Meeting Title: Data Reporting and Retention Sync Date: 2026-04-20 Meeting participants: Mitesh, Zoran Selinger
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1 00:02:14.570 ⇒ 00:02:15.580 Zoran Selinger: Hamidesh.
2 00:02:16.660 ⇒ 00:02:18.419 Mitesh: Hey, how’s it going? One second.
3 00:02:18.780 ⇒ 00:02:20.109 Mitesh: finishing this message.
4 00:02:20.290 ⇒ 00:02:21.500 Zoran Selinger: Sure, go ahead.
5 00:03:50.980 ⇒ 00:03:52.330 Mitesh: Alright, sorry.
6 00:03:59.010 ⇒ 00:04:00.619 Zoran Selinger: So I was in a meeting earlier.
7 00:04:01.220 ⇒ 00:04:05.980 Zoran Selinger: I heard that you emphasized, partners.
8 00:04:06.350 ⇒ 00:04:09.379 Zoran Selinger: quite a lot in a conversation with Destiny.
9 00:04:09.920 ⇒ 00:04:14.420 Zoran Selinger: On that side, do you have enough reporting?
10 00:04:15.080 ⇒ 00:04:17.910 Mitesh: We don’t
11 00:04:19.529 ⇒ 00:04:27.539 Mitesh: Yeah, so what happened is a couple of things, and it’s all, like, kind of just went to shit, like, you know, as of, like, 10 days ago.
12 00:04:28.290 ⇒ 00:04:31.550 Mitesh: We… we need reporting.
13 00:04:32.030 ⇒ 00:04:48.780 Mitesh: by intake, right? So by channel, and by, what I’ll say, campaign, because there are certain channels that have, like, different intakes for different campaigns or different partners. I’ll just call them all campaigns.
14 00:04:49.090 ⇒ 00:05:00.819 Mitesh: So we had, what I’ll call end-to-end, data, For, landing page.
15 00:05:01.170 ⇒ 00:05:10.659 Mitesh: CTR to intake start to intake conversion, and therefore we get the entire, what I’ll call, flow conversion rates, right?
16 00:05:11.330 ⇒ 00:05:13.819 Mitesh: And then, with… so that…
17 00:05:14.200 ⇒ 00:05:23.800 Mitesh: we had, and we need. I am told that it got destroyed in the mixed panel, Crap.
18 00:05:24.030 ⇒ 00:05:38.769 Mitesh: Right? And that they have to be recreated. And the second thing we had that I really, really need is the drop-off data in the intake funnel. Like, which questionnaire is completed, where the drop-offs are, and so on.
19 00:05:38.940 ⇒ 00:05:41.550 Mitesh: Again, Ryan had these for several…
20 00:05:41.550 ⇒ 00:05:42.170 Zoran Selinger: posts, yeah.
21 00:05:42.170 ⇒ 00:05:44.399 Mitesh: Wall intakes, and they’re gone.
22 00:05:44.660 ⇒ 00:05:50.050 Mitesh: I don’t know if he discussed this with you, but we really need that data.
23 00:05:50.840 ⇒ 00:05:52.250 Mitesh: Yeah.
24 00:05:52.250 ⇒ 00:05:54.960 Zoran Selinger: So the data isn’t destroyed, it just reports.
25 00:05:54.960 ⇒ 00:05:57.559 Mitesh: The reports are destroyed, that’s what I meant, sorry, that’s what I… yeah.
26 00:05:57.560 ⇒ 00:05:58.120 Zoran Selinger: Yeah, I’m…
27 00:05:59.040 ⇒ 00:06:02.549 Mitesh: I don’t really care about the data, I want the report. I want the dashboard.
28 00:06:02.550 ⇒ 00:06:03.040 Zoran Selinger: Yeah, yeah, yeah.
29 00:06:03.040 ⇒ 00:06:22.230 Mitesh: But yeah, so that we need reconstructed either in Mixpanel or something else, because right now we’re just like, you know, I’m asking these guys questions about… and demanding improvements in CRO, and they don’t know where to look.
30 00:06:22.610 ⇒ 00:06:24.240 Zoran Selinger: Yeah. Right? I understand.
31 00:06:24.370 ⇒ 00:06:29.539 Mitesh: And… and so… I need help, I don’t know…
32 00:06:29.900 ⇒ 00:06:39.130 Mitesh: Like, we just need help to reconstruct those super quick. Whether in Mixpanel or elsewhere, I don’t really care right now. I just need a solution fast.
33 00:06:42.940 ⇒ 00:06:49.910 Zoran Selinger: Yeah, I’ll have to talk to… I’ll have to talk to Greg. Probably good if Greg, again, starts
34 00:06:50.480 ⇒ 00:06:54.270 Zoran Selinger: Coming to this… to this…
35 00:06:54.580 ⇒ 00:06:56.860 Zoran Selinger: We, start of the week catch-up.
36 00:06:57.020 ⇒ 00:06:58.660 Zoran Selinger: Yeah. On Mondays.
37 00:06:58.660 ⇒ 00:07:02.779 Mitesh: And then, I know, like, you know, I don’t know, at least…
38 00:07:02.970 ⇒ 00:07:16.329 Mitesh: and I don’t know if I understood him correctly or not, but Ryan said, like, the UTM data is not even available right now in Mixpanel, so it’s hard for him to recreate the reports.
39 00:07:16.440 ⇒ 00:07:20.969 Mitesh: I don’t know if I understood him correctly, I might be mangling that.
40 00:07:24.330 ⇒ 00:07:26.509 Zoran Selinger: Okay, is there anything else?
41 00:07:26.510 ⇒ 00:07:27.280 Mitesh: Yes.
42 00:07:27.730 ⇒ 00:07:30.610 Mitesh: The second thing is, is the retention data.
43 00:07:31.190 ⇒ 00:07:46.229 Mitesh: You know, I had, you know, right or wrong, we had a baseline, accurate or not, you know? Wasn’t completely broken, but we had a baseline of first refill, second refill, third refill, right?
44 00:07:46.410 ⇒ 00:07:52.579 Mitesh: And… Adam is saying that was all wrong, our retention is great.
45 00:07:53.050 ⇒ 00:07:55.500 Mitesh: I’m not convinced our retention is great.
46 00:07:55.800 ⇒ 00:08:03.650 Mitesh: I think our retention dropped from 65% to 60%, like, the first order within 30 days.
47 00:08:03.860 ⇒ 00:08:07.090 Mitesh: Or, it could have dropped from 70 to 65.
48 00:08:07.270 ⇒ 00:08:15.350 Mitesh: I don’t care. Either way, to me, it dropped. But he’s saying, Mitesh, don’t work on retention, because that data was wrong, and our retention is just fine.
49 00:08:16.330 ⇒ 00:08:28.669 Mitesh: I need accurate data going back to January 1st of 25, saying what is the first order repeat rate within 30 days, second within the next 30 days, and so on.
50 00:08:30.480 ⇒ 00:08:33.250 Zoran Selinger: So this, this is not the report that I sent you.
51 00:08:35.179 ⇒ 00:08:35.970 Zoran Selinger: Right.
52 00:08:36.370 ⇒ 00:08:36.890 Mitesh: Remind me.
53 00:08:36.890 ⇒ 00:08:41.939 Zoran Selinger: doesn’t answer your question, so I sent you I think on Friday.
54 00:08:42.250 ⇒ 00:08:43.420 Zoran Selinger: You’ll remember.
55 00:08:43.640 ⇒ 00:08:47.170 Mitesh: I don’t remember. Tell me, remind me, where did you send it?
56 00:08:47.330 ⇒ 00:08:49.699 Zoran Selinger: In private messages on Slack.
57 00:08:49.840 ⇒ 00:08:54.249 Zoran Selinger: If you look at that report, This is in…
58 00:08:55.130 ⇒ 00:08:59.470 Zoran Selinger: Yeah, so the lifecycle marketing report that we had in Tableau.
59 00:09:00.000 ⇒ 00:09:02.840 Zoran Selinger: So that one will tell you.
60 00:09:03.440 ⇒ 00:09:05.190 Mitesh: And waterfall, where is it?
61 00:09:05.490 ⇒ 00:09:06.040 Mitesh: Lifestyle.
62 00:09:06.040 ⇒ 00:09:07.990 Zoran Selinger: Sending you a link now, I just…
63 00:09:07.990 ⇒ 00:09:08.890 Mitesh: Okay, okay.
64 00:09:09.730 ⇒ 00:09:12.229 Zoran Selinger: So I sent you, in…
65 00:09:16.490 ⇒ 00:09:17.940 Zoran Selinger: For each anomaly.
66 00:09:19.280 ⇒ 00:09:22.100 Mitesh: Alright, let me get… and you’re sending me a link?
67 00:09:23.900 ⇒ 00:09:26.040 Mitesh: There it is. Okay, I see the link.
68 00:09:26.690 ⇒ 00:09:29.350 Mitesh: Let me get to it on me.
69 00:09:31.700 ⇒ 00:09:33.720 Mitesh: Yes, this was it.
70 00:09:34.290 ⇒ 00:09:35.840 Mitesh: But why didn’t…
71 00:09:35.840 ⇒ 00:09:36.350 Zoran Selinger: Yeah, so…
72 00:09:36.350 ⇒ 00:09:36.740 Mitesh: Naming it.
73 00:09:36.740 ⇒ 00:09:41.610 Zoran Selinger: I sent it to you last time, and it actually did not work properly.
74 00:09:41.610 ⇒ 00:09:41.970 Mitesh: They’.
75 00:09:41.970 ⇒ 00:09:50.050 Zoran Selinger: fixed it in the meantime. So, what you have… what you have here is the breakdown by product group.
76 00:09:51.030 ⇒ 00:09:55.459 Zoran Selinger: or the first order product, right?
77 00:09:57.210 ⇒ 00:10:07.099 Zoran Selinger: so you have GLP-1s versus non-GLP-1s here. So that’s… that would be by product, but you also mentioned, mentioned channels.
78 00:10:07.100 ⇒ 00:10:10.239 Mitesh: Okay, let me share my screen and walk me through this, sorry.
79 00:10:12.110 ⇒ 00:10:15.239 Zoran Selinger: But this is a report that we had for a while.
80 00:10:15.240 ⇒ 00:10:16.830 Mitesh: Right, we had it for a while.
81 00:10:16.830 ⇒ 00:10:22.399 Zoran Selinger: Mostly… I think it was mostly Judd that was looking at it.
82 00:10:22.750 ⇒ 00:10:25.450 Zoran Selinger: No.
83 00:10:26.090 ⇒ 00:10:28.500 Zoran Selinger: Okay. So… This is for everything.
84 00:10:28.500 ⇒ 00:10:32.599 Mitesh: It’s 16 months, so I get back to January of last year, right?
85 00:10:33.210 ⇒ 00:10:36.170 Mitesh: Help… what a cohort overview table?
86 00:10:38.290 ⇒ 00:10:42.110 Mitesh: Can you explain… help me understand what these reports are?
87 00:10:43.540 ⇒ 00:10:47.480 Zoran Selinger: Okay, so, the first one, you see, so…
88 00:10:47.580 ⇒ 00:10:52.970 Zoran Selinger: In January, you have 4,000 people making their first order, okay?
89 00:10:53.340 ⇒ 00:11:03.119 Zoran Selinger: And that’s revenue per customer, and since they had on average, 4.7 orders last season, yeah.
90 00:11:03.120 ⇒ 00:11:05.339 Mitesh: No, this is their LTV.
91 00:11:05.900 ⇒ 00:11:06.370 Zoran Selinger: Yep.
92 00:11:06.370 ⇒ 00:11:09.979 Mitesh: For customers acquired in January, February, and so on. Okay.
93 00:11:10.440 ⇒ 00:11:23.019 Zoran Selinger: So, on the right-hand side, you will see the retention rates, basically the percent of customers still here after 3 months, 4 months, 5 months, and 6 months.
94 00:11:23.930 ⇒ 00:11:30.180 Mitesh: Or this is after 3 months. This is after 3 months, yes. Can I get after… can I get 1 and 2 months in here?
95 00:11:30.180 ⇒ 00:11:33.830 Zoran Selinger: We, yeah, I mean, I’ll have to, I’ll have to request that.
96 00:11:34.200 ⇒ 00:11:34.660 Mitesh: Okay.
97 00:11:34.660 ⇒ 00:11:35.620 Zoran Selinger: If you want.
98 00:11:35.620 ⇒ 00:11:40.119 Mitesh: Because I remember seeing something like that, the first refill and the second refill.
99 00:11:40.440 ⇒ 00:11:46.859 Zoran Selinger: Yeah, I mean, That report, I don’t know about. I have never seen something
100 00:11:47.360 ⇒ 00:11:52.870 Zoran Selinger: that reports for the month 1 and 2. Okay. This is the only one that I’ve seen.
101 00:11:52.870 ⇒ 00:11:55.550 Mitesh: One second, let me show you which one I’m talking about.
102 00:11:55.550 ⇒ 00:11:57.270 Zoran Selinger: You know what, okay?
103 00:11:57.270 ⇒ 00:12:01.849 Mitesh: Yeah, I’ve used it, customer cross-product, and… Check this one.
104 00:12:04.900 ⇒ 00:12:07.900 Mitesh: This is the one that I’m referring to.
105 00:12:11.370 ⇒ 00:12:14.040 Zoran Selinger: You’re just sharing the… the Google search?
106 00:12:15.290 ⇒ 00:12:17.220 Mitesh: Am I? Oh, I’m in the…
107 00:12:17.220 ⇒ 00:12:19.520 Zoran Selinger: Where the Omni report is that browser.
108 00:12:22.590 ⇒ 00:12:23.380 Mitesh: Okay.
109 00:12:24.600 ⇒ 00:12:26.699 Zoran Selinger: Cohort reorder insurance by product.
110 00:12:26.700 ⇒ 00:12:29.379 Mitesh: Yeah, monthly retention by product.
111 00:12:29.380 ⇒ 00:12:30.200 Zoran Selinger: Right?
112 00:12:30.390 ⇒ 00:12:35.420 Mitesh: And so… for example, for injectable Semma.
113 00:12:35.730 ⇒ 00:12:38.809 Mitesh: which I filtered it to Injectable cell.
114 00:12:38.810 ⇒ 00:12:39.490 Zoran Selinger: Yep.
115 00:12:41.190 ⇒ 00:12:55.089 Mitesh: this looks like the same, like, LTV, right? Report, and… Let me just check to see if it’s… this is churn. Okay, this is it.
116 00:12:56.160 ⇒ 00:13:03.730 Mitesh: So, what this is saying is those customers… let’s go to January of 26.
117 00:13:03.930 ⇒ 00:13:09.320 Mitesh: that people who placed their first order in January of 26…
118 00:13:09.660 ⇒ 00:13:19.660 Mitesh: placed their first refill order, the reorder rate, right? 60% of them placed a six, refill in that first month.
119 00:13:19.850 ⇒ 00:13:20.450 Zoran Selinger: Yeah.
120 00:13:20.450 ⇒ 00:13:20.790 Mitesh: Right?
121 00:13:20.790 ⇒ 00:13:21.480 Zoran Selinger: Yes.
122 00:13:21.480 ⇒ 00:13:27.949 Mitesh: So, what I am saying is, see, these numbers back in September, October were, like, 65%.
123 00:13:29.120 ⇒ 00:13:35.120 Mitesh: Right? This was a mess, because this is when we had that big summer fiasco, right?
124 00:13:35.240 ⇒ 00:13:39.250 Mitesh: But when we recovered from that, we were at 65% average.
125 00:13:40.140 ⇒ 00:13:48.450 Mitesh: And then December, January, we dropped to below 60, and February was 61%, which is better, but…
126 00:13:48.880 ⇒ 00:13:51.920 Mitesh: This is a core issue for us, our retention.
127 00:13:52.200 ⇒ 00:14:02.029 Mitesh: Right? Same thing here. The second refill was 47-45%, and you can see we’ve dropped to 41, 43, and even 40%.
128 00:14:02.870 ⇒ 00:14:03.450 Zoran Selinger: Yeah.
129 00:14:03.730 ⇒ 00:14:04.460 Mitesh: Right?
130 00:14:04.920 ⇒ 00:14:08.070 Mitesh: And… so, so this is a problem.
131 00:14:10.970 ⇒ 00:14:14.839 Mitesh: Now, Adam is saying, this is not accurate data.
132 00:14:16.430 ⇒ 00:14:17.730 Mitesh: I can’t…
133 00:14:17.940 ⇒ 00:14:29.279 Mitesh: if he says it’s… and I don’t know based on what… that’s what he’s working with Robert on, I don’t know if you have any insights into that, but I need something I can rely on, and I’m gonna rely on this.
134 00:14:29.620 ⇒ 00:14:33.700 Zoran Selinger: Okay, I’ll just… I’ll… I’ll get a team to confirm. So…
135 00:14:33.820 ⇒ 00:14:48.640 Zoran Selinger: whenever you see Omni, this does not mean… this isn’t about, any kind of tracking, mixed panel, this is directly data that we basically get from Busk.
136 00:14:48.990 ⇒ 00:14:55.319 Zoran Selinger: So these should be… These things are built directly from there, so it should be accurate.
137 00:14:56.470 ⇒ 00:15:00.569 Mitesh: Okay. I didn’t know that, he didn’t know that, right?
138 00:15:00.570 ⇒ 00:15:07.279 Zoran Selinger: So Omni is just a visualization layer of what we have in our data warehouse.
139 00:15:07.580 ⇒ 00:15:08.940 Mitesh: Right, right. Yeah.
140 00:15:09.270 ⇒ 00:15:09.900 Mitesh: Okay.
141 00:15:09.900 ⇒ 00:15:10.560 Zoran Selinger: I think.
142 00:15:10.560 ⇒ 00:15:12.579 Mitesh: Alright, so how do we… that should… that should be…
143 00:15:12.580 ⇒ 00:15:15.540 Zoran Selinger: 100% accurate, I’ll get the guys to check.
144 00:15:15.660 ⇒ 00:15:21.750 Mitesh: Okay, I’m going to continue to rely on this data. And then this one is cross-sell.
145 00:15:21.910 ⇒ 00:15:31.010 Mitesh: Here, we had asked Robert to add a filter, right? So, for example, TERGE is a replacement, it’s not a cross-sell for Semma.
146 00:15:32.190 ⇒ 00:15:33.389 Zoran Selinger: Yes, yes.
147 00:15:33.390 ⇒ 00:15:38.810 Mitesh: So we wanted to make sure that, you know, there’s a leave substitutes-out kind of a filter here.
148 00:15:46.020 ⇒ 00:15:47.380 Zoran Selinger: Yeah, okay, okay.
149 00:15:47.380 ⇒ 00:15:48.130 Mitesh: Okay?
150 00:15:49.750 ⇒ 00:15:51.949 Zoran Selinger: That’s fine. Okay, well…
151 00:15:51.950 ⇒ 00:15:54.290 Mitesh: I’m gonna continue to use these date reports.
152 00:15:54.430 ⇒ 00:15:59.869 Mitesh: You talk to Robert and them that they gotta convince Adam that these are accurate.
153 00:16:00.030 ⇒ 00:16:01.030 Zoran Selinger: Yeah, okay, sure.
154 00:16:01.030 ⇒ 00:16:01.480 Mitesh: Okay.
155 00:16:01.620 ⇒ 00:16:02.250 Zoran Selinger: No problem.
156 00:16:02.250 ⇒ 00:16:07.290 Mitesh: Alright, help us with the recovering those other reports, though, I really need them.
157 00:16:08.310 ⇒ 00:16:09.160 Mitesh: Okay.
158 00:16:09.410 ⇒ 00:16:10.070 Zoran Selinger: Okay.
159 00:16:10.070 ⇒ 00:16:11.789 Mitesh: Alright, thank you. Thanks.
160 00:16:11.790 ⇒ 00:16:12.400 Zoran Selinger: Bye.