Meeting Title: Bask Data Integration and Tracking Sync Date: 2025-07-16 Meeting participants: Henry Zhao, Robert Tseng


WEBVTT

1 00:01:59.300 00:02:00.280 Robert Tseng: Hey, Henry.

2 00:02:02.790 00:02:04.679 Henry Zhao: Hey, Robert, how’s it going.

3 00:02:06.235 00:02:13.135 Robert Tseng: It’s it’s gone. I’m feel like sorry that I feel like that. Stand up was not great. I feel like

4 00:02:13.710 00:02:24.650 Robert Tseng: I just like I switch off for a couple of days because I’m not around and like I mean, maybe you observe it, and as you do with the team, but like I feel like I have to spoon, feed them like

5 00:02:25.390 00:02:32.989 Robert Tseng: what the deliverable has to be and like I have to craft the message like sometimes I just don’t understand, like why people think that that’s okay.

6 00:02:33.565 00:02:33.970 Robert Tseng: But.

7 00:02:33.970 00:02:52.940 Henry Zhao: I went. Okay. I watched the recording of Mondays, which went really well. I thought it was good that amber charge and just have all of this stuff. And it was actually really good for me to get context into the linear tickets that I have available. As well as understanding what the timelines are. I think that was the 1st thing I wanted to to clear up with you. So now that’s clear already. I’m glad I watched that.

8 00:02:55.070 00:03:01.260 Henry Zhao: But yeah, we can work on keeping people accountable. But it didn’t go to, in my opinion, didn’t go too terribly.

9 00:03:01.800 00:03:09.689 Robert Tseng: Yeah, I I mean, I don’t know what your experience is with working with engineers. But like.

10 00:03:10.140 00:03:12.460 Robert Tseng: when you ask questions, people just like

11 00:03:12.680 00:03:15.879 Robert Tseng: they just list out a bunch of stuff, and it’s like.

12 00:03:16.180 00:03:30.889 Robert Tseng: it’s not that it’s like you don’t have to use all this technical jargon with me like, I understand that we’re the same things that we’re blocked by and like, I just, it’s like people think if they just like talk more, it just means that they don’t like. Convince me that we’re more stuck like, I don’t really understand. So

13 00:03:32.250 00:03:32.910 Robert Tseng: yeah.

14 00:03:33.260 00:03:39.888 Robert Tseng: But anyway, sorry not to derail and be, too. I’m not trying. Yeah, not to be negative about it.

15 00:03:40.220 00:03:46.489 Henry Zhao: No, not at all right now. I’m just waiting on a wish to try and implement that bask web hook on for

16 00:03:46.600 00:03:47.710 Henry Zhao: for rudder stack.

17 00:03:48.250 00:03:48.800 Robert Tseng: Okay.

18 00:03:48.810 00:04:02.350 Henry Zhao: Time I created a test test repository in bigquery to see if I can send data there. And I’d love to just talk to you about what you want to do with metadata in terms of sending it directly to the bigquery, or whatever it is you wanted to do.

19 00:04:02.490 00:04:12.779 Henry Zhao: And then I just also wanted to get another clarification on what you said on Monday, which was top of mind for you. I just wanted to get some clarification on what you were finalizing the enriched data model

20 00:04:13.268 00:04:24.089 Henry Zhao: then the Poc. I’m working on and then server side tagging or tracking of order. Completion tested in Meta. Are we working together on that? And is that still due next Friday?

21 00:04:24.330 00:04:25.270 Henry Zhao: Because I’d like to.

22 00:04:25.270 00:04:33.048 Robert Tseng: So I’ll go backwards. The 3rd one the server side tag and track. I I kind of spun that up. I tested it yesterday.

23 00:04:33.590 00:04:48.580 Robert Tseng: yeah, I’m like, I ran into like a a limit in segment. I didn’t realize that, like we have like a 25 custom functions limit or whatever. So I’m blocked there. But I think once that’s unblocked, I can deploy that. So that’s just like

24 00:04:49.238 00:05:11.730 Robert Tseng: we’re using segment to fire. You know, bask order completed events into like Meta’s conversion, like the Cappy pixel, whatever that’s supposed to. That’s gonna replace what we currently do with the Meta Pixel. That’s using events tracked through Google Tag, manager.

25 00:05:12.080 00:05:17.179 Henry Zhao: Do you think Meta’s Pixel also is biased like Google analytics is.

26 00:05:17.180 00:05:20.410 Robert Tseng: It is. Yeah. Yeah.

27 00:05:21.570 00:05:40.409 Robert Tseng: yeah, I think mid you. I guess you briefly met Mattesh on that call. He’s a Cmo he basically was flagging like he thinks that Meta is like, Oh, which I think he’s right like they’re they’ve been over count over counting like by almost 2 like 2 x like what the actual conversions are. Yeah.

28 00:05:41.550 00:05:45.440 Henry Zhao: Yeah, when I worked in Meta, nobody said that, because obviously, I think they’re not gonna tell.

29 00:05:45.770 00:05:49.110 Henry Zhao: because Southern employee there, right? I work on the ads team.

30 00:05:50.100 00:05:50.600 Robert Tseng: Oh, you did!

31 00:05:51.170 00:05:52.120 Henry Zhao: Yeah, yeah.

32 00:05:52.400 00:05:57.580 Henry Zhao: So I didn’t hear anything about that. But I’m sure. I wouldn’t be surprised if there’s like a secret

33 00:05:57.830 00:05:59.510 Henry Zhao: team that knows about that, you know.

34 00:05:59.940 00:06:01.860 Robert Tseng: Oh, I see!

35 00:06:02.410 00:06:03.360 Henry Zhao: Yeah.

36 00:06:03.820 00:06:05.820 Robert Tseng: So, anyway, I think that’s that’s not my first.st

37 00:06:05.820 00:06:11.290 Henry Zhao: Point of server side was to not have any like over counting cause. It’s kind of like under our control.

38 00:06:11.960 00:06:13.059 Robert Tseng: Yeah, that’s the point.

39 00:06:15.690 00:06:25.689 Henry Zhao: so we shouldn’t too much over counting once we implement this server side tagging right or, your point is there compare the counts that you see from Meta versus what you see from bask, and just to see

40 00:06:25.810 00:06:28.550 Henry Zhao: if those numbers are like the same, or if Meta’s a lot higher.

41 00:06:29.080 00:06:30.270 Robert Tseng: Is that is that the end goal?

42 00:06:31.490 00:06:33.710 Robert Tseng: Yeah. So I guess.

43 00:06:35.180 00:06:36.529 Robert Tseng: Yeah, the end goal

44 00:06:36.750 00:06:43.036 Robert Tseng: I can send you, which I I don’t have these numbers yet. But I’m trying to have the team flush it out. So,

45 00:06:44.830 00:06:49.429 Robert Tseng: yeah, like, the Meta conversion window is like a 7 day window. And

46 00:06:50.030 00:07:07.020 Robert Tseng: with Google tag manager, we understand that. Yeah, by comparing what we’re seeing in Meta versus what we’re seeing in bask, which is kind of like the true like conversion, like source of truth. There’s like a, you know, 200 difference there. And so we’re trying to. Basically.

47 00:07:08.410 00:07:19.040 Robert Tseng: I’m trying to with with that exercise. I’m going back to Mattesh and being like, okay, yeah, we can. We can send the server side. It’s not gonna get us a hundred percent

48 00:07:19.500 00:07:20.555 Robert Tseng: to

49 00:07:21.750 00:07:43.810 Robert Tseng: like, we’re not going to have parity with what’s in bask, because the web hooks that we get from bask. There’s like a bigger window. It’s like a 10 to 14 day window. So about like, somewhere between 10 to 20%, I’m having Dave and Lotti pull the number of like the conversion events will fall outside of the medics conversion window. And so I think that’s as close as we’ll get.

50 00:07:44.470 00:07:51.119 Robert Tseng: Maybe 80% is better than you know, 200 like, you know, 20% difference is better than you know, 200% difference. So.

51 00:07:51.140 00:07:59.470 Henry Zhao: Yeah, yeah, makes sense. And that’s something I was I was aware of as as well. This, this is fun, though today my Facebook account got permanently disabled when I was trying to

52 00:08:00.195 00:08:04.214 Henry Zhao: except the ads. And so I’ll figure I’ll figure this out. But

53 00:08:04.620 00:08:12.200 Robert Tseng: Oh, mine was also disabled, and I got it back. So yeah.

54 00:08:12.500 00:08:14.170 Robert Tseng: I was dealing with that last week.

55 00:08:14.460 00:08:23.239 Henry Zhao: Also, I don’t know what happened. What’s happening, but everything I’m trying to log into is like asking for 2 fact and captures. My VPN is not on, so I don’t. I don’t know what’s going on.

56 00:08:24.740 00:08:25.380 Robert Tseng: Huh!

57 00:08:26.760 00:08:31.950 Henry Zhao: But alright. So I think we have. Oh, my, gosh, okay.

58 00:08:32.720 00:08:34.479 Henry Zhao: this is the stuff that’s gonna drive me crazy.

59 00:08:35.850 00:08:38.789 Henry Zhao: I’ve entered so many, 2 facts today that I’m going crazy.

60 00:08:39.010 00:08:39.590 Robert Tseng: Ugh!

61 00:08:40.570 00:08:44.190 Robert Tseng: Yeah, I mean, I’m I’ll try to get you your own logins on stuff.

62 00:08:44.466 00:08:50.279 Henry Zhao: That’s not what it is. It’s the computer like. And then everything times out. And then I have to re-log in.

63 00:08:50.280 00:08:58.809 Robert Tseng: Segment times out pretty quick. I know that for sure. I always have to every every like 20 min, like anything I’m doing in there I have to save immediately.

64 00:08:58.810 00:09:00.738 Henry Zhao: No, everything is timing out. So

65 00:09:01.524 00:09:11.459 Henry Zhao: so I’m good with your estimate of 15 million and 30 mil 20 million pricing for segment. I was gonna ask the same for for Runner Stack.

66 00:09:11.740 00:09:12.070 Robert Tseng: Okay.

67 00:09:12.390 00:09:17.169 Henry Zhao: On on Api calls. Yeah, I don’t know in May, but like it looks like we’re trending

68 00:09:18.110 00:09:20.029 Henry Zhao: what April, June, and July were.

69 00:09:20.900 00:09:26.399 Robert Tseng: Yeah, I cut out a bunch of stuff from March like I. I reduced that from March to April so and didn’t have any.

70 00:09:26.400 00:09:29.030 Henry Zhao: You cut out exactly in objects from March to April.

71 00:09:29.684 00:09:38.829 Robert Tseng: Well, we switched off. We switched off a few things. We switched off hubspot. So that’s like that was a big one, and then, there were all these like

72 00:09:39.330 00:09:43.080 Robert Tseng: events that we were not using.

73 00:09:43.610 00:09:48.029 Robert Tseng: It’s like scroll events, pretty much like we’re over tracking stuff.

74 00:09:48.240 00:09:53.960 Henry Zhao: I’ve never used. I’ve never done analysis on scroll events or video like events. So those like

75 00:09:54.250 00:09:56.659 Henry Zhao: we always track. But then I’m like, why are we tracking it.

76 00:09:56.660 00:09:59.480 Robert Tseng: Yeah, exactly. So I switched all that off. Yeah.

77 00:09:59.490 00:10:00.360 Henry Zhao: Okay.

78 00:10:00.880 00:10:09.420 Henry Zhao: so I’ll I’ll give that number to Rutter stack as well and ask about the 25 limit. I I don’t think they have that, but it’s good double checking.

79 00:10:10.530 00:10:22.719 Henry Zhao: So then let’s just go through, I think, what you’re expecting in terms of deliverables for each of these. So for do you want like a formal document that has, like the checklist, and things like that, or just something very informal, like bullet points, is fine.

80 00:10:23.010 00:10:33.780 Robert Tseng: Yeah, I think informal is fine. I mean, I think the the notion, Doc, that I’ve sent you is kind of like what I use that I maintain you can feel free to can like. Add to that, or, if not like, you can do whatever you feel like is

81 00:10:34.030 00:10:35.259 Robert Tseng: easier for you.

82 00:10:36.580 00:10:37.410 Henry Zhao: Okay.

83 00:10:37.770 00:10:43.249 Henry Zhao: I’ll figure out where that one is. Yeah. And the last was, if you can just remind me what the finalizing, the enriched data model was.

84 00:10:43.250 00:10:50.509 Robert Tseng: Yeah. So I don’t know if when you met with a wish, if he showed you kind of what the current model is, but we’ve.

85 00:10:51.340 00:10:53.830 Henry Zhao: Enriched profiles. Okay.

86 00:10:54.280 00:10:56.219 Robert Tseng: Yeah. So there’s.

87 00:10:56.880 00:11:06.060 Robert Tseng: I think we just need to finalize like what what that is, and then and be able to push something new into into customer. I/O, right so.

88 00:11:07.020 00:11:13.150 Henry Zhao: Okay, so the point of that is to be, push it into customer. I/O. So they have more signals and and flags to go off of to do their marketing.

89 00:11:13.150 00:11:13.700 Robert Tseng: Yeah.

90 00:11:13.970 00:11:19.840 Henry Zhao: Okay, got it? And then what did you want me to do in terms of looking at the definition of churn because

91 00:11:19.970 00:11:33.090 Henry Zhao: the churn definition makes sense to me, if if you I would. That’s how I would have defined it. But is there anything you want me to look into in the data that suggests that maybe that definition is not ideal. Or there’s something that you guys want me to investigate in terms of churn.

92 00:11:33.570 00:11:54.810 Robert Tseng: No, I mean, I think it’s just that no one really has like a clear understanding of what it was. So I think it was just any any like customer status, like or lifetime, like status like definition was just kind of improvised on the fly from the lifecycle team. I’m sure it’s not like too far off or whatever. But yeah, as we’re kind of like.

93 00:11:55.410 00:12:13.520 Robert Tseng: you know. Eventually, you know, even in that customer data model, like, if we just have a field that’s just like customer status. And it’s like active, dormant, churned, or whatever like we yeah like, we’re we’re gonna have to, you know. Mean, we have to own that definition now, moving forward so that we can. You know that that you know, that’s a field that’s gonna

94 00:12:13.930 00:12:17.067 Robert Tseng: dynamically change based on customer behavior.

95 00:12:17.590 00:12:29.490 Henry Zhao: I think, yeah, I think we keep it for now and then, I think after we do the like tracking drift and the cleanup of the data. I think I might see things that more. Tell me, like, maybe we need to adjust this on the customer status.

96 00:12:29.490 00:12:29.810 Robert Tseng: Sure.

97 00:12:29.950 00:12:47.440 Henry Zhao: Or or might see certain pockets of customers behaving a certain way, and say we need a new status, or need to find tweak something there. But I think, for now keep the definition that they have kind of like as a baseline. So I can see what that data looks like now and then compare it to. When I understand the data better, then maybe we want to redefine those those statuses. But I think, for now we keep it, the the way it is.

98 00:12:47.860 00:13:12.699 Robert Tseng: Cool. Yeah. And then with the customer I/O meeting I threw you into later today I’ll be there to meeting with Bobby. I mean it. Just assume like he’s wrapping up by Friday, so there will be no customer. I/O Guy, after that. So any residual questions we have about it and you keep in mind that, like, you know, our end state is to be able to push some of this data into customer. IOI wanna like Trim the fat there, too. There’s like a lot of

99 00:13:13.060 00:13:22.270 Robert Tseng: it’s probably over over leveraged as a Cdp. And that’s why, like, you know, we’re trying to do some consolidation. So anything that we ask him about like

100 00:13:22.530 00:13:24.530 Robert Tseng: I mean, they have their own

101 00:13:25.110 00:13:33.169 Robert Tseng: like he has his own. I think I I might have like dropped a few things in the notion, Doc, but basically customer I/O. Has.

102 00:13:33.380 00:13:53.879 Robert Tseng: He has his own customer data model that he’s maintaining in there, or I don’t think he’s maintaining. It’s just like a list of like 450 traits. We are basically trying to move away from that, and just go straight from from bigquery. So just trying to like level set on like anything else he has in there that we don’t already have and then I think

103 00:13:54.410 00:14:03.609 Robert Tseng: that will help us to, you know. Get to the decision where we can switch what he has built off and and switch over to our model. Yeah.

104 00:14:04.250 00:14:07.973 Henry Zhao: I I think as long as we have the access to customize, we can figure everything else out.

105 00:14:08.280 00:14:11.430 Henry Zhao: we can ask them the questions we need today. But yeah.

106 00:14:11.760 00:14:13.040 Henry Zhao: hopefully, we can figure this out.

107 00:14:13.900 00:14:19.170 Robert Tseng: Yeah. So I’m curious about, I want his perspective on that. Also want his perspective on any like other.

108 00:14:19.520 00:14:26.460 Robert Tseng: I mean, he might have some other legacy stuff that like things that he feels like it’s been broken that we’re trying to get get off of.

109 00:14:26.930 00:14:31.659 Henry Zhao: Like a list. Yeah, and I guess it’s a product question. So

110 00:14:31.900 00:14:37.079 Henry Zhao: and even you can get a prescription, you can also get a subscription like Monthly. Send me this medicine, and you also get.

111 00:14:37.080 00:14:43.940 Robert Tseng: Subscription, I believe, is switched off. Yeah. So then, old treatments. Now, yeah.

112 00:14:43.940 00:14:51.240 Henry Zhao: It was like, I need a 12 month course of blah blah that counts under treatment. And then there’s no treatment created. There’s just treatment updated right.

113 00:14:51.740 00:14:52.400 Robert Tseng: Correct.

114 00:14:52.930 00:14:55.860 Henry Zhao: Okay. So any like new thing would just also count as treatment updated.

115 00:14:56.030 00:14:56.670 Robert Tseng: Correct.

116 00:14:57.100 00:14:58.799 Robert Tseng: Yeah, which is why

117 00:14:59.020 00:15:11.479 Robert Tseng: I wanted us to build like a treatment summary model. Because we have, like an order, you know, an order, summary model, which basically has every like kind of state change with an order. But we don’t have it from like the patient perspective of like.

118 00:15:11.480 00:15:11.950 Henry Zhao: Man.

119 00:15:11.950 00:15:27.770 Robert Tseng: They place the order they get approved for the whatever rx, and then they end up and and then like going through the treatment steps. So that doesn’t exist yet. And yeah, like, you’re looking at the rob like, kind of web hook right now. So like, that’s yeah. That’s all we can really look at right now.

120 00:15:28.340 00:15:32.160 Henry Zhao: Okay, when you run queries in bigquery, do you typically use the materialized tables or the views.

121 00:15:33.556 00:15:36.889 Robert Tseng: I use the materialized tables.

122 00:15:36.890 00:15:43.529 Henry Zhao: Okay, alright so. And to anticipate you getting stuck at alright. So customer I/O, we’re gonna talk about that today

123 00:15:43.640 00:15:47.170 Henry Zhao: getting a number from segment rudder stack. I think we unblocks that

124 00:15:47.556 00:15:55.249 Henry Zhao: and then tagging tracking across blah blah blah. So we’ve started, Meta, when do you want to get started on Google, Pinterest and Reddit. If they’re rushing us for it.

125 00:15:55.560 00:16:13.580 Robert Tseng: Yeah. So basically, I want Meta to go out today. And then I mean, I would still prefer to defer those things until later, so that we can really just focus on the Cdp work. But I would assume, maybe we do Google Google next. And that will probably be by by next week.

126 00:16:14.120 00:16:29.759 Henry Zhao: I feel like we can do at least Google like simultaneously, because some of this the Cdp work is, I’m waiting on better stack or segment to answer, or a wish. Tell me with the mask, so we might wanna you might want me in the meantime to just simultaneously do this. I’m perfectly capable of multitasking. Yeah.

127 00:16:30.260 00:16:34.580 Robert Tseng: Alright, then, yeah. Well, maybe I’ll have you do the Google one? Yeah.

128 00:16:35.420 00:16:39.490 Henry Zhao: If you want to, maybe create a ticket, just let me know, like what are what the steps or

129 00:16:39.600 00:16:52.960 Henry Zhao: you want on this actually creating the events, or it’s going off that spreadsheet that I I checked this one yesterday was pretty nice. This says Old. I don’t know if there’s a new one. But I really liked this. No, it’s not this one.

130 00:16:53.390 00:16:57.440 Henry Zhao: Which one was it? There’s this one.

131 00:16:59.580 00:17:06.985 Henry Zhao: So I like this. I don’t know if this is like the the telemetry that you guys already have, or this is just like a base like example.

132 00:17:08.200 00:17:16.069 Robert Tseng: Yeah, this is what I I had updated this, I wanted this to be like what we’ve up where we didn’t actually implement this. But yeah, this was what I had put together for.

133 00:17:16.079 00:17:18.729 Henry Zhao: But these are the events you would want eventually to put into Google.

134 00:17:19.310 00:17:19.930 Robert Tseng: Yeah.

135 00:17:20.440 00:17:21.050 Henry Zhao: Okay.

136 00:17:21.609 00:17:26.108 Robert Tseng: Anything else, or just just these, or like, am I supposed to think of more stuff?

137 00:17:26.540 00:17:31.539 Henry Zhao: Properties like, are these 2 just belonging to get started? Or is it like these 3 belong to this whole section.

138 00:17:31.850 00:17:33.749 Robert Tseng: Those 2 belong to get started. Yeah.

139 00:17:34.219 00:17:40.919 Robert Tseng: Yeah. I mean, for the most part, like, yeah, the products. It’s really just the cart flow right like, I think.

140 00:17:41.280 00:18:00.709 Robert Tseng: as far as like creating accounts and like doing like portal. A customer portal stuff like that hasn’t really been like a priority. So that’s why we didn’t end up updating the telemetry with this tracking plan. Everything we have we need around order, stat like order or transactional like events is already there. So

141 00:18:01.050 00:18:15.489 Robert Tseng: yeah, like, if you can, you know from customer I/O, you get anything from email opens to like click throughs or whatever. And then from vast, you get everything around the order and then intake data comes in through web web flow. So like, that’s pretty much what we’ve.

142 00:18:15.620 00:18:20.580 Robert Tseng: that’s all. That’s all we really needed so far. Yeah, I would.

143 00:18:21.010 00:18:27.480 Robert Tseng: anyway. Like, so I I think that was why there was, even though I put this together. We didn’t. We didn’t end up getting the green light to implement it. Yeah.

144 00:18:27.960 00:18:28.530 Henry Zhao: Yeah.

145 00:18:29.536 00:18:34.020 Henry Zhao: so is this something that I would probably need Sebastian’s help on, since right now he’s owning like Gtm.

146 00:18:35.930 00:18:37.140 Henry Zhao: Gatekeeper of Gtm.

147 00:18:38.430 00:18:43.419 Robert Tseng: Yeah. So if you’re trying to implement these, you’re saying.

148 00:18:44.030 00:18:47.589 Henry Zhao: Yeah, like, at least, I’d like to do one section together with Sebastian

149 00:18:48.306 00:18:54.950 Henry Zhao: just because for full transparency, like anytime, I’ve done this stuff in the past. I’ve worked with engineering or worked with somebody like to kind of just

150 00:18:55.200 00:19:00.210 Henry Zhao: babysit a little bit, and if I do it myself, I kind of want to just make sure I don’t mess anything up.

151 00:19:00.560 00:19:01.220 Robert Tseng: Yeah.

152 00:19:01.740 00:19:07.460 Robert Tseng: Well, I mean, I would say that like this implementing, this isn’t the highest priority, right? Like, I don’t think we need new events right now.

153 00:19:09.199 00:19:16.769 Robert Tseng: So I feel like with Sebastian. I think he showed, did you? He showed you the Gtm. Last time you talked to him.

154 00:19:16.770 00:19:20.630 Henry Zhao: He didn’t show me. He just told me like he gatekeeps it, and that’s kind of been the process.

155 00:19:20.900 00:19:27.090 Robert Tseng: Okay, well, I mean, from the other side, they’re trying to like, get him out of that role. So they’re

156 00:19:27.270 00:19:30.380 Robert Tseng: yeah. I mean, in an ideal world. Basically, I

157 00:19:31.560 00:19:46.030 Robert Tseng: would take that scope from him like it would go to you and then, like, you know, we’d be able to bump, bump you up like Budget wise. So like, that’s that’s what I that’s what I want. If you don’t feel comfortable with taking that on as being the sole owner, which is like it’s fine, I think.

158 00:19:46.365 00:19:55.770 Henry Zhao: Have some hand holding meaning where, like he goes in. The Gtm. Just shows me how he implemented the stuff he’s already implemented. Go off of yeah.

159 00:19:55.770 00:19:59.820 Robert Tseng: Okay, yeah, that’s that’s totally valid. Yeah, let’s let’s leverage him for that. Then.

160 00:20:00.280 00:20:03.200 Henry Zhao: Like on my previous job. I had an engineer literally go through like the

161 00:20:03.668 00:20:09.840 Henry Zhao: the page inspection and show me like, this is where I implemented this tracking like this is where this is like how we

162 00:20:10.050 00:20:14.720 Henry Zhao: put things into the data layer that consistent with what we’ve been doing.

163 00:20:15.020 00:20:15.580 Robert Tseng: Okay.

164 00:20:16.275 00:20:16.960 Henry Zhao: Yeah.

165 00:20:18.490 00:20:30.769 Robert Tseng: Okay, then that’s on me to think about like, what’s that? One thing we could tell him to like that you want that that’s help most useful for us to add, and then have him walk you through. How he does it? And then you can just take it over from there. Okay.

166 00:20:30.770 00:20:31.590 Henry Zhao: Okay?

167 00:20:31.850 00:20:43.489 Henry Zhao: And then, lastly, talking about segment end of life. How should we ask? Go about asking like, if they can extend a few months of our contract, so that we have no disruptions in case Runner Stack gets delayed.

168 00:20:44.930 00:20:46.220 Robert Tseng: Oh, yeah, huh!

169 00:20:47.040 00:20:49.620 Henry Zhao: Because now it’s July 16.th So.

170 00:20:49.620 00:21:03.540 Robert Tseng: Do you think it’s possible that, like Rudder Stack will come back? They’ll give us a number segment, we’ll tell them, hey? We’ll we’ll go back to segment. Say, Hey, we’re switching over unless you can match this price. And if segment matches we’ll stay on segment like, that’s basically what I think. But.

171 00:21:03.750 00:21:12.640 Henry Zhao: Yeah, let’s talk about it again on Friday. I’m gonna rush back this week to at least give us the number, and if by Friday. They still don’t give you a number. Then let’s start talking about contingency plans.

172 00:21:12.910 00:21:13.500 Robert Tseng: Yeah.

173 00:21:14.820 00:21:15.640 Henry Zhao: Yeah.

174 00:21:17.940 00:21:22.300 Robert Tseng: I? Yeah, I mean, I hope they don’t just shut it off. That’d be kind of.

175 00:21:22.680 00:21:25.959 Henry Zhao: I think they don’t, I think at when we left segment

176 00:21:26.300 00:21:32.990 Henry Zhao: at 2 companies ago, they gave us like a few months to of what to like transition.

177 00:21:33.130 00:21:35.459 Henry Zhao: I could be wrong, but I think that that happened.

178 00:21:36.120 00:21:43.794 Robert Tseng: Well, I mean better. They’ve been paying them paying a lot, so they should at least do. They should at least do 60 days or something, you know. So

179 00:21:44.160 00:21:44.970 Robert Tseng: okay.

180 00:21:47.070 00:21:54.379 Henry Zhao: I still think worst case is, we just get another year at segment and then take our time with with Rotor stack. That’s just worst case scenario. Obviously, that’s not ideal, but.

181 00:21:54.380 00:21:54.970 Robert Tseng: Yeah.

182 00:21:55.180 00:21:55.840 Henry Zhao: Yeah.

183 00:21:56.540 00:21:57.420 Robert Tseng: That’s fair.

184 00:21:58.000 00:22:03.560 Robert Tseng: Okay? Good to know the different scenarios. Yeah, I would prefer that we could just do the

185 00:22:03.800 00:22:07.139 Robert Tseng: do a clean cut over before then. But but yeah.

186 00:22:09.340 00:22:20.899 Henry Zhao: Because also the the trade off right is like, what’s worse, paying an extra, however, many tens of K’s or losing a period of data and kind of flying blind right? During that timeframe.

187 00:22:20.900 00:22:21.500 Robert Tseng: Yeah.

188 00:22:22.210 00:22:33.989 Henry Zhao: Like when the pandemic started. I feel like every company was blind for a few months, not because of like loss of data, but just because data didn’t make sense at that time. Yeah, like, he was dropping in terms of customer counts like nothing made sense. So.

189 00:22:33.990 00:22:34.580 Robert Tseng: Yeah.

190 00:22:35.890 00:22:40.779 Robert Tseng: Well, I guess then my my question would be, okay. Well, let’s assume

191 00:22:41.160 00:22:46.809 Robert Tseng: like, what’s the premium we’re willing to pay for continuity, like, you know, like let’s say like

192 00:22:47.010 00:23:05.540 Robert Tseng: Yes, rudder stack is able to comes out at a lower price. But then, like the the effort level of effort to switch over is actually longer than we think. It’s not gonna all happen in this timeframe. We risk losing like a month of data like versus paying an extra 1520% more with segment to keep to stay there. Like I think

193 00:23:05.690 00:23:10.470 Robert Tseng: I’m not. I’m not really sure. Why, what? How we would make, how, how we would make that decision.

194 00:23:11.530 00:23:12.090 Henry Zhao: Yeah.

195 00:23:12.350 00:23:18.740 Henry Zhao: alright. So let me get those numbers a asap, because Rosac still hasn’t responded to me, and I’ll clarify on the customer at

196 00:23:19.507 00:23:22.460 Henry Zhao: sources limit, and then we’ll talk soon.

197 00:23:22.460 00:23:23.670 Robert Tseng: Okay. Sounds good.

198 00:23:23.780 00:23:24.729 Robert Tseng: Alright, thanks. Rob.

199 00:23:25.080 00:23:26.393 Robert Tseng: Thanks. Henry.