Meeting Title: Planning: Ellie-Hyp-Readme-Eden-Insomnia Date: 2025-11-10 Meeting participants: Uttam Kumaran, Zoran Selinger, Robert Tseng, Awaish Kumar, Demilade Agboola, Henry Zhao, Rico Rejoso, Amber Lin
WEBVTT
1 00:00:25.600 ⇒ 00:00:26.470 Zoran Selinger: Hello.
2 00:00:28.120 ⇒ 00:00:29.290 Uttam Kumaran: Hello, sir.
3 00:00:55.410 ⇒ 00:00:56.420 Robert Tseng: Hello!
4 00:00:56.680 ⇒ 00:00:57.650 Uttam Kumaran: Morning!
5 00:00:57.840 ⇒ 00:00:58.440 Robert Tseng: Morning.
6 00:01:02.030 ⇒ 00:01:03.840 Robert Tseng: Oh, this actually doesn’t look very good.
7 00:01:04.690 ⇒ 00:01:06.070 Uttam Kumaran: What do you mean?
8 00:01:07.320 ⇒ 00:01:09.220 Uttam Kumaran: It’s giving Lumberjack.
9 00:01:09.870 ⇒ 00:01:13.940 Robert Tseng: I know, but, like, Rachel came out of her room, she’s like, why are you looking like a hobo?
10 00:01:15.190 ⇒ 00:01:18.459 Robert Tseng: So I’ve been a little bit self-conscious, I might change my outfit.
11 00:01:18.460 ⇒ 00:01:23.469 Uttam Kumaran: Oh, you’re good, dude. It’s festive… it’s, like, nice and… you look cozy, actually.
12 00:01:24.630 ⇒ 00:01:27.130 Uttam Kumaran: I want one… I need… I want a shirt like that.
13 00:01:29.640 ⇒ 00:01:32.430 Uttam Kumaran: It’s finally starting to get cold here.
14 00:01:32.900 ⇒ 00:01:36.729 Robert Tseng: Oh, yeah? It’s gonna be below freezing tomorrow here in New York, so…
15 00:01:37.470 ⇒ 00:01:38.340 Uttam Kumaran: Wow.
16 00:01:38.340 ⇒ 00:01:40.340 Robert Tseng: Yeah, we’ll see.
17 00:01:47.360 ⇒ 00:01:50.300 Uttam Kumaran: I have something very cool to share, once everybody’s…
18 00:01:50.300 ⇒ 00:01:52.079 Robert Tseng: my… the stand-up bot.
19 00:01:52.080 ⇒ 00:01:58.439 Uttam Kumaran: Yes, dude, it’s, it’s like… I’m just getting, like, goosebumps even, like, using it. I…
20 00:01:59.250 ⇒ 00:02:02.120 Uttam Kumaran: I knew that, like, this pace
21 00:02:03.080 ⇒ 00:02:12.510 Uttam Kumaran: is possible for so long, yet, like, finally, with Gay joining, we have, like, the right Like, people involved.
22 00:02:12.860 ⇒ 00:02:13.400 Robert Tseng: Nice.
23 00:02:13.400 ⇒ 00:02:18.599 Uttam Kumaran: Minus me to, like, get something like this out, which is really, really nice.
24 00:02:29.540 ⇒ 00:02:38.950 Uttam Kumaran: Who else are we waiting for? I mean, we’re waiting for Amber. I told, Mustafa’s working on scorecard. Henry’s here, okay.
25 00:03:10.270 ⇒ 00:03:20.370 Uttam Kumaran: Okay, so… let’s go ahead and start with Eden. And… I’m gonna use our…
26 00:03:20.550 ⇒ 00:03:25.939 Uttam Kumaran: new stand-up assistant for this today. I’ll just share my whole screen, actually, if it’s needed.
27 00:03:26.120 ⇒ 00:03:35.979 Uttam Kumaran: So… basically, I want to start this week by sort of talking about priorities.
28 00:03:36.580 ⇒ 00:03:50.080 Uttam Kumaran: this is a new, little application that we built internally that allows us to not only, like, save our weekly goals based on today’s stand-up date, but also I’m able to see, like.
29 00:03:51.200 ⇒ 00:03:57.700 Uttam Kumaran: tasks and statuses. For example, okay, there are two linear tickets that need to get followed up.
30 00:03:58.000 ⇒ 00:04:03.010 Uttam Kumaran: We learned today that the dbt thing failed this morning.
31 00:04:03.210 ⇒ 00:04:08.779 Uttam Kumaran: So this is sort of like our control center for this client. We’re on a day-to-day basis.
32 00:04:08.900 ⇒ 00:04:12.219 Uttam Kumaran: I really encourage everybody to use this.
33 00:04:12.340 ⇒ 00:04:20.980 Uttam Kumaran: Additionally, Rico, as we’re going now, I think we can actually start to take notes here.
34 00:04:22.420 ⇒ 00:04:28.189 Uttam Kumaran: So maybe I can take some notes here, and then we can see… I don’t know if it’s going to conflict, but…
35 00:04:28.760 ⇒ 00:04:41.229 Uttam Kumaran: Cool, so let’s start with, goals for, this week. So, kind of two housekeeping things is, like, getting the contract signed, which that’s in, I think, their
36 00:04:42.000 ⇒ 00:04:44.369 Uttam Kumaran: On their side, to complete.
37 00:04:44.630 ⇒ 00:04:53.119 Uttam Kumaran: And then, these DBT dashboard issues. Let’s just go through goals, and then we can talk about, like, the highest priority things.
38 00:04:53.270 ⇒ 00:04:58.089 Uttam Kumaran: The second, thing this week, we did a…
39 00:04:58.770 ⇒ 00:05:07.770 Uttam Kumaran: Weekly… we did, like, a more opportunistic planning, last week on… further items, like for Eden.
40 00:05:07.950 ⇒ 00:05:13.769 Uttam Kumaran: I kind of today want to just go through and check out the status of the deck.
41 00:05:13.930 ⇒ 00:05:18.970 Uttam Kumaran: So we have our, like, weekly ELT presentation Wednesday.
42 00:05:20.110 ⇒ 00:05:27.469 Uttam Kumaran: So we can just talk about that briefly. Any other, like, Priorities for this week.
43 00:05:28.810 ⇒ 00:05:30.379 Uttam Kumaran: That’s not captured here.
44 00:05:35.470 ⇒ 00:05:39.960 Zoran Selinger: Well, we should start, with… Onboarding with,
45 00:05:40.600 ⇒ 00:05:43.039 Zoran Selinger: With weaker reports, as well.
46 00:05:43.670 ⇒ 00:05:45.880 Zoran Selinger: I’ve already added a few tickets.
47 00:05:46.240 ⇒ 00:05:47.459 Zoran Selinger: For this…
48 00:05:53.710 ⇒ 00:05:54.700 Uttam Kumaran: What else?
49 00:05:55.220 ⇒ 00:05:57.810 Robert Tseng: Did they already sign the contract, Zora? Like…
50 00:05:59.230 ⇒ 00:06:06.870 Zoran Selinger: No, I just sent him an email so we can start the onboarding process this week, and I think that’ll be… they’ll go.
51 00:06:06.870 ⇒ 00:06:08.879 Robert Tseng: This is, like, pre-sales onboarding?
52 00:06:10.510 ⇒ 00:06:16.359 Zoran Selinger: Well… we… I mean, we already discussed the…
53 00:06:16.650 ⇒ 00:06:20.030 Zoran Selinger: Almost all the details, so it’s not really…
54 00:06:20.160 ⇒ 00:06:29.290 Zoran Selinger: I think we are ready to, we know what the pricing is, we’re ready to sign, we just need to decide on, you know, the trial length and all that.
55 00:06:29.290 ⇒ 00:06:32.359 Uttam Kumaran: Are they… yeah, that’s a question. Are they doing a trial?
56 00:06:34.120 ⇒ 00:06:37.480 Zoran Selinger: We, we have to talk about that,
57 00:06:38.660 ⇒ 00:06:39.640 Uttam Kumaran: Still.
58 00:06:39.840 ⇒ 00:06:46.890 Zoran Selinger: I asked for another meeting, or, you know, opening of the Slack channel where we can discuss.
59 00:06:47.550 ⇒ 00:07:05.569 Robert Tseng: Okay. I mean, yeah, this is the first tool that I have not, like, actively been involved in helping them sign, so I’m assuming that you’re… I mean, you talk to the budget owner, Cutter, all the time, and so you and him can work it out. If you need me to be a part of that conversation, you can let me know, but otherwise…
60 00:07:05.920 ⇒ 00:07:10.379 Robert Tseng: I guess all the power to you. Yeah, you can… you can help them move forward there.
61 00:07:10.380 ⇒ 00:07:16.819 Uttam Kumaran: I’m happy, that sounds, that sounds good until, yeah, just make sure it goes well.
62 00:07:17.160 ⇒ 00:07:19.309 Zoran Selinger: Okay, I’ll let you know, I’ll let you know.
63 00:07:19.310 ⇒ 00:07:36.049 Uttam Kumaran: Lawrence, try… yeah, try to just keep us in the loop on, like, where that is, and push… try to push these… anytime anybody here interacts with a vendor, push for free trials. Push for them to help us do setup. Don’t… don’t sign anything until the thing works.
64 00:07:37.270 ⇒ 00:07:42.729 Uttam Kumaran: Like, yeah. Unless… unless it’s, like, something we’ve used 100,000 times, like Snowflake or dbt.
65 00:07:42.850 ⇒ 00:07:46.910 Uttam Kumaran: That’s just us playing good defense for our clients, so…
66 00:07:47.440 ⇒ 00:07:47.990 Zoran Selinger: True.
67 00:07:49.950 ⇒ 00:07:53.100 Uttam Kumaran: What else?
68 00:08:04.230 ⇒ 00:08:10.329 Uttam Kumaran: Any other, like, larger priorities for this week? I assume, like, Refund Dash and stuff is all out, Henry?
69 00:08:10.610 ⇒ 00:08:19.849 Henry Zhao: Yep, that’s all out. Okay. But I’m a little confused what needs to be done for Tableau. Are we back online for that, as long as the Google grant is fixed?
70 00:08:21.700 ⇒ 00:08:24.060 Henry Zhao: Like, is there anything that needs to be done for the mobile-friendly stuff?
71 00:08:25.070 ⇒ 00:08:30.490 Demilade Agboola: So for the more welfare stuff, it does… I haven’t really gone into it, but it does appear that…
72 00:08:30.700 ⇒ 00:08:42.470 Demilade Agboola: when they use their phones to, like, get on Slack and try to download the PDFs, it’s… it forces them to sign in rather than download it, but, like, Cutter is able to download it via his desktop.
73 00:08:42.640 ⇒ 00:08:48.940 Demilade Agboola: But the problem is Adam and Josh are very mobile-friendly people, so we definitely need to get that resolved ASAP.
74 00:08:49.710 ⇒ 00:08:55.719 Demilade Agboola: But for the other part of the issue, which is the…
75 00:08:57.190 ⇒ 00:09:03.109 Demilade Agboola: the data source. Basically, North Beam is the source of the data for, like, the Tableau at the end.
76 00:09:03.240 ⇒ 00:09:13.559 Demilade Agboola: And nothing hasn’t pushed any data to the warehouse since the 7th, so we need to be able to identify the new data source and integrate it into dbt.
77 00:09:13.910 ⇒ 00:09:17.049 Zoran Selinger: I don’t know if you saw the messages, I found the issue.
78 00:09:18.690 ⇒ 00:09:20.110 Demilade Agboola: Okay, so…
79 00:09:20.110 ⇒ 00:09:29.530 Zoran Selinger: our linking with, with Google Ads, NordBeam, basically expired. So whoever has access, I already wrote a message.
80 00:09:29.690 ⇒ 00:09:35.860 Zoran Selinger: the Eden team, whoever has access to both NordVM and Google Ads will be able to reconnect.
81 00:09:36.270 ⇒ 00:09:37.530 Henry Zhao: So probably Stuart, yeah.
82 00:09:38.910 ⇒ 00:09:43.609 Uttam Kumaran: Doesn’t, doesn’t Robert at Eden or Brainforge at Eden have access?
83 00:09:43.610 ⇒ 00:09:44.469 Robert Tseng: Yeah, we do.
84 00:09:45.040 ⇒ 00:09:48.810 Uttam Kumaran: So, can you… can someone just log in with that? If you go into,
85 00:09:49.310 ⇒ 00:09:52.300 Uttam Kumaran: 1Password, you should see that.
86 00:09:52.750 ⇒ 00:09:56.729 Uttam Kumaran: and then, Zoran, you can probably just re-trigger it.
87 00:09:57.060 ⇒ 00:09:57.770 Uttam Kumaran: Let me show you.
88 00:09:57.770 ⇒ 00:10:00.599 Zoran Selinger: So, if I log in with Robert, then?
89 00:10:01.700 ⇒ 00:10:09.049 Robert Tseng: Yeah, I’m actually not sure if I have Google Ads access, but North Beam I do, so I… I… I’m not… yeah, I guess…
90 00:10:09.050 ⇒ 00:10:10.989 Uttam Kumaran: Yeah, try with, try with this one.
91 00:10:12.410 ⇒ 00:10:17.860 Uttam Kumaran: And if not, try… try it with any of… just try through any of the Googles that we have here.
92 00:10:18.150 ⇒ 00:10:22.180 Uttam Kumaran: We have 3, and we have one that is… this one.
93 00:10:22.730 ⇒ 00:10:28.540 Uttam Kumaran: Another ask while you do this is if you… none of these have access, Try and get that.
94 00:10:28.750 ⇒ 00:10:30.300 Zoran Selinger: Okay.
95 00:10:30.440 ⇒ 00:10:30.950 Zoran Selinger: Okay.
96 00:10:30.950 ⇒ 00:10:32.250 Uttam Kumaran: Do you want to take this?
97 00:10:32.920 ⇒ 00:10:33.250 Zoran Selinger: Yes.
98 00:10:33.250 ⇒ 00:10:34.300 Uttam Kumaran: Okay. Yep.
99 00:10:35.350 ⇒ 00:10:36.080 Uttam Kumaran: Cool.
100 00:10:39.480 ⇒ 00:10:40.040 Uttam Kumaran: Okay.
101 00:10:40.040 ⇒ 00:10:43.929 Henry Zhao: Okay, I’m still unclear what needs to be fixed with mobile-friendly, though, because nothing changed.
102 00:10:43.930 ⇒ 00:10:51.459 Uttam Kumaran: I think… I think you’ll have to do… I… yeah, my… I guess you’ll have to do the investigation there, Henry. I don’t think you have an understanding yet.
103 00:10:51.750 ⇒ 00:10:52.310 Henry Zhao: Okay.
104 00:10:52.550 ⇒ 00:11:06.220 Robert Tseng: It may not be anything with mobile-friendly. I think they’re just trying to access it from their phone, and it’s not working, so I don’t actually know the extent of if it’s just the same error, or there’s actually something visually wrong with the mobile reports. Okay.
105 00:11:07.450 ⇒ 00:11:12.479 Henry Zhao: Because I re-visualized some of the desktop stuff, but none of the mobile, so it should be… mobile should be okay.
106 00:11:12.590 ⇒ 00:11:13.450 Henry Zhao: Visually.
107 00:11:14.410 ⇒ 00:11:15.440 Henry Zhao: But I’ll double check.
108 00:11:17.570 ⇒ 00:11:22.030 Uttam Kumaran: I guess my other point is, on alerting. So…
109 00:11:22.130 ⇒ 00:11:28.290 Uttam Kumaran: for both of these, I guess I would have assumed that we’d get alerts I don’t think we…
110 00:11:29.970 ⇒ 00:11:37.280 Uttam Kumaran: necessarily did. I guess that’s… Question for Awash, Demi. One is, like, I think we should just…
111 00:11:37.730 ⇒ 00:11:40.840 Uttam Kumaran: We should move this into the other channel, and then…
112 00:11:41.340 ⇒ 00:11:48.940 Uttam Kumaran: Can we take this opportunity to put some alerts on some of these 4 columns.
113 00:11:51.410 ⇒ 00:11:55.289 Demilade Agboola: What do you mean? Which other channel? Like, the clients, our internal clients?
114 00:11:55.290 ⇒ 00:11:57.930 Uttam Kumaran: No, no, I would move this to our internal one.
115 00:11:58.390 ⇒ 00:11:58.730 Awaish Kumar: Okay.
116 00:11:58.730 ⇒ 00:12:03.589 Demilade Agboola: I think it will cause a lot of spam, because a lot of things will be happening, behind the scenes.
117 00:12:03.730 ⇒ 00:12:09.439 Uttam Kumaran: I guess my pushback there is that there shouldn’t be an alert that isn’t a P0.
118 00:12:11.160 ⇒ 00:12:12.070 Demilade Agboola: Yeah, get that.
119 00:12:12.070 ⇒ 00:12:13.320 Uttam Kumaran: Yeah.
120 00:12:14.580 ⇒ 00:12:23.259 Demilade Agboola: I think my… my issue is just… it can easily be clutter the channel, and sometimes some things aren’t always P0 or something, there are false positives.
121 00:12:25.560 ⇒ 00:12:34.690 Demilade Agboola: I don’t know. I guess, right now, it’s, like, once a… like, one thing pops up a day, or, like, once in two days, so it’s not too bad right now, but there are periods where it does, like, ramp up.
122 00:12:35.200 ⇒ 00:12:38.849 Demilade Agboola: And it can really cause, like, a lot of, like, distractions to the channel.
123 00:12:39.550 ⇒ 00:12:41.360 Demilade Agboola: That’s the opioid.
124 00:12:41.680 ⇒ 00:12:47.620 Uttam Kumaran: Yeah, I think even to that point, though, the fact that there are false positives is a bad…
125 00:12:47.930 ⇒ 00:12:49.739 Uttam Kumaran: a learning design. Like.
126 00:12:49.910 ⇒ 00:13:01.739 Uttam Kumaran: my ask would be… I mean, again, this is just something we’re dealing with on a lot of clients, is, like, if we have false positive alerts, then those are bad alerts. Like, we should only have the ones that are drop everything.
127 00:13:02.010 ⇒ 00:13:03.530 Uttam Kumaran: Right? Type stuff.
128 00:13:03.960 ⇒ 00:13:10.319 Uttam Kumaran: like, this morning would have been a good example of that, right? So I guess my question, in a way, like, I’ll kind of
129 00:13:10.600 ⇒ 00:13:15.420 Uttam Kumaran: I’m kind of tasking you as, like, kind of product owner of alerting…
130 00:13:15.940 ⇒ 00:13:26.829 Uttam Kumaran: is, like, do we feel like we have enough to set this up for Eden? Because I know this hasn’t really been used effectively so far for this client.
131 00:13:30.510 ⇒ 00:13:35.289 Awaish Kumar: Yeah, like, it just needs the regular up, like, the…
132 00:13:35.810 ⇒ 00:13:40.280 Awaish Kumar: I remember some time ago, we captured a few issues.
133 00:13:40.610 ⇒ 00:13:44.290 Awaish Kumar: But it’s just that we were not able to.
134 00:13:44.320 ⇒ 00:13:45.160 Uttam Kumaran: like…
135 00:13:45.210 ⇒ 00:13:55.189 Awaish Kumar: Up to… maintain it, at that level, that we are, like, regularly changing values or advantages.
136 00:13:55.940 ⇒ 00:13:58.049 Awaish Kumar: Fresh, like, these things.
137 00:13:58.580 ⇒ 00:13:59.400 Awaish Kumar: No, it wasn’t.
138 00:13:59.400 ⇒ 00:14:00.170 Uttam Kumaran: Are you?
139 00:14:00.310 ⇒ 00:14:05.899 Uttam Kumaran: Is there a process that you would propose? Like, is this some… you think this is, like, a meeting?
140 00:14:06.040 ⇒ 00:14:07.160 Uttam Kumaran: once a month.
141 00:14:07.890 ⇒ 00:14:08.990 Uttam Kumaran: Or, like…
142 00:14:09.170 ⇒ 00:14:16.569 Uttam Kumaran: Again, for me, the ask is very simple, but I know the implementation is hard, is that we just need to catch issues before clients catch them.
143 00:14:18.600 ⇒ 00:14:26.490 Awaish Kumar: Yeah, I think a regular check-ins is a good idea, to, like, have us focus on this, like, bi-weekly.
144 00:14:27.820 ⇒ 00:14:28.640 Awaish Kumar: checkpoints.
145 00:14:28.640 ⇒ 00:14:31.609 Uttam Kumaran: Let’s just do, like, a data quality meeting, basically, across clients or something.
146 00:14:34.700 ⇒ 00:14:37.759 Demilade Agboola: The other thing to suggest is, like.
147 00:14:38.470 ⇒ 00:14:43.109 Demilade Agboola: The things that power our, like, dashboards, we should always have, like.
148 00:14:43.430 ⇒ 00:14:47.499 Demilade Agboola: Especially the sources, we can try and set up, like, data freshness checks.
149 00:14:47.700 ⇒ 00:14:55.240 Demilade Agboola: Because I think the only way we would have caught this is if we had a freshness check that allowed us to know that, like, hey, we haven’t gotten any new
150 00:14:55.930 ⇒ 00:14:59.850 Demilade Agboola: value data since the 7th of November.
151 00:15:00.380 ⇒ 00:15:04.270 Uttam Kumaran: But you also would have caught it on the… like…
152 00:15:05.210 ⇒ 00:15:06.220 Awaish Kumar: Man, we…
153 00:15:06.220 ⇒ 00:15:07.350 Uttam Kumaran: For the row, right?
154 00:15:08.670 ⇒ 00:15:14.010 Demilade Agboola: I mean, yeah, potentially, because it would have been zero, I would have been like, yeah, there’s no way ad spend should be zero. That is fair.
155 00:15:14.010 ⇒ 00:15:19.690 Uttam Kumaran: What are the clients right now where we want to start implementing data quality stuff? Like, I would say…
156 00:15:20.080 ⇒ 00:15:26.020 Uttam Kumaran: I would say, for me, it’s Eden, Urban Stems, insomnia…
157 00:15:28.960 ⇒ 00:15:37.680 Uttam Kumaran: like, that’s kind of, like, where I would start. So maybe we just do a data quality meeting once every two weeks, OH.
158 00:15:38.130 ⇒ 00:15:42.530 Uttam Kumaran: And then if that becomes too frequent, you can… Make it once a month.
159 00:15:43.060 ⇒ 00:15:45.660 Uttam Kumaran: Can we do one… can we do one tomorrow?
160 00:15:46.520 ⇒ 00:15:50.640 Uttam Kumaran: Okay, we can start tomorrow. Give you a sense why is, like,
161 00:15:51.180 ⇒ 00:15:57.060 Uttam Kumaran: Urban Stems are coming up on renewal, so I just want that channel to go quiet, or, like.
162 00:15:57.660 ⇒ 00:15:59.959 Uttam Kumaran: Looks like more… we’re more in control.
163 00:16:00.120 ⇒ 00:16:02.630 Uttam Kumaran: Similarly for Eden, I just want to solve this.
164 00:16:02.890 ⇒ 00:16:06.250 Uttam Kumaran: And now that I think at least, like, we have a little bit more breathing room.
165 00:16:06.600 ⇒ 00:16:13.260 Uttam Kumaran: I think we can solve this across those two clients, then we can start implementing it across other clients. The second thing is, like.
166 00:16:13.630 ⇒ 00:16:20.449 Uttam Kumaran: I’m also… don’t… I’m not, like, married to Metaplane, so if you guys are like, this tool sucks, or it’s not, like, figuring it out.
167 00:16:20.750 ⇒ 00:16:27.240 Uttam Kumaran: we should try another tool, and that’s the meeting and where we can propose that, so…
168 00:16:27.410 ⇒ 00:16:29.749 Uttam Kumaran: maybe a wage I’ll… I’ll task.
169 00:16:30.850 ⇒ 00:16:35.419 Uttam Kumaran: I’ll pass this to you to post data quality.
170 00:16:38.170 ⇒ 00:16:39.150 Uttam Kumaran: By the way.
171 00:16:42.630 ⇒ 00:16:45.789 Uttam Kumaran: Yeah, 2… I think Tuesdays would be fine.
172 00:16:47.160 ⇒ 00:16:48.770 Uttam Kumaran: Tuesday, or…
173 00:16:48.770 ⇒ 00:16:49.440 Awaish Kumar: Thank you.
174 00:16:49.640 ⇒ 00:16:55.500 Uttam Kumaran: Yeah. Ideally Tuesday, because… At least we get ahead of, like, some of the issues.
175 00:16:56.980 ⇒ 00:16:57.520 Uttam Kumaran: Okay.
176 00:16:57.520 ⇒ 00:17:02.880 Awaish Kumar: But I… I see, like, there was an alert yesterday for one of the table.
177 00:17:03.240 ⇒ 00:17:06.389 Uttam Kumaran: Yeah, but there’s been alerts every day, like…
178 00:17:06.390 ⇒ 00:17:08.939 Awaish Kumar: Oh, like, the freshness alert, I would say.
179 00:17:08.940 ⇒ 00:17:13.059 Uttam Kumaran: Yeah, this was for order… this was for order ship, though.
180 00:17:13.430 ⇒ 00:17:14.750 Awaish Kumar: Oh, okay, it’s a full loadout.
181 00:17:15.079 ⇒ 00:17:17.329 Uttam Kumaran: So, I just don’t think we have it on. Like…
182 00:17:17.700 ⇒ 00:17:22.420 Uttam Kumaran: There’s a row count issue on spend summary, but I don’t know, again, like, I don’t know what that is.
183 00:17:22.760 ⇒ 00:17:27.649 Uttam Kumaran: I… I have some ideas, like, we can talk about that in that meeting, so… Okay, cool.
184 00:17:27.760 ⇒ 00:17:33.329 Uttam Kumaran: So let’s… maybe let’s review also, Amber, the, slides real quick.
185 00:17:35.750 ⇒ 00:17:38.630 Amber Lin: Cool. Let me try and grab them.
186 00:17:41.420 ⇒ 00:17:43.010 Uttam Kumaran: Old one, right? Okay.
187 00:17:43.780 ⇒ 00:17:49.060 Amber Lin: Yeah, there’s a roadmap one, and then there’s a high-level one, so…
188 00:17:49.220 ⇒ 00:17:49.910 Uttam Kumaran: Okay.
189 00:17:49.910 ⇒ 00:17:58.180 Amber Lin: Sent the roadmap one in the chat, and then here is… Alright.
190 00:17:58.970 ⇒ 00:18:01.650 Awaish Kumar: And here’s the weekly update one.
191 00:18:04.630 ⇒ 00:18:08.480 Uttam Kumaran: Okay, so let’s walk through the roadmap one.
192 00:18:35.060 ⇒ 00:18:36.870 Uttam Kumaran: We feel like this is pretty clear.
193 00:19:00.950 ⇒ 00:19:06.769 Uttam Kumaran: I think, one item I want to add here is… I want to add the…
194 00:19:16.940 ⇒ 00:19:24.139 Uttam Kumaran: Okay, Wish, I may tag you here. You can add… The complaint.
195 00:19:24.590 ⇒ 00:19:28.600 Uttam Kumaran: Like, diagram, basically, where we can make sure that that’s up to date.
196 00:19:28.830 ⇒ 00:19:34.990 Uttam Kumaran: I guess maybe for Robert or Zoran, like, anything else we want to have?
197 00:19:35.540 ⇒ 00:19:37.709 Uttam Kumaran: In here, that we’re missing.
198 00:19:45.400 ⇒ 00:19:49.939 Robert Tseng: I guess I could look through the… I mean, hopefully looking through this…
199 00:19:52.440 ⇒ 00:19:55.690 Robert Tseng: Yeah, I think these feel like the right ones,
200 00:19:55.870 ⇒ 00:20:04.889 Robert Tseng: I guess I never follow up to see… they looked at our stuff last week after we changed the permissions, but I’m not really sure. I don’t think we got feedback on it, so…
201 00:20:05.130 ⇒ 00:20:08.970 Robert Tseng: I’ll bunch them on… on there. But no, I think… I think this… this works for this week.
202 00:20:09.740 ⇒ 00:20:17.690 Uttam Kumaran: Okay, I guess, and how do you want to frame this? Do you want to frame this as Q4? Do you want to frame this as, like, Q4 and Q1? Like, there’s just a lot on here.
203 00:20:17.690 ⇒ 00:20:25.019 Robert Tseng: Yeah, yeah, I’m just gonna say it’s Q4, stuff that’s already kind of, like, in flight, but, like, it’s gonna probably bleed into Q1. I think they’re fine with that.
204 00:20:25.020 ⇒ 00:20:25.740 Uttam Kumaran: Okay.
205 00:20:25.980 ⇒ 00:20:26.530 Robert Tseng: Yeah.
206 00:20:34.220 ⇒ 00:20:35.619 Robert Tseng: Yeah, I’ll probably, like…
207 00:20:36.200 ⇒ 00:20:39.389 Robert Tseng: I mean, I could review stuff today, but I was planning to review it tomorrow, so…
208 00:20:39.390 ⇒ 00:20:47.300 Uttam Kumaran: That’s fine, yeah, just in case there’s anything glaring that we’re missing on here, this is a pretty short deck, I’m just gonna get you the entire diagram here.
209 00:20:47.300 ⇒ 00:20:47.840 Robert Tseng: Yep.
210 00:20:47.840 ⇒ 00:20:49.860 Uttam Kumaran: And then that’s kind of it. So…
211 00:20:49.860 ⇒ 00:20:50.510 Robert Tseng: Cool.
212 00:20:50.510 ⇒ 00:20:53.660 Uttam Kumaran: There’s just a lot, so if anything, I would say, like, cut.
213 00:20:54.000 ⇒ 00:20:57.779 Uttam Kumaran: unless everything is important.
214 00:20:57.960 ⇒ 00:21:04.360 Uttam Kumaran: Yeah. And then for the project review, yeah, I think we’re just gonna go through
215 00:21:04.470 ⇒ 00:21:08.600 Uttam Kumaran: we kind of talked a little bit about this. We’re gonna do… we’ll do something on Wicked.
216 00:21:09.930 ⇒ 00:21:11.850 Uttam Kumaran: Okay, this is great.
217 00:21:12.800 ⇒ 00:21:15.819 Uttam Kumaran: Thanks, Beno Gray. I assume, Henry, you worked on these?
218 00:21:16.780 ⇒ 00:21:18.239 Henry Zhao: Some of these, yeah.
219 00:21:18.240 ⇒ 00:21:18.970 Uttam Kumaran: Okay.
220 00:21:20.060 ⇒ 00:21:23.959 Uttam Kumaran: So I’ll walk through these again today.
221 00:21:24.300 ⇒ 00:21:28.140 Uttam Kumaran: the seams… Good?
222 00:21:28.710 ⇒ 00:21:30.210 Uttam Kumaran: Cough.
223 00:21:34.710 ⇒ 00:21:37.979 Uttam Kumaran: Okay, great. I feel pretty good.
224 00:21:39.190 ⇒ 00:21:43.169 Uttam Kumaran: Anything else on… on Eden? So, I guess today.
225 00:21:43.570 ⇒ 00:21:53.689 Uttam Kumaran: Demlati, you and maybe Zorong can confirm and finish up the Google Ads connection. Henry, if you can take a look at the Tableau issue? I don’t… I don’t…
226 00:21:54.080 ⇒ 00:21:59.550 Uttam Kumaran: have… it’s been a while since I’ve done tablet and mobile stuff, so I think you just may have to go through the flow and see what’s going on.
227 00:22:00.750 ⇒ 00:22:06.120 Demilade Agboola: Just to clarify, I don’t think it’s a Tableau issue, it’s not necessarily a Tableau issue, it’s the…
228 00:22:06.460 ⇒ 00:22:06.820 Henry Zhao: Logan.
229 00:22:06.820 ⇒ 00:22:11.369 Demilade Agboola: integration, yeah, so people are trying to download… I don’t think Harry’s on the channel, but…
230 00:22:11.700 ⇒ 00:22:14.239 Demilade Agboola: But basically, what we do is we have setups where
231 00:22:14.420 ⇒ 00:22:20.070 Demilade Agboola: Every day, we distribute reports from the different dashboards across the different stakeholders.
232 00:22:20.640 ⇒ 00:22:21.660 Demilade Agboola: In Eden.
233 00:22:22.030 ⇒ 00:22:28.330 Demilade Agboola: And what that is, is basically PDFs for them, for them to be able to download and look at the dashboard they need to see.
234 00:22:29.070 ⇒ 00:22:33.170 Demilade Agboola: And so the issue is they’ve been trying to download those PDFs.
235 00:22:34.070 ⇒ 00:22:39.409 Demilade Agboola: And instead of it, like, just downloading like it normally would, it’s asking them to sign in.
236 00:22:39.550 ⇒ 00:22:44.409 Demilade Agboola: However, when they use their desktop, at least when Kota uses his desktop, he can just download it.
237 00:22:44.610 ⇒ 00:22:51.950 Demilade Agboola: on his mobile, he needs to sign in, and for, like, Josh as well, it’s also, like, just roll in and not sign in, and not doing anything.
238 00:22:52.320 ⇒ 00:22:57.039 Demilade Agboola: So that’s the weird thing that’s going on. So they haven’t been able to access the PDFs
239 00:22:57.140 ⇒ 00:23:02.680 Demilade Agboola: Of the dashboards. That’s what Adam’s been on about. Josh Josh had a complaint as well.
240 00:23:03.250 ⇒ 00:23:05.190 Demilade Agboola: And Kota also had the conference as well.
241 00:23:08.070 ⇒ 00:23:08.710 Uttam Kumaran: Okay.
242 00:23:10.510 ⇒ 00:23:12.749 Uttam Kumaran: So, Henry, I’ll let you kind of, like.
243 00:23:12.750 ⇒ 00:23:13.350 Henry Zhao: Yep.
244 00:23:13.570 ⇒ 00:23:14.300 Uttam Kumaran: I don’t.
245 00:23:14.500 ⇒ 00:23:17.770 Demilade Agboola: Yeah, if you’re listening with me, we can, like, triage that as well.
246 00:23:20.790 ⇒ 00:23:29.930 Henry Zhao: Thanks, and the other thing is I gotta figure out attribution with Zoran today. I’m still not convinced that the order completed his firing Zoran, so… if you have some time to meet after this, maybe we can go through it together.
247 00:23:31.730 ⇒ 00:23:32.719 Zoran Selinger: Yeah, we commit.
248 00:23:33.500 ⇒ 00:23:34.190 Henry Zhao: Thank you.
249 00:23:34.580 ⇒ 00:23:35.150 Uttam Kumaran: Okay.
250 00:23:36.010 ⇒ 00:23:41.339 Uttam Kumaran: Great, let’s talk about, insomnia.
251 00:23:42.760 ⇒ 00:23:48.640 Uttam Kumaran: So, goals for this week, I guess…
252 00:23:48.900 ⇒ 00:23:52.909 Uttam Kumaran: Robert, do you want to refresh how Friday went, and then I have some goals.
253 00:23:53.600 ⇒ 00:23:54.880 Uttam Kumaran: But, yeah.
254 00:23:54.880 ⇒ 00:24:11.580 Robert Tseng: Yeah, I mean, I think I basically was telling Utam, I think the risk on this client is… I mean, clearly we’re seeing how slow they’re moving on, like, tech decisions. You know, we’re gonna… even if we keep saying, oh, we’re blocked by XYZ, like, they’re not gonna move any faster, it’s just kind of what it is, so…
255 00:24:11.680 ⇒ 00:24:18.320 Robert Tseng: Unfortunately, it’s just a tough spot to be in. We just have to be effective with what we do have, and so, I think
256 00:24:18.630 ⇒ 00:24:35.140 Robert Tseng: the number one priority is, like, getting Birdie’s, like, performance up, pretty much, because her own channel performance continues to dip, and so it’s really just analysis. Obviously, like, we need to be able to stitch data together, but just…
257 00:24:35.180 ⇒ 00:24:40.639 Robert Tseng: So it’s kind of just more of the same, but just… there’s acknowledgement from their side that, like.
258 00:24:40.720 ⇒ 00:24:57.759 Robert Tseng: these are blockers. Even if you keep yelling at us that we need to unblock you, we can’t unblock you. And, you know, it’s kind of like, you know, if this is gonna be, like, a dying ship, like, we’re just gonna wrap up end of December. Like, so I think, that’s kind of the situation. But to me, the way I see it is we have…
259 00:24:57.760 ⇒ 00:25:17.169 Robert Tseng: like, a month and a half to keep pushing as much as we can. I think the best thing that we can do is just get really close and make… making sure that, Birdie is, like, using, the insights that we make, see some sort of progress on… on her side, and that should be, like, that’s the best that we can do. But as far as, like.
260 00:25:17.280 ⇒ 00:25:19.820 Robert Tseng: Tech… anything, like, technical…
261 00:25:19.950 ⇒ 00:25:32.119 Robert Tseng: like, engineering… engineering’s not a priority for them, so we’re just doing as much as we can to unblock ourselves, to… to be able to make ourselves work, like, to… whatever, to… to streamline the stuff that we’re doing.
262 00:25:32.350 ⇒ 00:25:40.009 Robert Tseng: And other than that, there were… we’re… we’re not really going to… we’re not really going to expand much scope, during… during this time.
263 00:25:41.510 ⇒ 00:25:46.370 Uttam Kumaran: Okay, so how do… I guess, tell me how that impacts… there’s kind of 3 other…
264 00:25:47.440 ⇒ 00:25:51.410 Uttam Kumaran: I guess there’s a couple other work streams on the engineering side. There’s one, there’s me, like.
265 00:25:51.780 ⇒ 00:25:54.710 Uttam Kumaran: pushing for warehouse and stuff like that? Should I just.
266 00:25:54.710 ⇒ 00:26:11.049 Robert Tseng: Yeah, I think we should take the risk and just move forward and not ask for permission. Yeah. And then, on my side, I’m going to keep knocking on other doors in marketing. I’m trying to get us access to the paid media side of the house. I think that’s…
267 00:26:11.050 ⇒ 00:26:16.649 Robert Tseng: that might be a better place to press than… than the own marketing, but, that… I don’t know, that’s…
268 00:26:16.750 ⇒ 00:26:29.639 Robert Tseng: That’s what I’m trying to do. Like, we’ve outlined what the different kind of work streams could be, but realistically, only one out of the four is going to remain scoped for the rest of the year. So, I’m just… that’s… that’s what I’m trying to communicate here.
269 00:26:29.920 ⇒ 00:26:30.630 Uttam Kumaran: Okay.
270 00:26:30.880 ⇒ 00:26:31.450 Robert Tseng: Yeah.
271 00:26:32.170 ⇒ 00:26:40.820 Uttam Kumaran: And then what have, like, did anything happen with the currents thing? Like, I can keep pushing that, otherwise, like, yeah, I don’t…
272 00:26:40.820 ⇒ 00:26:44.819 Robert Tseng: Yeah, apparently they said that they gave… they sent us the emails. I thought our team was kind of monitoring it.
273 00:26:44.820 ⇒ 00:26:49.989 Uttam Kumaran: I am, and I’m emailing them back, like, we’re… we’re not missing any emails, yeah.
274 00:26:49.990 ⇒ 00:27:00.050 Robert Tseng: Okay, well, I think there’s… I guess I didn’t really… I didn’t follow, but they… and Rita was telling me that
275 00:27:00.350 ⇒ 00:27:06.600 Robert Tseng: Ray’s came back with something, and, like, I don’t know, like, balls in our court. I don’t really know what that meant.
276 00:27:06.600 ⇒ 00:27:23.060 Uttam Kumaran: She’s totally joshing. I’m like, I’m literally emailing him back and forth. She’s not putting me onto a thread. She’s literally like, hey, here’s a forward of what the thread is, what are the answers to these questions? And I’ve sent an extremely detailed answer to every single question.
277 00:27:23.170 ⇒ 00:27:24.420 Uttam Kumaran: And so, like.
278 00:27:25.660 ⇒ 00:27:34.260 Uttam Kumaran: I need… we just need to get on the phone with… there’s a chief digital guy who’s clearly like, what are you people asking me for? These marketing people…
279 00:27:34.370 ⇒ 00:27:41.340 Uttam Kumaran: Can’t answer that. And then they’re forwarding it to your email, being like, what are the answers to their questions?
280 00:27:42.070 ⇒ 00:27:51.060 Uttam Kumaran: I’m like, can you just connect the adults in the room, please? And, like, I can talk to that guy, and get this… get at least a decision.
281 00:27:51.320 ⇒ 00:28:04.710 Robert Tseng: Okay, so maybe that’s what we do. We just… we just ask Emery to talk to whatever the guy’s name is Mark, or whatever his… yeah. I’ve never talked to him, so I don’t even know… I can’t even… I don’t know what his face is. I don’t even know.
282 00:28:05.400 ⇒ 00:28:06.799 Uttam Kumaran: Okay. Okay.
283 00:28:08.490 ⇒ 00:28:14.170 Uttam Kumaran: Yeah, that’s what I would… That’s what I would like to suggest, so…
284 00:28:15.420 ⇒ 00:28:20.309 Uttam Kumaran: Okay, but I’ll keep… I’m just gonna keep pushing for that. So, we have, like, currents.
285 00:28:20.760 ⇒ 00:28:23.129 Uttam Kumaran: data warehouse, I’m just gonna say, like.
286 00:28:23.740 ⇒ 00:28:29.269 Uttam Kumaran: I’m just gonna keep pressure on, kind of, like, what I did last week. So, we made progress last week,
287 00:28:29.850 ⇒ 00:28:33.160 Uttam Kumaran: But, like, yeah, I mean… It may or may not happen.
288 00:28:33.770 ⇒ 00:28:37.750 Uttam Kumaran: Great. I mean, yeah, Amber…
289 00:28:37.990 ⇒ 00:28:44.269 Uttam Kumaran: Bertie and I are meeting today at 11 Central. So…
290 00:28:44.270 ⇒ 00:28:45.530 Robert Tseng: Great. Yeah.
291 00:28:46.040 ⇒ 00:28:50.889 Uttam Kumaran: If we can just briefly spend a moment… unless… is there… are there any other…
292 00:28:51.110 ⇒ 00:28:58.060 Uttam Kumaran: Anything else you want to talk about? I mean, like, I’m gonna keep making sure that this daily thing works, but, like.
293 00:28:58.190 ⇒ 00:29:00.540 Uttam Kumaran: It’s such a shitty process.
294 00:29:00.640 ⇒ 00:29:03.620 Uttam Kumaran: like, the daily scorecard update that
295 00:29:04.740 ⇒ 00:29:10.789 Uttam Kumaran: I’m kind of like… I don’t… it’s so hard to maintain, it’s like a 30… 30 minutes to an hour long…
296 00:29:11.570 ⇒ 00:29:15.089 Uttam Kumaran: pretty piecemeal copy-paste job, like… Yeah.
297 00:29:16.320 ⇒ 00:29:26.440 Uttam Kumaran: But, like, alright, I’m just complaining at this point, so we’ll just keep doing that. Let’s talk about, is there anything else beyond this? And then I want to spend maybe a few minutes talking about what we want to get out of that birdie meeting.
298 00:29:26.710 ⇒ 00:29:28.549 Robert Tseng: No, that’s… that’s… that’s it, yeah.
299 00:29:28.550 ⇒ 00:29:30.600 Uttam Kumaran: Okay, so let’s talk about,
300 00:29:31.220 ⇒ 00:29:36.389 Uttam Kumaran: that, I guess, Amber, can you point me to… The deck, and then…
301 00:29:36.390 ⇒ 00:29:38.070 Amber Lin: Let me grab it.
302 00:29:39.400 ⇒ 00:29:40.025 Amber Lin: Mmm…
303 00:29:42.580 ⇒ 00:29:52.410 Robert Tseng: Amrita’s giving me a shot to do, like, a QBR at the end of the month, so that’s kind of, like, the next target for me. But yeah, in order to do that, I’m gonna need Birdie to be, like.
304 00:29:52.710 ⇒ 00:30:04.990 Robert Tseng: Yeah, after I implemented, Brainforge’s recommendations, like, things got better. Like, that’s… that’s… that’s what’s gonna need to come out of that meeting for the CEO to be like, oh, okay, this is actually worth spending.
305 00:30:04.990 ⇒ 00:30:06.759 Uttam Kumaran: When is that?
306 00:30:09.470 ⇒ 00:30:11.090 Uttam Kumaran: Is that… when is that? End of this month?
307 00:30:11.090 ⇒ 00:30:17.200 Robert Tseng: Yeah, we haven’t scheduled it yet, but yeah, I told her, just give, give us a, give us a sh… give us a chance on the end of November.
308 00:30:17.740 ⇒ 00:30:18.150 Uttam Kumaran: step.
309 00:30:18.150 ⇒ 00:30:21.600 Robert Tseng: It’ll probably be after Thanksgiving, like, I don’t think they’re gonna schedule it now.
310 00:30:22.310 ⇒ 00:30:23.100 Uttam Kumaran: Okay.
311 00:30:23.100 ⇒ 00:30:23.680 Robert Tseng: Yeah.
312 00:30:25.230 ⇒ 00:30:28.909 Amber Lin: I sent the slides in our chat, in the Zoom chat.
313 00:30:29.570 ⇒ 00:30:30.500 Uttam Kumaran: Okay.
314 00:30:35.270 ⇒ 00:30:39.470 Uttam Kumaran: Cool, so… Can we walk through…
315 00:30:41.740 ⇒ 00:30:44.280 Uttam Kumaran: feedback from Birdie, and then…
316 00:30:44.640 ⇒ 00:30:51.959 Uttam Kumaran: like, what part of the slides, and I can help facilitate, but Amber, I would like it to be sort of how the default meeting went, which is, like.
317 00:30:52.900 ⇒ 00:30:55.349 Uttam Kumaran: Do you have the, kind of, the most context?
318 00:30:55.620 ⇒ 00:31:00.390 Uttam Kumaran: And then I’ll just… I’ll… play whatever role I can play.
319 00:31:00.560 ⇒ 00:31:05.860 Uttam Kumaran: But, like, if I was to make a slide at the end of this.
320 00:31:06.110 ⇒ 00:31:12.910 Uttam Kumaran: That is sort of focused on… this meeting…
321 00:31:17.740 ⇒ 00:31:21.009 Uttam Kumaran: maybe I could just call it, like, here,
322 00:31:21.750 ⇒ 00:31:24.579 Uttam Kumaran: I’m just gonna say, open to questions.
323 00:31:27.270 ⇒ 00:31:32.389 Uttam Kumaran: Cool. What are some of them that she, like, highlighted? Open questions or comments?
324 00:31:38.480 ⇒ 00:31:40.250 Uttam Kumaran: So this one, right?
325 00:31:43.360 ⇒ 00:31:44.860 Uttam Kumaran: like, audience size?
326 00:31:45.930 ⇒ 00:31:48.159 Robert Tseng: Okay, so, okay, you’re asking me, okay, what.
327 00:31:48.160 ⇒ 00:31:49.320 Uttam Kumaran: Yes, anyone, anyone, yeah.
328 00:31:49.320 ⇒ 00:32:03.859 Robert Tseng: Yeah, yeah. She… she didn’t like this readout that… that we’re showing this thread, because Amber assumed that, like… or, well, I don’t want to make accidents, whatever, it’s just… we… the nuance of, like, we’re comparing performance of, like.
329 00:32:04.150 ⇒ 00:32:08.369 Robert Tseng: NSOs, which the audience size is, like, under 10,000, to, like.
330 00:32:08.370 ⇒ 00:32:26.669 Robert Tseng: you know, the broad… broad campaign, which is probably, like, 600,000. So, there’s an audience size mismatch here, so I think she just… Birdie just wanted us to consider that. I was trying to understand, like, what are the different thresholds for her, like, what audience size threshold she cares about, she doesn’t really talk about that, so…
331 00:32:26.670 ⇒ 00:32:28.989 Robert Tseng: I think that’s worth kind of, like, understanding
332 00:32:28.990 ⇒ 00:32:39.510 Robert Tseng: okay, like, for, like, a smaller campaign, what would you expect for, like, what would you expect in conversion rates for a smaller one versus a larger audience?
333 00:32:39.590 ⇒ 00:32:53.029 Robert Tseng: Like, and then, obviously, the smaller audience is not a stronger… it’s not a strong lever, because it’s a very small audience. So, it’s, like, trying to figure out, well, what’s worth the squeeze here? Do we want to push you to do more, like.
334 00:32:53.030 ⇒ 00:33:02.940 Robert Tseng: broader campaigns, or are we helping you to optimize, like, death by a thousand cuts, like, on the smaller campaigns? I think there has to be…
335 00:33:03.220 ⇒ 00:33:12.939 Robert Tseng: Yeah, I think that’s… maybe the answer was both, like, I don’t know. I think that’s… I want to know, like, what does she have capacity to actually go in and build out?
336 00:33:13.130 ⇒ 00:33:14.790 Robert Tseng: yeah.
337 00:33:14.790 ⇒ 00:33:29.910 Amber Lin: Yeah, and I did a bit of further analysis based on her question, so I accounted for audience size this time, put on slide 7, so I was wondering if we can ask her for the questions that you mentioned, of what threshold she’s aiming for, because now I have…
338 00:33:30.030 ⇒ 00:33:38.450 Amber Lin: Comparison total revenue, total messages sent, total campaigns sent, and then the… The efficiency.
339 00:33:40.250 ⇒ 00:33:40.910 Robert Tseng: Yeah.
340 00:33:41.080 ⇒ 00:33:54.419 Robert Tseng: Yeah, we were mostly looking at, like, message volume and frequency, or whatever, but, like, yeah, I think to her, there’s also, like, this audience size component to it that we just didn’t really consider.
341 00:33:59.630 ⇒ 00:34:00.340 Uttam Kumaran: Okay.
342 00:34:04.700 ⇒ 00:34:18.459 Robert Tseng: But look, like, if the takeaway is, like, Bertie, you have a category that you’re not spending any time on that you just need to do because it will yield the best return in the short term, that’s what you should do. Like, that’s… that’s what she should come away from this meeting with. Like,
343 00:34:18.600 ⇒ 00:34:24.470 Robert Tseng: should be like, oh, I didn’t realize that I haven’t been doing enough B2B, like, I don’t know, like, whatever the recommendation is.
344 00:34:29.510 ⇒ 00:34:41.180 Robert Tseng: Because I think she just inherited a bunch of stuff, and it’s just, like, doing, like, micro-optimizations on, like, changing the subject lines here and there, but she’s not, like, seeing the bigger picture that, like, I guess Amber is, like, from looking across the data.
345 00:34:42.730 ⇒ 00:34:49.029 Uttam Kumaran: So, her comment here, NSO conversion rate’s higher because the audience is smaller, these are all NSO, right?
346 00:34:49.320 ⇒ 00:34:49.940 Robert Tseng: Yeah.
347 00:34:52.440 ⇒ 00:34:57.669 Uttam Kumaran: I mean, the conversion rate doesn’t look very high, to be honest, but, like… No, they’re not high, but these open rates are very high, right?
348 00:34:58.480 ⇒ 00:35:02.770 Robert Tseng: Yeah. I mean, their opener rates in general are, like, pretty high.
349 00:35:04.210 ⇒ 00:35:05.550 Uttam Kumaran: I mean, yeah, I mean…
350 00:35:05.780 ⇒ 00:35:11.920 Uttam Kumaran: I would say there’s… I’m not seeing consistent, like, high conversion rates. I feel like 1-3% is, like, usually…
351 00:35:12.100 ⇒ 00:35:14.490 Uttam Kumaran: Good, right? These are all, like, less than 1%.
352 00:35:14.900 ⇒ 00:35:20.760 Robert Tseng: Yeah, I mean, across their portfolio, it’s less than 1%, so this is higher than their average.
353 00:35:20.760 ⇒ 00:35:23.069 Uttam Kumaran: Yeah, I guess my question I would ask her is.
354 00:35:23.470 ⇒ 00:35:30.800 Uttam Kumaran: in this… in this meeting, I’m gonna ask her how she determined… do we have an understanding of how they’re determining these
355 00:35:32.430 ⇒ 00:35:33.640 Uttam Kumaran: volumes?
356 00:35:34.310 ⇒ 00:35:49.649 Robert Tseng: that’s just off of… that’s just off of, like, Casey’s manual thing. So, also, this is wrong, because conversion rates are, like, inflated, right? So, like, without the current data, this data set that she’s looking at is wrong. I think the message volumes are probably…
357 00:35:50.350 ⇒ 00:35:59.939 Robert Tseng: accurate. I mean, I don’t know if we really audited, like, what the difference was. I think Amber had a slide about, like, something about being a 200% delta, but that was only off of
358 00:36:00.110 ⇒ 00:36:06.480 Robert Tseng: revenue, question mark, so, like, I don’t know if that same discrepancy impacts message volumes, but…
359 00:36:06.480 ⇒ 00:36:07.300 Amber Lin: I killed…
360 00:36:07.300 ⇒ 00:36:08.029 Robert Tseng: It’s like, kind of…
361 00:36:08.030 ⇒ 00:36:11.760 Amber Lin: conversions and number of purchases, there’s also.
362 00:36:11.950 ⇒ 00:36:24.009 Robert Tseng: Okay, well, this is what she’s anchored to, so if it’s like, look, Bertie, you’ve been looking at the source, it’s wrong, it’s off by a factor of 2X, and, like, the takeaway is not what you think it is, like, I don’t know, there’s also kind of, like, needing to…
363 00:36:24.570 ⇒ 00:36:25.510 Robert Tseng: Brain Basker.
364 00:36:25.510 ⇒ 00:36:25.870 Uttam Kumaran: That’s insane.
365 00:36:25.870 ⇒ 00:36:27.370 Robert Tseng: She just looks at this, and she… yeah.
366 00:36:27.370 ⇒ 00:36:29.500 Uttam Kumaran: Yeah, I can take that, that’s fine.
367 00:36:30.060 ⇒ 00:36:36.340 Uttam Kumaran: So we have this… I guess my other question is, like, yeah, I guess, how is she determining these…
368 00:36:37.000 ⇒ 00:36:40.209 Uttam Kumaran: Audience sizes, basically.
369 00:36:40.830 ⇒ 00:36:43.070 Uttam Kumaran: right?
370 00:36:43.070 ⇒ 00:36:55.419 Robert Tseng: Yeah, so the new store offers is all geographic targeted, so it’s like, oh, we order… opened a store in Dallas, and so it’s just gonna be, like, targeting, whoever has, like, a Dallas zip code, or… or, I don’t know, like, something…
371 00:36:55.550 ⇒ 00:36:57.410 Robert Tseng: It’s some geo-targeting.
372 00:36:57.410 ⇒ 00:36:58.410 Uttam Kumaran: or offer?
373 00:36:59.000 ⇒ 00:37:00.760 Robert Tseng: Yeah, new store opening.
374 00:37:01.070 ⇒ 00:37:01.980 Uttam Kumaran: New store opening, okay.
375 00:37:01.980 ⇒ 00:37:10.009 Robert Tseng: Yeah, or yeah, new store opening offer, or whatever. Yeah, it’s like a… something around a… and a new store is a store that has opened in the past year.
376 00:37:10.830 ⇒ 00:37:11.420 Uttam Kumaran: Okay.
377 00:37:11.710 ⇒ 00:37:12.230 Robert Tseng: Yeah.
378 00:37:29.540 ⇒ 00:37:30.590 Uttam Kumaran: Okay.
379 00:37:30.590 ⇒ 00:37:42.379 Robert Tseng: Amber, have you looked at her qualitative, like, these are… this is the mapping of the visual for, like, the ad that I’m running versus, like, the… versus the, the performance metrics?
380 00:37:42.800 ⇒ 00:37:43.810 Amber Lin: I feel like…
381 00:37:44.160 ⇒ 00:37:47.450 Robert Tseng: Yeah, I mean, that’s… that’s floating around somewhere,
382 00:37:48.470 ⇒ 00:38:00.000 Robert Tseng: that’s probably something that we should look at, so we’re not… like, I don’t know, we don’t want to tell her, oh, run a bunch of new… new store opening campaigns, because she’s going to be like, well, we didn’t open that many stores, so…
383 00:38:00.000 ⇒ 00:38:01.730 Uttam Kumaran: What are they using for emails?
384 00:38:02.440 ⇒ 00:38:03.580 Robert Tseng: everything is braced.
385 00:38:07.860 ⇒ 00:38:10.989 Uttam Kumaran: So, basically, you’re like, can we see what the emails look like?
386 00:38:11.150 ⇒ 00:38:16.109 Robert Tseng: Yeah, I mean, they have something like… I think she shared something like that, let me see if I can fish it out.
387 00:38:51.180 ⇒ 00:38:53.630 Uttam Kumaran: So, Amber, can you walk me through this slide?
388 00:38:54.920 ⇒ 00:39:04.649 Amber Lin: This one. So this is based on, you know the three lines that you copy and pasted in the open question slide about what campaigns they should optimize? This is a…
389 00:39:04.830 ⇒ 00:39:07.870 Amber Lin: Extended analysis, but using…
390 00:39:08.180 ⇒ 00:39:17.920 Amber Lin: we’re using total number of messages sent this time. So, for example, you can see total messages sent is a yellow line, so NSO is really, really low.
391 00:39:18.260 ⇒ 00:39:34.219 Amber Lin: But then we can also see that we might need some more classification on the other category, because they account for a lower number of campaigns, but they’re still, they’re still very high in volume, so we need to look further into that.
392 00:39:34.380 ⇒ 00:39:39.629 Amber Lin: And otherwise, we can see that on rewards and B2B,
393 00:39:40.210 ⇒ 00:39:49.029 Amber Lin: They’re the second and third highest in revenue, but we send a lot less, so we have a very low yellow bar.
394 00:39:49.580 ⇒ 00:39:51.100 Amber Lin: And then on…
395 00:39:51.100 ⇒ 00:39:56.690 Uttam Kumaran: One more question. What is, this red line is cost per message, or.
396 00:39:57.260 ⇒ 00:39:57.750 Uttam Kumaran: Sage.
397 00:39:57.750 ⇒ 00:39:59.689 Amber Lin: Revenue per message.
398 00:40:00.110 ⇒ 00:40:00.880 Uttam Kumaran: Okay.
399 00:40:06.010 ⇒ 00:40:11.609 Uttam Kumaran: Yeah, I mean, this is a glaring… F up, like… They need to fix this.
400 00:40:12.460 ⇒ 00:40:14.900 Uttam Kumaran: whatever this other is. So, that is…
401 00:40:14.900 ⇒ 00:40:31.620 Amber Lin: We defined campaign taxonomy. We already made this a lot better before. Other was, like, 60, 70%. Robert already made this a lot lower. This is only 14% of campaigns, but it takes up a large part of their volume.
402 00:40:33.360 ⇒ 00:40:38.180 Uttam Kumaran: It’s 14% of the number of campaigns, but what percentage of the volume is it?
403 00:40:38.630 ⇒ 00:40:42.580 Amber Lin: That I need to check, but you can already see it’s very high.
404 00:40:42.790 ⇒ 00:40:48.249 Uttam Kumaran: I, yeah, both of those… So that’s something, again, we can talk to her about what to do there.
405 00:40:48.700 ⇒ 00:40:53.339 Uttam Kumaran: We can just… I’ll just help you make a decision, and we can mix this.
406 00:40:53.560 ⇒ 00:40:55.970 Uttam Kumaran: This should be the smallest category, basically.
407 00:40:56.520 ⇒ 00:40:58.629 Uttam Kumaran: So, otherwise, I mean, it looks like…
408 00:41:02.180 ⇒ 00:41:05.769 Uttam Kumaran: My other ask is for you to do this,
409 00:41:06.110 ⇒ 00:41:12.029 Uttam Kumaran: Do we have the data from last year? Or, like, throughout the year, for emails?
410 00:41:13.540 ⇒ 00:41:20.179 Amber Lin: Depending… yeah, depending on when the campaign is, we have overall campaign data.
411 00:41:20.180 ⇒ 00:41:23.620 Uttam Kumaran: like, I would like to see a couple of these campaigns.
412 00:41:23.990 ⇒ 00:41:25.700 Amber Lin: on, like, seasonal.
413 00:41:26.800 ⇒ 00:41:34.120 Uttam Kumaran: So, ideally, you can say in November, you should be pushing more to here, or to here, that could be another thing we could do?
414 00:41:34.420 ⇒ 00:41:39.759 Amber Lin: I did do that, but we don’t have it in this slide.
415 00:41:40.020 ⇒ 00:41:45.669 Uttam Kumaran: Okay, or if you… even if you just have, like, what the… what the outputs were, that could be something.
416 00:41:48.230 ⇒ 00:41:49.190 Uttam Kumaran: I mean…
417 00:41:52.840 ⇒ 00:41:58.540 Uttam Kumaran: Yeah, I guess my question is gonna be why they aren’t prioritizing These…
418 00:42:02.320 ⇒ 00:42:09.899 Uttam Kumaran: Yeah, B2B, I would assume they have limited B2B customers, but rewards, I don’t know why they’re sending so little.
419 00:42:10.910 ⇒ 00:42:11.560 Uttam Kumaran: Yeah.
420 00:42:12.230 ⇒ 00:42:13.480 Uttam Kumaran: And then…
421 00:42:17.990 ⇒ 00:42:22.560 Uttam Kumaran: Yeah, I mean, her point was, like, new store conversion rate is higher because the audience is so much smaller.
422 00:42:22.810 ⇒ 00:42:28.290 Uttam Kumaran: Great, it doesn’t really… I don’t like… that’s like… Sure.
423 00:42:28.660 ⇒ 00:42:32.010 Uttam Kumaran: But, like, you’re sending all this free delivery stuff.
424 00:42:33.480 ⇒ 00:42:35.589 Uttam Kumaran: And do you also have the costs?
425 00:42:37.510 ⇒ 00:42:40.910 Uttam Kumaran: Oh, this is the… yeah, do you also have the cost data?
426 00:42:42.190 ⇒ 00:42:47.419 Amber Lin: That would be in Casey’s dataset, I haven’t… it’s not in mother duck, so I haven’t…
427 00:42:47.420 ⇒ 00:42:50.199 Uttam Kumaran: Do spots really matter here, Robert? Like, do we care?
428 00:42:50.690 ⇒ 00:42:51.309 Robert Tseng: No, I don’t think so.
429 00:42:51.310 ⇒ 00:42:51.820 Uttam Kumaran: Okay.
430 00:42:51.820 ⇒ 00:42:52.500 Robert Tseng: My boss is really low.
431 00:42:52.500 ⇒ 00:42:59.650 Uttam Kumaran: then it doesn’t matter. So then my question is gonna be, Well, like, Are we in agreeance?
432 00:42:59.900 ⇒ 00:43:06.950 Uttam Kumaran: like… That we should be scaling these up, basically, as they’re… they’ve shown the most efficient.
433 00:43:07.620 ⇒ 00:43:15.639 Uttam Kumaran: And second, my piece is going to be, we need to comp… we need to report categorize these into these buckets, or into separate buckets, because…
434 00:43:16.290 ⇒ 00:43:18.479 Uttam Kumaran: This is a shit ton. So…
435 00:43:18.660 ⇒ 00:43:32.549 Uttam Kumaran: Yeah, I mean, the other angle we’re not taking here is everything they look at is year-over-year. I mean, they’re just, like, very rigid with this, like, quarter over quarter, year over year, like, that’s why the marketing performance tracker is set up like a financial, like, report that way.
436 00:43:32.750 ⇒ 00:43:43.039 Robert Tseng: So, Bertie’s gonna come up, and she’s gonna say, or, I mean, I… just… we’re just looking at everything in aggregate right now, we’re not really doing any period… period over period analysis.
437 00:43:43.280 ⇒ 00:43:44.520 Robert Tseng: So…
438 00:43:44.700 ⇒ 00:43:55.759 Robert Tseng: I think that’s… that’s, like, that’s something we’re missing. Like, she’s gonna get fired by the end of the year because her year-over-year performance is not good. Like, that’s kind of what it’s… that’s what it looks… that’s what it’s looking like.
439 00:43:55.760 ⇒ 00:44:01.130 Uttam Kumaran: So, it’s like… but what is her point, then? Like, she’s not doing that, or she’s…
440 00:44:01.260 ⇒ 00:44:03.219 Uttam Kumaran: She, there, you mean, yeah.
441 00:44:03.220 ⇒ 00:44:17.449 Robert Tseng: she sees year-over-year performance, and based off of the marketing performance tracker, like, we have it, we have that data, you can see it the way that Casey lays it out. It looks like own channel is off by, like, a factor of, like, minus 30%, like, year-over-year on every week.
442 00:44:17.450 ⇒ 00:44:27.599 Robert Tseng: And then she goes and she looks at the channel that’s, like, not doing well, and then she tries to make, like, some micro-optimizations to it, but it’s not… it’s not really turning the ship around.
443 00:44:27.600 ⇒ 00:44:34.560 Robert Tseng: So, like, that’s… that’s where she’s… she’s just kind of, like, I… I don’t really think she can… she can dig herself out of this hole.
444 00:44:35.110 ⇒ 00:44:35.930 Uttam Kumaran: Okay.
445 00:44:35.930 ⇒ 00:44:36.470 Robert Tseng: Yeah.
446 00:44:36.800 ⇒ 00:44:52.409 Robert Tseng: I mean, she could probably tell you that. You can… you can just, like, kind of… you can share these things with her, and just, like, ask her what she thinks, like, you know, but I think… you guys look… you’re… we’re looking at it from an angle that she’s not looking at. I’m just trying to explain how she’s gonna see things.
447 00:44:52.410 ⇒ 00:44:53.789 Uttam Kumaran: Yeah, yeah, yeah, okay, okay.
448 00:44:58.110 ⇒ 00:45:08.270 Robert Tseng: I don’t think she understands this campaign mix, she just knows that email’s down, and so she looks at, like, what email campaigns were run in this week, last year, this particular week, last week.
449 00:45:08.310 ⇒ 00:45:21.249 Robert Tseng: what did they do well, what did… what are we not doing, and then she tries to, like, copy and, like, change a couple things, and she’s… and she hopes that that changes… she… yeah, well, that’s… that’s her approach, and I don’t… I just…
450 00:45:21.540 ⇒ 00:45:25.430 Robert Tseng: She’s not gonna… she’s not gonna make any tangible difference that way.
451 00:45:25.560 ⇒ 00:45:26.360 Uttam Kumaran: Okay, okay.
452 00:45:26.600 ⇒ 00:45:37.190 Uttam Kumaran: Okay, great. I feel like I have enough. I mean, yeah, I can talk about email all day about this stuff, so… let me… let me… we’ll talk to her today and sort of get an understanding,
453 00:45:37.550 ⇒ 00:45:42.640 Uttam Kumaran: Maybe if I can just talk about a couple of the other clients,
454 00:45:43.320 ⇒ 00:45:58.350 Uttam Kumaran: I think while, Devilate, you’re on, I’m going to, send you over requirements for HITRA, ideally, like, later today. I got, like, a kind of a roadmap there, and then as soon as you give me the okay, I can…
455 00:45:58.470 ⇒ 00:46:00.430 Uttam Kumaran: I’ll loop you in with a client.
456 00:46:00.550 ⇒ 00:46:04.849 Uttam Kumaran: They’re a startup, so they’re, like, kind of, like, always online.
457 00:46:05.180 ⇒ 00:46:10.699 Uttam Kumaran: I’ve been working mostly on the evenings, like, they haven’t been too bad, but…
458 00:46:10.830 ⇒ 00:46:14.950 Uttam Kumaran: It’s just, like, a set of a bunch of ABT models thing.
459 00:46:15.270 ⇒ 00:46:23.889 Uttam Kumaran: On Honey Stinger, yeah, we also have follow-ups there. So, Henry, I’ll probably loop you in on Roadmap there today as well.
460 00:46:23.890 ⇒ 00:46:24.970 Henry Zhao: Okay, awesome.
461 00:46:25.570 ⇒ 00:46:29.360 Uttam Kumaran: Cool, so if we can just… if, for both of you guys, just close out whatever…
462 00:46:29.750 ⇒ 00:46:33.770 Uttam Kumaran: try to just set yourself up this week on Eden, and then…
463 00:46:34.050 ⇒ 00:46:37.160 Uttam Kumaran: Done a lot on urban stems to kind of carve out some time there.
464 00:46:37.700 ⇒ 00:46:44.919 Uttam Kumaran: And then Awash, I think, really, the data quality stuff on Urban Sems could be, great today.
465 00:46:46.730 ⇒ 00:46:53.009 Uttam Kumaran: who else am I missing? Default has a board meeting today that they’re presenting our data on, so that’s great.
466 00:46:53.560 ⇒ 00:46:57.280 Uttam Kumaran: Yeah.
467 00:46:57.540 ⇒ 00:47:02.379 Uttam Kumaran: I guess I don’t know if there’s any other client stuff that’s, like, super high priority to talk about.
468 00:47:02.700 ⇒ 00:47:07.340 Robert Tseng: Yeah, I think the… now that README’s back, I’m gonna be pushing them a bit more this week.
469 00:47:07.750 ⇒ 00:47:16.630 Robert Tseng: I know that we’re kind of off-contract, I’m like, I’m not really sure, I thought we were gonna send them a message, like, I… I guess, like, that’s… that’s kind of an open-ended, like, I don’t know how much…
470 00:47:16.760 ⇒ 00:47:19.199 Robert Tseng: Like, what we’re gonna do this week.
471 00:47:19.840 ⇒ 00:47:22.979 Uttam Kumaran: I think it’s up to… I think you think just… I mean, this is where, like.
472 00:47:23.480 ⇒ 00:47:24.860 Uttam Kumaran: This is a flyway.
473 00:47:24.970 ⇒ 00:47:27.559 Uttam Kumaran: I think you just sussed it out this week.
474 00:47:27.560 ⇒ 00:47:28.000 Robert Tseng: Okay.
475 00:47:28.000 ⇒ 00:47:29.959 Uttam Kumaran: Fine, like, spending time there.
476 00:47:30.300 ⇒ 00:47:33.359 Uttam Kumaran: Yeah, and then…
477 00:47:33.780 ⇒ 00:47:40.189 Uttam Kumaran: If they’re able to say, like, hey, yeah, we want to move forward on these, I would just then mention
478 00:47:40.490 ⇒ 00:47:44.860 Uttam Kumaran: To them, they’re like, hey, our contract actually expired, can we get another one?
479 00:47:45.680 ⇒ 00:47:47.509 Uttam Kumaran: Going for that, so…
480 00:47:47.510 ⇒ 00:47:48.160 Robert Tseng: Alright.
481 00:47:48.310 ⇒ 00:47:48.890 Uttam Kumaran: Yeah.
482 00:47:52.210 ⇒ 00:47:53.779 Uttam Kumaran: Cool.
483 00:47:54.970 ⇒ 00:48:00.199 Uttam Kumaran: Amber, I don’t feel like we need to meet more on Insomnia, so do we want to just pop to the Urban STEMS meeting?
484 00:48:00.630 ⇒ 00:48:01.179 Amber Lin: Cool, yeah.
485 00:48:01.250 ⇒ 00:48:02.210 Uttam Kumaran: Huh? Okay.
486 00:48:03.050 ⇒ 00:48:04.669 Uttam Kumaran: Alright, thank you guys.
487 00:48:04.720 ⇒ 00:48:05.270 Amber Lin: Yep.
488 00:48:05.270 ⇒ 00:48:05.700 Robert Tseng: See ya.
489 00:48:05.700 ⇒ 00:48:06.090 Amber Lin: Right?
490 00:48:06.090 ⇒ 00:48:06.889 Zoran Selinger: Thank you. Thank you.
491 00:48:06.890 ⇒ 00:48:07.610 Demilade Agboola: Bye.