Meeting Title: Project-Reviews Date: 2024-08-21 Meeting participants: Ryan Luke Daque, Nicolas Sucari


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1 00:01:22.890 00:01:23.710 Nicolas Sucari: Hey, Ryan.

2 00:01:24.940 00:01:26.000 Ryan Luke Daque: Hi. Nicholas.

3 00:02:35.340 00:02:37.409 Nicolas Sucari: I don’t know if the time is gonna join

4 00:02:40.180 00:02:44.430 Nicolas Sucari: But yeah, he asked me to send that thread on

5 00:02:45.760 00:02:48.350 Nicolas Sucari: on that client for cars. Go channel.

6 00:02:50.490 00:02:51.360 Ryan Luke Daque: yeah.

7 00:02:54.290 00:02:57.560 Ryan Luke Daque: he just sent the email as well, like, how?

8 00:02:57.840 00:02:59.280 Ryan Luke Daque: So? It looks like it’s.

9 00:02:59.640 00:03:00.200 Nicolas Sucari: And let me.

10 00:03:00.200 00:03:02.225 Ryan Luke Daque: The email is coming from

11 00:03:02.710 00:03:04.280 Ryan Luke Daque: from post pilot.

12 00:03:05.340 00:03:06.050 Ryan Luke Daque: They were the ones.

13 00:03:06.050 00:03:06.470 Nicolas Sucari: Yeah.

14 00:03:06.470 00:03:10.409 Ryan Luke Daque: It up. So yeah, I’m also like, read trying to read through

15 00:03:11.540 00:03:13.519 Ryan Luke Daque: what happened here.

16 00:03:15.300 00:03:15.885 Ryan Luke Daque: So

17 00:04:08.480 00:04:09.700 Ryan Luke Daque: well, if we just

18 00:04:10.070 00:04:11.209 Ryan Luke Daque: base this.

19 00:04:11.210 00:04:12.400 Nicolas Sucari: And I’m really

20 00:04:12.830 00:04:20.429 Nicolas Sucari: yeah. I’m trying to read through the thread, but I don’t know if there is like anywhere that we are asking for postcard dates, or something like that.

21 00:04:20.700 00:04:25.159 Ryan Luke Daque: It doesn’t look like there is, and if if we just base it off on

22 00:04:28.910 00:04:31.680 Ryan Luke Daque: on what they mentioned, and Jane even

23 00:04:32.140 00:04:38.049 Ryan Luke Daque: provided a link. The this conversion list, let me let me share my screen. I think that would be easier.

24 00:04:38.050 00:04:38.850 Nicolas Sucari: Yeah. Okay.

25 00:04:39.560 00:04:43.005 Nicolas Sucari: yeah. That conversion list, I think, is the one that

26 00:04:43.820 00:04:46.030 Nicolas Sucari: that we have there on on.

27 00:04:46.030 00:04:46.690 Ryan Luke Daque: Yeah, but.

28 00:04:46.690 00:04:50.120 Nicolas Sucari: Pilot, and that’s different from what we are receiving. Right.

29 00:04:50.440 00:04:56.949 Ryan Luke Daque: It. The yeah, that’s what I’m looking at. So it does look like it’s it’s different because we are receiving

30 00:04:57.750 00:04:59.270 Ryan Luke Daque: this one.

31 00:04:59.590 00:05:00.760 Nicolas Sucari: Yeah, exactly that. That’s.

32 00:05:00.760 00:05:01.160 Ryan Luke Daque: Yes.

33 00:05:01.160 00:05:02.480 Nicolas Sucari: What I was doing. Yeah.

34 00:05:02.480 00:05:03.080 Ryan Luke Daque: Yeah.

35 00:05:03.450 00:05:04.630 Ryan Luke Daque: So

36 00:05:05.410 00:05:07.039 Ryan Luke Daque: so it might be a different

37 00:05:07.970 00:05:08.950 Ryan Luke Daque: email.

38 00:05:09.880 00:05:11.829 Ryan Luke Daque: Okay, let me set up

39 00:05:13.690 00:05:15.929 Ryan Luke Daque: because this doesn’t have the

40 00:05:16.270 00:05:21.060 Ryan Luke Daque: postcards, calls, orders, revenue roas. It only has, like the price

41 00:05:21.620 00:05:22.969 Ryan Luke Daque: for a campaign.

42 00:05:23.330 00:05:24.160 Ryan Luke Daque: So.

43 00:05:25.110 00:05:27.870 Ryan Luke Daque: and this shows that its conversion date.

44 00:05:28.500 00:05:31.589 Ryan Luke Daque: So I wonder if there’s any other report here.

45 00:05:38.400 00:05:39.490 Ryan Luke Daque: Vi. Pestle

46 00:05:41.060 00:05:43.359 Ryan Luke Daque: look like there’s any other report here.

47 00:05:44.320 00:05:46.449 Ryan Luke Daque: So maybe this is different.

48 00:05:53.800 00:05:57.809 Ryan Luke Daque: Yeah, it’s it’s most likely it’s it’s different. It’s not this one.

49 00:08:37.770 00:08:42.829 Nicolas Sucari: Yeah, okay, apart from that, I just emailed

50 00:08:43.740 00:08:47.390 Nicolas Sucari: her again, so that we can set a meeting

51 00:08:50.510 00:08:57.449 Nicolas Sucari: apart from that. So what we had there on the board. So okay, you already have the customer lifetime value

52 00:08:59.440 00:09:04.549 Nicolas Sucari: and the average customer lifespan. That is, from

53 00:09:05.390 00:09:08.420 Nicolas Sucari: what we talked before. Okay, perfect.

54 00:09:08.460 00:09:10.559 Nicolas Sucari: Go back to the task.

55 00:09:14.733 00:09:15.920 Nicolas Sucari: Wait. Wait.

56 00:09:17.800 00:09:20.547 Nicolas Sucari: Okay. So for for revenue. And Ross

57 00:09:21.330 00:09:24.329 Nicolas Sucari: like, what? What is like the next step on that one.

58 00:09:29.500 00:09:34.049 Ryan Luke Daque: for Facebook and Google, at least, I’ll have to look into

59 00:09:35.250 00:09:38.189 Ryan Luke Daque: the documentation again for Facebook and Google

60 00:09:38.230 00:09:42.190 Ryan Luke Daque: cause currently the data that we have from 5 Tran

61 00:09:42.290 00:09:44.300 Ryan Luke Daque: or Facebook and Google are

62 00:09:44.640 00:09:45.520 Ryan Luke Daque: that it

63 00:09:46.040 00:09:50.279 Ryan Luke Daque: on a campaign level for revenue. So

64 00:09:51.507 00:09:54.379 Ryan Luke Daque: yeah, I’ll see. I’ll try to find a way to.

65 00:09:55.050 00:09:59.530 Ryan Luke Daque: If there’s a way to break it down to the ad level

66 00:09:59.870 00:10:01.210 Ryan Luke Daque: that way, we can.

67 00:10:02.180 00:10:07.609 Ryan Luke Daque: Yeah, we can add it in the combined marketing performance to the ad up to the ad level.

68 00:10:09.590 00:10:10.300 Nicolas Sucari: Okay.

69 00:10:10.700 00:10:11.480 Nicolas Sucari: okay.

70 00:10:13.830 00:10:18.290 Nicolas Sucari: okay, perfect. So I’m checking now the

71 00:10:18.600 00:10:23.130 Nicolas Sucari: average customer lifetime value. So the one that you

72 00:10:23.993 00:10:27.560 Nicolas Sucari: bring us customer life lifespan.

73 00:10:28.050 00:10:31.809 Nicolas Sucari: That is the purchase free frequency, right?

74 00:10:33.320 00:10:33.920 Nicolas Sucari: But.

75 00:10:33.920 00:10:35.190 Ryan Luke Daque: Is, the.

76 00:10:38.070 00:10:39.909 Nicolas Sucari: I’m trying to do cold weight.

77 00:10:40.834 00:10:43.035 Ryan Luke Daque: Yeah, let me let me share my screen again.

78 00:10:43.410 00:10:44.020 Ryan Luke Daque: Cool?

79 00:10:44.020 00:10:47.479 Nicolas Sucari: Revenue, you know. Wait, I can find it here.

80 00:10:49.270 00:10:50.320 Ryan Luke Daque: So

81 00:10:50.340 00:10:53.770 Ryan Luke Daque: I was actually just following the medium.

82 00:10:55.143 00:10:56.570 Ryan Luke Daque: Yeah thing.

83 00:10:56.740 00:10:59.559 Ryan Luke Daque: So according to this one, the the customer

84 00:10:59.630 00:11:04.580 Ryan Luke Daque: average customer lifespan, or like the customer lifespan is basically just the

85 00:11:05.130 00:11:06.869 Ryan Luke Daque: difference between the 1st

86 00:11:07.120 00:11:12.059 Ryan Luke Daque: order, date and the last order date of that specific customer. Right?

87 00:11:12.330 00:11:13.680 Ryan Luke Daque: And this is in days. But.

88 00:11:13.680 00:11:14.390 Nicolas Sucari: So it.

89 00:11:14.940 00:11:16.569 Nicolas Sucari: Where are you?

90 00:11:17.020 00:11:18.840 Nicolas Sucari: How to calculate? Average?

91 00:11:19.860 00:11:21.110 Nicolas Sucari: I don’t know. Where.

92 00:11:21.370 00:11:25.340 Nicolas Sucari: Where is the that link? That’s the one that’s not the one I added to.

93 00:11:25.340 00:11:26.460 Ryan Luke Daque: Yeah. So if you go.

94 00:11:26.460 00:11:28.819 Nicolas Sucari: Oh, yeah, okay. Okay, okay, yeah. I get it here.

95 00:11:28.820 00:11:31.309 Ryan Luke Daque: 5. Yeah, it says, here, yeah.

96 00:11:31.957 00:11:35.630 Ryan Luke Daque: to visit this blog post, how to get the customer.

97 00:11:35.630 00:11:36.959 Nicolas Sucari: Yeah, yeah, perfect. Perfect.

98 00:11:36.960 00:11:38.289 Ryan Luke Daque: So, yeah, this is this, is it.

99 00:11:38.290 00:11:39.320 Nicolas Sucari: Got it? Yeah.

100 00:11:39.320 00:11:46.420 Ryan Luke Daque: So I use this basically to get the average customer lifespan, which is what we are able to see here. But this is

101 00:11:46.510 00:11:49.310 Ryan Luke Daque: I made this in in year, not in day.

102 00:11:49.470 00:11:51.318 Ryan Luke Daque: That’s because it said

103 00:11:52.490 00:11:55.980 Ryan Luke Daque: it needs to be converted to year, if we need.

104 00:11:56.040 00:11:59.430 Ryan Luke Daque: if we need to use it for the customer lifetime. Calculation, right?

105 00:12:00.350 00:12:05.929 Ryan Luke Daque: So so that’s in year. So point 42 years is the average customer lifespan.

106 00:12:06.240 00:12:11.288 Ryan Luke Daque: and then that this one we multiply by.

107 00:12:13.070 00:12:15.059 Ryan Luke Daque: we multiply it by

108 00:12:15.140 00:12:19.100 Ryan Luke Daque: the average customer value. Then we get the customer lifetime value.

109 00:12:19.130 00:12:24.650 Ryan Luke Daque: And the average customer value I used was, this one average order value. Yeah.

110 00:12:25.300 00:12:25.690 Nicolas Sucari: Perfect.

111 00:12:27.000 00:12:28.399 Ryan Luke Daque: This is what we get.

112 00:12:30.000 00:12:30.940 Ryan Luke Daque: Yeah.

113 00:12:30.940 00:12:31.390 Nicolas Sucari: Okay.

114 00:12:31.390 00:12:32.860 Ryan Luke Daque: Good so far.

115 00:12:33.630 00:12:35.560 Ryan Luke Daque: and perhaps you

116 00:12:36.340 00:12:39.019 Ryan Luke Daque: I think we should also already see.

117 00:12:42.270 00:12:43.350 Ryan Luke Daque: Where is that.

118 00:12:44.470 00:12:47.319 Nicolas Sucari: You shopify earlier? I think it was right. I know. Yeah.

119 00:12:47.360 00:12:48.760 Nicolas Sucari: Paid marketing there.

120 00:12:50.920 00:12:52.110 Nicolas Sucari: Dcp.

121 00:12:52.110 00:12:53.600 Ryan Luke Daque: And missed the

122 00:12:55.130 00:12:58.069 Ryan Luke Daque: I think I missed adding it, yeah. So let me see.

123 00:12:58.070 00:12:59.300 Nicolas Sucari: Adidas.

124 00:12:59.320 00:13:02.220 Nicolas Sucari: I think that’s Cpa. Actually

125 00:13:02.610 00:13:03.640 Nicolas Sucari: that

126 00:13:04.000 00:13:14.769 Nicolas Sucari: cost per like. I just mentioned Kim like the what was the naming that we should use? And she just she just asked me to

127 00:13:15.160 00:13:23.210 Nicolas Sucari: don’t use Cpc, because Cpc is confusing because she thinks about that as cost per click. And we are not using clicks. We are using conversions.

128 00:13:23.370 00:13:32.870 Nicolas Sucari: So let’s leave it as Cpa, if you want. But let’s use the the measures that we set total spend over conversions. Okay.

129 00:13:33.590 00:13:34.320 Ryan Luke Daque: Right?

130 00:13:34.600 00:13:44.319 Ryan Luke Daque: Yeah, I’ll I’ll update it. I don’t. I think I missed this updating the real part on on that one. But yeah, it should already be in the models, though. In the Pr.

131 00:13:45.377 00:13:48.579 Ryan Luke Daque: Yeah, we should already have the cost

132 00:13:48.600 00:13:49.810 Ryan Luke Daque: revenue

133 00:13:49.840 00:13:51.529 Ryan Luke Daque: and Cpc, so

134 00:13:51.690 00:13:53.959 Ryan Luke Daque: I mean the revenue Roas and Cpc.

135 00:13:54.160 00:13:57.090 Ryan Luke Daque: But I wasn’t able to update the

136 00:13:57.900 00:13:58.739 Ryan Luke Daque: the real part.

137 00:13:58.740 00:14:03.350 Nicolas Sucari: Yeah, in the Mars. You have it here. Yeah, yeah, yeah. You have it as Cpc.

138 00:14:03.700 00:14:04.149 Ryan Luke Daque: It’s check.

139 00:14:04.150 00:14:06.080 Nicolas Sucari: Change data. Cpa, if you want.

140 00:14:06.080 00:14:08.090 Ryan Luke Daque: Yep, we’ll do that.

141 00:14:09.050 00:14:14.440 Nicolas Sucari: Perfect. Yeah, okay, there are a bunch of lines that we need to replace. Cpc for Cpa, Amc.

142 00:14:15.080 00:14:15.720 Ryan Luke Daque: Yeah.

143 00:14:17.240 00:14:17.930 Nicolas Sucari: Okay.

144 00:14:24.800 00:14:25.919 Nicolas Sucari: Easy. One.

145 00:14:29.890 00:14:33.919 Ryan Luke Daque: And this is being used by this one

146 00:14:34.190 00:14:34.860 Ryan Luke Daque: right.

147 00:14:34.860 00:14:35.570 Nicolas Sucari: Yeah.

148 00:14:35.920 00:14:36.810 Ryan Luke Daque: Yeah, exactly.

149 00:14:36.810 00:14:38.020 Nicolas Sucari: So we need to add it. There.

150 00:14:38.020 00:14:40.509 Ryan Luke Daque: See, I’ll have to add it here.

151 00:14:50.270 00:14:51.969 Ryan Luke Daque: so I guess this would be.

152 00:14:54.590 00:14:55.570 Nicolas Sucari: That would be.

153 00:14:55.570 00:14:57.170 Ryan Luke Daque: Yes. Yeah.

154 00:14:57.170 00:14:59.749 Nicolas Sucari: It’s okay. Some of cost. That’s okay.

155 00:15:00.870 00:15:03.189 Nicolas Sucari: Okay, okay. You already have the Cpa, yeah.

156 00:15:03.360 00:15:04.100 Ryan Luke Daque: Yeah.

157 00:15:05.680 00:15:08.710 Ryan Luke Daque: And then we also need the revenue

158 00:15:10.980 00:15:13.300 Ryan Luke Daque: and draw us.

159 00:15:26.320 00:15:28.330 Ryan Luke Daque: But I don’t think.

160 00:15:30.520 00:15:33.575 Nicolas Sucari: The Cpa is okay, to be a sum, or it should be

161 00:15:35.260 00:15:41.379 Ryan Luke Daque: Yeah, I’m thinking about it because it’s it’s cost per conversion. So we might.

162 00:15:42.392 00:15:46.379 Ryan Luke Daque: In this case, I guess we need to add the conversion.

163 00:15:46.920 00:15:50.869 Ryan Luke Daque: so that it would be like cost divided by conversions.

164 00:15:51.930 00:15:55.180 Ryan Luke Daque: Yeah, it could be a yeah. So

165 00:16:04.450 00:16:05.740 Ryan Luke Daque: Yup, that

166 00:16:05.960 00:16:06.730 Ryan Luke Daque: shit.

167 00:16:09.940 00:16:11.740 Nicolas Sucari: But you already have conversions.

168 00:16:12.603 00:16:14.170 Nicolas Sucari: No, you don’t have it. Okay, okay.

169 00:16:14.170 00:16:15.059 Ryan Luke Daque: No, I don’t.

170 00:16:27.920 00:16:29.300 Nicolas Sucari: Okay, perfect.

171 00:16:30.580 00:16:33.670 Ryan Luke Daque: Yeah, homes and ads. I don’t think we have

172 00:16:34.980 00:16:36.090 Ryan Luke Daque: no

173 00:16:41.950 00:16:42.750 Ryan Luke Daque: or

174 00:16:46.200 00:16:47.410 Ryan Luke Daque: just well.

175 00:18:18.241 00:18:25.069 Ryan Luke Daque: yeah, I’ll I’ll I’ll continue working on this. But the other things that are still on my

176 00:18:25.720 00:18:27.220 Ryan Luke Daque: plate is, yes.

177 00:18:28.410 00:18:32.790 Ryan Luke Daque: yeah, migrating the email data. So I’m still waiting for the new

178 00:18:33.530 00:18:37.160 Ryan Luke Daque: other other new tables here. I’m also like wondering cause.

179 00:18:37.410 00:18:38.510 Ryan Luke Daque: I think

180 00:18:38.590 00:18:39.669 Ryan Luke Daque: Uta mentioned

181 00:18:40.590 00:18:41.550 Ryan Luke Daque: that

182 00:18:43.000 00:18:45.500 Ryan Luke Daque: Eunice was already there.

183 00:18:46.110 00:18:47.620 Ryan Luke Daque: he said. It’s done.

184 00:18:47.780 00:18:49.590 Ryan Luke Daque: but I don’t see it anywhere

185 00:18:49.720 00:18:51.010 Ryan Luke Daque: as well as

186 00:18:52.170 00:18:54.729 Ryan Luke Daque: attentive campaigns spent.

187 00:18:55.170 00:18:57.699 Ryan Luke Daque: and he’s still currently working on.

188 00:18:58.070 00:19:02.819 Ryan Luke Daque: Oh, he just merged it today. So I guess I just now. So I guess

189 00:19:03.270 00:19:04.460 Ryan Luke Daque: this would show up.

190 00:19:06.325 00:19:06.900 Nicolas Sucari: Yeah.

191 00:19:08.470 00:19:12.669 Ryan Luke Daque: So I can. I can continue working on this as soon as I see them.

192 00:19:14.180 00:19:14.970 Ryan Luke Daque: Here.

193 00:19:15.410 00:19:16.376 Ryan Luke Daque: But yeah.

194 00:19:16.940 00:19:22.820 Ryan Luke Daque: I continue working on this for the email, the what do you call this? The migration for email data.

195 00:19:22.820 00:19:24.340 Nicolas Sucari: Yeah, okay, perfect.

196 00:19:24.340 00:19:25.050 Ryan Luke Daque: And

197 00:19:25.920 00:19:27.350 Ryan Luke Daque: I think there’s

198 00:19:27.380 00:19:31.930 Ryan Luke Daque: the other one, this one. This is what we talked about the missing conversions

199 00:19:32.683 00:19:38.070 Ryan Luke Daque: in the email for Jane. And then this one is the other one that I’m I’ll be working on.

200 00:19:38.210 00:19:39.329 Ryan Luke Daque: Haven’t started. Yeah.

201 00:19:39.330 00:19:40.410 Nicolas Sucari: Perfect.

202 00:19:40.480 00:19:52.829 Nicolas Sucari: Yeah, don’t worry about the the other meeting. It’s just to. So Raj is joining the team to take on everything on the analysis side and visualization. We’re trying to get

203 00:19:52.910 00:19:55.480 Nicolas Sucari: better reports, and he will be owning

204 00:19:55.530 00:20:00.539 Nicolas Sucari: all of the the analysis, and probably he will be working on some

205 00:20:00.670 00:20:03.328 Nicolas Sucari: moulding to to help us.

206 00:20:03.990 00:20:12.889 Nicolas Sucari: But yeah, the idea was just to like a quick onboarding with him, and if he has any other any questions on the data modeling stuff he can ask you.

207 00:20:13.240 00:20:14.770 Ryan Luke Daque: Cool, sounds good.

208 00:20:14.890 00:20:15.880 Ryan Luke Daque: sure.

209 00:20:15.880 00:20:16.580 Nicolas Sucari: Perfect.

210 00:20:17.180 00:20:18.919 Nicolas Sucari: Okay, thanks. Ryan.

211 00:20:18.920 00:20:23.349 Ryan Luke Daque: Thanks. See you see you in the next meeting. Thanks, bye.