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


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1 00:03:05.260 00:03:05.970 Ryan Luke Daque: Hello!

2 00:03:08.520 00:03:09.450 Nicolas Sucari: Hi! Ryan.

3 00:03:09.860 00:03:12.010 Ryan Luke Daque: Hi, Nicholas, how’s everything?

4 00:03:13.240 00:03:14.790 Nicolas Sucari: All good. How are you.

5 00:03:15.730 00:03:17.069 Ryan Luke Daque: Yeah, everything’s good.

6 00:03:19.200 00:03:22.311 Ryan Luke Daque: Yeah. I just wanted to.

7 00:03:22.850 00:03:25.400 Ryan Luke Daque: catch up with you on like, what?

8 00:03:26.230 00:03:30.719 Ryan Luke Daque: Or have I? I have some few questions or like clarifications for the

9 00:03:32.440 00:03:35.060 Ryan Luke Daque: the task, basically to add.

10 00:03:35.570 00:03:38.280 Ryan Luke Daque: So let me just share my screen.

11 00:03:39.100 00:03:39.860 Ryan Luke Daque: Yeah.

12 00:03:45.140 00:03:46.730 Ryan Luke Daque: are you able to see my screen.

13 00:03:48.530 00:03:49.200 Nicolas Sucari: Yes.

14 00:03:50.240 00:03:50.850 Ryan Luke Daque: So.

15 00:03:51.520 00:03:52.360 Ryan Luke Daque: yeah.

16 00:03:52.500 00:03:55.429 Ryan Luke Daque: so I was trying to do this.

17 00:03:56.050 00:03:57.360 Ryan Luke Daque: And

18 00:03:58.690 00:03:59.980 Ryan Luke Daque: so there’s a couple of

19 00:04:00.830 00:04:02.749 Ryan Luke Daque: problems that we have

20 00:04:03.160 00:04:04.200 Ryan Luke Daque: for this one.

21 00:04:04.200 00:04:04.830 Nicolas Sucari: Hey!

22 00:04:05.100 00:04:08.250 Ryan Luke Daque: So for 1st 4, 1

23 00:04:09.580 00:04:14.320 Ryan Luke Daque: like cost per acquisition and customer lifetime value are

24 00:04:15.708 00:04:18.459 Ryan Luke Daque: mean. We need to tie up

25 00:04:19.320 00:04:20.420 Ryan Luke Daque: the

26 00:04:20.620 00:04:22.700 Ryan Luke Daque: metrics that we have for

27 00:04:25.200 00:04:29.239 Ryan Luke Daque: the or the measures that we we have in the paid arts, marketing.

28 00:04:29.240 00:04:29.560 Nicolas Sucari: How do I?

29 00:04:29.560 00:04:30.010 Ryan Luke Daque: To.

30 00:04:30.010 00:04:31.460 Nicolas Sucari: The customers right?

31 00:04:32.210 00:04:40.620 Nicolas Sucari: The Cpa. I mean the cost per acquisition. It’s like total marketing spend over conversions. That’s the formula

32 00:04:41.310 00:04:47.020 Nicolas Sucari: we, I think we have the the amount, the cost of each of the campaigns right

33 00:04:47.230 00:04:48.170 Nicolas Sucari: through time.

34 00:04:49.920 00:04:52.610 Ryan Luke Daque: So that would be. Let me just add it here.

35 00:04:53.630 00:04:54.550 Ryan Luke Daque: We’re now.

36 00:04:54.850 00:04:56.270 Ryan Luke Daque: so cost

37 00:04:57.500 00:05:00.169 Ryan Luke Daque: the over over conversions right.

38 00:05:00.420 00:05:03.199 Nicolas Sucari: Yeah, that’s Cpa, excellent. Yeah.

39 00:05:04.680 00:05:06.269 Ryan Luke Daque: I thought this was.

40 00:05:06.730 00:05:11.339 Ryan Luke Daque: yeah, I thought this was a cause. This, yeah, I thought this was the same as

41 00:05:11.850 00:05:14.310 Ryan Luke Daque: customer acquisition cost right like cost per click.

42 00:05:14.310 00:05:14.970 Nicolas Sucari: Yeah.

43 00:05:15.670 00:05:22.850 Nicolas Sucari: The the difference is that the that the customer acquisition cost?

44 00:05:23.030 00:05:32.350 Nicolas Sucari: Yeah, it’s it’s almost the same. The difference is probably that Cpa. Involves only conversions and not relates to. Only

45 00:05:32.770 00:05:38.790 Nicolas Sucari: okay, probably. Yes, it’s kind of the same, but it it doesn’t relate to identifying the customer as new.

46 00:05:38.910 00:05:44.319 Nicolas Sucari: So probably the Cpa should be like cost per conversion instead of Cpa, yeah, you’re right.

47 00:05:44.370 00:05:45.909 Nicolas Sucari: We can edit that one

48 00:05:46.030 00:05:48.829 Nicolas Sucari: we can name. It cost per conversion if you want.

49 00:05:48.870 00:05:52.349 Nicolas Sucari: because I don’t. I don’t think we have that one right.

50 00:05:52.350 00:05:55.279 Ryan Luke Daque: Yeah, yeah, I don’t think we have that one as well

51 00:05:55.380 00:06:05.900 Ryan Luke Daque: for now. But I think we have conversions already. Yeah, I’ll I’ll take a look at the raw sources. I think we have conversions, because even in Kim’s Weekly report.

52 00:06:06.841 00:06:10.090 Ryan Luke Daque: I think we have conversions. Yeah.

53 00:06:11.720 00:06:15.490 Ryan Luke Daque: yeah, we have conversions, at least for Google, ads. And.

54 00:06:15.490 00:06:16.030 Nicolas Sucari: Facebook.

55 00:06:16.030 00:06:16.890 Ryan Luke Daque: That’s.

56 00:06:17.980 00:06:22.980 Nicolas Sucari: And also we should have it for direct mail. I think we should have the 2. But yeah, that’s fine.

57 00:06:23.800 00:06:24.700 Ryan Luke Daque: Yeah, anyway.

58 00:06:25.039 00:06:26.740 Nicolas Sucari: Revenue, and we have cost.

59 00:06:27.140 00:06:30.109 Nicolas Sucari: We need to see if we have a conversion.

60 00:06:30.110 00:06:30.620 Ryan Luke Daque: We need we need.

61 00:06:30.620 00:06:31.210 Nicolas Sucari: Yeah, that’s okay.

62 00:06:31.210 00:06:32.560 Ryan Luke Daque: Conversions.

63 00:06:32.780 00:06:35.989 Ryan Luke Daque: But anyway, yeah, at least we.

64 00:06:35.990 00:06:37.100 Nicolas Sucari: Yeah, let’s.

65 00:06:37.840 00:06:39.230 Ryan Luke Daque: Facebook and.

66 00:06:39.790 00:06:43.080 Nicolas Sucari: Yeah. And let’s rename it, let’s say, cost per conversion. If you want.

67 00:06:43.080 00:06:44.700 Ryan Luke Daque: Okay. Yeah. Okay.

68 00:06:44.700 00:06:47.739 Nicolas Sucari: You want me. I I can. I can edit that one.

69 00:06:48.030 00:06:51.040 Nicolas Sucari: and the Github issue cost per conversion.

70 00:06:51.340 00:06:52.170 Ryan Luke Daque: Yeah. Sure.

71 00:06:53.860 00:06:54.420 Ryan Luke Daque: Cp.

72 00:06:54.420 00:06:55.660 Nicolas Sucari: I see. Okay.

73 00:06:57.570 00:06:59.819 Nicolas Sucari: you should see. Yeah, there.

74 00:07:01.970 00:07:03.880 Ryan Luke Daque: So yeah, the next one.

75 00:07:05.010 00:07:07.990 Ryan Luke Daque: Well, return of yeah on ad spend, we, we can

76 00:07:08.500 00:07:11.970 Ryan Luke Daque: as long as we have this like for direct mail. We do.

77 00:07:13.040 00:07:15.540 Ryan Luke Daque: I? And I think for

78 00:07:20.300 00:07:23.500 Ryan Luke Daque: yeah, I think we have this for direct mail. But I think for.

79 00:07:24.570 00:07:26.829 Ryan Luke Daque: and we also have its own incentive.

80 00:07:27.650 00:07:32.590 Nicolas Sucari: Yeah, it’s almost the same as the cost per conversion. But instead of conversion is using revenue.

81 00:07:34.360 00:07:35.010 Ryan Luke Daque: Right.

82 00:07:35.490 00:07:37.929 Ryan Luke Daque: which I don’t think we have in

83 00:07:38.310 00:07:39.330 Ryan Luke Daque: Facebook, right.

84 00:07:39.330 00:07:40.830 Nicolas Sucari: Don’t have it in Facebook.

85 00:07:49.550 00:07:50.680 Ryan Luke Daque: Yeah, we have cost.

86 00:07:50.680 00:07:52.050 Nicolas Sucari: Have clicks.

87 00:07:52.780 00:07:53.379 Ryan Luke Daque: Oh, I think.

88 00:07:53.380 00:07:54.919 Nicolas Sucari: We have impressions.

89 00:07:55.560 00:07:57.780 Ryan Luke Daque: Yeah, we don’t. We don’t have revenue.

90 00:07:58.760 00:08:02.680 Ryan Luke Daque: but we were able to get it for games weekly report.

91 00:08:03.430 00:08:04.969 Nicolas Sucari: Yeah, exactly. That’s why.

92 00:08:04.970 00:08:07.289 Ryan Luke Daque: However, it’s it’s on

93 00:08:08.590 00:08:09.630 Ryan Luke Daque: just on a

94 00:08:10.090 00:08:15.300 Ryan Luke Daque: campaign level. So the the highest level. We don’t have the conversions per

95 00:08:15.540 00:08:16.949 Ryan Luke Daque: add group and

96 00:08:17.200 00:08:18.370 Ryan Luke Daque: add id

97 00:08:18.520 00:08:22.399 Ryan Luke Daque: ad, basically, because in the combined marketing

98 00:08:23.300 00:08:26.039 Ryan Luke Daque: it has add, set and add.

99 00:08:26.060 00:08:27.170 Ryan Luke Daque: which are like.

100 00:08:29.017 00:08:31.160 Ryan Luke Daque: what do you call this? Like a a.

101 00:08:31.840 00:08:32.630 Nicolas Sucari: Yeah, yeah.

102 00:08:33.039 00:08:33.999 Ryan Luke Daque: Smaller

103 00:08:34.669 00:08:36.989 Ryan Luke Daque: campaign, because this is like the high level.

104 00:08:37.620 00:08:39.019 Nicolas Sucari: Yeah, yeah, okay, get it?

105 00:08:39.020 00:08:41.520 Ryan Luke Daque: So we won’t be. We’re able to break it down

106 00:08:42.659 00:08:44.150 Ryan Luke Daque: per ad set and add

107 00:08:45.710 00:08:46.679 Ryan Luke Daque: add name.

108 00:08:48.230 00:08:52.040 Nicolas Sucari: Okay, but we can have it for campaign name, like, for by by campaign.

109 00:08:52.660 00:08:54.609 Ryan Luke Daque: Yes, we can.

110 00:08:55.300 00:09:01.046 Nicolas Sucari: And I think what it? What? Yeah, I think it will be good to have it by campaign, and then, like

111 00:09:01.590 00:09:05.829 Nicolas Sucari: like an overall measure like adding several campaigns

112 00:09:06.430 00:09:12.519 Nicolas Sucari: so that you can see the the Roas on more than one campaign, probably like, because

113 00:09:13.250 00:09:34.830 Nicolas Sucari: I think probably they run different campaigns, but like they, they group different campaigns on. I don’t know. They run a campaign on one certain product and 2 different campaigns on other certain products. Probably we can group that campaigns. So I think it’s okay. I mean, if we can get the rules for per campaign, it’s it’s fine. We don’t need to go like

114 00:09:34.890 00:09:37.150 Nicolas Sucari: too granular to add names.

115 00:09:37.860 00:09:39.769 Ryan Luke Daque: Sounds good. Yeah, we can do that. Then.

116 00:09:40.590 00:09:41.310 Nicolas Sucari: Perfect.

117 00:09:41.310 00:09:42.770 Ryan Luke Daque: And yeah, sure

118 00:09:43.220 00:09:43.879 Ryan Luke Daque: and and.

119 00:09:43.880 00:09:44.850 Nicolas Sucari: Same with revenue.

120 00:09:44.850 00:09:46.060 Ryan Luke Daque: Yeah. Yeah.

121 00:09:46.430 00:09:54.550 Ryan Luke Daque: And then, so for customer lifetime value. However, this would mean, we need to be able to tie up the ad

122 00:09:55.490 00:09:57.419 Ryan Luke Daque: metrics to the customer.

123 00:09:58.130 00:09:59.379 Ryan Luke Daque: which would be

124 00:09:59.800 00:10:01.740 Ryan Luke Daque: I. We can get the

125 00:10:01.770 00:10:04.969 Ryan Luke Daque: customer lifetime value, but not on a per

126 00:10:08.840 00:10:09.700 Ryan Luke Daque: per ad

127 00:10:09.970 00:10:14.439 Ryan Luke Daque: like we. We wouldn’t know if that customer was coming from Facebook or

128 00:10:14.770 00:10:18.009 Ryan Luke Daque: coming from a Google Ad. Or coming from a direct mail

129 00:10:18.710 00:10:19.410 Ryan Luke Daque: right.

130 00:10:21.220 00:10:21.720 Nicolas Sucari: Okay.

131 00:10:21.720 00:10:22.230 Ryan Luke Daque: But.

132 00:10:22.230 00:10:22.850 Nicolas Sucari: Yeah, we can.

133 00:10:22.850 00:10:23.500 Ryan Luke Daque: Yeah.

134 00:10:23.500 00:10:24.210 Nicolas Sucari: I.

135 00:10:24.380 00:10:26.930 Nicolas Sucari: Why is that? I mean we don’t have

136 00:10:27.110 00:10:29.200 Nicolas Sucari: the amount of orders per

137 00:10:29.640 00:10:30.520 Nicolas Sucari: channel.

138 00:10:31.720 00:10:33.149 Ryan Luke Daque: Yeah, cause they’re separate.

139 00:10:34.115 00:10:34.470 Ryan Luke Daque: Okay.

140 00:10:34.470 00:10:35.030 Nicolas Sucari: Yeah, I get it.

141 00:10:35.030 00:10:35.960 Ryan Luke Daque: Sources, right.

142 00:10:35.960 00:10:36.619 Nicolas Sucari: I, yeah.

143 00:10:36.620 00:10:40.456 Ryan Luke Daque: Like we, our orders are coming from like shopify or

144 00:10:41.240 00:10:47.890 Ryan Luke Daque: yeah. And and in shopify, we do don’t know if the customer is coming from Facebook ads, like, you’re right. So

145 00:10:48.060 00:10:51.169 Ryan Luke Daque: that would be the the tricky part. Yeah.

146 00:10:51.950 00:10:55.220 Nicolas Sucari: Yeah, but and and what if we don’t like we we can.

147 00:10:55.340 00:10:57.740 Nicolas Sucari: We can get the metric

148 00:10:58.680 00:11:02.769 Nicolas Sucari: for yeah, for shopify or Amazon, but not like linked it to

149 00:11:02.780 00:11:04.086 Nicolas Sucari: the ad.

150 00:11:04.740 00:11:05.979 Ryan Luke Daque: Yeah, we can.

151 00:11:05.980 00:11:08.070 Nicolas Sucari: Link it to the ad. I think we can do that right.

152 00:11:08.070 00:11:15.789 Ryan Luke Daque: We can have as customer lifetime value, but not in combined marketing performance. Maybe we can add it to customers.

153 00:11:16.000 00:11:16.990 Ryan Luke Daque: Yeah, yeah, exactly.

154 00:11:16.990 00:11:19.010 Nicolas Sucari: Exactly. Yeah. I think that okay, perfect.

155 00:11:19.010 00:11:19.330 Ryan Luke Daque: Yeah.

156 00:11:19.330 00:11:19.949 Nicolas Sucari: Yeah, let’s do that.

157 00:11:19.950 00:11:22.219 Ryan Luke Daque: Shopify customers or something here.

158 00:11:22.530 00:11:29.310 Nicolas Sucari: Because we we added a lifetime value. Do you remember that we added the lifetime value measure that we have? But that’s not like

159 00:11:29.590 00:11:40.300 Nicolas Sucari: it’s not representing what Kim is looking for. That’s what she explained, because the lifetime value that we are showing in real. Let me look into real

160 00:11:40.410 00:11:43.019 Nicolas Sucari: like he’s giving some like

161 00:11:43.380 00:11:44.760 Nicolas Sucari: real. Yeah.

162 00:11:45.190 00:11:54.629 Nicolas Sucari: it’s like, the amount that that measure is giving is like too much. I think I think we have that to all orders, or should we say customers? I don’t remember.

163 00:11:56.390 00:12:05.950 Nicolas Sucari: I think it was shopify shopify customers. Yeah, we added a lifetime value in shopify customers, and that is kind of doing that. Some, I think. And we should add.

164 00:12:06.070 00:12:09.979 Nicolas Sucari: it’s more like an average the the measure.

165 00:12:11.390 00:12:13.369 Nicolas Sucari: because if you, if you.

166 00:12:13.480 00:12:17.060 Nicolas Sucari: if you went through the that link that I left there

167 00:12:17.230 00:12:18.400 Nicolas Sucari: team shared.

168 00:12:18.500 00:12:27.889 Nicolas Sucari: It’s kind of an average like the formula is like the total sales over total orders. And that’s the average order value that we have already that measure

169 00:12:27.920 00:12:30.000 Nicolas Sucari: average or their value, I think.

170 00:12:30.090 00:12:35.410 Nicolas Sucari: And then he’s doing is calculating the average purchase frequency.

171 00:12:35.988 00:12:45.949 Nicolas Sucari: I don’t think we have that one, but that is just total orders over total customers. I think we can easily get the average purchase frequency right.

172 00:12:46.260 00:12:46.980 Ryan Luke Daque: Yeah.

173 00:12:48.090 00:12:51.100 Nicolas Sucari: And then it’s just doing, yeah.

174 00:12:51.560 00:12:54.649 Ryan Luke Daque: Yeah, that makes sense, we can. We can. We can add that here. So

175 00:12:55.000 00:12:57.960 Ryan Luke Daque: where’s the lifetime value? They did so.

176 00:12:57.960 00:12:59.670 Nicolas Sucari: On the left. It’s a measure. Yeah.

177 00:12:59.670 00:13:02.780 Ryan Luke Daque: I see. And this is for everything. And this is.

178 00:13:03.050 00:13:10.269 Ryan Luke Daque: yeah, this is not the average per customer, basically. So yeah, we can add another measure here.

179 00:13:10.360 00:13:11.849 Ryan Luke Daque: Yeah, sounds good, then.

180 00:13:12.260 00:13:14.130 Ryan Luke Daque: so perfect. Yeah.

181 00:13:14.350 00:13:16.169 Ryan Luke Daque: you can do that. I can

182 00:13:16.550 00:13:20.930 Ryan Luke Daque: add that here. So basically, these 3 would be in the combined metrics.

183 00:13:21.310 00:13:24.050 Ryan Luke Daque: but this one would be in shopify

184 00:13:24.440 00:13:26.210 Ryan Luke Daque: customers.

185 00:13:27.310 00:13:27.970 Ryan Luke Daque: cool.

186 00:13:27.970 00:13:28.660 Nicolas Sucari: Okay?

187 00:13:28.800 00:13:35.880 Nicolas Sucari: And if you want to check that lifetime value that we have like that measure is is doing like the sum of the

188 00:13:36.190 00:13:37.990 Nicolas Sucari: item sale price.

189 00:13:39.480 00:13:40.349 Nicolas Sucari: I don’t know.

190 00:13:40.350 00:13:42.633 Ryan Luke Daque: It’s just the sum of

191 00:13:46.510 00:13:50.440 Ryan Luke Daque: Yeah, I think that’s just the sum of it’s a total.

192 00:13:50.440 00:13:51.070 Nicolas Sucari: Probably.

193 00:13:51.070 00:13:51.970 Ryan Luke Daque: Amount, that.

194 00:13:51.970 00:13:52.980 Nicolas Sucari: It is. Yeah.

195 00:13:52.980 00:13:54.380 Ryan Luke Daque: Or something? Yeah.

196 00:13:54.380 00:14:01.640 Nicolas Sucari: Yeah, that’s that. That’s that’s why I I think we can get rid of that measure and replace it with the one that we are talking about. Okay.

197 00:14:01.890 00:14:04.570 Ryan Luke Daque: Okay makes sense. I’ll just remove this. Then.

198 00:14:05.430 00:14:06.700 Nicolas Sucari: Excellent great.

199 00:14:06.870 00:14:12.050 Nicolas Sucari: Yeah, it it makes sense to. I I will discuss with the team on how to

200 00:14:12.544 00:14:24.859 Nicolas Sucari: yeah, how we are gonna name instead of Cpa, we’re gonna use Cpc for cost per conversion. So that we directly point to what we are using there. And we’re gonna try to get the customer lifetime value.

201 00:14:24.880 00:14:36.539 Nicolas Sucari: As she mentioned. I think we can do that. It’s easy, but we are. Gonna add it on the other report. Because it. It’s okay. It it don’t have like. It doesn’t have anything to do with the

202 00:14:37.037 00:14:48.850 Nicolas Sucari: Marketing campaigns, because we cannot relate, shopify and and Amazon to the ads. So that’s correct. I’m gonna set that. And on the revenue stuff, I think it’s okay, too. So yeah, yeah.

203 00:14:49.260 00:14:51.049 Nicolas Sucari: I think we’re all we’re almost there.

204 00:14:51.780 00:14:57.979 Nicolas Sucari: Yeah. And there is one more thing that I was. Just you remember I was asking about post pilot about

205 00:14:58.150 00:14:59.560 Nicolas Sucari: the

206 00:15:00.100 00:15:03.710 Nicolas Sucari: direct reports that we are getting that the conversion list

207 00:15:03.730 00:15:07.719 Nicolas Sucari: was giving us misleading revenue information.

208 00:15:08.510 00:15:12.290 Ryan Luke Daque: Right? Yeah, it was like 0 for the past month or something.

209 00:15:12.900 00:15:18.220 Nicolas Sucari: Exactly. Yeah, she answered. The post pilot account manager, she answered, that

210 00:15:18.330 00:15:21.989 Nicolas Sucari: we are like the email report checks

211 00:15:22.090 00:15:24.619 Nicolas Sucari: orders based on the postcard date.

212 00:15:25.030 00:15:26.540 Nicolas Sucari: That’s what she said.

213 00:15:26.730 00:15:36.809 Nicolas Sucari: but I don’t know why. It’s like we are checking postcard date. I don’t know what a postcard date is. I mean, I think each of the campaigns has a postcard, and each of the ad that

214 00:15:36.970 00:15:41.689 Nicolas Sucari: any customer sees has a different postcard, so I don’t know why it’s checking that.

215 00:15:41.780 00:15:45.410 Nicolas Sucari: and not directly. The order date right?

216 00:15:48.870 00:15:49.190 Ryan Luke Daque: One.

217 00:15:49.190 00:15:50.989 Nicolas Sucari: And I’m gonna ask this one.

218 00:15:52.390 00:15:53.390 Nicolas Sucari: Yeah, but.

219 00:15:53.390 00:15:55.670 Ryan Luke Daque: Is postcard date like this?

220 00:15:55.990 00:15:56.830 Ryan Luke Daque: No, it.

221 00:15:58.310 00:16:01.389 Nicolas Sucari: Yeah, I don’t know. That’s what I’m trying to understand.

222 00:16:01.660 00:16:06.010 Nicolas Sucari: I don’t know if that is postcard date, or it’s like the order date.

223 00:16:07.800 00:16:08.500 Ryan Luke Daque: That’s the difference.

224 00:16:08.500 00:16:14.840 Nicolas Sucari: That we have from the conversion list that she’s sharing, that they have on the post pilot.

225 00:16:15.360 00:16:20.680 Ryan Luke Daque: I see. So I guess we can check. Yeah, I can check post pilot. I think this.

226 00:16:22.200 00:16:23.989 Ryan Luke Daque: do you have access to.

227 00:16:23.990 00:16:30.849 Nicolas Sucari: Like who who is creating that report that gets sent to us. We have access to how that is configured or not.

228 00:16:31.240 00:16:35.599 Ryan Luke Daque: I’m not sure I haven’t logged into post pilot yet, but I think this one.

229 00:16:35.600 00:16:38.449 Nicolas Sucari: I’m I’m logged in. I can show you if you want.

230 00:16:39.810 00:16:40.460 Ryan Luke Daque: Yeah, sure.

231 00:16:40.460 00:16:41.079 Nicolas Sucari: I can. I can!

232 00:16:41.080 00:16:43.220 Ryan Luke Daque: Yes, I can also log in here.

233 00:16:43.220 00:16:43.960 Nicolas Sucari: Yeah.

234 00:16:44.160 00:16:49.099 Nicolas Sucari: okay, probably we have, like an automatic flow or integration really created right?

235 00:16:49.530 00:16:57.280 Ryan Luke Daque: Yeah, I think Utam created this before, and he just made it like auto sent to the slack channel. So

236 00:16:57.420 00:17:00.590 Ryan Luke Daque: we can find, maybe here in the reports.

237 00:17:03.790 00:17:05.249 Nicolas Sucari: I don’t think it’s here.

238 00:17:06.970 00:17:11.199 Ryan Luke Daque: So, yeah, I wonder how maybe flows.

239 00:17:15.599 00:17:18.139 Nicolas Sucari: And probably we need to ask them right?

240 00:17:18.569 00:17:19.659 Ryan Luke Daque: Yeah, we can check

241 00:17:19.879 00:17:20.919 Ryan Luke Daque: without

242 00:17:21.819 00:17:23.419 Ryan Luke Daque: integrations.

243 00:17:26.269 00:17:29.229 Ryan Luke Daque: Yeah, we’ll check with. We can check with Utam, like, how

244 00:17:29.459 00:17:33.579 Ryan Luke Daque: he got this data from post pilot. And

245 00:17:37.969 00:17:39.239 Ryan Luke Daque: yeah, I wonder if.

246 00:17:39.649 00:17:41.999 Ryan Luke Daque: like this, this is already in

247 00:17:42.989 00:17:44.319 Ryan Luke Daque: 5 grand right?

248 00:17:48.569 00:17:49.879 Ryan Luke Daque: I think, he already added.

249 00:17:50.250 00:17:51.309 Ryan Luke Daque: I don’t mean

250 00:17:52.360 00:17:53.933 Ryan Luke Daque: 5 grand

251 00:17:55.340 00:17:56.460 Ryan Luke Daque: email.

252 00:17:57.920 00:18:01.239 Ryan Luke Daque: Yeah, they’re they’re supposed pilot already. So I guess we can check

253 00:18:01.720 00:18:04.069 Ryan Luke Daque: how he made. He did that here.

254 00:18:13.480 00:18:20.630 Nicolas Sucari: I I haven’t seen this. This is my 1st time looking at 5 chart. But that’s okay. What is that day?

255 00:18:20.630 00:18:21.730 Ryan Luke Daque: Yeah.

256 00:18:22.270 00:18:25.309 Ryan Luke Daque: this, it doesn’t say, how.

257 00:18:32.560 00:18:34.419 Ryan Luke Daque: Yeah, I think this is just the

258 00:18:35.220 00:18:37.429 Ryan Luke Daque: this is just coming from the email.

259 00:18:38.960 00:18:42.119 Ryan Luke Daque: So we we won’t be able to see how it’s being set up

260 00:18:42.260 00:18:45.619 Ryan Luke Daque: at all. So maybe I still need to ask them about it.

261 00:18:46.730 00:18:48.490 Nicolas Sucari: Yeah. Okay. I’ll ask them.

262 00:18:50.970 00:18:51.760 Nicolas Sucari: okay.

263 00:18:52.150 00:18:52.850 Nicolas Sucari: yeah,

264 00:18:53.550 00:18:54.430 Ryan Luke Daque: Sounds good.

265 00:18:54.430 00:19:06.919 Nicolas Sucari: One more question. Yeah, don’t worry. That’s perfect. I mean, if you have any other question, let me know. Just I wanna ask, are you gonna be like trying to close this one today is something that you can.

266 00:19:07.660 00:19:16.120 Ryan Luke Daque: Yeah, this is my goal today. Yeah, hopefully, before the the meeting we have at one o’clock, or like, in in 3 h. Yeah.

267 00:19:16.390 00:19:17.220 Ryan Luke Daque: yeah.

268 00:19:17.800 00:19:19.220 Ryan Luke Daque: Yeah. Now, it should be me.

269 00:19:19.230 00:19:20.690 Ryan Luke Daque: Okay, should be good.

270 00:19:21.750 00:19:25.749 Nicolas Sucari: Perfect. Thank you, Ryan. Let’s talk if you need anything else. Okay.

271 00:19:26.320 00:19:27.670 Ryan Luke Daque: Sure! Thanks.

272 00:19:28.540 00:19:29.159 Nicolas Sucari: Bye, bye.

273 00:19:29.380 00:19:29.949 Ryan Luke Daque: Bye, bye.