Meeting Title: Eden Weekly Kick-Off Date: 2025-08-18 Meeting participants: Fireflies.ai Notetaker Joshua, Demilade Agboola, Amber Lin, Robert Tseng, Andrew O’Neil, Cutter Streeby, Annie Yu, Awaish Kumar, Henry Zhao, Josh, Mitesh Patel
WEBVTT
1 00:04:52.430 ⇒ 00:04:53.789 Amber Lin: Honestly, that’s fine.
2 00:04:54.140 ⇒ 00:04:56.270 Amber Lin: Hello!
3 00:04:57.530 ⇒ 00:04:58.829 Demilade Agboola: Hello, how are you?
4 00:04:59.000 ⇒ 00:05:04.650 Amber Lin: Guys, I’m a little dead. Like, it’s alright.
5 00:05:05.930 ⇒ 00:05:07.030 Amber Lin: How are you?
6 00:05:08.430 ⇒ 00:05:11.009 Demilade Agboola: I am doing pretty okay, I can’t complain.
7 00:05:15.460 ⇒ 00:05:21.910 Amber Lin: I think others are joining. … Let’s check….
8 00:05:22.440 ⇒ 00:05:23.270 Robert Tseng: I’m here.
9 00:05:23.520 ⇒ 00:05:24.880 Amber Lin: Oh, hello!
10 00:05:25.460 ⇒ 00:05:27.340 Amber Lin: Great.
11 00:05:28.230 ⇒ 00:05:29.549 Amber Lin: Let’s skip.
12 00:05:29.710 ⇒ 00:05:32.739 Amber Lin: Started with the project priorities.
13 00:05:32.960 ⇒ 00:05:34.250 Amber Lin: Hi, Andrew.
14 00:05:35.740 ⇒ 00:05:36.560 Andrew O’Neil: Blue.
15 00:05:41.680 ⇒ 00:05:42.480 Amber Lin: Alright.
16 00:05:45.580 ⇒ 00:05:57.349 Amber Lin: … Sharing screen, going to projects first. … So, right here, we have…
17 00:05:57.930 ⇒ 00:06:04.499 Amber Lin: Tagging and tracking, then CDP, so on the top of the list, and then we have the…
18 00:06:04.650 ⇒ 00:06:13.310 Amber Lin: Dashboard for farm offsets for… Rebecca, but also mostly… also talking to Danny about that.
19 00:06:13.440 ⇒ 00:06:20.860 Amber Lin: Josh’s dashboard, which we completed the core priority ones. I think the next one is…
20 00:06:21.140 ⇒ 00:06:31.260 Amber Lin: fulfillment projections, which I don’t know if this would be top priority. I think it… it makes sense to have it at the bottom, the medium priority ones.
21 00:06:32.390 ⇒ 00:06:39.160 Amber Lin: Remo is a different client, so maybe we can remove that from here, or have it separately.
22 00:06:39.340 ⇒ 00:06:40.560 Amber Lin: …
23 00:06:41.030 ⇒ 00:06:50.360 Amber Lin: We have some stuff related to the affiliates and, which is correlated to ROAS that we’re doing for the marketing team.
24 00:06:50.490 ⇒ 00:06:53.750 Amber Lin: That’s what I currently see going on.
25 00:06:55.560 ⇒ 00:06:57.809 Amber Lin: I think the prioritization is still valid.
26 00:06:58.440 ⇒ 00:07:02.879 Robert Tseng: Yeah, I was just making a few adjustments. Yeah, I’m gonna pull… I’mma pull Remo out.
27 00:07:02.990 ⇒ 00:07:04.370 Amber Lin: ….
28 00:07:05.910 ⇒ 00:07:07.240 Robert Tseng: Oops, yeah.
29 00:07:08.850 ⇒ 00:07:09.940 Robert Tseng: Do you want a shirt?
30 00:07:09.940 ⇒ 00:07:11.310 Amber Lin: Robert, or is this good?
31 00:07:11.640 ⇒ 00:07:12.770 Robert Tseng: I…
32 00:07:13.030 ⇒ 00:07:21.220 Robert Tseng: I think you can keep sharing screen, like, my… my screen is, like, frozen or something. Okay. I was trying to pull Remo out, …
33 00:07:22.120 ⇒ 00:07:25.620 Robert Tseng: I can just… I can do in the background. Yeah, you can… you can…
34 00:07:26.520 ⇒ 00:07:34.780 Robert Tseng: Or… sorry, I’m like… I don’t know, the UI is still kind of weird to me. How do I even remove it? Goes back, and I’m gonna move it back to plan.
35 00:07:35.460 ⇒ 00:07:38.139 Robert Tseng: Yeah, Josh’s stuff, I’m moving to Medium.
36 00:07:38.640 ⇒ 00:07:39.380 Amber Lin: Okay.
37 00:07:39.380 ⇒ 00:07:41.749 Robert Tseng: Because the urgent stuff is already kind of finished.
38 00:07:41.960 ⇒ 00:07:50.479 Robert Tseng: Fp&a work, I feel like, will probably come back. I mean, is that… are we good there? Like, there were a few outstanding things. Can I just…
39 00:07:50.630 ⇒ 00:07:51.680 Robert Tseng: close that out.
40 00:07:56.300 ⇒ 00:07:57.980 Amber Lin: SP&A means for….
41 00:07:57.980 ⇒ 00:07:59.030 Robert Tseng: Sorry.
42 00:07:59.160 ⇒ 00:08:00.800 Robert Tseng: Strategic Finance Planning.
43 00:08:01.390 ⇒ 00:08:16.550 Amber Lin: I see. I’m gonna just hit move it to plan, because that’s not really… Yeah, I think we closed the main… we closed the main items, just a few modeling fixes that were supposed to be done last week. So once we close that out, that will be done. Okay.
44 00:08:17.460 ⇒ 00:08:17.800 Robert Tseng: Okay.
45 00:08:17.800 ⇒ 00:08:28.119 Amber Lin: Team, this is, this is our priority listing. And also, Hi Cutter. We’re doing the prioritization of projects first to know where we should focus on.
46 00:08:29.040 ⇒ 00:08:33.789 Cutter Streeby: Oh, if you guys have any questions, I can point you in the right direction, or I can answer them.
47 00:08:33.799 ⇒ 00:08:35.479 Amber Lin: Okay, that’ll be awesome.
48 00:08:36.009 ⇒ 00:08:36.749 Amber Lin: Alright.
49 00:08:37.289 ⇒ 00:08:44.139 Robert Tseng: Okay, I think this is… I think this is good. I flipped a couple things from high to medium. I think, like, the farm ops work is…
50 00:08:44.569 ⇒ 00:08:55.119 Robert Tseng: I mean, it’s just, like, making small adjustments to filters. We already did a lot of that work last week, so, really just want to stay focused on pushing out some of the marketing work.
51 00:08:55.320 ⇒ 00:08:55.910 Amber Lin: Okay.
52 00:08:56.300 ⇒ 00:08:56.990 Amber Lin: Great.
53 00:09:00.390 ⇒ 00:09:02.710 Amber Lin: Then, let’s start talking about…
54 00:09:02.830 ⇒ 00:09:15.620 Amber Lin: the marketing, tagging, and tracking work. I grouped this by project, and you can see it’s ordered by priorities. So, on the tagging and tracking side, what must get done this week?
55 00:09:18.210 ⇒ 00:09:25.610 Robert Tseng: … Yeah, so… I think on the North… North Beam stuff, …
56 00:09:28.090 ⇒ 00:09:31.329 Robert Tseng: Henry and Andrew are gonna meet on this later today, so….
57 00:09:31.540 ⇒ 00:09:32.200 Amber Lin: Okay.
58 00:09:32.930 ⇒ 00:09:34.540 Henry Zhao: So that needs to get done this week, for sure.
59 00:09:34.830 ⇒ 00:09:35.630 Amber Lin: Okay.
60 00:09:35.630 ⇒ 00:09:36.170 Robert Tseng: gap.
61 00:09:36.340 ⇒ 00:09:41.840 Henry Zhao: And then this 2Pixel IDs has already been added by Andrew, I’m just gonna check it, later, that the data’s flowing properly.
62 00:09:41.840 ⇒ 00:09:42.930 Robert Tseng: Okay, sweet.
63 00:09:43.320 ⇒ 00:09:48.539 Amber Lin: and true ending today.
64 00:09:49.260 ⇒ 00:09:50.190 Amber Lin: Right.
65 00:09:56.020 ⇒ 00:09:56.940 Amber Lin: Alright.
66 00:09:57.410 ⇒ 00:10:06.520 Amber Lin: There was also… there was a request… walk back from Brian, ….
67 00:10:06.520 ⇒ 00:10:18.349 Robert Tseng: I think this should be ad hoc. I don’t think this is actually part of the same scope. Okay. So, yeah, I spoke with Ryan and Mitesh earlier this morning. This is, like, this is gonna be… yeah, not related.
68 00:10:19.780 ⇒ 00:10:20.410 Amber Lin: Okay.
69 00:10:20.980 ⇒ 00:10:24.989 Amber Lin: Is that still medium priority? Is that… or is that low?
70 00:10:25.370 ⇒ 00:10:27.609 Robert Tseng: No, well, so…
71 00:10:31.220 ⇒ 00:10:34.399 Robert Tseng: I guess, like, the calculator stuff, …
72 00:10:36.340 ⇒ 00:10:40.070 Robert Tseng: Wait, when did you submit this? Like, last week? …
73 00:10:40.360 ⇒ 00:10:45.260 Robert Tseng: Yeah, like, oh, about 2 weeks ago? Yeah, we should still do it, but it’s more of an ad hoc thing.
74 00:10:45.260 ⇒ 00:10:47.979 Amber Lin: Okay. Yeah. Alright.
75 00:10:49.390 ⇒ 00:10:50.120 Amber Lin: Okay.
76 00:10:51.160 ⇒ 00:10:53.919 Amber Lin: On the CDP side, what needs to get done?
77 00:10:55.360 ⇒ 00:11:02.439 Robert Tseng: … I guess I’ll let Henry speak, too, for that, and then I can jump in.
78 00:11:03.710 ⇒ 00:11:10.519 Henry Zhao: Yeah, so I think we just need to fix the treatment check-in workflow, as we met with Bobby on last Friday.
79 00:11:10.520 ⇒ 00:11:16.439 Amber Lin: And also, make sure that the other attributes are in Customer I.O, so that they can trigger emails.
80 00:11:17.410 ⇒ 00:11:18.370 Cutter Streeby: So this is the one….
81 00:11:18.370 ⇒ 00:11:19.489 Henry Zhao: Those are the main things for this.
82 00:11:19.780 ⇒ 00:11:26.109 Cutter Streeby: This is the one that Josh is, like, adamant about, just because it has such a direct impact on
83 00:11:26.800 ⇒ 00:11:28.330 Cutter Streeby: Customer renewals.
84 00:11:28.870 ⇒ 00:11:29.960 Josh: That’s right!
85 00:11:30.800 ⇒ 00:11:32.609 Cutter Streeby: Oh, is he in here?
86 00:11:33.030 ⇒ 00:11:34.289 Henry Zhao: Yeah, Josh is in here.
87 00:11:34.290 ⇒ 00:11:43.689 Cutter Streeby: Oh, what up, bro? So this is the one that we’ve been talking about since last Monday in Slack, with, like, Bobby’s kind of duct-taped some CIO solutions together.
88 00:11:43.690 ⇒ 00:11:44.230 Henry Zhao: Yep.
89 00:11:44.390 ⇒ 00:11:50.390 Cutter Streeby: But if you guys can send in actual data to CIO, so we’re not dependent on CIO,
90 00:11:50.770 ⇒ 00:12:04.859 Cutter Streeby: that’s gonna make it scalable. So, like, currently, right now, the only people reliably receiving check-in notifications, meaning they completed their treatment, and they have no treatments left, is semaglutide. So we have
91 00:12:05.290 ⇒ 00:12:08.430 Cutter Streeby: 15 other products that are just kind of…
92 00:12:09.330 ⇒ 00:12:16.149 Cutter Streeby: They have no triggers, no reliable triggers to find out when their treatment… when their check-in is actually due.
93 00:12:17.270 ⇒ 00:12:22.040 Henry Zhao: Yeah, but just to clarify, we’re sending an event into Customer IO and still sending the emails through Customer I.O, right?
94 00:12:22.250 ⇒ 00:12:28.059 Cutter Streeby: Correct, but the data portion to send the triggers is the one that I’m keeping on.
95 00:12:28.310 ⇒ 00:12:30.389 Henry Zhao: That’s what I’m working on, hoping to deliver by Wednesday.
96 00:12:30.680 ⇒ 00:12:31.580 Cutter Streeby: Awesome.
97 00:12:35.780 ⇒ 00:12:37.070 Josh: Wednesday?
98 00:12:42.240 ⇒ 00:12:48.710 Robert Tseng: Yeah, but we didn’t really get what we needed from Bobby until Friday, so it’s gonna take us a couple days to finish it.
99 00:12:48.720 ⇒ 00:12:53.050 Henry Zhao: Yeah, I’m still asking some clarifying questions, so hopefully those are… Resolved now.
100 00:12:54.610 ⇒ 00:12:58.410 Henry Zhao: But yeah, Amber, that’s Eden731, the one that’s urgent, yeah.
101 00:13:03.970 ⇒ 00:13:07.990 Robert Tseng: Yeah, the Zendesk ticket thing is not as urgent, right? So, yeah, that’s….
102 00:13:07.990 ⇒ 00:13:20.929 Amber Lin: I have it on low priority for the end of this week, because he asked, I think, 3 weeks… 2… 2 weeks ago. We also have asked here if we can see… if we can, …
103 00:13:21.350 ⇒ 00:13:39.340 Amber Lin: pipe this to Northbeam. I know, Robert, you also sent a message to why don’t… why don’t we just use polyatomic? I know he… I think he said that it’s not possible to polyatomic, so I would like us to see what we can respond to him on. I wish I put you on this, if that’s okay.
104 00:13:39.590 ⇒ 00:13:45.490 Robert Tseng: Yeah, this is more of just giving him an answer. I think sometimes, like, I…
105 00:13:46.470 ⇒ 00:13:59.410 Robert Tseng: don’t want to set up too many custom connectors, if we can just use the tools that we already have. So, I know that it can’t be done from Segment, but I was thinking that we could do it from Polytomic, but maybe we… maybe we can’t.
106 00:14:01.810 ⇒ 00:14:03.620 Awaish Kumar: Yeah, I can spy on this.
107 00:14:03.970 ⇒ 00:14:05.530 Amber Lin: Okay. Awesome.
108 00:14:05.650 ⇒ 00:14:11.180 Amber Lin: … I heard also from Brian that…
109 00:14:11.450 ⇒ 00:14:15.470 Amber Lin: The meta purchase event wasn’t hiring… wasn’t firing?
110 00:14:17.150 ⇒ 00:14:17.810 Robert Tseng: What?
111 00:14:18.810 ⇒ 00:14:21.210 Robert Tseng: Sure, but, ….
112 00:14:21.210 ⇒ 00:14:22.560 Andrew O’Neil: To me, as well.
113 00:14:23.150 ⇒ 00:14:24.000 Amber Lin: Okay.
114 00:14:27.580 ⇒ 00:14:29.550 Robert Tseng: Yeah, I mean, we can just… Luckily.
115 00:14:29.550 ⇒ 00:14:49.000 Andrew O’Neil: We were talking about this over Slack as well. I think it might have been… I followed up in that thread. My theory right now is that in the workspace, he was looking at… the tag was paused, because we were doing some work last week, so I’m hoping that’s the case, because it’s set to fire on every purchase, so…
116 00:14:49.000 ⇒ 00:14:52.679 Andrew O’Neil: I don’t know, outside of that, what could be causing this.
117 00:14:52.960 ⇒ 00:14:59.360 Amber Lin: Okay, sounds good. Let’s give him a response, today or tomorrow.
118 00:14:59.720 ⇒ 00:15:00.180 Andrew O’Neil: Yep.
119 00:15:00.180 ⇒ 00:15:00.670 Amber Lin: And….
120 00:15:00.670 ⇒ 00:15:02.540 Andrew O’Neil: It’s in there. It’s in Slack.
121 00:15:02.540 ⇒ 00:15:12.710 Amber Lin: Okay, awesome. This is related to the next project, which is related to ROAS and the different affiliates.
122 00:15:13.420 ⇒ 00:15:14.600 Amber Lin: …
123 00:15:15.010 ⇒ 00:15:31.689 Amber Lin: we still need to connect Catalyst and Uploons to connect to their APIs, I think that’s pretty important. And then we also have a new request here to compare, refunds, cancellations, and retention rates of the offer, to the others.
124 00:15:31.850 ⇒ 00:15:34.390 Amber Lin: Who can I assign this one to?
125 00:15:35.580 ⇒ 00:15:41.410 Cutter Streeby: And, Robert, just background on this one. So, we have to… we have money we gotta spend.
126 00:15:41.540 ⇒ 00:15:44.710 Cutter Streeby: It’s… If the affiliate….
127 00:15:44.780 ⇒ 00:15:46.379 Amber Lin: It’s the offers….
128 00:15:46.380 ⇒ 00:15:54.249 Cutter Streeby: Customers have a, like, the same refund and cancellation rate as other customers that have come in from
129 00:15:54.380 ⇒ 00:15:59.469 Cutter Streeby: the other channels. We can spend more money with them easily, and it’s at a set cap.
130 00:15:59.670 ⇒ 00:16:06.110 Cutter Streeby: But what my suspicion is the offer has a higher refund rate than other channels.
131 00:16:06.260 ⇒ 00:16:14.579 Cutter Streeby: So I’m trying to figure out that statistical difference to say whether we spend a million dollars with them, or whether we spend no dollars with them.
132 00:16:15.980 ⇒ 00:16:21.359 Cutter Streeby: And it’s… they… 97% of their volume is semaglutide.
133 00:16:21.630 ⇒ 00:16:26.490 Cutter Streeby: So, I mean, if we look in the last 2 months, it…
134 00:16:26.730 ⇒ 00:16:33.580 Cutter Streeby: Everybody’s is gonna be high, because our cancellation rate went through the roof with the supply chain issues, but we’ve had… we’ve had them running for…
135 00:16:34.190 ⇒ 00:16:36.660 Cutter Streeby: 9 months now, so there should be a…
136 00:16:37.080 ⇒ 00:16:43.690 Cutter Streeby: significant sample size to compare against, say, Google or something as a channel where they were first acquired from.
137 00:16:45.000 ⇒ 00:16:45.680 Robert Tseng: Yeah.
138 00:16:45.930 ⇒ 00:16:52.599 Robert Tseng: I guess, Awish, I’ll let you decide, but I think either Annie or Vashta for this, because this is basically…
139 00:16:52.800 ⇒ 00:17:05.370 Robert Tseng: refunds, cancellation by… by channel, and we want to look at specifically the offer. It’s not going to turn into a visualization request for now, we just want to look… we just want to run… write the query for the offer specifically.
140 00:17:05.530 ⇒ 00:17:07.960 Robert Tseng: We need to compare…
141 00:17:08.119 ⇒ 00:17:14.799 Robert Tseng: like, our overall, like, what we’re seeing. Like, we benchmark the offer against, like, the other channels, so….
142 00:17:14.890 ⇒ 00:17:15.730 Awaish Kumar: ….
143 00:17:15.730 ⇒ 00:17:18.690 Robert Tseng: I, I, I think that’s… that’s what his fast and.
144 00:17:19.730 ⇒ 00:17:23.470 Awaish Kumar: We can assign Annie as much dev is out for two days.
145 00:17:23.470 ⇒ 00:17:24.020 Amber Lin: Okay.
146 00:17:24.020 ⇒ 00:17:24.599 Robert Tseng: Okay.
147 00:17:27.319 ⇒ 00:17:28.319 Amber Lin: Sounds good.
148 00:17:29.189 ⇒ 00:17:34.249 Amber Lin: Mmm… Cutter, when would you like, ….
149 00:17:34.250 ⇒ 00:17:37.799 Robert Tseng: Let’s do… let’s do that today. Like, that’s… that’s just, like, a blurry, so….
150 00:17:39.070 ⇒ 00:17:40.710 Amber Lin: Alright, let’s do that.
151 00:17:41.170 ⇒ 00:17:44.980 Amber Lin: And then… alright, going back here…
152 00:17:45.620 ⇒ 00:17:50.079 Amber Lin: Vajdev is out. Awish, could you connect the APIs?
153 00:17:50.080 ⇒ 00:17:54.160 Awaish Kumar: He’s out for… For 2 days, so if… if that’s…
154 00:17:54.310 ⇒ 00:17:57.780 Awaish Kumar: Arjun, like, needs to deliver today or tomorrow, then I can do it.
155 00:17:58.100 ⇒ 00:18:00.070 Awaish Kumar: We’ll come back one.
156 00:18:00.070 ⇒ 00:18:02.240 Amber Lin: Catalyst, we should do it today.
157 00:18:02.240 ⇒ 00:18:05.099 Mitesh Patel: Catalyst, yes, please, do that one today.
158 00:18:05.370 ⇒ 00:18:06.080 Awaish Kumar: Okay.
159 00:18:08.390 ⇒ 00:18:14.750 Amber Lin: … Save that, I’ll assign to… I wish.
160 00:18:15.020 ⇒ 00:18:23.309 Mitesh Patel: So Catalyst is a… what… sorry, can we go into that one? Is that a… that’s just getting the conversion data back to Catalyst, right?
161 00:18:26.590 ⇒ 00:18:30.790 Awaish Kumar: Yeah, just ask me more about getting data from Catalyst.
162 00:18:31.360 ⇒ 00:18:31.700 Amber Lin: Okay.
163 00:18:31.700 ⇒ 00:18:35.549 Mitesh Patel: Oh, this is for… Okay, so this is a sales info… alright.
164 00:18:35.680 ⇒ 00:18:40.679 Mitesh Patel: It’s getting the spend data back into… okay, this is more about getting spend data.
165 00:18:41.640 ⇒ 00:18:46.419 Awaish Kumar: But is that urgent? Because, when I logged into Catalyst, I don’t see anything yet.
166 00:18:46.660 ⇒ 00:18:52.500 Mitesh Patel: No, okay, so that’s not urgent. What I wanted to make sure is that we’re sending data to…
167 00:18:52.790 ⇒ 00:18:58.479 Mitesh Patel: catalyst, any conversion data, that is urgent. Getting spend data can wait 2 days.
168 00:18:58.480 ⇒ 00:19:05.709 Amber Lin: Okay, so that would be… Sending data to Catalyt.
169 00:19:05.920 ⇒ 00:19:11.719 Mitesh Patel: Yeah, conversion data, but whatever. I think… I don’t know, Andrew, did you work on that? Did we do that through GTM?
170 00:19:13.530 ⇒ 00:19:18.119 Andrew O’Neil: Yeah, we do have a connection built with GTM that was completed last week.
171 00:19:18.120 ⇒ 00:19:19.529 Mitesh Patel: Okay, so they might.
172 00:19:19.530 ⇒ 00:19:20.220 Andrew O’Neil: Yeah, go ahead.
173 00:19:20.220 ⇒ 00:19:22.379 Mitesh Patel: Sorry, Amber, that’s the one I was saying is urgent.
174 00:19:22.380 ⇒ 00:19:23.160 Amber Lin: Oh, that’s jaw.
175 00:19:23.160 ⇒ 00:19:25.420 Mitesh Patel: already, then….
176 00:19:25.420 ⇒ 00:19:28.929 Amber Lin: I’ve already created, I think, tags in Google Tab Manager.
177 00:19:28.930 ⇒ 00:19:34.009 Robert Tseng: Yeah, we have two pixel events for that already, so page views and purchases, that was, like, 5 days ago, so we should… I think that should be done.
178 00:19:34.280 ⇒ 00:19:39.790 Mitesh Patel: then it’s not urgent for today, then this is a sep… this is a different request than what I thought it was. Okay.
179 00:19:39.790 ⇒ 00:19:43.039 Amber Lin: Okay, awesome, so I’ll assign it back to Vaschev.
180 00:19:43.850 ⇒ 00:19:44.360 Robert Tseng: Yeah.
181 00:19:44.920 ⇒ 00:19:52.139 Amber Lin: Okay, great. … There were still outstanding dashboarding requests.
182 00:19:52.640 ⇒ 00:19:57.319 Amber Lin: To… related to affiliates, in these…
183 00:19:57.720 ⇒ 00:20:02.510 Amber Lin: channels. I think one is a bit older from Josh.
184 00:20:02.930 ⇒ 00:20:09.339 Amber Lin: To have the affiliate… the option to include or exclude affiliate emails and new sales.
185 00:20:09.560 ⇒ 00:20:12.810 Amber Lin: That was assigned to Demolade.
186 00:20:12.960 ⇒ 00:20:20.090 Amber Lin: I think that’s… Should be doable, unless we think otherwise, and then… this…
187 00:20:20.430 ⇒ 00:20:36.769 Amber Lin: it’s a part of the request from Attesh. We completed the other ones. I don’t think we have added the offline spend to the ad spend amount yet. Team, is this a possible request, given the amount of data we have for the different affiliate channels?
188 00:20:38.770 ⇒ 00:20:46.370 Demilade Agboola: So the delay with this has to do with, adding product information to the affiliate spend.
189 00:20:46.930 ⇒ 00:20:47.330 Demilade Agboola: ….
190 00:20:47.330 ⇒ 00:20:47.860 Awaish Kumar: Oh, excuse me.
191 00:20:47.860 ⇒ 00:20:57.710 Demilade Agboola: Because if we’re trying to aggregate the, affiliate spend… if we’re trying to aggregate the total spend, we need to be able to have it by product, and then be able to go
192 00:20:57.860 ⇒ 00:21:02.180 Demilade Agboola: This is the, you know, ad spend, this is the affiliate span.
193 00:21:03.110 ⇒ 00:21:16.080 Awaish Kumar: just… just a clarification, like, the data which is coming from the offer now has product information. If… by offline spend we mean only the offer data, then yeah, we can do that.
194 00:21:17.040 ⇒ 00:21:32.540 Mitesh Patel: No, offline spend is… are the, you know, what’s everything in the sheet right now? The offer, and I think that’s the, you know, the influencers, Vibe, mountain, and then we added a couple channels for offline, right? Commission Junction.
195 00:21:32.540 ⇒ 00:21:39.880 Amber Lin: Yeah. And then we’ll add catalysts. So these are all… we’ve been seeing them offline because we haven’t had an API connection, but….
196 00:21:39.880 ⇒ 00:21:48.270 Mitesh Patel: once we connect, you know, once we have this API connection, then the offline sheet
197 00:21:48.400 ⇒ 00:21:53.060 Mitesh Patel: shrinks, right? In terms of how many channels we’re handling through that.
198 00:21:53.820 ⇒ 00:21:59.400 Amber Lin: I hear you. So we just essentially want to add those sources, doesn’t matter if they’re from the offline sheet or from the….
199 00:21:59.400 ⇒ 00:21:59.970 Mitesh Patel: Yeah.
200 00:21:59.970 ⇒ 00:22:06.940 Awaish Kumar: Yeah, we do have just data from sources, but what is missing is that we don’t have product-level data
201 00:22:07.070 ⇒ 00:22:10.840 Awaish Kumar: information for each of these sources.
202 00:22:10.840 ⇒ 00:22:11.530 Robert Tseng: It’s everything.
203 00:22:11.530 ⇒ 00:22:17.899 Awaish Kumar: to offer. So we need to spike on how to add for other product information for other sources.
204 00:22:17.900 ⇒ 00:22:31.980 Amber Lin: Gotcha. I have those tickets, I’m gonna pull them in for the… once we have the API connection. I think this will… I’m gonna move to the next cycle, since we need to get it connected. And…
205 00:22:32.170 ⇒ 00:22:34.509 Amber Lin: Is it the same case for this?
206 00:22:34.660 ⇒ 00:22:36.389 Amber Lin: For Josh’s request.
207 00:22:36.540 ⇒ 00:22:37.540 Amber Lin: for….
208 00:22:38.160 ⇒ 00:22:40.100 Robert Tseng: Yeah, well, we’re gonna need the same thing.
209 00:22:40.100 ⇒ 00:22:52.889 Mitesh Patel: Okay. Well, affiliates, in Josh’s request, affiliates is primarily, and right now, only the offer. So if we can exclude offer and email, I think that’s what he’s saying. He wants a toggle where we can exclude those two.
210 00:22:53.180 ⇒ 00:22:53.870 Amber Lin: Okay.
211 00:22:55.330 ⇒ 00:22:57.209 Amber Lin: Alright, keep that here, then.
212 00:22:57.910 ⇒ 00:22:59.040 Amber Lin: …
213 00:23:05.160 ⇒ 00:23:06.790 Amber Lin: And pull in….
214 00:23:07.430 ⇒ 00:23:15.530 Mitesh Patel: And just a side comment, so everybody knows, going forward, most of our, other than the offer, most… almost all of our affiliate
215 00:23:15.930 ⇒ 00:23:27.759 Mitesh Patel: sales will be coming through Catalyst, right? So the spend, information and the product information will be through this Catalyst API that we said can be done, you know, in a couple of days.
216 00:23:29.410 ⇒ 00:23:31.619 Mitesh Patel: Or can be started in a couple of days.
217 00:23:41.200 ⇒ 00:23:46.260 Amber Lin: Gotcha. Then checking on that, do we still need to…
218 00:23:46.390 ⇒ 00:23:50.470 Amber Lin: Add product names from Vibe.
219 00:23:50.470 ⇒ 00:23:57.350 Mitesh Patel: from Vibe, let’s keep, let’s continue with Mountain, but we can take, … Vibe off of it.
220 00:23:57.350 ⇒ 00:24:01.520 Amber Lin: Okay, so I will… Yeah.
221 00:24:01.790 ⇒ 00:24:05.840 Amber Lin: Name is from… Mountaine.
222 00:24:06.470 ⇒ 00:24:07.690 Amber Lin: …
223 00:24:11.340 ⇒ 00:24:12.530 Amber Lin: Okay.
224 00:24:17.430 ⇒ 00:24:23.679 Amber Lin: And then, same for Catalyst, to find the product names, I’ll also put that into this cycle.
225 00:24:28.940 ⇒ 00:24:31.509 Amber Lin: Okay, on to the next.
226 00:24:36.270 ⇒ 00:24:37.770 Amber Lin: Alright.
227 00:24:38.180 ⇒ 00:24:40.929 Amber Lin: Remo, we’ll skip that.
228 00:24:41.190 ⇒ 00:24:49.309 Amber Lin: For finance side, we just need the models to be checked and done. I think mostly…
229 00:24:49.310 ⇒ 00:25:03.750 Amber Lin: dashboarding requests trickling from last… dashboarding request has been done, it’s just some modeling fixes that needs to be completed. I think Vasha had some questions he wanted to ask you, Awash, so I think when he comes back, if you can.
230 00:25:03.900 ⇒ 00:25:12.230 Robert Tseng: help him look… Can we just finish this one? Like, yeah, like, I don’t want the finance stuff to drag out until Wednesday.
231 00:25:12.810 ⇒ 00:25:13.570 Amber Lin: Okay.
232 00:25:13.790 ⇒ 00:25:14.680 Amber Lin: So….
233 00:25:14.680 ⇒ 00:25:18.250 Robert Tseng: Wish, if you need to work with me to finish it, like, whatever, we’ll finish it today.
234 00:25:18.480 ⇒ 00:25:19.180 Amber Lin: Okay.
235 00:25:19.660 ⇒ 00:25:20.630 Amber Lin: Okay.
236 00:25:21.670 ⇒ 00:25:27.329 Robert Tseng: Yeah, this… because I… it’s not even really part of this… this week. This is a carryover from last week.
237 00:25:27.890 ⇒ 00:25:28.850 Amber Lin: Yeah, okay.
238 00:25:29.050 ⇒ 00:25:29.630 Robert Tseng: Yeah.
239 00:25:29.630 ⇒ 00:25:30.250 Amber Lin: Alright.
240 00:25:30.590 ⇒ 00:25:31.930 Amber Lin: And then…
241 00:25:32.470 ⇒ 00:25:51.640 Amber Lin: Is Josh still here? Oh, Josh, hi. So, we have completed the P1 request for, the pharmacy SLA dashboard. Is the P1, so fulfillment forecasting, are those a top priority that you want us to get done this week?
242 00:25:51.640 ⇒ 00:25:57.639 Josh: No, I would say listen to the rest of the team. I think Danny’s dashboard is probably higher than this.
243 00:25:57.640 ⇒ 00:25:58.260 Amber Lin: Okay.
244 00:25:58.550 ⇒ 00:26:01.960 Josh: Like, the full life cycle of, like, product stuff.
245 00:26:02.970 ⇒ 00:26:16.489 Amber Lin: I hear you, okay. So there’s a few adjustments that he requested last Friday. I’ve made edits, I’ve created tickets for them already, and Annie knows as well. So that’s the…
246 00:26:16.930 ⇒ 00:26:19.069 Amber Lin: Next project right here.
247 00:26:20.150 ⇒ 00:26:30.710 Amber Lin: So, we’ve delivered, … Okay, the chart screenshots are not here. So we have… he wants also…
248 00:26:30.880 ⇒ 00:26:35.199 Amber Lin: Annie, I think you’ve already seen this ticket, so for each cohort.
249 00:26:36.340 ⇒ 00:26:39.919 Amber Lin: A chart that shows what’s at each stage.
250 00:26:40.650 ⇒ 00:26:45.730 Amber Lin: Can that be done… Today or tomorrow, how long would this take?
251 00:26:47.540 ⇒ 00:26:51.699 Annie Yu: Yeah, this can be done today, and I’ll lay out the limitations.
252 00:26:51.870 ⇒ 00:26:52.989 Amber Lin: Okay.
253 00:26:53.900 ⇒ 00:27:04.559 Amber Lin: I just saw that Rebecca also sent some requests. Part of it overlaps with this, part of it is…
254 00:27:05.140 ⇒ 00:27:11.500 Amber Lin: part of it is different. So the first one, I think we answered with that ticket. I’m trying to figure out…
255 00:27:13.000 ⇒ 00:27:22.510 Amber Lin: the… these two, because I know, run the report, she wants a… similar to export or buy order that composes it. I don’t know what this is.
256 00:27:23.830 ⇒ 00:27:31.489 Amber Lin: So, I’ll ask her what she means by that, but it’s related to the same request that Dani has.
257 00:27:32.630 ⇒ 00:27:33.380 Amber Lin: Okay.
258 00:27:36.320 ⇒ 00:27:39.699 Amber Lin: Remaining ad hoc ones…
259 00:27:41.410 ⇒ 00:27:47.039 Amber Lin: Well, I see that this one has been here for quite a while. Have we had any…
260 00:27:47.550 ⇒ 00:27:53.410 Amber Lin: Any progress on this? Why it’s been stuck? What direction we can go from here?
261 00:27:54.030 ⇒ 00:28:09.010 Demilade Agboola: So, the… for this, it’s part of… it’s in progress. I have done the NCAC version of it. I… I have a Notion doc to that effect. Let me share the ticket, or the doc.
262 00:28:09.050 ⇒ 00:28:15.350 Demilade Agboola: Well, effectively, that addresses part of this, and I will finish up the investigation.
263 00:28:15.550 ⇒ 00:28:23.749 Demilade Agboola: on this… … And that would address the order count part of this.
264 00:28:23.750 ⇒ 00:28:24.350 Amber Lin: Okay.
265 00:28:24.720 ⇒ 00:28:25.920 Amber Lin: Sounds good.
266 00:28:26.410 ⇒ 00:28:33.290 Amber Lin: And recurring… Yeah, I remembered this request, Mintosh, from our meeting.
267 00:28:33.700 ⇒ 00:28:38.060 Amber Lin: last Wednesday, I know that there was some…
268 00:28:40.020 ⇒ 00:28:48.840 Amber Lin: I think this is ready for investigation. I know Robert sent a question, and you already responded. Yeah. Any extra directions here, or are you good to go?
269 00:28:49.240 ⇒ 00:28:51.400 Mitesh Patel: No, this is good to go, I think. Yeah.
270 00:28:51.620 ⇒ 00:28:56.959 Amber Lin: Okay, Robert, do I… Does that mean it’s closed, or do I assign it to someone?
271 00:28:57.270 ⇒ 00:28:59.930 Robert Tseng: So, I mean, I know…
272 00:29:01.490 ⇒ 00:29:08.969 Robert Tseng: I… I… I didn’t, I didn’t end up handing it off. I, I wrote a doc for, like, what the, like, why I think our,
273 00:29:09.210 ⇒ 00:29:14.930 Robert Tseng: report is different from the query that I read. So you can leave it aside to me. I’m gonna send a follow-up message in this day.
274 00:29:19.130 ⇒ 00:29:19.940 Amber Lin: Gotcha.
275 00:29:20.170 ⇒ 00:29:30.060 Amber Lin: Alright… GHL sources, OH, that was last week. Did we get around to that?
276 00:29:40.840 ⇒ 00:29:41.940 Robert Tseng: Amazing.
277 00:29:43.020 ⇒ 00:29:44.669 Amber Lin: Awish, you’re muted.
278 00:29:48.330 ⇒ 00:29:49.540 Awaish Kumar: Yep, sorry.
279 00:29:50.050 ⇒ 00:29:50.920 Awaish Kumar: Come on.
280 00:29:52.250 ⇒ 00:29:58.560 Awaish Kumar: Yeah, like, I haven’t worked on it, so I can look at it by the end of week.
281 00:30:00.050 ⇒ 00:30:00.710 Awaish Kumar: True.
282 00:30:01.760 ⇒ 00:30:02.620 Amber Lin: End of…
283 00:30:03.040 ⇒ 00:30:10.590 Amber Lin: Is end of… is end of week too late? Do we… is this blocking anything? The GHL sources?
284 00:30:15.390 ⇒ 00:30:16.300 Amber Lin: ….
285 00:30:16.500 ⇒ 00:30:20.980 Robert Tseng: I think it’s fine. It’s not… it’s not one of the top… it’s not one of the most urgent things. Okay.
286 00:30:20.980 ⇒ 00:30:30.020 Josh: But every day that we can’t… we don’t have it, it’s slowing down patient outreach, so… I mean, if it’s something quick…
287 00:30:30.560 ⇒ 00:30:36.030 Josh: Cool. If it’s not something quick, let us know. Like, I don’t even know if this has been scoped yet.
288 00:30:36.030 ⇒ 00:30:40.240 Robert Tseng: Yeah, no, it is. It’s like 6 hours is what she’s sort of saying, but…
289 00:30:41.010 ⇒ 00:30:44.210 Robert Tseng: Is it really 6? I don’t know. It’s fine.
290 00:30:45.480 ⇒ 00:30:52.180 Amber Lin: It… it’s… it probably will be quicker if a wish does it, probably 6 hours if Ashrav does it. Awish is more safe.
291 00:30:53.230 ⇒ 00:30:54.089 Amber Lin: So… Okay.
292 00:30:54.330 ⇒ 00:30:58.750 Amber Lin: I’ll leave it as Friday. Okay.
293 00:30:59.170 ⇒ 00:30:59.610 Awaish Kumar: Yeah.
294 00:31:00.740 ⇒ 00:31:10.230 Amber Lin: Annie, I wish I booked a placeholder meeting to… Annie, with you to look at the tableau, and then I wish with you to update the architecture diagram.
295 00:31:11.980 ⇒ 00:31:19.830 Robert Tseng: Yeah, it’s okay, no, I’m not gonna end up finishing the deck today, Andrew. I’ll probably end up needing to push it in until tomorrow, so not super rushed on that.
296 00:31:20.070 ⇒ 00:31:27.300 Amber Lin: Yeah, alert… I want… I booked a meeting so that I can understand, mostly, because I can help
297 00:31:27.520 ⇒ 00:31:34.420 Amber Lin: I want to understand where the Tableau report and the architecture is at, so it’s for me as well.
298 00:31:34.760 ⇒ 00:31:54.449 Robert Tseng: Okay, yeah, I think what’s missing in the architecture diagram is just, like, how the… when we decide when to use Daxter to connect… to orchestrate some of these, like, other random marketing sources that are kind of coming in. So, obviously, we’re not running everything through our ETL tool, so I don’t fully understand when we’re choosing to use Daxter and when not to.
299 00:31:55.800 ⇒ 00:31:58.959 Awaish Kumar: Okay, yeah, the modeling part is updated, only the…
300 00:31:59.090 ⇒ 00:32:03.909 Awaish Kumar: ingestion part is a bit off, so we… I need to, like, upgrade that.
301 00:32:04.350 ⇒ 00:32:07.770 Robert Tseng: Okay. We brought in the polyatomic and the….
302 00:32:08.180 ⇒ 00:32:09.300 Awaish Kumar: Backstone.
303 00:32:12.960 ⇒ 00:32:15.040 Amber Lin: Sounds good.
304 00:32:15.490 ⇒ 00:32:21.200 Amber Lin: Wish, I know you created the COGS tickets with them a lot, I… I’m…
305 00:32:21.970 ⇒ 00:32:25.089 Amber Lin: big… I read the… I read the doc.
306 00:32:25.340 ⇒ 00:32:31.080 Amber Lin: And I’m looking at these two tickets, I’m… Confused.
307 00:32:31.660 ⇒ 00:32:35.040 Awaish Kumar: Yeah, like, we can sync, basically, separately on this.
308 00:32:35.040 ⇒ 00:32:35.720 Amber Lin: Okay.
309 00:32:36.310 ⇒ 00:32:40.919 Awaish Kumar: This is more like, … Organizing the Cox tickets.
310 00:32:41.460 ⇒ 00:32:48.690 Amber Lin: Okay, I see. Well, there’s a few dashboarding requests that needs the COGS,
311 00:32:49.340 ⇒ 00:32:54.070 Amber Lin: And… it just hasn’t… there just hasn’t been anything on the cogs.
312 00:32:54.490 ⇒ 00:32:58.889 Amber Lin: I… Yeah, I… I read the doc, I… I…
313 00:32:59.380 ⇒ 00:33:02.260 Amber Lin: Yeah, I’ll sync with you, because I don’t really understand what the….
314 00:33:03.060 ⇒ 00:33:09.800 Awaish Kumar: Yeah, like, what… what currently Demolade is doing is… is… It’s really… very manual.
315 00:33:09.800 ⇒ 00:33:11.290 Amber Lin: Time-taking.
316 00:33:11.290 ⇒ 00:33:17.790 Awaish Kumar: That’s all. I… Suggested… suggested some improvements, but in that,
317 00:33:18.050 ⇒ 00:33:26.709 Awaish Kumar: Yeah, with the help, like, the Demolaris feedback, we need some help from BAS to improve that. If we need it to be more automated.
318 00:33:26.820 ⇒ 00:33:31.159 Amber Lin: I see. But otherwise, with the current, the structure of data we have.
319 00:33:31.250 ⇒ 00:33:35.609 Awaish Kumar: It needs to be manual, and it is just very… Okay.
320 00:33:35.610 ⇒ 00:33:48.859 Robert Tseng: We just need to patch what we can for now, and I don’t think BAS is gonna really help us to do… we don’t need a… the automation is not that important, because the… this will not be a problem with the EMR system moving forward.
321 00:33:48.860 ⇒ 00:33:50.370 Amber Lin: I hear you. …
322 00:33:50.500 ⇒ 00:33:57.789 Amber Lin: Last thing before we end this meeting, how would I prioritize the COGS if we do? Is it….
323 00:33:57.790 ⇒ 00:33:58.930 Robert Tseng: Well, what is it blocking?
324 00:33:59.800 ⇒ 00:34:03.410 Amber Lin: Some dashboards would like to have cogs.
325 00:34:03.620 ⇒ 00:34:04.779 Amber Lin: So, I don’.
326 00:34:04.780 ⇒ 00:34:19.220 Robert Tseng: Well, everything that’s… that’s dependent on it is like, oh, we don’t have a good record of it pre-June or whatever, so… I don’t think we’re doing… the historical, like, COGS reconciliation stuff, the Boothlin thing is passed now, so there’s no one, like, really…
327 00:34:19.219 ⇒ 00:34:28.410 Robert Tseng: like, demanding it now. But yeah, I think we can… we can push it till next week, because end of month is when, like, the accounting finance stuff comes through, and…
328 00:34:28.409 ⇒ 00:34:38.969 Robert Tseng: I typically have to, like, send some projections, and with some of the… maybe, I mean, anticipating finance, will ask about maybe COGS-related things next week.
329 00:34:41.150 ⇒ 00:34:44.959 Robert Tseng: Okay. So hopefully that gives you guys some time to kind of get around to this.
330 00:34:44.960 ⇒ 00:34:52.549 Amber Lin: Alright, but I’ll sync this week, so that we’re prepared for next week. Alright, I think that’s… that’s all. …
331 00:34:54.130 ⇒ 00:34:54.870 Amber Lin: Moved.
332 00:34:55.080 ⇒ 00:35:03.180 Amber Lin: This is from… like, 2 weeks ago, I think? Vintas, do you still need the backfill orders?
333 00:35:05.870 ⇒ 00:35:10.229 Mitesh Patel: Well, this was a different way. It wasn’t really about backfill orders.
334 00:35:10.230 ⇒ 00:35:11.030 Robert Tseng: Yeah, yeah.
335 00:35:11.030 ⇒ 00:35:13.619 Mitesh Patel: Yeah, this was a different way to look at…
336 00:35:13.820 ⇒ 00:35:21.289 Mitesh Patel: sort of what happens to orders and, you know, capturing without… basically, it’s a different way to do a snapshot report.
337 00:35:21.360 ⇒ 00:35:35.619 Mitesh Patel: Right? But, you know, have the data in a way, and it seems like, Robert, what you said earlier, you know, you have the whole orders table anyway, right? So, orders data. So, it seems like you have that data already, it’s just, what do we use it for?
338 00:35:35.970 ⇒ 00:35:38.560 Mitesh Patel: And the insights we can get out of it, that’s all.
339 00:35:44.640 ⇒ 00:35:45.300 Amber Lin: Okay.
340 00:35:45.680 ⇒ 00:35:46.130 Amber Lin: ….
341 00:35:46.130 ⇒ 00:35:46.779 Robert Tseng: pick up.
342 00:35:46.780 ⇒ 00:35:47.480 Amber Lin: Alright.
343 00:35:48.980 ⇒ 00:36:06.720 Robert Tseng: I mean, like, the 30-second answer here, you can note this down, Amber, but, like… so, I mean, I already told Mitesh about how order summary works, like, we have this log of all historical data, all historical orders, and all the state changes across the orders. The way that our snapshots work right now is we’re just looking at
344 00:36:06.720 ⇒ 00:36:13.560 Robert Tseng: A single order status, or, like, a selected order status at a given point in time that day, and we’re freezing it.
345 00:36:13.560 ⇒ 00:36:21.290 Robert Tseng: But because we have, like, all the actual status changes for that order, we could… we could deal something that is more flexible with…
346 00:36:21.290 ⇒ 00:36:35.520 Robert Tseng: that allows you to filter, like, well, what was the status at this point in time versus another point in time, but that’s just not the way that we’ve set up the snapshot report for him. Yeah, so it’s nice to have functionality, it just…
347 00:36:35.800 ⇒ 00:36:43.259 Robert Tseng: they have not prioritized, because I feel like we did get to do what he wanted, even without adding that in, so….
348 00:36:43.260 ⇒ 00:36:43.890 Amber Lin: Okay.
349 00:36:43.890 ⇒ 00:36:55.109 Mitesh Patel: So, other than, and Robert, you know, kind of that bug that I showed you, like, if I was looking at data for August 1st through the 5th, and it changed the snapshot date.
350 00:36:55.110 ⇒ 00:37:06.620 Mitesh Patel: the as-of date, … you saw that data, changed, FUBAR, right? Yeah. And so as long as we resolve that, it doesn’t matter what approach we take.
351 00:37:07.190 ⇒ 00:37:08.040 Amber Lin: Okay.
352 00:37:08.040 ⇒ 00:37:27.040 Demilade Agboola: Yeah, so part of the resolution is what the documents I shared as to why the numbers are changing. Long story short, because the new customer accounts accommodates the pending orders, a large chunk of these pending orders, like a lot, the numbers depreciate because some of these pending orders cancel.
353 00:37:27.330 ⇒ 00:37:36.910 Demilade Agboola: And so, when the model reruns on a subsequent day, because they’re now seen as canceled orders, it doesn’t count them anymore as new customers.
354 00:37:36.910 ⇒ 00:37:42.479 Mitesh Patel: Well, that’s exactly what a snapshot report should avoid, Demolade. That’s why…
355 00:37:42.810 ⇒ 00:37:53.810 Mitesh Patel: Anyway, Robert, you and I have talked about this, I think we understand… Yeah. I think, and if it’s not, I can… I can clarify the request, or what the need is.
356 00:37:53.810 ⇒ 00:37:54.420 Amber Lin: Oof.
357 00:37:55.560 ⇒ 00:38:00.220 Robert Tseng: Yeah, no, I… yeah, we… it shouldn’t be excluded if it’s, in our snapshots.
358 00:38:01.560 ⇒ 00:38:06.019 Amber Lin: Robert, is it something we do this week, or are we pushing it to next week, or later?
359 00:38:06.680 ⇒ 00:38:11.909 Robert Tseng: Let’s just set an end of week, but it’s not, like, the first couple things we’re gonna do early this week.
360 00:38:12.400 ⇒ 00:38:13.490 Amber Lin: Awesome, okay.
361 00:38:13.490 ⇒ 00:38:14.120 Robert Tseng: Yeah.
362 00:38:14.120 ⇒ 00:38:16.320 Amber Lin: Alright, that’s all. Thanks, everyone.
363 00:38:16.570 ⇒ 00:38:18.359 Amber Lin: We went over a little bit.
364 00:38:18.540 ⇒ 00:38:19.700 Robert Tseng: Okay, cool.
365 00:38:19.700 ⇒ 00:38:21.320 Mitesh Patel: Bye, thank you. Thank you.
366 00:38:22.330 ⇒ 00:38:23.100 Demilade Agboola: Bye.