Meeting Title: Uttam Kumaran’s Personal Meeting Room Date: 2025-04-08 Meeting participants: Luke Daque, Uttam Kumaran, Demilade Agboola, Awaish Kumar
WEBVTT
1 00:00:40.920 ⇒ 00:00:42.000 Uttam Kumaran: Hey, Ryan.
2 00:00:44.010 ⇒ 00:00:45.580 Luke Daque: Hitam. Good morning.
3 00:00:45.580 ⇒ 00:00:47.089 Uttam Kumaran: Hey! How are you?
4 00:00:47.940 ⇒ 00:00:49.409 Luke Daque: Doing well, how are you.
5 00:00:49.410 ⇒ 00:00:50.230 Uttam Kumaran: Good.
6 00:00:59.930 ⇒ 00:01:03.749 Luke Daque: What time is it there now? Is it like 7 in the morning?
7 00:01:03.750 ⇒ 00:01:05.940 Uttam Kumaran: No, it’s 9, 20.
8 00:01:07.720 ⇒ 00:01:09.530 Luke Daque: Oh, yeah, right?
9 00:01:09.960 ⇒ 00:01:11.832 Uttam Kumaran: It’s not too. It’s not too late.
10 00:01:12.590 ⇒ 00:01:17.430 Uttam Kumaran: although, after traveling I just got a little bit sick, so I’m just trying to like not.
11 00:01:18.005 ⇒ 00:01:20.310 Luke Daque: And I’m like that sucks.
12 00:01:20.620 ⇒ 00:01:21.859 Luke Daque: Where’d you go?
13 00:01:25.134 ⇒ 00:01:30.510 Uttam Kumaran: I just went to San Francisco to see my parents.
14 00:01:31.270 ⇒ 00:01:32.280 Luke Daque: Oh, cool!
15 00:01:34.170 ⇒ 00:01:35.060 Luke Daque: Nice!
16 00:01:35.440 ⇒ 00:01:36.300 Uttam Kumaran: Yeah.
17 00:01:48.310 ⇒ 00:01:52.210 Uttam Kumaran: yeah, I guess I wanna just have this time. Cause I’m gonna work on some data stuff.
18 00:01:52.820 ⇒ 00:01:58.099 Uttam Kumaran: Guess people can come in here and chill and and get some stuff done.
19 00:01:58.100 ⇒ 00:01:58.840 Luke Daque: Cool.
20 00:01:58.840 ⇒ 00:02:00.279 Uttam Kumaran: Yeah, what are you working on.
21 00:02:01.540 ⇒ 00:02:09.440 Luke Daque: Still. Still, mostly the pool parts. Data accuracy thing.
22 00:02:09.610 ⇒ 00:02:12.519 Luke Daque: Okay? Yeah. I saw, do you want me to review any of that stuff.
23 00:02:12.990 ⇒ 00:02:18.099 Luke Daque: Sure we can. We can. I can show you what I have so far.
24 00:02:18.370 ⇒ 00:02:20.110 Uttam Kumaran: Okay. I’ll do that.
25 00:02:21.010 ⇒ 00:02:22.459 Luke Daque: Let me share my screen.
26 00:02:24.960 ⇒ 00:02:30.800 Luke Daque: I thought we had already had this before when we were doing the data validation. But yeah, I can’t.
27 00:02:30.950 ⇒ 00:02:36.980 Luke Daque: I was like way, too long ago. I can’t remember the details.
28 00:02:39.330 ⇒ 00:02:42.899 Luke Daque: It’s just like funny, like
29 00:02:43.150 ⇒ 00:02:49.530 Luke Daque: they didn’t. They weren’t like talking to us for a couple of months, and then suddenly, they had, like
30 00:02:50.050 ⇒ 00:02:55.720 Luke Daque: they were not happy with the the report, or like the dashboard, specifically
31 00:02:59.250 ⇒ 00:03:00.170 Luke Daque: so.
32 00:03:00.800 ⇒ 00:03:02.470 Luke Daque: Can you see my screen? By the way.
33 00:03:06.190 ⇒ 00:03:07.000 Uttam Kumaran: Yes, I can.
34 00:03:09.760 ⇒ 00:03:16.309 Luke Daque: So now we we are like talking with. I I mean, yeah, have calls and meetings with Kim.
35 00:03:16.480 ⇒ 00:03:16.910 Uttam Kumaran: Okay.
36 00:03:17.332 ⇒ 00:03:24.940 Luke Daque: So she can like verify the numbers. So Kim basically showed us like what she what number she’s
37 00:03:25.130 ⇒ 00:03:30.399 Luke Daque: getting like if she do does it manually, and this is only for shopify.
38 00:03:30.730 ⇒ 00:03:33.920 Luke Daque: For instance, it’s like, that’s what she’s like more.
39 00:03:34.620 ⇒ 00:03:37.280 Luke Daque: and she knows shopify more than anything else.
40 00:03:37.820 ⇒ 00:03:47.270 Luke Daque: So I did compare this with our real numbers, and so far we are like pretty much the same for sales and for.
41 00:03:47.440 ⇒ 00:03:48.290 Uttam Kumaran: You know most.
42 00:03:48.290 ⇒ 00:03:48.720 Luke Daque: It’s most.
43 00:03:48.720 ⇒ 00:03:51.029 Uttam Kumaran: Likely gonna be like some sort of date
44 00:03:51.290 ⇒ 00:03:54.210 Uttam Kumaran: issue, or like something small like that. I feel like.
45 00:03:54.210 ⇒ 00:03:56.790 Luke Daque: Yeah, like time zone or something.
46 00:03:56.960 ⇒ 00:03:57.390 Uttam Kumaran: Yeah.
47 00:03:57.786 ⇒ 00:04:09.299 Luke Daque: Yeah. Cause maybe if she directly exports this from shopify, maybe it’s Utc or something. And then I think we we actually like convert this to Eastern time
48 00:04:09.430 ⇒ 00:04:11.020 Luke Daque: or something. But yeah,
49 00:04:12.770 ⇒ 00:04:19.370 Luke Daque: so yeah, even Google ads, Meta ads, Facebook ads, it’s the same the only thing we don’t have.
50 00:04:20.190 ⇒ 00:04:25.580 Luke Daque: I’m currently a Cj and impact these.
51 00:04:25.740 ⇒ 00:04:29.620 Uttam Kumaran: And we have. But we have Cj and impact coming in right? But not like
52 00:04:30.790 ⇒ 00:04:32.220 Uttam Kumaran: you saw that as a source right.
53 00:04:32.220 ⇒ 00:04:40.589 Luke Daque: No, I don’t think I we wait. So if we look at one marketing performance.
54 00:04:42.320 ⇒ 00:04:43.710 Luke Daque: let’s just move the other one.
55 00:04:46.280 ⇒ 00:04:54.940 Luke Daque: So we have we have Google, Facebook, ads, Google ads.
56 00:04:55.530 ⇒ 00:04:59.580 Luke Daque: Google adwords, attentive which is the SMS.
57 00:04:59.580 ⇒ 00:05:01.200 Uttam Kumaran: Affiliates. Cj.
58 00:05:01.200 ⇒ 00:05:01.780 Luke Daque: Oh!
59 00:05:02.840 ⇒ 00:05:03.840 Luke Daque: Or one of them.
60 00:05:05.100 ⇒ 00:05:05.960 Uttam Kumaran: Yeah.
61 00:05:07.200 ⇒ 00:05:08.370 Luke Daque: 3 years.
62 00:05:08.510 ⇒ 00:05:10.980 Luke Daque: Let me guys just check.
63 00:05:12.160 ⇒ 00:05:16.440 Luke Daque: What do we have for minutes? This is, oh, yeah. Next. Cj.
64 00:05:20.490 ⇒ 00:05:25.890 Luke Daque: so I think this is this might be not up to date. We have. Cj.
65 00:05:26.400 ⇒ 00:05:28.970 Luke Daque: is this, what’s this coming from? 5 grand with.
66 00:05:30.710 ⇒ 00:05:32.259 Uttam Kumaran: Yeah. Check. In Fivetran.
67 00:05:39.950 ⇒ 00:05:41.909 Luke Daque: Because we are not getting anything.
68 00:05:43.000 ⇒ 00:05:44.550 Luke Daque: Or maybe I just didn’t.
69 00:05:45.670 ⇒ 00:05:54.340 Luke Daque: Yeah, like, we’re not getting any attentive. This is like just an ex a copy pasted Csv format of the query, I did.
70 00:05:56.180 ⇒ 00:05:58.400 Luke Daque: There’s affiliates, I guess this.
71 00:06:04.640 ⇒ 00:06:09.670 Luke Daque: Yeah, we only have like April 5, but not for the other
72 00:06:13.310 ⇒ 00:06:15.900 Luke Daque: condition we’d like somewhere from there.
73 00:06:18.710 ⇒ 00:06:23.990 Luke Daque: So it looks like we would. Yeah, it should be correct. Then in the.
74 00:06:25.900 ⇒ 00:06:30.799 Luke Daque: it’s like, yeah, it’s the only it’s only April 5, where we had, we have data
75 00:06:31.420 ⇒ 00:06:34.080 Luke Daque: and camps, or even like smaller.
76 00:06:38.090 ⇒ 00:06:39.140 Uttam Kumaran: Hmm.
77 00:06:40.090 ⇒ 00:06:42.180 Luke Daque: Yeah, we should be good with Cj
78 00:06:43.197 ⇒ 00:06:46.359 Luke Daque: impact and post pilot, I think.
79 00:06:46.980 ⇒ 00:06:48.100 Luke Daque: Don’t have.
80 00:06:48.840 ⇒ 00:06:54.360 Uttam Kumaran: But we don’t have. Yeah, we have post pilot, but we don’t have the. We don’t have like the cost right.
81 00:07:00.070 ⇒ 00:07:00.900 Luke Daque: Like post.
82 00:07:00.900 ⇒ 00:07:02.169 Uttam Kumaran: Pilot fees.
83 00:07:09.050 ⇒ 00:07:12.920 Luke Daque: Let’s time for you, oops.
84 00:07:26.290 ⇒ 00:07:28.089 Luke Daque: We have conversions.
85 00:07:37.880 ⇒ 00:07:43.250 Luke Daque: and it’s alright. So let me see, combine.
86 00:07:43.540 ⇒ 00:07:45.789 Luke Daque: So yeah, it’s in direct mail, then
87 00:07:51.630 ⇒ 00:07:52.820 Luke Daque: 5 degrees.
88 00:07:54.070 ⇒ 00:07:57.789 Luke Daque: Let me do that now, just direct mail.
89 00:08:01.940 ⇒ 00:08:06.910 Luke Daque: It looks like we don’t have any direct mail here from the query
90 00:08:11.920 ⇒ 00:08:14.740 Luke Daque: emails, postpart conversions.
91 00:08:27.580 ⇒ 00:08:33.240 Luke Daque: Yeah, we don’t have the cost. This is what, yeah, we only oh, we should have cost actually.
92 00:08:35.460 ⇒ 00:08:41.289 Uttam Kumaran: Yeah, we. I think so, too. And then so.
93 00:08:41.429 ⇒ 00:08:49.419 Luke Daque: We should have costs here here. But it looks like we’re not getting any data from March to April.
94 00:08:49.549 ⇒ 00:08:51.909 Luke Daque: because we’re not getting it from the query.
95 00:08:52.649 ⇒ 00:08:55.019 Luke Daque: we should have seen direct mail here.
96 00:08:56.620 ⇒ 00:08:59.350 Luke Daque: One of the platforms.
97 00:09:02.400 ⇒ 00:09:04.320 Uttam Kumaran: Yeah, you may have to check.
98 00:09:05.620 ⇒ 00:09:08.770 Uttam Kumaran: Well, you may have to check where the email is coming from.
99 00:09:13.640 ⇒ 00:09:16.899 Luke Daque: Like from the ones that Kim is showing. I guess.
100 00:09:16.900 ⇒ 00:09:17.470 Uttam Kumaran: Yeah.
101 00:09:18.130 ⇒ 00:09:24.670 Uttam Kumaran: But I guess, like, what percentage off is that I guess that’s not a ton of money.
102 00:09:24.670 ⇒ 00:09:26.640 Luke Daque: The total. You mean the total.
103 00:09:27.770 ⇒ 00:09:29.040 Uttam Kumaran: Yeah, like, these aren’t.
104 00:09:29.040 ⇒ 00:09:34.320 Luke Daque: It should be. Yeah, it shouldn’t be too big, like if you don’t include Amazon, because
105 00:09:38.650 ⇒ 00:09:49.190 Luke Daque: because the the thing I also know is, Kim didn’t include Amazon on ads on her original shopify marketing.
106 00:09:49.350 ⇒ 00:09:54.570 Luke Daque: So I was thinking maybe Amazon ads would be attributed to Amazon sales.
107 00:09:54.830 ⇒ 00:09:57.289 Luke Daque: and the rest would be like, shopify.
108 00:09:58.190 ⇒ 00:10:02.500 Luke Daque: Cause? Yeah, the the difference basically is like 5,000
109 00:10:02.740 ⇒ 00:10:07.089 Luke Daque: or like 4,000. It was just like pretty close to the Amazon ads number
110 00:10:13.190 ⇒ 00:10:19.250 Luke Daque: just in our combined marketing. If you go back, if we go back here, Dweller hobby
111 00:10:25.439 ⇒ 00:10:36.860 Luke Daque: combined marketing performance, we are actually adding Amazon ads right.
112 00:10:37.180 ⇒ 00:10:44.420 Luke Daque: and looks like Kim is not including this in her report. So this is this is the copy of her report, and this is like.
113 00:10:44.420 ⇒ 00:10:45.020 Uttam Kumaran: Oh!
114 00:10:45.020 ⇒ 00:10:45.679 Luke Daque: Got it.
115 00:10:46.420 ⇒ 00:10:48.890 Luke Daque: Yeah, she doesn’t have any Amazon ads.
116 00:10:48.890 ⇒ 00:10:50.890 Uttam Kumaran: So maybe worth tagging her in there?
117 00:10:51.330 ⇒ 00:10:56.350 Uttam Kumaran: Or or maybe we’re asking a comment, saying, Are are you guys bringing in Amazon advertising.
118 00:10:57.660 ⇒ 00:11:02.649 Luke Daque: Yeah, that I? Yeah, we already I already mentioned that to her. So I’m just
119 00:11:02.910 ⇒ 00:11:07.239 Luke Daque: 2025. So, yeah, that marketing, I think we should be good if
120 00:11:07.470 ⇒ 00:11:12.580 Luke Daque: Kim confirms, like whether Amazon ads should or shouldn’t be included.
121 00:11:12.920 ⇒ 00:11:16.819 Luke Daque: because if it’s not included, I can just like attribute that somewhere else.
122 00:11:18.002 ⇒ 00:11:21.520 Luke Daque: Maybe to Amazon selling platform.
123 00:11:23.103 ⇒ 00:11:24.250 Luke Daque: But yeah.
124 00:11:25.310 ⇒ 00:11:25.910 Uttam Kumaran: Okay.
125 00:11:26.440 ⇒ 00:11:29.340 Luke Daque: The other thing. Cogs is way different.
126 00:11:30.405 ⇒ 00:11:33.169 Luke Daque: It’s so. It looks like.
127 00:11:34.370 ⇒ 00:11:41.199 Luke Daque: yeah, we’re we’re a lot higher for like each day, like around 30 to
128 00:11:42.040 ⇒ 00:11:45.350 Luke Daque: 20 to 40% higher for each day.
129 00:11:45.950 ⇒ 00:11:46.630 Uttam Kumaran: Okay.
130 00:11:48.049 ⇒ 00:11:53.889 Luke Daque: And it looks like Kim says, here it’s like coming from shopify itself
131 00:11:54.782 ⇒ 00:11:57.680 Luke Daque: and we are getting the unleashed.
132 00:11:57.680 ⇒ 00:11:58.600 Uttam Kumaran: Yeah. The so.
133 00:11:58.600 ⇒ 00:11:59.350 Luke Daque: That’s the.
134 00:11:59.350 ⇒ 00:12:03.949 Uttam Kumaran: The question is like, can you put a comment unleashed is what we were told as like the source of truth.
135 00:12:04.530 ⇒ 00:12:07.309 Luke Daque: Yeah, that. Yeah. I already added that as well.
136 00:12:07.510 ⇒ 00:12:11.249 Luke Daque: So yeah, this is something we need to confirm or verify with him.
137 00:12:11.600 ⇒ 00:12:17.160 Luke Daque: because we are getting it from unleashed cheese, getting it from somewhere else. I guess shopify
138 00:12:20.480 ⇒ 00:12:25.627 Luke Daque: shipping cost is where it gets weird. Because
139 00:12:27.100 ⇒ 00:12:35.169 Luke Daque: she said. Here it’s just coming from ship station, but she’s also like waiting for Chuck. So maybe she’s just getting everything from Chuck
140 00:12:35.910 ⇒ 00:12:42.560 Luke Daque: and ours is like from everything from trip station. Ltl units premise. And there’s we also even have, like
141 00:12:43.780 ⇒ 00:12:46.549 Luke Daque: the Florida shipping cost calculation
142 00:12:46.930 ⇒ 00:12:50.200 Luke Daque: where it’s different for zip codes that are
143 00:12:51.070 ⇒ 00:12:58.179 Luke Daque: like Florida related something like that. So, but we are still like a lot lower than what she has.
144 00:12:59.891 ⇒ 00:13:06.220 Luke Daque: like 26% lower. And this doesn’t even include 3 days fun
145 00:13:06.420 ⇒ 00:13:09.210 Luke Daque: from April 14 to 6. So
146 00:13:09.690 ⇒ 00:13:12.510 Luke Daque: this is also something I’ll have to check with her on that.
147 00:13:13.190 ⇒ 00:13:13.739 Uttam Kumaran: Yeah, I mean.
148 00:13:14.140 ⇒ 00:13:16.920 Luke Daque: Include chuck on on this.
149 00:13:17.570 ⇒ 00:13:22.760 Uttam Kumaran: Yeah, I mean, because, well, what’s gonna happen is like, we’re not. Gonna not all these have been shipped yet.
150 00:13:24.481 ⇒ 00:13:27.640 Uttam Kumaran: And we’re we’re gonna like we’re gonna be estimating.
151 00:13:28.320 ⇒ 00:13:31.439 Uttam Kumaran: We’re estimating the shipping cost until it comes from ship station.
152 00:13:34.040 ⇒ 00:13:34.730 Uttam Kumaran: See what I mean.
153 00:13:34.730 ⇒ 00:13:35.460 Luke Daque: Right?
154 00:13:35.710 ⇒ 00:13:36.480 Luke Daque: Right?
155 00:13:37.280 ⇒ 00:13:43.290 Luke Daque: So that’s also like, why we have like 0 cost here for 5 and 6 you put 5 and 6, because, like.
156 00:13:43.290 ⇒ 00:13:44.110 Uttam Kumaran: Yeah.
157 00:13:44.680 ⇒ 00:13:46.430 Luke Daque: And shift that most likely.
158 00:13:49.140 ⇒ 00:13:55.749 Uttam Kumaran: So how are you? So I would say, sort of prioritize these like, I mean, I would say, the impact post pilot.
159 00:13:56.050 ⇒ 00:14:01.379 Uttam Kumaran: Cj Criteo, we need to just get that data in.
160 00:14:02.690 ⇒ 00:14:06.469 Uttam Kumaran: But this is where again, I think those are just tickets to go investigate.
161 00:14:07.240 ⇒ 00:14:08.370 Luke Daque: Yeah, right.
162 00:14:08.938 ⇒ 00:14:15.590 Uttam Kumaran: I think that the biggest biggest item is to go after Amazon ads.
163 00:14:16.710 ⇒ 00:14:21.710 Uttam Kumaran: just basically you do it in. Do it in order of like, How off we are so Amazon ads.
164 00:14:21.870 ⇒ 00:14:24.879 Uttam Kumaran: And then also looking at cogs, basically.
165 00:14:25.710 ⇒ 00:14:27.770 Luke Daque: Right, makes sense.
166 00:14:28.390 ⇒ 00:14:36.120 Uttam Kumaran: Another thing is like as you’re doing this, we can start to once this gets done, we can start to add tests and stuff. So this is a good exercise.
167 00:14:37.110 ⇒ 00:14:37.810 Luke Daque: Yeah.
168 00:14:41.770 ⇒ 00:14:42.580 Luke Daque: cool.
169 00:14:43.333 ⇒ 00:14:50.960 Luke Daque: So that’s for shopify. Then we have Amazon, which is also quite different.
170 00:14:51.120 ⇒ 00:14:56.389 Luke Daque: especially the fees ordered sales were pretty close, I would say, but
171 00:14:56.960 ⇒ 00:15:00.627 Luke Daque: this is gross sales, 175,000. But if we
172 00:15:01.260 ⇒ 00:15:11.109 Luke Daque: if it’s like minus the refund and the discounts which, like, for some reason, is 0 here. This is also something I’ll have to look into today. Why, it’s showing 0
173 00:15:11.480 ⇒ 00:15:16.180 Luke Daque: But yeah, if we deduct discounts and refunds. It should be like
174 00:15:16.510 ⇒ 00:15:19.220 Luke Daque: closer to what they have for March.
175 00:15:19.440 ⇒ 00:15:20.030 Uttam Kumaran: Okay.
176 00:15:20.030 ⇒ 00:15:25.610 Luke Daque: 1 57, I think if we, if we just directly minus 12,000, that’s like 1, 60.
177 00:15:25.760 ⇒ 00:15:27.330 Uttam Kumaran: Okay, 1, 62.
178 00:15:29.020 ⇒ 00:15:32.479 Luke Daque: But the yeah Amazon fees
179 00:15:33.280 ⇒ 00:15:39.500 Luke Daque: looks like they have the cost of doing business storage fees and Fba fees and ad spend.
180 00:15:41.130 ⇒ 00:15:48.249 Luke Daque: So ad spend is probably Amazon ads. But this is something I’ll have to confirm with Kim.
181 00:15:48.360 ⇒ 00:15:50.349 Luke Daque: See? Similar to like.
182 00:15:50.490 ⇒ 00:15:53.340 Luke Daque: Yes, sir, it’s not in shopify
183 00:15:53.860 ⇒ 00:15:56.149 Luke Daque: their Amazon ad. So maybe this is
184 00:15:56.510 ⇒ 00:16:00.839 Luke Daque: attributed to Amazon orders only like the Amazon ads.
185 00:16:02.030 ⇒ 00:16:12.260 Luke Daque: And what we don’t have here is the cost of doing business and storage fees, because the current fees that we have in our data model is just the Fba fees.
186 00:16:14.720 ⇒ 00:16:17.129 Luke Daque: Yeah, if you if you look at the.
187 00:16:17.790 ⇒ 00:16:19.729 Uttam Kumaran: We don’t. But we I thought we do have that.
188 00:16:22.810 ⇒ 00:16:27.270 Luke Daque: And double check.
189 00:16:27.370 ⇒ 00:16:34.540 Luke Daque: Yeah, we’re only getting we have selling fees and Fba fees. I guess selling fees is
190 00:16:37.380 ⇒ 00:16:39.909 Luke Daque: this either of these?
191 00:16:40.530 ⇒ 00:16:42.470 Luke Daque: And then we have Fba fees.
192 00:16:42.580 ⇒ 00:16:45.099 Luke Daque: I’m not sure how to differentiate
193 00:16:45.450 ⇒ 00:16:48.210 Luke Daque: storage fees and cost of doing business.
194 00:16:48.430 ⇒ 00:16:52.070 Luke Daque: We only have selling fees and Fba fees at the moment.
195 00:16:57.150 ⇒ 00:16:59.679 Uttam Kumaran: Wait, but that’s those are the only feeds right?
196 00:16:59.890 ⇒ 00:17:01.780 Uttam Kumaran: Or what other fees are you talking about?
197 00:17:02.590 ⇒ 00:17:05.790 Luke Daque: In in her spreadsheet. It says.
198 00:17:05.790 ⇒ 00:17:07.790 Uttam Kumaran: Of doing business. Oh.
199 00:17:08.359 ⇒ 00:17:08.889 Luke Daque: You know.
200 00:17:08.890 ⇒ 00:17:11.660 Uttam Kumaran: I would ask her like what that means. I don’t know what that means.
201 00:17:11.660 ⇒ 00:17:16.690 Luke Daque: Yeah, yeah, because selling fees would be probably storage fees. Right?
202 00:17:17.119 ⇒ 00:17:17.749 Uttam Kumaran: Yes.
203 00:17:17.750 ⇒ 00:17:20.319 Luke Daque: But yeah, I can. I can just verify with her as well.
204 00:17:20.470 ⇒ 00:17:30.139 Luke Daque: But yeah, I already took note of that. We do have FDA fees and ads would probably be just Amazon ads. But this is also something I would have to confirm.
205 00:17:30.560 ⇒ 00:17:31.180 Uttam Kumaran: Okay.
206 00:17:33.190 ⇒ 00:17:37.379 Luke Daque: But yeah, this is like the the huge disparity, because, like, she’s
207 00:17:38.030 ⇒ 00:17:42.290 Luke Daque: looks like there’s like 50,000 in total. And
208 00:17:43.250 ⇒ 00:17:51.990 Luke Daque: we only have like 200 for the fees and another 5,000 for the ads marketing.
209 00:17:53.430 ⇒ 00:17:55.509 Luke Daque: So yeah, that’s way off.
210 00:17:56.730 ⇒ 00:18:03.400 Luke Daque: And then cogs 56,000. We are close. We are at 61, we’re a bit higher.
211 00:18:03.560 ⇒ 00:18:09.450 Luke Daque: That’s that’s actually a lot higher around 10% higher.
212 00:18:16.150 ⇒ 00:18:20.230 Luke Daque: So yeah. And then cost F of Fbm.
213 00:18:20.380 ⇒ 00:18:23.359 Luke Daque: are you familiar with what Fdm means here?
214 00:18:24.530 ⇒ 00:18:31.149 Luke Daque: Fbm. Ship orders. This is different from Fba, right? Like fulfilled by Amazon.
215 00:18:34.970 ⇒ 00:18:39.059 Uttam Kumaran: Fpm is fulfilled by merchant. So Fbm. There’s a
216 00:18:41.340 ⇒ 00:18:45.129 Uttam Kumaran: I don’t. I don’t know what the Fbm fees are.
217 00:18:45.510 ⇒ 00:18:51.530 Luke Daque: Like, I’m just googling this. So yeah, they’re maybe yeah.
218 00:18:51.530 ⇒ 00:18:58.409 Uttam Kumaran: There is a there is a fee for Fbm. As well. It looks like, but I don’t know that. I guess that we should look if that’s coming in through the data.
219 00:18:59.540 ⇒ 00:19:06.533 Luke Daque: Yeah, there might be some other sort of, because it’s probably a different
220 00:19:07.250 ⇒ 00:19:09.589 Luke Daque: be kind or something like that.
221 00:19:17.620 ⇒ 00:19:18.840 Luke Daque: 16.
222 00:19:20.670 ⇒ 00:19:23.730 Luke Daque: Yeah, okay, I’ll I’ll
223 00:19:25.040 ⇒ 00:19:31.359 Luke Daque: check on that one. I’ll do some further research. And what Fbm is, where to get that if we have it.
224 00:19:33.220 ⇒ 00:19:39.089 Luke Daque: So yeah, that’s that’s essentially it. The only other thing, I guess.
225 00:19:39.530 ⇒ 00:19:45.889 Luke Daque: is, once we’re good with the numbers, and like we already have dimensions here for the selling platform.
226 00:19:46.270 ⇒ 00:19:50.959 Luke Daque: The other thing that Ben wanted to be able to drill down was the product class.
227 00:19:51.100 ⇒ 00:19:55.169 Luke Daque: like he wanted to know, like, how much sales or like.
228 00:19:55.950 ⇒ 00:19:58.510 Luke Daque: yeah, for for heat pumps, for example.
229 00:19:58.620 ⇒ 00:20:05.999 Luke Daque: And this is something that we can do at the moment, for the Daily Kpi dashboard just like this is coming from
230 00:20:06.550 ⇒ 00:20:14.629 Luke Daque: orders and not borderline items. We can’t break down marketing costs for each borderline item, or we can’t.
231 00:20:15.700 ⇒ 00:20:21.619 Luke Daque: Right? Yeah, like fees as well. We won’t be able to.
232 00:20:22.870 ⇒ 00:20:27.119 Uttam Kumaran: Yeah. But this is all. This is all things like again, you just have to explain really clearly,
233 00:20:30.360 ⇒ 00:20:37.919 Uttam Kumaran: and then and then have basically like, have it in documentation. Also, I mean, the biggest thing is like we need to. We need to explain to Kim
234 00:20:38.060 ⇒ 00:20:40.939 Uttam Kumaran: so that when Kim gets asked he can explain.
235 00:20:41.830 ⇒ 00:20:42.510 Luke Daque: Right?
236 00:20:42.750 ⇒ 00:20:43.640 Luke Daque: Okay.
237 00:20:44.510 ⇒ 00:20:50.700 Uttam Kumaran: Yeah, that’s the biggest thing I would suggest. So you have. All these are in notes like, so how is the process going with Kim? Now.
238 00:20:53.230 ⇒ 00:20:58.800 Luke Daque: Yeah, we do. We’re supposed to have a call today around.
239 00:20:59.200 ⇒ 00:21:02.940 Luke Daque: Let me check to discuss this.
240 00:21:03.390 ⇒ 00:21:05.395 Luke Daque: And I also already sent the
241 00:21:06.100 ⇒ 00:21:08.919 Luke Daque: the loom video with the notes on what I I
242 00:21:09.200 ⇒ 00:21:11.520 Luke Daque: I saw here with the details.
243 00:21:14.590 ⇒ 00:21:17.090 Luke Daque: Yeah, we have one. In 20 min.
244 00:21:17.880 ⇒ 00:21:18.880 Uttam Kumaran: Okay, cool.
245 00:21:20.031 ⇒ 00:21:26.539 Uttam Kumaran: So yeah, I would. Just, I would just try to gather as much detail from that as possible. And then the biggest thing like
246 00:21:26.710 ⇒ 00:21:36.830 Uttam Kumaran: I would. I think it’s it’s gonna be helpful as you go through this process to even document some of these items. Did you know our fa, that kind of the FAQ sort of style documentation we’re doing.
247 00:21:37.090 ⇒ 00:21:38.200 Luke Daque: Right, yeah.
248 00:21:38.550 ⇒ 00:21:41.279 Uttam Kumaran: Do you have something going like that in in notion.
249 00:21:41.730 ⇒ 00:21:47.359 Luke Daque: Yeah, we did create one and send it to Ken. I can share it with you.
250 00:21:48.630 ⇒ 00:21:52.938 Uttam Kumaran: Okay, yeah, I to give you a sense of like, what a good
251 00:21:53.440 ⇒ 00:21:55.559 Uttam Kumaran: you know the one we did for Stackblitz.
252 00:21:56.190 ⇒ 00:21:56.909 Luke Daque: Right, yeah.
253 00:21:57.270 ⇒ 00:22:00.959 Uttam Kumaran: Like. That’s a great example of what we can start to do here.
254 00:22:02.460 ⇒ 00:22:04.290 Luke Daque: Yeah, I think we have that
255 00:22:04.810 ⇒ 00:22:09.549 Luke Daque: for the Daily Kpi. It’s like an FAQ thing. But yeah, it’s
256 00:22:11.310 ⇒ 00:22:15.240 Luke Daque: not sure if she’s read that we sent that last Friday or Thursday.
257 00:22:16.210 ⇒ 00:22:16.900 Luke Daque: Oh.
258 00:22:18.710 ⇒ 00:22:21.589 Uttam Kumaran: Yeah, I would just continue to put together the
259 00:22:23.960 ⇒ 00:22:28.009 Uttam Kumaran: continue just to hammer that faqs. And then who’s who’s Steven?
260 00:22:30.970 ⇒ 00:22:33.620 Luke Daque: Steven put away.
261 00:22:35.240 ⇒ 00:22:36.730 Luke Daque: Wait! What do you mean, Stephen.
262 00:22:38.880 ⇒ 00:22:42.410 Uttam Kumaran: Amber said. You’re meeting with Kim and Stephen or Stefan.
263 00:22:42.660 ⇒ 00:22:43.250 Luke Daque: Oh.
264 00:22:48.950 ⇒ 00:22:49.999 Luke Daque: I’m not sure.
265 00:22:55.300 ⇒ 00:23:03.260 Luke Daque: Yeah, I don’t know. Maybe maybe Stefan is more on the Amazon numbers.
266 00:23:03.800 ⇒ 00:23:05.960 Luke Daque: I’ll have to check the number.
267 00:23:08.790 ⇒ 00:23:09.390 Uttam Kumaran: Okay.
268 00:23:14.400 ⇒ 00:23:17.400 Luke Daque: Cool. Okay. Let me see.
269 00:23:17.600 ⇒ 00:23:20.870 Uttam Kumaran: Yeah. Feel free to hang hang in here. I’m just gonna keep working.
270 00:23:21.520 ⇒ 00:23:30.400 Luke Daque: Yeah, we didn’t have this before. It’s still, it wasn’t an FAQ style. But we did have this documentation before on like.
271 00:23:30.620 ⇒ 00:23:37.839 Luke Daque: what is the profit components of the revenue. This is, we shared this with her, and we also shared the other one.
272 00:23:38.250 ⇒ 00:23:39.880 Luke Daque: which was.
273 00:23:41.580 ⇒ 00:23:44.770 Uttam Kumaran: Yeah, I mean, it would be really great to even just start
274 00:23:46.000 ⇒ 00:23:51.589 Uttam Kumaran: start one and just throw these all into AI and ask it to help you basically build that document.
275 00:23:55.120 ⇒ 00:23:55.730 Luke Daque: Yes.
276 00:23:56.820 ⇒ 00:24:05.399 Uttam Kumaran: Because better than one better than multiple. What we I think we’re realizing is that it’s just helpful to have one that’s like we could just scroll through almost like a wiki, basically.
277 00:24:06.040 ⇒ 00:24:07.570 Luke Daque: Yeah, makes sense.
278 00:24:10.280 ⇒ 00:24:13.949 Luke Daque: I can update this one, make it an FAQ. Style.
279 00:24:14.200 ⇒ 00:24:14.590 Uttam Kumaran: Okay.
280 00:24:14.590 ⇒ 00:24:16.230 Luke Daque: And yeah.
281 00:24:17.130 ⇒ 00:24:20.559 Uttam Kumaran: Especially the stuff about the marketing, like the random marketing sources.
282 00:24:21.600 ⇒ 00:24:27.340 Luke Daque: Yeah, like, yeah, I can add the others, the missing ones, the Cj.
283 00:24:28.560 ⇒ 00:24:36.820 Luke Daque: or like, I can break this down to Cj and impactless of the other one, and they pre field.
284 00:24:41.940 ⇒ 00:24:42.630 Luke Daque: Yep.
285 00:24:45.390 ⇒ 00:24:48.669 Uttam Kumaran: Okay, cool. So I think overall, it’s getting better. It seems like.
286 00:24:49.470 ⇒ 00:24:51.039 Luke Daque: Yeah, I’d say so.
287 00:24:53.980 ⇒ 00:24:58.770 Uttam Kumaran: And then the thing I think would be worth telling. Amber to make tickets on is to add testing
288 00:24:59.360 ⇒ 00:25:04.179 Uttam Kumaran: on the all the core March models. So that’s what me and demalade are working on right now for
289 00:25:04.450 ⇒ 00:25:09.429 Uttam Kumaran: for Eden, basically doing, going back and doing like sort of what we tried to do last year.
290 00:25:10.060 ⇒ 00:25:13.360 Uttam Kumaran: and now that we just have a couple more people, it’s a little bit easier to do.
291 00:25:15.670 ⇒ 00:25:16.580 Luke Daque: Okay.
292 00:25:21.410 ⇒ 00:25:22.790 Luke Daque: cool. Thanks.
293 00:25:23.300 ⇒ 00:25:25.509 Luke Daque: I think that’s that’s it. From my end.
294 00:25:25.510 ⇒ 00:25:25.845 Uttam Kumaran: Okay.
295 00:25:30.310 ⇒ 00:25:32.510 Luke Daque: Looks like them loud is here as well.
296 00:25:34.510 ⇒ 00:25:35.210 Uttam Kumaran: Hey! Dude.
297 00:25:36.070 ⇒ 00:25:37.921 Demilade Agboola: Hey? Sorry I’m gonna be quiet.
298 00:25:38.230 ⇒ 00:25:38.650 Uttam Kumaran: You’re good.
299 00:25:38.650 ⇒ 00:25:47.069 Demilade Agboola: Trying to refresh my dashboard. So that’s kind of what I was, you know, up to so.
300 00:25:47.070 ⇒ 00:25:50.029 Uttam Kumaran: I saw your message. I haven’t had a chance to respond.
301 00:25:50.390 ⇒ 00:25:53.780 Demilade Agboola: Yeah, Robert’s, Robert has responded.
302 00:25:54.724 ⇒ 00:26:02.279 Demilade Agboola: So this morning Eden’s dashboards didn’t refresh, and when I went in to look at the extracts.
303 00:26:02.690 ⇒ 00:26:07.630 Demilade Agboola: and why, like what was going on. It turned out that I was getting
304 00:26:08.806 ⇒ 00:26:14.059 Demilade Agboola: like they were not. They didn’t run, and when I tried to manually rerun it. The error was that
305 00:26:14.300 ⇒ 00:26:18.630 Demilade Agboola: the okay things are fine. Now the error was that
306 00:26:19.610 ⇒ 00:26:29.310 Demilade Agboola: the token is expired. Basically, I need to redo it with an expired with an non-expired or unexpired token.
307 00:26:30.190 ⇒ 00:26:31.390 Demilade Agboola: The problem.
308 00:26:31.660 ⇒ 00:26:35.460 Demilade Agboola: The problem was that I couldn’t generate a new token
309 00:26:36.100 ⇒ 00:26:38.290 Demilade Agboola: because I didn’t have that administrative access.
310 00:26:38.290 ⇒ 00:26:39.020 Uttam Kumaran: Oh, okay.
311 00:26:39.020 ⇒ 00:26:41.379 Demilade Agboola: And Robert’s account that did
312 00:26:42.140 ⇒ 00:26:50.320 Demilade Agboola: when I was trying to sign in with his account. There was no pass keys so, and and I couldn’t receive any otp, so I was kind of stuck.
313 00:26:50.750 ⇒ 00:27:04.870 Demilade Agboola: and I was, just, you know, just kind of waiting for someone to be able to like, wake up and handle things, but now he sent a new token. He’s a bit surprised by it, because this was generated less than 30 days ago, so there’s really no reason why
314 00:27:05.270 ⇒ 00:27:07.770 Demilade Agboola: they should be expired, you know.
315 00:27:07.770 ⇒ 00:27:10.543 Uttam Kumaran: Well, when you create a token in in
316 00:27:11.700 ⇒ 00:27:16.550 Uttam Kumaran: in Google, I think you can set an expiry date. So that’s the only thing is like that was set then.
317 00:27:19.770 ⇒ 00:27:22.899 Uttam Kumaran: That was, if that was set, then it could be rough.
318 00:27:23.670 ⇒ 00:27:29.230 Demilade Agboola: Yeah, yeah, so we we obviously need to look at that end of the spectrum.
319 00:27:29.740 ⇒ 00:27:38.339 Demilade Agboola: But so I was basically just refreshing doing the extracts again. Dashboards are up and running now. Things are fine.
320 00:27:39.318 ⇒ 00:27:45.730 Demilade Agboola: And I had sent a message. So at least I was because I had looked at it I was able to beat the hidden team to the point.
321 00:27:45.730 ⇒ 00:27:46.929 Uttam Kumaran: Nice. Okay.
322 00:27:46.930 ⇒ 00:27:50.309 Demilade Agboola: Right. So they had told them like, you know, this is what’s going on.
323 00:27:50.430 ⇒ 00:27:52.340 Demilade Agboola: and it will be fixed asap.
324 00:27:52.980 ⇒ 00:28:02.859 Demilade Agboola: So I mean, obviously, that we’ve not received any messages. But you know, like Josh has responded, and you know, I think he tagged Robert just so that Robert was aware.
325 00:28:03.090 ⇒ 00:28:07.696 Demilade Agboola: just like sent the I don’t know. High 5 print, Emoji Beanie.
326 00:28:08.080 ⇒ 00:28:09.460 Uttam Kumaran: Okay, it.
327 00:28:09.460 ⇒ 00:28:10.449 Demilade Agboola: Yeah, so.
328 00:28:11.220 ⇒ 00:28:12.380 Uttam Kumaran: Alright, great.
329 00:28:12.520 ⇒ 00:28:13.350 Demilade Agboola: There!
330 00:28:21.160 ⇒ 00:28:31.440 Uttam Kumaran: Okay, cool. I’m just gonna I’m just gonna go start I can share my screen. But I’ll probably just start going through Prs and trying to push things along. I’m gonna ping a wish, and then I’m gonna do some work on testing stuff.
331 00:28:34.010 ⇒ 00:28:35.190 Demilade Agboola: Sounds good.
332 00:28:36.370 ⇒ 00:28:36.870 Uttam Kumaran: Feel free, to.
333 00:28:36.870 ⇒ 00:28:37.300 Luke Daque: I might.
334 00:28:37.300 ⇒ 00:28:40.030 Uttam Kumaran: To chill if you want to, or if you want to drop whatever.
335 00:28:41.170 ⇒ 00:28:46.149 Luke Daque: Yeah, I’ll chill for now, but I’ll be dropping in about like 10 min to join the call.
336 00:28:46.570 ⇒ 00:28:47.130 Uttam Kumaran: Cool.
337 00:29:27.040 ⇒ 00:29:28.286 Uttam Kumaran: I wish.
338 00:29:30.910 ⇒ 00:29:31.740 Awaish Kumar: Hold on!
339 00:29:33.530 ⇒ 00:29:38.919 Uttam Kumaran: Well, I was just gonna review you know, review Prs.