Meeting Title: DE-AE-AI Standup Date: 2025-12-04 Meeting participants: Clarence Stone, Mustafa Raja, Sezim Zhenishbekova, Casie Aviles, Henry Zhao, Robert Tseng, Zoran Selinger, Amber Lin, Demilade Agboola, Uttam Kumaran
WEBVTT
1 00:15:22.110 ⇒ 00:15:23.330 Robert Tseng: Hello!
2 00:15:26.130 ⇒ 00:15:26.880 Mustafa Raja: H.
3 00:15:30.750 ⇒ 00:15:31.360 Sezim Zhenishbekova: Bye.
4 00:15:34.240 ⇒ 00:15:35.220 Robert Tseng: Hey, Seism.
5 00:15:36.050 ⇒ 00:15:37.709 Sezim Zhenishbekova: The goal was great!
6 00:15:38.080 ⇒ 00:15:40.919 Sezim Zhenishbekova: Right, a bit of a language barrier, but other.
7 00:15:40.920 ⇒ 00:15:41.560 Robert Tseng: Oh.
8 00:15:42.030 ⇒ 00:15:45.709 Robert Tseng: It was actually better, like, language is better than I thought it would be.
9 00:15:45.710 ⇒ 00:15:56.780 Sezim Zhenishbekova: To be honest, yeah, I was thinking that from people who grew up just running the business and not learning language for, like, schooling purposes, they were good.
10 00:15:57.170 ⇒ 00:15:57.620 Robert Tseng: Yeah.
11 00:15:58.740 ⇒ 00:16:03.639 Sezim Zhenishbekova: But yeah, and they were very interactive, that was great. Usually, they’re not.
12 00:16:03.640 ⇒ 00:16:06.449 Robert Tseng: Yeah, yeah, no, I’m glad, I think that went well.
13 00:16:10.350 ⇒ 00:16:11.510 Sezim Zhenishbekova: Hi, Henry.
14 00:16:13.540 ⇒ 00:16:14.450 Henry Zhao: Hi, Susan.
15 00:16:16.310 ⇒ 00:16:21.159 Sezim Zhenishbekova: Did you know that you can speak Russian and 9 other languages? That’s correct.
16 00:16:21.160 ⇒ 00:16:26.849 Robert Tseng: Yeah, yeah, Henry’s a polygot. I haven’t heard him, is he actually… does he actually speak Russian with you?
17 00:16:26.850 ⇒ 00:16:28.210 Sezim Zhenishbekova: Yeah, he did.
18 00:16:28.570 ⇒ 00:16:37.320 Robert Tseng: Oh, yeah, my Russian has definitely regressed. I haven’t really, like, spoken much in, like, the past few years.
19 00:16:39.650 ⇒ 00:16:42.739 Sezim Zhenishbekova: But did you know? Like, did you take class… take classes?
20 00:16:42.740 ⇒ 00:16:48.600 Robert Tseng: I did take classes in university, especially when I was going to Kyrgyzstan every year.
21 00:16:49.050 ⇒ 00:16:55.390 Robert Tseng: But then afterwards, I haven’t really practiced much. I feel like I can understand a lot more than I can speak at this point.
22 00:16:56.320 ⇒ 00:16:57.120 Sezim Zhenishbekova: Yeah.
23 00:16:57.260 ⇒ 00:16:57.820 Robert Tseng: Yeah.
24 00:17:00.670 ⇒ 00:17:03.999 Sezim Zhenishbekova: That’s cool, the language is… The grammar is hard.
25 00:17:04.000 ⇒ 00:17:07.980 Robert Tseng: The grammar’s hard, yeah, but at least I can still read, so I think, I didn’t.
26 00:17:07.980 ⇒ 00:17:10.109 Sezim Zhenishbekova: That’s really cute, it’s nice.
27 00:17:10.530 ⇒ 00:17:11.130 Robert Tseng: Yeah.
28 00:17:12.190 ⇒ 00:17:14.799 Henry Zhao: Where do you live, Seism? Do you still live in Kyrgyzstan, or…
29 00:17:14.800 ⇒ 00:17:17.169 Sezim Zhenishbekova: No, I live in New York.
30 00:17:17.170 ⇒ 00:17:17.809 Henry Zhao: Oh yeah, that’s right.
31 00:17:17.810 ⇒ 00:17:19.909 Sezim Zhenishbekova: Or a couple years ago, yeah.
32 00:17:21.319 ⇒ 00:17:24.379 Sezim Zhenishbekova: But yeah, really want to go back sometime soon.
33 00:17:24.380 ⇒ 00:17:28.060 Henry Zhao: We should have a New York off-site in December, or, like, near the holidays.
34 00:17:28.190 ⇒ 00:17:30.429 Sezim Zhenishbekova: Christmases, and yeah…
35 00:17:30.430 ⇒ 00:17:30.960 Henry Zhao: Yeah.
36 00:17:30.960 ⇒ 00:17:32.199 Sezim Zhenishbekova: It’s gonna be busy.
37 00:17:33.340 ⇒ 00:17:34.589 Henry Zhao: So I’ll be there in 2 weeks.
38 00:17:35.360 ⇒ 00:17:40.630 Robert Tseng: Yeah, I’ll be out 18th to the 28th, but, kind of before and after that, I’ll be around.
39 00:17:40.970 ⇒ 00:17:45.819 Sezim Zhenishbekova: Yeah. I will be around here until 24th, and then I’m traveling to Michigan.
40 00:17:46.140 ⇒ 00:17:47.690 Robert Tseng: for children.
41 00:17:47.980 ⇒ 00:17:50.260 Robert Tseng: Okay, you’re going to… with your host family?
42 00:17:50.260 ⇒ 00:17:55.239 Sezim Zhenishbekova: Yeah, yeah, they’re like, come home, so, yeah. Okay. Gonna be fun.
43 00:17:56.670 ⇒ 00:17:57.720 Robert Tseng: It’s last.
44 00:17:58.140 ⇒ 00:18:01.319 Robert Tseng: Alright, well, I guess we have enough people, so I’m gonna get started here.
45 00:18:08.630 ⇒ 00:18:17.189 Robert Tseng: Share my screen… Okay, so let’s go through, I’ll start with Eden.
46 00:18:19.690 ⇒ 00:18:25.060 Robert Tseng: Yeah, I guess, Zoran, I saw some comments come through on your linear tickets. You want to kind of just chat through what…
47 00:18:25.420 ⇒ 00:18:28.000 Robert Tseng: What’s, what’s, any updates on your side?
48 00:18:28.000 ⇒ 00:18:35.030 Zoran Selinger: Yeah, sure, sure. So, we had that meeting yesterday, so just,
49 00:18:35.210 ⇒ 00:18:48.330 Zoran Selinger: let me go through… through my notes a little bit. So, I was… we were talking about, what they are currently using, and Stuart kind of shined a light on… on, you know.
50 00:18:48.460 ⇒ 00:19:05.460 Zoran Selinger: how they… how they use, NordBeam versus, Tableau, right? Yeah. So primarily for… for the whole, attribution… like, channel attribution, they are primarily going to use NordBeam, so it’s… it’s… it is very important.
51 00:19:05.560 ⇒ 00:19:10.010 Zoran Selinger: But for product-level analysis, it’s all table.
52 00:19:11.030 ⇒ 00:19:11.590 Robert Tseng: Okay.
53 00:19:11.760 ⇒ 00:19:19.170 Zoran Selinger: So that’s… that’s basically the answer there. So we need both… both, pieces. They…
54 00:19:19.170 ⇒ 00:19:36.570 Zoran Selinger: want us to finish the Norbin non-integrated channels, which is basically, right now, that just means we need to, import costs from primarily two places at the moment, and that’s from Affluence and from Catalyst.
55 00:19:37.130 ⇒ 00:19:38.600 Zoran Selinger: There’s a…
56 00:19:38.810 ⇒ 00:19:48.959 Zoran Selinger: Coast API, we need to figure out the imports next week. The reason why, why they want this before is…
57 00:19:50.400 ⇒ 00:19:55.320 Zoran Selinger: They are in a program to test dimension.
58 00:19:55.620 ⇒ 00:20:02.390 Zoran Selinger: And they have to start spending a credit of 30K before the end of the year.
59 00:20:03.550 ⇒ 00:20:08.150 Zoran Selinger: So they, they actually got a grant of, of, of 30K for…
60 00:20:08.280 ⇒ 00:20:18.470 Zoran Selinger: For… for testing, and Stuart just wants us to finish NordBeam, basically, before he starts with… starts with this.
61 00:20:18.850 ⇒ 00:20:25.600 Zoran Selinger: So there’s, like, there’s two models and, and two reverse ETL pieces next… for next week.
62 00:20:26.970 ⇒ 00:20:34.100 Zoran Selinger: Okay. Yeah. So that’s, that’s there. We just, okay, cool.
63 00:20:34.220 ⇒ 00:20:44.860 Zoran Selinger: And yeah, I was… we were talking about OKRs for Q1. They are… so this week and next week, they have their business strategy meetings.
64 00:20:44.880 ⇒ 00:20:56.160 Zoran Selinger: to agree for, basically, next year. Okay. So, we will have that conversation. I will send a separate meeting on the 5th… Monday 15th.
65 00:20:56.800 ⇒ 00:21:03.400 Zoran Selinger: So we can catch… we can talk specifically about that after they finished their…
66 00:21:03.520 ⇒ 00:21:05.920 Zoran Selinger: Their business strategy meetings.
67 00:21:06.320 ⇒ 00:21:08.869 Robert Tseng: Okay, I’d like to be on that call when you, when you, when you start.
68 00:21:08.870 ⇒ 00:21:27.379 Zoran Selinger: Sure, sure. So we initially said that we want to have a roadmap by… by mid-December, but since they have those conversations first, it’s going to be a week, week later. But yeah, but we’re going to have a really good idea then, exactly how… what it’s going to be.
69 00:21:27.730 ⇒ 00:21:31.099 Zoran Selinger: What we know so far, that,
70 00:21:31.380 ⇒ 00:21:38.219 Zoran Selinger: What’s gonna sit in that is going to be… Since we added much…
71 00:21:38.370 ⇒ 00:21:41.769 Zoran Selinger: Many more events of the intakes.
72 00:21:42.150 ⇒ 00:21:46.489 Zoran Selinger: Ryan really wants to do segmentation and personalization stuff.
73 00:21:46.780 ⇒ 00:21:54.399 Zoran Selinger: In Q1, so we have a lot more events, people going through the product.
74 00:21:56.460 ⇒ 00:22:09.550 Zoran Selinger: So that’s going to be a part of it. We want to improve our identity stitching with all those new identifiers in Q1, and that’s basically it for now. That’s what we know for sure.
75 00:22:10.050 ⇒ 00:22:29.380 Zoran Selinger: But yeah, new things will pop up after they finish those meetings. Today, I added a piece to the worker, where we are actually identifying organic traffic, so that ticket got created and completed today.
76 00:22:31.080 ⇒ 00:22:51.700 Zoran Selinger: So we, basically, we are identifying organic traffic now, and acting like it’s tagged with, you know, Google Organic. Like, UTM source equals Google, and UTM medium equals organic. So that’s basically how I’m saving it into our raw data tables.
77 00:22:52.770 ⇒ 00:22:53.210 Robert Tseng: Okay.
78 00:22:53.210 ⇒ 00:23:00.310 Zoran Selinger: That’s the idea there. So, yeah, so now we have visibility on organic. Previously, we were essentially ignoring it.
79 00:23:00.540 ⇒ 00:23:03.080 Zoran Selinger: Since it doesn’t have any, any UTM.
80 00:23:03.080 ⇒ 00:23:04.090 Robert Tseng: So this is done?
81 00:23:05.960 ⇒ 00:23:07.779 Zoran Selinger: Yes, this is done, yes.
82 00:23:07.780 ⇒ 00:23:08.400 Robert Tseng: Okay.
83 00:23:09.770 ⇒ 00:23:12.860 Zoran Selinger: So, yeah, so that’s it from me.
84 00:23:13.520 ⇒ 00:23:24.979 Robert Tseng: Okay. I just, added a couple more things. I mean, you don’t have to get to them this week, I’m not gonna assign deadlines to this, but this is just in conversations that came up yesterday. So, you know, we went over with Henry.
85 00:23:25.020 ⇒ 00:23:33.220 Robert Tseng: with some of the… like, anything marketing, we’re basically gonna move over to you. So, this idea of, like, lifecycle marketing.
86 00:23:33.220 ⇒ 00:23:46.119 Robert Tseng: I don’t really think… you were asking questions about MixedPanel and Customer I.O, that’s what the abbreviation here is. Yeah, I mean, we can meet to kind of talk about, like, how you can use that data to activate,
87 00:23:46.320 ⇒ 00:23:56.599 Robert Tseng: their campaigns, but basically the questions here that Henry came up with are these. And so, I mean, for now, it’s just kind of getting yourself familiar with, like, what
88 00:23:57.130 ⇒ 00:24:06.039 Robert Tseng: what data you’ll, you’ll need to, use to kind of work with Judd, and he’s… Judd is their lifecycle marketer,
89 00:24:06.170 ⇒ 00:24:16.309 Robert Tseng: You know, basically, they have, like, a bunch of customers that they’re not really… they don’t really have very sophisticated sequences for how they, reach out to them on, like.
90 00:24:16.350 ⇒ 00:24:31.519 Robert Tseng: customers that are dormant, and also, you know, customers that have an abandoned cart and didn’t go through checkout. So, that’s, you know, it’s a bit more downstream than the, kind of attribution work that you’ve been doing, but, you know, I think that’s just something that we’re gonna
91 00:24:31.520 ⇒ 00:24:39.709 Robert Tseng: we’ll kind of move your way as well. Okay. And then, this other question kind of came from, like, ELT, ELT asking.
92 00:24:39.740 ⇒ 00:24:49.300 Robert Tseng: like… How is the current identity stitching better than, you know, 3 months ago?
93 00:24:49.460 ⇒ 00:24:51.629 Robert Tseng: When we were just using…
94 00:24:52.160 ⇒ 00:25:06.649 Robert Tseng: using segment. So, right, we have custom models of BigQuery now, and so I think this is not… it’s not so much, like, I think it’s just kind of giving… having a point of view on that, so by Wednesday of next week, when we do the ELT check-in, we can be able to tell them.
95 00:25:06.660 ⇒ 00:25:14.079 Robert Tseng: Like, kind of how… how things are… I know that we’ve… you’ve added session stitching, like, it’s just kind of… this is more of just storytelling, like, what, like.
96 00:25:14.330 ⇒ 00:25:20.889 Robert Tseng: kind of… they don’t understand the magnitude of, like, what we did here. So, I think that’s… that’s the ask here.
97 00:25:20.890 ⇒ 00:25:21.790 Zoran Selinger: Cobb.
98 00:25:21.790 ⇒ 00:25:22.490 Robert Tseng: Okay.
99 00:25:22.820 ⇒ 00:25:25.779 Robert Tseng: Cool. Alright, let’s move to Henry then.
100 00:25:26.500 ⇒ 00:25:31.420 Henry Zhao: Yeah, so yesterday I kind of met with Ryan to kind of understand how
101 00:25:31.620 ⇒ 00:25:46.350 Henry Zhao: drugs and orders get delegated off to the pharmacies to allow me to start doing some of this analysis, and so we already have some ideas that I’m gonna start looking into today. Basically, this whole process is very manual. Like, Brad just basically looks at, kind of, the demand and where’s.
102 00:25:46.350 ⇒ 00:25:46.690 Robert Tseng: Yeah.
103 00:25:46.690 ⇒ 00:26:01.570 Henry Zhao: the orders are coming in from, and just, like, it’s, like, kind of manually being done in Basque right now. So, I’m definitely gonna just look at historical, like, were there times when the demand went up, and then the pharmacies, certain pharmacies were getting swamped, and kind of come up with a recommendation on how we can do this better.
104 00:26:02.120 ⇒ 00:26:19.449 Henry Zhao: But I think the challenge is going to be, how do I kind of insert myself, right? Because, like, Ryan and Brad kind of feel like they’re the owners of this, and so, yeah, just making recommendations based off of the data that we do have, even though what they really do want is, like, the COG stuff, which we need from BASC.
105 00:26:19.900 ⇒ 00:26:20.719 Henry Zhao: Yeah, so…
106 00:26:20.890 ⇒ 00:26:22.289 Robert Tseng: On that note, like…
107 00:26:23.190 ⇒ 00:26:38.320 Robert Tseng: They, they are responsible for making the operational decision on what pharmacy to route orders to, but I’m sure they’re not paying attention to, kind of, the trends, right? So, like, I think that’s kind of, like, how we can come alongside them.
108 00:26:38.320 ⇒ 00:26:43.430 Robert Tseng: We’re just trying to help them identify patterns. Although, I mean, I will say that
109 00:26:44.010 ⇒ 00:27:02.929 Robert Tseng: like, the pharmacy network has changed a lot this past year, and it’s changing again. I think the more valuable kind of thing to aim at is, like, once you understand where the bottlenecks are in kind of what pharmacies are… you know, we want to create, like, a performance matrix, right? Like, who are the top pharmacies, and then, like.
110 00:27:02.930 ⇒ 00:27:11.940 Robert Tseng: I mean, we already kind of have a lot of this data, but you’re, like, I think that’s what they need help thinking through. Like, when we… when we spin up Eden Pharmacy,
111 00:27:12.210 ⇒ 00:27:34.910 Robert Tseng: you know, and it’s fully operational, like, they’re expecting to route a lot of their orders to it, and, like, what, like, you know, what, like, what does it mean for it to even be fully operational? So, I think it’s, like, setting the benchmarks on the existing network, understanding what’s the best performing, underperforming ones, and then, like, you know, that sets the standard for, like, what the launch of Eden Pharmacy needs to be.
112 00:27:35.000 ⇒ 00:27:44.609 Robert Tseng: So I, you know, I think that’s… this is more of a longer-term kind of, like, initiative, like, that’s how I… how I see you could be helping them. Yeah. Yeah.
113 00:27:44.610 ⇒ 00:28:02.929 Henry Zhao: But also, I was able to get the raw file of, like, COGS by pharmacy, so I can marry… I’m thinking I can marry those two sources, and say, for example, in October, like, Eden Pharmacy was way over… like, too many orders were going there, so they missed SLA, and their COGS is higher than Enovex, which, like, didn’t, blah blah blah. So, like, something like that could be, like, a useful analysis.
114 00:28:02.950 ⇒ 00:28:14.549 Henry Zhao: And I told it was around this yesterday, but, like, when we were in the meeting with Eden, and they said they’re gonna plan their strategy, I think this next meeting for ELT should be something that we present that can at least give them guidance on planning strategy.
115 00:28:15.750 ⇒ 00:28:17.350 Henry Zhao: for SLA and stuff like that, so that’s…
116 00:28:17.350 ⇒ 00:28:25.950 Robert Tseng: Do you guys want to be in those calls? Like, you’re welcome to. I just… I don’t… I don’t want to join all of them, so I can… I can ask for you to be brought into those calls as well.
117 00:28:26.150 ⇒ 00:28:30.850 Henry Zhao: No, but I mean, it’s like, I think I got the aha moment, where it’s like, I think I know which direction to go now.
118 00:28:30.850 ⇒ 00:28:31.710 Robert Tseng: Okay.
119 00:28:31.710 ⇒ 00:28:43.479 Henry Zhao: But in addition to that, though, Robert, I think at some point you should present on all the things that we did in Mixpanel, because, like, I gave a Mixpanel office hours yesterday, and it was kind of cool to just see that we’re now able to quickly see
120 00:28:43.480 ⇒ 00:28:52.149 Henry Zhao: which UTMs are bringing in the best conversion rates, like, very easily, like, where the drop-offs are, and things like that. So I was working on a slide for that.
121 00:28:52.150 ⇒ 00:28:52.900 Robert Tseng: Was that recorded?
122 00:28:53.880 ⇒ 00:28:54.830 Henry Zhao: Probably cool.
123 00:28:54.830 ⇒ 00:28:55.680 Robert Tseng: attended that.
124 00:28:56.360 ⇒ 00:28:59.930 Henry Zhao: Only Stuart attended it, but, like, we kind of did a working session where we just…
125 00:28:59.930 ⇒ 00:29:00.300 Robert Tseng: Sure.
126 00:29:00.300 ⇒ 00:29:09.420 Henry Zhao: kind of… he was just like, what am I supposed to be looking at in Mixpanel? And we just walked through, like, analysis that you can do and how easy it is to use, and it kind of opened his eyes to, like, wow, this is actually pretty great.
127 00:29:09.850 ⇒ 00:29:18.800 Robert Tseng: Yeah, no, I mean, great. Like, I… I mean, we should be doing that, like, every other week or something, and, like, trying to get more and more people into it, so, yeah.
128 00:29:18.800 ⇒ 00:29:37.299 Henry Zhao: Like, the sample size is small right now, but initial… from initial looks, it looks like, and thanks to Casey’s analysis also, it looks like Catalyst is actually doing really well compared to the offer, and other marketing channels. The conversion rates are higher, cancellations and refunds are lower, so… like, that would be really good to present if we have, like, actual data on that.
129 00:29:38.870 ⇒ 00:29:40.980 Robert Tseng: I mean, you have activated either, how would you.
130 00:29:40.980 ⇒ 00:29:42.699 Henry Zhao: It’s small sample size, so I don’t feel comfortable.
131 00:29:42.700 ⇒ 00:29:43.050 Robert Tseng: Okay.
132 00:29:43.050 ⇒ 00:29:47.349 Henry Zhao: presenting it right now. Sure. But it’s, like, initial signs of, like, that’s really good.
133 00:29:48.240 ⇒ 00:29:48.860 Robert Tseng: Okay.
134 00:29:49.180 ⇒ 00:29:49.690 Henry Zhao: Yeah.
135 00:29:53.210 ⇒ 00:29:59.869 Robert Tseng: Alright, casey, is there anything to update on your end?
136 00:30:01.890 ⇒ 00:30:05.360 Casie Aviles: Pretty much, it’s just the reconciliation part.
137 00:30:05.360 ⇒ 00:30:07.150 Robert Tseng: Yeah, where we at with that?
138 00:30:08.170 ⇒ 00:30:11.310 Casie Aviles: Yeah, I was able to… Oh, okay.
139 00:30:11.310 ⇒ 00:30:17.489 Robert Tseng: Because this is, like, November, right? So this seems like something that should have… I mean, I know that you’re working through it, yeah.
140 00:30:17.490 ⇒ 00:30:23.630 Henry Zhao: So I just met with Mitesh, and he wants us to do this every month, so, Casey, I’m gonna send out a monthly invite on the second of the month.
141 00:30:23.740 ⇒ 00:30:29.419 Henry Zhao: Where Matthias is gonna tell you that it’s… the bill is ready, and so we’re just gonna do this every… every month.
142 00:30:30.280 ⇒ 00:30:30.900 Casie Aviles: Okay.
143 00:30:31.210 ⇒ 00:30:38.019 Henry Zhao: Same format, same file, you can just send it to Matthias, and he’ll, like, match it with the Catalyst bill, just to make sure that it’s…
144 00:30:38.590 ⇒ 00:30:40.100 Henry Zhao: Pretty much aligned.
145 00:30:40.600 ⇒ 00:30:55.480 Henry Zhao: And then Geron, I gave you some action items from that meeting as well. Basically, Mitesh wants to just understand why we can’t just send Catalysts the converted orders and not have the pending orders in the meantime, because I think that’s creating a lot of confusion for Catalysts.
146 00:30:55.760 ⇒ 00:30:56.570 Henry Zhao: Like, a lot of the…
147 00:30:56.570 ⇒ 00:30:59.419 Robert Tseng: I don’t think we can really filter it out, but yeah.
148 00:31:00.150 ⇒ 00:31:08.480 Henry Zhao: Yeah, he just wants an explanation. So, Zoran, if you can just add it to the Notion doc that I sent you, Mitesh already has access to it, he’s just gonna use that as a guide.
149 00:31:08.940 ⇒ 00:31:09.720 Robert Tseng: Okay.
150 00:31:09.720 ⇒ 00:31:18.719 Zoran Selinger: I’ll work on this. Sorry for missing that meeting. I wasn’t looking at my Eden email address at all.
151 00:31:19.030 ⇒ 00:31:28.900 Zoran Selinger: And I don’t have it in my brain first, so that’s why I missed it completely. I’m added to the… to that meeting now.
152 00:31:29.040 ⇒ 00:31:31.330 Zoran Selinger: I don’t know if that’s a recurring one.
153 00:31:32.440 ⇒ 00:31:36.209 Henry Zhao: It’s not, but yeah, that’s all we needed from you, and then Ryan will reach out to you about other things.
154 00:31:36.210 ⇒ 00:31:37.470 Zoran Selinger: Coco.
155 00:31:37.790 ⇒ 00:31:39.830 Robert Tseng: Okay, great. So Casey, this is done.
156 00:31:40.970 ⇒ 00:31:41.450 Henry Zhao: Understood.
157 00:31:41.600 ⇒ 00:31:42.220 Robert Tseng: Okay.
158 00:31:42.450 ⇒ 00:31:44.180 Henry Zhao: The internal review was just me reviewing it, and it’s done.
159 00:31:44.510 ⇒ 00:31:45.140 Robert Tseng: Yeah.
160 00:31:45.350 ⇒ 00:31:48.740 Robert Tseng: Alright, and then… is this the same thing?
161 00:31:49.630 ⇒ 00:31:54.839 Henry Zhao: Yeah, just Casey, if you can just add the, the, the cancel part, and then it’s done.
162 00:31:56.000 ⇒ 00:31:58.469 Casie Aviles: Alright, yeah, I haven’t really touched this yet.
163 00:31:58.920 ⇒ 00:31:59.510 Robert Tseng: No worries.
164 00:32:00.600 ⇒ 00:32:02.560 Robert Tseng: This is done.
165 00:32:04.260 ⇒ 00:32:07.390 Casie Aviles: Oh, I think this is different.
166 00:32:07.390 ⇒ 00:32:11.369 Henry Zhao: Yeah, this is done. I just wanted to give the proposal, but I’ll add that to my slides, so it’s fine.
167 00:32:11.550 ⇒ 00:32:12.030 Robert Tseng: Okay.
168 00:32:12.030 ⇒ 00:32:12.620 Casie Aviles: Oh, okay.
169 00:32:12.620 ⇒ 00:32:16.710 Robert Tseng: Like, this is already implemented, and this is up, right? So, like, this is done here.
170 00:32:17.610 ⇒ 00:32:26.110 Robert Tseng: Okay, yeah, alright. I remember we said this was not urgent, so I’m not gonna cover it.
171 00:32:26.370 ⇒ 00:32:28.310 Robert Tseng: Okay,
172 00:32:28.430 ⇒ 00:32:37.599 Robert Tseng: Yeah, I think that covers everything. I think I will just say… so I know, Sezim, you and Henry were meeting about finance, kind of… kind of call for… with,
173 00:32:38.010 ⇒ 00:32:54.799 Robert Tseng: Jonah on Monday. So, yeah, let me just understand. I guess I’m okay with you not going to me, but, like, where are we at? Like, I mean, I still want to meet… I still want us to meet with Jonah and get scope from him, so, like, yeah, I guess we’re… we’re… like, yeah, what’s… what… where are we at with things?
174 00:32:54.990 ⇒ 00:33:01.320 Henry Zhao: Yeah, so Seism, like I said, the only thing I really need from you, for sure, by the end of the week is just, like, additional recommendations or thoughts.
175 00:33:01.840 ⇒ 00:33:08.180 Henry Zhao: kind of your work you’ve done before in finance. So, we have a meeting after this. If you want to go over it during then, it’s fine.
176 00:33:08.360 ⇒ 00:33:10.440 Henry Zhao: We don’t need you to actually build a forecasting model yet.
177 00:33:10.440 ⇒ 00:33:22.289 Sezim Zhenishbekova: Yeah, yeah, because I was, like, I’m already, I checked all the data files and the connections, and I just got very overwhelmed, and decided that I need more time to give you, like, actionable…
178 00:33:22.450 ⇒ 00:33:31.410 Sezim Zhenishbekova: like, suggestions, that recommendations that actually make sense, but… but yeah, okay, I will do it by the end of the week, then. I would want to have more…
179 00:33:31.410 ⇒ 00:33:33.339 Henry Zhao: We’ll talk about it at our meeting later today.
180 00:33:33.340 ⇒ 00:33:34.440 Sezim Zhenishbekova: Okay, sounds good.
181 00:33:34.440 ⇒ 00:33:37.969 Robert Tseng: Yeah, I think sesame, it’s not… there’s not, like, a big…
182 00:33:37.970 ⇒ 00:33:50.329 Sezim Zhenishbekova: Sorry. Yeah, I just want to ask Henry, like, if he does these office hours with Adam, just to walk through, walk through, like, could you include me there, too, so I can shadow there, too? I want to hear…
183 00:33:50.330 ⇒ 00:33:52.159 Henry Zhao: Oh, the Mixpanel one?
184 00:33:52.160 ⇒ 00:33:52.980 Sezim Zhenishbekova: Yeah, yeah.
185 00:33:53.220 ⇒ 00:33:54.030 Henry Zhao: Yeah, sure.
186 00:33:55.210 ⇒ 00:33:56.670 Sezim Zhenishbekova: Okay, yes, Robert.
187 00:33:57.000 ⇒ 00:34:01.239 Robert Tseng: Yeah, so I mean, I guess just a couple logistical things,
188 00:34:01.290 ⇒ 00:34:19.829 Robert Tseng: yeah, obviously, we send messages in Slack, and then if you need to share analysis, we typically record a Loom, so if you need access to Loom or anything, you can ask Rico. Ricoh will help you, it’s just kind of… so we could do screen recordings and sharing, things like that. And then, you know, all of our meetings are recorded on Brainforce platform, so…
189 00:34:19.830 ⇒ 00:34:23.150 Robert Tseng: You should be able to reference anybody’s, like, meetings there.
190 00:34:24.330 ⇒ 00:34:40.730 Robert Tseng: Yeah, I would say, like, I understand, like, you’re… you’re still wrapping up, it’s only, like, week… end of week one, or kind of not even really one full week yet. So… yeah, I think with Jonah, I mean, I don’t expect us to put, like, you know, we’re not putting a new model in front of him. I think we’re just trying to, like.
191 00:34:41.190 ⇒ 00:34:48.679 Robert Tseng: you know, get organized around, like, this is what we have, like, what does he… what does he require? We’re gathering requirements. So, to me, it’s more of, like, a…
192 00:34:48.679 ⇒ 00:35:01.879 Robert Tseng: you know, getting enough context so you can go into that call as, like, a PM, and being able to, like, gather requirements from him. And then, obviously, with you and Henry together, we’ll pair on, like, how you want to split that up. I mean.
193 00:35:01.880 ⇒ 00:35:10.030 Robert Tseng: I think it’ll… you know, ultimately, like, I hope that you will kind of build and, like, own that… the deliverable, like, moving forward, but…
194 00:35:10.030 ⇒ 00:35:14.439 Robert Tseng: I, I, you know, I, I wouldn’t stress too much about it, like, I…
195 00:35:14.530 ⇒ 00:35:21.919 Robert Tseng: Yeah, you’re… yeah, but so I, I think it’s, it’s, you know, I think maybe there was some confusion on whether… what you needed to have done by Monday.
196 00:35:21.920 ⇒ 00:35:23.610 Sezim Zhenishbekova: Okay, got it now.
197 00:35:24.160 ⇒ 00:35:30.459 Robert Tseng: Okay, and then for insomnia, we’ll get to that, but I think there is, like, an actual deliverable there, and we can… we’ll talk about that more.
198 00:35:30.630 ⇒ 00:35:31.380 Robert Tseng: Okay.
199 00:35:31.610 ⇒ 00:35:36.030 Robert Tseng: Cool. Anything else on Eden? Otherwise, I feel good about it.
200 00:35:36.410 ⇒ 00:35:39.480 Henry Zhao: So when are you presenting to ELT next? Is it next week, or two weeks from now?
201 00:35:39.730 ⇒ 00:35:56.750 Robert Tseng: Yeah, so I actually kind of messed that up. It was actually yesterday, so, I mean, I think, like, the timing just got offset, like, it’s bi-weekly, but I kind of got confused because of the whole Thanksgiving thing. I think our deck timing is actually off. I was going off of our decks, because, like.
202 00:35:56.750 ⇒ 00:36:00.400 Robert Tseng: The last one we sent was last week, so I assumed that it would be next week.
203 00:36:00.470 ⇒ 00:36:10.549 Robert Tseng: But we sent it out, I didn’t present on it last week, so I ended up just referencing, the previous week. Which, actually, I think this is fine, so I still think the deck should be updated by next Wednesday.
204 00:36:10.550 ⇒ 00:36:21.340 Robert Tseng: I mean, I am pretty much talking to them, like, multiple times a week, because we’re pushing a lot on Remo, and so I don’t mind, like, I can just keep talking as we have things, but…
205 00:36:21.340 ⇒ 00:36:34.869 Robert Tseng: For the purposes of the, like, the newest deck that I already… I saw that you already started making changes to, I think target is still to have it done by Tuesday, so we could do internal deck review by Wednesday. So, I have that hold on the calendar, yeah.
206 00:36:35.520 ⇒ 00:36:41.279 Henry Zhao: Yeah, I think it’ll be good for me to also just keep you up to date on what’s going on every Tuesday at our 101, so you’re always prepared on, like, what’s going on.
207 00:36:41.540 ⇒ 00:36:43.750 Robert Tseng: Yeah, yeah, that would be great.
208 00:36:44.080 ⇒ 00:36:49.799 Henry Zhao: I think the way yesterday was, like, we did a lot of work and analysis, but I just… it wasn’t communicated, so you maybe didn’t even know, yeah.
209 00:36:50.470 ⇒ 00:36:55.559 Robert Tseng: Yeah, I didn’t share anything about Mixpanel, unfortunately, because I didn’t have, knowledge about it.
210 00:36:55.800 ⇒ 00:37:02.739 Henry Zhao: Yeah, and there’s also the analysis for Mitesh on, like, return orders, and our orders getting put on hold, and things like that, so yeah, we are doing a lot of analysis already.
211 00:37:03.790 ⇒ 00:37:15.550 Robert Tseng: Yeah, I think this is less about, like, sharing everything with ELT, like, they only want to know the stuff that’s, like, really moving the needle, or we’re stuck, right? So, like, the Pharmatica situation, I shared about with them. And, you know, I…
212 00:37:15.660 ⇒ 00:37:23.269 Robert Tseng: we’re… I’m still… I think they’re on… we’re on the same page. We’re not paying for API access. They’re… they’re going to… they should be giving us,
213 00:37:23.280 ⇒ 00:37:37.560 Robert Tseng: they should be giving it to us. So, like, you know, I think anything where there’s a blocker, that’s fine to bring up. Like, anything that needs… needs them to kind of push… push something from the top down, like, I think that’s… that’s… that’s important. But things like…
214 00:37:38.250 ⇒ 00:37:47.379 Robert Tseng: you know, session stitching, switching from transaction to session stitching, like, I don’t really think they care about that, like, they don’t really know what it means anyway. So,
215 00:37:47.380 ⇒ 00:37:47.779 Henry Zhao: Right, yeah.
216 00:37:47.780 ⇒ 00:37:52.939 Robert Tseng: Yeah, you’re just kind of… just… you’re just practicing, like, trying to…
217 00:37:52.940 ⇒ 00:38:10.290 Robert Tseng: take the most important things that you would present to the C-suite, because they take our slides, and they screenshot it, and they send it to their board. So, that’s why the quality of the slides needs to be good, and, like, when I was doing these deck reviews every month with them, I mean, I don’t meet with their board anymore, but, like, you know, this is, like…
218 00:38:10.290 ⇒ 00:38:21.970 Robert Tseng: like, they do use… they are one of the few clients that actually uses our decks and shares them everywhere. So, it is, like, a very important exercise. It’s not just a formality.
219 00:38:22.090 ⇒ 00:38:34.550 Henry Zhao: Yeah, but basically what I’m trying to get at is just to clarify from yesterday, is, like, it’s not that we don’t think we can do an analysis by Wednesday, it’s just that we want to make sure that it’s something that’s useful enough that ELT would care about, and could share to the board, you know what I mean? So… but that’s what we’re working on now.
220 00:38:34.960 ⇒ 00:38:36.310 Robert Tseng: Yeah. Okay.
221 00:38:37.170 ⇒ 00:38:41.570 Robert Tseng: Alright, let’s, let’s move down to insomnia.
222 00:38:41.570 ⇒ 00:38:41.950 Demilade Agboola: question.
223 00:38:41.950 ⇒ 00:38:44.380 Robert Tseng: Can I have… Sorry, go ahead.
224 00:38:44.770 ⇒ 00:38:49.299 Demilade Agboola: Yeah, so I know, Henry, we have a call with Brad tomorrow for, like, the telehealth stuff.
225 00:38:49.580 ⇒ 00:38:49.930 Henry Zhao: Yeah.
226 00:38:49.930 ⇒ 00:38:57.690 Demilade Agboola: Do we have any feedback for him on, like, the, like, the dashboard, like, the Excel to Tableau stuff that he wanted?
227 00:39:01.570 ⇒ 00:39:05.380 Henry Zhao: I don’t even know if we’re meeting tomorrow, because I have a meeting with Rebecca at that same time.
228 00:39:06.350 ⇒ 00:39:08.370 Henry Zhao: But I can follow up with you offline on that.
229 00:39:08.660 ⇒ 00:39:12.769 Henry Zhao: I’ll check with Brad. I’ll check with Brad on what he wants to talk about.
230 00:39:13.300 ⇒ 00:39:14.950 Robert Tseng: Where’s Brad based, by the way?
231 00:39:15.670 ⇒ 00:39:17.290 Henry Zhao: I think Colorado or something like that.
232 00:39:17.430 ⇒ 00:39:19.940 Robert Tseng: Okay, alright, just… just… just wondering.
233 00:39:20.620 ⇒ 00:39:30.199 Robert Tseng: Alright, let’s, move to insomnia. Alright, so, yeah, thank you for, yeah, the readout, Amber, super helpful. So, I think just context for the team.
234 00:39:30.300 ⇒ 00:39:37.500 Robert Tseng: Yeah, I mean, Zoran, proposals out, they’re reviewing it, so I should hear back from Eliza. I’m gonna follow up with her again today.
235 00:39:37.550 ⇒ 00:39:45.200 Robert Tseng: But yeah, it seems like there’s a couple people in the running who are interested in, like, kind of basically taking over as our main… main stakeholder.
236 00:39:45.240 ⇒ 00:40:03.549 Robert Tseng: So, VP of Digital, who we spoke with, Eliza, on Monday, actually, she… then she kind of shared about what we do with the Chief of Staff, who’s basically the interim CMO at this point. She has a marketing background, and so I shared a couple of Amber’s analyses with her, and I have an hour booked with her early next week.
237 00:40:03.610 ⇒ 00:40:16.989 Robert Tseng: So we’re basically gonna just kind of catch her up on everything, and, yeah, I mean, it’s on me to find… find the next, leader to… to kind of go under. And then also the CEO. I have a… I have a call scheduled with him next week as well, so…
238 00:40:16.990 ⇒ 00:40:26.489 Robert Tseng: I don’t… I don’t really think he’ll end up being the primary stakeholder, but, like, I think he’s open to having the conversation on, like, what working with us looks like beyond December.
239 00:40:26.640 ⇒ 00:40:41.420 Robert Tseng: Other than that, I know, like, we’re not really actively keeping anything going, except for, kind of, the daily impact scorecard. And so, Sezhen, this is kind of where, like, your work of, like, redesigning, kind of, the scorecard that we walked through last week.
240 00:40:41.440 ⇒ 00:40:56.269 Robert Tseng: deadline is today, but, you know, if we can have it this week, I think that would be great for me to bring that, you know, so we can actually organize around making those changes next week. Yeah, I guess, how do you… how do you feel about where you’re at with this?
241 00:40:56.270 ⇒ 00:41:07.289 Sezim Zhenishbekova: Yes, I just left a comment. It took me some time to understand all the progresses and how everything is calculated, and how much time it takes to, gather all the data.
242 00:41:07.290 ⇒ 00:41:20.709 Sezim Zhenishbekova: the instructions are very helpful. So, at the beginning, I thought I will be fine doing it in Google Sheets, but ended up going back to the SharePoint due to a lot of existing data dependencies.
243 00:41:20.850 ⇒ 00:41:33.950 Sezim Zhenishbekova: and linked preferences. So… and I have a big question about creating, like, I created two dashboard versions, one which is more in timesheet-style format, very query-friendly, and.
244 00:41:33.950 ⇒ 00:41:35.609 Robert Tseng: You want me to open these, or…
245 00:41:35.610 ⇒ 00:41:43.430 Sezim Zhenishbekova: Yeah, please. Okay. And then the first version is more visually appealing and optimized for stakeholders, but with some trade-offs.
246 00:41:45.060 ⇒ 00:41:48.050 Robert Tseng: So this was the mapping that came with, and then, let me look at this.
247 00:41:48.050 ⇒ 00:41:51.119 Sezim Zhenishbekova: So, if you open the existing SharePoint.
248 00:41:51.120 ⇒ 00:41:51.550 Robert Tseng: Yep.
249 00:41:51.550 ⇒ 00:41:56.950 Sezim Zhenishbekova: And go to the sheet called Scorecard 2025 Version 1.
250 00:41:58.930 ⇒ 00:42:01.390 Sezim Zhenishbekova: Yeah, it’s the other end.
251 00:42:04.280 ⇒ 00:42:07.510 Robert Tseng: I… okay, didn’t have too much going on here.
252 00:42:07.940 ⇒ 00:42:09.340 Robert Tseng: How do I even get there?
253 00:42:11.450 ⇒ 00:42:24.259 Sezim Zhenishbekova: So yeah, while, like, building all those queries, I spent time, like, reversing the engineering to see how the process would work, so it took me some time to create more reliable, like.
254 00:42:24.330 ⇒ 00:42:31.479 Sezim Zhenishbekova: functions, and I have some technical questions that I dropped. There are two of them, and when you have time, it would be cool if you could
255 00:42:32.060 ⇒ 00:42:32.620 Sezim Zhenishbekova: Oh, here.
256 00:42:32.620 ⇒ 00:42:33.220 Robert Tseng: There it is, okay.
257 00:42:33.220 ⇒ 00:42:45.200 Sezim Zhenishbekova: Yeah. So, basically, this is one of the versions which is super friendly. It has categories, and under categories, it’s all the breakdowns and the impact scorecard, I brought it up.
258 00:42:45.420 ⇒ 00:42:57.820 Sezim Zhenishbekova: Yep. I think it’s more user-friendly. And then the other sheet, sheet number 2, is more, like, timesheet series, which is way better for the queries. I didn’t completely, like.
259 00:42:57.980 ⇒ 00:43:05.369 Sezim Zhenishbekova: Rationalize the fact that promos change every quarter. Like, they have different names.
260 00:43:05.870 ⇒ 00:43:06.740 Sezim Zhenishbekova: And that might.
261 00:43:06.740 ⇒ 00:43:07.820 Robert Tseng: Yeah, yeah, sure.
262 00:43:07.820 ⇒ 00:43:21.680 Sezim Zhenishbekova: with such, sheets and series, so we have to create additional data points, but I could found… I found out, like, way around with the user-friendly version, version number one.
263 00:43:21.770 ⇒ 00:43:31.619 Sezim Zhenishbekova: Pages, naming… creating a different… just naming everything promo code 1, 2, 3, and then, assigning the name
264 00:43:31.770 ⇒ 00:43:34.189 Sezim Zhenishbekova: On the date sheet.
265 00:43:35.320 ⇒ 00:43:39.640 Robert Tseng: Yeah, I see. Okay, so… and this was already here, right? So…
266 00:43:39.640 ⇒ 00:43:46.110 Sezim Zhenishbekova: Yeah, yeah, so it basically runs the query, and corresponds by automatically assigning it.
267 00:43:46.670 ⇒ 00:43:54.799 Robert Tseng: Yeah, I’ll give… I’ll give you feedback on this. I think there’s certain… there’s a few, few, like, things off the top, like, yeah, promos, I understand, like, they… they changed them, I mean…
268 00:43:55.370 ⇒ 00:44:00.279 Robert Tseng: I think there’s probably more than just, like, 4 here. So, like, I…
269 00:44:00.470 ⇒ 00:44:03.470 Robert Tseng: But I see what you’re… I see what you’re doing,
270 00:44:03.650 ⇒ 00:44:05.690 Robert Tseng: Yeah, there’s… there’s a whole, like…
271 00:44:06.060 ⇒ 00:44:09.639 Robert Tseng: set of promos… okay, so anyway, we can talk through, like.
272 00:44:09.640 ⇒ 00:44:24.189 Sezim Zhenishbekova: some time to optimize the structure itself, because, like, once this is approved and we approve, like, the executive summary should be much easier, where we have charts and, like, reports as a separate sheet that I see as of now.
273 00:44:24.190 ⇒ 00:44:41.329 Robert Tseng: Yeah, yeah, no, I think this is definitely more on the right track than what they currently have. So, obviously, this is a daily view, we want to be able to roll this up weekly, monthly. Okay, great. Now, I think this is… yeah, this is enough for us to review. Yeah, so I’ll look through your ticket in more detail, and then I’ll probably give you some… some feedback here. Okay.
274 00:44:41.630 ⇒ 00:44:42.500 Robert Tseng: Great.
275 00:44:42.990 ⇒ 00:44:49.199 Robert Tseng: Okay, so I’m gonna move this to internal review.
276 00:44:49.790 ⇒ 00:44:56.760 Robert Tseng: Yeah, and then, I guess, Amber, one more thing here is just, you know, we…
277 00:44:57.560 ⇒ 00:44:59.750 Robert Tseng: I was saying that maybe you could kind of…
278 00:45:00.010 ⇒ 00:45:05.319 Robert Tseng: outline what you think the next analysis that you can work on for insomnia is? Yeah. Did you get a chance to do that? Yeah.
279 00:45:05.320 ⇒ 00:45:21.910 Amber Lin: I actually started that yesterday. I need to… I want to write it up so that you can read it, because right now there’s a lot of brainstorming, so I’m gonna clean it up, and then I’ll probably ask for a review midday. I also started on the overall strategy deck.
280 00:45:21.910 ⇒ 00:45:25.680 Amber Lin: I sent the outline in the Slack channel.
281 00:45:25.860 ⇒ 00:45:33.030 Amber Lin: So if that’s good, I’ll, I’ll dive deeper into the specific OKRs, and then make that slide, too.
282 00:45:33.380 ⇒ 00:45:46.669 Robert Tseng: Yeah, you’ve seen, like, my roadmap, doc, and this, right? Okay, so I don’t know if this is helpful for you as you’re thinking through, but if you need ideas on what to pursue, I would say, like, you know, I kind of built this out already, there’s really just
283 00:45:47.000 ⇒ 00:45:49.390 Robert Tseng: like, 4 areas I think we can kind of tackle.
284 00:45:50.210 ⇒ 00:45:55.410 Amber Lin: Yeah, I was just… I read this, like, early this week.
285 00:45:55.410 ⇒ 00:45:59.780 Robert Tseng: Okay, great. Were we still waiting on Matt for… Anything?
286 00:46:00.310 ⇒ 00:46:10.330 Robert Tseng: I still think that we haven’t really touched punch data, which seems like, I don’t know, like, rewards, I feel like, is within our… we can’t do something with that, right? So…
287 00:46:10.630 ⇒ 00:46:15.450 Amber Lin: Yeah, good point. He has not got back to us on the FDA stuff.
288 00:46:15.450 ⇒ 00:46:15.850 Robert Tseng: Okay.
289 00:46:15.850 ⇒ 00:46:27.050 Amber Lin: we… I was planning to, once we do that analysis for him, then talk about Punch with him, but… Okay. Because we didn’t really get time for that, but that could be a good next step.
290 00:46:27.640 ⇒ 00:46:37.260 Robert Tseng: Yeah, I’m not too worried, so he says he’ll give something to us. If not, then, okay, we should just… can we just bump him up? Are you in the channel? Can you bump him on this?
291 00:46:37.260 ⇒ 00:46:41.240 Amber Lin: Yeah, I pumped him this Monday, so I’ll ask again.
292 00:46:41.240 ⇒ 00:46:43.309 Robert Tseng: Let’s just do it. Do it again. Yeah.
293 00:46:44.440 ⇒ 00:46:45.270 Robert Tseng: Okay.
294 00:46:45.610 ⇒ 00:46:49.440 Robert Tseng: Yeah, I mean, I feel like they’re just… yeah, they’re… they’re probably just…
295 00:46:50.070 ⇒ 00:46:54.310 Robert Tseng: They don’t… they don’t really know what they’re doing, so… Yeah.
296 00:46:55.200 ⇒ 00:47:03.700 Robert Tseng: Okay, oh, that’s weird. My screen share looks like it’s got a weird, like, tail here.
297 00:47:04.270 ⇒ 00:47:07.380 Robert Tseng: Alright, I think that’s it for Insomnia. I’m gonna…
298 00:47:07.550 ⇒ 00:47:16.269 Robert Tseng: move on to Honey Stinger, since we have a call with Byron and their new econ manager tomorrow, which would be great, because it seems like
299 00:47:16.520 ⇒ 00:47:28.230 Robert Tseng: Byron’s, like, kind of one level removed, and so this… it seems like this guy… I forgot his name, is it Danny or something? Daniel is, yeah, I mean, I think being able to…
300 00:47:29.110 ⇒ 00:47:37.789 Robert Tseng: catch them up to speed on everything that we’ve learned about, kind of, the different digital, like, e-com marketplaces will probably be… that’s what I’m expecting the call to be.
301 00:47:37.790 ⇒ 00:47:38.910 Amber Lin: Tomorrow.
302 00:47:40.180 ⇒ 00:47:50.150 Robert Tseng: Yeah, I mean, we already showed the analysis, we’ll get some feedback from them, but anything else outstanding that we are working on around Acosta specifically, like, leading up to tomorrow’s call?
303 00:47:51.890 ⇒ 00:47:54.680 Amber Lin: Is that data in there already?
304 00:47:54.680 ⇒ 00:47:55.749 Robert Tseng: I saw some movement.
305 00:47:55.750 ⇒ 00:47:56.450 Amber Lin: Yeah.
306 00:47:56.450 ⇒ 00:47:58.680 Henry Zhao: Yeah, Mustafa just put it in, so…
307 00:47:58.680 ⇒ 00:47:59.570 Amber Lin: Okay, awesome.
308 00:47:59.570 ⇒ 00:48:03.589 Henry Zhao: If you need work, we can schedule a meeting later today, maybe, to go over that data.
309 00:48:04.490 ⇒ 00:48:07.190 Amber Lin: Okay, that’s very helpful.
310 00:48:07.340 ⇒ 00:48:08.709 Amber Lin: I don’t.
311 00:48:08.890 ⇒ 00:48:13.400 Robert Tseng: I still think this is top of mind for… for Byron, so I’m just gonna… you know.
312 00:48:14.160 ⇒ 00:48:22.760 Robert Tseng: Where… this is not, like… There’s not, like, a huge deliverable here, but, like, at least…
313 00:48:23.240 ⇒ 00:48:32.739 Robert Tseng: It’s basically, like, figure out… what we have in Acosta data to… that can inform a demand.
314 00:48:33.820 ⇒ 00:48:34.680 Robert Tseng: plan.
315 00:48:34.970 ⇒ 00:48:36.070 Robert Tseng: Yeah.
316 00:48:36.070 ⇒ 00:48:42.639 Henry Zhao: Remember, we have… I think we have ad spend now, so we can build those… that ROAS curve, as well as, like, maybe do a…
317 00:48:42.920 ⇒ 00:48:46.509 Henry Zhao: Equation where, if it’s this much ad spend, there might be this much demand.
318 00:48:50.750 ⇒ 00:48:51.300 Robert Tseng: Okay.
319 00:48:51.540 ⇒ 00:48:52.789 Amber Lin: Okay, and then…
320 00:48:52.790 ⇒ 00:48:58.170 Uttam Kumaran: One… I had one question there. Amber, what… do you know… do you have a list of the tables you’re using from Amazon, Amber?
321 00:48:58.460 ⇒ 00:49:11.269 Amber Lin: Yeah, I can… I can list that. For what, though? I’m using most of them. Not most of them. It’s also in that sheet that I sent you, Utem.
322 00:49:11.430 ⇒ 00:49:17.790 Uttam Kumaran: I just want to turn off some of the stuff on Fivetran so I can get a good estimate of the usage.
323 00:49:18.280 ⇒ 00:49:23.480 Uttam Kumaran: And then are you using the Shopify from Fivetran, or from Polytomic?
324 00:49:23.480 ⇒ 00:49:28.119 Amber Lin: From Fivetran. I asked Sam, he said to use Fivetran, so I’m using that.
325 00:49:28.300 ⇒ 00:49:36.369 Uttam Kumaran: Okay, okay, great. And then on the infrastructure side, yeah, I send a message, I’d like them to sign up for MotherDuck and Polytomic.
326 00:49:36.590 ⇒ 00:49:41.330 Uttam Kumaran: Both… it should come out less than $1,000 a month, probably.
327 00:49:41.620 ⇒ 00:49:46.109 Uttam Kumaran: like, 500 a month. So I am asking Polyatomic for a quote.
328 00:49:46.290 ⇒ 00:49:51.350 Uttam Kumaran: I hope that she’s just like, yeah, sure, let’s go for it.
329 00:49:51.540 ⇒ 00:50:00.829 Robert Tseng: Yeah, if it’s not too much to… I mean, I don’t think we started data platform documentation for them. We don’t need to do the whole architecture diagram by tomorrow, but, like.
330 00:50:00.830 ⇒ 00:50:14.019 Robert Tseng: at least, you know, we basically asked Byron, hey, you need to pay now, like, we should tell him these are tools we’re using, these are the models that we already have, we’ve already, like, basically built. So, I just wanted to see, like, oh, wow, we already did a bunch of stuff here, like, so we should just pay for it.
331 00:50:14.020 ⇒ 00:50:16.880 Uttam Kumaran: Bray, can you, can you, assign this to,
332 00:50:17.230 ⇒ 00:50:20.500 Uttam Kumaran: Either… I mean, either Mustafa or Sam, basically.
333 00:50:20.500 ⇒ 00:50:21.859 Robert Tseng: Alright, I’ll put it to Sam.
334 00:50:21.860 ⇒ 00:50:23.960 Uttam Kumaran: Yeah, but he’ll be back on Monday, so he can take it.
335 00:50:24.890 ⇒ 00:50:27.609 Robert Tseng: Okay. Alright, well, we’ll see how the conversation goes with it.
336 00:50:27.610 ⇒ 00:50:28.030 Uttam Kumaran: Okay, okay.
337 00:50:28.030 ⇒ 00:50:29.030 Robert Tseng: Byron tomorrow, anyway.
338 00:50:29.160 ⇒ 00:50:33.970 Robert Tseng: Yeah, we can do it. Stifle…
339 00:50:41.650 ⇒ 00:50:44.870 Robert Tseng: Yeah, this is what I mean by, like, I go to the labels, and I’m like, I just guess.
340 00:50:44.870 ⇒ 00:50:46.609 Uttam Kumaran: I don’t know, dude, I…
341 00:50:47.790 ⇒ 00:50:48.570 Robert Tseng: Yeah, that’s okay.
342 00:50:48.570 ⇒ 00:50:51.949 Uttam Kumaran: I’m gonna figure that out with Gabe when I get some free time.
343 00:50:51.950 ⇒ 00:50:53.110 Robert Tseng: Okay.
344 00:50:53.320 ⇒ 00:50:54.050 Robert Tseng: Alright.
345 00:50:56.180 ⇒ 00:51:07.200 Amber Lin: Cool. On my side, there’s, it was a cross-channel analysis. I have the traffic, sales, and then I looked at conversion.
346 00:51:07.200 ⇒ 00:51:08.489 Robert Tseng: Just, like, all…
347 00:51:08.780 ⇒ 00:51:14.999 Amber Lin: Walmart, Shopify, and Amazon. So I’m… I have the…
348 00:51:15.650 ⇒ 00:51:28.079 Amber Lin: the data, the trends, so I’m trying to make conclusions by comparing them. I was also able to infer the actual Amazon sales from… they have a repeat customer table.
349 00:51:28.260 ⇒ 00:51:37.299 Amber Lin: and that dates back, that has the repeat customer’s revenue and how much percentage it takes up. I assume that’s the actual Amazon.
350 00:51:37.300 ⇒ 00:51:38.219 Robert Tseng: The Amazon model?
351 00:51:38.220 ⇒ 00:51:47.269 Amber Lin: sales? Yeah. So I assume that’s the actual sales. And so I mapped that out, and that was interesting.
352 00:51:48.670 ⇒ 00:51:49.360 Robert Tseng: Huh.
353 00:51:49.440 ⇒ 00:51:58.329 Amber Lin: Yeah. So if that’s the actual, like, the actual repeat customers on Amazon, then they can use that for, demand planning.
354 00:51:58.940 ⇒ 00:52:00.400 Robert Tseng: Yeah, yeah, definitely.
355 00:52:03.200 ⇒ 00:52:10.639 Robert Tseng: Okay, well, I think this one, identity stitching rules, I’m actually… I think this got blocked, so I’m just gonna move that out.
356 00:52:11.150 ⇒ 00:52:16.110 Robert Tseng: And, you know, I’m just gonna kick this to the next cycle.
357 00:52:19.890 ⇒ 00:52:28.119 Robert Tseng: And then… Are these all… like, this is done, so I’m gonna move that, this is done…
358 00:52:28.760 ⇒ 00:52:31.250 Robert Tseng: This is also done…
359 00:52:32.160 ⇒ 00:52:36.579 Robert Tseng: We already did this, alright, these are all done, so I’m just trying to clean it up, okay.
360 00:52:38.500 ⇒ 00:52:43.659 Robert Tseng: Yeah, Mustafa, are these models you’re working on
361 00:52:45.250 ⇒ 00:52:50.859 Robert Tseng: It’s just… Amber, it doesn’t even sound like you’re, like, meeting these, like…
362 00:52:50.980 ⇒ 00:52:56.190 Amber Lin: Not necessarily, I just… I use very simple drawings, and it’s enough for now.
363 00:52:56.600 ⇒ 00:53:03.669 Robert Tseng: Okay, so if this is not urgent, like, and I don’t really think Mustafo’s probably worked on it yet, so maybe we just kick it.
364 00:53:03.930 ⇒ 00:53:05.779 Robert Tseng: Okay, alright, let’s move it.
365 00:53:06.770 ⇒ 00:53:10.150 Robert Tseng: yeah.
366 00:53:10.460 ⇒ 00:53:12.590 Robert Tseng: Okay, I think this is enough for tomorrow’s.
367 00:53:16.500 ⇒ 00:53:21.300 Robert Tseng: Right. Anything else on this one?
368 00:53:23.890 ⇒ 00:53:28.850 Robert Tseng: No. Okay, great. Alright, so README, great. So we’re gonna be meeting README in, like.
369 00:53:29.700 ⇒ 00:53:31.919 Robert Tseng: like, an hour or something, so…
370 00:53:32.120 ⇒ 00:53:39.890 Robert Tseng: Yeah, Mustafa, I saw… I saw your feedback. Yeah, I think the dash looks good for the…
371 00:53:41.070 ⇒ 00:53:51.019 Robert Tseng: in-app, or the logged-in version of the paid plans, I guess the challenge you said was that, like.
372 00:53:51.850 ⇒ 00:54:01.169 Robert Tseng: You basically can’t find, like, how to do the events for… or, like, for the logged out version of the plan changes.
373 00:54:01.500 ⇒ 00:54:09.710 Robert Tseng: Sorry, it was like, I lost… lost this. So… yeah, so these two are done, and then…
374 00:54:10.050 ⇒ 00:54:17.479 Robert Tseng: Were those the only two that I had you do for today? I thought I had to do OAS as well.
375 00:54:18.600 ⇒ 00:54:19.230 Mustafa Raja: No, no, no.
376 00:54:19.230 ⇒ 00:54:21.230 Robert Tseng: 6865, right.
377 00:54:21.380 ⇒ 00:54:24.389 Mustafa Raja: Yeah, that’s for end of week.
378 00:54:24.960 ⇒ 00:54:28.970 Robert Tseng: Yeah, yeah, okay, yeah, but this by today, yeah, this would be for the two. Okay,
379 00:54:29.490 ⇒ 00:54:46.979 Robert Tseng: Yeah, I… I didn’t… I didn’t look too closely, but, I mean, I was just trying to think of another way for you to troubleshoot it yourself. Like, yes, I understand the amplitude extension doesn’t work. It’s… it’s a different subdomain, so they probably just didn’t track it, using the same, like, pixel or whatever.
380 00:54:47.200 ⇒ 00:54:54.730 Robert Tseng: And… But, like, maybe, you know, just like how we missed the… .
381 00:54:54.730 ⇒ 00:54:55.250 Mustafa Raja: Yeah.
382 00:54:55.930 ⇒ 00:55:02.259 Robert Tseng: other event, like, maybe it’s being sent server-side, which means that you would just need to, like.
383 00:55:02.630 ⇒ 00:55:03.160 Mustafa Raja: Yeah, I tried…
384 00:55:03.160 ⇒ 00:55:19.280 Robert Tseng: If you know your profile in Amplitude and you look at it, you can look at your own event stream. Like, that’s probably, like, the surefire way of figuring out, like, what events are being used. The Chrome extension is really just like a… it’s like a shortcut to doing that. Did you get… did you… did you… did you try that as well?
385 00:55:20.190 ⇒ 00:55:31.000 Mustafa Raja: I did not try that, but I tried, you know, searching, for plans in all of the events, and, I could only see managed plans, which would
386 00:55:31.360 ⇒ 00:55:34.020 Mustafa Raja: Before the Super Hub.
387 00:55:34.500 ⇒ 00:55:35.100 Robert Tseng: Yeah.
388 00:55:35.470 ⇒ 00:55:38.569 Mustafa Raja: If we just… if it’s just not there, I’ll bring it up in the.
389 00:55:38.570 ⇒ 00:55:49.759 Robert Tseng: I’ll say, like, hey, look, at least we have the logged-in version, the logged-out version is just, like, not being tracked. So, I mean, ideally, I just want us to be sure that that’s the case, because, but, yeah.
390 00:55:50.390 ⇒ 00:55:55.679 Mustafa Raja: Yeah, some documentation of events that they have would be nice also, if we could get that.
391 00:55:56.830 ⇒ 00:56:02.330 Robert Tseng: They… we maintain the documentation, so they do not have any additional documentation.
392 00:56:02.330 ⇒ 00:56:02.690 Mustafa Raja: Okay.
393 00:56:02.690 ⇒ 00:56:03.280 Robert Tseng: Yeah.
394 00:56:04.730 ⇒ 00:56:06.779 Uttam Kumaran: Greg, well, you should talk to Greg.
395 00:56:06.910 ⇒ 00:56:15.479 Uttam Kumaran: Greg should start today. Maybe Greg can help think about, like, what documentation… the standard documentation for… is this for just, like, taxonomy and events?
396 00:56:15.650 ⇒ 00:56:18.360 Robert Tseng: Yeah, well, we have one that started. It’s just like…
397 00:56:18.480 ⇒ 00:56:30.299 Robert Tseng: it’s weird when we’re not the ones that are implementing it. Like, we… like, we… I built that so that they could go and track the events, and then they’ve added stuff since then, they’re not updating it or whatever, they’re just…
398 00:56:30.530 ⇒ 00:56:39.370 Robert Tseng: Yeah, so, like, it’s… it’s kind of, like, it’s no longer in sync, like, it’s no longer updated, like, we don’t update it, like, they don’t update it, so it’s just kind of sitting there.
399 00:56:41.930 ⇒ 00:56:43.910 Robert Tseng: yeah.
400 00:56:44.180 ⇒ 00:56:48.539 Robert Tseng: But anyway, I think the call with Phoebe will be a lot more, kind of, she wants to know, like.
401 00:56:49.070 ⇒ 00:57:03.870 Robert Tseng: she just wants to discuss, like, how we’re measuring each experiment, so even if we don’t have all the reports built out, like, it’s fine. Like, I think it’ll be more kind of centered around the metrics. But yeah, once Greg is kind of onboarded onto this, like, I want to hand off as much of this to him as I can.
402 00:57:06.130 ⇒ 00:57:11.950 Robert Tseng: Yeah. But we do have enough, like, stuff that’s, like, kind of queued up for the next week. I just wanna.
403 00:57:11.950 ⇒ 00:57:14.710 Uttam Kumaran: When’s our contract with these guys up? End of this month?
404 00:57:14.710 ⇒ 00:57:15.730 Robert Tseng: Yeah, end of this month.
405 00:57:15.940 ⇒ 00:57:25.550 Robert Tseng: or we’re kind of just taking it month to month at this point. So, yeah, I mean, at this point, I don’t think there’s enough momentum to really push them to more, like, I just feel like they…
406 00:57:25.740 ⇒ 00:57:26.760 Robert Tseng: I mean, I’m hoping that…
407 00:57:26.760 ⇒ 00:57:34.670 Uttam Kumaran: a good goal for Greg is to, like, rip it this month, and then try to get them to 10K, and we can take on a lot more, you know?
408 00:57:34.670 ⇒ 00:57:36.240 Robert Tseng: Yeah, yeah.
409 00:57:37.620 ⇒ 00:57:47.530 Robert Tseng: I mean, they’ve just been so tight on, like, not giving us more access to things, like, we can’t even, you know, so, you know, we’re just…
410 00:57:48.410 ⇒ 00:57:50.220 Uttam Kumaran: You end up talking to the CEO?
411 00:57:51.660 ⇒ 00:57:55.340 Robert Tseng: Their… yeah, there, Greg. Yeah, I’ve met with him a couple times.
412 00:57:57.170 ⇒ 00:58:03.509 Robert Tseng: He doesn’t… he’s just, like, he’s just running the company off vibes, like, you know, he doesn’t use product analytics, he just…
413 00:58:03.810 ⇒ 00:58:06.589 Robert Tseng: He just does whatever he thinks he’s like…
414 00:58:06.590 ⇒ 00:58:12.699 Uttam Kumaran: I’m surprised, like, they’re debating 5 versus 10K for, like, insights into their customers, like.
415 00:58:12.980 ⇒ 00:58:18.369 Uttam Kumaran: who the fuck is making that decision? Like, it’s not… nobody… did someone go to Greg and be like.
416 00:58:18.700 ⇒ 00:58:22.810 Uttam Kumaran: Oh, 5K, like, dude, they have, like, an office on Market Street.
417 00:58:23.010 ⇒ 00:58:23.570 Robert Tseng: Yeah.
418 00:58:23.570 ⇒ 00:58:30.919 Uttam Kumaran: Like, I’m just… No, it’s not good for me. Maybe he’s the one who’s like, yeah, why aren’t we paying you guys more to do, like…
419 00:58:31.200 ⇒ 00:58:34.790 Uttam Kumaran: Like, I don’t know if Phoebe is really the right person to, like, own this, you know?
420 00:58:34.790 ⇒ 00:58:39.230 Robert Tseng: Yeah, yeah, I think she hasn’t been, like, the best champion for this.
421 00:58:39.600 ⇒ 00:58:42.359 Robert Tseng: Well, she’s like a… she’s like a growth ops person.
422 00:58:43.180 ⇒ 00:58:44.120 Uttam Kumaran: You know?
423 00:58:44.860 ⇒ 00:58:45.870 Robert Tseng: Yeah.
424 00:58:48.170 ⇒ 00:58:51.479 Uttam Kumaran: It’s sort of the classic where she’s, like, thinking about 5K,
425 00:58:51.660 ⇒ 00:58:54.689 Uttam Kumaran: And Greg may be like, dude, what are we even, like…
426 00:58:54.870 ⇒ 00:58:57.759 Uttam Kumaran: whatever. You know, because we see that often with our customers.
427 00:58:57.760 ⇒ 00:58:58.110 Robert Tseng: Oh.
428 00:58:58.110 ⇒ 00:59:03.780 Uttam Kumaran: With our customers, they’re like, Oh, if I can get all that, yeah, it was just like, whatever.
429 00:59:04.100 ⇒ 00:59:07.849 Uttam Kumaran: Yeah, yeah, maybe something to talk to… talk to our Greg about, but…
430 00:59:08.180 ⇒ 00:59:08.840 Robert Tseng: Yeah.
431 00:59:10.870 ⇒ 00:59:11.700 Robert Tseng: Okay.
432 00:59:12.180 ⇒ 00:59:20.340 Robert Tseng: Alright, well, I think that’s… that’s all I got, for now. Any… Anything else?
433 00:59:26.020 ⇒ 00:59:29.440 Robert Tseng: Okay, if not, then I think we can, we can wrap it up here.
434 00:59:32.410 ⇒ 00:59:34.129 Henry Zhao: Everyone, do you want to mute already?
435 00:59:34.300 ⇒ 00:59:36.040 Sezim Zhenishbekova: Perfect. Bye.
436 00:59:36.040 ⇒ 00:59:36.679 Robert Tseng: Thank you.
437 00:59:36.680 ⇒ 00:59:37.050 Henry Zhao: I guess.
438 00:59:37.050 ⇒ 00:59:37.660 Robert Tseng: But…