Meeting Title: Eden Upfluence Campaigns Date: 2026-02-03 Meeting participants: Awaish Kumar, Ashwini Sharma, Demilade Agboola, Zoran Selinger
WEBVTT
1 00:01:26.390 ⇒ 00:01:28.470 Ashwini Sharma: We’ve been waiting for Zoran to join.
2 00:02:03.100 ⇒ 00:02:03.930 Zoran Selinger: Hi, guys.
3 00:02:05.700 ⇒ 00:02:06.670 Ashwini Sharma: Hey, Zoran.
4 00:02:08.590 ⇒ 00:02:17.039 Ashwini Sharma: Okay, so quickly, Simika, Zora and I looked into our friends, we didn’t really find that data that… that we need.
5 00:02:17.040 ⇒ 00:02:22.400 Zoran Selinger: Yeah, it does. It’s simply just for tracking conversions, really.
6 00:02:22.750 ⇒ 00:02:23.490 Ashwini Sharma: Yeah.
7 00:02:23.490 ⇒ 00:02:24.030 Zoran Selinger: Yeah.
8 00:02:24.550 ⇒ 00:02:37.160 Ashwini Sharma: So now the question is, like, if it is there in affluence, I think we need to be absolutely sure about it, right, and see it. I looked into some of the raw tables in BigQuery, I’m not able to find those data.
9 00:02:37.320 ⇒ 00:02:42.689 Ashwini Sharma: There are some data, but it’s not matching to the one that we are seeing in the sheets.
10 00:02:45.540 ⇒ 00:02:51.189 Demilade Agboola: Okay, so it does appear like the, API is not giving us all the data that we need.
11 00:02:51.530 ⇒ 00:02:59.169 Demilade Agboola: Is it up to date? Is it giving us the latest, like, if you look at the… Yes, the latest records are there, February records are there.
12 00:02:59.230 ⇒ 00:03:07.250 Ashwini Sharma: So… But yeah, again, the records seem to be, you know, specific to an influencer, and…
13 00:03:07.400 ⇒ 00:03:10.600 Ashwini Sharma: The sales that… that it has done, but it…
14 00:03:10.950 ⇒ 00:03:14.679 Ashwini Sharma: But, like, things like monthly retainer, that… that can’t be…
15 00:03:14.680 ⇒ 00:03:16.319 Zoran Selinger: I don’t think that’ll be in there.
16 00:03:16.320 ⇒ 00:03:17.110 Ashwini Sharma: Right. Yeah.
17 00:03:17.280 ⇒ 00:03:27.490 Zoran Selinger: It won’t… even the, even the conversions are reported from, like, the conversion transaction, right? Transaction value.
18 00:03:27.740 ⇒ 00:03:39.469 Zoran Selinger: And that’s… that has nothing to do with the agreed, commission for each purchase. So it just doesn’t help us. The only thing that helped us directly from
19 00:03:39.620 ⇒ 00:03:51.680 Zoran Selinger: Affluence seems to me is the number of orders, because that’s what Alison and Vanessa are taking from affluence. Basically, the only thing they’re taking is, the number of orders.
20 00:03:53.010 ⇒ 00:03:54.909 Demilade Agboola: Okay.
21 00:03:55.920 ⇒ 00:03:58.439 Zoran Selinger: And everything else is just manually agreed on.
22 00:03:59.920 ⇒ 00:04:01.570 Demilade Agboola: Okay. Yeah.
23 00:04:06.050 ⇒ 00:04:08.860 Zoran Selinger: So we need to figure out, I guess, how…
24 00:04:09.900 ⇒ 00:04:13.729 Zoran Selinger: How to take the data that they have on a sheet.
25 00:04:13.730 ⇒ 00:04:20.180 Demilade Agboola: So, I just want to… because I know… I have talked to Vanessa before, and she said that contribution price is the monthly rate
26 00:04:20.320 ⇒ 00:04:22.330 Demilade Agboola: for deliverables provided.
27 00:04:24.700 ⇒ 00:04:30.000 Demilade Agboola: And so, because I know the comp… what she said was, contribution price,
28 00:04:31.360 ⇒ 00:04:37.460 Demilade Agboola: plus total affiliated commission dollars is equal to total payout used to calculate CAC.
29 00:04:42.730 ⇒ 00:04:43.839 Zoran Selinger: Oh, well…
30 00:04:48.540 ⇒ 00:04:51.149 Demilade Agboola: Because, okay, so let me show you what I’ve seen.
31 00:04:51.150 ⇒ 00:04:51.730 Zoran Selinger: Yeah.
32 00:04:51.730 ⇒ 00:04:53.100 Demilade Agboola: Yeah.
33 00:04:53.100 ⇒ 00:04:54.010 Zoran Selinger: I mean…
34 00:04:54.010 ⇒ 00:04:54.430 Demilade Agboola: Petrosh.
35 00:04:54.430 ⇒ 00:04:57.360 Zoran Selinger: The sheet seems pretty clear to me.
36 00:04:57.390 ⇒ 00:05:03.449 Demilade Agboola: I mean, if the shit is more sustainable, because my worry with the sheet is it requires people updating it, and…
37 00:05:03.690 ⇒ 00:05:12.430 Demilade Agboola: If we have an API that we can get all we need without relying on human intervention, I think that would always obviously be better.
38 00:05:12.710 ⇒ 00:05:13.360 Demilade Agboola: Sure.
39 00:05:13.360 ⇒ 00:05:17.069 Zoran Selinger: I understand, but we’ve been through this, and now we’re…
40 00:05:17.890 ⇒ 00:05:21.020 Zoran Selinger: We’re a month late with delivering this.
41 00:05:21.470 ⇒ 00:05:22.240 Demilade Agboola: Okay.
42 00:05:27.320 ⇒ 00:05:31.519 Zoran Selinger: So, you sent what she told you before?
43 00:05:31.520 ⇒ 00:05:32.310 Demilade Agboola: Yes.
44 00:05:32.310 ⇒ 00:05:34.360 Zoran Selinger: Okay, let me, let me read that quickly.
45 00:05:47.000 ⇒ 00:05:53.969 Zoran Selinger: Wait, she’s mentioning that That number should be somewhere.
46 00:05:57.700 ⇒ 00:06:00.819 Zoran Selinger: The payment request paid amount dollars.
47 00:06:03.430 ⇒ 00:06:08.149 Demilade Agboola: Yes, paid amount is the real number of total payments given to the influencer, yeah.
48 00:06:10.590 ⇒ 00:06:15.499 Zoran Selinger: Interesting. So that implies to me that we should programmatically have this data somewhere.
49 00:06:16.050 ⇒ 00:06:19.580 Demilade Agboola: Yeah, so that’s what I’m… that’s what I’m asking about, like, if there’s That’s been missing.
50 00:06:19.580 ⇒ 00:06:26.280 Ashwini Sharma: Yeah, so I can see some kind of a sale data in the tables, but where is the monthly retainer? That’s what I’m not able to see.
51 00:06:27.330 ⇒ 00:06:28.890 Zoran Selinger: You have that field, though.
52 00:06:29.080 ⇒ 00:06:33.620 Demilade Agboola: Contribution price is supposed to be the monthly retainer. That’s… that’s what I’m… that’s what I’m trying to say.
53 00:06:36.390 ⇒ 00:06:42.800 Ashwini Sharma: No, but that’s not matching with what’s there in the sheet.
54 00:06:42.800 ⇒ 00:06:44.580 Zoran Selinger: Well, the sheet, with the sheet.
55 00:06:44.580 ⇒ 00:06:46.340 Ashwini Sharma: Yeah, it’s not matching with the sheet, yeah.
56 00:06:46.460 ⇒ 00:06:47.330 Zoran Selinger: Right.
57 00:06:47.330 ⇒ 00:06:55.800 Ashwini Sharma: In the sheet, if you see, there are influencers who have a, you know, I think the max monthly retainer is $4,000 for one of them.
58 00:06:56.190 ⇒ 00:06:59.779 Ashwini Sharma: There is no record of that in… anywhere in the table.
59 00:07:01.130 ⇒ 00:07:05.190 Ashwini Sharma: I mean, getting a bad number, I can understand, but not getting the record itself.
60 00:07:05.690 ⇒ 00:07:08.230 Zoran Selinger: Can we…
61 00:07:08.500 ⇒ 00:07:15.310 Zoran Selinger: So how do they… so they are identified by the ID only, or do you have an email or something else?
62 00:07:15.310 ⇒ 00:07:19.100 Demilade Agboola: Unfortunately, that’s part of the issues or limitations with the…
63 00:07:19.230 ⇒ 00:07:24.100 Demilade Agboola: API is that they don’t put any… human… like, any PIA.
64 00:07:24.300 ⇒ 00:07:30.740 Zoran Selinger: Yeah, yeah, so we have… I don’t know where to see… the influencer ID here.
65 00:07:31.090 ⇒ 00:07:34.289 Zoran Selinger: Exactly. I just… just so we can…
66 00:07:34.550 ⇒ 00:07:39.649 Zoran Selinger: compare… I don’t know, for example, Ashley Pita, what’s her…
67 00:07:40.280 ⇒ 00:07:45.080 Demilade Agboola: Because there are a few other bytes, like, for instance, let me… if I share the query that I just did now…
68 00:07:45.320 ⇒ 00:07:50.490 Demilade Agboola: You can actually see the song that has the 4000… Contribution on price.
69 00:07:51.460 ⇒ 00:08:01.510 Ashwini Sharma: It seems like the more we spend time in investigating this particular thing, whether the data is there or not, and whether it is correct or not, the more delayed we’ll be in giving a solution to Eden.
70 00:08:01.850 ⇒ 00:08:06.010 Ashwini Sharma: If we go through the spreadsheet route, maybe we can do it in a day or two.
71 00:08:06.490 ⇒ 00:08:14.850 Ashwini Sharma: But, like, if we start looking into this one, verifying the data, whether it is correct or not, and then realizing something else later on.
72 00:08:15.280 ⇒ 00:08:16.000 Ashwini Sharma: Right?
73 00:08:16.740 ⇒ 00:08:19.210 Ashwini Sharma: I think it’s… Why not, yeah, why not give a temporary.
74 00:08:19.210 ⇒ 00:08:21.230 Zoran Selinger: Ashwini.
75 00:08:22.050 ⇒ 00:08:29.400 Zoran Selinger: I know it sounded like IM for the, the… spreadsheet route.
76 00:08:29.950 ⇒ 00:08:32.399 Zoran Selinger: But if we do have this.
77 00:08:36.110 ⇒ 00:08:43.920 Zoran Selinger: then we should do it programmatically, even if it takes a little bit more time. I’m just running the query that Demil…
78 00:08:44.110 ⇒ 00:08:46.649 Zoran Selinger: who sent it? Crusadi de Milade.
79 00:09:00.010 ⇒ 00:09:01.870 Zoran Selinger: Contribution date.
80 00:09:03.080 ⇒ 00:09:05.660 Zoran Selinger: What is contribution date?
81 00:09:10.920 ⇒ 00:09:11.830 Zoran Selinger: Where are you?
82 00:09:12.470 ⇒ 00:09:13.379 Zoran Selinger: I’m leaving that.
83 00:09:14.100 ⇒ 00:09:16.419 Zoran Selinger: So this is Campaign ID.
84 00:09:17.090 ⇒ 00:09:24.129 Ashwini Sharma: Yeah, so let’s look at campaign GLP1 campaign, right? Eden GLP-1 campaign, because that’s the campaign that we are looking at in the sheet.
85 00:09:37.640 ⇒ 00:09:40.430 Ashwini Sharma: See, for this, there is no data at all, right?
86 00:09:56.800 ⇒ 00:10:00.129 Demilade Agboola: There’s no data for the retainer of 4,000.
87 00:10:01.640 ⇒ 00:10:11.939 Ashwini Sharma: Yeah, we’re looking at campaign, right? GLP1 is the campaign name. If you see, if you do a lower of campaign name, it goes to percentage, okay, we’re like… sorry, my bad.
88 00:10:12.510 ⇒ 00:10:14.419 Ashwini Sharma: Give a wrong query.
89 00:10:14.420 ⇒ 00:10:18.609 Zoran Selinger: Can we quickly look at the… just the totals for January?
90 00:10:19.010 ⇒ 00:10:19.730 Zoran Selinger: for…
91 00:10:19.730 ⇒ 00:10:21.590 Ashwini Sharma: of a contribution price.
92 00:10:22.690 ⇒ 00:10:26.490 Demilade Agboola: So I’m sharing my screen so we can just kind of query together, if there’s any issues.
93 00:10:26.490 ⇒ 00:10:28.680 Zoran Selinger: Let’s… let’s… let’s do that.
94 00:10:29.500 ⇒ 00:10:30.290 Demilade Agboola: Alright.
95 00:10:33.210 ⇒ 00:10:34.650 Ashwini Sharma: Mixed to it.
96 00:10:35.230 ⇒ 00:10:39.400 Demilade Agboola: Alright, so… What do we want to see? We want to hit a campaign.
97 00:10:40.470 ⇒ 00:10:41.930 Demilade Agboola: GLP-1 campaign?
98 00:10:42.640 ⇒ 00:10:43.460 Zoran Selinger: Love it.
99 00:10:47.140 ⇒ 00:10:49.680 Demilade Agboola: Do we want to aggregate by any particular date?
100 00:10:51.110 ⇒ 00:10:53.750 Zoran Selinger: So, I have 10 campaigns here.
101 00:10:55.630 ⇒ 00:10:56.410 Demilade Agboola: Okay.
102 00:10:56.410 ⇒ 00:10:58.259 Zoran Selinger: The listed in affluence.
103 00:10:59.080 ⇒ 00:10:59.830 Demilade Agboola: Okay.
104 00:11:04.320 ⇒ 00:11:10.329 Zoran Selinger: So, on December 5th, yeah, we have… Quite a few new campaigns.
105 00:11:10.730 ⇒ 00:11:15.139 Zoran Selinger: Can we just get a total for January of all campaigns?
106 00:11:17.500 ⇒ 00:11:28.750 Demilade Agboola: Okay, so I see… So… Pain… Name… some…
107 00:11:33.630 ⇒ 00:11:35.090 Demilade Agboola: Let’s see…
108 00:11:40.790 ⇒ 00:11:45.329 Demilade Agboola: Where… What’s the date?
109 00:11:47.470 ⇒ 00:11:49.289 Demilade Agboola: Let me use Contribution updated that.
110 00:11:55.300 ⇒ 00:11:56.240 Demilade Agboola: Distract.
111 00:12:30.190 ⇒ 00:12:31.220 Zoran Selinger: 26?
112 00:12:31.220 ⇒ 00:12:33.970 Demilade Agboola: Group by 1… oh, sorry, my bud. 26.
113 00:12:34.580 ⇒ 00:12:36.060 Demilade Agboola: Group by one…
114 00:12:39.640 ⇒ 00:12:42.119 Demilade Agboola: Order by 2, this engine.
115 00:12:45.810 ⇒ 00:12:47.710 Demilade Agboola: Alright, so the amounts look low.
116 00:12:50.020 ⇒ 00:12:50.970 Zoran Selinger: Payment, Chris?
117 00:12:51.460 ⇒ 00:12:52.929 Zoran Selinger: So this is total.
118 00:12:53.300 ⇒ 00:12:54.399 Demilade Agboola: Yeah, this is total.
119 00:12:55.200 ⇒ 00:12:56.520 Ashwini Sharma: It’s nowhere.
120 00:12:57.070 ⇒ 00:12:58.190 Zoran Selinger: It’s an order.
121 00:12:58.320 ⇒ 00:12:59.680 Zoran Selinger: That’s nothing.
122 00:13:00.640 ⇒ 00:13:03.799 Demilade Agboola: Alright then, then I guess, yeah, let’s just do this… let’s just use the sheet, then.
123 00:13:08.630 ⇒ 00:13:12.030 Ashwini Sharma: Yeah, it’s row number 8, right, in your result set.
124 00:13:13.520 ⇒ 00:13:15.099 Ashwini Sharma: GLP1 campaign.
125 00:13:16.890 ⇒ 00:13:21.100 Zoran Selinger: I’m so disappointed, because we… yeah… We do have…
126 00:13:24.960 ⇒ 00:13:27.359 Zoran Selinger: Why is that not in the platform, though?
127 00:13:27.580 ⇒ 00:13:30.979 Demilade Agboola: Because the fields are there, that’s such a shame.
128 00:13:31.420 ⇒ 00:13:34.570 Demilade Agboola: Yeah, so let me see… The fuck is going on.
129 00:13:34.570 ⇒ 00:13:35.650 Zoran Selinger: That’s a shame.
130 00:13:37.870 ⇒ 00:13:40.120 Demilade Agboola: Sorry, I’m trying to see…
131 00:13:43.460 ⇒ 00:13:46.819 Demilade Agboola: Sorry, I don’t have an idea what’s going on with my cursor.
132 00:13:47.640 ⇒ 00:13:52.490 Demilade Agboola: I was trying to… I’m just trying to look at the… Model itself, and see if…
133 00:13:59.370 ⇒ 00:14:02.049 Demilade Agboola: If there’s anything going on with it.
134 00:14:04.070 ⇒ 00:14:05.939 Demilade Agboola: Is there any filters?
135 00:14:06.800 ⇒ 00:14:09.470 Demilade Agboola: I was guessing from campaigns, campaigns…
136 00:14:42.910 ⇒ 00:14:47.030 Demilade Agboola: Okay. I think what we can just… we can just use it as… we can just use the sheets right now.
137 00:14:48.980 ⇒ 00:14:53.160 Demilade Agboola: I think that would… that would help us find the answers that we need right now.
138 00:14:53.640 ⇒ 00:15:00.509 Demilade Agboola: I think I can basically try and just do a deep dive on the API.
139 00:15:01.020 ⇒ 00:15:07.059 Demilade Agboola: And if I have any questions or any issues, I will send them over to the, like, Options team.
140 00:15:07.400 ⇒ 00:15:12.600 Demilade Agboola: And just, like, let them know that, hey, there seems to be…
141 00:15:12.830 ⇒ 00:15:17.160 Demilade Agboola: these are things that we seem to need, but we can’t seem to find them using the API.
142 00:15:17.500 ⇒ 00:15:25.840 Demilade Agboola: like, just sort of like a document, just to that effect. But, like, yeah, I think just so that we make some progress, we can definitely just use the sheets going forward.
143 00:15:28.160 ⇒ 00:15:28.900 Zoran Selinger: Okay.
144 00:15:32.080 ⇒ 00:15:34.890 Demilade Agboola: So, yeah, I think we’re on the same page here now.
145 00:15:36.970 ⇒ 00:15:39.190 Awaish Kumar: Yeah, I… I just have one…
146 00:15:39.960 ⇒ 00:15:44.690 Awaish Kumar: One thing to say is, from the sheet, we are able to get daily
147 00:15:44.950 ⇒ 00:15:48.380 Awaish Kumar: spend data for ETM influencer?
148 00:15:50.310 ⇒ 00:15:55.499 Ashwini Sharma: Well, it’s not a daily spend data, it’s an aggregated, cumulative spend data.
149 00:15:55.500 ⇒ 00:15:55.950 Zoran Selinger: Yeah.
150 00:15:55.950 ⇒ 00:16:00.869 Awaish Kumar: No, but we are able to get the daily from the sheet, right? As we discussed, I showed you earlier.
151 00:16:01.770 ⇒ 00:16:08.349 Ashwini Sharma: You can’t call it daily, that’s what I’m saying, right? See, the sheet looks like this, I’ll just show you.
152 00:16:09.600 ⇒ 00:16:13.079 Ashwini Sharma: This is what the sheet looks like, in case you’re able to see my screen.
153 00:16:13.780 ⇒ 00:16:15.160 Zoran Selinger: Yeah. Right. We can.
154 00:16:15.160 ⇒ 00:16:23.069 Ashwini Sharma: And what they do is they update, this value over here, right? Zoran? This is the one they update? Yeah.
155 00:16:23.070 ⇒ 00:16:23.870 Zoran Selinger: Yeah.
156 00:16:23.870 ⇒ 00:16:27.199 Ashwini Sharma: Yeah, this column M is what they update on, huh?
157 00:16:27.840 ⇒ 00:16:38.349 Ashwini Sharma: daily basis, or maybe hourly basis, or whatever is their cadence, but this is the column that gets updated, right? So the more sales they make in a certain month, this number goes up.
158 00:16:38.610 ⇒ 00:16:48.500 Ashwini Sharma: The other numbers, like, this one remains constant, this one remains constant, right? And this changes based on this number, so basically this is nothing but this one.
159 00:16:49.210 ⇒ 00:16:51.089 Ashwini Sharma: K4 into M4, what is some…
160 00:16:51.090 ⇒ 00:16:54.359 Awaish Kumar: Yeah, what I just want to say is that, for example.
161 00:16:54.620 ⇒ 00:16:59.509 Awaish Kumar: if we just get from some… I don’t know who’s managing the sheet, if we just…
162 00:16:59.710 ⇒ 00:17:06.540 Awaish Kumar: Make sure that we know who’s managing this sheet, and we know by what time they update this.
163 00:17:06.839 ⇒ 00:17:07.880 Awaish Kumar: Damn.
164 00:17:08.310 ⇒ 00:17:17.440 Awaish Kumar: If we are going to load this data from the sheet and try to create a snapshot, we will be able to get
165 00:17:17.839 ⇒ 00:17:20.510 Awaish Kumar: Snapshot for each day.
166 00:17:21.849 ⇒ 00:17:25.649 Zoran Selinger: They update this daily, and as they go. So, for example.
167 00:17:25.650 ⇒ 00:17:26.390 Awaish Kumar: Yeah.
168 00:17:27.030 ⇒ 00:17:36.140 Awaish Kumar: That’s what I’m saying. They update this daily with a new number, but if I have yesterday’s number, I know what was yesterday, and then what is today.
169 00:17:37.170 ⇒ 00:17:38.479 Awaish Kumar: You’re getting my point?
170 00:17:41.260 ⇒ 00:17:45.110 Zoran Selinger: Understand the last part. We have the S&’s number, right?
171 00:17:45.110 ⇒ 00:17:52.180 Awaish Kumar: Yeah, I… for example, today, if I read this sheet and store it in a BigQuery, right, tomorrow somebody will update it.
172 00:17:52.310 ⇒ 00:18:05.850 Awaish Kumar: And then, again, tomorrow, I will read data from the sheet. But I have yesterday’s data in my BigQuery table, I have now today’s data from BigQuery table. Then, basically, I can see what is the change from yesterday.
173 00:18:05.850 ⇒ 00:18:08.179 Zoran Selinger: Yeah, I mean, we have to do that, yeah.
174 00:18:08.410 ⇒ 00:18:27.960 Awaish Kumar: Yeah, so that’s what I’m trying to say, that, okay, we are going to read it from this sheet, but then just try to create a snapshot, so that each day we can just figure out what is the change each day for each influencer. And then, same way, you are just going to create daily contributions and send it to Northwave.
175 00:18:28.790 ⇒ 00:18:33.040 Ashwini Sharma: So, there is a catch over here, the sheet changes every month.
176 00:18:34.660 ⇒ 00:18:35.290 Zoran Selinger: Yeah.
177 00:18:35.700 ⇒ 00:18:37.290 Zoran Selinger: That… that is a catch.
178 00:18:38.000 ⇒ 00:18:39.789 Zoran Selinger: They create a new sheet.
179 00:18:40.130 ⇒ 00:18:41.190 Awaish Kumar: Yeah.
180 00:18:41.190 ⇒ 00:18:41.950 Zoran Selinger: next month.
181 00:18:42.680 ⇒ 00:18:47.260 Awaish Kumar: Yeah, like, this is what we are saying, this is a quick fix, right?
182 00:18:47.260 ⇒ 00:18:49.330 Ashwini Sharma: Yeah, this is a quick fix on it, yeah.
183 00:18:49.560 ⇒ 00:19:05.309 Awaish Kumar: Yeah, this is a quick fix. We are going to do this, to… to support them. Like, if we have… if our API doesn’t work, we just have to live with this. We are… we have to basically remember updating the URL for the sheet.
184 00:19:06.040 ⇒ 00:19:08.519 Awaish Kumar: the new one, right? Whatever they create.
185 00:19:09.350 ⇒ 00:19:17.420 Awaish Kumar: And, it will be, like, a recurring ticket in linear, which reminds us, okay, we have to update the link for the sheet.
186 00:19:21.250 ⇒ 00:19:23.460 Awaish Kumar: And, yeah, in the meantime…
187 00:19:23.460 ⇒ 00:19:24.370 Zoran Selinger: feel.
188 00:19:24.510 ⇒ 00:19:31.070 Zoran Selinger: Maybe just simply backfill… and work on the API Only.
189 00:19:31.070 ⇒ 00:19:32.110 Awaish Kumar: Yeah, but…
190 00:19:32.680 ⇒ 00:19:38.970 Awaish Kumar: If we are, like, if you need a quick fix, we can do this right now, and update this.
191 00:19:39.160 ⇒ 00:19:42.579 Awaish Kumar: Until we fix the API goal, right? That’s what I’m trying to say.
192 00:19:44.210 ⇒ 00:19:50.670 Zoran Selinger: Actually, Okay, let me… .
193 00:19:52.110 ⇒ 00:19:53.439 Awaish Kumar: Because for the APIs.
194 00:19:53.440 ⇒ 00:19:54.009 Zoran Selinger: I want to be…
195 00:19:54.010 ⇒ 00:19:54.520 Awaish Kumar: I don’t know.
196 00:19:54.520 ⇒ 00:19:57.460 Zoran Selinger: some data here. I want to backfill data.
197 00:19:58.380 ⇒ 00:20:02.040 Zoran Selinger: And I’m gonna do that manually. We have a sheet.
198 00:20:02.140 ⇒ 00:20:08.580 Zoran Selinger: Where we can… When we can put data in it, it will be pulled for… For these costs.
199 00:20:08.800 ⇒ 00:20:10.870 Zoran Selinger: We have a cost import sheet.
200 00:20:11.160 ⇒ 00:20:20.080 Zoran Selinger: I’m gonna backfill all the data that we have until January.
201 00:20:20.540 ⇒ 00:20:24.400 Zoran Selinger: Okay, then you guys work on January. Is that… Ashwini, is that fine?
202 00:20:28.530 ⇒ 00:20:29.900 Zoran Selinger: If you’re gonna work on this…
203 00:20:31.220 ⇒ 00:20:33.140 Ashwini Sharma: You’re going to backfill what?
204 00:20:33.350 ⇒ 00:20:34.080 Ashwini Sharma: up till.
205 00:20:34.080 ⇒ 00:20:49.209 Zoran Selinger: all the months prior to January, just manually, because we have a NordBeam cost sheet as well, where we can manually input data daily for specific complaints.
206 00:20:49.350 ⇒ 00:20:51.129 Zoran Selinger: We do have that option.
207 00:20:51.680 ⇒ 00:20:56.239 Ashwini Sharma: And what are you going… what is expected out of that backfill data?
208 00:20:56.240 ⇒ 00:21:04.570 Zoran Selinger: Oh, that’s just gonna be… so on every sync, which is happening every 6 hours for Norbin, they’re going to pull that, and I’m gonna have…
209 00:21:04.690 ⇒ 00:21:06.110 Zoran Selinger: all the costs.
210 00:21:06.220 ⇒ 00:21:10.960 Zoran Selinger: for the pre… for the previous months in there, for affluence.
211 00:21:13.620 ⇒ 00:21:14.680 Zoran Selinger: we can…
212 00:21:15.150 ⇒ 00:21:15.810 Ashwini Sharma: No, I’m going to…
213 00:21:15.810 ⇒ 00:21:18.259 Zoran Selinger: I can manually do that, basically.
214 00:21:18.530 ⇒ 00:21:23.609 Ashwini Sharma: Now, are we going to send it to Northbeam as well, or is it… No, it’s a…
215 00:21:23.610 ⇒ 00:21:25.159 Awaish Kumar: Yeah, I get it, I…
216 00:21:25.540 ⇒ 00:21:31.669 Awaish Kumar: Okay, I get it. Zoran is saying that for the month of January, he’s going to manually upload it.
217 00:21:31.800 ⇒ 00:21:34.279 Awaish Kumar: And we just work on API, right?
218 00:21:36.230 ⇒ 00:21:44.760 Zoran Selinger: Yes, yes, I would like, I would like that. This will immediately give us the previous months of data.
219 00:21:45.030 ⇒ 00:21:52.319 Zoran Selinger: Because I can put that in that sheet, and you guys can focus on the programmatic solution immediately.
220 00:21:53.140 ⇒ 00:21:53.680 Ashwini Sharma: Okay.
221 00:21:53.680 ⇒ 00:21:59.040 Awaish Kumar: Okay, yeah, sounds good. So, we have a plan. Zoran, for now, you will be…
222 00:21:59.170 ⇒ 00:22:04.140 Awaish Kumar: vaccinating it through the manual not being, imported.
223 00:22:04.140 ⇒ 00:22:05.489 Zoran Selinger: big dot, and I’m like… -Oh.
224 00:22:05.490 ⇒ 00:22:05.910 Awaish Kumar: Okay.
225 00:22:05.910 ⇒ 00:22:08.740 Zoran Selinger: I’ll, I’ll do, I’ll just do that, and we’ll.
226 00:22:08.740 ⇒ 00:22:15.219 Awaish Kumar: Step 2… step two is for us, actually, that you are going to work with Damilade.
227 00:22:15.630 ⇒ 00:22:21.850 Awaish Kumar: to figure out what’s going on with API, if it’s API issue, if it is,
228 00:22:21.970 ⇒ 00:22:32.449 Awaish Kumar: or economic issue, or if it is our issue, and just isolate that. If we can fix it, we will. Otherwise, just isolate that, and… and maybe prepare an ocean dog.
229 00:22:32.950 ⇒ 00:22:36.419 Awaish Kumar: for Zoran to, like, let him know what’s going on.
230 00:22:38.580 ⇒ 00:22:39.230 Ashwini Sharma: Okay.
231 00:22:40.390 ⇒ 00:22:40.820 Demilade Agboola: Sounds good.
232 00:22:42.550 ⇒ 00:22:49.889 Zoran Selinger: All right? Cool. I’ll prepare that sheet, and in 5 hours, we will… we should see influencer costs in there.
233 00:22:52.980 ⇒ 00:22:54.620 Ashwini Sharma: I’m honored, yeah.
234 00:22:54.900 ⇒ 00:22:55.780 Ashwini Sharma: Thank you.
235 00:22:55.940 ⇒ 00:22:57.130 Zoran Selinger: Okay, cool.
236 00:22:57.760 ⇒ 00:22:59.259 Zoran Selinger: Take care, guys, thank you.
237 00:22:59.260 ⇒ 00:22:59.860 Ashwini Sharma: Alright.
238 00:22:59.860 ⇒ 00:23:00.940 Zoran Selinger: Thanks for mate.