Meeting Title: Eden Team Detailed Standup Date: 2025-06-24 Meeting participants: Awaish Kumar, Robert Tseng, Fireflies.ai Notetaker Tigran, Annie Yu, Demilade Agboola
WEBVTT
1 00:00:57.810 ⇒ 00:00:58.830 Robert Tseng: Anyways.
2 00:00:59.320 ⇒ 00:01:03.815 Robert Tseng: I’m a bit early. I just I need the I need the minute to to catch up a bit, so I’ll I’ll
3 00:01:05.570 ⇒ 00:01:06.989 Robert Tseng: I’ll I’ll talk in a bit.
4 00:01:07.320 ⇒ 00:01:07.900 Awaish Kumar: Okay.
5 00:01:10.720 ⇒ 00:01:13.900 Robert Tseng: Really this active here?
6 00:04:01.430 ⇒ 00:04:03.402 Robert Tseng: Okay, hello, everyone.
7 00:04:06.790 ⇒ 00:04:08.139 Robert Tseng: How’s it going.
8 00:04:12.520 ⇒ 00:04:13.850 Awaish Kumar: Hmm, all good.
9 00:04:17.560 ⇒ 00:04:21.459 Robert Tseng: Great great here. Yeah, I don’t think anything is on.
10 00:04:22.210 ⇒ 00:04:31.411 Robert Tseng: Yeah, I don’t know. Just like not waking up with fires yesterday and today it’s kind of disorganic. So I think.
11 00:04:33.200 ⇒ 00:04:35.250 Robert Tseng: I don’t know it is. It’s
12 00:04:36.270 ⇒ 00:04:39.100 Robert Tseng: it’s it’s been a it’s been a good week so far. So
13 00:04:40.720 ⇒ 00:04:45.641 Robert Tseng: alright. Let’s let’s kind of go through just like a more detailed kind of stand up today. Then.
14 00:04:46.170 ⇒ 00:04:49.510 Robert Tseng: I will kind of share my screen, and then we’ll just kind of go into it.
15 00:04:52.320 ⇒ 00:04:53.010 Robert Tseng: So
16 00:04:53.700 ⇒ 00:05:03.599 Demilade Agboola: Before we start. Just wanted to. Quick point of that. It’s not exactly a fire, but I do know that. Adam pointed out one of the dashboards was not responding to.
17 00:05:03.600 ⇒ 00:05:04.330 Robert Tseng: Yeah.
18 00:05:08.690 ⇒ 00:05:10.059 Demilade Agboola: Has that been fixed.
19 00:05:10.990 ⇒ 00:05:15.590 Robert Tseng: I don’t think it’s been fixed. I was. Gonna have Danny take a look at that. So.
20 00:05:15.590 ⇒ 00:05:18.599 Demilade Agboola: Alright. I’m trying to bring visibility to it. That was on.
21 00:05:19.150 ⇒ 00:05:26.329 Robert Tseng: Yes, thank you. Appreciate the call out there. So I will also just tag her in it now so she can.
22 00:05:26.640 ⇒ 00:05:28.339 Robert Tseng: She knows what we’re talking about.
23 00:05:46.690 ⇒ 00:05:48.443 Robert Tseng: Okay? So
24 00:05:49.610 ⇒ 00:06:00.070 Robert Tseng: yeah, let’s just kind of go through things. Sorry I haven’t followed up with you on any of this, so I will probably send him like a big, long message after this call to get him to push on these things.
25 00:06:02.150 ⇒ 00:06:05.289 Robert Tseng: I would say. Seems like a tight form.
26 00:06:06.670 ⇒ 00:06:11.190 Robert Tseng: Oh, great! He’s been fielding our questions for us.
27 00:06:11.800 ⇒ 00:06:12.700 Robert Tseng: Love that.
28 00:06:14.010 ⇒ 00:06:21.010 Robert Tseng: And then yeah, on this front.
29 00:06:24.700 ⇒ 00:06:34.680 Robert Tseng: I suppose I could. Just this is this is, I’ll just. I’ll look through this later. I’m assuming that none of you are waiting on this. So we’ll just kind of skip that for now
30 00:06:34.880 ⇒ 00:06:38.020 Robert Tseng: on the internal review side. Let’s kind of talk about this.
31 00:06:40.420 ⇒ 00:06:44.050 Robert Tseng: Yeah, anything on the update with this model.
32 00:06:45.680 ⇒ 00:07:00.189 Demilade Agboola: To be honest, I also need to follow up on the call with Rebecca was sidetracked by the the PIN, like the request, or that request she had. So we kind of tackled that within the call. But I would schedule a call with her this week as well.
33 00:07:00.480 ⇒ 00:07:05.219 Robert Tseng: Do you have another call with her at one Pm. Eastern today that she was like asking for one?
34 00:07:05.600 ⇒ 00:07:10.020 Robert Tseng: Would you wanna jump on as well, and ask your question. Then.
35 00:07:11.451 ⇒ 00:07:15.679 Demilade Agboola: Sure, I don’t know how long the call is, and I don’t know what your agenda for the call is, though.
36 00:07:16.370 ⇒ 00:07:17.750 Robert Tseng: That’s okay. I will.
37 00:07:18.210 ⇒ 00:07:20.600 Robert Tseng: I think I can help.
38 00:07:20.810 ⇒ 00:07:26.950 Robert Tseng: I’ll just be like, Hey, I brought Dave a lot of to ask this one question first, st like, I’ll make sure you get your question asked.
39 00:07:27.430 ⇒ 00:07:28.490 Demilade Agboola: Okay. Alright. Sure.
40 00:07:28.490 ⇒ 00:07:30.010 Robert Tseng: Okay, alright.
41 00:07:30.540 ⇒ 00:07:33.490 Robert Tseng: So I’ll just add you to that.
42 00:07:35.770 ⇒ 00:07:41.020 Robert Tseng: Yeah, I know that she can sometimes go in a million different directions. So just gotta be very like
43 00:07:41.490 ⇒ 00:07:47.180 Robert Tseng: firm on like no, Rebecca, we’re gonna talk about this first, st and then we’ll talk about your thing so
44 00:07:47.764 ⇒ 00:07:50.680 Robert Tseng: hopefully. That’ll get your your question answered. There.
45 00:07:51.330 ⇒ 00:07:52.669 Demilade Agboola: Okay. Sounds good.
46 00:07:52.940 ⇒ 00:08:09.869 Robert Tseng: Okay, great circle. I saw a couple of things haven’t looked too detailed into this. I know that like people are asking for it now. So I would like to send an update or wish you know any thoughts on, you know. I guess there’s multiple tickets. We’ll just talk about it.
47 00:08:10.750 ⇒ 00:08:15.330 Awaish Kumar: So I just created a list of endpoints where we can get the
48 00:08:15.770 ⇒ 00:08:19.850 Awaish Kumar: like detailed information about community members and what they are doing.
49 00:08:20.260 ⇒ 00:08:21.400 Awaish Kumar: Yeah, but the
50 00:08:21.610 ⇒ 00:08:31.979 Awaish Kumar: exact requirements they need, like they just like the thing that they mentioned was they would just want to identify the circle members and non circle members and their Ltv.
51 00:08:32.100 ⇒ 00:08:38.070 Awaish Kumar: and basically the only way we can map it with user Id or email.
52 00:08:38.570 ⇒ 00:08:44.849 Awaish Kumar: we can’t map it to the specific orders so.
53 00:08:44.850 ⇒ 00:08:45.630 Robert Tseng: Okay.
54 00:08:46.550 ⇒ 00:08:55.990 Awaish Kumar: And I have identified that with using only single endpoint to get the list of community members, we get some information such as
55 00:08:57.070 ⇒ 00:09:02.540 Awaish Kumar: Like member, name, email, join date and the last scene, things like that.
56 00:09:02.710 ⇒ 00:09:05.350 Awaish Kumar: So with that, we can identify
57 00:09:05.800 ⇒ 00:09:14.320 Awaish Kumar: the circle members. And like, we can differentiate between circle and non circle members. And if they are still active, we can see like
58 00:09:14.590 ⇒ 00:09:21.480 Awaish Kumar: we can map there. Like the revenue to the circular TV, things like that.
59 00:09:22.640 ⇒ 00:09:27.869 Awaish Kumar: like, I think, using only that single endpoint, we can, at least
60 00:09:28.370 ⇒ 00:09:32.780 Awaish Kumar: build up, build a model which can satisfy their current requirements.
61 00:09:32.980 ⇒ 00:09:34.480 Awaish Kumar: I just asked Utam
62 00:09:34.630 ⇒ 00:09:41.980 Awaish Kumar: if I should write a script to get the data using that endpoint? Or should we ask polytomish for that?
63 00:09:42.800 ⇒ 00:09:47.039 Awaish Kumar: After that I can build a model basically.
64 00:09:47.040 ⇒ 00:09:47.770 Robert Tseng: Okay.
65 00:09:48.641 ⇒ 00:09:51.469 Robert Tseng: Yeah, I guess. My, I think.
66 00:09:57.120 ⇒ 00:10:02.597 Robert Tseng: Well, whatever I guess I’ll I’ll let you, Tom, speak to it. But my my opinion is
67 00:10:03.190 ⇒ 00:10:17.149 Robert Tseng: we? We shouldn’t ask polytomic to do it. If there’s a faster way for us to just hit the endpoint, get the data run this analysis 1st I’d rather do that, and then we can kind of have polytomic. Go do it in parallel if it becomes an ongoing thing.
68 00:10:17.280 ⇒ 00:10:18.529 Robert Tseng: because right now.
69 00:10:19.060 ⇒ 00:10:34.919 Robert Tseng: I guess, like Josh’s question is, gonna be like our circle community members, even bringing in higher revenue than non community members. And if the answer is no, then he’s just gonna turn off the tool like that’s so like it doesn’t really, until we can validate that.
70 00:10:35.210 ⇒ 00:10:52.109 Robert Tseng: And if there’s a way to validate that, even without doing this? I I think the answer is, no, because we need to bring this data in. We need to join on email like you said, we can’t actually look at orders, but we can at least maybe look at revenue for that lifetime revenue for that customer. I think that’s what we need to do to answer that question.
71 00:10:52.560 ⇒ 00:10:57.669 Robert Tseng: And I think whatever is the fastest way for us to get there is, is probably is
72 00:10:57.930 ⇒ 00:11:00.020 Robert Tseng: with is probably the best.
73 00:11:01.240 ⇒ 00:11:01.940 Awaish Kumar: Okay.
74 00:11:02.840 ⇒ 00:11:03.870 Robert Tseng: Yeah.
75 00:11:05.950 ⇒ 00:11:15.649 Awaish Kumar: The only thing is the only concern is that I can build that quickly. But the only problem thing is that we have to maintain that pipeline in our digester.
76 00:11:17.790 ⇒ 00:11:23.050 Awaish Kumar: like in our tool internal tool, and we are bearing the cost for that.
77 00:11:24.800 ⇒ 00:11:32.040 Robert Tseng: Yeah, I think, I guess. Like, how? How long do you think
78 00:11:32.560 ⇒ 00:11:44.979 Robert Tseng: we’d be able to put the the data and like Annie’s hands for her to go run that analysis like, I’m hoping if we can answer that question of like our community members like actually making more money, or, like, you know, spending more.
79 00:11:44.980 ⇒ 00:11:47.399 Robert Tseng: Hi, we can answer that question. Yeah.
80 00:11:47.710 ⇒ 00:11:49.470 Awaish Kumar: Like, if it is a 1 time
81 00:11:49.660 ⇒ 00:12:05.649 Awaish Kumar: push like one time pulling data, I can just run it script on my local machine and get all the data. But it it is. It’s a question of if we want to run it continuously to get the circle data again and again, like on a schedule, or it’s just one off.
82 00:12:06.580 ⇒ 00:12:07.270 Robert Tseng: Okay?
83 00:12:16.300 ⇒ 00:12:17.190 Robert Tseng: yeah.
84 00:12:27.980 ⇒ 00:12:34.070 Robert Tseng: okay, that’s on me. I will. I will take that. I’ll I’ll clarify with with them. Okay.
85 00:12:34.840 ⇒ 00:12:43.489 Robert Tseng: propose the one time data pull versus setting up recurring polls. And like, how?
86 00:12:46.010 ⇒ 00:12:53.549 Robert Tseng: Yeah, okay, that’s good to know. Yeah, I’ll I’ll get you an answer on this after this call.
87 00:12:56.090 ⇒ 00:13:08.599 Robert Tseng: Yeah, I I don’t know. I think I would want that confirmation that I still think that we should just do the one time, poll and just answer the question before we even throw any more resources into this. But I will. I’ll verify with them.
88 00:13:09.800 ⇒ 00:13:16.260 Robert Tseng: Okay. So the platform documentation, I think. I mean, I did put this as kind of like a
89 00:13:16.930 ⇒ 00:13:22.212 Robert Tseng: well, we we did have some documents. I don’t know if you guys have been looking at these things.
90 00:13:24.520 ⇒ 00:13:31.440 Robert Tseng: the even channel. You know, I kind of shared the.
91 00:13:31.610 ⇒ 00:13:34.049 Robert Tseng: This is not necessarily that helpful.
92 00:13:34.360 ⇒ 00:13:36.039 Robert Tseng: And then that code red thing.
93 00:13:36.440 ⇒ 00:13:38.339 Robert Tseng: Okay. I’m just gonna assume that.
94 00:13:42.460 ⇒ 00:13:48.079 Demilade Agboola: Yeah, for this on the model descriptions. So
95 00:13:49.070 ⇒ 00:13:55.509 Demilade Agboola: the like. I talked to a wish, a wish gave me bits, some context, and just like things like
96 00:13:56.021 ⇒ 00:14:01.160 Demilade Agboola: the primary key, or the combination of columns that make up the primary key. And like
97 00:14:01.550 ⇒ 00:14:07.750 Demilade Agboola: also way, it’s being used so like the the dashboard that’s being used in, and all that.
98 00:14:08.340 ⇒ 00:14:13.910 Robert Tseng: Okay, I can close this out if we if we feel like we’ve, we’ve actually actioned this. So.
99 00:14:19.270 ⇒ 00:14:20.480 Demilade Agboola: Sure, yeah.
100 00:14:21.160 ⇒ 00:14:21.820 Robert Tseng: Okay.
101 00:14:24.920 ⇒ 00:14:39.759 Robert Tseng: well, I mean, that documentation is, you know, I it’s not the clients that we’re gonna review it. It’s really for us like, is it actually gonna help us like, I’m kind of putting it on, you guys like, if you feel like it’s in a place where it’s gonna help you avoid, you know situation that happened last week. Then
102 00:14:39.890 ⇒ 00:14:51.408 Robert Tseng: I I would consider that done. If if not, then well, the same problem is gonna surface up later again. And I’m gonna you know, we’ll we’ll see what happens. So I don’t. I don’t really have
103 00:14:52.500 ⇒ 00:14:57.179 Robert Tseng: I I think it’s it’s more for for your benefit than it is for for the clients.
104 00:14:59.910 ⇒ 00:15:00.700 Demilade Agboola: Fair enough.
105 00:15:01.270 ⇒ 00:15:01.880 Robert Tseng: Yeah.
106 00:15:02.490 ⇒ 00:15:10.109 Robert Tseng: Okay, so this one, we say, we’re testing this. Yeah, Annie, this is the channel sales. Summary kind of like
107 00:15:10.240 ⇒ 00:15:21.140 Robert Tseng: passing thing. We talked about pushing a change that away should make yesterday, and then we were gonna update something. Where are we at now? Seems like we’re slightly off, but it should be much better.
108 00:15:22.283 ⇒ 00:15:30.130 Annie Yu: No, we are a hundred percent match now with the revenue and order. So I will update the dashboard.
109 00:15:31.380 ⇒ 00:15:42.649 Robert Tseng: Oh, fantastic! Okay, once you do that, can you send a message to? I don’t even know who’s asking for that update. I’m pretty sure it’s Mattesh, but just let them know that. We’re good there.
110 00:15:43.663 ⇒ 00:15:52.430 Annie Yu: One quick question about this. So with the Channel sales summary, the spend includes both both
111 00:15:53.140 ⇒ 00:16:02.519 Annie Yu: offline and north beam. But then, in the marketing. Kpis. Mattesh is using those metrics.
112 00:16:04.850 ⇒ 00:16:08.960 Annie Yu: We’re using product sales summary. So I guess my question is.
113 00:16:09.560 ⇒ 00:16:19.380 Annie Yu: well, we need to switch everything over to channel sales summary, or just that paid and free channel ratio.
114 00:16:26.240 ⇒ 00:16:29.059 Awaish Kumar: We have this late, because, offline.
115 00:16:29.060 ⇒ 00:16:29.660 Annie Yu: Oh, yeah. Yeah.
116 00:16:29.660 ⇒ 00:16:32.740 Awaish Kumar: Like we get a sheet from Rob.
117 00:16:33.060 ⇒ 00:16:36.190 Annie Yu: Yeah, yeah, I think that include product sales. Summary.
118 00:16:36.646 ⇒ 00:16:39.709 Awaish Kumar: So yeah, I’m just putting in the context for Robert.
119 00:16:39.710 ⇒ 00:16:40.779 Annie Yu: Yeah, yeah, yeah, yeah.
120 00:16:40.780 ⇒ 00:16:41.410 Robert Tseng: Okay.
121 00:16:41.410 ⇒ 00:16:45.010 Annie Yu: Understood, but I guess that question is more for Robert.
122 00:16:45.680 ⇒ 00:16:48.680 Robert Tseng: Yeah, I mean.
123 00:16:48.680 ⇒ 00:16:54.269 Annie Yu: I think Mattesh likes that the Kpis align with roas dashboard.
124 00:16:54.790 ⇒ 00:16:55.490 Robert Tseng: Yes.
125 00:16:56.110 ⇒ 00:17:01.729 Annie Yu: So we’ll we’ll keep the other Kpis
126 00:17:02.430 ⇒ 00:17:08.690 Annie Yu: as is, and I’ll just add that free to pay channel ratio.
127 00:17:10.020 ⇒ 00:17:15.719 Robert Tseng: Yeah, I think that’s fair. We’ll just give him what he asked for. We don’t have to update the models unless he’s saying that he wants to see
128 00:17:15.890 ⇒ 00:17:17.819 Robert Tseng: differently.
129 00:17:18.231 ⇒ 00:17:24.010 Robert Tseng: Yeah, I mean, honestly, it’s been so long. I don’t remember the context. I would have to go and look at that same.
130 00:17:24.160 ⇒ 00:17:32.410 Robert Tseng: I would go back to the meeting notes, watch the video of like what he asked for then, and I would try to confirm through that. But it would just take me a while to do that. So
131 00:17:32.848 ⇒ 00:17:38.609 Robert Tseng: ideally you maybe you could. You can go and do that to verify, but I think your assumption is fair.
132 00:17:39.310 ⇒ 00:17:40.370 Annie Yu: Okay. Yeah.
133 00:17:40.660 ⇒ 00:17:46.830 Robert Tseng: Okay. So moving that to internal review we should be clear on that. Alright, let’s talk through.
134 00:17:47.380 ⇒ 00:17:56.509 Robert Tseng: Yeah. This one was supposed to be like you do, because we don’t really know what it was about. I also didn’t get to it. So I think this is just
135 00:17:56.720 ⇒ 00:17:58.659 Robert Tseng: gonna be reassigned to me.
136 00:17:59.530 ⇒ 00:18:05.119 Robert Tseng: Figure out what the ask was, there we go here.
137 00:18:06.170 ⇒ 00:18:11.352 Robert Tseng: Okay? And then, yeah, investigating orders. Delivery time.
138 00:18:13.440 ⇒ 00:18:18.940 Robert Tseng: I think this is similar to this one. Yeah, where did we?
139 00:18:20.040 ⇒ 00:18:25.050 Robert Tseng: Right? This was still like, we’re waiting on bass to trying to figure out how Bass calculates it.
140 00:18:25.700 ⇒ 00:18:29.149 Robert Tseng: I mean, I don’t think we’re gonna get to that. So
141 00:18:31.610 ⇒ 00:18:34.979 Robert Tseng: I feel like robust. Rebecca is gonna bring this up today.
142 00:18:36.933 ⇒ 00:18:42.746 Robert Tseng: We did ask T. Brown to send a message to ask about it, but he didn’t.
143 00:18:45.090 ⇒ 00:18:51.600 Robert Tseng: Okay, so alright, I’ll reassign this to myself.
144 00:18:53.610 ⇒ 00:19:01.800 Robert Tseng: unless you ask ask how they calculate the order. If you’re gonna verify, the platform
145 00:19:05.100 ⇒ 00:19:09.310 Robert Tseng: doesn’t seem to line up with what we have, you say.
146 00:19:10.230 ⇒ 00:19:16.360 Robert Tseng: Ask Timestamps, and it should go as our delivery right?
147 00:19:16.930 ⇒ 00:19:20.390 Robert Tseng: I mean, I’m gonna look really dumb if we’re not using Chippo. But
148 00:19:20.680 ⇒ 00:19:25.469 Robert Tseng: is that the is that the right question? Is that kind of is that the right way to frame it.
149 00:19:25.960 ⇒ 00:19:31.830 Robert Tseng: I don’t. I mean, I recall seeing that like not all of our orders are actually processed through through Shippo. So
150 00:19:33.800 ⇒ 00:19:36.829 Robert Tseng: I mean? It doesn’t hurt to ask. But like, I guess
151 00:19:37.340 ⇒ 00:19:44.209 Robert Tseng: this, this is this is, yeah. Just whoever knows context here like, is this, is this, what is this the right way to frame it?
152 00:19:45.090 ⇒ 00:19:49.959 Demilade Agboola: Yeah, potentially, we could ask them. But I I think we could also try and see if
153 00:19:50.950 ⇒ 00:19:54.329 Demilade Agboola: we also have a delivery date.
154 00:19:54.930 ⇒ 00:20:08.529 Demilade Agboola: That comes. I’m not sure we do, but I would look and see if we have a delivery date that comes in with bask data. If it does, I can try and see if we we have a disparity, and what that disparity is between that and shape or data.
155 00:20:09.800 ⇒ 00:20:13.159 Robert Tseng: Okay, could you? Could you do that first, st before I ask the question.
156 00:20:13.780 ⇒ 00:20:14.729 Demilade Agboola: Yeah, sure. Sure.
157 00:20:14.930 ⇒ 00:20:24.580 Robert Tseng: Okay to look at discrepancy between basket and Chabot delivery.
158 00:20:25.792 ⇒ 00:20:37.070 Robert Tseng: I wanna let him know, like what we’ve tried, you know. At least that will, even if I’m wrong, like, at least let him know that like, okay, well, we tried looking at the these things, and it didn’t really match up. So
159 00:20:37.570 ⇒ 00:20:51.889 Robert Tseng: okay, cool. Let’s talk about things that are in progress. Yeah. So this is kind of we talked about this already writing the local script. If a wish ends up kind of building the pipeline or going to script. Approach either way. We’ll just make a call on that.
160 00:20:52.420 ⇒ 00:20:55.944 Robert Tseng: Okay? And then revenue amortization.
161 00:20:59.570 ⇒ 00:21:02.530 Robert Tseng: yeah, I mean, this one is.
162 00:21:05.270 ⇒ 00:21:13.490 Robert Tseng: I guess this is more of a spike to be honest, because we don’t really know what this will entail. But you were on that call with the revenue amortization call?
163 00:21:16.870 ⇒ 00:21:22.800 Robert Tseng: Yeah, I’d like, Do do you need more context on this? Dave Mulatte.
164 00:21:23.160 ⇒ 00:21:30.980 Demilade Agboola: I wanna, say, we need more context. But I think the only thing we do is trying what we’re trying to get the stripe Api credentials. So we can see.
165 00:21:31.740 ⇒ 00:21:32.780 Demilade Agboola: I think.
166 00:21:32.880 ⇒ 00:21:37.089 Demilade Agboola: that I think right now. We have 2 of them. I know, I put in one of them like 2
167 00:21:37.280 ⇒ 00:21:42.050 Demilade Agboola: tickets by not putting one of them about us, needing the stripe.
168 00:21:42.440 ⇒ 00:21:46.009 Demilade Agboola: Api, I think. Yeah, it’s 3, 9, 2. So it’s right below.
169 00:21:47.620 ⇒ 00:21:48.550 Robert Tseng: Me too.
170 00:21:49.350 ⇒ 00:21:50.290 Demilade Agboola: Yeah.
171 00:21:50.800 ⇒ 00:21:51.560 Robert Tseng: Okay.
172 00:21:51.970 ⇒ 00:21:59.660 Demilade Agboola: Yeah. So once we can get the stripe keys, we can start looking at the raw numbers are coming from stripe. And then we can start modeling that into the strategy.
173 00:22:00.350 ⇒ 00:22:04.699 Robert Tseng: Okay, got it. I will also respond to that immediately after this call.
174 00:22:10.640 ⇒ 00:22:21.269 Robert Tseng: I think this is relevant to Annie when she updates the dashboard based off of the new model. So I think that should also hit on this ticket. Right?
175 00:22:26.060 ⇒ 00:22:29.089 Robert Tseng: Right? This is just a recategorization of customer. I/O stuff.
176 00:22:36.110 ⇒ 00:22:38.270 Robert Tseng: and you might be muted. I don’t know if you’re talking.
177 00:22:41.233 ⇒ 00:22:48.950 Annie Yu: For this one, I think it was for a wish to exclude customer I/O from certain
178 00:22:49.740 ⇒ 00:22:54.449 Annie Yu: models with that bar part it’s already excluded.
179 00:22:56.770 ⇒ 00:22:57.740 Robert Tseng: So is this done.
180 00:23:01.315 ⇒ 00:23:05.999 Awaish Kumar: No like we’re like, no like we want to exclude
181 00:23:06.880 ⇒ 00:23:12.540 Awaish Kumar: spend on customer I/O on, like, you know in what model like product sales, summary or.
182 00:23:16.340 ⇒ 00:23:36.809 Robert Tseng: Okay, so I mean, I don’t. I think this is up to you to decide. But like this, isn’t this pretty clear like? There. This is what the view looks like we have in the unpaid channels. We have unattributed lot of the Ci customer, I/O. We need to validate that. It’s customer, I/O, and if it is, we need to split it out. We don’t. We can’t call it unattributed. That was something that he was asking for.
183 00:23:39.320 ⇒ 00:23:44.540 Awaish Kumar: I will look at it today. It’s it’s yeah, it’s coming from sheets. I will verify it.
184 00:23:44.650 ⇒ 00:23:46.429 Awaish Kumar: If we have customer, dot I/O.
185 00:23:46.750 ⇒ 00:23:48.330 Robert Tseng: Okay, confirm.
186 00:23:49.100 ⇒ 00:23:54.850 Robert Tseng: It is because I/O, if it is, split it out.
187 00:23:58.750 ⇒ 00:24:01.730 Robert Tseng: Okay, great.
188 00:24:07.350 ⇒ 00:24:14.900 Awaish Kumar: So just I just need to filter it out for current dashboard, or we want a separate model as well for customer.
189 00:24:16.930 ⇒ 00:24:19.729 Robert Tseng: I wonder if this is related to the bobby thing.
190 00:24:21.160 ⇒ 00:24:26.059 Awaish Kumar: That is only I, that customer I/O thing, was only email conversion thing
191 00:24:26.320 ⇒ 00:24:31.840 Awaish Kumar: we get. We send an email, and we see the if there’s an order or conversion of that email.
192 00:24:32.450 ⇒ 00:24:33.260 Robert Tseng: I see.
193 00:24:36.070 ⇒ 00:24:40.459 Robert Tseng: Yeah, I mean, I don’t know exactly what you mean by split out to new model like, it’s just
194 00:24:42.130 ⇒ 00:24:50.859 Robert Tseng: I think it’s just like it should be a difference. I think it should just be its own channel, not unattributed. So I think it could stay in the same model. We’re just like relabeling it right.
195 00:24:51.470 ⇒ 00:24:54.169 Awaish Kumar: We just need to investigate why, it’s unatroputed and.
196 00:24:54.860 ⇒ 00:24:55.490 Robert Tseng: Yeah.
197 00:24:56.450 ⇒ 00:24:58.660 Awaish Kumar: Okay? And it’s revenue, right?
198 00:24:59.120 ⇒ 00:24:59.950 Awaish Kumar: But.
199 00:24:59.950 ⇒ 00:25:02.230 Robert Tseng: Yes, revenue. Yeah.
200 00:25:06.830 ⇒ 00:25:13.340 Robert Tseng: Okay, so for this one. Yeah, this was kind of just like, yeah. Annie added a few kind of changes to the
201 00:25:13.737 ⇒ 00:25:19.190 Robert Tseng: base. It seems like I don’t know. Did this get you all the way there when you, when you switch to order summary.
202 00:25:20.435 ⇒ 00:25:27.970 Annie Yu: Yes, and I think it’s the result is reliable. One thing that I noticed was just that
203 00:25:28.270 ⇒ 00:25:35.380 Annie Yu: when comparing, like using basically the same query for order, summary, and then one for order.
204 00:25:35.490 ⇒ 00:25:36.650 Annie Yu: Details.
205 00:25:37.700 ⇒ 00:25:41.630 Annie Yu: I found, like 10 order numbers that exist
206 00:25:42.190 ⇒ 00:25:46.690 Annie Yu: in order details, but not in order summary, but but
207 00:25:47.610 ⇒ 00:25:53.520 Annie Yu: But, in short, for this use case I’m not using Order summary, which I think is more reliable.
208 00:25:56.460 ⇒ 00:25:57.150 Robert Tseng: Okay?
209 00:25:58.420 ⇒ 00:26:09.740 Robert Tseng: Great. Yeah. So if I, if this is ready, can you tag Kyle, and let him know you can use this. You can use. This kind of template, you can adapt it, but, like everything is, should be in the ticket. So.
210 00:26:10.370 ⇒ 00:26:16.549 Annie Yu: Okay? And that’s in the the broader external analytics channel.
211 00:26:16.980 ⇒ 00:26:18.660 Robert Tseng: Yep. Yeah. You can just tag them. There.
212 00:26:18.890 ⇒ 00:26:19.530 Annie Yu: Okay.
213 00:26:20.050 ⇒ 00:26:20.750 Robert Tseng: Thank you.
214 00:26:23.190 ⇒ 00:26:25.310 Robert Tseng: Great. And then.
215 00:26:25.870 ⇒ 00:26:37.199 Robert Tseng: yeah, I mean the segment stuff I’ve I’ve set aside some time today to do it. So I think I’ll be doing Eden stuff the next 2 h. Pretty much so. Yeah, I mean, I’ll I’ll have an update on all this.
216 00:26:37.848 ⇒ 00:26:45.929 Robert Tseng: Yeah, this is a deleting deleting customer data. We had a request here waste. So it’s a good time to test kind of like what we set up there.
217 00:26:47.770 ⇒ 00:26:49.530 Robert Tseng: Yeah, I think just
218 00:26:50.370 ⇒ 00:27:01.080 Robert Tseng: I don’t know what the lift is for that. But seems like, if you, I think we’re, this is just like, finally, we’re testing the the what he had set up like a couple of weeks ago.
219 00:27:03.920 ⇒ 00:27:19.010 Robert Tseng: So yeah, once, once you once you do that and you send have the results. Just if you could just somehow loop me into it so I could let the Eden team go, hey? We successfully deleted customer data here, or something, and like, I think that’s something that they would want to see.
220 00:27:20.650 ⇒ 00:27:21.390 Awaish Kumar: Okay.
221 00:27:22.480 ⇒ 00:27:27.490 Robert Tseng: Okay? Yeah. This one.
222 00:27:27.730 ⇒ 00:27:29.640 Robert Tseng: What is up with this?
223 00:27:32.230 ⇒ 00:27:34.566 Robert Tseng: I think this is
224 00:27:38.060 ⇒ 00:27:53.760 Demilade Agboola: Yeah, I just added it in progress today. And so I’m going to start digging into it and create like a a model that we can have, so that once we need the latest numbers, we just like, select all from that model and send it over.
225 00:27:54.590 ⇒ 00:27:56.600 Robert Tseng: Yeah, okay.
226 00:27:57.016 ⇒ 00:28:00.570 Robert Tseng: I don’t know if this is actually the right query. I think
227 00:28:04.210 ⇒ 00:28:05.319 Robert Tseng: I think
228 00:28:12.690 ⇒ 00:28:18.940 Robert Tseng: there’s so many channels I don’t even know. This one.
229 00:28:34.530 ⇒ 00:28:42.190 Robert Tseng: it might be like this was the final like thing that we had sent over to accounting.
230 00:28:42.350 ⇒ 00:28:50.109 Robert Tseng: It was close to 36 million. I think, Demoda, you help me validate that. I think, whatever that was just like monthly state
231 00:28:52.440 ⇒ 00:28:57.450 Robert Tseng: like, we’re just basically trying to get this model that we had sent. And we’re trying to just
232 00:28:58.160 ⇒ 00:29:08.330 Robert Tseng: or this query, and we try to turn into a month like a just a monthly model, so that we can just keep sending that to accounting next time they ask for it. So
233 00:29:08.490 ⇒ 00:29:14.660 Robert Tseng: I think that what I did here was this was just like a year to date. Query.
234 00:29:14.870 ⇒ 00:29:20.290 Robert Tseng: I think it comes with what we had described here, you know, state and everything we find, whatever.
235 00:29:24.170 ⇒ 00:29:29.789 Robert Tseng: yeah, we just need to have this ready on hand for the next month when they ask for it.
236 00:29:31.440 ⇒ 00:29:33.070 Robert Tseng: That’s what this ticket is.
237 00:29:33.070 ⇒ 00:29:37.309 Demilade Agboola: Next week, or is it like the month after that.
238 00:29:38.110 ⇒ 00:29:43.479 Robert Tseng: Well, I’m not sure, because I feel like we were late here. So I think this was.
239 00:29:43.840 ⇒ 00:29:49.789 Robert Tseng: I expect. Well, typically accounting teams. They do their month close 10 days before the month closes. So
240 00:29:50.430 ⇒ 00:30:03.320 Robert Tseng: I would assume that maybe because of what we did already that took care of June, and the next time we’ll get. This request is July 20, th but, like, you know, I would say, just this needs to be ready by mid month by next month.
241 00:30:03.880 ⇒ 00:30:09.659 Robert Tseng: But we should just while while it’s fresh, we should just build it. Otherwise we’re I’m gonna forget about this. So.
242 00:30:10.100 ⇒ 00:30:11.220 Demilade Agboola: Okay. Sounds good.
243 00:30:11.220 ⇒ 00:30:13.250 Robert Tseng: Yeah, okay, cool.
244 00:30:18.000 ⇒ 00:30:19.150 Robert Tseng: I will.
245 00:30:21.490 ⇒ 00:30:28.459 Robert Tseng: Now I’m now. I’m like a bit worried that like this is not the right. I mean, like, what I sent was the right one. But I don’t know if that’s what matches here.
246 00:30:28.800 ⇒ 00:30:30.573 Robert Tseng: Bit confused.
247 00:30:45.800 ⇒ 00:30:46.710 Robert Tseng: okay.
248 00:30:55.890 ⇒ 00:30:59.169 Robert Tseng: okay, hopefully, that gave you some enough context there
249 00:31:00.080 ⇒ 00:31:13.869 Robert Tseng: alright. And then refactoring product sales summary. I think we haven’t started that. We just made like a quick change yesterday. That’s just something that I wish you would like to make time to do by the end of this week. So
250 00:31:14.350 ⇒ 00:31:16.229 Robert Tseng: That’s still in progress. Correct.
251 00:31:17.180 ⇒ 00:31:17.820 Awaish Kumar: Yes.
252 00:31:18.500 ⇒ 00:31:19.260 Robert Tseng: Okay?
253 00:31:19.450 ⇒ 00:31:28.650 Robert Tseng: And then anything else with the categories. Oh, just categorization. Yeah. Demote. And Annie, like, what’s up with this.
254 00:31:33.560 ⇒ 00:31:43.979 Demilade Agboola: So I know I pushed a change, for, like the high level, like product categories and so categories. I don’t know if that has met the business need, or if there are still more things they need.
255 00:31:45.769 ⇒ 00:31:56.020 Annie Yu: Yeah, I’ve updated the product. Drill down dashboard with the Ca, the category field. And that’s 1 of the updates. Robert. In the in the loom.
256 00:31:56.460 ⇒ 00:32:00.240 Annie Yu: but I I do believe that’s that should suffice.
257 00:32:01.190 ⇒ 00:32:05.230 Robert Tseng: Okay, I’m gonna consider it done.
258 00:32:05.420 ⇒ 00:32:08.829 Robert Tseng: The loom. Did you send that to? Where did you send that to me?
259 00:32:09.448 ⇒ 00:32:11.839 Annie Yu: The product. Drill down ticket.
260 00:32:12.340 ⇒ 00:32:14.350 Robert Tseng: Oh, is it? The is in the ticket? Okay?
261 00:32:14.350 ⇒ 00:32:16.679 Annie Yu: I think I think you opened it up.
262 00:32:16.680 ⇒ 00:32:17.690 Robert Tseng: Already went over it.
263 00:32:18.060 ⇒ 00:32:22.150 Annie Yu: Your call, you said, That’s on on you, was it?
264 00:32:22.840 ⇒ 00:32:27.710 Robert Tseng: Oh, okay, sure I if I see it, I’ll get to it. If not, then please Re, share it with me.
265 00:32:30.490 ⇒ 00:32:37.387 Robert Tseng: yeah, we have not touched this in a while, Annie, I would like you to kind of like, give
266 00:32:39.180 ⇒ 00:32:42.579 Robert Tseng: like I want, I want this to keep moving. So
267 00:32:43.970 ⇒ 00:32:46.560 Robert Tseng: Yeah, like, can lots, lots.
268 00:32:49.930 ⇒ 00:32:53.519 Robert Tseng: Let’s have. Let’s have something. An update on this, please.
269 00:32:55.530 ⇒ 00:32:57.550 Annie Yu: Okay, wait. You said, today.
270 00:32:58.894 ⇒ 00:33:07.699 Robert Tseng: Well, I mean, we talked about this like over a month ago, and I know, like random, like ad hoc. Things come here and there, but like
271 00:33:07.950 ⇒ 00:33:16.479 Robert Tseng: as far as like longer term projects like, I, I think this is you own this. So like I need, I need you to be the one to kind of push this forward.
272 00:33:17.190 ⇒ 00:33:18.480 Annie Yu: Yeah, okay.
273 00:33:18.480 ⇒ 00:33:19.140 Robert Tseng: Okay.
274 00:33:20.630 ⇒ 00:33:31.150 Robert Tseng: thanks. So it’s a spike after your after a spike is done. Expect kind of an outline kind of like what a wish said, it’s like, okay, these are the different OP ways that we can go.
275 00:33:31.762 ⇒ 00:33:45.909 Robert Tseng: You know, there’s like a short term solution where we could build like the the easy script that I run locally, or the longer term solution would build up the full pipeline like that to me, is like a good spike, like, I think what we say, because that that helps me to know.
276 00:33:46.090 ⇒ 00:33:52.280 Robert Tseng: like, what’s the faster solution, the short term, what’s like the longer term thing like, how do I set expectations around this?
277 00:33:52.600 ⇒ 00:33:59.406 Robert Tseng: Yeah, like, clients may have forgot about this, but just because they’re not asking for it now doesn’t mean that it’s not valuable. So
278 00:34:00.702 ⇒ 00:34:02.150 Annie Yu: And on that
279 00:34:02.350 ⇒ 00:34:11.050 Annie Yu: I thought I already did like a document where I outlined and that’s if you scroll down. That’s in that, Doc.
280 00:34:12.420 ⇒ 00:34:15.190 Annie Yu: that that was from a while ago.
281 00:34:17.424 ⇒ 00:34:19.669 Annie Yu: And then option 2 would be.
282 00:34:21.665 ⇒ 00:34:22.060 Robert Tseng: Sign.
283 00:34:22.060 ⇒ 00:34:25.480 Annie Yu: Or is that? Are we like looking for something different?
284 00:34:25.489 ⇒ 00:34:31.369 Robert Tseng: Yeah, no, no, this is what I well, I think it just it just fell off. So you kind of have to press me on it. I guess
285 00:34:32.139 ⇒ 00:34:33.069 Annie Yu: Yeah, yeah.
286 00:34:33.070 ⇒ 00:34:34.710 Robert Tseng: Yeah, I mean, this is fine.
287 00:34:34.710 ⇒ 00:34:42.929 Annie Yu: This I was more so like during ideas, so I will get on it, and.
288 00:34:43.429 ⇒ 00:34:51.309 Robert Tseng: Okay, I’ll try to review this also in the next 30 min and try to give you like, kind of a next push on it. But yeah, thank you for pointing that out.
289 00:34:53.259 ⇒ 00:34:58.989 Robert Tseng: Okay, cool. So that covers everything that’s in progress. Hopefully, a lot of this can be closed out.
290 00:35:00.127 ⇒ 00:35:02.919 Robert Tseng: Yeah, there’s some things
291 00:35:04.029 ⇒ 00:35:14.709 Robert Tseng: that I will bring into cycle probably tomorrow. I mean, I don’t know if we’ll bring it in tomorrow. I we didn’t really have time to talk about other things here. So
292 00:35:15.569 ⇒ 00:35:33.879 Robert Tseng: and then we only have like a few days left. I think it’s fine. Let’s just X. Let’s just deliver on the things that we have in progress any updates that we’re making to dashboards to models like, please proactively reach out in the analytics Channel tag the appropriate stakeholder. Let them know the change that was made. Get their eyes on it like
293 00:35:34.544 ⇒ 00:35:46.059 Robert Tseng: we’ve been pretty quiet in the Channel this this week. So I want I want us to have a bunch of updates to send to them. So I think that’s that’s that would be that would be good for today.
294 00:35:53.119 ⇒ 00:35:54.899 Robert Tseng: Cool any other questions.
295 00:36:01.449 ⇒ 00:36:06.089 Robert Tseng: Alright, if not, then we’ll continue talking slack. Thanks. Everyone.