2025-11-24_planning_honey_stinger-readme-eden-insom_8ff73337

Meeting Title: Planning: Honey Stinger-Readme-Eden-Insomnia Date: 2025-11-24 Meeting participants: Awaish Kumar, Uttam Kumaran, Henry Zhao, Rico Rejoso, Robert Tseng, Casie Aviles, Mustafa Raja, Samuel Roberts, Gabriel Lam, Zoran Selinger, Amber Lin, Ashwini Sharma

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WEBVTT

1 00:00:37.170 ⇒ 00:00:38.440 Uttam Kumaran: I wish.

2 00:00:49.680 ⇒ 00:00:50.300 Awaish Kumar: Hello.

3 00:00:53.720 ⇒ 00:00:54.740 Uttam Kumaran: How’s everything?

4 00:00:55.460 ⇒ 00:00:56.840 Awaish Kumar: All good.

5 00:00:57.460 ⇒ 00:00:58.050 Uttam Kumaran: Good.

6 00:01:01.960 ⇒ 00:01:03.000 Uttam Kumaran: Hi, Henry.

7 00:01:04.310 ⇒ 00:01:05.129 Henry Zhao: Hey guys.

8 00:01:05.250 ⇒ 00:01:06.080 Henry Zhao: Vec.

9 00:01:06.080 ⇒ 00:01:06.740 Uttam Kumaran: A.

10 00:01:08.610 ⇒ 00:01:09.850 Uttam Kumaran: How was last week?

11 00:01:10.620 ⇒ 00:01:11.240 Henry Zhao: Good.

12 00:01:12.140 ⇒ 00:01:14.760 Henry Zhao: How are you, Alish? I know you were busy, too.

13 00:01:15.700 ⇒ 00:01:18.370 Henry Zhao: Yeah, lots… Lots going on.

14 00:01:22.240 ⇒ 00:01:22.910 Awaish Kumar: Okay.

15 00:01:27.840 ⇒ 00:01:28.930 Awaish Kumar: A lot.

16 00:01:40.930 ⇒ 00:01:46.180 Awaish Kumar: So, okay, is everyone in U.S. off Thursday and Friday, right?

17 00:01:46.820 ⇒ 00:01:47.490 Uttam Kumaran: Yeah.

18 00:01:47.490 ⇒ 00:01:48.540 Awaish Kumar: For the most part.

19 00:01:49.790 ⇒ 00:01:59.160 Uttam Kumaran: A lot of our clients are off… like, we’ll… I’ll spend the first bit of the meeting, can do a little bit of a delivery review, but I feel like some clients may be off this week.

20 00:01:59.750 ⇒ 00:02:03.840 Uttam Kumaran: So I just want to note down which ones those are, and then… Yeah.

21 00:02:12.660 ⇒ 00:02:13.730 Robert Tseng: Hello!

22 00:02:14.720 ⇒ 00:02:15.740 Uttam Kumaran: Love.

23 00:02:17.980 ⇒ 00:02:29.639 Robert Tseng: Hey, Rico, by the way, just because we were chatting, are we gonna add Sezim to the stand-up? That might be too late, but I wonder, like, if she’s starting this week, or did you already add her to meetings and stuff?

24 00:02:31.190 ⇒ 00:02:35.290 Rico Rejoso: Not yet. She hasn’t responded to my Slack invite yet as well.

25 00:02:35.290 ⇒ 00:02:36.710 Robert Tseng: Okay, okay, no worries.

26 00:02:39.400 ⇒ 00:02:43.570 Uttam Kumaran: Yeah, shoot her an email, Rico, if, to her personal email if she doesn’t respond.

27 00:02:44.510 ⇒ 00:02:44.940 Robert Tseng: Okay.

28 00:02:44.940 ⇒ 00:02:49.650 Uttam Kumaran: And then, Robert, I was wanting… I wanted to take maybe the first 10 minutes and just do, like.

29 00:02:50.350 ⇒ 00:02:55.609 Uttam Kumaran: A little bit of a delivery review, and talk about, like, next month, briefly.

30 00:02:56.000 ⇒ 00:02:56.320 Robert Tseng: Oh, yeah.

31 00:02:56.320 ⇒ 00:02:56.890 Uttam Kumaran: Martha?

32 00:02:57.140 ⇒ 00:02:58.250 Robert Tseng: Yeah, I’ll do that.

33 00:02:58.650 ⇒ 00:03:04.319 Uttam Kumaran: I wanna… I think a couple things. I wanna just go through each client, see who’s, like, who’s on and off this week.

34 00:03:04.480 ⇒ 00:03:10.039 Uttam Kumaran: And then… Talk a little bit about, Next month.

35 00:03:10.940 ⇒ 00:03:14.330 Uttam Kumaran: Okay.

36 00:03:16.390 ⇒ 00:03:17.839 Uttam Kumaran: What are we waiting for?

37 00:03:19.140 ⇒ 00:03:24.040 Uttam Kumaran: deron, Amber.

38 00:03:32.500 ⇒ 00:03:33.200 Uttam Kumaran: Hold on.

39 00:03:44.730 ⇒ 00:03:45.600 Uttam Kumaran: Okay.

40 00:03:47.510 ⇒ 00:03:54.869 Uttam Kumaran: Cool. So yeah, I just wanted to start, this morning with a bit of, like, delivery review.

41 00:03:55.070 ⇒ 00:04:02.019 Uttam Kumaran: And sort of talk through each client, and then we have some new clients.

42 00:04:02.230 ⇒ 00:04:10.419 Uttam Kumaran: starting, so we can… chat through that. Let me just clean this up briefly.

43 00:04:12.110 ⇒ 00:04:18.050 Uttam Kumaran: I guess, like, if we can maybe just start, like, who… which… do we know which clients are, like, on and off this week?

44 00:04:18.870 ⇒ 00:04:20.939 Uttam Kumaran: I’m gonna go see ABC…

45 00:04:21.190 ⇒ 00:04:27.330 Uttam Kumaran: Today, and then I don’t know… I don’t… I don’t know any… much from Hydra yet.

46 00:04:27.720 ⇒ 00:04:30.120 Uttam Kumaran: They’re a startup, I assume they’ll be working.

47 00:04:30.260 ⇒ 00:04:32.640 Uttam Kumaran: I think default is off the whole week.

48 00:04:34.320 ⇒ 00:04:35.200 Robert Tseng: Really?

49 00:04:35.500 ⇒ 00:04:36.320 Robert Tseng: Wow.

50 00:04:37.770 ⇒ 00:04:40.529 Uttam Kumaran: They have very generous time off.

51 00:04:40.530 ⇒ 00:04:46.279 Robert Tseng: I just assumed that everybody was working through Wednesday, so I was just… this just surprised me.

52 00:04:46.880 ⇒ 00:04:52.279 Uttam Kumaran: I mean, some of them, people will silently work, but, like, I think Element 2 has a whole week off.

53 00:04:52.530 ⇒ 00:04:53.089 Uttam Kumaran: And then…

54 00:04:53.090 ⇒ 00:04:53.440 Robert Tseng: Great.

55 00:04:53.440 ⇒ 00:04:55.549 Uttam Kumaran: Next month, they have the last 2 weeks off.

56 00:04:57.190 ⇒ 00:04:58.520 Robert Tseng: Okay.

57 00:04:58.930 ⇒ 00:05:01.940 Uttam Kumaran: So… so I think default has…

58 00:05:02.180 ⇒ 00:05:04.589 Uttam Kumaran: Like, week off. Do we know anybody else?

59 00:05:04.730 ⇒ 00:05:08.800 Uttam Kumaran: I think Urban Stems… I’m getting messages, so people are working.

60 00:05:11.560 ⇒ 00:05:14.879 Robert Tseng: I haven’t heard anything else from clients directly that they were off.

61 00:05:15.720 ⇒ 00:05:16.270 Uttam Kumaran: Okay.

62 00:05:17.820 ⇒ 00:05:23.600 Uttam Kumaran: But I would assume that most U.S. folks will be off Thursday, Friday.

63 00:05:23.600 ⇒ 00:05:24.230 Robert Tseng: every Friday.

64 00:05:25.260 ⇒ 00:05:26.040 Uttam Kumaran: Yeah.

65 00:05:26.730 ⇒ 00:05:27.430 Uttam Kumaran: Cool.

66 00:05:28.180 ⇒ 00:05:31.660 Uttam Kumaran: Okay, let’s just go through,

67 00:05:33.080 ⇒ 00:05:41.390 Uttam Kumaran: this list, and then to this, I want to add, elements… And…

68 00:05:41.850 ⇒ 00:05:44.480 Uttam Kumaran: Yeah, I feel like this is the current…

69 00:05:45.340 ⇒ 00:05:53.740 Uttam Kumaran: Crew minus, Ellie. I guess my first question, Robert, do we hear anything back on Ellie? Maybe we should message them next week?

70 00:05:54.300 ⇒ 00:05:55.060 Uttam Kumaran: We’re back.

71 00:05:55.060 ⇒ 00:05:59.309 Robert Tseng: So, I mean… They’re in threads, but I guess…

72 00:05:59.310 ⇒ 00:06:00.010 Uttam Kumaran: Okay.

73 00:06:00.010 ⇒ 00:06:02.279 Robert Tseng: Yeah, I mean, we haven’t… we haven’t really pushed this.

74 00:06:02.280 ⇒ 00:06:06.029 Uttam Kumaran: They’re emailing us for changes and stuff, like, over email, so…

75 00:06:06.230 ⇒ 00:06:06.910 Robert Tseng: Yeah.

76 00:06:08.610 ⇒ 00:06:10.830 Uttam Kumaran: Okay.

77 00:06:12.260 ⇒ 00:06:19.360 Uttam Kumaran: The only client that’s, there’s… there’s sort of two clients that are starting…

78 00:06:20.250 ⇒ 00:06:27.860 Uttam Kumaran: one that’s… that may sign today. Also.

79 00:06:28.020 ⇒ 00:06:33.579 Uttam Kumaran: Rico, can you ping a Shweeny? Or, yeah, make sure he can… he can join these.

80 00:06:33.720 ⇒ 00:06:37.320 Uttam Kumaran: So Element, and then Lilo Social.

81 00:06:37.820 ⇒ 00:06:47.260 Uttam Kumaran: So, I feel good overall. I think, for these clients,

82 00:06:47.810 ⇒ 00:06:53.799 Uttam Kumaran: we may end up changing a couple things. Like, for Element, I think Awash, me, and you will hit it first.

83 00:06:53.970 ⇒ 00:06:58.629 Uttam Kumaran: And then we’ll see who we need to loop in. It’ll be a lot of planning.

84 00:06:58.850 ⇒ 00:07:08.530 Uttam Kumaran: And then for… So I’m hopeful that Ashwini can start to backfill you on Eden.

85 00:07:08.660 ⇒ 00:07:16.210 Uttam Kumaran: And then for Lilo Social, they’re going to sign today, most likely. So…

86 00:07:16.740 ⇒ 00:07:22.589 Uttam Kumaran: I think Sam, me and you can decide on, like, what the lift is gonna be, like, who we need.

87 00:07:22.700 ⇒ 00:07:30.630 Uttam Kumaran: I’m potentially thinking about either me, you, and Surf, or me, you, and… I don’t know if you remember meeting Pranav.

88 00:07:30.800 ⇒ 00:07:36.800 Uttam Kumaran: So, I think me and you can… we can decide,

89 00:07:39.260 ⇒ 00:07:41.980 Uttam Kumaran: So that’s… that’s kind of, like, the two…

90 00:07:42.410 ⇒ 00:07:50.809 Uttam Kumaran: new clients there. Element starts next week, technically, so nothing really there. I think the…

91 00:07:51.060 ⇒ 00:07:56.859 Uttam Kumaran: The other piece I just want to talk about is, like, for Honey Stinger, we have,

92 00:07:57.400 ⇒ 00:08:08.489 Uttam Kumaran: sort of several updates that came back from Friday. I think, Amber, you can own those. For README as well, there are, things that, Mustafa, I know you’re working on that we can probably get back to them.

93 00:08:09.920 ⇒ 00:08:29.410 Uttam Kumaran: I think the one point I made last week for Insomnia, and this is for kind of all clients, as we start to mature on the analysis side, I would like to start looping in some folks that are getting… that are starting to learn the analysis piece. So I know, Amber, you’re handing a couple things off for Insomnia to Casey, right?

94 00:08:29.530 ⇒ 00:08:31.530 Uttam Kumaran: To take on.

95 00:08:32.679 ⇒ 00:08:46.589 Amber Lin: So far, I’ve handed off the one for Matt, because I don’t know what other follow-up analysis we’re going to do. I assume we might have something new this week, because last week we wanted, we want to take it lighter.

96 00:08:47.009 ⇒ 00:08:49.859 Amber Lin: So I don’t know what we’re planning to do this week.

97 00:08:50.890 ⇒ 00:08:55.899 Uttam Kumaran: Okay, so I’ll… we can go through that in this next phase, but yeah, I think that’s just the theme of the week.

98 00:08:56.160 ⇒ 00:09:02.739 Uttam Kumaran: And then for, Eden, are you meeting with ELT this week, Robert, or next week?

99 00:09:03.710 ⇒ 00:09:07.990 Robert Tseng: Yeah, no, I think we’ll… we’ll… I’ll check in with them again on Wednesday.

100 00:09:09.450 ⇒ 00:09:14.130 Uttam Kumaran: Okay, so we have, we have two…

101 00:09:14.470 ⇒ 00:09:20.910 Uttam Kumaran: Gantt charts for marketing tech and for farm ops for you to present to them.

102 00:09:21.190 ⇒ 00:09:24.450 Uttam Kumaran: Would it be helpful to, like, go through that?

103 00:09:24.770 ⇒ 00:09:31.170 Uttam Kumaran: We can either wait until… we can see if we have time at the end of this meeting to go through that. If not, we can book another time.

104 00:09:31.360 ⇒ 00:09:35.520 Uttam Kumaran: But we have a little bit of, like, at least a 2-month roadmap on each.

105 00:09:35.680 ⇒ 00:09:41.250 Uttam Kumaran: And then, I think that’ll be helpful framing on, like, the sequences.

106 00:09:41.750 ⇒ 00:09:59.059 Robert Tseng: Okay, great. Yeah, I mean, as long as those are there, and then we just have, like, kind of the… our kind of our basic bi-weekly deck up, I think that should be fine. I… I know that their main attention is on, like, the Remo stuff, so, like, I think we’ll… we have plenty to talk to them about. I’m still waiting on Surf to kind of,

107 00:09:59.170 ⇒ 00:10:09.209 Robert Tseng: we… well, we spoke with Josh over the weekend, we did a call, I think on Sunday or something, so… He’s… he needs to send these… his… he needs to send me some stuff from there.

108 00:10:10.110 ⇒ 00:10:11.809 Uttam Kumaran: Okay. Yeah.

109 00:10:13.210 ⇒ 00:10:14.040 Uttam Kumaran: Okay.

110 00:10:14.780 ⇒ 00:10:19.689 Uttam Kumaran: Other than that, yeah, in terms of potential clients,

111 00:10:20.170 ⇒ 00:10:25.609 Uttam Kumaran: From my side, like, it’s really just, like, magic spoons.

112 00:10:25.820 ⇒ 00:10:29.670 Uttam Kumaran: And then, Lilo, is there anything else, Robert, that’s, like.

113 00:10:30.350 ⇒ 00:10:33.210 Uttam Kumaran: Other than that, that’s, like, getting pretty far ahead.

114 00:10:34.290 ⇒ 00:10:40.399 Robert Tseng: I mean, it’s not anything close to signing yet, but, I actually spoke with someone earlier today.

115 00:10:42.110 ⇒ 00:10:53.820 Robert Tseng: Yeah, he basically needs, like, a BI setup, I guess, so… I’m putting together that proposal, sending it off to him, and then…

116 00:10:54.530 ⇒ 00:11:05.119 Robert Tseng: Yeah, I mean, I had… I have a couple calls that I’ve either kind of, like, pushed off this week or moved to next week. I don’t think anything’s gonna sign this week, is the way I see it, so I kind of was, like, just…

117 00:11:06.150 ⇒ 00:11:08.279 Robert Tseng: I’m working around… I’m working around that.

118 00:11:09.170 ⇒ 00:11:13.519 Uttam Kumaran: Okay. Yeah, I think guidance is, like, if… as much as we can push to Jan 1,

119 00:11:14.520 ⇒ 00:11:15.920 Uttam Kumaran: Let’s do that.

120 00:11:16.140 ⇒ 00:11:18.730 Robert Tseng: Yeah, we can, yeah, like, I think we can do that.

121 00:11:19.020 ⇒ 00:11:21.549 Uttam Kumaran: Unless it’s, like, yeah, unless it’s really urgent.

122 00:11:21.550 ⇒ 00:11:22.379 Robert Tseng: And this is a big one.

123 00:11:22.380 ⇒ 00:11:22.720 Uttam Kumaran: Like.

124 00:11:22.720 ⇒ 00:11:23.350 Robert Tseng: Yeah.

125 00:11:24.250 ⇒ 00:11:27.310 Uttam Kumaran: Yeah, we’re… we just have a lot now.

126 00:11:27.310 ⇒ 00:11:27.930 Robert Tseng: Yep.

127 00:11:27.930 ⇒ 00:11:45.590 Uttam Kumaran: So I just wanna… my main… my main goal for this week is to sort of, like, catch up on December planning, and then to just nail all the stuff on our plate. We are, of course, bringing on SEZM, so more additional analyst support, and we are still.

128 00:11:45.590 ⇒ 00:11:46.030 Robert Tseng: Yeah.

129 00:11:46.030 ⇒ 00:11:53.030 Uttam Kumaran: you know, we’re in the market for, like, a PM coordinator, and so I want to, like, get those…

130 00:11:53.140 ⇒ 00:11:57.830 Uttam Kumaran: close, and so if we do sell next month, I’m gonna start to try to push it out.

131 00:11:58.250 ⇒ 00:12:01.430 Uttam Kumaran: To… to January, so…

132 00:12:01.700 ⇒ 00:12:02.170 Robert Tseng: Okay.

133 00:12:03.140 ⇒ 00:12:11.430 Uttam Kumaran: And then, I guess while we’re all here, does anyone have, like, any significant, like, time off to note down?

134 00:12:11.800 ⇒ 00:12:14.540 Uttam Kumaran: I know, Sam, I have yours for…

135 00:12:15.260 ⇒ 00:12:19.060 Uttam Kumaran: Like, next week. But is anyone else gonna be, like, off?

136 00:12:19.460 ⇒ 00:12:21.670 Uttam Kumaran: Next month, and we can note that down.

137 00:12:25.280 ⇒ 00:12:29.419 Ashwini Sharma: I might be off during the last week of December.

138 00:12:30.280 ⇒ 00:12:30.820 Uttam Kumaran: Okay.

139 00:12:35.640 ⇒ 00:12:36.210 Uttam Kumaran: Cool.

140 00:12:36.610 ⇒ 00:12:37.370 Zoran Selinger: But that’s all…

141 00:12:37.370 ⇒ 00:12:37.750 Amber Lin: for me.

142 00:12:37.750 ⇒ 00:12:46.079 Zoran Selinger: Schedule, right? Am I right in… I read that message earlier, did I understand it correctly? We are going to be off.

143 00:12:46.080 ⇒ 00:12:46.670 Uttam Kumaran: Yeah.

144 00:12:46.670 ⇒ 00:12:47.909 Zoran Selinger: That week anyway, right?

145 00:12:49.990 ⇒ 00:12:50.970 Uttam Kumaran: Yeah, yeah, yeah.

146 00:12:51.410 ⇒ 00:12:52.530 Zoran Selinger: Okay. Awesome.

147 00:12:53.710 ⇒ 00:13:07.239 Uttam Kumaran: I guess my biggest thing is, like, if you’re… if you’re gonna be, like, off the grid, let me know, because still, if something breaks, then, like, someone will come on. But, yeah, for the… for… for everybody, like, Christmas until the end of the year.

148 00:13:07.440 ⇒ 00:13:08.980 Uttam Kumaran: We’ll be, like, sort of off.

149 00:13:14.090 ⇒ 00:13:20.469 Amber Lin: What is the date, Stark? You said the last week of September, does that mean starting on.

150 00:13:20.470 ⇒ 00:13:21.280 Uttam Kumaran: December.

151 00:13:21.690 ⇒ 00:13:24.810 Uttam Kumaran: 25th. Yeah, so starting on the 25th.

152 00:13:25.700 ⇒ 00:13:33.200 Amber Lin: Oh, I see. I might have to take the week before that off, but I’ll confirm and I’ll send in a Monday, so…

153 00:13:33.320 ⇒ 00:13:35.840 Amber Lin: I’ll have break-in confirmation.

154 00:13:36.480 ⇒ 00:13:37.980 Uttam Kumaran: Okay, great. Yeah.

155 00:13:42.720 ⇒ 00:13:44.870 Uttam Kumaran: Cool. And then,

156 00:13:45.820 ⇒ 00:13:53.019 Uttam Kumaran: I guess maybe while I have everybody for just a few more minutes, I think two things, like, is there any, like, case studies that we should…

157 00:13:53.440 ⇒ 00:13:56.629 Uttam Kumaran: no down that I can get onto the marketing teams.

158 00:13:58.330 ⇒ 00:14:07.510 Uttam Kumaran: In marketing teams world, like, I think, like, the Hedra setup could be good. Is there anything else?

159 00:14:07.790 ⇒ 00:14:16.820 Amber Lin: We worked with Hannah earlier on the pricing for default. Don’t know if that’s mature yet to send out, but we have some content there.

160 00:14:17.860 ⇒ 00:14:19.939 Uttam Kumaran: Yeah, for that one, too, I would,

161 00:14:20.690 ⇒ 00:14:23.570 Uttam Kumaran: ask Caitlin if we can use a testimonial.

162 00:14:26.150 ⇒ 00:14:32.090 Uttam Kumaran: She basically said she would give us one, so… Okay.

163 00:14:32.300 ⇒ 00:14:36.089 Zoran Selinger: I think Edge, could be a strong one. It’s shaping up.

164 00:14:36.700 ⇒ 00:14:39.030 Zoran Selinger: To be a strong case study.

165 00:14:39.040 ⇒ 00:14:43.490 Uttam Kumaran: But I think, maybe we can wait a little bit and have…

166 00:14:43.510 ⇒ 00:14:59.599 Zoran Selinger: a little bit more on that side. When I was doing a review of NordBeam, it looked really good. I’m really happy with the data we see there, and, like, the confidence it gives us in the real source of truth.

167 00:14:59.650 ⇒ 00:15:05.639 Zoran Selinger: So, I think it’s gonna be a good case study. Maybe not right away, but it’s shaping up to be that way.

168 00:15:06.360 ⇒ 00:15:07.110 Uttam Kumaran: Okay.

169 00:15:07.190 ⇒ 00:15:07.960 Zoran Selinger: Yeah.

170 00:15:11.100 ⇒ 00:15:20.689 Henry Zhao: Does anyone have a good case study for Tableau? I signed up for Tableau with Hannah, but I don’t know how impressive it would be. If anyone has a good example, like, they can take it from me.

171 00:15:25.090 ⇒ 00:15:26.810 Uttam Kumaran: I don’t know, if that’s just the Eden crew.

172 00:15:27.450 ⇒ 00:15:29.429 Henry Zhao: Yeah, if not, I’ll just… I’ll do it, and then…

173 00:15:29.950 ⇒ 00:15:31.139 Henry Zhao: We’ll see if it’s good enough.

174 00:15:32.120 ⇒ 00:15:38.789 Uttam Kumaran: Yeah, I feel like Tableau, mainly what we’re trying to just show is that we have, like, we have an example of, like, an end-to-end Tableau setup.

175 00:15:39.750 ⇒ 00:15:40.100 Henry Zhao: Okay.

176 00:15:40.100 ⇒ 00:15:48.109 Uttam Kumaran: So, Wish could probably fill out, like, some of the original Tableau piece, and then… yeah, ideally we just show, like, kind of some of the capabilities that we’re doing there.

177 00:15:48.110 ⇒ 00:15:48.620 Henry Zhao: Peter?

178 00:15:48.620 ⇒ 00:15:56.280 Uttam Kumaran: Really, the goal was… Yeah, like, you could just talk about how we established a Tableau environment for

179 00:15:56.590 ⇒ 00:15:57.660 Uttam Kumaran: For Eden?

180 00:15:57.780 ⇒ 00:16:10.230 Uttam Kumaran: And then the biggest thing to highlight is just, like, when we… clients… when people are talking to us, like, hey, do you do Tableau work? We want to just basically at least have, like, one case study for it. So it doesn’t need to be, like, anything super, super grand.

181 00:16:10.380 ⇒ 00:16:11.700 Henry Zhao: Okay, great.

182 00:16:12.220 ⇒ 00:16:13.110 Henry Zhao: Perfect.

183 00:16:20.660 ⇒ 00:16:22.030 Uttam Kumaran: Anything else?

184 00:16:24.830 ⇒ 00:16:26.970 Uttam Kumaran: We have one last week on…

185 00:16:28.850 ⇒ 00:16:29.450 Awaish Kumar: Thank you.

186 00:16:30.280 ⇒ 00:16:30.799 Awaish Kumar: You know what?

187 00:16:30.800 ⇒ 00:16:33.020 Uttam Kumaran: Remember, do you end up doing any of the Insomnia ones?

188 00:16:36.860 ⇒ 00:16:43.619 Amber Lin: No, actually, not yet. I’ll stick with Hannah, that’s a good one.

189 00:16:44.870 ⇒ 00:16:47.479 Uttam Kumaran: I’ll just make sure that these are in, her…

190 00:16:48.800 ⇒ 00:16:52.219 Uttam Kumaran: they’re in the roadmap for her. That’s the main thing, so yeah.

191 00:16:52.220 ⇒ 00:16:53.089 Amber Lin: Oh, okay.

192 00:16:53.220 ⇒ 00:16:56.309 Amber Lin: Yeah, I have a meeting with Hannah, but we’ll talk about that.

193 00:16:57.300 ⇒ 00:16:57.680 Uttam Kumaran: Okay.

194 00:16:58.920 ⇒ 00:17:04.080 Awaish Kumar: Yeah, for Eden, like, the reverse ETL things, like, these separate…

195 00:17:04.810 ⇒ 00:17:14.519 Awaish Kumar: separate for a specific channel, like, we are building Retiver CTL for Meta, KPI, then again for Catalyst, so all of them are good case studies.

196 00:17:15.480 ⇒ 00:17:16.040 Uttam Kumaran: Okay.

197 00:17:17.010 ⇒ 00:17:17.790 Uttam Kumaran: Great.

198 00:17:23.359 ⇒ 00:17:24.140 Uttam Kumaran: Okay.

199 00:17:25.170 ⇒ 00:17:31.769 Uttam Kumaran: Cool, and then, Ashwini, I may ask you to do one on Metaplane, as soon as you’re…

200 00:17:32.140 ⇒ 00:17:32.870 Ashwini Sharma: Sure.

201 00:17:32.870 ⇒ 00:17:33.779 Uttam Kumaran: feel comfortable.

202 00:17:34.240 ⇒ 00:17:34.940 Ashwini Sharma: Shaw Show.

203 00:17:37.900 ⇒ 00:17:43.119 Uttam Kumaran: I don’t know if we already have one on data observability, but it would be good to talk about just the Metaplane solution.

204 00:17:43.620 ⇒ 00:17:45.760 Uttam Kumaran: Okay, great.

205 00:17:45.890 ⇒ 00:17:52.080 Uttam Kumaran: And then, maybe we briefly do, like, a second on, like, any opportunities, so… If I…

206 00:17:52.740 ⇒ 00:18:00.200 Uttam Kumaran: the one thing we’re working on this week is, like, ABC, I’m going to meet with them today in person to talk through

207 00:18:00.400 ⇒ 00:18:07.759 Uttam Kumaran: Like, renewal, expansion… On urban stems.

208 00:18:08.040 ⇒ 00:18:15.130 Uttam Kumaran: Most likely, we’re gonna move on to, an hourly arrangement.

209 00:18:17.420 ⇒ 00:18:21.210 Uttam Kumaran: And then pick back up sometime in the next year, early next year.

210 00:18:21.980 ⇒ 00:18:26.870 Uttam Kumaran: Any other, like, opportunities that came up within any clients?

211 00:18:27.130 ⇒ 00:18:30.760 Uttam Kumaran: That, like, we’d like to highlight. I mean.

212 00:18:31.010 ⇒ 00:18:35.039 Uttam Kumaran: I feel like even there’s always things, so… but we talk a lot about that.

213 00:18:35.320 ⇒ 00:18:39.039 Uttam Kumaran: Are there any other clients where we have, like, open opportunities?

214 00:18:40.040 ⇒ 00:18:45.360 Robert Tseng: Yeah, so, with, insomnia, We’re going to…

215 00:18:46.040 ⇒ 00:18:49.490 Robert Tseng: Can you guys hear me? Because I’m, like, frozen on my screen. Yeah. Okay.

216 00:18:49.490 ⇒ 00:18:49.830 Uttam Kumaran: Thank you.

217 00:18:49.830 ⇒ 00:18:55.439 Robert Tseng: yeah, I mean, now that our main stakeholder got

218 00:18:55.620 ⇒ 00:19:02.120 Robert Tseng: got fired, I guess. Not everyone knows that yet. Erita’s no longer there,

219 00:19:02.380 ⇒ 00:19:12.439 Robert Tseng: Yeah, I’m, like, trying to mitigate it by… there’s a VP of Digital Product, she’s new, she’s, like, one month in, so I’m a little bit… it’s a little risky, where,

220 00:19:12.930 ⇒ 00:19:25.439 Robert Tseng: Yeah, if we don’t get her on our side, like, I don’t think they’re gonna… she may just bring in her own people, after December. So, I’m trying to bring Zoran to that conversation with her tomorrow or Wednesday, so…

221 00:19:25.640 ⇒ 00:19:38.329 Robert Tseng: I didn’t tell Zoran yet, but just FYI, I’m trying to get us booked on a call with her. She’s gonna bring her tech lead, and we’re just gonna basically pitch her the… the… the GTM attribution and tracking stuff first.

222 00:19:38.710 ⇒ 00:19:40.270 Robert Tseng: Yeah.

223 00:19:41.820 ⇒ 00:19:44.539 Uttam Kumaran: What’s happening with Birdie and those folks?

224 00:19:44.790 ⇒ 00:19:49.590 Robert Tseng: I think Birdie’s gonna get… is gonna be done by end of the year. She’s also through end of the year, so…

225 00:19:49.910 ⇒ 00:20:00.689 Robert Tseng: I mean, they obviously have to backfill, because they don’t really have marketing leadership right now, but for now, it’s just going to be their… I think it’s this other VP of product that’s kind of running the show.

226 00:20:01.800 ⇒ 00:20:04.630 Uttam Kumaran: What about the guy that’s on top of him? I forgot his name, but, like…

227 00:20:04.980 ⇒ 00:20:07.000 Uttam Kumaran: Some guy’s head of digital.

228 00:20:08.040 ⇒ 00:20:15.419 Robert Tseng: I don’t… I think this is the head of digital and product.

229 00:20:15.420 ⇒ 00:20:16.020 Uttam Kumaran: Okay.

230 00:20:16.830 ⇒ 00:20:24.950 Robert Tseng: Maybe you talked to their finance person before, his name is Rob, but he doesn’t really… not like Rob Cantor, but he doesn’t do anything.

231 00:20:25.120 ⇒ 00:20:33.529 Robert Tseng: Seth is the CEO, so it’s either… it’s him and this VP lady that are running everything right now, I think.

232 00:20:36.270 ⇒ 00:20:36.830 Uttam Kumaran: Okay.

233 00:20:37.430 ⇒ 00:20:50.110 Robert Tseng: I’m expecting, like, I think Zoran will wow her on the call tomorrow, we’ll get a good intro, come back, I’ll try to go to Philly next week and just try to, like, kind of keep that relationship warm, so…

234 00:20:51.070 ⇒ 00:20:51.730 Uttam Kumaran: Okay.

235 00:20:53.770 ⇒ 00:20:58.890 Uttam Kumaran: Well, that sucks, but… We’ve done a lot of great work for them, so I feel like…

236 00:20:59.170 ⇒ 00:20:59.760 Uttam Kumaran: Sort of a…

237 00:20:59.760 ⇒ 00:21:04.440 Robert Tseng: We just need the right… we just need the right stakeholder. It’s not… yeah, but, man.

238 00:21:04.440 ⇒ 00:21:07.110 Uttam Kumaran: I mean, yeah, I mean, I like… Yeah.

239 00:21:07.370 ⇒ 00:21:08.860 Uttam Kumaran: Sorry, go ahead.

240 00:21:08.860 ⇒ 00:21:16.479 Robert Tseng: with MIDI, new leadership came in and then got cut after, like, another, like, month or two months, so… we’ll see.

241 00:21:17.630 ⇒ 00:21:25.340 Uttam Kumaran: I mean, I hate to say, like… I mean, we should just demonstrate all the work we did and just talk about how it didn’t get… nobody took advantage of it.

242 00:21:25.390 ⇒ 00:21:27.689 Robert Tseng: Yeah, yeah, yeah, I think I…

243 00:21:27.690 ⇒ 00:21:38.709 Uttam Kumaran: fight for us, you know, because we’ve done great work, and they haven’t helped us at all do anything meaningful. So, also, Preston, yeah, that technically’s a data guy, show all of our architecture stuff.

244 00:21:38.910 ⇒ 00:21:39.710 Uttam Kumaran: Yeah.

245 00:21:40.340 ⇒ 00:21:40.790 Robert Tseng: Yeah.

246 00:21:40.790 ⇒ 00:21:43.540 Uttam Kumaran: Okay, cool.

247 00:21:43.710 ⇒ 00:21:48.500 Uttam Kumaran: Alright, maybe, Robert, I’ll pass it… Back to you, then.

248 00:21:49.780 ⇒ 00:21:51.429 Robert Tseng: Okay, sure.

249 00:22:00.580 ⇒ 00:22:03.080 Robert Tseng: Okay…

250 00:22:33.050 ⇒ 00:22:43.789 Robert Tseng: Alright, so let’s just go through this. Eden, projects-wise, I guess, are these the right… are these the… is this the right order? Can I just kinda get a check on this?

251 00:22:44.320 ⇒ 00:22:47.580 Robert Tseng: I mean, I don’t think it should be 4 and high priority, so…

252 00:22:48.150 ⇒ 00:22:52.810 Robert Tseng: Zoran, I know everything you do feels like it’s high priority, but are these actual.

253 00:22:52.810 ⇒ 00:23:11.970 Zoran Selinger: Definitely. Yeah, so I think Kettle is high priority. We need to get that done. I just didn’t want to, like, a day before that came on, I, I said to Ovish that meta, is a priority, so I didn’t want to change that.

254 00:23:12.410 ⇒ 00:23:14.800 Zoran Selinger: But he finished on Meta.

255 00:23:14.930 ⇒ 00:23:17.990 Zoran Selinger: So we can focus on a catalyst right now.

256 00:23:18.540 ⇒ 00:23:21.380 Zoran Selinger: And get that reversed, basically.

257 00:23:22.570 ⇒ 00:23:23.540 Robert Tseng: Yep. Yeah.

258 00:23:24.410 ⇒ 00:23:31.540 Zoran Selinger: So that’s… that’s basically… that’s basically it. Out of the priorities, everything else is… is on a me.

259 00:23:32.070 ⇒ 00:23:39.089 Zoran Selinger: I’m gonna work on… on the implementation audit for NordBeam and the CUTM review.

260 00:23:39.850 ⇒ 00:23:43.280 Zoran Selinger: This week. So, UTM review…

261 00:23:45.470 ⇒ 00:23:49.769 Robert Tseng: the Northam is actually coming, coming up.

262 00:23:50.290 ⇒ 00:23:53.830 Zoran Selinger: Sorry, you just broke a little bit, I didn’t hear.

263 00:23:54.240 ⇒ 00:23:55.490 Zoran Selinger: Can you repeat that one?

264 00:23:55.490 ⇒ 00:24:00.509 Robert Tseng: was… had no priority before, and I moved it to high priority, is that correct?

265 00:24:01.260 ⇒ 00:24:09.820 Zoran Selinger: Yeah, yeah, I really wanna get, really wanna get that done, and especially if we’re gonna activate a few more channels soon.

266 00:24:10.130 ⇒ 00:24:15.429 Zoran Selinger: That’s gonna really, highlight that platform.

267 00:24:15.660 ⇒ 00:24:21.999 Zoran Selinger: Much, much more than so far, because essentially everything… everything was one channel.

268 00:24:22.640 ⇒ 00:24:31.329 Zoran Selinger: So it’s gonna be clearer of what we have, with Norbeam, and it’s gonna be easier to make a decision if it’s good enough or not.

269 00:24:31.450 ⇒ 00:24:34.460 Zoran Selinger: Once we have, you know, a couple more channels.

270 00:24:36.170 ⇒ 00:24:42.230 Robert Tseng: Yeah, if I recall, something like transactions… .

271 00:24:42.230 ⇒ 00:24:49.750 Zoran Selinger: Yeah, 99%, 98.9% accuracy with transactions, and we have

272 00:24:49.870 ⇒ 00:25:07.970 Zoran Selinger: 85% accuracy with first touch, and, like, 65% with last touch. That’s where we are, so it’s worth investing effort into implementation audit and defining a couple of more non-integrated channels. That’s the conclusion, basically.

273 00:25:10.400 ⇒ 00:25:16.550 Robert Tseng: Okay, sorry, I’m just trying to close everything, because I’m, like… I don’t know why this is slowing down so much.

274 00:25:18.440 ⇒ 00:25:23.470 Robert Tseng: Okay, I’m just gonna skip the update, I just… I don’t think I can keep up with it,

275 00:25:25.920 ⇒ 00:25:26.790 Robert Tseng: Alright.

276 00:25:26.980 ⇒ 00:25:28.020 Robert Tseng: So…

277 00:25:28.020 ⇒ 00:25:30.580 Zoran Selinger: I can… I can do that updating, it’s not a problem.

278 00:25:30.750 ⇒ 00:25:31.250 Zoran Selinger: Oh.

279 00:25:31.370 ⇒ 00:25:37.589 Robert Tseng: Yeah, if you could just write that in, that’d be helpful. Sure. Targeting… what’s it gonna say this week?

280 00:25:38.380 ⇒ 00:25:43.939 Robert Tseng: Yeah, so this first touch purchase event to Meta’s done, you said?

281 00:25:43.940 ⇒ 00:25:57.120 Zoran Selinger: So I will… I will need help there. So, Avesh made a table that’s gonna be updated every hour, but I wanted to do this… I wanted to actually send this to Meta.

282 00:25:57.260 ⇒ 00:26:01.129 Zoran Selinger: But I’ll need a little bit of help from engineers.

283 00:26:01.470 ⇒ 00:26:08.920 Zoran Selinger: kind of recommendation on how to do it, what to use, what we typically use. I have no view of that.

284 00:26:09.250 ⇒ 00:26:10.300 Awaish Kumar: Oh, boy.

285 00:26:10.810 ⇒ 00:26:17.310 Awaish Kumar: As I told, like, we have used Segment before, I and Robert, Work a little bit… Yeah.

286 00:26:18.860 ⇒ 00:26:20.860 Zoran Selinger: So, segment would be the…

287 00:26:21.390 ⇒ 00:26:22.459 Awaish Kumar: Yeah, because we do, like…

288 00:26:22.460 ⇒ 00:26:23.689 Zoran Selinger: to delete them, okay.

289 00:26:23.970 ⇒ 00:26:27.820 Awaish Kumar: Right now, we don’t have any custom pipeline for that.

290 00:26:29.370 ⇒ 00:26:35.900 Awaish Kumar: Volatomic has any reverse ETL for Meta KPI, KPI, but Segment does have, and we have used it.

291 00:26:36.680 ⇒ 00:26:43.980 Zoran Selinger: Sure, okay, cool. Just, can you tell me one more thing? Do I have an ability?

292 00:26:44.210 ⇒ 00:26:51.159 Zoran Selinger: To filter, let’s say, only the last 6 hours of events within segment.

293 00:26:52.330 ⇒ 00:26:55.920 Zoran Selinger: Can I further… further filter the table itself?

294 00:26:58.530 ⇒ 00:27:05.149 Awaish Kumar: Yeah, like, you can obviously have to build a BigQuery model, and then select the

295 00:27:05.480 ⇒ 00:27:11.019 Awaish Kumar: data from the table, with a filter on, like, a column.

296 00:27:11.160 ⇒ 00:27:12.299 Awaish Kumar: Time scam call.

297 00:27:12.300 ⇒ 00:27:27.549 Zoran Selinger: Okay, cool. Okay, then that… the answer is yes, that’s fine. That’s the… if the table is ready, and I can do… I can further filter, the rows to basically… I just need to figure out how often,

298 00:27:27.970 ⇒ 00:27:32.850 Zoran Selinger: I need to do that, and then we’ll be… we’ll be good to go. So I want to do that this week.

299 00:27:34.170 ⇒ 00:27:34.830 Robert Tseng: Okay.

300 00:27:42.050 ⇒ 00:27:44.370 Robert Tseng: The UI here is kind of annoying.

301 00:27:52.920 ⇒ 00:27:57.940 Robert Tseng: Okay, you already communicated the North Beam plan?

302 00:27:59.660 ⇒ 00:28:03.600 Zoran Selinger: Yes, we just exchanged a couple of emails.

303 00:28:03.600 ⇒ 00:28:04.750 Uttam Kumaran: 10 minutes ago.

304 00:28:05.300 ⇒ 00:28:08.509 Robert Tseng: Okay, so I’m assuming this is gonna be… this is done.

305 00:28:11.470 ⇒ 00:28:13.249 Robert Tseng: Alright, and then…

306 00:28:13.570 ⇒ 00:28:20.659 Robert Tseng: Okay, we’ll just move up. Let’s go Henry. There’s a lot of stuff in here. So, what can we close out? What are we kicking in and out of cycle?

307 00:28:20.880 ⇒ 00:28:23.459 Henry Zhao: Yeah, I got a… I got a,

308 00:28:23.920 ⇒ 00:28:26.280 Henry Zhao: Like, go through this and groom it.

309 00:28:29.170 ⇒ 00:28:33.809 Henry Zhao: Attribution 2 weeks, I’m working on that today. Thank you, Awash, for approving the PR.

310 00:28:35.200 ⇒ 00:28:42.490 Henry Zhao: Got a follow-up with Basque and Pharmetica. We… I had the calls last week, but now I’m following up on… on getting that access.

311 00:28:45.320 ⇒ 00:28:54.520 Henry Zhao: So I need to talk to Rebecca today, because she needs to actually pay for the pharmacy API to be able to get the data for us, so I just want to check if we… we can do that.

312 00:28:59.220 ⇒ 00:29:00.379 Henry Zhao: There’s a lot of stuff.

313 00:29:02.110 ⇒ 00:29:12.090 Henry Zhao: And then I’m working on a dash for, attribution. So now the attribution is done, I’m gonna make a Tableau dash. Zoran, we can talk later about cleaning up that spreadsheet.

314 00:29:12.090 ⇒ 00:29:25.019 Henry Zhao: But basically, last week, I met with the Eden team to, like, get all the UTMs, like, organized and not, like, everyone doing their own thing. So this week, I should be able to go in and check and make sure that that is all looking good now, as of last week.

315 00:29:25.020 ⇒ 00:29:28.960 Henry Zhao: And make a dash so that people can pull, like, actual conversions.

316 00:29:28.990 ⇒ 00:29:32.570 Henry Zhao: And who’s coming in first touch, last touch from each UTM.

317 00:29:35.070 ⇒ 00:29:37.720 Robert Tseng: Okay, what about all the stuff that’s still blocked?

318 00:29:38.710 ⇒ 00:29:41.679 Henry Zhao: That’s the… what I just said about Basque and, Pharmetica.

319 00:29:42.510 ⇒ 00:29:43.170 Robert Tseng: Okay.

320 00:29:43.800 ⇒ 00:29:44.360 Henry Zhao: Yeah.

321 00:29:44.540 ⇒ 00:29:50.870 Henry Zhao: Same thing as, Which one is it? The…

322 00:29:52.770 ⇒ 00:30:02.949 Henry Zhao: Yeah, so get API key from Pharmetica, like, I did my part, we just need Rebecca to pay for it, I think, to talk to Michelle about that, unless we’re the decision makers.

323 00:30:04.030 ⇒ 00:30:05.480 Henry Zhao: And then…

324 00:30:07.950 ⇒ 00:30:12.859 Henry Zhao: And then, we also need to talk about, changing transaction ID in BASC to session ID.

325 00:30:15.210 ⇒ 00:30:17.389 Robert Tseng: Okay, so this is still relevant.

326 00:30:17.810 ⇒ 00:30:18.660 Henry Zhao: Yep,

327 00:30:19.450 ⇒ 00:30:22.420 Henry Zhao: All of these are relevant, but I’m gonna clean it up, after this.

328 00:30:23.070 ⇒ 00:30:26.330 Henry Zhao: I just haven’t had… I haven’t had a chance to yet. I’ve been catching up on emails and stuff.

329 00:30:26.870 ⇒ 00:30:43.110 Robert Tseng: Okay, I’m gonna give you one more day to do it. I would just call out that this was not groomed last week, even though you said you would groom it last week. I know you were in and out last week, but it’s still sitting around, like, 40 points, which is… I don’t believe that. There’s no way you’re doing 40 points.

330 00:30:43.110 ⇒ 00:30:46.119 Henry Zhao: Yeah, no, no, a lot of these are gonna be blocked or pushed the next cycle.

331 00:30:46.330 ⇒ 00:30:50.670 Robert Tseng: Yeah, okay, so please have this, groomed by tomorrow.

332 00:30:50.670 ⇒ 00:30:52.750 Henry Zhao: For blocked stuff, should I just move to the next cycle, then?

333 00:30:53.390 ⇒ 00:30:54.000 Robert Tseng: Yeah.

334 00:30:54.000 ⇒ 00:30:57.540 Uttam Kumaran: Well, I guess you should just follow, like, whatever the Pharmatica roadmap is.

335 00:30:57.820 ⇒ 00:31:05.289 Uttam Kumaran: Henry. So, like, start to schedule things as they go. Like, if it’s blocked, it should just sit in the back, it should just sit in…

336 00:31:05.980 ⇒ 00:31:11.830 Uttam Kumaran: To do. Like, it shouldn’t… we shouldn’t care. Blocked is, like, something that can be resolved this week.

337 00:31:11.830 ⇒ 00:31:12.470 Henry Zhao: Okay.

338 00:31:12.680 ⇒ 00:31:19.690 Uttam Kumaran: If it’s, like, gonna be blocked, then you… I would just move it into next… I would either move into next cycle, or move it into ready.

339 00:31:20.050 ⇒ 00:31:21.260 Uttam Kumaran: And leave it there.

340 00:31:22.210 ⇒ 00:31:26.610 Henry Zhao: Okay, yeah, I remember we talked about that, but yeah, it’s just so… kind of weird.

341 00:31:27.350 ⇒ 00:31:28.190 Awaish Kumar: For formidic.

342 00:31:28.750 ⇒ 00:31:34.439 Awaish Kumar: Are you validating the data with the APIs, or do we need to have a pipeline for that as well?

343 00:31:38.730 ⇒ 00:31:42.840 Henry Zhao: Probably need a pipeline, but they need some… some of this, they need real time, so…

344 00:31:44.300 ⇒ 00:31:48.710 Awaish Kumar: Yeah, like, we can ask Polyatomic for that, but, like, if you… Polyatomic?

345 00:31:48.710 ⇒ 00:31:49.330 Henry Zhao: for it.

346 00:31:50.040 ⇒ 00:31:50.650 Awaish Kumar: Yeah, we…

347 00:31:50.650 ⇒ 00:32:00.850 Uttam Kumaran: Yeah, like, but, like, we already have the Gantt chart, right? So, in that, we’re still waiting, Henry, right, on, like, we need API docs, we need API keys.

348 00:32:00.850 ⇒ 00:32:01.600 Henry Zhao: We have APX.

349 00:32:02.770 ⇒ 00:32:05.489 Henry Zhao: Well, would you have an API? Yeah.

350 00:32:05.490 ⇒ 00:32:08.060 Uttam Kumaran: Yeah, so we can’t do anything until we have that, basically.

351 00:32:08.460 ⇒ 00:32:10.390 Henry Zhao: Yeah, so I need to just follow up with Rebecca today.

352 00:32:10.680 ⇒ 00:32:13.950 Henry Zhao: Because she’s up on Friday, but I don’t know if she actually did anything.

353 00:32:15.800 ⇒ 00:32:16.510 Robert Tseng: Okay.

354 00:32:16.510 ⇒ 00:32:23.690 Uttam Kumaran: Oh, wait, check the Gantt chart out in the Eden channel, for the project plan around Pharmetica, I think it’ll be pretty clear.

355 00:32:24.270 ⇒ 00:32:24.920 Awaish Kumar: Okay.

356 00:32:27.650 ⇒ 00:32:29.349 Robert Tseng: Alright, is Dave Mulatti on this call?

357 00:32:30.440 ⇒ 00:32:31.130 Awaish Kumar: He’s outfit.

358 00:32:31.130 ⇒ 00:32:33.169 Uttam Kumaran: No, he’s not. Yeah, off still.

359 00:32:33.910 ⇒ 00:32:34.720 Robert Tseng: Oh, okay.

360 00:32:35.000 ⇒ 00:32:36.140 Robert Tseng: He’s back tomorrow.

361 00:32:36.570 ⇒ 00:32:43.390 Robert Tseng: Yeah. Alright, then I’ll skip them. Casey, the spike on this Texas sequel.

362 00:32:44.670 ⇒ 00:32:50.929 Casie Aviles: Yeah, for this spike, one, I just have one last thing to have the team review, which would be…

363 00:32:51.180 ⇒ 00:32:54.120 Casie Aviles: The testing on, actually, then data.

364 00:32:54.600 ⇒ 00:32:55.660 Casie Aviles: But for the.

365 00:32:55.660 ⇒ 00:32:57.119 Robert Tseng: What are we using, by the way?

366 00:32:58.230 ⇒ 00:33:00.710 Casie Aviles: You mean which data? Or…

367 00:33:00.710 ⇒ 00:33:11.579 Robert Tseng: Or, like, how are we doing the Texas sequel? Because I was, like, talking to a dude yesterday, and he, I mean, he, like, really was trying to convince me that Compass with Daxter is a good tool. I don’t know.

368 00:33:11.860 ⇒ 00:33:12.959 Robert Tseng: I don’t know how we’ve been evaluated.

369 00:33:12.960 ⇒ 00:33:13.640 Uttam Kumaran: How are we?

370 00:33:13.950 ⇒ 00:33:17.070 Uttam Kumaran: Yeah, we tried it. It’s okay. I mean, who was that guy?

371 00:33:17.930 ⇒ 00:33:20.069 Robert Tseng: He’s an AE at Vanta.

372 00:33:20.270 ⇒ 00:33:21.219 Robert Tseng: That’s, like, I guess.

373 00:33:21.220 ⇒ 00:33:23.999 Uttam Kumaran: It came out two weeks ago. It’s like, no, it doesn’t work well.

374 00:33:24.180 ⇒ 00:33:24.590 Casie Aviles: Yeah.

375 00:33:24.590 ⇒ 00:33:28.279 Robert Tseng: Okay. Yeah, well, I guess that’s his main project, Atlanta now, so…

376 00:33:29.400 ⇒ 00:33:33.600 Uttam Kumaran: Yeah, I mean, the guy… if the guy was so smart, he would tell you that, too. Like, it’s… we try to…

377 00:33:33.600 ⇒ 00:33:37.839 Robert Tseng: tried it, it was okay, but, like, there’s only a Slack integration.

378 00:33:38.700 ⇒ 00:33:39.350 Casie Aviles: Amen.

379 00:33:39.660 ⇒ 00:33:41.330 Uttam Kumaran: It, like, yeah, it’s…

380 00:33:41.970 ⇒ 00:33:49.450 Uttam Kumaran: The Spike meeting is good, actually, but we’re testing out a few more tools. Yeah, maybe, Casey, I won’t steal your thunder, but yeah.

381 00:33:50.160 ⇒ 00:33:52.809 Robert Tseng: Okay, cool. Alright, well, we’ll hear that.

382 00:33:52.810 ⇒ 00:33:58.159 Uttam Kumaran: We, we do, we do have next steps. I think, one, we, we do need, like.

383 00:33:58.400 ⇒ 00:34:02.420 Uttam Kumaran: a subset of data to test on, so I think that’s what…

384 00:34:02.820 ⇒ 00:34:06.520 Uttam Kumaran: Jason needs to work with someone on. And then, really, it’s like.

385 00:34:07.010 ⇒ 00:34:11.700 Uttam Kumaran: Casey, what is your plan? Are you just gonna pick, like, 2 or 3 of the tools to then run on Eden?

386 00:34:12.760 ⇒ 00:34:16.310 Casie Aviles: Yup, so for, like, the ones that I’ve…

387 00:34:16.429 ⇒ 00:34:21.539 Casie Aviles: identified as the best. There’s, like, two, which is, Omni and…

388 00:34:22.100 ⇒ 00:34:24.390 Casie Aviles: The other one was called Bobby, and…

389 00:34:24.570 ⇒ 00:34:28.259 Casie Aviles: So I’m going to use those, the top candidates, and then…

390 00:34:28.800 ⇒ 00:34:33.670 Casie Aviles: I can also test some additional ones that were raised.

391 00:34:33.900 ⇒ 00:34:38.620 Casie Aviles: like, suggested tools, but yeah, that’s… that’s how I’ll be doing it.

392 00:34:39.989 ⇒ 00:34:44.269 Uttam Kumaran: Yeah, I guess, Robert, what, what dataset do you want to test on?

393 00:34:44.669 ⇒ 00:34:45.349 Uttam Kumaran: That’s probably.

394 00:34:47.780 ⇒ 00:34:59.830 Robert Tseng: I guess if I were to go and figure that out, I would probably just look through the questions that we’ve been getting. I know we haven’t been doing a good job of actually logging them, even though I’ve said we probably should.

395 00:35:00.410 ⇒ 00:35:04.279 Robert Tseng: Whatever we’re getting asked the most frequently, we should just try to answer that question.

396 00:35:04.870 ⇒ 00:35:10.989 Robert Tseng: Like, it’s probably, like, some pharmacy-related reporting that’s, like.

397 00:35:11.210 ⇒ 00:35:21.230 Robert Tseng: orders, refunds for this particular month, or whatever, like, I feel like I’ve seen that kind of pop up the most, but I haven’t been monitoring the channels. Maybe Amber would know more.

398 00:35:22.340 ⇒ 00:35:30.920 Awaish Kumar: I suggested, like, using data from order summary table, which has the pharmacy SLAs as well, refunds.

399 00:35:30.920 ⇒ 00:35:32.960 Robert Tseng: Yeah, I mean, that seems right.

400 00:35:37.350 ⇒ 00:35:37.870 Uttam Kumaran: Yeah.

401 00:35:39.350 ⇒ 00:35:50.279 Uttam Kumaran: Cool. Yeah, so I think, Casey, you can go for it. Yeah, it would be great to end this week. I mean, the… I think the TLDR is, like, there’s probably two standalone tools, and then one…

402 00:35:50.480 ⇒ 00:35:53.300 Uttam Kumaran: like Omni, which is wrapped up in a BI tool.

403 00:35:53.640 ⇒ 00:35:54.040 Robert Tseng: Yeah.

404 00:35:54.040 ⇒ 00:35:59.310 Uttam Kumaran: So, if you do… if you choose Omni.

405 00:36:00.100 ⇒ 00:36:03.450 Uttam Kumaran: you should consider also, like, moving Tableau onto there.

406 00:36:03.890 ⇒ 00:36:06.770 Uttam Kumaran: It’ll be… it might even end up cheaper.

407 00:36:07.850 ⇒ 00:36:14.330 Robert Tseng: Yeah, well, I mean, our Tableau contract’s up, by February… January, Feb, so, you know, we’ve.

408 00:36:14.330 ⇒ 00:36:15.200 Uttam Kumaran: Oh, nice.

409 00:36:15.370 ⇒ 00:36:16.429 Robert Tseng: parts. Yeah.

410 00:36:16.760 ⇒ 00:36:21.649 Uttam Kumaran: So maybe, Casey, as part of, your spike, can you also start to note, like.

411 00:36:21.940 ⇒ 00:36:28.519 Uttam Kumaran: check out Tableau, and just note down the dashboards that are in there, and you’ll kind of see the questions that are being answered.

412 00:36:28.720 ⇒ 00:36:35.049 Uttam Kumaran: Okay, so that’s helpful to know, actually. Like, what’s a rough ballpark we’re paying for Tableau?

413 00:36:37.130 ⇒ 00:36:40.480 Awaish Kumar: From documentation, we already have a list of dashboards.

414 00:36:41.040 ⇒ 00:36:41.640 Uttam Kumaran: Okay.

415 00:36:44.040 ⇒ 00:36:49.020 Robert Tseng: Yeah, I wanna just say…

416 00:36:49.660 ⇒ 00:36:53.719 Robert Tseng: Let’s say it’s, like, 22… or 20 to 25K.

417 00:36:54.120 ⇒ 00:36:55.000 Robert Tseng: A year.

418 00:36:55.620 ⇒ 00:36:57.419 Uttam Kumaran: I mean, how many, you know how many users?

419 00:36:57.800 ⇒ 00:37:00.500 Robert Tseng: Yeah, for about 20 users.

420 00:37:00.960 ⇒ 00:37:01.530 Uttam Kumaran: Okay.

421 00:37:02.640 ⇒ 00:37:03.350 Uttam Kumaran: Buh.

422 00:37:04.700 ⇒ 00:37:05.390 Robert Tseng: Yep.

423 00:37:06.910 ⇒ 00:37:12.120 Robert Tseng: Alright, I think I’m gonna kind of just skip this for now, we’ll move to the next one.

424 00:37:12.630 ⇒ 00:37:13.120 Awaish Kumar: Aye.

425 00:37:13.120 ⇒ 00:37:13.850 Robert Tseng: I’ve got inside.

426 00:37:13.850 ⇒ 00:37:16.170 Awaish Kumar: Can I just have a bit for Ashwini here.

427 00:37:16.440 ⇒ 00:37:22.200 Awaish Kumar: I added some description there, if you want to hurdle, we can… Huddle for that task.

428 00:37:24.050 ⇒ 00:37:31.779 Robert Tseng: Okay, great. Let’s skip to Insomnia. Yeah, Amber, what have you added since our last call?

429 00:37:34.760 ⇒ 00:37:38.060 Amber Lin: I sent them a follow-up based on the…

430 00:37:38.530 ⇒ 00:37:41.180 Amber Lin: Before and after the boxes spiked?

431 00:37:41.620 ⇒ 00:37:43.969 Amber Lin: That’s the main one,

432 00:37:44.540 ⇒ 00:37:49.820 Amber Lin: This week, I can also try and look at promotions, because they mentioned the finance team says.

433 00:37:50.190 ⇒ 00:37:51.910 Amber Lin: Their promotions are…

434 00:37:52.490 ⇒ 00:37:58.130 Amber Lin: making the same effect, so that’s interesting, but not sure if I have all the data for that.

435 00:38:03.470 ⇒ 00:38:04.120 Robert Tseng: Okay.

436 00:38:07.860 ⇒ 00:38:13.360 Amber Lin: Other than that, what… what support do you need? I can also help make the slides for you and Zoran.

437 00:38:17.630 ⇒ 00:38:35.399 Robert Tseng: Yeah, no, I think the Zoron, I think I’ll just… yeah, I’ll just take that one with Zoron. I mean, I still haven’t redesigned the impact scorecard, I just… yeah, but it seems… it seems like we’re… we’re just… we’re kind of stuck on that, unless I do it, so…

438 00:38:37.560 ⇒ 00:38:38.160 Amber Lin: I can take a.

439 00:38:38.160 ⇒ 00:38:38.830 Robert Tseng: Yeah, this is…

440 00:38:38.830 ⇒ 00:38:42.340 Amber Lin: you would send me some examples. I just haven’t seen that before.

441 00:38:44.680 ⇒ 00:38:52.069 Robert Tseng: Okay. Yeah, I could, I could send you, I could send you some examples,

442 00:38:55.050 ⇒ 00:38:59.949 Robert Tseng: Yeah, I mean, I think I would still prefer you to just focus on the analysis in terms of, like.

443 00:39:00.580 ⇒ 00:39:11.000 Robert Tseng: just keep… just keep giving Birdie, like… I mean, she’s your main stakeholder, right? I guess you’re talking to Matt, so whatever, whatever it is they need, like, you’ve been in truth to them, you have the relationship.

444 00:39:12.940 ⇒ 00:39:23.650 Robert Tseng: I don’t know if there’s a net new thing that you’re working on right now, but, like, I… like, I… that’s… you know, we have a lot of, like, loose ends right now, so I think you just gotta pick one up.

445 00:39:23.720 ⇒ 00:39:36.030 Amber Lin: Yeah, there’s no net new thing. I’ll try and tie up what I talked with Bertie, I’ll follow up with her, probably grab a meeting with her, and then push through the segment part, and then to the first checker you see there.

446 00:39:36.250 ⇒ 00:39:52.029 Robert Tseng: Yeah, yeah. I mean, obviously it’s a shorter week, so it’s not gonna… I doubt people are gonna be very active, and obviously they’re all floundering from losing their… their, leader, so, like, I don’t… I wouldn’t expect this to be too noisy. We just wanna kinda do our part and keep… keep.

447 00:39:52.330 ⇒ 00:39:56.160 Amber Lin: Yeah, sounds good. I’ll keep the presence and do what we promised.

448 00:39:57.170 ⇒ 00:40:03.280 Robert Tseng: Okay, great. Let’s go to Honey Stinger, also Amber mostly related, right? So…

449 00:40:03.280 ⇒ 00:40:16.320 Amber Lin: Yeah, I added a few tickets based on our call last time. So the PO analysis category of regional. She also mentioned inventory tracker. I don’t think I would be taking that.

450 00:40:16.470 ⇒ 00:40:22.750 Amber Lin: So… Like, that one’s from Demi about the inventory tracker, and then…

451 00:40:22.750 ⇒ 00:40:31.470 Robert Tseng: Yeah, they still… I don’t know if they gave us access yet, but I haven’t looked into… last time I tried to click into it, I was still blocked, so…

452 00:40:33.300 ⇒ 00:40:34.500 Amber Lin: I see. Okay.

453 00:40:35.050 ⇒ 00:40:39.070 Amber Lin: What about the demand plan for Byron?

454 00:40:41.290 ⇒ 00:40:47.180 Robert Tseng: Yeah, I mean, I would say that’s not, like, something we need to put out this week. I think that’s something…

455 00:40:48.150 ⇒ 00:40:56.339 Robert Tseng: That we should… I mean, that’s a good, like, deliverable by the end of our engagement. I don’t exactly know what he wants in…

456 00:40:56.750 ⇒ 00:41:05.210 Robert Tseng: that demand plan. I guess he was gonna talk to the C-suite, kind of… I mean, he wanted to get… he basically wanted forecasting, right? And it’s like, I don’t think we’re really…

457 00:41:05.280 ⇒ 00:41:21.880 Robert Tseng: ready for that, for demand planning across all their marketplaces. So, I mean, obviously you’re closing out some stuff on the Amazon work right now, and then I think, you know, we basically just need to be looking at Walmart and Shopify as well. So,

458 00:41:22.320 ⇒ 00:41:28.810 Robert Tseng: Yeah, I would say we should push on Honey Stinger, since we’re not really blocked on the Shopify and Walmart work.

459 00:41:29.370 ⇒ 00:41:30.090 Amber Lin: Okay.

460 00:41:30.270 ⇒ 00:41:41.240 Amber Lin: I’ll prioritize the PO stuff to close that out, and then… Yeah. …probably have another, like, one and a half, two days to look at the other stuff.

461 00:41:42.690 ⇒ 00:41:43.300 Robert Tseng: Yeah.

462 00:41:44.330 ⇒ 00:41:44.830 Amber Lin: Okay.

463 00:41:48.440 ⇒ 00:41:53.850 Henry Zhao: And then, amber, can we meet later today also, maybe just talk about the Walmart data?

464 00:41:54.080 ⇒ 00:41:55.700 Henry Zhao: I’m gonna look at your…

465 00:41:55.720 ⇒ 00:41:56.450 Amber Lin: Yeah.

466 00:41:56.450 ⇒ 00:41:57.010 Henry Zhao: Thanks.

467 00:41:57.010 ⇒ 00:41:58.710 Amber Lin: Yeah, yeah, sounds good.

468 00:41:58.710 ⇒ 00:42:00.240 Henry Zhao: Thanks for covering… covering me.

469 00:42:00.240 ⇒ 00:42:01.890 Amber Lin: Of course,

470 00:42:02.380 ⇒ 00:42:11.310 Amber Lin: I guess, Robert, since we’re all here, what’s the key objective we’re trying to find out on Walmart, Shopify? What’s the key question?

471 00:42:13.680 ⇒ 00:42:25.920 Robert Tseng: I think it’s still kind of exploratory on the Walmart side, like, I… we don’t really know… we’re kind of… we don’t know what we… what we do have. I think Shopify is a lot… is more standard, so.

472 00:42:26.260 ⇒ 00:42:36.819 Robert Tseng: I guess in one of my analysis outlines, I have something related to Shopify. I could resurface that, but otherwise, Walmart, you’re kind of just digging around, trying to figure out what we have in there, and, like.

473 00:42:36.990 ⇒ 00:42:39.409 Robert Tseng: Formulating, like, what questions we can ask.

474 00:42:39.410 ⇒ 00:42:39.800 Amber Lin: Yeah.

475 00:42:40.630 ⇒ 00:42:44.100 Amber Lin: We don’t have… don’t particularly have too much data.

476 00:42:44.690 ⇒ 00:42:48.919 Amber Lin: It’s all sales-related, so, like, I don’t see any inventory stuff yet.

477 00:42:49.720 ⇒ 00:42:53.889 Amber Lin: Yeah. So… Only traffic and sales.

478 00:42:54.210 ⇒ 00:43:07.759 Robert Tseng: Okay, well, if we can do things like comparing Walmart traffic to what we saw on Amazon, are they selling the same product? Are the traffic trends looking the same? Like, the size of Walmart versus Amazon? Yeah.

479 00:43:07.760 ⇒ 00:43:08.659 Amber Lin: I think, like…

480 00:43:08.880 ⇒ 00:43:14.550 Robert Tseng: helps them to get a better… like, I don’t think anybody’s looking at Walmart data right now, so… I would just start with…

481 00:43:14.710 ⇒ 00:43:16.669 Robert Tseng: benchmarking it against Amazon.

482 00:43:17.070 ⇒ 00:43:26.199 Amber Lin: Yeah, sounds good. The Walmart’s all at category level, and then some brands shelves are shops, so once I do that on Amazon, that’ll be a much better comparison.

483 00:43:27.030 ⇒ 00:43:27.650 Robert Tseng: Okay.

484 00:43:29.940 ⇒ 00:43:34.709 Robert Tseng: Great. And then read me… let’s go to README.

485 00:43:37.770 ⇒ 00:43:48.010 Robert Tseng: Yeah, I guess, the follow-ups from Alicia, I wasn’t on… I guess I wasn’t responding on that thread. I guess, Mustafa, are you clear on what you need to come back there with, or…

486 00:43:49.790 ⇒ 00:43:57.789 Mustafa Raja: Yeah, I have, I have, built up a version of it, so a couple of things we cannot do was…

487 00:43:57.820 ⇒ 00:44:10.629 Mustafa Raja: They wanted, docs audit errors. We don’t have metadata for that, like we did for linting, so, maybe engineering needs to add that for us to be able to build that.

488 00:44:10.740 ⇒ 00:44:20.290 Mustafa Raja: And then they wanted booster pack, filtering. We do have booster pack events, but, we would need booster pack…

489 00:44:20.510 ⇒ 00:44:24.020 Mustafa Raja: Metadata for coordinating inbox or… Hold.

490 00:44:24.020 ⇒ 00:44:27.050 Robert Tseng: Is this any… are there any tickets related to what you’re talking about?

491 00:44:28.860 ⇒ 00:44:30.470 Mustafa Raja: 57 would be it.

492 00:44:31.150 ⇒ 00:44:35.610 Robert Tseng: 57… Okay, so this is what you’re talking about, sure, okay.

493 00:44:35.850 ⇒ 00:44:44.280 Mustafa Raja: Yeah. Yeah, if you would scroll down, I believe we have the… Attached, Slack links, yeah.

494 00:44:47.240 ⇒ 00:44:53.000 Robert Tseng: Okay, so you’ve looked at some of this, we can’t… we can do some, we can’t do some, so I guess…

495 00:44:53.000 ⇒ 00:45:05.110 Mustafa Raja: Yeah, yeah, what we could do, I’ve added those, and, I, I have a, I have an update on Slack, on what we couldn’t do and why we couldn’t do it.

496 00:45:05.420 ⇒ 00:45:07.840 Mustafa Raja: Yeah, that’s it.

497 00:45:09.070 ⇒ 00:45:12.019 Robert Tseng: Okay, so this is for me to review at this point, you said?

498 00:45:12.020 ⇒ 00:45:12.800 Mustafa Raja: Yeah, yeah.

499 00:45:13.150 ⇒ 00:45:20.000 Robert Tseng: I don’t know how long you spent on it, but I just default put 2. If you want to adjust it, you can just let me know, I can adjust it.

500 00:45:20.670 ⇒ 00:45:23.819 Mustafa Raja: Okay, I’ll, I’ll go back and check how much I spent.

501 00:45:24.280 ⇒ 00:45:24.900 Robert Tseng: Yeah.

502 00:45:25.400 ⇒ 00:45:33.259 Robert Tseng: And then the linting and docs thing. We already reviewed this as well, so I think this was good for now. I might just close this out.

503 00:45:34.230 ⇒ 00:45:35.670 Robert Tseng: Same thing.

504 00:45:36.190 ⇒ 00:45:37.750 Robert Tseng: This one’s good.

505 00:45:42.650 ⇒ 00:45:46.950 Robert Tseng: Okay, and then reconciling Amplitude and Mongo…

506 00:45:47.130 ⇒ 00:45:52.719 Robert Tseng: We gave them what they needed to do in order to,

507 00:45:55.680 ⇒ 00:46:03.700 Robert Tseng: well, actually, we said we were going to get closer to the user signups, so… I guess maybe that’s another thing to kind of push back to you.

508 00:46:04.380 ⇒ 00:46:18.340 Robert Tseng: So, going back to in progress, four steps… and funnel… Foc… focus on validating…

509 00:46:18.650 ⇒ 00:46:23.780 Robert Tseng: on getting the sign-up numbers in Mongo to…

510 00:46:24.990 ⇒ 00:46:33.990 Robert Tseng: match amplitude, right? So this is, you know, we were at 8,000 versus, like, 3,000. You brought the 8,000 down to 5,000 by verifying email.

511 00:46:34.100 ⇒ 00:46:49.990 Robert Tseng: they were saying that that’s actually not the filter they want to use, because they want to… because people can create projects even if they haven’t verified their email, and they don’t want to… they don’t want to have that filter. So,

512 00:46:50.470 ⇒ 00:46:59.769 Robert Tseng: don’t filter out unverified emails. So, we just gotta have to investigate, like, what is really that gap? Is it because there’s some other

513 00:47:00.150 ⇒ 00:47:14.860 Robert Tseng: filtering happening in amplitude that we’re not capturing, or is it double counting in Mongo, or I don’t know what it is, but yeah, that’s… we kind of have to just try to see if we can at least explain the gap between the 3K and 5K.

514 00:47:15.850 ⇒ 00:47:16.480 Mustafa Raja: Yeah.

515 00:47:16.770 ⇒ 00:47:18.849 Mustafa Raja: Yeah, I’ll take a look at that.

516 00:47:19.480 ⇒ 00:47:23.190 Robert Tseng: Yeah, and they were good with the subscription success thing.

517 00:47:23.320 ⇒ 00:47:39.380 Robert Tseng: So, README team will push, manage, like, I guess… Plan events into… amplitude,

518 00:47:40.390 ⇒ 00:47:46.999 Robert Tseng: Do not use, plan launch, or attempted launch.

519 00:47:47.320 ⇒ 00:47:51.890 Robert Tseng: as proxy plan change events anymore. Okay.

520 00:47:52.620 ⇒ 00:47:57.040 Robert Tseng: Okay, great. So I think there’s a couple things for you to do there.

521 00:47:57.820 ⇒ 00:48:00.470 Robert Tseng: Move this back into in progress.

522 00:48:01.750 ⇒ 00:48:05.470 Robert Tseng: Yeah, and then this is just… done.

523 00:48:05.590 ⇒ 00:48:06.680 Robert Tseng: Great.

524 00:48:07.030 ⇒ 00:48:10.170 Robert Tseng: Okay, I think that’s good for README for this week for now.

525 00:48:12.650 ⇒ 00:48:26.890 Robert Tseng: Alright, I think that’s all I got, with Ellie, like, yeah, I know we are in emails. I’ve been messaging Allison, like, twice a week, so she still hasn’t really gone back to me on that… on… on the contract renewal, but…

526 00:48:28.290 ⇒ 00:48:30.069 Robert Tseng: Okay, anything else?

527 00:48:35.280 ⇒ 00:48:39.089 Uttam Kumaran: You wanna, review the Eden stuff for… one more time?

528 00:48:39.090 ⇒ 00:48:44.790 Robert Tseng: I can do that. Well, and then, I guess, if anyone that’s not related to that, you can feel free to drop off.

529 00:48:49.750 ⇒ 00:48:54.909 Uttam Kumaran: Yeah, maybe, Zoran, I can have you present first the marketing roadmap?

530 00:49:04.120 ⇒ 00:49:04.940 Zoran Selinger: Sure.

531 00:49:22.780 ⇒ 00:49:27.330 Uttam Kumaran: Oh, also, Robert, I guess while we have a sec, I’m meeting with, Snowflake, finally.

532 00:49:27.790 ⇒ 00:49:28.420 Uttam Kumaran: In, like, 2 hours.

533 00:49:28.420 ⇒ 00:49:29.770 Robert Tseng: Oh, great.

534 00:49:30.060 ⇒ 00:49:31.200 Robert Tseng: Finally.

535 00:49:32.910 ⇒ 00:49:34.660 Uttam Kumaran: Finally.

536 00:49:37.090 ⇒ 00:49:42.609 Robert Tseng: Dude, we gotta get on the Omni and Mother Duck directories. I was, like, kinda going down a rabbit hole.

537 00:49:42.610 ⇒ 00:49:43.990 Uttam Kumaran: Why are we not on there?

538 00:49:44.970 ⇒ 00:49:47.670 Robert Tseng: Yeah, we’re not on either of their directories.

539 00:49:47.670 ⇒ 00:49:48.080 Uttam Kumaran: just set.

540 00:49:48.950 ⇒ 00:49:49.680 Robert Tseng: Yeah.

541 00:49:49.920 ⇒ 00:49:51.590 Uttam Kumaran: Send it to me, I’ll get us on there.

542 00:49:52.160 ⇒ 00:49:52.780 Robert Tseng: Okay.

543 00:49:53.580 ⇒ 00:49:55.050 Uttam Kumaran: I didn’t even know they had one.

544 00:49:55.790 ⇒ 00:49:56.390 Robert Tseng: Yeah.

545 00:49:59.960 ⇒ 00:50:06.130 Uttam Kumaran: Yeah, I have, like, I… and, dude, we have, like, a bunch of opportunities to register with both of them, so we’re, like,

546 00:50:06.470 ⇒ 00:50:10.260 Uttam Kumaran: Oh, like, this Omni Partner Program, like, page?

547 00:50:11.200 ⇒ 00:50:11.850 Robert Tseng: Yeah.

548 00:50:13.170 ⇒ 00:50:14.760 Uttam Kumaran: Yeah, yeah, I’ll ask them.

549 00:50:14.760 ⇒ 00:50:17.350 Robert Tseng: We gotta be… we gotta be on the first page.

550 00:50:18.870 ⇒ 00:50:20.560 Uttam Kumaran: Yeah, yeah, yeah. Okay, cool.

551 00:50:20.860 ⇒ 00:50:21.700 Uttam Kumaran: Nice.

552 00:50:22.170 ⇒ 00:50:22.740 Robert Tseng: Yeah.

553 00:50:26.890 ⇒ 00:50:31.720 Zoran Selinger: Yeah, okay, so here, obviously we have stuff for…

554 00:50:32.180 ⇒ 00:50:41.590 Zoran Selinger: basically by… till the end of the year, as you can see from the timeline. So we need to… we need to work on,

555 00:50:41.780 ⇒ 00:50:45.570 Zoran Selinger: on Q1 activities that we’re gonna do.

556 00:50:45.710 ⇒ 00:50:54.430 Zoran Selinger: Utam said last week that, yeah, like, by mid-December, we should have have a plan there.

557 00:50:54.700 ⇒ 00:50:58.440 Zoran Selinger: And that’s fine. We are… we’re gonna be on time to do that.

558 00:50:58.750 ⇒ 00:51:07.920 Zoran Selinger: But for now, generally speaking, we are working on NordBeam, we are working on…

559 00:51:08.480 ⇒ 00:51:14.389 Zoran Selinger: on a few, a few edge layer improvements, like this Basque session.

560 00:51:14.540 ⇒ 00:51:33.920 Zoran Selinger: update that, they issued, and we’re going to add a few more identifiers that are gonna tie into, to basically, to client, platforms, like GA4 and, and Segment. So, we do not have, a plan

561 00:51:34.070 ⇒ 00:51:37.899 Zoran Selinger: To use it at the moment, but those identifiers are gonna…

562 00:51:38.150 ⇒ 00:51:42.420 Zoran Selinger: Are going to enable us to do stitching.

563 00:51:42.540 ⇒ 00:51:44.909 Zoran Selinger: In the future, if you want to.

564 00:51:45.090 ⇒ 00:51:46.530 Zoran Selinger: So…

565 00:51:46.730 ⇒ 00:51:59.320 Zoran Selinger: we are going to be able to do a little bit more when it comes to identity stitching, because we’re going to have, like, in the same table, you’re going to have edge IDs.

566 00:51:59.440 ⇒ 00:52:11.259 Zoran Selinger: session IDs, user IDs, but also you’re gonna have a segment anonymous ID, you’re gonna have a GA client ID, GA4 client ID.

567 00:52:11.430 ⇒ 00:52:21.880 Zoran Selinger: And we can use all those tables now, to figure out, basically, who the person is, even if one of those identifiers gets cleaned up, gets changed, whatever.

568 00:52:23.260 ⇒ 00:52:31.000 Zoran Selinger: Right now, we don’t have a strict use case, but we want to enable that, as well. I just, today, I need,

569 00:52:31.400 ⇒ 00:52:36.719 Zoran Selinger: access to Basque, I just still don’t have it. Unfortunately, I can’t…

570 00:52:36.720 ⇒ 00:52:37.380 Robert Tseng: We have one month ago.

571 00:52:37.380 ⇒ 00:52:37.990 Zoran Selinger: document.

572 00:52:39.310 ⇒ 00:52:40.970 Zoran Selinger: It’s, yeah.

573 00:52:41.430 ⇒ 00:52:44.220 Zoran Selinger: It’s not shared with me,

574 00:52:44.480 ⇒ 00:52:46.400 Zoran Selinger: in one pass, so I don’t have.

575 00:52:46.400 ⇒ 00:52:48.880 Uttam Kumaran: Oh, wait, it’s here, I see a data triadin, right?

576 00:52:49.020 ⇒ 00:52:51.319 Robert Tseng: Yep, that’s the only one that we have.

577 00:52:52.580 ⇒ 00:52:53.320 Uttam Kumaran: I’ll send it to you.

578 00:52:53.320 ⇒ 00:52:57.530 Zoran Selinger: Yeah, I just can’t read the documentation on their update without the login.

579 00:52:57.720 ⇒ 00:53:05.729 Zoran Selinger: So I’m gonna… I’m gonna make adjustments, in GTM and Edge.

580 00:53:05.920 ⇒ 00:53:07.170 Zoran Selinger: Based on that.

581 00:53:07.480 ⇒ 00:53:08.420 Zoran Selinger: Okay.

582 00:53:08.830 ⇒ 00:53:14.429 Zoran Selinger: Yeah, we’re trying to activate Meta as well, like I said, so I’m gonna… I’m gonna work on that.

583 00:53:14.860 ⇒ 00:53:21.490 Zoran Selinger: And then after that, we are, so hopefully, this week.

584 00:53:22.050 ⇒ 00:53:36.509 Zoran Selinger: Avash, we do Catalyst as well, as the priority. I’m gonna work on Meta. I know we are getting pushed, and Henry, you know this better than I do, because you had those conversations about upfluence.

585 00:53:37.020 ⇒ 00:53:37.880 Henry Zhao: Yup.

586 00:53:38.400 ⇒ 00:53:41.429 Zoran Selinger: Yeah, so they also want us to do this.

587 00:53:41.910 ⇒ 00:53:42.840 Zoran Selinger: Right.

588 00:53:42.960 ⇒ 00:53:47.439 Henry Zhao: I think, I think, Demolade was working on it, but he’s been out for a while now, so we can talk about that.

589 00:53:47.440 ⇒ 00:53:49.489 Uttam Kumaran: Working on what? Afluence?

590 00:53:49.680 ⇒ 00:53:54.990 Uttam Kumaran: So it’s the same thing. So, set up polyatomic connectors is not done yet.

591 00:53:55.910 ⇒ 00:53:57.840 Henry Zhao: Oh, right, that one, yeah, that one’s not done yet.

592 00:53:57.980 ⇒ 00:53:59.270 Uttam Kumaran: So… Yep.

593 00:53:59.750 ⇒ 00:54:00.290 Uttam Kumaran: Yep.

594 00:54:00.290 ⇒ 00:54:09.779 Zoran Selinger: But I scheduled it for, you know, early December, so I’m not putting it as something that we need to do immediately.

595 00:54:09.780 ⇒ 00:54:10.410 Uttam Kumaran: Okay.

596 00:54:10.410 ⇒ 00:54:22.289 Zoran Selinger: And then, by the end of, by the end of December, a TikTok would be… would be really good to have. We… I kind of promised Carter, once we figure out the meta.

597 00:54:22.500 ⇒ 00:54:26.360 Zoran Selinger: It’s gonna be pretty easy for us to replicate it for TikTok.

598 00:54:26.830 ⇒ 00:54:29.910 Zoran Selinger: I still think that’s the case, so…

599 00:54:30.180 ⇒ 00:54:38.519 Zoran Selinger: hoping, hoping we’ll… we’ll be able to do that. So once we, once I do this, it’s be… it’s gonna be pretty easy.

600 00:54:38.720 ⇒ 00:54:48.680 Zoran Selinger: To replicate it here. And then for every other channel that is basically similar, if… if we are going to continue to

601 00:54:49.130 ⇒ 00:54:51.649 Zoran Selinger: To credit channels with this.

602 00:54:51.840 ⇒ 00:54:58.700 Zoran Selinger: And with this first touch conversion, then, basically.

603 00:54:58.900 ⇒ 00:55:06.990 Zoran Selinger: those models will be almost identical, we just changed what the UTMs are that we are looking for, and…

604 00:55:07.210 ⇒ 00:55:16.959 Zoran Selinger: we can activate almost any channel. And then, obviously, reverse ETL piece is gonna be a little bit different, because APIs are different, but

605 00:55:18.290 ⇒ 00:55:20.550 Zoran Selinger: That’s basically,

606 00:55:22.280 ⇒ 00:55:34.850 Zoran Selinger: So that’s what we have so far. We’re gonna have… we’re gonna have to find opportunities for, for other… other stuff. We have a few recurring, things that we… that kind of popped up.

607 00:55:34.960 ⇒ 00:55:44.299 Zoran Selinger: We want to do, you see, so, Utam knows this, we talked about this, but Robert, this UTM audit.

608 00:55:45.170 ⇒ 00:55:50.079 Zoran Selinger: I would like to automate it and do it weekly, so what I’m doing today

609 00:55:50.780 ⇒ 00:56:04.970 Zoran Selinger: I was… I basically searched all the, kind of, distinct combinations of UTM source and medium, which are really the most important ones when we… when we’re trying to figure out which channel drives traffic.

610 00:56:05.330 ⇒ 00:56:13.530 Zoran Selinger: And there’s quite a few non-standard things in there. We want to clean that up as much as possible, but that doesn’t…

611 00:56:13.530 ⇒ 00:56:14.800 Henry Zhao: Boy, I…

612 00:56:14.940 ⇒ 00:56:20.799 Henry Zhao: Yeah. Just FYI, I did give a training to all the marketers last week on, you know, setting this up properly, so it should be.

613 00:56:20.800 ⇒ 00:56:21.800 Zoran Selinger: Looking better.

614 00:56:22.010 ⇒ 00:56:24.959 Zoran Selinger: Oh, excellent, I did not know that.

615 00:56:24.960 ⇒ 00:56:33.910 Henry Zhao: That’s what we were doing in that spreadsheet, is having each person put down, like, what they decided is gonna be their setup for UTMs, and they have to adhere to that. So we can go over that when.

616 00:56:33.910 ⇒ 00:56:51.630 Zoran Selinger: That is fantastic. I did not know that, that that happened. That’s excellent. Okay, cool. So, I fully expect, then, that, that it’s gonna look better, and the, like, next week’s analysis is gonna look… look better.

617 00:56:51.750 ⇒ 00:56:55.850 Zoran Selinger: We do have a few, kind of, bugs with automation.

618 00:56:55.990 ⇒ 00:57:08.930 Zoran Selinger: For example, Stuart has, has, an ad script that does a little bit of, tagging for it, for, for him automatically, and there are few, like.

619 00:57:09.140 ⇒ 00:57:20.020 Zoran Selinger: errors that sometimes appear, which results in non-standard UTMs. So this is why we wanna, we wanna figure that out this week, and maybe next.

620 00:57:20.530 ⇒ 00:57:24.060 Zoran Selinger: Cause this is a short week, right?

621 00:57:25.190 ⇒ 00:57:34.359 Zoran Selinger: So that’s the idea there. When it comes to… to NordBeam, if it looks good, basically.

622 00:57:35.030 ⇒ 00:57:40.050 Zoran Selinger: if you wanna continue using it, I… I really wanna do…

623 00:57:40.220 ⇒ 00:57:43.930 Zoran Selinger: a quarterly review, the same… the same one I did

624 00:57:44.050 ⇒ 00:58:03.910 Zoran Selinger: last week, to figure out, you know, the percentage of transactions that we are capturing, first touch, last touch, all that stuff. I think that’s good to, to have, like, a recurring review, maybe once a quarter. If not, then we restart the conversations with Wicked.

625 00:58:04.070 ⇒ 00:58:13.120 Zoran Selinger: At that point. But that comes in February. So that’s basically one action that we know is gonna happen in Q1.

626 00:58:15.270 ⇒ 00:58:18.709 Zoran Selinger: And yeah, that’s basically it for now.

627 00:58:21.830 ⇒ 00:58:24.109 Robert Tseng: Okay, yeah, no, this looks great.

628 00:58:24.110 ⇒ 00:58:24.770 Zoran Selinger: Okay.

629 00:58:27.320 ⇒ 00:58:37.060 Uttam Kumaran: Yeah, my feedback, Robert, is, like, now this is, like, my second pass at it, is, like, I wonder how we can align the sections with, like.

630 00:58:37.320 ⇒ 00:58:38.720 Uttam Kumaran: Objectives?

631 00:58:39.670 ⇒ 00:58:40.790 Robert Tseng: You know?

632 00:58:41.240 ⇒ 00:58:45.940 Uttam Kumaran: Versus just, like, we’re doing Catalysts, it’s like, what is this ladder into?

633 00:58:47.200 ⇒ 00:59:01.579 Robert Tseng: Yeah, I mean, I’ve sent Zoran and the… I mean, you’ve probably been sent cutters, whatever, OKRs before. I mean, if there’s a way to, like, kind of add those section headings and then move these under those, I think that would be… that would be great.

634 00:59:05.040 ⇒ 00:59:22.489 Zoran Selinger: Yeah, exactly. So, on those OKRs, you’re gonna see Meta, you’re gonna see Afluence, you’re gonna see Catalyst. Basically, the whole purpose, based on those OKRs, it just seems, okay, we want to activate channels, and we wanna increase volume significantly.

635 00:59:24.590 ⇒ 00:59:41.210 Robert Tseng: So, you know, I think that, you know, there… we could probably separate… I mean, once… I think this is just, like, a re… this is just about rearranging things, but I recall him sending, like, 3 bullets

636 00:59:41.210 ⇒ 00:59:45.960 Robert Tseng: You know, each of those is kind of a section that we move around. Meta should probably be its own.

637 00:59:45.960 ⇒ 00:59:48.239 Robert Tseng: And then the other channels should be, like.

638 00:59:49.160 ⇒ 00:59:51.910 Robert Tseng: Kind of another, another, another session.

639 00:59:52.050 ⇒ 00:59:57.490 Uttam Kumaran: Well, so what you can do, Zoran, is you can actually create a view, I think, So…

640 00:59:57.800 ⇒ 01:00:08.000 Uttam Kumaran: somewhere in the top left or something, you can keep the tasks, and then just create, like, new sections. So this is, like, more of the functional, like, execution view.

641 01:00:08.000 ⇒ 01:00:17.829 Uttam Kumaran: You should then create a view that ladders to the OKRs. All it’s gonna be is changing sections. I think that would just, like, take this to the… probably to the… where… to the next level.

642 01:00:17.830 ⇒ 01:00:19.580 Zoran Selinger: Oh, right, right, okay.

643 01:00:19.960 ⇒ 01:00:29.990 Uttam Kumaran: I don’t know, I would tell you exactly how to do it, something and options or something, but basically, it’s like, you just create a duplicate view of this, and you can just edit the sections. Ideally, that ladders up.

644 01:00:30.120 ⇒ 01:00:37.389 Uttam Kumaran: then I feel like this is in a good spot. The only other feedback I have is I was like, okay, what’s after December, you know?

645 01:00:38.990 ⇒ 01:00:44.579 Uttam Kumaran: So I think, Robert, one thing I would like to start to plan out is, like, what is the Q1 plan?

646 01:00:44.770 ⇒ 01:00:47.710 Uttam Kumaran: And start to get… get the tasks in there.

647 01:00:50.120 ⇒ 01:00:57.660 Uttam Kumaran: I just want to make it very obvious to everybody where, like, delays are coming from, and then you have something visual, and for me, this is really helpful to see like this, so…

648 01:00:59.190 ⇒ 01:01:08.709 Robert Tseng: Yeah, well, now that this is, like, everything marketing analytics for Eden, like, I think these are… this is what you should pull up when you go to these Wednesday calls with Mitesh and Qatar.

649 01:01:08.940 ⇒ 01:01:28.869 Robert Tseng: just pull up, starting from there, and, like, you should just kind of ask them for the roadmap from that. I mean, I can be there to facilitate a conversation, and I’ll just tell them, like, these are all the things that we’re doing right now, and ask them for what’s coming. But yeah, I do think this… this is, like, we should always be starting from this, and on those calls, from now on.

650 01:01:31.730 ⇒ 01:01:33.490 Zoran Selinger: Yeah, good, makes sense.

651 01:01:33.960 ⇒ 01:01:34.470 Robert Tseng: Yeah.

652 01:01:38.220 ⇒ 01:01:43.260 Robert Tseng: Okay, cool. Yeah, so Zaron, I guess, what, last thing is just,

653 01:01:43.510 ⇒ 01:01:51.210 Robert Tseng: when I’m booking these calls, I’m gonna try to do it, like, Eastern morning, so that’s that okay for you?

654 01:01:52.430 ⇒ 01:02:10.479 Zoran Selinger: Yeah, I mean, generally speaking, as early as possible is fine. So, if I have obligations, like, in the evening, like, for example, today, I can still, when I finish them, I can still come on a little bit later, before I go to bed, if I need.

655 01:02:10.480 ⇒ 01:02:10.960 Robert Tseng: Yeah.

656 01:02:10.960 ⇒ 01:02:13.700 Zoran Selinger: Right? That’s always… that’s always an option.

657 01:02:14.160 ⇒ 01:02:23.969 Zoran Selinger: So I’m gonna be, for example, in an hour, I’m gonna go away, and probably be away for 3 hours, but I can log in again when I come back.

658 01:02:25.190 ⇒ 01:02:40.249 Robert Tseng: Okay. Well, I will… I will try to do it earlier, because I would prefer not to come back in 3 hours. I already am coming back in 5 hours. I’d like to nap for, like, 4 hours, so…

659 01:02:41.790 ⇒ 01:02:43.230 Robert Tseng: Okay, alright.

660 01:02:43.420 ⇒ 01:02:44.350 Robert Tseng: See you guys.

661 01:02:45.620 ⇒ 01:02:49.350 Uttam Kumaran: Okay. Ashwin, if you want… you guys want to stay on? Ashwini Awish, maybe briefly? Yep, yep

662 01:02:49.540 ⇒ 01:02:51.610 Uttam Kumaran: Okay, okay, alright. Thanks, everyone else.

663 01:02:52.060 ⇒ 01:02:57.430 Uttam Kumaran: Yeah, I just want to talk about, like, maybe Eden planned this week, since,

664 01:02:57.680 ⇒ 01:03:02.709 Uttam Kumaran: I think, mainly, Ashwin, it’ll be ramping you up on other tasks. I guess tell me how…

665 01:03:02.940 ⇒ 01:03:06.240 Uttam Kumaran: Things are going. Yeah.

666 01:03:07.490 ⇒ 01:03:14.250 Ashwini Sharma: Yeah, so, right now I’m just working on that Metaplane thing, creating monitors out of DVD models, so it has worked out.

667 01:03:14.730 ⇒ 01:03:22.210 Ashwini Sharma: I’ll just run you through some of the model, some of the monitors that I’ve created using configuration on dbt.

668 01:03:22.430 ⇒ 01:03:30.019 Ashwini Sharma: And if that works out, I’ll just replicate it across all the models that I think should have those monitors on, and I should be done with that.

669 01:03:30.580 ⇒ 01:03:31.130 Uttam Kumaran: Okay.

670 01:03:33.780 ⇒ 01:03:37.589 Ashwini Sharma: Yeah, and Avish has assigned me another ticket, which,

671 01:03:38.400 ⇒ 01:03:42.419 Ashwini Sharma: Which I’ll sync up with him, at least that was the plan after this call.

672 01:03:42.420 ⇒ 01:03:44.249 Awaish Kumar: Wow, hmm, we can think now.

673 01:03:44.430 ⇒ 01:03:45.319 Ashwini Sharma: Oh yeah, yeah.

674 01:03:46.230 ⇒ 01:03:46.940 Ashwini Sharma: Show.

675 01:03:47.110 ⇒ 01:03:56.570 Awaish Kumar: So, okay, so the task is basically, last time I showed you a model which basically uses filter on, just some… using some…

676 01:03:56.960 ⇒ 01:04:04.870 Awaish Kumar: rejects… And… Yeah, we were basically filtering out the…

677 01:04:05.550 ⇒ 01:04:08.910 Awaish Kumar: Like, filtering out the transactions, which are…

678 01:04:09.250 ⇒ 01:04:17.020 Awaish Kumar: which belong to the catalyst. So now they want to… that means the client, Wants to change that logic.

679 01:04:17.360 ⇒ 01:04:23.270 Awaish Kumar: Instead of exactly filtering On those substrings.

680 01:04:23.850 ⇒ 01:04:25.949 Awaish Kumar: We want to change that logic.

681 01:04:26.280 ⇒ 01:04:28.719 Ashwini Sharma: What is the model we are talking about?

682 01:04:29.570 ⇒ 01:04:32.140 Awaish Kumar: get less successful orders. You’ve worked in…

683 01:04:32.570 ⇒ 01:04:34.800 Ashwini Sharma: Yeah, yeah, yeah, yeah, yeah, okay.

684 01:04:35.590 ⇒ 01:04:38.260 Ashwini Sharma: Once again… Give me a second.

685 01:04:42.170 ⇒ 01:04:45.100 Ashwini Sharma: Alright, and what’s the thing over here?

686 01:04:47.870 ⇒ 01:04:53.930 Awaish Kumar: Scroll down… Yeah, this… Line number 39.

687 01:04:54.280 ⇒ 01:04:55.010 Ashwini Sharma: Okay.

688 01:04:55.960 ⇒ 01:04:58.480 Awaish Kumar: This is what we wanna get rid of.

689 01:04:59.060 ⇒ 01:04:59.540 Ashwini Sharma: Okay.

690 01:04:59.860 ⇒ 01:05:03.819 Awaish Kumar: The new logic would be,

691 01:05:04.840 ⇒ 01:05:08.249 Awaish Kumar: To, basically, you have a…

692 01:05:08.680 ⇒ 01:05:11.709 Awaish Kumar: In the ticket, I have mentioned two tables.

693 01:05:12.050 ⇒ 01:05:20.609 Awaish Kumar: And the third one is, like, the orders data, which we are already using. So, catalyst orders, CT, if you look at that.

694 01:05:22.250 ⇒ 01:05:26.079 Awaish Kumar: So we already have our orders data coming from this city.

695 01:05:26.240 ⇒ 01:05:31.590 Awaish Kumar: Now, what the next thing is, Is to join this data, with the…

696 01:05:31.700 ⇒ 01:05:34.220 Awaish Kumar: two tables I have listed in the ticket.

697 01:05:34.520 ⇒ 01:05:38.829 Awaish Kumar: One is called Thank You Page Visits, which is also here.

698 01:05:39.140 ⇒ 01:05:46.759 Awaish Kumar: And what will you get? You can join thank you page visits table with orders data using transaction ID.

699 01:05:47.370 ⇒ 01:05:52.390 Awaish Kumar: And then you are going to get a session ID, And then…

700 01:05:52.570 ⇒ 01:05:56.770 Awaish Kumar: Using session ID, you can connect that data.

701 01:05:57.400 ⇒ 01:06:00.649 Awaish Kumar: With an edge layer table.

702 01:06:01.010 ⇒ 01:06:04.429 Awaish Kumar: The exact name is in the ticket, you can then connect with that.

703 01:06:04.680 ⇒ 01:06:15.120 Awaish Kumar: And the final logic, when all three tables are connected, The final logic is that… For each transaction, Oh…

704 01:06:15.560 ⇒ 01:06:18.090 Awaish Kumar: You have to look at the…

705 01:06:18.420 ⇒ 01:06:28.269 Awaish Kumar: event completed timestamp, minus 14 days. In that time period, if there is any row you find in the edge layer table.

706 01:06:28.760 ⇒ 01:06:32.599 Awaish Kumar: And the UTM source is catalyst.

707 01:06:32.720 ⇒ 01:06:37.269 Awaish Kumar: Then we are going to… Select that, as a catalyst.

708 01:06:37.440 ⇒ 01:06:38.850 Awaish Kumar: Successful order.

709 01:06:39.090 ⇒ 01:06:41.410 Awaish Kumar: Otherwise, we are going to filter that out.

710 01:06:43.120 ⇒ 01:06:43.760 Ashwini Sharma: Okay.

711 01:06:44.940 ⇒ 01:06:46.399 Ashwini Sharma: This is recorded, right?

712 01:06:47.230 ⇒ 01:06:47.790 Awaish Kumar: Yes.

713 01:06:47.790 ⇒ 01:06:53.619 Henry Zhao: And just remember, Ashmini, that this might change in the near future as Ron and I implement the session IDs.

714 01:06:53.800 ⇒ 01:06:55.009 Henry Zhao: From Basque.

715 01:06:55.200 ⇒ 01:06:59.369 Henry Zhao: But we’ll update you when that time comes. Just giving you a heads up.

716 01:06:59.800 ⇒ 01:07:00.890 Ashwini Sharma: Sure, sure, yeah.

717 01:07:03.090 ⇒ 01:07:06.420 Awaish Kumar: And, yeah, if… Zoran, are you listening?

718 01:07:10.630 ⇒ 01:07:23.719 Awaish Kumar: Okay, right now, you can use UTM source as catalyst, as a filter in the… in your logic, actually, but that UTM source, like, what is the standard naming convention? Like, Zoran?

719 01:07:24.010 ⇒ 01:07:27.810 Awaish Kumar: We’ll be going… Will going to share with us, right?

720 01:07:28.040 ⇒ 01:07:36.089 Awaish Kumar: So, he needs to have filter on UTM source field and UTM medium field. There are two different fields for UTMs.

721 01:07:36.310 ⇒ 01:07:41.410 Awaish Kumar: And he’s going to share the strings, what we need to filter on, basically.

722 01:07:44.010 ⇒ 01:07:49.910 Awaish Kumar: But right now, you can just say UTM source equals catalyst is the… Catalyst order.

723 01:07:51.840 ⇒ 01:07:52.570 Ashwini Sharma: Okay.

724 01:08:05.590 ⇒ 01:08:07.760 Awaish Kumar: Okay, anything else?

725 01:08:09.190 ⇒ 01:08:12.379 Awaish Kumar: Yeah, for this week, as Zoran said.

726 01:08:12.920 ⇒ 01:08:15.240 Awaish Kumar: One other ticket regarding Meta.

727 01:08:16.279 ⇒ 01:08:20.360 Awaish Kumar: Carnugen API, I have created the model.

728 01:08:20.540 ⇒ 01:08:23.720 Awaish Kumar: But there’s no data in there,

729 01:08:24.490 ⇒ 01:08:27.500 Awaish Kumar: Basically, in those tables, there’s no data for Facebook.

730 01:08:27.620 ⇒ 01:08:30.380 Awaish Kumar: So that table is not validated?

731 01:08:30.680 ⇒ 01:08:32.560 Awaish Kumar: So, I need to…

732 01:08:33.979 ⇒ 01:08:43.540 Awaish Kumar: So, the next task would be that when Zoran is done with his work, and we have some data coming in, we just need to validate that conversion API table.

733 01:08:43.810 ⇒ 01:08:46.829 Awaish Kumar: And, hand it over to Zoran, maybe?

734 01:08:47.270 ⇒ 01:08:51.490 Awaish Kumar: And help him with the… Setting up the reverse ETL.

735 01:08:51.850 ⇒ 01:08:53.850 Awaish Kumar: So I’m… yeah.

736 01:08:54.340 ⇒ 01:08:57.660 Awaish Kumar: He said he’s going to, like, he wants to finish.

737 01:08:58.140 ⇒ 01:09:03.759 Awaish Kumar: finish it this week, but yeah, I suspect it is going to take longer than… than a week.

738 01:09:06.410 ⇒ 01:09:10.260 Ashwini Sharma: Sure. Is there a ticket created, for this task, or…

739 01:09:11.859 ⇒ 01:09:13.320 Ashwini Sharma: We need to create one.

740 01:09:13.470 ⇒ 01:09:17.380 Awaish Kumar: We don’t… we… I already… there was a ticket, I already created a model.

741 01:09:17.590 ⇒ 01:09:19.899 Awaish Kumar: But now we just need to validate it.

742 01:09:20.140 ⇒ 01:09:22.230 Ashwini Sharma: What’s the model name?

743 01:09:22.810 ⇒ 01:09:30.109 Awaish Kumar: Yeah, model name is… Meta…

744 01:09:31.460 ⇒ 01:09:34.439 Awaish Kumar: Yeah, I need to look at what I named it.

745 01:09:36.300 ⇒ 01:09:38.130 Ashwini Sharma: Can you share the link to the ticket?

746 01:09:39.710 ⇒ 01:09:44.559 Awaish Kumar: Yeah, the ticket… the model is called…

747 01:09:45.000 ⇒ 01:09:49.120 Awaish Kumar: KP purchase events ready, and I can obviously…

748 01:09:49.120 ⇒ 01:09:49.720 Ashwini Sharma: Excuse me.

749 01:09:49.729 ⇒ 01:09:50.359 Awaish Kumar: Thank you.

750 01:09:52.129 ⇒ 01:09:52.849 Awaish Kumar: With a ticket.

751 01:09:53.560 ⇒ 01:09:54.500 Ashwini Sharma: KP?

752 01:09:57.160 ⇒ 01:09:57.810 Awaish Kumar: Sorry.

753 01:09:58.110 ⇒ 01:09:59.050 Uttam Kumaran: the API.

754 01:09:59.540 ⇒ 01:09:59.910 Ashwini Sharma: Oh.

755 01:10:00.070 ⇒ 01:10:02.910 Awaish Kumar: 3 is called Conversion API. Purchase…

756 01:10:03.550 ⇒ 01:10:05.920 Awaish Kumar: Events Ready is the table name.

757 01:10:11.870 ⇒ 01:10:12.470 Ashwini Sharma: Hmm.

758 01:10:13.090 ⇒ 01:10:16.580 Ashwini Sharma: I’m not able to find that in the… did you share it in the chat?

759 01:10:17.800 ⇒ 01:10:18.890 Awaish Kumar: Alright.

760 01:10:19.530 ⇒ 01:10:21.070 Ashwini Sharma: P underscore API.

761 01:10:22.230 ⇒ 01:10:24.390 Awaish Kumar: T-A-B-I.

762 01:10:24.790 ⇒ 01:10:27.370 Ashwini Sharma: B-A-P-I did it? Sorry.

763 01:10:28.520 ⇒ 01:10:30.969 Ashwini Sharma: I don’t see any model by this name.

764 01:10:32.860 ⇒ 01:10:33.950 Uttam Kumaran: C API.

765 01:10:34.960 ⇒ 01:10:36.490 Ashwini Sharma: Oh, see API.

766 01:10:37.300 ⇒ 01:10:39.009 Awaish Kumar: Yeah, I’ll just share the name in the chat.

767 01:10:39.550 ⇒ 01:10:40.100 Ashwini Sharma: Oh.

768 01:10:41.040 ⇒ 01:10:42.090 Ashwini Sharma: Okay.

769 01:10:45.320 ⇒ 01:10:49.350 Awaish Kumar: It just needs to be validated, and that’s all. I don’t know if…

770 01:10:49.350 ⇒ 01:10:50.620 Ashwini Sharma: Aw, man, this…

771 01:10:50.620 ⇒ 01:10:51.059 Awaish Kumar: He just,

772 01:10:51.060 ⇒ 01:10:53.079 Ashwini Sharma: Still not there. Hold on a second.

773 01:10:53.550 ⇒ 01:10:57.570 Ashwini Sharma: Am I looking at the right place? Let me share my screen.

774 01:11:04.440 ⇒ 01:11:06.399 Ashwini Sharma: Yeah, that’s not it.

775 01:11:08.450 ⇒ 01:11:11.699 Ashwini Sharma: Is it in a specific branch? Is it not in this codebase?

776 01:11:12.550 ⇒ 01:11:16.190 Awaish Kumar: It’s in, like, it’s… yeah, it’s, like, there’s a PR here, right?

777 01:11:20.850 ⇒ 01:11:22.000 Ashwini Sharma: Good smell.

778 01:11:22.000 ⇒ 01:11:24.710 Awaish Kumar: It’s not merged, it’s internal PR, like.

779 01:11:24.710 ⇒ 01:11:25.320 Ashwini Sharma: Listen.

780 01:11:25.320 ⇒ 01:11:26.500 Awaish Kumar: I’ve shared the link.

781 01:11:29.080 ⇒ 01:11:33.860 Awaish Kumar: So, basically, It needs to be validated before we merge it.

782 01:11:38.740 ⇒ 01:11:39.769 Ashwini Sharma: Got it, okay.

783 01:11:45.060 ⇒ 01:11:48.440 Ashwini Sharma: And what’s the validation for? That the data is coming in?

784 01:11:49.540 ⇒ 01:11:55.389 Awaish Kumar: Yeah, so there’s not enough data in there, so I… for the Facebook.

785 01:11:56.830 ⇒ 01:12:03.900 Awaish Kumar: In the age layer data, we only have, right now, we only have some rows which are for catalysts, and there’s…

786 01:12:04.740 ⇒ 01:12:10.340 Awaish Kumar: like, nothing for Facebook, because they have not started it for Facebook yet.

787 01:12:10.530 ⇒ 01:12:13.160 Awaish Kumar: So once they started, you know.

788 01:12:13.310 ⇒ 01:12:21.300 Awaish Kumar: lower volume, like, Zoran is going to start it with some volume, and we are going to validate it, and then we are going to merge it.

789 01:12:23.040 ⇒ 01:12:23.730 Ashwini Sharma: Okay.

790 01:12:30.360 ⇒ 01:12:31.310 Ashwini Sharma: Alright.

791 01:12:35.130 ⇒ 01:12:37.299 Awaish Kumar: Yeah, yeah, that’s all.

792 01:12:43.260 ⇒ 01:12:43.840 Uttam Kumaran: Okay.

793 01:12:43.990 ⇒ 01:12:58.539 Uttam Kumaran: So, Ashwini, I think maybe it… feel free to create tickets as you go. And then another question I had is, I know we’re… currently, the DE team meets before this meeting. I was just maybe wondering, like, maybe we should do, like, a…

794 01:12:58.980 ⇒ 01:13:05.740 Uttam Kumaran: Eden-specific… like, data engine meeting, How’s your, kind of, schedule, like…

795 01:13:06.190 ⇒ 01:13:14.849 Uttam Kumaran: I guess in the mornings, our time, like, what is the schedule like rest of the day? Are you mainly booked for the last hour before this meeting?

796 01:13:15.200 ⇒ 01:13:20.840 Ashwini Sharma: Yes, so generally, This… what time is it right now?

797 01:13:21.080 ⇒ 01:13:23.970 Ashwini Sharma: So this time, I’m free, right? Okay.

798 01:13:24.610 ⇒ 01:13:27.209 Ashwini Sharma: So, yeah, I mean, this time is good.

799 01:13:27.950 ⇒ 01:13:29.799 Uttam Kumaran: Okay. I mean, like…

800 01:13:29.800 ⇒ 01:13:33.810 Ashwini Sharma: Also, I’m free. So after this time, I’m generally free, free.

801 01:13:34.440 ⇒ 01:13:42.630 Uttam Kumaran: So maybe even, like, going forward, we should just do… maybe we’ll do… spend… start the first part of the meeting in a breakout room, like, maybe me, you, Awash.

802 01:13:42.790 ⇒ 01:13:46.560 Uttam Kumaran: We just do a breakout room at the start,

803 01:13:47.000 ⇒ 01:13:52.360 Uttam Kumaran: And then let’s just plan on that. That way we’re not always rushing your side of the stuff, so…

804 01:13:52.870 ⇒ 01:13:53.500 Ashwini Sharma: Sure.

805 01:13:54.080 ⇒ 01:13:54.600 Uttam Kumaran: Okay.

806 01:13:55.500 ⇒ 01:14:01.499 Uttam Kumaran: Okay, cool. Well, if you guys are gonna stay on, feel free. I’m probably gonna drop and get some stuff done, so…

807 01:14:03.800 ⇒ 01:14:07.089 Uttam Kumaran: Are you guys planning on staying on?

808 01:14:07.970 ⇒ 01:14:09.320 Awaish Kumar: Nope.

809 01:14:09.980 ⇒ 01:14:10.730 Uttam Kumaran: Okay, bye-bye.

810 01:14:12.430 ⇒ 01:14:13.950 Uttam Kumaran: Okay, alright.

811 01:14:14.050 ⇒ 01:14:20.719 Uttam Kumaran: Thanks, guys. Yeah, feel free to ping, ping Golub again if you need to push him on UpFluence and other stuff, so…

812 01:14:23.460 ⇒ 01:14:24.640 Uttam Kumaran: Purple atomic.

813 01:14:28.840 ⇒ 01:14:30.169 Henry Zhao: How do you pronounce his name?

814 01:14:30.620 ⇒ 01:14:31.540 Uttam Kumaran: Gob?

815 01:14:32.010 ⇒ 01:14:32.690 Henry Zhao: Okay.

816 01:14:33.600 ⇒ 01:14:35.909 Uttam Kumaran: It used to say Galib, but it’s Golib.

817 01:14:36.440 ⇒ 01:14:37.300 Henry Zhao: Okay, yeah.

818 01:14:37.650 ⇒ 01:14:41.520 Henry Zhao: That was, like, Khalib, like… Welcome Arabic.

819 01:14:43.100 ⇒ 01:14:43.990 Henry Zhao: Alright, thank you guys.

820 01:14:43.990 ⇒ 01:14:44.660 Uttam Kumaran: Alright.

821 01:14:44.770 ⇒ 01:14:46.700 Uttam Kumaran: Thanks, talk soon. Bye.