Meeting Title: Eden Team Weekly Stand-up and Retro Date: 2025-09-05 Meeting participants: Amber Lin, Awaish Kumar, Demilade Agboola, Henry Zhao


WEBVTT

1 00:00:26.340 00:00:27.460 Amber Lin: Hello!

2 00:00:34.350 00:00:36.010 Amber Lin: Hi, everyone.

3 00:00:36.190 00:00:38.569 Demilade Agboola: Alright, we’re feeling better.

4 00:00:40.570 00:00:41.460 Awaish Kumar: Yeah.

5 00:00:42.740 00:00:44.240 Awaish Kumar: I’m fine now.

6 00:00:44.860 00:00:46.790 Demilade Agboola: Yeah, that’s great to hear, that’s great to hear.

7 00:00:48.360 00:01:02.389 Amber Lin: Okay, probably I’ll do a little bit of a stand-up, just to check on tasks, because I think a few things came in, and then we can do a quick retro. Do you guys know if Henry’s joining?

8 00:01:14.250 00:01:15.590 Amber Lin: Okay.

9 00:01:23.470 00:01:24.140 Amber Lin: Alright.

10 00:01:26.210 00:01:27.930 Amber Lin: Hi, Harry!

11 00:01:27.930 00:01:30.809 Henry Zhao: No, this meeting was at 2.20. It’s like 2.30.

12 00:01:32.390 00:01:33.419 Henry Zhao: I think I checked.

13 00:01:34.230 00:01:36.500 Amber Lin: Okay.

14 00:01:37.490 00:01:44.569 Amber Lin: I’ll add one… Judd sent in a new Monday request.

15 00:01:46.530 00:01:48.549 Amber Lin: I’ll just note it here.

16 00:01:48.840 00:01:53.289 Henry Zhao: I already, I already opened up something similar.

17 00:01:53.910 00:01:54.910 Amber Lin: Oh, okay.

18 00:01:54.910 00:01:56.460 Henry Zhao: I just marked it as done, because…

19 00:01:57.860 00:01:59.959 Henry Zhao: I think there’s nothing that needs to be done here.

20 00:02:00.590 00:02:01.360 Amber Lin: Oh.

21 00:02:01.690 00:02:03.360 Amber Lin: I see, okay.

22 00:02:03.360 00:02:12.479 Henry Zhao: But I asked the Wish just to double check. Awish, do you know if there’s any numbers that are in BASC that are not in Customer IO? I don’t think there is, based on my check.

23 00:02:13.960 00:02:15.370 Henry Zhao: I just did a quick check.

24 00:02:16.100 00:02:18.430 Henry Zhao: And I think all the customer IDs are already in there.

25 00:02:25.660 00:02:32.869 Henry Zhao: Do you know if there’s any, like, phone numbers that BASC receives that we don’t send to either customer-enriched profiles or Customer I.O? I don’t think so.

26 00:02:34.260 00:02:41.050 Awaish Kumar: Yeah, but that’s not in our, like, vast sense to segment.

27 00:02:41.150 00:02:43.350 Henry Zhao: And segment is the one.

28 00:02:44.100 00:02:53.019 Awaish Kumar: Which is, like… Customer enriched profile is completely dependent on the segmented data.

29 00:02:53.230 00:02:55.050 Henry Zhao: Okay, so we should have a…

30 00:02:55.860 00:03:00.439 Awaish Kumar: So ideally, it should have everything coming from Bask as well.

31 00:03:00.640 00:03:05.360 Awaish Kumar: Perfect. That’s what I confirmed. I would just suggest… yeah, but I would just suggest double check.

32 00:03:05.580 00:03:08.740 Awaish Kumar: Double checking, because the segment,

33 00:03:08.890 00:03:14.970 Awaish Kumar: If Segment makes a mistake, like, then we are just, propagating… propagating that.

34 00:03:16.330 00:03:18.020 Awaish Kumar: Nope, there’s no contact.

35 00:03:18.070 00:03:19.109 Henry Zhao: It’s all in there.

36 00:03:19.610 00:03:25.999 Henry Zhao: So, me asking you is actually to double check. I already checked on my end, so I will respond to Judd definitively.

37 00:03:27.660 00:03:40.790 Amber Lin: Okay, sounds good. And then I’m just checking the channels here… That one.

38 00:03:45.660 00:03:48.699 Amber Lin: I guess that’s the task I’m allotted for you.

39 00:03:52.340 00:03:54.310 Amber Lin: Just noteing down here.

40 00:03:54.650 00:03:55.600 Amber Lin: Can we?

41 00:03:55.790 00:04:00.650 Demilade Agboola: So, I’m responding to him, but basically, it’s the things we requested from Basque.

42 00:04:00.760 00:04:04.220 Demilade Agboola: Where, we asked them for, one.

43 00:04:04.380 00:04:09.319 Demilade Agboola: Pharmacy data is missing. About 80% of it is missing in the orders that they fire to us.

44 00:04:10.120 00:04:17.710 Demilade Agboola: Therefore, we can’t, like, it restricts how much, analysis we can do on pharmacy-level data.

45 00:04:18.089 00:04:34.319 Demilade Agboola: we only get sense from pharmacy data when orders are shipped, which means prior to them being shipped, we don’t necessarily know what’s happening in that time period. So, that’s kind of why, like, the analysis portion is missing, so I’m responding to him literally as we speak.

46 00:04:34.840 00:04:35.480 Amber Lin: Okay.

47 00:04:35.610 00:04:37.050 Amber Lin: Sounds good.

48 00:04:37.560 00:04:38.680 Amber Lin: Awesome.

49 00:04:38.900 00:04:39.910 Amber Lin: Yes.

50 00:04:40.380 00:04:46.330 Amber Lin: And then… Okay.

51 00:04:47.310 00:04:49.789 Amber Lin: Sounds good, that’s farm lobs.

52 00:04:50.420 00:04:53.710 Amber Lin: And then… Okay.

53 00:04:54.220 00:05:02.610 Amber Lin: That’s good. I have a request on, the response on QuickBooks. So we asked them.

54 00:05:03.180 00:05:11.100 Amber Lin: what are we gonna do? We don’t have admin access. I think short-term,

55 00:05:13.910 00:05:19.679 Amber Lin: Like, I think their main concern is they don’t want to give us the more personal info.

56 00:05:19.920 00:05:30.309 Amber Lin: so… we should… they… I think they want us to use the access they gave us…

57 00:05:30.690 00:05:33.599 Amber Lin: I wish, do you think I’m interpreting that correctly?

58 00:05:37.050 00:05:41.649 Awaish Kumar: Yeah, so they don’t want to give us more access.

59 00:05:41.960 00:05:49.189 Amber Lin: Yeah, we’ll probably just have to manually download from QuickBooks using the access they gave us.

60 00:05:53.860 00:05:57.880 Awaish Kumar: Okay, we’ll see, like… Hmm, oof.

61 00:05:58.780 00:06:05.730 Awaish Kumar: Like, okay, we have the credentials in one pass. If, if there are a…

62 00:06:05.960 00:06:13.759 Awaish Kumar: like, do you know what data you need? Like, if you can log in and see if you are able to download it.

63 00:06:14.150 00:06:18.960 Awaish Kumar: Then we can ask, maybe, Casey to write an automation for us.

64 00:06:19.340 00:06:20.300 Amber Lin: Okay.

65 00:06:20.300 00:06:25.219 Awaish Kumar: So we can just download automatically to Google Sheets. But for the first…

66 00:06:26.040 00:06:30.170 Awaish Kumar: But, like, I would like to confirm that we are able to get the

67 00:06:30.400 00:06:34.470 Awaish Kumar: Data we need from… with the existing credentials.

68 00:06:36.900 00:06:38.110 Awaish Kumar: Yep.

69 00:06:38.110 00:06:46.040 Amber Lin: I’ll close this, I’ll edit, edit… Where is it? This one?

70 00:06:46.900 00:06:53.019 Amber Lin: Attempt… Download from QuickBooks.

71 00:07:06.700 00:07:07.470 Amber Lin: Okay.

72 00:07:10.200 00:07:16.950 Amber Lin: Status to do… Alright, that’s the one… one thing, and then…

73 00:07:17.930 00:07:23.909 Amber Lin: And then response on, should we add ad spend to all sources? Mitesh says yes.

74 00:07:24.250 00:07:25.049 Amber Lin: I don’t like it.

75 00:07:25.050 00:07:28.830 Awaish Kumar: Yeah, we’ll just create a ticket to streamline the…

76 00:07:29.510 00:07:31.620 Awaish Kumar: That is spread across all dashboards.

77 00:07:31.620 00:07:32.470 Amber Lin: Yes.

78 00:07:32.960 00:07:33.940 Amber Lin: Perfect.

79 00:07:34.100 00:07:37.050 Amber Lin: straight… Tash.

80 00:07:37.990 00:07:42.420 Amber Lin: Stream, wine, and spell the cross.

81 00:07:42.630 00:07:44.540 Amber Lin: All dashboards…

82 00:07:45.640 00:07:51.530 Awaish Kumar: Like, not… all the market… not just the ad spend, it’s, like, all the marketing spend.

83 00:07:51.530 00:07:53.140 Amber Lin: Oh, you’re right.

84 00:07:53.810 00:08:01.640 Amber Lin: Span across all dashboards, and I think Cutter wants two columns.

85 00:08:02.710 00:08:08.480 Awaish Kumar: Yeah, but like, that should be the… maybe the…

86 00:08:09.230 00:08:18.020 Awaish Kumar: like, we can skip that for now, like, we already have a field called channels, and through that, you can see

87 00:08:18.340 00:08:27.280 Awaish Kumar: If it is coming from the offer, it is coming from MNT and Vibe, or is it coming from Google Ads, Facebook ads, so I don’t think we need any additional columns.

88 00:08:27.280 00:08:27.660 Amber Lin: Okay.

89 00:08:27.660 00:08:30.230 Awaish Kumar: They can just use that column.

90 00:08:30.230 00:08:30.720 Amber Lin: good.

91 00:08:30.720 00:08:37.220 Awaish Kumar: Like, we just work on Mitesh request, and then we’ll see. If they ask for an extra grouping, we’ll do that.

92 00:08:37.230 00:08:43.709 Amber Lin: Okay. For now, just… Sounds good. Who is assigned to this task?

93 00:08:46.320 00:08:50.139 Awaish Kumar: Right, it could be, I mean, it could be between me and Devil Nade.

94 00:08:50.540 00:09:08.989 Demilade Agboola: Yeah, I think for the context of this task, it’s for the snapshot data, so I will do that and add the other sources, because we’re only using the offer, and I believe the other dashboards are using all the other sources as well, so I would integrate them into the dashboard.

95 00:09:10.930 00:09:17.360 Amber Lin: Okay. I was just a little worried that a lot of you have too much tasks. How many points would this be?

96 00:09:19.310 00:09:20.630 Demilade Agboola: Maybe two.

97 00:09:20.920 00:09:21.600 Amber Lin: Okay.

98 00:09:22.130 00:09:23.560 Amber Lin: Sounds good.

99 00:09:27.370 00:09:31.939 Amber Lin: Okay, data request, documented that. Okay.

100 00:09:32.160 00:09:37.959 Amber Lin: That’s good. Just a quick run-through of our current task before we can do our retro.

101 00:09:38.600 00:09:41.559 Amber Lin: Ghl, we’re doing that today, right?

102 00:09:42.630 00:09:43.400 Awaish Kumar: Yep.

103 00:09:43.630 00:09:46.520 Amber Lin: Okay, sounds good. I’m gonna close Andrew’s ticket.

104 00:09:47.120 00:09:52.300 Amber Lin: And then… Fine, yeah.

105 00:09:52.300 00:09:52.770 Awaish Kumar: Oops!

106 00:09:55.560 00:09:59.800 Awaish Kumar: Were we able to ship anything on the Tableau side this week?

107 00:10:01.200 00:10:05.809 Amber Lin: Did a change on the PO…

108 00:10:05.810 00:10:08.669 Henry Zhao: Yeah, only the PLTV stuff, thanks to Demolade.

109 00:10:09.520 00:10:10.070 Amber Lin: Yeah.

110 00:10:11.920 00:10:17.750 Awaish Kumar: But that was… but that was a modeling issue, there was no Tableau development there.

111 00:10:19.520 00:10:21.179 Henry Zhao: Yeah, so nothing else.

112 00:10:23.220 00:10:24.160 Awaish Kumar: Okay, yeah.

113 00:10:24.160 00:10:25.319 Amber Lin: In your beach?

114 00:10:27.510 00:10:32.149 Awaish Kumar: Yeah, this was, like, a modeling change. Abelardi made a change, and it…

115 00:10:32.250 00:10:37.089 Awaish Kumar: just showed the data in the Tableau, but there’s no Tableau development here.

116 00:10:38.290 00:10:39.210 Amber Lin: Let me see.

117 00:10:48.930 00:10:56.470 Amber Lin: Sounds good. What about these? The finance dashboard and the… and the gap?

118 00:10:57.750 00:11:01.279 Henry Zhao: The 46K gap is due to the fees that.

119 00:11:01.280 00:11:02.110 Amber Lin: Ew.

120 00:11:02.490 00:11:06.939 Henry Zhao: that, whatchamacallit? The offer charges us. Well, Eden.

121 00:11:07.590 00:11:08.530 Amber Lin: Mmm…

122 00:11:10.040 00:11:10.890 Awaish Kumar: Okay.

123 00:11:11.610 00:11:12.450 Amber Lin: I just need to…

124 00:11:12.450 00:11:16.230 Henry Zhao: figure out if they want to include it or not include it.

125 00:11:17.600 00:11:19.750 Amber Lin: Need to…

126 00:11:20.660 00:11:23.059 Awaish Kumar: But what is that? Like, we…

127 00:11:26.780 00:11:33.099 Awaish Kumar: But it was, like, only the… the problem was, he was comparing two different dashboards, right?

128 00:11:34.790 00:11:36.550 Demilade Agboola: So, she was comparing?

129 00:11:36.790 00:11:38.110 Amber Lin: His actuals.

130 00:11:38.420 00:11:42.470 Demilade Agboola: Yeah, he was comparing Tableau versus the actual that he had.

131 00:11:43.290 00:11:43.960 Awaish Kumar: Okay.

132 00:11:45.450 00:11:48.840 Awaish Kumar: So, like, Tableau was higher, or what?

133 00:11:50.350 00:11:51.240 Demilade Agboola: was before.

134 00:11:51.240 00:11:51.710 Amber Lin: Oh.

135 00:11:51.710 00:11:52.980 Demilade Agboola: by 46K.

136 00:11:53.670 00:11:58.429 Awaish Kumar: But we already have the offer data in the model, right?

137 00:11:58.720 00:11:59.090 Henry Zhao: Yes.

138 00:11:59.090 00:12:01.619 Demilade Agboola: So it’s not… this is, like, all…

139 00:12:01.770 00:12:08.370 Demilade Agboola: like, ad spend plus affiliate spend comparison. So, when we put our numbers together from all our sources.

140 00:12:08.810 00:12:14.249 Demilade Agboola: all the ad spend that we have, and we compare it to what Jonah has

141 00:12:14.500 00:12:20.449 Demilade Agboola: In, you know, for finance, basically what he can see, the difference was $46K.

142 00:12:20.980 00:12:22.040 Awaish Kumar: Okay.

143 00:12:22.040 00:12:30.310 Demilade Agboola: Yeah, so this is not about, like, any missing source, it’s just basically, like… or it might be about its missing source, but, like, it’s just figuring out, like, why…

144 00:12:30.310 00:12:30.880 Awaish Kumar: Hmm.

145 00:12:31.360 00:12:37.060 Awaish Kumar: Well, my question is, when we already have the offer, whatever they’re spending on the offer.

146 00:12:37.190 00:12:40.479 Awaish Kumar: We already have in our data why then there’s a gap.

147 00:12:41.210 00:12:46.350 Demilade Agboola: Yeah, so that’s what… that’s what Henry just said. It’s because there’s some fees, apparently.

148 00:12:46.550 00:12:51.360 Henry Zhao: And it doesn’t matter anymore, because they said that they’re not gonna be moving forward with the offer anymore in the future.

149 00:12:52.730 00:12:58.750 Awaish Kumar: Okay, so that is, like, on top of it, so the offer also has some extra fees.

150 00:12:59.080 00:12:59.760 Henry Zhao: Yes.

151 00:13:00.950 00:13:05.149 Awaish Kumar: Okay, so, like, we already communicated that with clients, so we can close this.

152 00:13:06.310 00:13:06.849 Henry Zhao: Yeah, we can close.

153 00:13:06.850 00:13:08.299 Amber Lin: I know this now?

154 00:13:10.360 00:13:17.809 Awaish Kumar: the offer charges on top of the offer spent. Like, we have a campaign spent which we can capture.

155 00:13:18.420 00:13:20.939 Awaish Kumar: In the data.

156 00:13:21.170 00:13:26.149 Awaish Kumar: But according to Henry, like, there’s some white stuffies which we don’t have the information about.

157 00:13:26.720 00:13:30.980 Amber Lin: Gotcha. Okay. And then, I guess this is the only one that.

158 00:13:30.980 00:13:38.739 Henry Zhao: Kevin just told me that we do want to include the $15,000 fee that Catalyst will be charging into our ad spend for moving forward.

159 00:13:39.570 00:13:44.229 Amber Lin: Include 15K catalyst.

160 00:13:45.260 00:13:48.780 Amber Lin: Short plus landform charge.

161 00:13:49.210 00:13:51.150 Amber Lin: Who would be doing this?

162 00:13:51.150 00:13:58.199 Awaish Kumar: Well, what that means, Henry, That is a campaign spend, or is that something else?

163 00:14:00.270 00:14:02.540 Henry Zhao: It’s just the fee for using Catalyst, I think.

164 00:14:03.550 00:14:07.079 Awaish Kumar: Okay, so… If FIFA goes up.

165 00:14:07.080 00:14:07.720 Amber Lin: Bulliness.

166 00:14:07.720 00:14:15.610 Awaish Kumar: And then… Then, if on the Catalyst platform they run any campaign, then that will be extra cost, right?

167 00:14:16.180 00:14:25.710 Henry Zhao: Yeah, and they want to put it in the Tableau dashes, but Amber, it’s good that we created this ticket, but put it into backlog. I just want to make sure that it doesn’t match by 15K before we do anything on this.

168 00:14:26.860 00:14:27.690 Amber Lin: Okay.

169 00:14:27.690 00:14:28.250 Henry Zhao: Yeah.

170 00:14:28.770 00:14:33.220 Amber Lin: Who will be doing this? Do we have it in the source?

171 00:14:35.010 00:14:36.690 Awaish Kumar: So right now, we…

172 00:14:36.890 00:14:45.140 Awaish Kumar: like, this fixed cost, we don’t have anywhere in Tableau. We might have to figure out if we want to create a separate tableau or something.

173 00:14:46.640 00:14:47.310 Awaish Kumar: Yeah.

174 00:14:48.240 00:14:56.949 Amber Lin: Okay, sounds good. So I’ll move this to the next cycle, we’ll need to check on that. Who would be doing this?

175 00:14:59.990 00:15:02.760 Amber Lin: I’ll just put it here for now, we can figure it.

176 00:15:02.760 00:15:03.330 Henry Zhao: Fantastic.

177 00:15:04.100 00:15:08.220 Amber Lin: I’ll move this to the next cycle… Okay.

178 00:15:09.410 00:15:12.790 Amber Lin: Isaaco…

179 00:15:12.790 00:15:15.740 Awaish Kumar: No, no It’s blocked by me, still.

180 00:15:15.930 00:15:19.990 Amber Lin: Sounds good. Okay, that’s Harry’s test, and

181 00:15:20.400 00:15:24.589 Amber Lin: Robert is gonna do these next week.

182 00:15:25.490 00:15:29.710 Henry Zhao: Yeah, sorry we didn’t get much done in Tableau this week, but yeah, I’ll try to put in some hours this weekend, too.

183 00:15:29.840 00:15:30.730 Amber Lin: Okay.

184 00:15:30.730 00:15:31.130 Henry Zhao: Get ahead.

185 00:15:31.130 00:15:34.960 Amber Lin: Finance… okay.

186 00:15:35.210 00:15:37.540 Amber Lin: Noah, how are your tasks going?

187 00:15:39.550 00:15:45.110 Demilade Agboola: So, for the… for that, I’ve sent that for client review.

188 00:15:45.220 00:15:57.229 Demilade Agboola: On the NAD across… specific to pharmacy is a bit of a tricky one, because the treatment information doesn’t come with pharmacy data, like, it doesn’t… there isn’t a pharmacy column.

189 00:15:57.440 00:16:04.450 Demilade Agboola: And the ordered data that does have pharmacy columns, a lot of them are missing over the last couple of months, so…

190 00:16:04.790 00:16:14.069 Demilade Agboola: we do have, like, incomplete data in that regard, but I have sent the sermon request, which is kind of what they were pressing for as merchants.

191 00:16:14.580 00:16:18.439 Demilade Agboola: So that, that should kind of suffice for that.

192 00:16:18.630 00:16:25.169 Demilade Agboola: And I have communicated the fact that it would be hard to figure out the pharmacy… specific to pharmacy right now.

193 00:16:25.410 00:16:26.160 Amber Lin: Okay.

194 00:16:26.380 00:16:33.029 Demilade Agboola: Mitesh, I reached out to Mitesh, on the group, he didn’t respond, I think I’ll just follow up with that as well.

195 00:16:33.030 00:16:33.730 Amber Lin: Okay.

196 00:16:34.070 00:16:40.300 Demilade Agboola: Acquisition… discounts, I should send a PR in today.

197 00:16:40.890 00:16:47.299 Demilade Agboola: But it’s, yeah, it’s in progress. I’m actually an apparent today.

198 00:16:49.040 00:16:53.909 Demilade Agboola: I believe… The other thing in progress.

199 00:16:55.640 00:16:56.600 Amber Lin: Sorry, this one?

200 00:16:58.900 00:17:00.849 Demilade Agboola: Yes, but…

201 00:17:01.760 00:17:06.639 Demilade Agboola: that’s… that’s in progress, but I’m also trying to gain, like, clarity on some of the things that I needed.

202 00:17:08.020 00:17:09.589 Demilade Agboola: So, there’s that.

203 00:17:10.750 00:17:11.500 Amber Lin: I see.

204 00:17:11.900 00:17:15.459 Amber Lin: And this, I know you’ve responded.

205 00:17:16.109 00:17:16.799 Demilade Agboola: Yeah.

206 00:17:16.800 00:17:21.349 Amber Lin: Should I just mark that as… By review.

207 00:17:22.550 00:17:26.009 Demilade Agboola: Yeah, or stakeholder review, to be fair. Yeah. Or stakeholder review.

208 00:17:27.020 00:17:30.199 Amber Lin: Okay, sounds good, and then that’s a bit cleaner.

209 00:17:30.490 00:17:36.570 Amber Lin: Attempt download… Well, just my… I’ll just mine.

210 00:17:36.570 00:17:39.559 Demilade Agboola: Oh yeah, so I’ll look at the QuickBooks stuff today.

211 00:17:39.750 00:17:48.959 Amber Lin: Yeah, ding… And then… Do we need to boot these out?

212 00:17:49.910 00:17:52.969 Amber Lin: I feel like this Mitesh ticket we can do next week.

213 00:17:54.170 00:17:54.930 Demilade Agboola: Yeah.

214 00:17:54.930 00:17:56.520 Amber Lin: It’s not possible this week.

215 00:17:56.660 00:17:58.619 Awaish Kumar: Yeah, motion dog can be next.

216 00:17:58.770 00:17:59.889 Amber Lin: Okay, great.

217 00:18:03.110 00:18:06.690 Amber Lin: Upcoming… Okay, that’s… that’s nicer.

218 00:18:07.560 00:18:08.240 Amber Lin: Mmm.

219 00:18:08.440 00:18:13.090 Amber Lin: And then this one, how big of a task is this?

220 00:18:23.010 00:18:27.329 Demilade Agboola: So these kind of tasks… so ideally, I would say, like, maybe 2 or 3 points.

221 00:18:27.710 00:18:35.049 Demilade Agboola: But the thing about it is always testing. Sometimes you might, you know, build it out, and then the numbers just don’t make any sense, so that…

222 00:18:35.520 00:18:36.599 Demilade Agboola: Yeah, but like…

223 00:18:36.600 00:18:38.710 Amber Lin: I’ll do on the higher end.

224 00:18:39.030 00:18:42.370 Amber Lin: Sounds like we don’t have time for that today.

225 00:18:43.430 00:18:49.520 Amber Lin: Because you have… That model… that model… That’s a message.

226 00:18:50.170 00:18:53.459 Amber Lin: And then that.

227 00:18:55.070 00:18:56.040 Amber Lin: Okay.

228 00:18:56.530 00:19:03.399 Amber Lin: So I’ll just… we’ll focus on finishing that. Alright, I think that’s everything. I’ll move the…

229 00:19:04.630 00:19:09.160 Amber Lin: This into next cycle… Do-doo…

230 00:19:14.980 00:19:19.460 Amber Lin: I’ll also move that… Next cycle…

231 00:19:24.940 00:19:25.970 Amber Lin: Alright.

232 00:19:26.520 00:19:37.060 Amber Lin: Then I want to do a quick retro, especially now that… We have… It’s a much smaller team.

233 00:19:37.670 00:19:44.229 Amber Lin: Do you guys know how many hours you’ve put in so far on this client this week?

234 00:19:51.720 00:19:53.300 Demilade Agboola: I’d say about 20.

235 00:19:53.620 00:19:54.620 Demilade Agboola: Okay. Thereabout.

236 00:19:57.170 00:19:58.880 Amber Lin: So…

237 00:19:58.880 00:20:00.960 Henry Zhao: Me not including…

238 00:20:02.160 00:20:07.870 Henry Zhao: I don’t… I don’t know what I mean by that. For me, about 13 hours. I guess because Monday was…

239 00:20:08.750 00:20:09.480 Henry Zhao: Holiday.

240 00:20:11.020 00:20:11.969 Amber Lin: I see.

241 00:20:16.380 00:20:19.299 Henry Zhao: Again, I feel like I’ve worked 40 hours already, but…

242 00:20:19.300 00:20:21.490 Amber Lin: Yeah, I know, it’s a lot.

243 00:20:22.580 00:20:30.229 Amber Lin: The first few weeks I was on Eden, I was like, I should acquit, this is so much.

244 00:20:31.090 00:20:32.310 Amber Lin: Let’s…

245 00:20:32.310 00:20:36.269 Henry Zhao: I love it, but, it just feels like I worked so many more hours.

246 00:20:36.460 00:20:43.809 Amber Lin: And also, count your hours in the meetings. It’s part of working on this client’s sleep meetings.

247 00:20:44.180 00:20:45.450 Amber Lin: Ours…

248 00:20:45.450 00:20:49.310 Henry Zhao: I just have some hours where I’m, like, just responding to messages, I don’t know which client it is, so I just put, like.

249 00:20:49.310 00:20:51.689 Amber Lin: Yeah, I see. You can estimate, like.

250 00:20:52.330 00:20:56.400 Amber Lin: 15 minutes at least per day, or something, and then add it up.

251 00:20:56.810 00:21:06.419 Amber Lin: So, I’ll say… And then, plus, does 20 hours include today, or is it gonna be more?

252 00:21:16.980 00:21:18.000 Amber Lin: Hey y’all.

253 00:21:20.900 00:21:22.820 Henry Zhao: And that was for you, Demolade, right? The question?

254 00:21:31.370 00:21:34.340 Amber Lin: Wow. Amish, how much… how many hours on you?

255 00:21:35.290 00:21:38.080 Amber Lin: And Henry, did you say 15 or 13? I forgot.

256 00:21:38.460 00:21:39.380 Henry Zhao: 13.

257 00:21:39.380 00:21:39.980 Amber Lin: Okay.

258 00:21:39.980 00:21:41.850 Awaish Kumar: Maybe… I don’t know, we have…

259 00:21:42.160 00:21:44.879 Awaish Kumar: I don’t remember, maybe 10, I must say.

260 00:21:45.940 00:21:49.299 Amber Lin: Okay, so far… small…

261 00:21:49.830 00:21:53.460 Awaish Kumar: Two days, and then… today,

262 00:21:53.820 00:21:58.390 Awaish Kumar: Yeah, it’ll be maybe less than, even less than an hour.

263 00:21:58.620 00:21:59.500 Amber Lin: Yeah, okay.

264 00:22:00.560 00:22:03.069 Amber Lin: That’s good. I think we’re still on track with art.

265 00:22:03.200 00:22:07.219 Amber Lin: allocated hours. Alright, I’m just gonna add…

266 00:22:07.440 00:22:15.039 Amber Lin: 4… 4 minutes, and then we can add in, okay, what are we… what did we do well? What do we need to improve?

267 00:22:15.500 00:22:20.320 Amber Lin: Bunches… We’ll have some time to do that.

268 00:22:24.380 00:22:28.589 Awaish Kumar: Okay, yeah, for Henry, like, we…

269 00:22:28.990 00:22:33.660 Awaish Kumar: We have quite a few hours. If you can push out Tableau today, maybe…

270 00:22:33.660 00:22:36.920 Henry Zhao: Yeah, I just need to find time.

271 00:22:37.680 00:22:40.019 Henry Zhao: Been really, really busy this week.

272 00:22:43.070 00:22:44.680 Amber Lin: Yeah, I know you were traveling.

273 00:22:44.790 00:22:55.939 Amber Lin: But I know, I think we said, Henry, you have 30 hours total, default in Eden, so I think we still have some room.

274 00:22:56.250 00:23:00.830 Amber Lin: Okay, I’ll set a timer, and then we can edit it.

275 00:23:04.900 00:23:07.459 Amber Lin: Demolade, can you see the board right now?

276 00:23:10.640 00:23:13.709 Amber Lin: Oh, there we go, I see you. I see your icon.

277 00:23:13.860 00:23:14.730 Amber Lin: Okay.

278 00:23:19.060 00:23:20.050 Amber Lin: Okay.

279 00:23:20.050 00:23:29.440 Awaish Kumar: I’m just concerned about our… deliverables this week, although I see we… all of us… Spent, like, almost,

280 00:23:30.180 00:23:31.840 Awaish Kumar: Ideal hours.

281 00:23:32.020 00:23:35.079 Awaish Kumar: But is that impacting our deliverable? Like…

282 00:23:35.330 00:23:41.430 Awaish Kumar: Do we have enough to say that we worked this week.

283 00:23:42.940 00:23:47.130 Amber Lin: I was gonna ask, because I’m writing the update.

284 00:23:47.640 00:23:48.110 Awaish Kumar: Yeah.

285 00:23:48.110 00:23:49.360 Amber Lin: Good, end of week.

286 00:23:49.760 00:23:53.990 Amber Lin: And then, let me check on the completed tickets so far…

287 00:23:58.290 00:24:01.540 Amber Lin: So, not much on the dashboarding side.

288 00:24:01.780 00:24:05.220 Amber Lin: Henry, I know you were working with Judge…

289 00:24:05.400 00:24:09.920 Amber Lin: So we can save an update on that side.

290 00:24:10.550 00:24:24.310 Amber Lin: And… this is also a shorter week, but… Yeah… Let’s write an update.

291 00:24:25.260 00:24:26.080 Amber Lin: This…

292 00:24:27.060 00:24:28.440 Awaish Kumar: Yeah, like…

293 00:24:28.440 00:24:28.889 Amber Lin: What do we do.

294 00:24:28.890 00:24:30.980 Awaish Kumar: Amber, if you need help, like.

295 00:24:31.120 00:24:34.029 Awaish Kumar: Maybe you can, like, similar to what…

296 00:24:34.460 00:24:36.379 Awaish Kumar: I did when you were out.

297 00:24:36.640 00:24:39.839 Awaish Kumar: like, we already have a Notion doc.

298 00:24:40.680 00:24:44.439 Awaish Kumar: Create an empty template, and everybody will fill their updates.

299 00:24:44.640 00:24:46.909 Awaish Kumar: And then you can just share it with client.

300 00:24:46.910 00:24:48.430 Amber Lin: Okay, Good.

301 00:24:48.630 00:24:56.990 Amber Lin: Yeah, I will copy… that. I mean, everybody is already here, so we might as well do it here.

302 00:24:58.030 00:24:59.630 Awaish Kumar: chaotic.

303 00:24:59.630 00:25:05.709 Amber Lin: all… Create a template while you guys… while you guys work. Fill in the stickies.

304 00:25:06.200 00:25:08.650 Amber Lin: Urgent…

305 00:32:54.500 00:33:04.320 Amber Lin: Any more updates to add to the project updates? Any… anything there on the customer I.O. side, or is that done? Can I… should I close that out?

306 00:33:08.510 00:33:10.440 Henry Zhao: Yeah, I think that’s done.

307 00:33:15.670 00:33:19.340 Amber Lin: Anything I should… Closer?

308 00:33:19.920 00:33:25.010 Amber Lin: Oh, the Zendesk ticket thing that we should… .

309 00:33:25.680 00:33:26.799 Awaish Kumar: Isn’t this done?

310 00:33:26.800 00:33:32.040 Amber Lin: Yeah, I want to add that as the… yeah, as one of the time items.

311 00:33:32.310 00:33:33.110 Amber Lin: Great.

312 00:33:34.050 00:33:35.990 Amber Lin: And we’ll close out.

313 00:33:43.110 00:33:44.039 Henry Zhao: Wait, where did it go?

314 00:33:51.080 00:33:51.860 Amber Lin: Okay.

315 00:33:52.740 00:33:55.559 Amber Lin: And then, do we know… oh, where did it go?

316 00:33:57.590 00:33:58.539 Henry Zhao: You wanna do?

317 00:33:59.460 00:34:00.140 Amber Lin: Hmm.

318 00:34:01.220 00:34:09.080 Amber Lin: No! Can someone CTRL-Z and get it back?

319 00:34:11.290 00:34:19.759 Amber Lin: That’s so scary. Marketing, tagging, and tracking site, do we know updates there? I know Andrew completed a few stuff, just wanna document that.

320 00:35:42.300 00:35:47.720 Amber Lin: Okay, awesome. I think that’s pretty much all the updates.

321 00:35:48.000 00:35:52.999 Amber Lin: Let’s look at the stickies we had for the last 5 minutes.

322 00:35:53.790 00:36:02.419 Amber Lin: Okay, server set tracking, session tracing, communication proving, great.

323 00:36:02.780 00:36:18.209 Amber Lin: Deliverables… I need to get something done. I think we don’t have, like, a big chunk of tests, because we didn’t push out, like, a fully new dashboard, but hopefully for 4 days, this is, like, three and a half days, this is okay.

324 00:36:18.320 00:36:21.510 Amber Lin: Preparation…

325 00:36:22.730 00:36:31.899 Amber Lin: Yeah, who made this sticky? Can you tell me more about it? Good communication, good understanding of what can be done possible right now?

326 00:36:32.750 00:36:34.440 Amber Lin: D-that one.

327 00:36:36.450 00:36:38.109 Amber Lin: It’s… this sticky.

328 00:36:40.680 00:36:41.390 Awaish Kumar: I don’t know.

329 00:36:43.840 00:36:45.299 Awaish Kumar: I read a lot of…

330 00:36:51.670 00:37:00.449 Demilade Agboola: Sorry, I was replying to, Danny right now. Okay, so for instance, the…

331 00:37:01.300 00:37:05.090 Demilade Agboola: We were working on the, actuals.

332 00:37:06.800 00:37:16.229 Demilade Agboola: And then we kind of ran into the whole issue with, like, QuickBooks, and sometimes I think just being able to communicate, like, this will push back whatever we’re expecting.

333 00:37:16.340 00:37:19.440 Demilade Agboola: Until we can solve this, like, explicitly saying that.

334 00:37:19.610 00:37:25.670 Demilade Agboola: So that, like, when we’re having, like, these retros, and it’s like, oh, did we deliver anything this week?

335 00:37:26.280 00:37:35.399 Demilade Agboola: It’s easier for us to be like, well, we did communicate that, you know, these things wouldn’t be delivered, so we have delivered what we could possibly deliver.

336 00:37:35.560 00:37:43.509 Demilade Agboola: Versus, you know, just, like, a better way of communicating, like, when things are happening, and that…

337 00:37:43.630 00:37:47.079 Demilade Agboola: And that would affect our deliverables.

338 00:37:47.480 00:37:50.430 Demilade Agboola: Because sometimes we say we’re going to get something done this week.

339 00:37:50.620 00:38:02.040 Demilade Agboola: Or, like, you know, get something out this week, and then sometimes we just can’t. Like, the things that we want to, Basque doesn’t have the data, and we need them to, you know, deliver.

340 00:38:02.040 00:38:02.500 Awaish Kumar: Good evening.

341 00:38:02.950 00:38:05.519 Demilade Agboola: Or, you know, things like that.

342 00:38:06.320 00:38:11.710 Awaish Kumar: Yeah, I agree, like, we already discussed that, like, whenever a new,

343 00:38:11.820 00:38:16.740 Awaish Kumar: task comes in, we will have spike tickets before we…

344 00:38:16.870 00:38:27.039 Awaish Kumar: start on ingestion, modeling. We are going to have a spike, and we are going to figure out, like, if it is possible to get this data.

345 00:38:27.240 00:38:31.510 Awaish Kumar: And if yes, then how? And then we are going to work.

346 00:38:31.870 00:38:33.339 Awaish Kumar: I’ll work on the tickets.

347 00:38:33.530 00:38:36.620 Awaish Kumar: Like, it will be ticketed out that way as well.

348 00:38:36.990 00:38:38.219 Awaish Kumar: In the future.

349 00:38:55.790 00:39:14.550 Amber Lin: Yeah. I remember Robert also wanted us to do a quick regroup. I know it’s great if he’s… probably we should do it more when he’s there next week, Monday, but just overall, this crew, do we understand what the… what do we think the client’s priorities are right now?

350 00:39:21.380 00:39:27.489 Awaish Kumar: Yeah, like… what I see, like, the finance thing, and the…

351 00:39:27.760 00:39:31.869 Awaish Kumar: Marketing them is what they are really pushing on.

352 00:39:31.980 00:39:34.340 Amber Lin: When the Josh Knight comes in.

353 00:39:34.850 00:39:40.080 Awaish Kumar: To push for… first off, for marketing and finance.

354 00:39:42.340 00:39:49.990 Amber Lin: Okay, Henry, what do you see? What… what occurs to you are the priorities? I want to get that from everyone.

355 00:39:50.720 00:39:55.649 Henry Zhao: Understanding the, user journey to get to purchase.

356 00:39:55.800 00:40:00.490 Henry Zhao: And which campaigns are… Responsible for the majority of revenue.

357 00:40:01.210 00:40:02.420 Henry Zhao: Sorry, that’s under marketing, yeah.

358 00:40:03.360 00:40:03.950 Amber Lin: Hmm.

359 00:40:11.390 00:40:21.449 Amber Lin: Yeah, I remember earlier this week, they were complaining about, oh, we have… we’re spending all this money, I think, on Catalyst, but we don’t have visibility. I think we are able to have that now.

360 00:40:21.450 00:40:22.040 Henry Zhao: Yeah.

361 00:40:22.260 00:40:26.670 Amber Lin: Right, did we reflect it anywhere in the… I want to reflect it in the updates.

362 00:40:27.700 00:40:29.839 Amber Lin: Because I think that’s pretty important to them.

363 00:40:30.980 00:40:33.750 Demilade Agboola: compressor clock?

364 00:40:35.390 00:40:37.300 Demilade Agboola: All visibility we have now.

365 00:40:37.880 00:40:39.550 Amber Lin: visibility into…

366 00:40:42.940 00:40:45.409 Amber Lin: Sorry, what was the last part? I missed it.

367 00:40:45.890 00:40:51.579 Demilade Agboola: And I’m asking, what visibility do we have access to? You mentioned that I was adding here the word you said.

368 00:40:52.000 00:40:53.130 Amber Lin: Oh, I think they…

369 00:40:53.490 00:41:11.419 Amber Lin: earlier this week on, I think on Tuesday, Cutter was saying, oh, we’re spending this… so much money on, I think, ads or catalysts that we don’t know, they just can’t see it, but I think now they are able to see it, because we… Andrew did something on the Google Tab Manager.

370 00:41:11.420 00:41:12.260 Awaish Kumar: side? No.

371 00:41:13.540 00:41:14.529 Awaish Kumar: Yeah, which was on the…

372 00:41:14.530 00:41:16.050 Amber Lin: Catalysts now, yeah.

373 00:41:16.940 00:41:21.919 Awaish Kumar: And for the cat list, the UTM tracking on catfish was,

374 00:41:22.170 00:41:25.450 Awaish Kumar: wasn’t working, and Andrew was able to…

375 00:41:25.730 00:41:30.949 Awaish Kumar: help him, with better attribution on the catalyst.

376 00:41:31.320 00:41:32.350 Awaish Kumar: Platform.

377 00:41:33.000 00:41:34.730 Awaish Kumar: We can put it in…

378 00:41:36.770 00:41:40.009 Awaish Kumar: I know, and you’re tagging and tracking.

379 00:41:40.540 00:41:41.220 Amber Lin: Yep.

380 00:41:42.890 00:41:53.530 Amber Lin: Tagging… How should I… how should I phrase it? Catalysts… Visibility… suspend…

381 00:41:54.860 00:42:03.469 Awaish Kumar: Like, better at… Metal attribution on casualists Yeah, for the… for the…

382 00:42:03.590 00:42:07.120 Awaish Kumar: And, and better attribution and real-time tracking.

383 00:42:08.880 00:42:11.760 Awaish Kumar: on the Catalyst platform.

384 00:42:20.960 00:42:27.809 Awaish Kumar: It’s not, okay, yeah. It will give us, like, the…

385 00:42:28.300 00:42:39.929 Awaish Kumar: how… the performance of the spend, like, if we are spend… spending, like, $15,000 on Catalyst, how much customers it will… how much orders it is bringing, right?

386 00:42:41.780 00:42:42.960 Amber Lin: I see.

387 00:42:43.650 00:42:44.900 Amber Lin: Awesome.

388 00:42:45.740 00:42:51.539 Amber Lin: Yeah. Demolati, what do you think is the client’s priorities?

389 00:42:54.480 00:43:03.670 Demilade Agboola: For me, I think it’s the two main priorities that you’ve already put them, basically. It appears to be the order journey. Order journey seems to be really important.

390 00:43:03.790 00:43:11.080 Demilade Agboola: Right now to, like, the Mitesh, Tracy, and Brad, and clearly the,

391 00:43:12.790 00:43:22.629 Demilade Agboola: the… what’s it called? Like, the finance part of things. I know Adams has talked about certain things as well, like LTV, CAC ratios.

392 00:43:22.880 00:43:24.050 Demilade Agboola: Oh, man.

393 00:43:24.460 00:43:28.449 Demilade Agboola: And then, I know, you know, I think those are, like, the major things.

394 00:43:28.960 00:43:35.450 Amber Lin: Yeah, and I think marketing… essentially is… and then plus ROAS…

395 00:43:35.980 00:43:38.750 Amber Lin: That they constantly ask us about. Okay.

396 00:43:39.320 00:43:43.209 Amber Lin: We’ll say that’s our understanding on their priorities.

397 00:43:43.580 00:43:51.449 Amber Lin: And then we can ask… let’s say this is our update. Okay, that’s all. Anything else you guys want to talk about?

398 00:43:54.580 00:43:55.840 Awaish Kumar: Nope.

399 00:43:55.840 00:43:56.600 Amber Lin: Okay.

400 00:43:57.420 00:44:02.510 Amber Lin: Sounds good. I will send the update later today, I’ll send it in our channel first to confirm.

401 00:44:02.880 00:44:03.429 Amber Lin: I’ll pause.

402 00:44:03.430 00:44:07.279 Awaish Kumar: Yeah, but this… this… this looks good, right? That was… I…

403 00:44:07.570 00:44:12.880 Awaish Kumar: That’s what I was asking, like, yeah, we have enough upgrades, and it is quite a… quite a few.

404 00:44:13.230 00:44:14.779 Amber Lin: Yeah. Because we won’t go.

405 00:44:15.170 00:44:16.210 Amber Lin: Other than that’ll be…

406 00:44:16.210 00:44:21.500 Awaish Kumar: Tableau… It doesn’t always have to be a Tableau dashboard, but it’s… it’s like…

407 00:44:22.110 00:44:30.200 Awaish Kumar: meaningful things which we have shipped for them to run the business more effectively. Yeah, and that’s what we did.

408 00:44:30.460 00:44:31.470 Amber Lin: I agree.

409 00:44:31.780 00:44:32.120 Demilade Agboola: I think…

410 00:44:32.120 00:44:38.409 Amber Lin: Yeah, we can do this every week. On Friday, we’ll just do a… A little bit more…

411 00:44:39.060 00:44:41.600 Amber Lin: Of a update.

412 00:44:42.410 00:44:44.920 Amber Lin: So we’re excited together every Friday.

413 00:44:46.060 00:44:51.699 Demilade Agboola: I want to ask, Henry, is it possible for us to add the affiliate spend?

414 00:44:51.850 00:44:57.419 Demilade Agboola: column to… To the snapshot data, like, that snapshot dashboard.

415 00:44:57.860 00:45:00.339 Henry Zhao: Sorry, add what’s been to the snapshot dashboard?

416 00:45:00.610 00:45:14.970 Demilade Agboola: The affiliate spend. I would do the PR for, like, adding all, like, the… all these different, like, sources beyond the offer, but, like, we try not to do any PRs on Fridays unless it’s, like, really, really urgent, so I think I’ll do that on Monday instead.

417 00:45:15.150 00:45:21.860 Demilade Agboola: But, like, if we can have a column for affiliate spend, and I would just… on Monday, I would have the PR…

418 00:45:22.470 00:45:26.390 Demilade Agboola: That includes… the different sources.

419 00:45:26.560 00:45:27.770 Henry Zhao: Where would you add this to?

420 00:45:28.340 00:45:35.499 Demilade Agboola: the dashboard, the snapshot dashboard, the product, product LTV ROS snapshot data… dashboard.

421 00:45:35.890 00:45:40.510 Henry Zhao: But I think we already have a column for that, right? Because that’s just coming from that… that one table.

422 00:45:42.440 00:45:48.130 Demilade Agboola: I believe I added it to the source, the same, like, products

423 00:45:49.130 00:45:57.250 Demilade Agboola: product, yes, coming from that one table. I added the offer, but I’m going to… instead of just having the offer, I’m just gonna have everything, like, the different.

424 00:45:57.250 00:45:58.249 Henry Zhao: Yeah, that would be great.

425 00:45:58.540 00:45:59.220 Demilade Agboola: Yeah.

426 00:46:00.500 00:46:06.319 Demilade Agboola: But, like, if we have some visibility to it, because I know they have mentioned that, you know, they can’t seem to see.

427 00:46:08.240 00:46:13.780 Henry Zhao: Kevin told me that right now it’s only the offer, and starting next month, it will be only Catalyst.

428 00:46:14.020 00:46:18.210 Henry Zhao: So, I might need to align on Wednesday with the greater team, because

429 00:46:18.340 00:46:22.479 Henry Zhao: That’s what Kevin is telling me, but it sounds like, from you guys, that’s not the only affiliate spend.

430 00:46:23.130 00:46:40.899 Demilade Agboola: Yeah, it’s not… and it also appears that, like, they want everything to align, which is what Mitesh said, and if in the other places we’re using, all the other sources, and we’re only using the offer in this one table, it’s not aligning, so…

431 00:46:42.950 00:46:48.890 Henry Zhao: Yeah, maybe I’ll ask, who should I ask to get the source of truth on what our affiliate spend is?

432 00:46:51.400 00:46:58.330 Demilade Agboola: I mean, Cotter would be a good place. I know Cotter and, Mitesh generally would be a good place to have that conversation.

433 00:47:01.200 00:47:03.609 Henry Zhao: Cutter told me to ask.

434 00:47:04.400 00:47:05.360 Awaish Kumar: Yeah, the

435 00:47:05.990 00:47:17.519 Awaish Kumar: So, like, so Demolarity’s ask is that on Tableau, can we include one more column, where it just says the offer, if it is for the offer, or is it for Catalyst?

436 00:47:17.860 00:47:19.510 Henry Zhao: We have that in the bottom right chart.

437 00:47:21.470 00:47:22.520 Demilade Agboola: Yes.

438 00:47:22.520 00:47:31.090 Awaish Kumar: You have in one of the charts I saw, it’s called… So, I don’t know which table it’s using, but whatever table it’s using, I actually…

439 00:47:33.330 00:47:50.820 Awaish Kumar: I think it’s Channel Spend Summary. I included everything there, and we have a column called Channel, which basically can tell you if it is at the… if it is from Google Ads, Facebook ads, the offer, MNTNY, whatever source it is, right?

440 00:47:51.030 00:47:56.899 Awaish Kumar: I… I think what they wanted us… Sorry, yeah, go ahead.

441 00:47:56.900 00:47:59.800 Demilade Agboola: I’ll try to interrupt, but, like, I’m talking about this dashboard.

442 00:47:59.910 00:48:03.219 Demilade Agboola: Because this is what they’ve been referring to, and I don’t think it’s there.

443 00:48:03.220 00:48:04.340 Henry Zhao: Yes, the screen.

444 00:48:04.670 00:48:05.949 Henry Zhao: I don’t know if you’re sharing.

445 00:48:06.640 00:48:09.600 Amber Lin: Oh, let me stop this whiteboard.

446 00:48:09.980 00:48:12.349 Amber Lin: Sure. There we go.

447 00:48:14.250 00:48:29.230 Demilade Agboola: Sorry, it’s just a quick share, but it’s… I believe it’s this dashboard. So this is the snapshot dashboard, where it allows us all the historical data. It uses only one source, so I have added the offer in here. So I would like.

448 00:48:29.230 00:48:31.960 Henry Zhao: I just added a column here for affiliate spend, right?

449 00:48:32.890 00:48:33.980 Demilade Agboola: What, pardon?

450 00:48:34.370 00:48:37.620 Henry Zhao: So just add a new column in this table for affiliate ad spend, is what you want.

451 00:48:38.060 00:48:43.519 Demilade Agboola: Yes, so at least they can have some visibility into what’s going on in that regard.

452 00:48:44.220 00:48:46.120 Henry Zhao: Okay, Amber, can you ticket this for me?

453 00:48:47.000 00:48:51.580 Amber Lin: Yeah, what should I call it?

454 00:48:52.880 00:48:55.490 Demilade Agboola: I don’t know, affiliate…

455 00:48:55.820 00:48:56.440 Amber Lin: Board.

456 00:48:56.440 00:48:58.459 Demilade Agboola: Yeah, I figured I’m calling in.

457 00:48:58.600 00:48:59.750 Demilade Agboola: Dashboard.

458 00:48:59.750 00:49:00.149 Awaish Kumar: I’ll be…

459 00:49:00.150 00:49:00.760 Demilade Agboola: drafts.

460 00:49:01.980 00:49:04.229 Amber Lin: Yeah, either column for this.

461 00:49:04.230 00:49:05.130 Awaish Kumar: dashboard.

462 00:49:05.970 00:49:11.090 Amber Lin: A snapshot dashboard, what is the… What is the column name?

463 00:49:11.900 00:49:13.070 Demilade Agboola: Affiliate spend.

464 00:49:13.070 00:49:15.430 Amber Lin: Affiliate spell.

465 00:49:16.070 00:49:16.600 Demilade Agboola: But right now.

466 00:49:16.600 00:49:18.349 Awaish Kumar: Jaminade, I… I want to…

467 00:49:18.460 00:49:24.940 Awaish Kumar: understand what, you want, this data to be here. Like, do we want to

468 00:49:25.080 00:49:35.599 Awaish Kumar: keep having channel column, which will basically tell us what channel it is, the offer, catalyst, whatever, or do you want to call it affiliate? Because

469 00:49:35.840 00:49:44.200 Awaish Kumar: Affiliate can still… affiliate is still a group, right? It can be on the offer, it can also be from the catalyst.

470 00:49:44.460 00:49:55.989 Awaish Kumar: So, do we want to still manage groups? Like, affiliate spend, North Dream spend, like Qatar was mentioning, or we just want to have channel, so…

471 00:49:56.260 00:49:59.689 Awaish Kumar: They can understand, like, the offer is an affiliate, or…

472 00:50:01.000 00:50:03.580 Demilade Agboola: I mean, yeah, I think we could…

473 00:50:04.070 00:50:11.110 Demilade Agboola: I, you know, to be fair, I think it’ll be up to them, but I think let’s first do the affiliate spend as an aggregation of all the different channels.

474 00:50:11.370 00:50:30.140 Demilade Agboola: And then, if they want it broken down further, that would be a smaller change. Because right now, the issue is they rely on this dashboard heavily, because this… so the problem is dashboards, the numbers change over time, but this dashboard is built in such a way that it’s frozen. Things don’t change.

475 00:50:30.140 00:50:30.790 Awaish Kumar: Yep.

476 00:50:30.790 00:50:34.150 Demilade Agboola: This is what they use to say, hey, we’re doing well, or we’re doing badly.

477 00:50:34.440 00:50:40.889 Demilade Agboola: But right now, they don’t have the full idea of how much they’re spending, because the only thing they have is ad spend.

478 00:50:41.050 00:50:41.620 Demilade Agboola: So it doesn’t.

479 00:50:41.620 00:50:52.050 Awaish Kumar: My question right now just is that if you are saying affiliate, then you will be managing this grouping, because the…

480 00:50:52.230 00:51:00.659 Awaish Kumar: like, if you’re using the channel span summary or whatever, it will have the source names, right? Then you will be grouping them together as…

481 00:51:01.050 00:51:06.459 Awaish Kumar: If the channel is the offer and catalyst, then mark it as the affiliate, right?

482 00:51:07.140 00:51:16.480 Demilade Agboola: Yes, but actually, right now, it’s using a different model, and in that model, I… I have added the offer specifically only to this.

483 00:51:16.870 00:51:21.339 Demilade Agboola: So, what I’m saying now, let’s just offer, like, that table…

484 00:51:21.840 00:51:28.559 Demilade Agboola: in, like, just add that column as the affiliate spend now, but on Monday, because I don’t want to make it pure today, on Monday…

485 00:51:28.560 00:51:29.799 Awaish Kumar: Okay, I understand, understand.

486 00:51:29.800 00:51:34.819 Demilade Agboola: Yeah, I would add everything together as just one column, so it would… we can just use that, yeah.

487 00:51:36.600 00:51:44.630 Awaish Kumar: Okay, so we have… we want two tickets here, one for Damilade, one for Henry. Damilade is going to work on Monday.

488 00:51:44.810 00:51:47.819 Awaish Kumar: And where he will push the new data in that

489 00:51:48.070 00:51:59.429 Awaish Kumar: in the model… the model change will be… will happen on Monday, but Henry is going to work today, so we can add that in our updates, that we made a change in our Tableau dashboard.

490 00:51:59.560 00:52:07.000 Awaish Kumar: And that change is just including a column here in this table of nuanced.

491 00:52:07.000 00:52:08.780 Amber Lin: Sounds good.

492 00:52:08.780 00:52:19.789 Demilade Agboola: the offer available as affiliate spend, but other sources will be added on Monday. I think that we… because when Mitesh was saying that they don’t have any data for snapshots.

493 00:52:19.950 00:52:28.459 Demilade Agboola: or, like, this is what they’re referring to. So at least let’s be able to address part of it and say, hey, the rest of it will be available on Monday.

494 00:52:28.740 00:52:40.839 Amber Lin: Yeah, okay, so as an extra update, I would say that we’ll make sure we’re adding another column in ROAS, but we’ll push additional changes on Monday.

495 00:52:42.060 00:52:47.470 Demilade Agboola: Exactly. The rest snapshot has some updates, Ben, from the offer, but additional sources will be updated on that.

496 00:52:47.500 00:52:49.750 Amber Lin: Okay, sounds good.

497 00:52:50.450 00:52:51.190 Henry Zhao: Also, I wonder…

498 00:52:51.940 00:53:02.390 Henry Zhao: I want to align real quick on the team, is there anybody else that’s publishing changes to Tableau? I just want to make sure, because I’m developing on Tableau Desktop, so when I publish stuff, I want to make sure I’m not canceling out anyone else’s work.

499 00:53:03.080 00:53:06.109 Amber Lin: I don’t think so. No, I don’t think so.

500 00:53:06.110 00:53:06.560 Awaish Kumar: No.

501 00:53:06.560 00:53:10.699 Demilade Agboola: Not right now. I just look around, but I don’t publish, I don’t do anything.

502 00:53:10.700 00:53:15.510 Henry Zhao: Okay, good. Okay, just wanted to make sure, because if somebody else is doing it, then I just want to make sure that…

503 00:53:15.780 00:53:18.909 Henry Zhao: We communicate on whoever makes an update, so that we can update.

504 00:53:18.910 00:53:19.300 Amber Lin: Take the sheet.

505 00:53:19.300 00:53:20.430 Henry Zhao: on our desktop.

506 00:53:20.890 00:53:22.850 Henry Zhao: Just something to keep in mind for the future.

507 00:53:25.430 00:53:26.290 Awaish Kumar: Okay.

508 00:53:26.900 00:53:28.720 Amber Lin: Alright, sounds good.

509 00:53:29.150 00:53:31.840 Amber Lin: Thanks, everybody. That was protective.

510 00:53:32.410 00:53:34.330 Amber Lin: I’ll send the update later.

511 00:53:36.790 00:53:37.689 Henry Zhao: Okay, thanks.

512 00:53:37.870 00:53:39.190 Amber Lin: Alright, thank you!

513 00:53:39.950 00:53:40.720 Amber Lin: Bye.