
364 00:36:31.850 ⇒ 00:36:34.709 Henry Zhao: Because in that case, we would need the product IDs run, because.
365 00:36:35.120 ⇒ 00:36:41.249 Mat Schwarz: Well, you have the… yeah, so this is… so that’s why I wanted to show you this. This is what they claim, and it is per product.
366 00:36:41.830 ⇒ 00:36:42.380 Henry Zhao: Whoa.
367 00:36:43.720 ⇒ 00:36:46.430 Mat Schwarz: But again, it’s a platform, it’s platform data, you know?
368 00:36:47.600 ⇒ 00:36:53.449 Henry Zhao: Are we picking them by leads that just landed on the landing page, or by actual products conversions?
369 00:36:55.190 ⇒ 00:36:59.640 Mat Schwarz: product conversions, because they get paid a percentage of it. They get commission.
370 00:37:00.060 ⇒ 00:37:02.970 Mat Schwarz: Per product sold So…
371 00:37:03.620 ⇒ 00:37:10.160 Mat Schwarz: I mean, there’s a little bit more data. These are the top publishers that are driving the traffic, that is converting, that is generating these sales.
372 00:37:11.170 ⇒ 00:37:15.380 Henry Zhao: So they bring us a million horrible leads that don’t buy anything, we’re not paying them anything.
373 00:37:15.380 ⇒ 00:37:16.090 Mat Schwarz: Correct.
374 00:37:16.560 ⇒ 00:37:20.190 Henry Zhao: Okay, good. And that’s the whole game that they play. They spent a ton of money in ads.
375 00:37:20.360 ⇒ 00:37:22.020 Henry Zhao: Hoping that they’ll convert.
376 00:37:22.130 ⇒ 00:37:24.320 Mat Schwarz: So then we have nothing to lose, pretty much.
377 00:37:24.830 ⇒ 00:37:25.430 Henry Zhao: Okay.
378 00:37:25.600 ⇒ 00:37:37.280 Mat Schwarz: And then we drop them. Like, I filter them, like, the 20 of you did nothing out, next 20. So it’s non-stop, every day. Like, we’re about to add 3 more, like, it’s like a live…
379 00:37:37.470 ⇒ 00:37:52.459 Mat Schwarz: bidding situation. Every day there’s a new relationship turning on and off. But the biggest ones are these. Moonshot, Forbes is gonna be huge, so for now, as of for… in the next two weeks, I’m creating dedicated landing pages with, like, branded landing pages.
380 00:37:52.600 ⇒ 00:37:58.950 Mat Schwarz: Also, you know what we’re gonna have, to double-check that’s gonna help us a lot? Branded coupon codes.
381 00:37:59.600 ⇒ 00:38:02.669 Mat Schwarz: So, like, Forbes is gonna have Forbes 50, let’s say.
382 00:38:02.980 ⇒ 00:38:06.830 Mat Schwarz: So that’s gonna help us verify conversions a lot.
383 00:38:06.990 ⇒ 00:38:13.670 Mat Schwarz: So each partner, you see, we have a lot of people. But none of them, not all of them are driving traffic.
384 00:38:14.300 ⇒ 00:38:18.209 Mat Schwarz: So, this is what I was showing you. I want to show you just this.
385 00:38:20.370 ⇒ 00:38:30.839 Mat Schwarz: in content, these are the main… which, again, I took over this this week, by the way. Like, affiliates, you know, landed on me this week, which, whatever, I love affiliates, I’ve done it before.
386 00:38:31.540 ⇒ 00:38:41.649 Mat Schwarz: I’m cleaning up everything, Henry, it’s crazy out there. Like, even their landing pages have inaccurate information, so first thing I did, I’m like, what are we… these are the main pages that we’re driving traffic to.
387 00:38:42.650 ⇒ 00:38:48.099 Mat Schwarz: And then I’m also like, why would we even drive traffic to two different GLP-1s, for example?
388 00:38:49.050 ⇒ 00:38:51.710 Mat Schwarz: So one of them is even triggering the wrong coupon.
389 00:38:51.840 ⇒ 00:38:54.869 Mat Schwarz: From the intake, so it’s showing us 149.
390 00:38:55.320 ⇒ 00:38:58.380 Mat Schwarz: So, I’m cleaning a bunch of things like that.
391 00:38:58.590 ⇒ 00:39:05.269 Mat Schwarz: But I don’t know if this helps you guys to… helps you to know that this is it, technically.
392 00:39:06.230 ⇒ 00:39:09.740 Mat Schwarz: Like, this is all they should be promoting. Make sense?
393 00:39:11.300 ⇒ 00:39:15.250 Mat Schwarz: And again, independently from this, that’s the actual URL
394 00:39:17.840 ⇒ 00:39:20.819 Mat Schwarz: So then, we have the UTMs in there.
395 00:39:22.670 ⇒ 00:39:23.389 Henry Zhao: So I guess we’re on…
396 00:39:23.390 ⇒ 00:39:23.870 Mat Schwarz: we apply.
397 00:39:24.240 ⇒ 00:39:26.020 Mat Schwarz: per URL. Make sense?
398 00:39:26.350 ⇒ 00:39:33.370 Henry Zhao: Yeah, so I guess surrounds it’s as simple as after we stitch, we just look at the conversions where UTM source is catalyst for first click, and that’s it.
399 00:39:33.990 ⇒ 00:39:35.809 Zoran Selinger: Yeah, yeah, exactly.
400 00:39:35.980 ⇒ 00:39:37.569 Henry Zhao: But my question then, Matt, is…
401 00:39:38.010 ⇒ 00:39:44.870 Henry Zhao: Is it honor system when we do the reconciliation? Like, how… they just accept our data, right? What if I told them, oh, zero?
402 00:39:45.410 ⇒ 00:39:49.619 Mat Schwarz: We are sending them data, yes, so it’s just that, yes.
403 00:39:50.120 ⇒ 00:39:51.370 Mat Schwarz: That’s right.
404 00:39:51.970 ⇒ 00:39:53.120 Henry Zhao: is accurate.
405 00:39:53.920 ⇒ 00:40:00.330 Mat Schwarz: And there’s another sheet… I mean, I don’t want to drown you with sheath, but there’s another sheet…
406 00:40:01.580 ⇒ 00:40:03.229 Mat Schwarz: Let me open it.
407 00:40:04.920 ⇒ 00:40:07.050 Mat Schwarz: I’m gonna go through, like, a million windows.
408 00:40:09.750 ⇒ 00:40:14.489 Mat Schwarz: So, you see, these are the type of pages that are being used to send traffic, to send,
409 00:40:14.700 ⇒ 00:40:18.410 Mat Schwarz: sent to us. They’re very… crappy-looking, but they convert.
410 00:40:18.930 ⇒ 00:40:20.360 Mat Schwarz: Hmm?
411 00:40:22.860 ⇒ 00:40:33.420 Mat Schwarz: Let’s see if it’s this one here. I don’t know if you want access to this, I don’t want to complicate you guys, but this is also sort of like a live tracking sheet that they maintain.
412 00:40:33.530 ⇒ 00:40:34.460 Mat Schwarz: Daily.
413 00:40:36.630 ⇒ 00:40:40.769 Mat Schwarz: I mean, this is not for you guys, but, like, this is how the APC is calculated, and how…
414 00:40:41.490 ⇒ 00:40:43.960 Mat Schwarz: The pay and everything is calculated.
415 00:40:44.420 ⇒ 00:40:47.510 Mat Schwarz: So we are also using this to bring them on board and shut them down.
416 00:40:48.920 ⇒ 00:40:51.699 Mat Schwarz: But I think you guys are gonna be okay with…
417 00:40:52.140 ⇒ 00:40:52.850 Henry Zhao: Yeah.
418 00:40:52.850 ⇒ 00:40:59.239 Mat Schwarz: Do you want me to pull a specific report from the platform? You want me to add you to it? How can I help you?
419 00:40:59.820 ⇒ 00:41:01.710 Mat Schwarz: I think we moved forward with what we have.
420 00:41:02.290 ⇒ 00:41:07.689 Henry Zhao: And then we move forward with what we have, and then we do the first check by looking at UTM source equals catalyst, and just see what we have.
421 00:41:08.230 ⇒ 00:41:15.170 Henry Zhao: And then we can continue the discussion. If it’s pretty similar, we’re all good to go. If it’s wildly different, we need to have just another discussion.
422 00:41:15.900 ⇒ 00:41:20.670 Mat Schwarz: Okay, so whenever you’re ready, I’ll just… we meet, and I’ll pull these again, like, I’ll pull this up.
423 00:41:21.680 ⇒ 00:41:22.550 Mat Schwarz: Yes, perfect.
424 00:41:22.550 ⇒ 00:41:27.740 Henry Zhao: when what we talked about two days ago is ready, so I can do some initial data pulls on Catalysts.
425 00:41:29.270 ⇒ 00:41:30.550 Henry Zhao: by, by product.
426 00:41:31.790 ⇒ 00:41:35.690 Henry Zhao: And it’ll be the list of products that Cutter sent me, which should match the ones…
427 00:41:37.960 ⇒ 00:41:41.699 Henry Zhao: It should, right? Because it’s part of the same report. I saw it was compounded some.
428 00:41:41.700 ⇒ 00:41:44.509 Mat Schwarz: What he sent you is what I sent him. He asked me to get it.
429 00:41:44.520 ⇒ 00:41:45.870 Henry Zhao: Yeah, so it should be…
430 00:41:45.870 ⇒ 00:41:46.969 Mat Schwarz: I send it to him.
431 00:41:47.270 ⇒ 00:41:54.479 Henry Zhao: I don’t see compounded semaglutide… oh, it’s Brodenerat product name. So, like, semaglutide plus B12 is compounded semaglutide, essentially, in that other report, right?
432 00:41:54.660 ⇒ 00:41:56.369 Henry Zhao: Okay, alright, we’ll do the mapping.
433 00:41:56.370 ⇒ 00:42:01.489 Mat Schwarz: But I’m gonna add… I’m gonna push Tersepitai, for example, a lot more, so there will be more changes to it this week.
434 00:42:01.840 ⇒ 00:42:06.370 Henry Zhao: Okay, that’s good context, so that I can check if we see more Terzepatide in the reports.
435 00:42:07.160 ⇒ 00:42:07.970 Henry Zhao: Okay.
436 00:42:07.990 ⇒ 00:42:09.039 Mat Schwarz: Cool. Cool, so…
437 00:42:09.040 ⇒ 00:42:11.229 Henry Zhao: What’s on here, just check, but yeah, great.
438 00:42:11.830 ⇒ 00:42:17.760 Mat Schwarz: else completely unrelated, we’ll let you know, but just so you know, in about 2 weeks, we might launch on TikTok.
439 00:42:18.420 ⇒ 00:42:19.110 Henry Zhao: Okay.
440 00:42:19.110 ⇒ 00:42:20.800 Mat Schwarz: TikTok ads, so we’re working on.
441 00:42:20.800 ⇒ 00:42:23.760 Henry Zhao: I’ve never worked for TikTok ads, so… language experts.
442 00:42:25.160 ⇒ 00:42:28.420 Mat Schwarz: Yeah, so we’re working on that, and that’s it.
443 00:42:28.680 ⇒ 00:42:32.269 Mat Schwarz: And then I have some campaigns. We never met about this, but, like.
444 00:42:32.800 ⇒ 00:42:35.270 Mat Schwarz: I… we have a huge campaign with,
445 00:42:35.610 ⇒ 00:42:39.080 Mat Schwarz: WebMD launching October 15th or something?
446 00:42:39.270 ⇒ 00:42:42.340 Mat Schwarz: But I think we have good UTMs for that.
447 00:42:43.480 ⇒ 00:42:44.680 Mat Schwarz: I’m hoping.
448 00:42:44.870 ⇒ 00:42:46.590 Mat Schwarz: Because I did them.
449 00:42:47.290 ⇒ 00:42:52.279 Mat Schwarz: So this is my sheet that I think we’re gonna be able to pull all the data, but it’s a huge,
450 00:42:52.630 ⇒ 00:42:53.470 Mat Schwarz: I’ll show you now.
451 00:42:54.130 ⇒ 00:43:00.659 Mat Schwarz: package that we… that Mitesh had booked a couple months back. So there’s a lot of ads, a lot of media that we’re running.
452 00:43:01.640 ⇒ 00:43:03.360 Mat Schwarz: But we should be okay.
453 00:43:05.180 ⇒ 00:43:07.919 Mat Schwarz: I have source, and I even have product in it.
454 00:43:08.260 ⇒ 00:43:13.350 Mat Schwarz: And every single piece of creative that goes out has, you know, the CGMs.
455 00:43:14.910 ⇒ 00:43:21.350 Mat Schwarz: So I don’t think we need to build anything special for it, but just so you know, it’s a huge thing that’s launching in, I think in September, October.
456 00:43:22.340 ⇒ 00:43:23.829 Mat Schwarz: 21, I think.
457 00:43:25.590 ⇒ 00:43:26.330 Mat Schwarz: Cool.
458 00:43:26.550 ⇒ 00:43:27.310 Zoran Selinger: Excellent.
459 00:43:28.020 ⇒ 00:43:28.670 Mat Schwarz: Right.
460 00:43:29.660 ⇒ 00:43:30.660 Henry Zhao: Alright, thank you guys.
461 00:43:30.930 ⇒ 00:43:31.839 Mat Schwarz: Thank you, guys.
462 00:43:32.310 ⇒ 00:43:33.030 Henry Zhao: Alright, thank you.