Meeting Title: Weekly Eden Data Sync Date: 2025-09-17 Meeting participants: Fireflies.ai Notetaker Tigran, Amber Lin, Henry Zhao, Mitesh Patel, Cutter Streeby
WEBVTT
1 00:06:11.420 ⇒ 00:06:12.420 Amber Lin: Hi there!
2 00:06:13.380 ⇒ 00:06:14.950 Mitesh Patel: Hi, Amber, how are you?
3 00:06:14.950 ⇒ 00:06:16.070 Amber Lin: Pretty good.
4 00:06:16.070 ⇒ 00:06:17.369 Mitesh Patel: Henry, how are you?
5 00:06:21.150 ⇒ 00:06:22.120 Henry Zhao: Good, how are you guys doing?
6 00:06:22.600 ⇒ 00:06:24.189 Mitesh Patel: Good, good, thank you.
7 00:06:24.190 ⇒ 00:06:26.110 Henry Zhao: Sorry, I didn’t mean to deny the notes like this earlier.
8 00:06:27.920 ⇒ 00:06:30.199 Mitesh Patel: Whose note-taker was it? I don’t know.
9 00:06:30.980 ⇒ 00:06:32.259 Amber Lin: Yeah, it was tea grunts.
10 00:06:32.990 ⇒ 00:06:33.620 Mitesh Patel: I know.
11 00:06:33.980 ⇒ 00:06:35.080 Mitesh Patel: Hang them out!
12 00:06:40.650 ⇒ 00:06:44.720 Mitesh Patel: Yeah, Fireflies just invites itself to all the meetings.
13 00:06:45.020 ⇒ 00:06:45.930 Amber Lin: Yep.
14 00:06:53.410 ⇒ 00:06:54.720 Amber Lin: Alright.
15 00:06:56.080 ⇒ 00:07:03.419 Amber Lin: I think we can just get started. If we don’t have anything else, Kutta was asking about…
16 00:07:03.660 ⇒ 00:07:09.659 Amber Lin: Updates for 3 dashboards, and we can give him an update, in this meeting.
17 00:07:09.660 ⇒ 00:07:10.370 Mitesh Patel: Yep.
18 00:07:10.770 ⇒ 00:07:13.959 Mitesh Patel: Yeah, he should join…
19 00:07:16.240 ⇒ 00:07:17.530 Mitesh Patel: Let me ping him.
20 00:07:21.870 ⇒ 00:07:26.470 Henry Zhao: Yeah, I think today we can mainly talk about what Duran is working on, and the, updates there.
21 00:07:30.040 ⇒ 00:07:30.700 Amber Lin: Okay.
22 00:07:33.790 ⇒ 00:07:41.480 Henry Zhao: And then I can open up to you guys on additional currency things you might have, and then, anything else we need to work on or focus on this week, or next week.
23 00:07:46.660 ⇒ 00:07:48.690 Mitesh Patel: Alright, I just texted him, let’s see.
24 00:07:50.970 ⇒ 00:07:55.289 Henry Zhao: Yeah, also, sorry, my Wi-Fi’s a little bit spotty, so if I’m, like, cutting in or out, just let me know, please.
25 00:07:55.550 ⇒ 00:08:05.289 Mitesh Patel: Okay. Actually, he’ll be about 15 minutes before he can join Cutter. He’s on with the ELT,
26 00:08:05.800 ⇒ 00:08:09.009 Mitesh Patel: Anything we can cover while I’m here?
27 00:08:10.610 ⇒ 00:08:19.570 Henry Zhao: No, Makesh, just wanted to give you an update that we brought on this guy named Zoran, who’s working on implementing the, edge layer and server-side tracking, and he’s made quite a bit of progress.
28 00:08:20.260 ⇒ 00:08:23.020 Mitesh Patel: Yeah, I heard him… I heard he’s, doing well.
29 00:08:23.250 ⇒ 00:08:29.859 Henry Zhao: Yeah, so once he’s done with that, I do need to work on improving some of the stitching, so making sure that we have accurate first touch.
30 00:08:29.970 ⇒ 00:08:44.979 Henry Zhao: and last touch attribution, and then just making sure that it’s feeding our North Beam reporting properly, as well as, allowing us to optimize campaigns based on that data. And then making sure that we send the correct data to Catalyst, so we’re not overpaying.
31 00:08:45.190 ⇒ 00:08:48.690 Henry Zhao: So those are, I think, the three main goals that we want to achieve from this.
32 00:08:49.250 ⇒ 00:08:53.199 Mitesh Patel: Yep, yep, cool. Yeah, one of the… that whole…
33 00:08:53.350 ⇒ 00:08:59.909 Mitesh Patel: You know, catalyst, like, where we were triggering the, even the repeat orders.
34 00:09:00.030 ⇒ 00:09:02.640 Mitesh Patel: Right? Non-new customers.
35 00:09:02.950 ⇒ 00:09:17.359 Mitesh Patel: That’s really… I mean, look, we shouldn’t be paying Catalysts for those, but that’s on us, you know, we’re the ones who triggered those, so… that’s what we have to figure it out and, sort of, you know.
36 00:09:18.230 ⇒ 00:09:23.800 Mitesh Patel: Are we doing that for other channels, too, or just… the affiliate channels.
37 00:09:24.990 ⇒ 00:09:41.400 Henry Zhao: I don’t understand, because from what I learned from Kevin, is that Catalyst is getting their data directly from the Pixel, so it doesn’t seem like it’s something that’s in our control. So I need to get a better understanding of how that’s something that we affected, if they’re just installing… Sorry.
38 00:09:41.400 ⇒ 00:09:46.760 Mitesh Patel: and then they’re gonna get… Yeah, we’re saying catalyst, but I think I mean the offer.
39 00:09:48.580 ⇒ 00:09:53.680 Henry Zhao: Okay, so I don’t have a… I don’t have a good enough understanding of how we were sending data to the offer.
40 00:09:53.850 ⇒ 00:09:56.379 Henry Zhao: To be able to answer that.
41 00:09:57.350 ⇒ 00:10:10.690 Henry Zhao: But yeah, if we properly stitch the data, we should be able to say, if the offer is only responsible for first touch or last touch, then we need to be able to send the correct data, the correct first touch, or the correct last touch data to be able to correctly attribute.
42 00:10:11.510 ⇒ 00:10:12.910 Mitesh Patel: Yeah, yeah.
43 00:10:13.830 ⇒ 00:10:23.069 Henry Zhao: Because if Mitesh, you come in from a Facebook ad, or you come in from, like, the offer, but then when you purchase, you’re on a different browser, and you’re now Mitesh 2,
44 00:10:23.800 ⇒ 00:10:28.310 Henry Zhao: And we’re not paying only first touch or only last set, we’re paying Mitesh twice, right?
45 00:10:28.580 ⇒ 00:10:34.709 Henry Zhao: But if we’re only doing first touch, who cares about Mitesh 2, right? Like, only Mitesh 1 counts, because you were the first touch.
46 00:10:34.710 ⇒ 00:10:38.390 Mitesh Patel: Yeah, unfortunately, that’s just not how these channels work, and there are agreements.
47 00:10:38.890 ⇒ 00:10:48.119 Mitesh Patel: You know? So, in that example, really what it depends on is what is our attribution window?
48 00:10:48.500 ⇒ 00:11:03.149 Mitesh Patel: Right. Either, you know, Google, for example, uses 30-day, and they use, data-driven attribution, right? They weigh first touch, last touch, and middle touches. Like, I think it’s, like, 40, 40, and then everything else, 20.
49 00:11:03.330 ⇒ 00:11:08.919 Mitesh Patel: In terms of giving credit to that Google click, for example.
50 00:11:09.300 ⇒ 00:11:12.879 Mitesh Patel: For Meta, it’s a 7-day attribution window. Click.
51 00:11:13.890 ⇒ 00:11:17.470 Mitesh Patel: For affiliates,
52 00:11:17.980 ⇒ 00:11:34.949 Mitesh Patel: you know, I think contractually, with the offer, I have to look it up, but, you know, let’s say we make it 10 days. So, unfortunately, if both, let’s say, the Google click and an offer click comes in on my traffic, let’s say, on my conversion.
53 00:11:35.090 ⇒ 00:11:37.280 Mitesh Patel: They’re both gonna get credit for it.
54 00:11:38.060 ⇒ 00:11:41.030 Mitesh Patel: And that’s just a contractual thing. That’s not…
55 00:11:41.450 ⇒ 00:11:47.450 Mitesh Patel: anything else. What is… I think what the issue is happening is…
56 00:11:47.570 ⇒ 00:11:51.469 Mitesh Patel: Let’s say, you know, what we’re supposed to pay
57 00:11:51.610 ⇒ 00:11:57.590 Mitesh Patel: The affiliates, and influencers, the same thing, is only on the acquisition.
58 00:11:57.780 ⇒ 00:12:01.749 Mitesh Patel: We only pay them when a customer is net new to our database.
59 00:12:02.520 ⇒ 00:12:03.400 Henry Zhao: Right, okay.
60 00:12:03.400 ⇒ 00:12:12.410 Mitesh Patel: Right? We were triggering the conversion, or the purchase event, on new customers as well as repeat customers.
61 00:12:15.690 ⇒ 00:12:16.400 Henry Zhao: Okay.
62 00:12:16.680 ⇒ 00:12:24.850 Mitesh Patel: So that’s what we’re, you know, sort of, how did that happen? Why were we triggering for both, and for how long is the issue?
63 00:12:25.260 ⇒ 00:12:32.090 Mitesh Patel: Right? At some… at one point, and Henry, I don’t know all the details and the dates, and I think we’re gonna have to figure it out.
64 00:12:32.360 ⇒ 00:12:39.140 Mitesh Patel: At some point, we were triggering just based on their, you know, through GTM.
65 00:12:39.260 ⇒ 00:12:40.160 Mitesh Patel: Right?
66 00:12:40.560 ⇒ 00:12:41.150 Henry Zhao: Yup.
67 00:12:41.490 ⇒ 00:12:45.889 Mitesh Patel: And then at some point, we started to trigger these purchase events through segment.
68 00:12:49.870 ⇒ 00:13:03.110 Mitesh Patel: Right? And it’s… when we… when we were triggering through segment, I think, and, you know, now that Cutter joined, I think that’s when we were… we did… we were triggering new and repeat customers.
69 00:13:04.130 ⇒ 00:13:07.529 Mitesh Patel: Purchase events, where we should have been triggering only the new ones.
70 00:13:09.800 ⇒ 00:13:10.470 Henry Zhao: Yeah.
71 00:13:10.710 ⇒ 00:13:11.040 Mitesh Patel: Right.
72 00:13:11.040 ⇒ 00:13:25.179 Henry Zhao: So I think what’s important is that when Zuran implements the, edge layer and the server-side tracking, we need to also make sure that the cookie is able to tell us who is actually a new customer and who is an existing customer, based on, like, a unique ID, basically.
73 00:13:25.650 ⇒ 00:13:26.090 Mitesh Patel: Yep.
74 00:13:26.090 ⇒ 00:13:30.739 Henry Zhao: Right? So if you make a repeat purchase, but you’re on a different device, or you’re on a…
75 00:13:31.300 ⇒ 00:13:38.799 Henry Zhao: Right, like, you could have a different email, you could be… I don’t know, whatever, but if you’re on a different device, we need to be able to fit you together and say, these two are both Nitesh.
76 00:13:38.980 ⇒ 00:13:41.589 Henry Zhao: You’re making a second purchase, you’re not a new customer.
77 00:13:48.790 ⇒ 00:13:49.590 Mitesh Patel: Okay.
78 00:13:49.940 ⇒ 00:13:53.639 Henry Zhao: That’s one thing, and the other thing, I think, is, attribution window.
79 00:13:53.770 ⇒ 00:14:05.219 Henry Zhao: Is… let’s say that the attribute… let’s say that the affiliates brought in somebody on day 1, and then day 8, they made a purchase, and the attribution window’s 7 days, but there’s no other marketing touches in those 8 days.
80 00:14:05.750 ⇒ 00:14:09.999 Henry Zhao: Like, conceptually, that person might have just waited 8 days to make a purchase, right?
81 00:14:10.280 ⇒ 00:14:16.289 Henry Zhao: But if on day 7 they saw Facebook ads, then yeah, maybe it was a Facebook ad that actually converted in it. So…
82 00:14:16.940 ⇒ 00:14:19.440 Henry Zhao: Like, these are just some things to think about.
83 00:14:19.440 ⇒ 00:14:27.909 Mitesh Patel: No, I… yeah, I understand that the… and unfortunately, that’s just based on our agreements, right? We don’t… we don’t…
84 00:14:27.910 ⇒ 00:14:28.380 Henry Zhao: Yeah, okay.
85 00:14:28.380 ⇒ 00:14:32.780 Mitesh Patel: are rarely just last touch. It’s within some attribution window.
86 00:14:32.780 ⇒ 00:14:46.309 Cutter Streeby: Yeah, and Henry, it’s the same thing we talked about with Zoran. So, there’s two ways. If Last Touch is affiliate from edge tracking, or if First Touch occurred in the first 14 days.
87 00:14:47.590 ⇒ 00:15:01.479 Cutter Streeby: And that’s… and just a catch update on that, they got a 4-week rollout for us to be server-to-server and edge-tracked. And with edge tracking, we’re gonna have so much more visibility inside of Northbeam, inside of Tableau.
88 00:15:01.660 ⇒ 00:15:06.669 Cutter Streeby: that… we’re gonna be in a way better spot. The only difference in there.
89 00:15:06.670 ⇒ 00:15:07.110 Henry Zhao: cream?
90 00:15:07.110 ⇒ 00:15:11.360 Cutter Streeby: Henry, for all that, is Forbes. They have a 10-day payback period, but…
91 00:15:11.880 ⇒ 00:15:13.889 Cutter Streeby: When we get there, we’ll get there.
92 00:15:14.500 ⇒ 00:15:24.209 Henry Zhao: Yeah. My only concern is that when I talked to Kevin, he said that Catalyst is going to get the data directly from their Pixel. If they are doing that, then they’re not going to know
93 00:15:24.340 ⇒ 00:15:28.030 Henry Zhao: what’s first touch or what’s last touch? They’re just gonna see everything that came through their pixel.
94 00:15:30.940 ⇒ 00:15:33.880 Henry Zhao: So, I just need to speak with Veron and make sure that
95 00:15:34.000 ⇒ 00:15:39.520 Henry Zhao: whatever data we’re sending to Catalyst, that they know whether it’s first clutch or last touch, and be able to apply that logic.
96 00:15:46.670 ⇒ 00:15:50.379 Henry Zhao: I can write something up, to kind of explain it better after I move around.
97 00:15:51.150 ⇒ 00:15:53.240 Mitesh Patel: Okay. Yeah, we’re gonna have to.
98 00:15:53.240 ⇒ 00:15:53.760 Henry Zhao: Going through.
99 00:15:53.760 ⇒ 00:15:58.529 Mitesh Patel: Yeah, definitely, we’re all gonna have to understand it and be aligned on this, because…
100 00:15:58.980 ⇒ 00:16:01.120 Mitesh Patel: You know, it’s a contractual thing, and if.
101 00:16:01.120 ⇒ 00:16:01.720 Henry Zhao: Yeah.
102 00:16:01.720 ⇒ 00:16:14.830 Mitesh Patel: You know, if the affiliates or, you know, find out that we’re somehow filtering purchase events, you know, whatever, they’ll just stop sending… they’ll stop doing business with us.
103 00:16:15.410 ⇒ 00:16:16.150 Henry Zhao: Okay
104 00:16:17.060 ⇒ 00:16:31.159 Henry Zhao: So, gotta strike a balance, right? So, if you guys can send me, just in writing, the contractual agreement we have with Catalyst, I just want to go piece by piece with Varon to make sure that we’ve kind of, like, crossed our T’s and dotted our I’s, make sure we’ve got everything covered.
105 00:16:31.560 ⇒ 00:16:32.300 Mitesh Patel: Alright.
106 00:16:32.400 ⇒ 00:16:35.050 Mitesh Patel: So, Cutter, will you just send that, what you just described?
107 00:16:35.340 ⇒ 00:16:44.100 Cutter Streeby: I already did, they already have it. We already met with Robert on it earlier this week. They have a role plan. It’s just, when we have…
108 00:16:45.530 ⇒ 00:16:51.559 Cutter Streeby: unique… things, like with the offer, I mean, with Forbes or something, that’s the only time that it’ll change.
109 00:16:52.220 ⇒ 00:16:52.840 Mitesh Patel: Okay.
110 00:16:54.530 ⇒ 00:16:58.480 Mitesh Patel: Alright, so Henry, Robert, Robert, Yep.
111 00:16:59.290 ⇒ 00:17:08.989 Cutter Streeby: Yeah, you guys have it. I met with Robert twice already. He’s… you guys put together your role, you got 4 weeks with a buffer week, and then…
112 00:17:09.130 ⇒ 00:17:13.490 Cutter Streeby: That should be server-to-server and edge, plugged into all the places.
113 00:17:17.030 ⇒ 00:17:24.280 Mitesh Patel: for… Alright, so I just have one other question, and then I gotta jump into another call, but,
114 00:17:24.640 ⇒ 00:17:31.630 Mitesh Patel: For that snapshot report where you added the total spend, including the offline spend.
115 00:17:31.780 ⇒ 00:17:39.829 Mitesh Patel: Is there a way to… and right now, so for example, I don’t know, I’m just looking at August… I guess I can look at September, but…
116 00:17:41.110 ⇒ 00:17:47.739 Mitesh Patel: Is there a breakdown? So you have a total number for ad spend. Can we get a breakdown of…
117 00:17:48.200 ⇒ 00:17:51.660 Mitesh Patel: Like, each channel that’s contributing to that?
118 00:17:52.780 ⇒ 00:17:54.929 Henry Zhao: Yeah, Amber, can you take that out?
119 00:17:55.380 ⇒ 00:17:57.070 Henry Zhao: I think that should be possible.
120 00:17:57.330 ⇒ 00:17:58.010 Amber Lin: Yeah.
121 00:18:01.410 ⇒ 00:18:02.080 Amber Lin: Mmm…
122 00:18:03.400 ⇒ 00:18:08.519 Henry Zhao: By channel, do you just mean offer versus non-offer, or do you want, like, all the channels, like, Facebook…
123 00:18:08.520 ⇒ 00:18:20.549 Mitesh Patel: Yeah, we need all the major channels, because we just… I want us to be able to make sure that, you know, that we’re getting the spend correctly from each of the channels.
124 00:18:20.550 ⇒ 00:18:21.840 Henry Zhao: Okay.
125 00:18:21.840 ⇒ 00:18:24.139 Mitesh Patel: And it’s not just rolled up into one number.
126 00:18:24.790 ⇒ 00:18:29.129 Henry Zhao: Yeah. Amber, I think that’s what Demolati just did with the offer, but just with all the channels now.
127 00:18:29.680 ⇒ 00:18:39.909 Cutter Streeby: So he has that board that he built that says, include affiliates, exclude affiliates. The issue with it was the ad spend wasn’t changing by channel. I think he fixed that.
128 00:18:40.710 ⇒ 00:18:41.160 Henry Zhao: Yep.
129 00:18:41.160 ⇒ 00:18:42.329 Cutter Streeby: Oh, we should be good.
130 00:18:42.600 ⇒ 00:18:43.240 Mitesh Patel: That way…
131 00:18:43.240 ⇒ 00:18:43.860 Henry Zhao: I’m a…
132 00:18:43.860 ⇒ 00:19:00.589 Mitesh Patel: Yeah, I mean, these numbers, you know, generally will be, because it’s ad spend, they’re specific, right? Will be accurate, but if we see… this’ll help us understand if there’s any kind of discrepancy between what we think we’re spending on a platform and what we’re reporting here, by channel, right? And that’s gonna be important.
133 00:19:08.080 ⇒ 00:19:09.610 Mitesh Patel: Alright, thank you.
134 00:19:09.830 ⇒ 00:19:12.069 Mitesh Patel: I gotta, I gotta get, join another call.
135 00:19:12.270 ⇒ 00:19:13.120 Henry Zhao: Okay, thanks for texting.
136 00:19:13.120 ⇒ 00:19:13.989 Mitesh Patel: Thanks, bye.
137 00:19:15.330 ⇒ 00:19:21.740 Cutter Streeby: Amber slash Henry, you guys got anything for me? I’ve got the requests in for those dashboards.
138 00:19:22.190 ⇒ 00:19:23.150 Cutter Streeby: That’s it.
139 00:19:23.360 ⇒ 00:19:24.620 Amber Lin: Yeah, yeah.
140 00:19:24.620 ⇒ 00:19:29.669 Henry Zhao: So I have to go over the dashboard with Judd on the lifecycle Marketing Report.
141 00:19:29.820 ⇒ 00:19:39.230 Henry Zhao: And then the report that was for Devin, Sigran is going over it. But I already checked with Andrew on if connecting, like, queries to conversions is possible, and he said no.
142 00:19:39.230 ⇒ 00:19:49.890 Henry Zhao: ChatGG also said no, Google also said no, but I’m gonna just double-check with Zeron on if we can connect it. But I believe it’s not possible due to privacy concerns that, Google just doesn’t map those.
143 00:19:51.440 ⇒ 00:20:02.429 Cutter Streeby: I mean, if he’s in the edge, he should be able to match first session in the edge. That’s… that’s what he’s building, so theoretically, he should be able to match it, but let me know what he says.
144 00:20:03.640 ⇒ 00:20:09.540 Henry Zhao: Yeah… Yeah, I’ll let you know. I’m meeting with him tomorrow morning.
145 00:20:09.890 ⇒ 00:20:10.650 Cutter Streeby: Cool.
146 00:20:10.880 ⇒ 00:20:12.489 Henry Zhao: At, like, 8.30 Eastern.
147 00:20:13.070 ⇒ 00:20:14.070 Cutter Streeby: Hey, man!
148 00:20:15.630 ⇒ 00:20:19.850 Amber Lin: And Harry, I added the ticket from Christina on… where are you…
149 00:20:19.850 ⇒ 00:20:22.319 Henry Zhao: Oh, okay, yeah, the one on CJ, right?
150 00:20:22.320 ⇒ 00:20:29.250 Amber Lin: Yes, I think she wants it ideally by end of week, so I pushed out, one of the finance tasks.
151 00:20:30.250 ⇒ 00:20:30.930 Henry Zhao: Okay.
152 00:20:30.930 ⇒ 00:20:31.460 Amber Lin: Yeah.
153 00:20:35.350 ⇒ 00:20:36.150 Amber Lin: Okay.
154 00:20:36.700 ⇒ 00:20:38.230 Cutter Streeby: Cool. Thanks, guys.
155 00:20:39.030 ⇒ 00:20:42.080 Henry Zhao: Yeah, and then the attribution stuff, I’m gonna rush as much as possible, but…
156 00:20:42.420 ⇒ 00:20:48.990 Cutter Streeby: Don’t rush it, bro. This is, like, this is like… that’s what I told Rob, like, just give me a realistic timeline.
157 00:20:48.990 ⇒ 00:20:49.370 Henry Zhao: Yeah.
158 00:20:49.370 ⇒ 00:20:59.059 Cutter Streeby: That if we can do this shit right the first time, bro, we’re gonna be able to… we’re gonna have, like, 85% visibility into…
159 00:20:59.060 ⇒ 00:20:59.390 Henry Zhao: Yeah.
160 00:20:59.390 ⇒ 00:21:04.069 Cutter Streeby: all touches, it’s gonna be fucking sick, and it’s worth it. Yeah.
161 00:21:04.300 ⇒ 00:21:12.189 Cutter Streeby: quintuple check that it’s gotta go in the queuing system, and whatever the fuck else Robert was saying when we were in there, like…
162 00:21:12.470 ⇒ 00:21:23.450 Henry Zhao: Yeah, but the reason I say you need to rush it is because the first time I did attribution, the team estimated 6 weeks, and it took, like, 7 months. So, these things always take longer than they… than people expect in the beginning.
163 00:21:23.450 ⇒ 00:21:27.289 Cutter Streeby: Alright, bro, you the man, just get it to me in 5.
164 00:21:27.290 ⇒ 00:21:28.069 Henry Zhao: We will.
165 00:21:28.220 ⇒ 00:21:29.010 Henry Zhao: Yeah.
166 00:21:29.380 ⇒ 00:21:31.360 Cutter Streeby: Alright, cool. Thank you guys so much.
167 00:21:31.360 ⇒ 00:21:37.020 Henry Zhao: We’re not gonna, like, dilly-dally on it. We’re gonna get to it as soon as possible, because we know it’s important.
168 00:21:37.240 ⇒ 00:21:40.729 Henry Zhao: And just gotta make sure we do it right.
169 00:21:40.990 ⇒ 00:21:42.559 Cutter Streeby: Cool, man. Thank you.
170 00:21:42.850 ⇒ 00:22:01.410 Henry Zhao: Because right now, we have a… I was telling Amber, like, we have a bunch of different sources for attribution, and all the numbers are wildly different. I need to investigate, as soon as possible, why these numbers are different, if it’s the stitching that’s not correct, if it’s the… the data’s not flowing properly, I need to investigate that as soon as possible, and figure out that plan by end of week.
171 00:22:01.870 ⇒ 00:22:03.050 Cutter Streeby: My man.
172 00:22:03.050 ⇒ 00:22:04.250 Henry Zhao: And I will update you.
173 00:22:04.250 ⇒ 00:22:05.170 Cutter Streeby: Thank you.
174 00:22:05.680 ⇒ 00:22:08.009 Henry Zhao: Thank you, Cutter, and I thank you for understanding.
175 00:22:08.310 ⇒ 00:22:10.810 Cutter Streeby: He is her. Alright, thank you, people.
176 00:22:10.810 ⇒ 00:22:13.299 Henry Zhao: Alright, cool. Cool, baby. Alright, take care, guys.
177 00:22:13.680 ⇒ 00:22:27.189 Amber Lin: Yeah. I mean, one last thing. On the ticket that you asked me to create, can you confirm that this is the right title? I caught half of it, I caught the last half of it, and I was like, I’m not gonna make Mitesh say it again.
178 00:22:27.350 ⇒ 00:22:27.900 Amber Lin: But…
179 00:22:27.900 ⇒ 00:22:28.440 Henry Zhao: Yeah.
180 00:22:28.440 ⇒ 00:22:31.619 Amber Lin: What are we doing to the all major ad spend channels?
181 00:22:31.620 ⇒ 00:22:37.509 Henry Zhao: So, yeah, break down the product, RT… it’s like LTV and R-O-A-S.
182 00:22:38.210 ⇒ 00:22:40.569 Amber Lin: R, LTV and ROAS…
183 00:22:40.570 ⇒ 00:22:43.059 Henry Zhao: And ROAS, product snapshot.
184 00:22:43.440 ⇒ 00:22:44.430 Henry Zhao: Snapshot.
185 00:22:44.680 ⇒ 00:22:47.860 Henry Zhao: Dashboard by all major ad spend channels.
186 00:22:47.860 ⇒ 00:22:49.370 Amber Lin: Okay, gotcha.
187 00:22:49.630 ⇒ 00:22:51.950 Amber Lin: Yeah, I signed this to the melati.
188 00:22:51.950 ⇒ 00:22:54.780 Henry Zhao: Yeah, so what Demolati did with the offer, but now with all the channels.
189 00:22:55.720 ⇒ 00:23:00.679 Henry Zhao: And I don’t know if he wants to do it as, like, a filter, or, like, by columns, but I think either one should work.
190 00:23:05.870 ⇒ 00:23:06.620 Amber Lin: Right.
191 00:23:06.620 ⇒ 00:23:09.090 Henry Zhao: I don’t know why my Wi-Fi’s not working, it’s really annoying.
192 00:23:09.090 ⇒ 00:23:13.369 Amber Lin: Oh, well, your voice is not cracking, it went all just fine.
193 00:23:13.860 ⇒ 00:23:14.760 Henry Zhao: Can you hear me, though?
194 00:23:14.820 ⇒ 00:23:16.350 Amber Lin: Yeah, I can hear you well.
195 00:23:16.680 ⇒ 00:23:19.139 Henry Zhao: That’s weird. I feel like nobody can hear me.
196 00:23:19.140 ⇒ 00:23:20.430 Amber Lin: I feel like I’m screaming.
197 00:23:22.510 ⇒ 00:23:26.650 Amber Lin: No, no, it just feels like you have a bad mic, that’s all.
198 00:23:26.930 ⇒ 00:23:28.180 Henry Zhao: Oh, okay, interesting.
199 00:23:28.360 ⇒ 00:23:34.090 Amber Lin: And I’ll say I’ll do, like, 5 points… There’s 5 hours.
200 00:23:34.090 ⇒ 00:23:37.189 Henry Zhao: I don’t know if it’ll be 5. Yeah, maybe 3. Oh, yeah, I don’t know, I don’t wanna…
201 00:23:37.400 ⇒ 00:23:38.360 Amber Lin: Yeah, well, I’ll see.
202 00:23:38.360 ⇒ 00:23:39.550 Henry Zhao: Searching for money.
203 00:23:39.710 ⇒ 00:23:42.310 Amber Lin: Yeah. Okay. I’ll ask him.
204 00:23:42.920 ⇒ 00:23:44.470 Henry Zhao: Okay. And then…
205 00:23:44.650 ⇒ 00:23:55.889 Amber Lin: you’re meeting with Judd on this, right? Because he can’t access, and ChatGPT told me it’s a, BigQuery table access issue, maybe he doesn’t have access to Factors.
206 00:23:55.890 ⇒ 00:24:00.339 Henry Zhao: I will see if I can log into Robert’s account and give access, if not, I’ll need to ask Robert for help.
207 00:24:00.340 ⇒ 00:24:01.560 Amber Lin: Okay, okay.
208 00:24:02.010 ⇒ 00:24:03.660 Henry Zhao: Sounds good.
209 00:24:04.970 ⇒ 00:24:12.249 Amber Lin: I ticketed it out, so we will see what happens there. Let me ask them a lot about a new task.
210 00:24:13.580 ⇒ 00:24:14.220 Henry Zhao: Okay.
211 00:24:14.220 ⇒ 00:24:15.259 Amber Lin: Alright, thank you.
212 00:24:15.870 ⇒ 00:24:16.910 Henry Zhao: Alright, thanks, Amber.
213 00:24:17.040 ⇒ 00:24:17.999 Amber Lin: Of course, bye.
214 00:24:18.000 ⇒ 00:24:18.690 Henry Zhao: Okay.