Meeting Title: VetLink Strategy Stand-up Date: 2026-03-05 Meeting participants: Mustafa Raja, Brylle Girang, Zoran Selinger, Jasmin Multani, Amber Lin
WEBVTT
1 00:00:48.450 ⇒ 00:00:49.360 Brylle Girang: Hi.
2 00:00:52.440 ⇒ 00:00:53.040 Mustafa Raja: H.
3 00:01:50.780 ⇒ 00:01:55.309 Mustafa Raja: Yeah, so it seems that Robert isn’t joining, and you’ll have to run it.
4 00:01:59.280 ⇒ 00:02:00.460 Brylle Girang: Okay.
5 00:02:00.810 ⇒ 00:02:01.850 Mustafa Raja: Si demos.
6 00:02:02.740 ⇒ 00:02:03.570 Brylle Girang: Gotcha.
7 00:02:06.830 ⇒ 00:02:08.440 Brylle Girang: Let’s just wait for others.
8 00:02:21.370 ⇒ 00:02:23.450 Brylle Girang: Thanks for notifying me, by the way.
9 00:02:24.460 ⇒ 00:02:25.790 Mustafa Raja: Yeah, nobody’s…
10 00:02:50.270 ⇒ 00:02:54.239 Brylle Girang: Oh, Greg is also out, so I think we’re just waiting for Zoran.
11 00:02:55.200 ⇒ 00:02:58.440 Brylle Girang: And Amber. I don’t think Clarence will be joining.
12 00:02:59.800 ⇒ 00:03:00.590 Mustafa Raja: Yeah.
13 00:03:00.770 ⇒ 00:03:04.370 Brylle Girang: Yeah, I think, we can… we can start talking about VetLink.
14 00:03:05.020 ⇒ 00:03:11.929 Brylle Girang: So I was assigned as the EP for PetLink, and I think it falls under the strategy workstream for now, is that right?
15 00:03:12.440 ⇒ 00:03:13.360 Mustafa Raja: Yes.
16 00:03:13.890 ⇒ 00:03:20.920 Brylle Girang: Okay. Can you give me, like, more information about VetLink and what we’re going to be doing with them?
17 00:03:22.280 ⇒ 00:03:26.260 Mustafa Raja: I know what we are going to be doing for them,
18 00:03:26.540 ⇒ 00:03:28.190 Mustafa Raja: What we are going to do is we are.
19 00:03:28.190 ⇒ 00:03:28.540 Zoran Selinger: Hi, guys.
20 00:03:31.100 ⇒ 00:03:32.410 Mustafa Raja: Hey,
21 00:03:32.410 ⇒ 00:03:32.960 Brylle Girang: Hello?
22 00:03:32.960 ⇒ 00:03:40.460 Mustafa Raja: the product analytics for them, using… I think it’s using amplitude or something. This is similar, what we are doing for default.
23 00:03:40.640 ⇒ 00:03:47.949 Mustafa Raja: So we’ll be building fun, conversion funnels and stuff like that for Global Vet.
24 00:03:48.890 ⇒ 00:03:56.169 Brylle Girang: Okay, gotcha. And since this is, like, just the first phase, this is going to be just the discovery phase, right?
25 00:03:56.500 ⇒ 00:03:57.440 Mustafa Raja: Yeah.
26 00:03:57.440 ⇒ 00:04:02.840 Brylle Girang: Okay, okay, gotcha. So, I will be leading as an EPA for that, so by next week, we should have
27 00:04:02.950 ⇒ 00:04:08.539 Brylle Girang: like, the Vault Ready for VetLink, the SOWs, the Notion page.
28 00:04:08.750 ⇒ 00:04:11.289 Brylle Girang: Etcetera, and then we can start working on
29 00:04:11.580 ⇒ 00:04:17.750 Brylle Girang: like, the GAD charts to the scope of the projects that we’re going to be doing for them.
30 00:04:18.410 ⇒ 00:04:25.530 Mustafa Raja: Okay, yeah, I think for that, you can take, the default, one as template.
31 00:04:25.810 ⇒ 00:04:31.869 Mustafa Raja: We built one, specifically for product analytics for default, so that should help you out there.
32 00:04:32.030 ⇒ 00:04:37.619 Brylle Girang: Yeah, that would be helpful. One thing that I’m doing right now is I’m creating, like, a cursor workflow.
33 00:04:37.890 ⇒ 00:04:47.919 Brylle Girang: To kick off new clients such as this, and that’s going to be helpful if you can have references for, like, different work streams, such as product analytics.
34 00:04:48.420 ⇒ 00:04:48.870 Mustafa Raja: Yeah.
35 00:04:48.870 ⇒ 00:04:49.460 Brylle Girang: Okay.
36 00:04:50.100 ⇒ 00:04:52.419 Brylle Girang: Hi, Zoran. Hi, Jasmine. Hi, Amber.
37 00:04:52.800 ⇒ 00:04:53.490 Zoran Selinger: Hi, hi.
38 00:04:54.220 ⇒ 00:04:54.830 Jasmin Multani: Hmm.
39 00:04:55.690 ⇒ 00:05:10.380 Brylle Girang: So, Robert will be skipping, so I’m going to take charge, and bear with me, this is the first time that I’m taking charge for a strategy stand-up, so I’m going to treat this similar to how we run Data Service. So, let’s start with Amble.
40 00:05:10.620 ⇒ 00:05:14.129 Brylle Girang: Zaran, I think everything’s going fine. Can you give updates?
41 00:05:14.980 ⇒ 00:05:33.850 Zoran Selinger: Yeah, actually, it’s, so we have, so we are not tracking the thank you page correctly. This is because in Google Tag Manager, something is not as expected with the transaction cookie, and I just got, finally, a way to test those.
42 00:05:34.780 ⇒ 00:05:36.000 Zoran Selinger: So I got,
43 00:05:36.570 ⇒ 00:05:42.710 Zoran Selinger: a coupon code, and the method of actually testing the workflow, which I haven’t had a chance to do yet.
44 00:05:42.830 ⇒ 00:06:00.040 Zoran Selinger: On their website, so I’m gonna be able to do it now. I have access to Google Tag Manager, so I can… I can actually see exactly what’s happening. Essentially, our tests for session tracking are fine, but you’re not getting anything in the thank you page visits table, because
45 00:06:00.500 ⇒ 00:06:09.819 Zoran Selinger: looks like there is no cookie, that we expect, so I just have to figure out what’s happening with that exactly. And then,
46 00:06:10.330 ⇒ 00:06:13.559 Zoran Selinger: There’s probably going to have to be a conversation.
47 00:06:13.730 ⇒ 00:06:20.679 Zoran Selinger: About, maybe not tracking a subdomain.
48 00:06:21.270 ⇒ 00:06:27.559 Zoran Selinger: Maybe not tracking a subdomain, they’re… basically, they’re, like.
49 00:06:28.350 ⇒ 00:06:33.510 Zoran Selinger: Logging into an account, because it increases the number of
50 00:06:33.640 ⇒ 00:06:45.699 Zoran Selinger: of requests, so much, basically, so much traffic is just from that subdomain. People logging into their own account. It… I think we will cut a lot
51 00:06:45.840 ⇒ 00:06:54.120 Zoran Selinger: a lot of traffic, and I’m gonna do that analysis next week, maybe tomorrow, and just show them that. So next week.
52 00:06:56.040 ⇒ 00:07:06.090 Zoran Selinger: I think we’re not gonna go live Monday, Tuesday, because I want to, like, today and tomorrow, I want to figure out the technical part, so…
53 00:07:06.270 ⇒ 00:07:08.410 Zoran Selinger: I wanna debug this thank you page.
54 00:07:08.740 ⇒ 00:07:18.720 Zoran Selinger: issue, and that’s… once that work… once that’s working, it’s fine. But we… I’ll have to do the analysis on… on the number of requests.
55 00:07:19.560 ⇒ 00:07:29.940 Zoran Selinger: It’s still nothing, like, we’ll get to 120, million records, invocations a month, which is…
56 00:07:30.320 ⇒ 00:07:45.670 Zoran Selinger: 50, 50 US dollars, it’s… it’s not a lot, but I still like to keep it as clean as possible, so I want to do a little bit of… I just want to figure out the proportion for each subdomain, essentially.
57 00:07:45.670 ⇒ 00:08:01.030 Zoran Selinger: proportion of visits for each subdomain, so I can, we can kind of make, make a decision on whether we wanna just, okay, let’s leave it for the whole domain, or we wanna, we wanna filter as much as possible.
58 00:08:01.040 ⇒ 00:08:04.450 Zoran Selinger: Because I think that there could be some savings there.
59 00:08:04.610 ⇒ 00:08:15.690 Zoran Selinger: So that’s… that’s the idea. So, maybe Wednesday next week, maybe even Tuesday, that we go live. But that’s… that’s essentially, that’s essentially it.
60 00:08:15.820 ⇒ 00:08:19.389 Zoran Selinger: Those two steps, basically.
61 00:08:20.240 ⇒ 00:08:25.730 Brylle Girang: Well, I guess, does this just mean that by the end of it, before we launch, or, I mean…
62 00:08:26.620 ⇒ 00:08:31.569 Brylle Girang: Will it be a requirement for Amble to just upgrade their Cloudflare service?
63 00:08:31.570 ⇒ 00:08:49.269 Zoran Selinger: They already have… they already have a pro account. This is sufficient. Oh. This is sufficient. I just wanna… I… I wanna avoid any surprises in cost, because initially, when I… when I looked at the number of requests that I have, my, my estimate
64 00:08:49.410 ⇒ 00:08:51.540 Zoran Selinger: was 100 million.
65 00:08:52.250 ⇒ 00:09:07.140 Zoran Selinger: And that’s around between 35 and 45 US dollars a month, which is nothing. But it seems to me now that, just from running it for a few hours, that it might be more.
66 00:09:07.260 ⇒ 00:09:11.789 Zoran Selinger: Maybe significantly more, maybe 120, 130 million.
67 00:09:13.130 ⇒ 00:09:17.929 Zoran Selinger: So we’ll see, we’ll see. I wanna… I wanna be very precise there.
68 00:09:18.140 ⇒ 00:09:21.720 Zoran Selinger: I want to measure across the day for a few hours.
69 00:09:21.930 ⇒ 00:09:38.569 Zoran Selinger: So, yeah. But right now, the functionality is not all there. I need to figure out what’s happening with that cookie. Yeah, because we… we need to set up a cookie from Google Tag Manager for the transaction, because…
70 00:09:38.820 ⇒ 00:09:46.030 Zoran Selinger: We don’t have the data in the URL. Eden, for example, they have this data in the URL.
71 00:09:46.440 ⇒ 00:09:50.500 Zoran Selinger: In the query parameters. This is not the case with Amble, so…
72 00:09:51.270 ⇒ 00:09:53.689 Zoran Selinger: The cookies is the way to go.
73 00:09:53.870 ⇒ 00:09:57.089 Zoran Selinger: So, yeah, we’ll see. We’ll see how that goes.
74 00:09:57.730 ⇒ 00:10:02.980 Brylle Girang: And then you… you mentioned on your last update that, I think the tests…
75 00:10:03.250 ⇒ 00:10:07.779 Brylle Girang: What was that again? The worker scattered into different subpages, is that right?
76 00:10:09.640 ⇒ 00:10:15.260 Zoran Selinger: Yeah, so worker, yeah, will… will… I mean, it will work across the…
77 00:10:15.920 ⇒ 00:10:22.409 Zoran Selinger: Across the webpage. What did I exactly say? Oh, sorry, across the website.
78 00:10:22.590 ⇒ 00:10:26.209 Brylle Girang: Yeah, you mentioned something about… just a moment.
79 00:10:28.300 ⇒ 00:10:30.500 Brylle Girang: Oh yeah, so the issues with…
80 00:10:32.980 ⇒ 00:10:36.020 Brylle Girang: Oh, there, there, exactly this one. So the worker…
81 00:10:36.170 ⇒ 00:10:43.940 Brylle Girang: Run for 10 to 15 minutes on a few occasions across the site, instead of just isolating one page, is that right?
82 00:10:44.200 ⇒ 00:10:53.339 Zoran Selinger: Yeah, yeah, yeah, we couldn’t, I couldn’t. It’s just… there’s the functionality, so it allows me to put a pattern in there.
83 00:10:53.830 ⇒ 00:11:03.319 Zoran Selinger: Like, a single page pattern in there, but it does not allow me to… it doesn’t actually work on that page only.
84 00:11:03.960 ⇒ 00:11:21.669 Zoran Selinger: So, we can be… it can be only, like, exactly, but I need cases where I’m allowing query parameters. Query parameters are key for the functionality of saving the session, because I’m not saving any sessions if we don’t have any
85 00:11:21.720 ⇒ 00:11:32.620 Zoran Selinger: click ID parameters, or UTMs, so that’s… that’s the criteria for saving. I’m not saving direct visits in there. We don’t care about direct visits.
86 00:11:32.880 ⇒ 00:11:35.959 Zoran Selinger: so that’s…
87 00:11:36.240 ⇒ 00:11:50.479 Zoran Selinger: why this… it’s just not fully, fully working. Other… other features in Cloudflare work with very, very… like… the pattern that we can write are really robust.
88 00:11:50.580 ⇒ 00:11:54.499 Zoran Selinger: But for workers specifically, it’s super limited.
89 00:11:56.030 ⇒ 00:12:07.170 Zoran Selinger: So it’s a… it’s a problem. It’s not a huge problem, because we can do tests on test domains, so workers, they allow you to create a test domain.
90 00:12:09.850 ⇒ 00:12:19.379 Zoran Selinger: Yeah, so we can do a lot of testing there. Okay, cool. I’ve been talking for the most of this, let’s… let’s catch up with other stuff as well.
91 00:12:19.380 ⇒ 00:12:32.290 Brylle Girang: Yeah, yeah, that will be helpful for our summary, but… So, speaking of Ample, Amber, I was thinking about the analysis that you were doing, and it’s currently… everything is in SlackThread. Do you want to maybe transfer that
92 00:12:32.420 ⇒ 00:12:35.400 Brylle Girang: to a Notion document or a Google document for Robert.
93 00:12:35.400 ⇒ 00:12:40.790 Amber Lin: Yeah, it is a notion, but it’s still in progress,
94 00:12:40.790 ⇒ 00:13:05.779 Amber Lin: so I did the… I tried to copy what we have for Eden, so I’m halfway through, I did the cohort analysis and retention and all that. I need more information to do CAC and NCAC, so I have a question for you, Zoran. I… I was looking at the spend data. Would you know if they have more spend data for Facebook and Google? To me, it seems like the data
95 00:13:05.780 ⇒ 00:13:13.070 Amber Lin: stops on, July 2025 I don’t have more data there.
96 00:13:14.360 ⇒ 00:13:24.060 Zoran Selinger: Interesting. I don’t know what that would be. Like I said in the message, I never looked at any of the data out of my scope, yeah.
97 00:13:24.060 ⇒ 00:13:25.560 Amber Lin: Yeah, that’s totally fine.
98 00:13:25.560 ⇒ 00:13:34.189 Zoran Selinger: And I can’t comment on it. We haven’t talked about any kind of marketing efforts, at least I wasn’t in those conversations, so I haven’t.
99 00:13:34.190 ⇒ 00:13:43.140 Amber Lin: Oh, I see. I see, I see. But do you know, like, what channels they’re using? I know they have, like, Facebook, Meta, and is there, like, TikTok?
100 00:13:43.140 ⇒ 00:13:45.400 Zoran Selinger: I do have access to their post hoc.
101 00:13:45.930 ⇒ 00:13:46.990 Amber Lin: Oh, awesome.
102 00:13:48.330 ⇒ 00:13:51.389 Zoran Selinger: So, I can show you…
103 00:13:52.620 ⇒ 00:13:53.740 Brylle Girang: Actually.
104 00:13:54.440 ⇒ 00:13:57.610 Zoran Selinger: So, I think that’s… the login is just my email.
105 00:13:58.140 ⇒ 00:13:59.490 Zoran Selinger: Oh, cool.
106 00:13:59.500 ⇒ 00:14:05.059 Amber Lin: Cool, can you just drop me the link? Because I have never been in post-hop before.
107 00:14:05.740 ⇒ 00:14:09.450 Zoran Selinger: Amd, my first time, as well,
108 00:14:10.220 ⇒ 00:14:15.079 Zoran Selinger: So I’m not… I’m not super skilled in, kind of, looking around yet.
109 00:14:15.730 ⇒ 00:14:28.549 Zoran Selinger: But it’s a good tool, and we should familiarize ourselves with it, because it’s essentially… it has both, like, product analytics and web analytics, so…
110 00:14:28.550 ⇒ 00:14:28.950 Amber Lin: Okay.
111 00:14:29.410 ⇒ 00:14:30.170 Amber Lin: Oh, yeah.
112 00:14:30.510 ⇒ 00:14:55.409 Amber Lin: Yeah, awesome. So I’ll take a look at that, and then for AMBLE for today, I think the rest is I’m gonna refine my CAC analysis. I have the LTV analysis done, so more on CAC, and CAC means Customer Acquisition costs and new customer acquisition costs, so I’m gonna do a bit more there. So I’ll send the updates in Notion, and I’ll wrap it up
113 00:14:55.410 ⇒ 00:15:03.219 Amber Lin: send it to Robert, today or tomorrow. I’m meeting with him tomorrow, so latest tomorrow, he’ll get the updates.
114 00:15:03.770 ⇒ 00:15:04.530 Brylle Girang: Okay.
115 00:15:04.530 ⇒ 00:15:09.509 Amber Lin: I think that’s all on AMBLE. We could talk about Element in a little bit.
116 00:15:10.610 ⇒ 00:15:12.929 Brylle Girang: Yeah? Oh, do you have any updates for Element?
117 00:15:12.930 ⇒ 00:15:26.489 Amber Lin: No updates. I know Wish was out of office. I have one modeling ticket for him. Yeah. Very minimal work, but it’s when he has time. I don’t think the clients urgently need this.
118 00:15:26.550 ⇒ 00:15:34.980 Amber Lin: they’re not working much recently, anyways. So just that ticket, I sent it in Slack. Yeah.
119 00:15:35.550 ⇒ 00:15:36.380 Amber Lin: Nothing.
120 00:15:36.850 ⇒ 00:15:41.979 Brylle Girang: I think we were slowing down with Element because the renewal has not yet pushed through.
121 00:15:42.200 ⇒ 00:15:52.690 Brylle Girang: We don’t have the SOWs yet, it’s still a pending discussion between Robert, Utem, and the Element team, and this is also something that Awash has brought up, that,
122 00:15:52.690 ⇒ 00:15:53.070 Amber Lin: He’s.
123 00:15:53.070 ⇒ 00:15:59.299 Brylle Girang: Resuscitating to do more modeling work, because what we might do is already out of scope.
124 00:15:59.530 ⇒ 00:16:02.639 Brylle Girang: Unless we already have the SOW in place, but…
125 00:16:02.640 ⇒ 00:16:03.000 Amber Lin: God.
126 00:16:03.000 ⇒ 00:16:03.450 Brylle Girang: Sure.
127 00:16:03.450 ⇒ 00:16:04.340 Amber Lin: Okay.
128 00:16:04.630 ⇒ 00:16:12.229 Amber Lin: Yeah, I feel good about it, so just, keep it in the back walk, no need to have him do it, but I send a ticket for your reference.
129 00:16:12.230 ⇒ 00:16:14.390 Brylle Girang: Yeah? Okay, that will be helpful.
130 00:16:14.390 ⇒ 00:16:18.060 Amber Lin: Awesome. Awesome. Okay. Yeah, that’s all my updates.
131 00:16:18.510 ⇒ 00:16:22.830 Brylle Girang: Thank you. How about, for default, Mustafa, do you have any…
132 00:16:23.400 ⇒ 00:16:25.790 Brylle Girang: Oh, sorry, I was looking at the wrong thing.
133 00:16:26.330 ⇒ 00:16:28.240 Brylle Girang: Oh yeah, yeah, default product analytics.
134 00:16:28.240 ⇒ 00:16:44.880 Mustafa Raja: Yeah, yeah, yeah, so for default, we are still, implementing the, events and, also the user properties. For this week, this is going to be it, and next week, we, Greg is going to be building charts based on whatever we are tracking right now.
135 00:16:46.620 ⇒ 00:16:49.540 Brylle Girang: Okay, gotcha. Jasmine, do you have anything on your end?
136 00:16:52.190 ⇒ 00:17:02.779 Jasmin Multani: No, I’m gonna catch up on the, metrics that Amber dropped in the Element channel, and then give feedback from there.
137 00:17:02.990 ⇒ 00:17:03.640 Jasmin Multani: During lunch.
138 00:17:03.640 ⇒ 00:17:04.290 Brylle Girang: Okay.
139 00:17:04.980 ⇒ 00:17:06.510 Brylle Girang: Gotcha, thank you.
140 00:17:06.950 ⇒ 00:17:09.969 Brylle Girang: Yeah, I think we’re good, everyone. Thank you so much.
141 00:17:11.450 ⇒ 00:17:12.030 Brylle Girang: Bye-bye.