Meeting Title: Weekly Eden Data Sync Date: 2025-09-03 Meeting participants: Fireflies.ai Notetaker Tigran, Kevin Bell, Judd Kuehling, Henry Zhao, Cutter Streeby, Amber Lin, Stuart Posternak, prajwalthakare


WEBVTT

1 00:04:15.130 00:04:16.279 Henry Zhao: Hey Jed, how’s it going?

2 00:04:20.200 00:04:20.880 Judd Kuehling: Dude, how you doing?

3 00:04:53.950 00:04:57.180 Kevin Bell: Oh, 30 to 35 conversions per day.

4 00:05:03.000 00:05:04.130 Kevin Bell: Let’s see…

5 00:05:52.890 00:05:54.990 Henry Zhao: Patrick, do you know if Mitesh is joining today?

6 00:05:56.340 00:05:57.849 Cutter Streeby: I don’t believe so.

7 00:05:58.050 00:05:58.680 Henry Zhao: Okay.

8 00:06:11.490 00:06:12.339 Henry Zhao: Hey, Amber.

9 00:06:12.340 00:06:12.870 Amber Lin: I love it.

10 00:06:12.870 00:06:15.000 Henry Zhao: I don’t think I’ve ever slept on camera before, Amber.

11 00:06:15.000 00:06:25.099 Amber Lin: I… okay, I see. Most of my stand-ups are so early. Yeah. I’ve rolled out of bed, like, 7.30, and our meeting is at 8.

12 00:06:28.910 00:06:32.490 Henry Zhao: I don’t think we’ve officially met, either, so… Nice to…

13 00:06:33.770 00:06:35.610 Amber Lin: I see. Yeah.

14 00:06:38.330 00:06:39.550 Amber Lin: Alright.

15 00:06:43.430 00:06:50.550 Amber Lin: Well, I know we planned this meeting because we wanted to talk about, ad spend, and we wanted to touch on Catalysts.

16 00:06:51.420 00:07:00.209 Amber Lin: And… Let’s see… did Andrew say he can join this meeting?

17 00:07:00.550 00:07:01.910 Henry Zhao: No, Andrew cannot join.

18 00:07:01.910 00:07:02.590 Amber Lin: Okay.

19 00:07:02.870 00:07:15.429 Henry Zhao: But I think his update is the same for Catalyst, right? For Catalyst, I don’t think there’s any update there, but I think for the Facebook Cappy, there’s been improvement in deduplication, so we should be seeing more accurate orders data from Facebook Cappy now.

20 00:07:17.410 00:07:18.620 Henry Zhao: I’m just…

21 00:07:49.870 00:07:57.530 Henry Zhao: In the meantime, Cutter, are we all good on the… the offer spend in Tableau? I think I saw it came back.

22 00:07:58.540 00:08:00.450 Kevin Bell: Is it populating now in there?

23 00:08:01.890 00:08:05.680 Henry Zhao: It is, and then also in, North Beam.

24 00:08:05.840 00:08:10.830 Henry Zhao: Ncac seems to have gone back to normal, as well as the attributed revenue.

25 00:08:11.160 00:08:12.190 Kevin Bell: Yep, yep.

26 00:08:12.190 00:08:13.870 Cutter Streeby: Is Northbeam…

27 00:08:14.230 00:08:27.700 Cutter Streeby: tracking the affiliate conversions one-to-one now, because that was an outstanding one, like, Northbeam is showing NCAC for affiliates of, like, $1,000, and it’s supposed to be a one-to-one conversion.

28 00:08:28.340 00:08:36.010 Cutter Streeby: I don’t know if that’s true, or if, like, what’s up with it, but if we’re overpaying, then we can adjust it down.

29 00:08:36.730 00:08:41.240 Kevin Bell: So the thing… so, North Beam is still gonna have their modeled approach.

30 00:08:42.970 00:08:46.500 Kevin Bell: So… Yeah, you know.

31 00:08:47.670 00:08:55.009 Kevin Bell: it’s the numbers that we’re gonna see in North Beam, just like for any channel, it’s not gonna be 100% accurate. So, we’re paying one-to-one.

32 00:08:56.460 00:09:07.720 Kevin Bell: you know, I don’t know what the offers window is, that’s the other thing, like, Mitesh and I haven’t talked too much about it. I don’t know, like, are they looking at a 7-day, 14, 30-day window for their… for the attribution of the conversions that we’re…

33 00:09:08.520 00:09:10.870 Kevin Bell: That we’re getting from those, but the…

34 00:09:11.350 00:09:16.840 Kevin Bell: The quicker we switch all of those over to Catalyst, the better.

35 00:09:18.810 00:09:19.870 Kevin Bell: Oh.

36 00:09:20.330 00:09:22.319 Kevin Bell: So that, that will help some of that.

37 00:09:24.480 00:09:24.910 Cutter Streeby: Alright.

38 00:09:24.910 00:09:25.540 Henry Zhao: bet.

39 00:09:28.070 00:09:31.090 Kevin Bell: Because then we can… we can control the window, we control that…

40 00:09:31.290 00:09:34.749 Kevin Bell: the attribution window within Google Tag Manager and things of that nature.

41 00:09:35.540 00:09:40.710 Kevin Bell: Of how we’re paying out, and making… that should make the data more accurate, but yeah, this is…

42 00:09:46.630 00:09:54.790 Henry Zhao: Okay, other than that, I met with Judd yesterday to talk about, the cross-sell and, abandoned cart campaigns.

43 00:09:55.060 00:09:59.240 Henry Zhao: We’re on track there, I’m gonna gather the requirements today and start working on that.

44 00:09:59.490 00:10:01.709 Henry Zhao: Hopefully have something done by end of the week.

45 00:10:07.200 00:10:22.049 Henry Zhao: And then for Customer I.O, we added the Zendesk ticket update that you asked for, Cutter, where we include people that have closed tickets, that’s up and running, and it’s in Customer I.O. now. Judd, did it look good on your end, and did your sync with Bobby go okay?

46 00:10:22.580 00:10:25.789 Henry Zhao: It seemed like it did from the message he sent end of the yesterday.

47 00:10:25.790 00:10:33.520 Judd Kuehling: Yeah, yeah, it looks good, and, the days, field helps.

48 00:10:33.710 00:10:34.780 Judd Kuehling: But it means.

49 00:10:38.630 00:10:53.130 Henry Zhao: Okay, so then the next steps for Customer I.O. are, like we said, we’ve built a model with other attributes that we think are going to be useful for campaigns. Judge is going to take a look at that list and come back to me with which ones he would like in Customer I.O, and we’re going to go ahead and send those to Customer I.O. as well.

50 00:10:53.130 00:10:59.850 Henry Zhao: And then eventually, we’re gonna clean up some of the messy, unused legacy attributes that aren’t adding any more value, so…

51 00:10:59.980 00:11:01.819 Henry Zhao: That’s our plan with Customer I.O.

52 00:11:03.390 00:11:05.380 Henry Zhao: And… Okay.

53 00:11:05.380 00:11:12.959 Cutter Streeby: So this… this spend here now includes… does it historically backdate? Like, are we gonna see…

54 00:11:14.620 00:11:19.099 Cutter Streeby: The offer spins backwards-looking, or is it only forwards-looking?

55 00:11:22.040 00:11:27.380 Henry Zhao: I’m not sure I understand the question. Let me look into this dashboard and get an understanding of the data source.

56 00:11:27.730 00:11:31.479 Henry Zhao: And I can come back to you with a full explanation on, kind of, how the data works.

57 00:11:32.490 00:11:33.070 Henry Zhao: Alright.

58 00:11:33.070 00:11:33.560 Cutter Streeby: Cool.

59 00:11:33.660 00:11:37.079 Henry Zhao: product, Rolis, and LTV snapshot.

60 00:11:37.570 00:11:38.350 Henry Zhao: Product.

61 00:11:38.600 00:11:43.260 Henry Zhao: That’s… Okay.

62 00:11:43.990 00:11:45.169 Henry Zhao: You didn’t help, okay.

63 00:11:48.450 00:11:50.269 Cutter Streeby: I dropped it in the chat direct to.

64 00:11:53.780 00:11:54.500 Henry Zhao: Okay.

65 00:12:00.870 00:12:07.999 Cutter Streeby: And as long as we can confirm that it’s in this one, this is the one the team uses to look at NCACs.

66 00:12:11.600 00:12:13.620 Henry Zhao: Okay, I’ll prioritize that one.

67 00:12:14.680 00:12:15.320 Cutter Streeby: Cool, man.

68 00:12:15.340 00:12:19.989 Henry Zhao: Yeah, because this week I’m getting into the models, and I’m getting into Tableau, and, you know, continuing to…

69 00:12:20.390 00:12:25.079 Henry Zhao: on board on those things, and then I should be able to answer a lot more of these questions.

70 00:12:26.780 00:12:30.349 Cutter Streeby: Alright, so does anybody have anything else outstanding?

71 00:12:32.070 00:12:35.260 Cutter Streeby: Kevin, you want to talk through North Beam at all, or anything like that?

72 00:12:35.260 00:12:44.609 Kevin Bell: Yeah, I mean, just kind of like a broader conversation, like… I mean, well, I guess if we’re gonna switch to RockerBox, I don’t know if we really need to have the broader conversation about Northbeat.

73 00:12:44.750 00:12:51.459 Kevin Bell: But… The… Yeah. The only thing I was gonna say is, like.

74 00:12:51.760 00:12:58.339 Kevin Bell: whatever platform… we just have to think about whatever platform we go with, whether we stick with Northbeam or go to RockerBox.

75 00:12:59.600 00:13:08.070 Kevin Bell: There’s gonna be some attributed conversions that are considered, like, organic, or, like, unattributed, or brand-related.

76 00:13:08.320 00:13:10.909 Kevin Bell: That we have to figure out

77 00:13:11.170 00:13:14.599 Kevin Bell: We’re gonna have to put some, like, manual calculation

78 00:13:14.770 00:13:22.820 Kevin Bell: of, like, what channel those are going to. What I mean by that is, for example, let me… I’m gonna share my screen real quick.

79 00:13:36.100 00:13:37.749 Kevin Bell: Alright, you guys able to see?

80 00:13:39.740 00:13:40.330 Henry Zhao: Yep.

81 00:13:40.820 00:13:41.530 Kevin Bell: Okay.

82 00:13:42.040 00:13:52.690 Kevin Bell: So this is, like… so I just pulled, like, the first 13 days before… before we switched some of the, the model, but just to show you, you know, when we’re looking at North Beam.

83 00:13:54.470 00:14:00.930 Kevin Bell: And all channels are gonna have this, but it’s like, you know, we got 62 conversions for this period of time that are organic search

84 00:14:01.570 00:14:08.380 Kevin Bell: I… this… this organic is really actually direct, so, like, we got 181 that’s pure direct… direct.

85 00:14:08.790 00:14:16.250 Kevin Bell: Then we got 278 that’s unattributed. And then this doesn’t even count the fact that… I’m not even gonna go into it, but there’s probably another

86 00:14:16.580 00:14:21.829 Kevin Bell: 30 to 50 conversions over this period of time that have come from people searching for our branded keywords.

87 00:14:21.960 00:14:30.369 Kevin Bell: So we got about, over this 13-day period, let’s say 450 conversions that are really unattributed to, like, any source.

88 00:14:30.680 00:14:35.780 Kevin Bell: And if you divide that by 13, so, like, about 34, 35 conversions per day.

89 00:14:36.200 00:14:44.780 Kevin Bell: That are more than likely either driven by CTV, Facebook, or maybe shopping.

90 00:14:46.110 00:14:49.750 Kevin Bell: And… and so that’s something for us to think about, because…

91 00:14:49.950 00:14:55.040 Kevin Bell: We’re gonna have, you know, we’re gonna have to do some testing here and there, but we’ll have to model out, like.

92 00:14:55.510 00:15:02.249 Kevin Bell: Of these organic conversion… organic and unattributed and branded conversions, how much credit do we actually take off

93 00:15:02.490 00:15:06.809 Kevin Bell: From where they are in their particular sources, and then attribute it towards the other channels.

94 00:15:07.980 00:15:13.120 Kevin Bell: Because without, you know, we would, you know, we wouldn’t have… You know.

95 00:15:13.290 00:15:17.949 Kevin Bell: obviously, this is… this is needed. We wouldn’t have 240 conversions here

96 00:15:18.590 00:15:22.510 Kevin Bell: Searching for people coming… searching for us organically or direct.

97 00:15:22.730 00:15:24.660 Kevin Bell: If they didn’t see us in other places.

98 00:15:24.660 00:15:25.580 Cutter Streeby: Correct.

99 00:15:25.910 00:15:29.119 Cutter Streeby: And will RockerBox have a better…

100 00:15:29.610 00:15:31.829 Kevin Bell: It should clean some of that up.

101 00:15:31.990 00:15:35.410 Kevin Bell: But you still have to have, like, some…

102 00:15:35.590 00:15:40.130 Kevin Bell: Something in the back. Like, you… you gotta kinda know, like, you gotta run some tests.

103 00:15:40.290 00:15:52.009 Kevin Bell: like, so you… what you end up doing is you do, like, some type of lift analysis test for, like, a week or two-week period. And so you increase the spend on one of these channels that you think is driving these sales, and then you see…

104 00:15:52.340 00:16:00.990 Kevin Bell: the lift in your attributed channels, and then the unattributed channels, and then that should give you a gauge as far as, like, alright, we can assume

105 00:16:01.210 00:16:14.760 Kevin Bell: you know, 30-40% of these conversions are CTV. So, you know, even though it’s gonna show up as this number, we can naturally assume on any given day, CTV is attributing actually this amount of additional conversions.

106 00:16:15.440 00:16:16.240 Cutter Streeby: Cool.

107 00:16:16.550 00:16:26.290 Kevin Bell: So, something for us to think about as we’re, like, you know, when we choose RockerBox, and then, like, you know, what the numbers come out to be, and then how do we continue to assess the performance of each channel?

108 00:16:28.170 00:16:34.919 Cutter Streeby: Alright, and then Henry, just for you, we might be killing North Beam. We already killed Incremental.

109 00:16:35.360 00:16:44.559 Cutter Streeby: And we’ll probably kill Northbeam and move attribution to RockerBox, because it has a bigger database. Have you worked in RockerBox before?

110 00:16:45.090 00:16:47.540 Henry Zhao: I have not. I’m looking at it right now.

111 00:16:47.900 00:16:52.120 Cutter Streeby: If you guys want to include me in the call with RockerBox, I’d love to find out more about it.

112 00:16:52.550 00:16:59.549 Kevin Bell: Okay, cool, cool. I will, matt is leading that, so I will connect you guys, I’ll let Matt know to add you instead.

113 00:17:01.680 00:17:06.720 Henry Zhao: Yeah, so far it’s kind of been a little bit of a nightmare to work with, North Beam, so I’m kind of happy about this news.

114 00:17:06.920 00:17:08.100 Henry Zhao: At least that’s potential.

115 00:17:09.240 00:17:11.319 Kevin Bell: Yeah, hopefully this makes it easier for us.

116 00:17:12.770 00:17:13.290 Kevin Bell: Hmm.

117 00:17:13.290 00:17:16.249 Cutter Streeby: Cool. Do we have an ETA on RocketBox?

118 00:17:19.010 00:17:30.019 Kevin Bell: I don’t know, I haven’t talked to Matt this week about it, so, I mean, he’s been the one leading it, so let me shoot him a message and see what he’s saying as far as, like, timeline on it.

119 00:17:32.330 00:17:33.090 Cutter Streeby: Cool.

120 00:17:34.270 00:17:39.870 Cutter Streeby: Alright, that’s it. So, Henry, if you can just confirm the dashboards that I sent you are showing…

121 00:17:40.150 00:17:44.139 Cutter Streeby: attributed affiliate spend… I think that’s the only one missing.

122 00:17:44.370 00:17:45.150 Henry Zhao: Okay.

123 00:17:50.100 00:17:51.330 Cutter Streeby: Alright, that’s it.

124 00:17:55.240 00:17:59.510 Henry Zhao: Also, Amber, can you include me in the call with Tracy? I think it would be good to…

125 00:17:59.780 00:18:01.350 Henry Zhao: Speed up on Tableau together.

126 00:18:01.350 00:18:05.760 Amber Lin: Okay, sounds good. I’ll grab a time with you both.

127 00:18:06.590 00:18:07.280 Henry Zhao: Perfect.

128 00:18:07.280 00:18:07.950 Amber Lin: Right.

129 00:18:08.330 00:18:08.930 Henry Zhao: Alright.

130 00:18:09.670 00:18:10.489 Cutter Streeby: Thanks, guys.

131 00:18:10.500 00:18:11.829 Henry Zhao: Oh my gosh, yeah, thank you.