Meeting Title: Robert Tseng’s Personal Meeting Room Date: 2025-05-14 Meeting participants: Annie Yu, Demilade Agboola, Robert Tseng, Josh, Rob, Awaish Kumar
WEBVTT
1 00:00:13.580 ⇒ 00:00:15.409 Awaish Kumar: Make sure you can access.
2 00:00:17.350 ⇒ 00:00:19.710 Robert Tseng: Hey? Wish give me like a minute.
3 00:00:19.840 ⇒ 00:00:20.910 Robert Tseng: Oh, goodbye!
4 00:00:23.683 ⇒ 00:00:25.200 Awaish Kumar: Hello! How are you doing.
5 00:00:26.370 ⇒ 00:00:29.889 Robert Tseng: I’m good. Just give me a minute. I’m gonna I’m gonna I’ll be right back.
6 00:00:30.960 ⇒ 00:00:31.600 Awaish Kumar: Okay.
7 00:01:08.380 ⇒ 00:01:10.100 Robert Tseng: Okay, I’m back.
8 00:01:14.340 ⇒ 00:01:25.289 Robert Tseng: yeah. So I was actually just on a call with Ryan. So I guess way through finance. Ryan is the head of Cro. Sebastian is the CTO. Between the 2 of them they kind of
9 00:01:25.410 ⇒ 00:01:32.400 Robert Tseng: manage the gatekeep, the the tagging and tracking stuff through Google tag manager.
10 00:01:34.280 ⇒ 00:01:37.466 Robert Tseng: Yeah, there’s gonna there’s a bit of redundancy. Because,
11 00:01:38.390 ⇒ 00:01:51.499 Robert Tseng: I guess the Cro guy he doesn’t. He only knows how to use Google analytics. And so if he’s just using that to build some of the reporting he wants to see, which is fine, like if he can self serve, that’s great. But we’re also doing.
12 00:01:51.890 ⇒ 00:02:00.330 Robert Tseng: We’re tracking similar things through segment and then into the next panel as well, because that’s just like, you know, that’s that’s where it should live later on.
13 00:02:01.256 ⇒ 00:02:05.619 Robert Tseng: We were looking at the data layer like, right before this call. So he was showing me.
14 00:02:05.740 ⇒ 00:02:11.959 Robert Tseng: I mean, I think you’ve mentioned this, too, like, there’s there’s like the browser based data layer that fast pushes with
15 00:02:12.240 ⇒ 00:02:16.889 Robert Tseng: like hundreds of fields. Most of it is noise and unnecessary. But
16 00:02:17.350 ⇒ 00:02:19.829 Robert Tseng: I basically asked him to be like.
17 00:02:20.010 ⇒ 00:02:29.350 Robert Tseng: yeah, look at this earlier is, he had not seen it before. These are all the different. You know, things that we could get out of the get. Get out of bask
18 00:02:29.765 ⇒ 00:02:37.759 Robert Tseng: but the way that you know we’re not, we’re just. We’re not parsing through it right now. We’re just only extracting what we want and what we haven’t taken very much out of that.
19 00:02:38.190 ⇒ 00:02:49.938 Robert Tseng: So you know, there’s things that I’m just, you know, calling out that even as you’re working through the the tracking today, I’ll probably add a few more properties. Because,
20 00:02:50.480 ⇒ 00:03:00.209 Robert Tseng: yeah, Ryan is like I I’m I asked him to just quickly like review it and come come back to me with it’ll be like question id next question, id
21 00:03:00.840 ⇒ 00:03:17.040 Robert Tseng: like there’s like a Json object within the question that’s like answer, or something like title, like stuff like that. So it’s not gonna look exactly the way that I designed it. I think there’s actually more fields than what I put in the original design that we’re gonna take out of data layer
22 00:03:17.530 ⇒ 00:03:22.059 Robert Tseng: But does that make sense like, have you? You’ve looked at it before as well. I’m assuming right.
23 00:03:23.080 ⇒ 00:03:31.910 Awaish Kumar: So I I have actually worked on the data right? Like extract, like the event setup and the development of the tag manager.
24 00:03:32.310 ⇒ 00:03:39.449 Awaish Kumar: That’s not something. I did right. I I worked after that right? I worked on the
25 00:03:39.610 ⇒ 00:03:41.750 Awaish Kumar: like the like, the segment like from.
26 00:03:42.290 ⇒ 00:03:48.079 Awaish Kumar: I get the data from these events, and then move it to bigquery, and then build the models out of it.
27 00:03:50.210 ⇒ 00:03:59.450 Robert Tseng: Yeah. Yeah. And I’m saying, that’s that’s fine. I mean, Sebastian wants to do the the tracking like he wants to be the gatekeeper there. So
28 00:04:00.640 ⇒ 00:04:04.970 Robert Tseng: okay, but yeah, I guess we just need to have a better handoff of.
29 00:04:05.390 ⇒ 00:04:11.260 Robert Tseng: okay, you don’t want to touch anything until it gets to bigquery like. Then I will have to give
30 00:04:11.380 ⇒ 00:04:14.790 Robert Tseng: Sebastian the instruction on like. What to what to add
31 00:04:15.330 ⇒ 00:04:17.689 Robert Tseng: is that what we’re? Is that what we’re saying here.
32 00:04:19.274 ⇒ 00:04:31.670 Awaish Kumar: Like, I’m saying that I haven’t actually developed those tags before I can work on it. I don’t have issues like working on it, but I’m just saying like it. It might get some time
33 00:04:31.830 ⇒ 00:04:37.839 Awaish Kumar: to for me to like. Put put those events. Then somebody who is familiar.
34 00:04:38.150 ⇒ 00:04:48.749 Robert Tseng: Oh, yeah, no, I mean, and I’m I’m saying we we should do it. Sebastian’s gonna do it, anyway, like so we’ll we. We don’t assume that he’s he’s setting up the tag. I mean, he just needs.
35 00:04:48.920 ⇒ 00:05:08.620 Robert Tseng: I mean, I bet with him yesterday, like I understand his process now, like I just need to wait. I just need to tell. Okay, that’s fine. I think I’ll tell him exactly what to what to tag and track after I get the update from Ryan. You’re gonna see it come through bigquery, and then you can. You can model it from there. We’ll just. We’ll just. We’ll just keep it simpler like that.
36 00:05:09.420 ⇒ 00:05:13.920 Awaish Kumar: Okay. If they have the event, then we have like in the segment.
37 00:05:14.040 ⇒ 00:05:18.553 Awaish Kumar: like, there are 3 parts from we share, like Gtm, and
38 00:05:19.270 ⇒ 00:05:28.810 Awaish Kumar: G, 4 part, maybe they are going to do it. Then we also have to add in segment, so are we. We will be building the segment functions? Or are they.
39 00:05:29.450 ⇒ 00:05:47.200 Robert Tseng: Yeah. So we don’t need to build more segment functions. I think so like, there’s 2 types of events, right? So there’s like the browser based like, there’s a client side data layer that fast pushes through the Google tag. You can actually just go into the console like inspect element console whatever you can. Just see everything there.
40 00:05:48.513 ⇒ 00:05:50.330 Awaish Kumar: That fires on every page.
41 00:05:51.490 ⇒ 00:06:03.529 Robert Tseng: I mean. Obviously, most of it is not necessary. But the web hooks that are set up in segment. Those are non browser based web hooks. Those are fired from their server, and so we don’t
42 00:06:04.060 ⇒ 00:06:07.239 Robert Tseng: unless we’re asking for new server events, which
43 00:06:07.460 ⇒ 00:06:23.649 Robert Tseng: I mean, I guess I haven’t looked at the most recent product update. I don’t think they’ve said anything new recently, we don’t need to build any new functions there. It’s really just like we don’t. The point is like you don’t have to add anything new to segment. I think we’re just changing the way that things are firing from Google tag, manager.
44 00:06:25.140 ⇒ 00:06:34.260 Awaish Kumar: Okay? So I, okay, then it’s once it is in Gfo, it’s it will automatically going to be in bigquery, because you have already set up the streaming.
45 00:06:34.650 ⇒ 00:06:36.719 Robert Tseng: Like the entire stream goes into. Yeah.
46 00:06:36.720 ⇒ 00:06:37.140 Awaish Kumar: Yep.
47 00:06:37.140 ⇒ 00:07:04.029 Robert Tseng: Yeah, okay, cool. So I mean, I know, I split it up in 3 tickets here, like, there’s like, the okay, we’re doing the intake ones. First.st Yeah, I mean, I I will. Just, I’m gonna make sure that I would get that over to Sebastian today. Yeah, anyway. So there’s like multiple phases. So I just I just split it up. So yeah, I guess there’s gonna be a bit of back and forth. And us like trying to coordinate across this pipeline, which is kind of annoying. But it’s fine.
48 00:07:06.470 ⇒ 00:07:08.509 Robert Tseng: Okay, hopefully, that clears it up.
49 00:07:12.620 ⇒ 00:07:25.307 Robert Tseng: Yeah, I’m actually gonna just record a video for for you guys as well like, I’m just gonna show you what I mean. Okay, I feel like we’re we’re not. We don’t fully understand. Like the data, the data layer and
50 00:07:25.760 ⇒ 00:07:30.560 Robert Tseng: like, what? Like how the distinguish between the client versus
51 00:07:30.710 ⇒ 00:07:38.080 Robert Tseng: put you in the server here. So I’ll I’ll record something right after this call, okay.
52 00:07:38.940 ⇒ 00:07:44.342 Robert Tseng: alright, I know other people joined. We kind of went pretty deep into like one topic here.
53 00:07:45.280 ⇒ 00:07:46.550 Robert Tseng: yeah, I guess.
54 00:07:47.060 ⇒ 00:07:53.660 Robert Tseng: Yeah, Rob, since you’re on, and I know we don’t usually like, I guess, we.
55 00:07:55.080 ⇒ 00:07:59.079 Robert Tseng: any anything that you wanted to mention on your side.
56 00:08:00.034 ⇒ 00:08:12.045 rob: I’m just working with the team on some type form data stuff. So it’s not really relevant to this. But I do have a question for Demo audit. Is he on here?
57 00:08:13.157 ⇒ 00:08:15.370 Robert Tseng: He is not.
58 00:08:15.370 ⇒ 00:08:23.420 rob: I’m still not seeing those products mapped in. So the cogs are off. I’m just wondering if he wants my help getting those.
59 00:08:24.760 ⇒ 00:08:27.839 rob: It’s causing kind of a problem for Bobby.
60 00:08:28.830 ⇒ 00:08:29.880 Robert Tseng: I see.
61 00:08:35.590 ⇒ 00:08:42.229 Robert Tseng: Yeah, I just picked him. But okay, well, I’m if if he doesn’t join this call, can you meet with him? Like, after.
62 00:08:42.230 ⇒ 00:08:55.450 rob: Yeah, yeah, I was going to, anyway. But yeah, I’ll do that. And I I think that’s gonna fix the problem with the customer. I/O thing that Bobby’s facing. But yeah, I’ll I’ll meet with Delano and make sure.
63 00:08:55.880 ⇒ 00:08:56.580 Robert Tseng: Okay.
64 00:08:56.760 ⇒ 00:09:05.709 Robert Tseng: yeah. I mean, he should just respond a couple of minutes ago. I don’t know why he’s on the call yet. But yeah, if he doesn’t jump on. Yeah. If you could just meet with him afterwards.
65 00:09:06.260 ⇒ 00:09:06.790 rob: Okay.
66 00:09:06.960 ⇒ 00:09:08.110 Robert Tseng: Good thanks.
67 00:09:08.110 ⇒ 00:09:11.719 rob: Alright. I’ll jump then, if you need anything from me, let me know.
68 00:09:11.720 ⇒ 00:09:12.669 Robert Tseng: Okay. Thanks. Rob.
69 00:09:13.010 ⇒ 00:09:13.710 rob: Bye.
70 00:09:17.150 ⇒ 00:09:28.998 Robert Tseng: Okay. So maybe next thing. So, Annie, I know there’s like a lot of stuff that kind of changed in the past day on your plate. So I wanna make sure you you feel good about what’s what’s
71 00:09:29.600 ⇒ 00:09:32.120 Robert Tseng: what’s up? What’s what you’re working on.
72 00:09:34.297 ⇒ 00:09:41.242 Annie Yu: Yeah, I do have question about the Ltv and and Cag. I did see that your comment about the product
73 00:09:41.870 ⇒ 00:09:48.540 Annie Yu: the other dashboard. And I think, from what I understand, you’re saying that we currently use
74 00:09:49.665 ⇒ 00:09:57.384 Annie Yu: Ltv, from 12 months ago, divided by current and Cac. Is that what you were trying to say, based on
75 00:09:57.870 ⇒ 00:09:59.940 Annie Yu: the query example.
76 00:09:59.940 ⇒ 00:10:05.450 Robert Tseng: Yeah. So I sent you a query. I mean, my, the query example I showed you was like a 12 month lag.
77 00:10:05.580 ⇒ 00:10:06.860 Robert Tseng: or like.
78 00:10:07.582 ⇒ 00:10:13.570 Robert Tseng: yeah, it’s like Ltv. From 12 months ago. The the dashboard is not exactly that. It’s like.
79 00:10:13.570 ⇒ 00:10:14.250 Annie Yu: Oh, okay.
80 00:10:14.250 ⇒ 00:10:24.790 Robert Tseng: 12 months ago, 3 months rolling average. So it’s like, really more like 14 to 11 months ago. It’s like, it’s kind of weird. But like, that’s.
81 00:10:25.686 ⇒ 00:10:36.619 Annie Yu: Yeah, I did. I do understand what you mean. But yeah, looking at that dashboard, I think, I, just wanna clarify it looks like that 3 month. Average
82 00:10:36.870 ⇒ 00:10:45.920 Annie Yu: ratio from 2024 was just using the Ltv. And Ncac. From then. Not not current Ncag, though.
83 00:10:49.080 ⇒ 00:10:58.290 Robert Tseng: So, okay, well, I mean, I.
84 00:10:58.610 ⇒ 00:11:03.130 Annie Yu: Yeah, I dug in. I dug into the workbook, and that
85 00:11:03.480 ⇒ 00:11:09.569 Annie Yu: calculation was just using both Ltv. And Ncac. From last year.
86 00:11:10.840 ⇒ 00:11:14.490 Annie Yu: not not 12 months lacked value.
87 00:11:15.750 ⇒ 00:11:16.670 Robert Tseng: The Cac.
88 00:11:17.000 ⇒ 00:11:20.880 Annie Yu: Yeah, you you can double check. But I I think we’re yes.
89 00:11:21.720 ⇒ 00:11:26.289 Annie Yu: I I just did. I just checked that before jumping on this call.
90 00:11:27.390 ⇒ 00:11:29.330 Robert Tseng: Okay.
91 00:11:34.170 ⇒ 00:11:38.290 Robert Tseng: okay, I mean, like, yeah, I mean, I’m gonna pull it up right now. So.
92 00:11:49.910 ⇒ 00:11:52.089 Annie Yu: Are you sharing the screen or not?
93 00:11:52.320 ⇒ 00:11:55.269 Robert Tseng: Oh, not yet. Yeah. I’ll share it now. Yeah.
94 00:12:03.950 ⇒ 00:12:07.409 Annie Yu: Yeah, you can go into edit if we wanna see how it’s.
95 00:12:08.120 ⇒ 00:12:13.280 Robert Tseng: Yeah, yeah, I mean, I I see. I mean, this is what we had said. I’m trying to think of.
96 00:12:14.995 ⇒ 00:12:18.270 Robert Tseng: We had like, determined this like.
97 00:12:19.060 ⇒ 00:12:21.509 Robert Tseng: Yeah, I don’t know. Some time ago. I
98 00:12:21.940 ⇒ 00:12:35.420 Robert Tseng: I do think this needs to be updated, which is why I recreated this ticket and everything. But yeah, I mean, this is what the team thinks is like the Ltv tech ratio, which is why, when you, when we what’s offering the other one.
99 00:12:35.550 ⇒ 00:12:47.619 Robert Tseng: Personally, I think that, like the Ltv. Assumption, is roughly there, like, I do think that we had done a 1 off analysis before we had shown, like what the
100 00:12:47.720 ⇒ 00:12:52.549 Robert Tseng: actual like Ltv. Like Timeline was, or
101 00:12:52.670 ⇒ 00:12:57.511 Robert Tseng: and we and we had done it by product. That’s like the other ticket that I had linked.
102 00:12:59.120 ⇒ 00:13:06.839 Robert Tseng: So I created this one. I re, I kind of. I shared this out with you. It’s a 1 time. Ltv analysis. You can kind of review that again.
103 00:13:07.423 ⇒ 00:13:10.809 Robert Tseng: We never deployed it, because this was just.
104 00:13:11.470 ⇒ 00:13:16.310 Robert Tseng: Adam was just very insistent that this is the way he wanted to see it. So we just conceded on that
105 00:13:16.540 ⇒ 00:13:18.679 Robert Tseng: on the Ncac. Side.
106 00:13:18.800 ⇒ 00:13:23.590 Robert Tseng: I understood that we were using it. But yeah, I just
107 00:13:24.950 ⇒ 00:13:44.900 Robert Tseng: I I guess maybe the conversation came down to, and I don’t remember. I have to go through some threats. It was like, Okay, if we’re using Ltv. From 12 months ago. We can’t be using Ncac from like, you know, this past month, because that’s not that doesn’t make sense. It’s not in the same time period. So you have to use the ratio from back then. So I believe that’s why we decided to to just like.
108 00:13:45.620 ⇒ 00:13:48.849 Robert Tseng: I don’t know. Create this like lagging metric.
109 00:13:49.430 ⇒ 00:13:59.450 Robert Tseng: I I do think this needs this needs to be refreshed. It’s not that helpful to view it with such a such a big lag. And so I think that’s what this
110 00:14:00.090 ⇒ 00:14:14.949 Robert Tseng: ask is, you’re gonna re. We’re gonna re. We’re gonna validate, hey? If we were to update this method by using the cohort based approach that we did on the other retention dash, or we were to actually use to predict, like kind of use, the
111 00:14:15.380 ⇒ 00:14:24.470 Robert Tseng: I guess you could build on this analysis and use the predictive Ltv, approach instead, like, what would like, how would that adjust?
112 00:14:25.402 ⇒ 00:14:31.619 Robert Tseng: You know these numbers? Right? It’s gonna be different. But, like I, I want us to like kind of incubate, like what
113 00:14:31.710 ⇒ 00:14:56.140 Robert Tseng: the difference would be. And so we can, you know. Obviously, if it’s like very different. Then people will freak out and like we’re, gonna you know, run to the same like fire drills like last yesterday evening. So like I, it’s it’s gonna be like, I do think it needs to be updated. It’s going to be different. But like we need to like, make sure that we’re clear on which one to which which approach to to recommend.
114 00:14:56.740 ⇒ 00:14:58.379 Annie Yu: Okay, okay, got it.
115 00:14:58.380 ⇒ 00:15:02.179 Robert Tseng: So I mean, I know you were talking to me last week about like kind of
116 00:15:02.320 ⇒ 00:15:08.099 Robert Tseng: Ltb forecasting and stuff like I would say, this is probably the 1st step to that, like, we can’t even think about
117 00:15:08.340 ⇒ 00:15:14.100 Robert Tseng: forecasting yet until we like update, like our understanding of Ltv across products. So.
118 00:15:15.090 ⇒ 00:15:15.660 Robert Tseng: Yeah.
119 00:15:17.260 ⇒ 00:15:24.500 Robert Tseng: okay, so I know this kind of open ended, does that make sense? I know there’s like, kind of 2 things I’m asking you to investigate here in terms of alternatives, but, like.
120 00:15:24.500 ⇒ 00:15:34.040 Annie Yu: Yeah, I haven’t. I just briefly looked through that ticket and haven’t spent too much time on it. So I I will take a closer look.
121 00:15:36.610 ⇒ 00:15:41.189 Robert Tseng: Okay, yeah, anyway. So I do think that.
122 00:15:42.080 ⇒ 00:15:49.359 Robert Tseng: Yeah, I mean, we can explain the difference, which is fine for now. But yeah, I I do. I do think we should
123 00:15:49.840 ⇒ 00:15:55.390 Robert Tseng: like it’s a it’s a good time to revisit, revisit how we’re actually presenting this.
124 00:15:56.090 ⇒ 00:15:56.770 Annie Yu: Okay.
125 00:15:57.040 ⇒ 00:15:57.660 Robert Tseng: Yeah.
126 00:16:00.090 ⇒ 00:16:00.970 Robert Tseng: Okay.
127 00:16:02.550 ⇒ 00:16:09.410 Robert Tseng: yeah. I kind of put a couple of things on the last minute. I guess you know, if you’re gonna take some time. There, I’ll actually pull.
128 00:16:12.800 ⇒ 00:16:14.910 Robert Tseng: Which one did I add?
129 00:16:15.260 ⇒ 00:16:20.660 Robert Tseng: Yeah, I’ll I’ll take this off of you. I’ll I’ll go and do it. It’s just like a quick poll from
130 00:16:21.120 ⇒ 00:16:24.161 Robert Tseng: from Jonah. Who’s and
131 00:16:25.400 ⇒ 00:16:41.469 Robert Tseng: I wanted you what? It’s fine like. I’ll do it. I just wanted you to get familiar with like kind of demographic data. But I think it’d be better better use of your time to finish what’s outstanding, and also give us a point of view on the on, the on the Ltv. Thing.
132 00:16:42.922 ⇒ 00:16:52.140 Annie Yu: Yeah. And I did see them audit refresh the model with personalized flag. So.
133 00:16:52.370 ⇒ 00:16:55.220 Robert Tseng: Okay, so yeah.
134 00:16:55.220 ⇒ 00:16:57.949 Annie Yu: Open up. Not sure if that went through already.
135 00:16:59.000 ⇒ 00:17:07.059 Demilade Agboola: Oh, no, it’s still current. It’s still like work in progress. But it should be. It will be in production like maybe 30 min within the next hour. Basically.
136 00:17:08.099 ⇒ 00:17:17.409 Robert Tseng: Okay, yeah, let’s close this out and let’s get Rebecca an update here like I, wanna we’ve been, we’ve been kind of quiet like, I wanna get a couple couple of wins here. So
137 00:17:18.258 ⇒ 00:17:24.189 Robert Tseng: yeah, that. And then I guess it’s fine. I I can handle any other questions on the
138 00:17:25.179 ⇒ 00:17:31.479 Robert Tseng: the mer like, are we done with the mer reporting? I feel like, I like a broken record here. Okay, yeah.
139 00:17:32.825 ⇒ 00:17:38.530 Annie Yu: The Ltv question was actually for this dashboard as well, because we have that.
140 00:17:38.730 ⇒ 00:17:41.769 Robert Tseng: Yeah, yeah. I mean, the Ltv, I understand, was on that.
141 00:17:41.770 ⇒ 00:17:48.180 Annie Yu: The other parts about the channel. I updated it with the current model.
142 00:17:48.480 ⇒ 00:17:49.440 Robert Tseng: Oh, okay.
143 00:17:52.860 ⇒ 00:18:03.109 Annie Yu: And I did not basically did not change any like visuals. I just reorganized it just because they are using different models.
144 00:18:10.440 ⇒ 00:18:20.579 Robert Tseng: I see weekly daily, we kept the channels. Okay, yeah, I see that you updated this.
145 00:18:20.690 ⇒ 00:18:23.960 Robert Tseng: Okay, yeah. So I know the main thing that was in question was really this section.
146 00:18:24.440 ⇒ 00:18:26.740 Robert Tseng: But you’re saying that you had updated everything else here.
147 00:18:26.740 ⇒ 00:18:31.267 Annie Yu: Yeah. And I think one question about this weekly mer,
148 00:18:32.090 ⇒ 00:18:39.509 Annie Yu: that one includes both paid and unpaid. Is that expect? Is that the expectation or okay.
149 00:18:39.510 ⇒ 00:18:41.030 Robert Tseng: Yeah, that’s what Mersh should be.
150 00:18:41.858 ⇒ 00:18:49.489 Robert Tseng: Yeah. So I mean, even this, I don’t like we should include everything. So if it’s just paid like it needs to include both.
151 00:18:51.420 ⇒ 00:19:00.229 Robert Tseng: Yeah. So then, we have the paid versus unpaid down here, which is great. But like, I think the purpose of this section is that it should be blended. It should include both.
152 00:19:00.680 ⇒ 00:19:03.189 Annie Yu: Okay, so I’ll update that daily.
153 00:19:03.470 ⇒ 00:19:09.830 Robert Tseng: Yeah, can we shrink the daily window? Like, if it’s daily? Maybe we just do like a week or 2 weeks
154 00:19:09.830 ⇒ 00:19:10.810 Robert Tseng: for sure.
155 00:19:10.810 ⇒ 00:19:14.679 Robert Tseng: Yeah. So we’ll do that. We’ll shrink. This this looks good.
156 00:19:15.527 ⇒ 00:19:20.740 Robert Tseng: Yeah, clear. And then, yeah, I mean, I like, I like the this visualization better.
157 00:19:21.130 ⇒ 00:19:26.499 Robert Tseng: I understand? We will have questions here. I mean, this does look kind of crazy like having 200 is just.
158 00:19:27.290 ⇒ 00:19:30.810 Robert Tseng: I mean, I wonder if it’d be, can we can. We just like.
159 00:19:32.740 ⇒ 00:19:34.560 Robert Tseng: I kind of want to just hide
160 00:19:35.740 ⇒ 00:19:40.020 Robert Tseng: the shock factor on this. Can we? Just can we just do the
161 00:19:41.010 ⇒ 00:19:44.046 Robert Tseng: like what I had pointed out here.
162 00:19:45.950 ⇒ 00:19:47.439 Robert Tseng: Where did I guess.
163 00:19:48.020 ⇒ 00:19:52.530 Annie Yu: I mean, like, use the Ltv. From 12 months ago.
164 00:19:53.480 ⇒ 00:19:58.439 Annie Yu: What about the Ncac. Do we wanna use the current one or the.
165 00:20:00.440 ⇒ 00:20:05.029 Robert Tseng: Yeah, I feel like we’re playing catch up on something we should have like thought ahead of
166 00:20:05.160 ⇒ 00:20:14.510 Robert Tseng: before. I mean, I feel like we should just keep it the same, for now, like it’ll just.
167 00:20:15.201 ⇒ 00:20:17.850 Annie Yu: Okay, both from 12 months ago.
168 00:20:17.850 ⇒ 00:20:23.890 Robert Tseng: Yeah, yeah, anything. You can just make a call out. You know, it’s like, reference kind of this like this, this this
169 00:20:24.070 ⇒ 00:20:32.329 Robert Tseng: report, or whatever we’re using the same logic there. But yes, in parallel, we are also, you know, yeah, we’re we’re pursuing like we need to. We need to update it.
170 00:20:32.620 ⇒ 00:20:40.260 Annie Yu: Yeah. But even with that dashboard that those charts are actually showing the current, not from the 12 months ago.
171 00:20:42.380 ⇒ 00:20:43.770 Robert Tseng: Yeah, I understand.
172 00:20:45.200 ⇒ 00:20:54.870 Robert Tseng: Yeah. So I mean, I think that’s why I didn’t really pay attention too much to the top. Because when people are talking to me about intact. We’d always just be looking at this. I know that this is up. This is like recent.
173 00:20:55.170 ⇒ 00:21:01.309 Robert Tseng: but the ratios are all kind of they’re all like stuck like 12 months ago, or whatever right? So
174 00:21:05.146 ⇒ 00:21:11.160 Annie Yu: No, I think I was trying to ask if you look at that blue line chart, it’s
175 00:21:11.450 ⇒ 00:21:18.320 Annie Yu: the same as what I have here from the other dashboard.
176 00:21:19.110 ⇒ 00:21:19.643 Robert Tseng: That’s it.
177 00:21:20.060 ⇒ 00:21:23.720 Annie Yu: Yeah, if you filter to injectable Sema.
178 00:21:24.130 ⇒ 00:21:26.849 Robert Tseng: Because it’s actually using this. The current
179 00:21:43.340 ⇒ 00:21:44.050 Robert Tseng: good.
180 00:21:45.890 ⇒ 00:21:50.530 Robert Tseng: By the way, on categorize. Is this a? Is this a mistake?
181 00:21:51.880 ⇒ 00:21:52.870 Robert Tseng: Hey, Marty?
182 00:21:55.607 ⇒ 00:21:59.210 Demilade Agboola: It’s there, but like there should be no other count associated with it.
183 00:21:59.740 ⇒ 00:22:00.410 Robert Tseng: Oh, okay.
184 00:22:02.010 ⇒ 00:22:04.860 Robert Tseng: So, Annie, you’re saying, this is the same.
185 00:22:05.100 ⇒ 00:22:05.870 Annie Yu: Yeah.
186 00:22:16.870 ⇒ 00:22:19.460 Robert Tseng: I’m honestly confused, like why we had.
187 00:22:19.460 ⇒ 00:22:24.899 Annie Yu: It will be. Those 3 top lines are using the 12 months ago. But then
188 00:22:25.330 ⇒ 00:22:30.330 Annie Yu: all other charts here, those 3 are using the current ones.
189 00:22:31.130 ⇒ 00:22:31.760 Robert Tseng: Yeah.
190 00:22:31.920 ⇒ 00:22:50.680 Robert Tseng: Okay, well, I mean, just like, we’ll just like reasoning through it, right? If we’re looking at recent. Ltv, most recent. Ltv, of course, this is going to be like one, or like like worse, because they they they just only made their 1st purchase right? So we expect this ratio to increase as we go back over time.
191 00:22:51.598 ⇒ 00:23:00.541 Robert Tseng: and so like. That’s why this was like kind of a weird metric to be looking at anything this would tell us payback period, or like some signal of of that
192 00:23:01.100 ⇒ 00:23:04.340 Robert Tseng: but like, if it monthly. Ltv, like.
193 00:23:05.150 ⇒ 00:23:14.050 Robert Tseng: I think this is fine, this is well, yeah, I maybe we, you know, I’ll just talk to mattash and be like, look like we don’t necessarily have to make this look the same as this
194 00:23:14.400 ⇒ 00:23:20.510 Robert Tseng: one. Right? He’s what’s the purpose of him seeing like, monthly. Ltv, here, right? That’s like, okay.
195 00:23:21.690 ⇒ 00:23:38.119 Robert Tseng: yeah. Obviously, for this month, like the average order value. Really for that month was was this. And then, as you go back a bit like, yeah, like, obviously, people have placed maybe 2 2 or more orders. But at at this point, and that’s why is high.
196 00:23:38.230 ⇒ 00:23:39.190 Robert Tseng: So
197 00:23:42.890 ⇒ 00:23:46.499 Annie Yu: Because I guess, for now, how should we update this.
198 00:23:46.800 ⇒ 00:24:01.999 Robert Tseng: Yeah, you know what like, you don’t have to update it. I think we were just trying to be too reflexive and just trying to like make it like this. I think the other point of like updating the way we talk about it is more important. I’ll talk to just make sure like.
199 00:24:02.240 ⇒ 00:24:12.329 Robert Tseng: Well, if anything, we might adjust the naming of this and like I I guess I would just like to talk to him about like how how this should be used differently from from this.
200 00:24:13.480 ⇒ 00:24:16.910 Annie Yu: Okay, okay, so change nothing. For now.
201 00:24:16.910 ⇒ 00:24:23.999 Robert Tseng: Yeah, just let’s just let’s just not change anything for now. Okay, thank you for pointing that out. I didn’t really make the connection. Yeah.
202 00:24:27.340 ⇒ 00:24:38.919 Robert Tseng: okay, I know we kind of went pretty deep into that. Rob was on earlier. He wanted to talk to you about some like product mapping and cogs and stuff. So if you could connect with him after this call
203 00:24:39.612 ⇒ 00:24:43.290 Robert Tseng: like, it’s he seems like he’s waiting waiting on us to help with something.
204 00:24:43.950 ⇒ 00:24:46.110 Demilade Agboola: Okay, I will reach out to him right now.
205 00:24:46.520 ⇒ 00:24:47.100 Robert Tseng: Yeah.
206 00:24:48.610 ⇒ 00:24:49.470 Robert Tseng: And then.
207 00:24:49.620 ⇒ 00:24:58.510 Robert Tseng: yeah, I know, you know, we are waiting on some stuff like, I haven’t actually put together like the log of issues for bass. Which one? So
208 00:24:58.670 ⇒ 00:24:59.880 Robert Tseng: that’s.
209 00:24:59.880 ⇒ 00:25:02.989 Demilade Agboola: Have I assigned that to you I created a ticket and assigned it to you.
210 00:25:02.990 ⇒ 00:25:06.100 Robert Tseng: Yeah, yeah, I know you did. I? Just I haven’t done it yet.
211 00:25:08.340 ⇒ 00:25:17.960 Robert Tseng: yeah. I already talked to Ryan about kind of like how I want him and the team to like label questionnaires differently think he understands. And he’s on board with that.
212 00:25:18.710 ⇒ 00:25:22.629 Robert Tseng: So yeah, I think that’s yeah, really just getting the the tracking
213 00:25:22.740 ⇒ 00:25:25.709 Robert Tseng: done today is really the my main goal.
214 00:25:25.880 ⇒ 00:25:30.279 Robert Tseng: Is there anything else that you’re working on day that you need support on.
215 00:25:31.627 ⇒ 00:25:48.739 Demilade Agboola: So not per like. The thing I’m working on next is the file size. So Rebecca is currently feeling that she finished the conventional like mapping today. Conventional versus personalized today. So that’s why we create the model for that. And
216 00:25:50.090 ⇒ 00:25:56.389 Demilade Agboola: I just sent a request, a wish to review the Pr. But once that’s done, it will be available in production.
217 00:25:56.710 ⇒ 00:26:03.870 Demilade Agboola: So the next thing will be the file size, and being able to then quantify the file size and use it in our refills.
218 00:26:04.793 ⇒ 00:26:09.860 Demilade Agboola: We still need an idea of how to tie treatments, to transactions, to orders.
219 00:26:10.377 ⇒ 00:26:14.502 Demilade Agboola: Which is one of the requests we’ve made with Zack, which was the
220 00:26:15.540 ⇒ 00:26:20.739 Demilade Agboola: data, pointing that he said he was gonna like, point out how, though, how to tie everything together.
221 00:26:20.860 ⇒ 00:26:27.040 Demilade Agboola: but he still hasn’t actually done that. And so that’s kind of like a blocker bought
222 00:26:27.730 ⇒ 00:26:29.619 Demilade Agboola: about the the major things.
223 00:26:31.790 ⇒ 00:26:40.849 Robert Tseng: Okay, yeah, no, I. It’s that’s on me to push back. You guys, you guys don’t have to worry about that. Yeah, I kind of just lost some momentum. And then I just
224 00:26:41.240 ⇒ 00:26:44.819 Robert Tseng: yeah, I just I can’t keep track of all the things we’re asking for. So
225 00:26:45.357 ⇒ 00:26:48.859 Robert Tseng: yeah, I’ll I’ll I’ll send those messages today.
226 00:26:52.200 ⇒ 00:26:53.000 Robert Tseng: Okay.
227 00:26:53.130 ⇒ 00:27:00.420 Josh: Like some Pm. Support from Tigran, or what do you? What do you need like? I don’t like hearing that we are losing track of stuff.
228 00:27:02.001 ⇒ 00:27:07.820 Robert Tseng: I need a I need a Pm. For her questions to Zack. That don’t get answered slack.
229 00:27:07.820 ⇒ 00:27:12.239 Josh: Yeah, I would. I would just make sure that Tigran is paying down and stuff.
230 00:27:13.030 ⇒ 00:27:21.169 Robert Tseng: Okay, maybe I will just start tagging him, and and everything be like, Hey, remind us to follow up on a thing in a week or something.
231 00:27:22.850 ⇒ 00:27:29.960 Josh: And I mean, if it’s in one place, because also you gotta remember 2 execs, probably getting a hundred 1,000 requests a day.
232 00:27:29.960 ⇒ 00:27:30.750 Robert Tseng: Yeah.
233 00:27:33.880 ⇒ 00:27:45.429 Robert Tseng: okay, yeah. You know, I might. I might. Just, I’ll loop. I’ll loop to ground in to help to help with this, like. Obviously, I’ll give him the context. We’re waiting outstanding. But then just have him kind of build. The thing that’s in one place.
234 00:27:48.530 ⇒ 00:27:49.210 Josh: Yep.
235 00:27:52.800 ⇒ 00:27:53.350 Robert Tseng: Yeah.
236 00:27:53.460 ⇒ 00:28:00.130 Robert Tseng: yeah, I mean, this board doesn’t do a good job of like keeping track of like what we’re waiting on from other people. It just really helps me like.
237 00:28:00.630 ⇒ 00:28:03.070 Robert Tseng: manage like, what we’re working on.
238 00:28:03.470 ⇒ 00:28:04.200 Robert Tseng: So.
239 00:28:09.890 ⇒ 00:28:14.468 Robert Tseng: okay, yeah. I mean, that’s that’s that’s it. We we have.
240 00:28:15.370 ⇒ 00:28:19.169 Robert Tseng: yeah, we got. We got a lot to try to close out today. So.
241 00:28:20.010 ⇒ 00:28:26.209 Josh: Yeah, we do. Man, we gotta make proof. Make moves. I value outcomes over output. I wanna
242 00:28:26.530 ⇒ 00:28:38.749 Josh: I wanna make sure that you know, everyone’s getting what they need. And especially right now, like, I mean, like, we’re going through some shit with a lot of these pharmacy transfers. And like all these other things, and like, there’s a lot of chaos happening. And
243 00:28:39.340 ⇒ 00:28:42.090 Josh: in Operations land. So.
244 00:28:42.090 ⇒ 00:28:42.690 Robert Tseng: Okay.
245 00:28:42.690 ⇒ 00:28:52.610 Josh: Gotta make sure that, like our marketing dashes are up to date, too. Like when I saw that Ltv thing yesterday. I’m like dude. I’m so confused.
246 00:28:55.970 ⇒ 00:28:56.770 Robert Tseng: Yeah.
247 00:28:56.920 ⇒ 00:29:03.870 Robert Tseng: So I mean, I think you might have heard some of the chatter around that. It’s it’s not
248 00:29:03.990 ⇒ 00:29:12.279 Robert Tseng: inaccurate. It’s it’s just not the way that we’ve been viewing. Ltv, okay, that that is like the most. If you were talking about like
249 00:29:12.620 ⇒ 00:29:22.709 Robert Tseng: average Ltv of the customer in the past month over their impact. Yeah, it’s gonna be super low in. In some situations it’ll look super high in others, because it’s like.
250 00:29:23.020 ⇒ 00:29:34.630 Robert Tseng: you know, we didn’t pay anything to acquire new customers that they’re just still continuing to buy new products. Maybe that’s like a product transfer to something else that didn’t actually have an acquisition cost or something. So like it’s
251 00:29:34.950 ⇒ 00:29:42.010 Robert Tseng: it I get. I feel like it makes sense. It’s just not the same view that maybe you guys are used to looking at.
252 00:29:48.380 ⇒ 00:29:48.970 Josh: Yeah.
253 00:29:50.480 ⇒ 00:29:57.596 Robert Tseng: Okay. Anyway, we’re yeah. We’re gonna we’re gonna get some clarity around this. Okay? Well, thanks everyone. We’ll we’ll we’ll we’ll talk to slack.
254 00:29:58.200 ⇒ 00:29:59.100 Annie Yu: Yeah. Thanks.
255 00:29:59.100 ⇒ 00:29:59.540 Josh: Cool.
256 00:29:59.540 ⇒ 00:29:59.920 Robert Tseng: Okay.
257 00:29:59.920 ⇒ 00:30:00.260 Josh: Thanks.
258 00:30:00.260 ⇒ 00:30:00.960 Robert Tseng: Okay.