Meeting Title: Eden Daily Standup Date: 2026-03-04 Meeting participants: Robert Tseng, Zoran Selinger
WEBVTT
1 00:00:57.150 ⇒ 00:01:03.300 Zoran Selinger: Oh, looks like… Everyone ran.
2 00:01:03.440 ⇒ 00:01:03.850 Robert Tseng: Yeah.
3 00:01:03.850 ⇒ 00:01:05.910 Zoran Selinger: Oh, yeah,
4 00:01:06.200 ⇒ 00:01:15.039 Zoran Selinger: Yeah, so you saw… you brought up a good point yesterday, you were looking at that performance, and…
5 00:01:15.440 ⇒ 00:01:22.850 Zoran Selinger: So I just asked Ryan, so Ryan kind of had… has a bunch of ideas of how to assist
6 00:01:23.080 ⇒ 00:01:36.959 Zoran Selinger: the guys to target a little bit better, so I just asked where I can be of assistance specifically, because some of those things are… they’re internal stuff, so we’ll see, we’ll see. I’ll try to assist there.
7 00:01:37.120 ⇒ 00:01:38.159 Zoran Selinger: And I’m going up.
8 00:01:39.030 ⇒ 00:01:44.970 Zoran Selinger: focus more on this top conversion paths report, today. Yeah, I really want to… I really won’.
9 00:01:44.970 ⇒ 00:01:52.519 Robert Tseng: I did pitch that report to ELT, because they basically… and I think I sent you a message as well, like, how they’re thinking about it,
10 00:01:52.890 ⇒ 00:01:59.120 Robert Tseng: They’re… there’s, like, 3 different types of reports they want to see in the marketing. That’s not even just marketing, but…
11 00:01:59.320 ⇒ 00:02:04.999 Robert Tseng: What they’re calling is, like, channel expansion, which…
12 00:02:05.640 ⇒ 00:02:17.049 Robert Tseng: it’s very vague, but, like, I think what he’s trying to say is, like, there’s, like, he wants a set of reports, like, reports based on different conversion definitions, right? So, like.
13 00:02:17.050 ⇒ 00:02:33.490 Robert Tseng: We have, like, the stuff that we’re working with the agencies on that has just using questionnaire completion as a conversion event. You know, that’s basically what is going into the Eden Control Center reports right now. The vendors are filling those out, or whatever, so…
14 00:02:33.680 ⇒ 00:02:47.219 Robert Tseng: And then there’s gonna be… I mean, he wants… what we have in Omni now, I guess, is using the restrictive definitions that we have for a valid purchase event, so that’s kind of, like, what we consider to be, like, our internal measurement of, like.
15 00:02:47.220 ⇒ 00:02:57.329 Robert Tseng: of CAC and workers and everything, so that’s… that’s gonna stay there. And then there’s… then, like, you know, what you’re suggesting is this, like, attribution flowchart,
16 00:02:57.380 ⇒ 00:02:58.430 Robert Tseng: I’m, like…
17 00:02:58.680 ⇒ 00:03:15.739 Robert Tseng: how visitors are actually coming through the different channels, when we’re, like, mapping out everything, like, what’s really top of funnel versus middle funnel versus bottom of the funnel. Yeah. Like, that’s… that’s the flow report of Zola. So, that’s the way that I kind of pitched it to them, that we have… we’re working towards these three different sets of reports.
18 00:03:15.840 ⇒ 00:03:27.589 Robert Tseng: Yeah, like, I think that’s what they’re… they’re… what they say, when they’re like, how do we know which channels to expand? I think we’re gonna… we need to give them these… I think, yeah, we’re building towards these reset.
19 00:03:28.800 ⇒ 00:03:40.640 Zoran Selinger: Yeah, yeah. I think, just the main… I kind of… the main benefit of that particular report of conversion paths, is it really helps understanding
20 00:03:40.820 ⇒ 00:03:57.140 Zoran Selinger: of where the channel is positioned, when the traffic is converting, because this is specifically converting traffic. When you’re seeing at the top conversion paths, you are looking at converters only, essentially. And then, yeah, you see how
21 00:03:57.510 ⇒ 00:04:02.570 Zoran Selinger: Channels tend to, tend to interact and mix when
22 00:04:02.770 ⇒ 00:04:15.170 Zoran Selinger: the traffic is converting. So it really, really does help with understanding the, the position. Sometimes you, you do get surprises. You might have intended
23 00:04:15.170 ⇒ 00:04:25.210 Zoran Selinger: intended one position in the funnel, and you’re actually getting another. And those things do happen, so that could be… there could be some really interesting findings there.
24 00:04:25.830 ⇒ 00:04:26.410 Robert Tseng: Yeah.
25 00:04:26.790 ⇒ 00:04:31.689 Robert Tseng: Okay. Cool. And then you’re gonna try building that in Omni, right? So, that would be…
26 00:04:31.690 ⇒ 00:04:38.719 Zoran Selinger: Yes, yes, I really, really want to use, use Omni and, and get, get skilled there. It’s the… it’s…
27 00:04:38.950 ⇒ 00:04:43.280 Zoran Selinger: I like it. I would really like to be… be really proficient.
28 00:04:43.550 ⇒ 00:04:54.790 Zoran Selinger: There. And eventually, hopefully, also, I can certify as well. It shouldn’t be a problem once I get a little bit, get a little bit comfortable in there.
29 00:04:55.290 ⇒ 00:04:55.890 Robert Tseng: Yeah.
30 00:04:57.060 ⇒ 00:04:57.600 Zoran Selinger: Yeah.
31 00:04:57.600 ⇒ 00:04:58.060 Robert Tseng: Cool.
32 00:04:58.060 ⇒ 00:04:58.530 Zoran Selinger: Oh, yeah.
33 00:04:58.860 ⇒ 00:05:07.729 Zoran Selinger: It seems to me like, I would like to do exploratory data analysis in there as well, not just create specific reports, but if I can do stuff
34 00:05:07.840 ⇒ 00:05:17.260 Zoran Selinger: in there, and not directly in… in BigQuery interface. I don’t know, maybe that’s a viable workflow. I don’t know.
35 00:05:17.260 ⇒ 00:05:18.589 Robert Tseng: Yeah, yeah.
36 00:05:18.950 ⇒ 00:05:20.650 Zoran Selinger: Could be, because, like.
37 00:05:20.650 ⇒ 00:05:32.959 Zoran Selinger: for… I’m really comfortable with spreadsheets, so I can sometimes do… I can do calculated fields easily there, because it’s in Omni, for example. Right.
38 00:05:32.960 ⇒ 00:05:44.549 Zoran Selinger: few bits and pieces might be easier for me to do in Omni than in BigQuery interface, so yeah, I think it might end up being my main workflow that
39 00:05:44.550 ⇒ 00:05:46.180 Zoran Selinger: It’s… it’s Omni.
40 00:05:46.610 ⇒ 00:05:52.200 Zoran Selinger: And all the… We’ll naturally build into a few kind of standard reports and all of that.
41 00:05:52.530 ⇒ 00:06:02.540 Robert Tseng: Yeah, I mean, that would be… that’d be great. Yeah, definitely try… try… try using it, because we would be the power user, and then…
42 00:06:02.540 ⇒ 00:06:07.830 Zoran Selinger: I would… I would love… I would love that, yeah. And I’m gonna try to work on… on… on that, yeah.
43 00:06:08.440 ⇒ 00:06:09.180 Robert Tseng: Okay
44 00:06:09.410 ⇒ 00:06:23.240 Robert Tseng: Cool. Well, you know, Greg shared his updates. We were… we were on a call with ELT yesterday, giving them their… their training, and they’re just asking all these questions about Omni. I think they’re ready to move forward with it, so we’re just kind of negotiating with Omni and a couple things.
45 00:06:24.430 ⇒ 00:06:38.089 Robert Tseng: yeah, they don’t want to do the two-year contract, and whatever, like, it’s just, you know, logistical things that we’ll figure out. Otherwise, they like what they saw, they like it much better than Tableau, so I think it’s… this is pretty much a done deal, just Greg needs to get it over the line.
46 00:06:38.650 ⇒ 00:06:44.059 Robert Tseng: Yeah, and I think they’re just gonna start to be like, well, if Omni is this, like, true…
47 00:06:44.360 ⇒ 00:06:58.109 Robert Tseng: you know, visualization layer that we’re gonna use, like, now they’re gonna start to… they’re like, I wanna bring in, like, our payments data, and, like, NetSuite and stuff. So, like, that’s… that’s good. Like, I think that’s what’s gonna bring
48 00:06:58.240 ⇒ 00:07:14.449 Robert Tseng: kind of opened the door to bring other data in. Before, like, they weren’t that interested in, like, landing the data in BigQuery, because they’re like, well, we don’t like Tableau, don’t really want you to build it out in Tableau either, but if having this, like, kind of gives them more assurance that, like, hey, they can actually
49 00:07:14.450 ⇒ 00:07:19.380 Robert Tseng: do useful things with other data sources that I want them to bring more data into, to,
50 00:07:19.380 ⇒ 00:07:19.710 Zoran Selinger: Yeah.
51 00:07:19.710 ⇒ 00:07:20.910 Robert Tseng: on me, so…
52 00:07:21.150 ⇒ 00:07:21.500 Zoran Selinger: Yep.
53 00:07:21.500 ⇒ 00:07:22.090 Robert Tseng: Yeah.
54 00:07:22.910 ⇒ 00:07:42.089 Robert Tseng: Cool. So, I think that was… that’s pretty much what… I mean, I’m looking ahead, like, Q2, like, I feel like, assuming Omni’s running, I think it’s gonna be a lot more, I mean, bringing in, yeah, I think, transactions data, like, NetSuite and stuff, and doing some more, kind of, like, operational reporting.
55 00:07:42.170 ⇒ 00:07:52.809 Robert Tseng: Not, like, like, business operations reporting, not just, like, pharmacy operations or whatever. Although that, I think, will continue to… to keep going.
56 00:07:53.380 ⇒ 00:08:05.190 Robert Tseng: Yeah, and then, I guess on the marketing side, I would like to start thinking about, well, basically, their directive was, within 90 days, everybody, all these agencies needs to drive a 15% collective lift.
57 00:08:05.190 ⇒ 00:08:18.249 Robert Tseng: So I think Josh is starting to want to know, well, we’re, like, two months in, how close are we to that? So, I think that’s maybe something that we can, you know, if you’re not, like, having requests, like, you can help, you can help drive that discussion on, like.
58 00:08:19.380 ⇒ 00:08:26.290 Robert Tseng: Yeah, like, we have everything that we’re capturing now, and we basically need to tell him, you know, by the end of this month, like.
59 00:08:26.330 ⇒ 00:08:45.149 Robert Tseng: this is working out or not, and why. So, I think, it would be great if we can kind of work together on building kind of, like, a cohesive analysis for that. Obviously, you’re hearing different things, signals from Ryan, but I think Ryan just, like, kind of… just a lot of scattered ideas, so we need to kind of, like, push together.
60 00:08:45.410 ⇒ 00:08:47.420 Zoran Selinger: Yes, yeah. Yeah. Okay.
61 00:08:47.590 ⇒ 00:08:49.039 Zoran Selinger: And yeah, we can…
62 00:08:49.300 ⇒ 00:08:55.900 Zoran Selinger: Yeah, we can drive that. We can be in the driver’s seat then, there, and…
63 00:08:56.390 ⇒ 00:08:59.750 Zoran Selinger: Like you said, make a kind of cohesive picture.
64 00:09:01.130 ⇒ 00:09:04.860 Zoran Selinger: And yeah, so you said, by the end of the month?
65 00:09:05.940 ⇒ 00:09:07.790 Zoran Selinger: Yeah, well…
66 00:09:08.960 ⇒ 00:09:09.819 Robert Tseng: Well, yeah, so…
67 00:09:09.820 ⇒ 00:09:10.770 Zoran Selinger: in Q1.
68 00:09:11.170 ⇒ 00:09:12.290 Robert Tseng: Yeah, XB1.
69 00:09:13.020 ⇒ 00:09:14.220 Zoran Selinger: Okay, okay.
70 00:09:14.630 ⇒ 00:09:18.269 Zoran Selinger: Yeah, so TikTok just started, basically.
71 00:09:18.270 ⇒ 00:09:27.239 Robert Tseng: Yeah, I mean, I don’t really know how this is gonna go, because some of these guys just got started. TikTok hasn’t been spending until, like, started 2 weeks ago, and they’ve only put, like, less than 10 grand in it, so… I don’t…
72 00:09:27.240 ⇒ 00:09:27.839 Zoran Selinger: Yeah, yeah.
73 00:09:27.840 ⇒ 00:09:28.580 Robert Tseng: Really, no.
74 00:09:28.580 ⇒ 00:09:34.570 Zoran Selinger: Yeah, and Meta’s been since start of February, so yeah, we’ll be… we’ll be…
75 00:09:34.820 ⇒ 00:09:37.800 Zoran Selinger: We’ll have data for Meta, for sure.
76 00:09:37.970 ⇒ 00:09:38.730 Zoran Selinger: Yeah.
77 00:09:39.510 ⇒ 00:09:45.920 Zoran Selinger: Okay, cool, cool, I understand. Yeah, makes sense, let’s do that, let’s do that. We can do that together.
78 00:09:46.560 ⇒ 00:09:47.140 Robert Tseng: Okay.
79 00:09:48.740 ⇒ 00:09:50.300 Robert Tseng: Alright, well, that’s all I got.
80 00:09:50.530 ⇒ 00:09:51.070 Zoran Selinger: Yup.
81 00:09:51.070 ⇒ 00:09:52.120 Robert Tseng: Everything’s Lauren.