Meeting Title: Polytomic x LMNT: Data Ingestion Roadmap Date: 2026-02-12 Meeting participants: Shivani Amar, Ghalib’s Fathom Notetaker, Ghalib Suleiman, Uttam Kumaran, Awaish Kumar, Jason Wu
WEBVTT
1 00:00:21.080 ⇒ 00:00:22.930 Ghalib Suleiman: Nice, Bonnie. How’s it going?
2 00:00:24.100 ⇒ 00:00:25.259 Shivani Amar: Good, how are you?
3 00:00:25.260 ⇒ 00:00:26.329 Ghalib Suleiman: Good, not so bad.
4 00:00:26.540 ⇒ 00:00:27.500 Shivani Amar: Where are you based?
5 00:00:28.030 ⇒ 00:00:35.839 Ghalib Suleiman: San Francisco, although we are on a sub-team off-site in Mexico this week, hence my background being a bit, funny.
6 00:00:36.070 ⇒ 00:00:37.359 Shivani Amar: Where, where in Mexico?
7 00:00:37.360 ⇒ 00:00:39.389 Ghalib Suleiman: We are in Cabo.
8 00:00:39.640 ⇒ 00:00:41.519 Shivani Amar: Oh, how, how lovely.
9 00:00:45.450 ⇒ 00:00:46.560 Shivani Amar: That’s awesome.
10 00:00:48.120 ⇒ 00:00:49.840 Shivani Amar: Is the weather nice there?
11 00:00:49.840 ⇒ 00:00:52.989 Ghalib Suleiman: It’s… yes, can’t fault it, really.
12 00:00:52.990 ⇒ 00:00:54.400 Shivani Amar: Sunsets, get down there.
13 00:00:54.400 ⇒ 00:00:55.070 Ghalib Suleiman: That’s house.
14 00:00:55.070 ⇒ 00:00:55.630 Shivani Amar: Cool.
15 00:00:55.810 ⇒ 00:00:57.950 Ghalib Suleiman: Yeah, sunsets, sunrises, all this stuff.
16 00:01:00.580 ⇒ 00:01:01.709 Ghalib Suleiman: Where are you based?
17 00:01:02.410 ⇒ 00:01:03.750 Shivani Amar: I’m in New York.
18 00:01:04.099 ⇒ 00:01:05.909 Ghalib Suleiman: Oh goodness, total winter.
19 00:01:05.910 ⇒ 00:01:06.680 Shivani Amar: Yeah.
20 00:01:08.110 ⇒ 00:01:11.880 Shivani Amar: And… And my spacesuit are on.
21 00:01:12.380 ⇒ 00:01:13.260 Ghalib Suleiman: But, you know.
22 00:01:13.480 ⇒ 00:01:15.649 Ghalib Suleiman: Yeah. Yeah, my brother lives in…
23 00:01:16.150 ⇒ 00:01:17.170 Shivani Amar: Where does the bug go up?
24 00:01:17.170 ⇒ 00:01:19.420 Ghalib Suleiman: He’s in Manhattan, and it’s just…
25 00:01:19.500 ⇒ 00:01:21.579 Shivani Amar: Yeah. Endless.
26 00:01:21.680 ⇒ 00:01:23.850 Ghalib Suleiman: Complaining about this year’s winter.
27 00:01:24.130 ⇒ 00:01:26.250 Shivani Amar: Yeah, it actually looks like it’s, like.
28 00:01:26.710 ⇒ 00:01:30.050 Shivani Amar: a little sunnier today, like, I can see things melting.
29 00:01:30.050 ⇒ 00:01:31.550 Ghalib Suleiman: Rays of hope.
30 00:01:31.910 ⇒ 00:01:37.839 Shivani Amar: but on the whole, I think today’s one of those days where I’m like, wow, I’m really over this.
31 00:01:37.840 ⇒ 00:01:38.419 Ghalib Suleiman: you know.
32 00:01:39.070 ⇒ 00:01:39.800 Uttam Kumaran: The weather?
33 00:01:39.800 ⇒ 00:01:41.230 Shivani Amar: Still depleted, yeah.
34 00:01:42.850 ⇒ 00:01:46.780 Uttam Kumaran: Finally back to… 75, it’s sunny here.
35 00:01:47.340 ⇒ 00:01:48.400 Shivani Amar: Happy food.
36 00:01:50.200 ⇒ 00:01:52.170 Uttam Kumaran: Try to rub it in your face.
37 00:01:53.100 ⇒ 00:01:59.850 Shivani Amar: Yeah, I’m like, I should go outside today, it’s, like, over 30, and I haven’t been out yet, but maybe later this afternoon, quickly.
38 00:02:00.310 ⇒ 00:02:03.680 Shivani Amar: Get a stroll in. It’s Jason?
39 00:02:03.680 ⇒ 00:02:04.450 Ghalib Suleiman: joining.
40 00:02:05.970 ⇒ 00:02:07.890 Shivani Amar: It should be, but I think we can get started.
41 00:02:07.890 ⇒ 00:02:09.160 Ghalib Suleiman: Okay, cool.
42 00:02:09.160 ⇒ 00:02:10.329 Uttam Kumaran: I’ll send him a quick note.
43 00:02:13.770 ⇒ 00:02:16.980 Ghalib Suleiman: Can give an update, then, at least where things stand from our side.
44 00:02:16.980 ⇒ 00:02:17.660 Shivani Amar: Cool.
45 00:02:17.660 ⇒ 00:02:19.200 Ghalib Suleiman: these integrations.
46 00:02:20.710 ⇒ 00:02:31.339 Ghalib Suleiman: There are 3 remaining ones to sort out. One is Gorgeous, which we’re in the middle of a support thread with them, as for some of their collections, we are getting opaque errors.
47 00:02:31.550 ⇒ 00:02:50.560 Ghalib Suleiman: Jason just connected me with someone in support, kicked off an email about an hour ago with them. And then for Amazon and Walmart, assuming things go okay, we got Amazon credentials today from Steve, just about an hour ago also, and so have that ready next week, budget’s about a week from today, maybe a bit less.
48 00:02:50.710 ⇒ 00:03:00.189 Ghalib Suleiman: And then Walmart’s instructions will follow on that, on getting credentials, and, you know, assuming we get them, you know, even if we get them by Tuesday, then, say, by Friday, could have something there.
49 00:03:01.580 ⇒ 00:03:02.180 Shivani Amar: Okay.
50 00:03:02.540 ⇒ 00:03:06.100 Shivani Amar: And is that something that’s, like, pending the 15 minutes to get you the credentials?
51 00:03:06.100 ⇒ 00:03:11.299 Ghalib Suleiman: Yeah, I think Steve… Steve is waiting instructions from me, but I’ll be sending that to him today.
52 00:03:11.300 ⇒ 00:03:11.800 Shivani Amar: Okay.
53 00:03:12.070 ⇒ 00:03:17.900 Ghalib Suleiman: Do need to find out, yeah, what their process is for this stuff, but he’ll be hearing from me today on this one.
54 00:03:18.130 ⇒ 00:03:20.510 Ghalib Suleiman: Okay. Given we just got,
55 00:03:20.620 ⇒ 00:03:24.969 Ghalib Suleiman: the Amazon stuff from him, we’re just gonna get started on that, to have that one ready next week, at least.
56 00:03:25.800 ⇒ 00:03:26.480 Shivani Amar: Great.
57 00:03:27.230 ⇒ 00:03:33.050 Ghalib Suleiman: And then Gorgeous, yeah, does remain. Support thread’s still waiting to hear back from them. This is all very fresh from this morning.
58 00:03:33.420 ⇒ 00:03:34.300 Shivani Amar: Okay, cool.
59 00:03:34.540 ⇒ 00:03:39.580 Shivani Amar: I think, we do these, like, 4-box updates for folks, like.
60 00:03:39.710 ⇒ 00:03:48.270 Shivani Amar: Just for people across the element to understand, like, okay, what’s being… what’s happening? I’ll ping you… yeah, I’ll ping you on Slack with a written…
61 00:03:48.310 ⇒ 00:03:51.339 Ghalib Suleiman: summary of the stuff, if that’s okay. This way, you can copy-paste and just.
62 00:03:51.340 ⇒ 00:03:59.390 Shivani Amar: I have to, like, link it or something, which is like, hey, FYI, Gorgeous blocked, like, because of the issue is if anybody wants to click in, then they can.
63 00:03:59.390 ⇒ 00:04:02.440 Ghalib Suleiman: Yeah, yeah, great. Is email preferred, or Slack, or what?
64 00:04:02.440 ⇒ 00:04:03.270 Shivani Amar: Slack is fine.
65 00:04:03.540 ⇒ 00:04:09.300 Ghalib Suleiman: Yeah, I think leave this one up to me then, and today I’ll just send you a written summary with these three outstanding items.
66 00:04:10.660 ⇒ 00:04:11.470 Shivani Amar: Perfect.
67 00:04:12.730 ⇒ 00:04:13.450 Shivani Amar: Hmm.
68 00:04:14.130 ⇒ 00:04:16.920 Ghalib Suleiman: Tom, anything? Or Siobhani, anything else?
69 00:04:16.920 ⇒ 00:04:26.990 Shivani Amar: One thing that Litham and I were just talking about was, like, okay, like, let’s say we had a goal that at any given time, 4 things were being ingested. Which is just, like, an arbitrary…
70 00:04:26.990 ⇒ 00:04:40.940 Shivani Amar: thing, but, like, just to keep things, the momentum going, if we’re, like, blocked on… we have Shopify, it’s updating. We have, you know, where to go, all those things are updating, but, like, brand new sources being… Yeah. So we were talking just now, like.
71 00:04:40.940 ⇒ 00:04:54.969 Shivani Amar: okay, if Gorgeous is sort of blocked, the connectors aren’t quite yet done for Amazon and Walmart, does it make sense for us to just start ingesting the things you already have connectors for in, like, Google Ads, or whatever? Sure.
72 00:04:54.970 ⇒ 00:05:02.759 Shivani Amar: So, I think, like, that’s what we were just saying today, which is, like, maybe it makes sense to just keep the ingestion, like… No one, yeah.
73 00:05:02.760 ⇒ 00:05:12.879 Ghalib Suleiman: The reality is, frankly, across, I don’t know, God knows, hundreds of our customers, or whatever it is, no one waits for everything. Yeah. People just go, look, we have stuff we can use, we’ll just get using it.
74 00:05:13.100 ⇒ 00:05:13.680 Shivani Amar: Yeah.
75 00:05:13.790 ⇒ 00:05:14.580 Shivani Amar: I think that’s…
76 00:05:14.580 ⇒ 00:05:21.280 Ghalib Suleiman: You would be odd, I would say, amongst, again, hundreds and hundreds of our customers, if, you did sort of wait.
77 00:05:21.280 ⇒ 00:05:25.060 Shivani Amar: So I’m kind of like, if you have the connector built, let’s do the ingestion.
78 00:05:25.060 ⇒ 00:05:29.829 Ghalib Suleiman: Yeah, yeah, yeah, yeah, totally. So all the stuff is running, right? That’s why Shopify is indeed running, right, and updating.
79 00:05:29.830 ⇒ 00:05:30.290 Shivani Amar: Totally.
80 00:05:30.290 ⇒ 00:05:33.470 Ghalib Suleiman: And other stuff can be turned on if it’s already there.
81 00:05:33.470 ⇒ 00:05:42.820 Shivani Amar: with them, I don’t know what needs to happen for us to turn it on, but if we can turn things on, like, tomorrow or something, let’s turn it on, right? Like, I’m like, let’s get the data into the warehouse. Cool.
82 00:05:42.820 ⇒ 00:05:47.870 Uttam Kumaran: Yeah, we’re gonna work down from… to the P1, and then I’ll just… I’ll connect with Carlos next week and just get the rest.
83 00:05:47.870 ⇒ 00:05:48.530 Shivani Amar: Yeah.
84 00:05:49.310 ⇒ 00:05:51.810 Uttam Kumaran: We already have a few, yeah, so we can do that.
85 00:05:52.040 ⇒ 00:05:53.190 Shivani Amar: Okay, perfect.
86 00:05:54.230 ⇒ 00:06:03.120 Shivani Amar: Like, we learned, for example, some transactions for wholesale, like, as an example in our business, happen in QuickBooks and not in Shopify.
87 00:06:03.170 ⇒ 00:06:04.070 Ghalib Suleiman: Oh, I see.
88 00:06:04.070 ⇒ 00:06:06.549 Shivani Amar: And then I was like, oh, I have an incomplete view of revenue.
89 00:06:06.550 ⇒ 00:06:06.910 Ghalib Suleiman: Yep.
90 00:06:06.910 ⇒ 00:06:19.429 Shivani Amar: I’m not yet ingesting QuickBooks data. I don’t necessarily need to ingest everything from QuickBooks, but maybe I just quickly get a rundown for finance of, like, these are manual transactions that you should know about, kind of thing. Yeah.
91 00:06:22.180 ⇒ 00:06:25.029 Ghalib Suleiman: Yeah, absolutely encourage you to get going in that sense.
92 00:06:25.030 ⇒ 00:06:26.210 Shivani Amar: Great, aligned.
93 00:06:27.280 ⇒ 00:06:42.739 Uttam Kumaran: Jason said he’s gonna join in just, like, 2 minutes. I think, really, Gob, I just wanted to talk pricing and contract, and sort of make sure that we, you know, feel comfortable moving with Polytomic long-term. So that’s really, like, part of the impetus. I think.
94 00:06:42.810 ⇒ 00:07:01.819 Uttam Kumaran: you know, on our side, in our engagement with Element, we’re about, like, 2 months in. I think we’ve sort of set the ground floor on everything, except for BI, which is actually just kicking off tomorrow. And so really, like, what I’m trying to guide the team towards is to just make sure we’ve cemented Data Warehouse, our ingestion provider.
95 00:07:02.180 ⇒ 00:07:02.600 Ghalib Suleiman: I hope.
96 00:07:02.600 ⇒ 00:07:16.199 Uttam Kumaran: we’re using dbt for modeling, so that’s fine, and then on BI. And so, really, this conversation, you know, I wanted to just make sure that Shivani and team are aware of the costs, aware of anything else on the contract side for leveraging Polytomic.
97 00:07:16.420 ⇒ 00:07:19.180 Uttam Kumaran: But yeah, that’s, that’s really, like, you know.
98 00:07:19.180 ⇒ 00:07:26.310 Ghalib Suleiman: Yeah, I can share my screen, at least based on current volumes, and again, I can follow up over email, too, with material.
99 00:07:26.310 ⇒ 00:07:27.570 Shivani Amar: Yeah, thank you.
100 00:07:27.570 ⇒ 00:07:31.220 Ghalib Suleiman: And, you know, we have two options. One, you could just pay monthly.
101 00:07:31.300 ⇒ 00:07:48.110 Ghalib Suleiman: And… or you could do annually, and you get a 20% discount if you pay annually. Some people do monthly to begin with, and then maybe two, three months down the line, right, they convert to annual, kick off an annual subscription, but let me share my screen, and you’ll be receiving this. Ultimately, it comes down to the number of
102 00:07:48.590 ⇒ 00:07:51.629 Ghalib Suleiman: Rose we sink in a month into the warehouse.
103 00:07:52.130 ⇒ 00:07:53.250 Shivani Amar: How much what?
104 00:07:53.250 ⇒ 00:08:02.719 Ghalib Suleiman: how many rows we sink into the warehouse per month, so how many records moved? And records may be new records, maybe updates, it’s really whatever the provider gives us when we request information.
105 00:08:02.940 ⇒ 00:08:05.009 Ghalib Suleiman: Per your sync schedules.
106 00:08:05.410 ⇒ 00:08:15.480 Ghalib Suleiman: And so currently we’re looking at, if you do, at least per current volumes, and Tom, I don’t know, you know, as far as extra integrations, I’m assuming ad platforms probably coming up?
107 00:08:15.480 ⇒ 00:08:21.679 Uttam Kumaran: Yeah. Yeah, it’s, it’s ad platforms, I literally just had that up.
108 00:08:21.980 ⇒ 00:08:29.030 Uttam Kumaran: Yeah, it’s gonna be ad platforms, there’s, so, like, all the common things there, a couple.
109 00:08:29.030 ⇒ 00:08:29.829 Ghalib Suleiman: I’m like… Yeah.
110 00:08:29.830 ⇒ 00:08:32.539 Uttam Kumaran: off ones. Ga.
111 00:08:32.980 ⇒ 00:08:33.740 Uttam Kumaran: Yep.
112 00:08:33.740 ⇒ 00:08:34.510 Ghalib Suleiman: politics, you know.
113 00:08:34.510 ⇒ 00:08:44.169 Uttam Kumaran: And then there’s a couple of, like, FP&A tools that we’re not yet sure what parts we’re gonna need. These include, like, Atomic, Cube, Confido.
114 00:08:46.150 ⇒ 00:08:48.290 Ghalib Suleiman: DNA tools tend to be small, though, as far as data.
115 00:08:48.290 ⇒ 00:08:49.790 Uttam Kumaran: Yeah, so, yeah.
116 00:08:49.790 ⇒ 00:08:53.849 Shivani Amar: Like, we’re just, you know, like, to understand how much trade spend we had in, like.
117 00:08:53.850 ⇒ 00:08:54.310 Ghalib Suleiman: Yeah.
118 00:08:54.310 ⇒ 00:09:02.609 Shivani Amar: that’ll be in, like, something called Confido, and then we haven’t, like, eventually we’ll need, like, warehouse data to know, like, weeks of stock.
119 00:09:02.610 ⇒ 00:09:09.339 Uttam Kumaran: and things on the supply side. Yeah, NetSuite is coming down the pipe for them probably, like, in the fall of this year.
120 00:09:09.340 ⇒ 00:09:11.850 Ghalib Suleiman: Okay. Are you guys on NetSuite now, Shivani?
121 00:09:11.850 ⇒ 00:09:14.129 Shivani Amar: No, we’re in QuickBooks, and we’re transitioning, right?
122 00:09:14.130 ⇒ 00:09:19.380 Ghalib Suleiman: Yeah, yeah. Okay, so you can imagine, sort of volume-wise, that’d be similar to each other, right? Just becomes a switch.
123 00:09:19.650 ⇒ 00:09:25.389 Ghalib Suleiman: But yeah, we’re looking at this, if you were to do annually, looking at about 25K, it may be…
124 00:09:25.870 ⇒ 00:09:36.149 Ghalib Suleiman: Worth it to just do monthly, so monthly, we’re looking at this per month, for now, as you add stuff and maybe see how things look like a month or two from now.
125 00:09:36.910 ⇒ 00:09:37.660 Shivani Amar: Okay.
126 00:09:37.880 ⇒ 00:09:45.760 Ghalib Suleiman: You know, so there is a discount with going… and again, on annual, one can always increase your commitment, right? So maybe you add stuff, and then you increase the monthly commitment.
127 00:09:46.490 ⇒ 00:09:51.239 Ghalib Suleiman: It really ends up being up to you, but you do get a 20% saving on volumes if it’s annual.
128 00:09:51.520 ⇒ 00:09:52.300 Shivani Amar: Gotcha.
129 00:09:52.300 ⇒ 00:09:56.290 Uttam Kumaran: Okay, cool. So, looking at the, looking at the row estimates.
130 00:09:56.530 ⇒ 00:09:56.960 Ghalib Suleiman: I guess?
131 00:09:56.960 ⇒ 00:10:04.610 Uttam Kumaran: Is that the ad platforms may end up… Just doubling, like our…
132 00:10:04.610 ⇒ 00:10:13.320 Shivani Amar: Yeah, I’m like, I’m like, this is a moment in time with what we have so far. We haven’t even done Amazon. Shopify was $188,000, so Amazon.
133 00:10:13.370 ⇒ 00:10:13.890 Ghalib Suleiman: Hmm.
134 00:10:13.890 ⇒ 00:10:20.260 Shivani Amar: similar, looking things up. So I’m like, How does it work? Like…
135 00:10:20.260 ⇒ 00:10:25.100 Ghalib Suleiman: Yeah, so you can see, so yeah, so really, ultimately, you pick a commitment of rows per month, right, that you’d sync.
136 00:10:25.520 ⇒ 00:10:35.979 Ghalib Suleiman: And the more you’re syncing, the cheaper the subsequent unit pricing becomes. So you can see, as you cross 100 million rows a month, right, your next batch of a million ends up being
137 00:10:36.080 ⇒ 00:10:42.519 Ghalib Suleiman: a smaller number. So we’re gonna send this to you over email. This way, you can simulate stuff. In this case, I don’t know, if we switch this to 250,
138 00:10:43.680 ⇒ 00:10:58.480 Ghalib Suleiman: $250 million, for example, you can see the annual price goes here. And you can see the annual price did not double, right? It just went up about 10K a bit, because we’re in the DK system here, where you get discounts, like, the more you’re sinking.
139 00:10:58.640 ⇒ 00:10:59.940 Shivani Amar: I see, okay, cool.
140 00:10:59.940 ⇒ 00:11:05.590 Ghalib Suleiman: Yeah, so I went, you know, you… one shouldn’t anticipate sticker shock, oops, sorry. Just because…
141 00:11:05.840 ⇒ 00:11:07.690 Ghalib Suleiman: Sorry, let’s go back to 250.
142 00:11:07.970 ⇒ 00:11:09.000 Ghalib Suleiman: Million.
143 00:11:09.260 ⇒ 00:11:13.640 Ghalib Suleiman: Right, because of this discounting effect here. You double your volume, you get a…
144 00:11:13.990 ⇒ 00:11:14.510 Shivani Amar: The rate.
145 00:11:14.510 ⇒ 00:11:15.890 Ghalib Suleiman: extra, that’s it, yeah.
146 00:11:16.130 ⇒ 00:11:22.029 Shivani Amar: So, like, let’s say we said, okay, we want the annual discount.
147 00:11:22.190 ⇒ 00:11:33.920 Shivani Amar: And then, is it, like, as we ingest more, then it’s just the 20%? How does it work exactly? Because it’s, like, about to increase the amount of ingestion we’re doing.
148 00:11:33.920 ⇒ 00:11:42.169 Ghalib Suleiman: Yeah, yeah. So, ultimately, you pick some number going, you know, you’re basically buying credits. You’re going, hey, we buy the right to sync up to $250 million a month.
149 00:11:42.170 ⇒ 00:11:43.470 Shivani Amar: Oh, okay.
150 00:11:43.820 ⇒ 00:11:48.600 Ghalib Suleiman: Right? And then there’s an overage regime if you exceed that for a particular month.
151 00:11:48.920 ⇒ 00:11:59.479 Ghalib Suleiman: And, you know, we do tend to be a bit generous about it, frankly. Like, the first time you hit overage, we actually don’t charge you. In fact, someone contacts you and says, hey, by the way, if you were to pay, which we’re not going to charge you for this month.
152 00:11:59.490 ⇒ 00:12:11.289 Ghalib Suleiman: you’re subject to this overages, because these integrations have consumed more, and it’s up to you to decide what to do subsequently. You can increase your allocation or pay overages. But the whole premise is it’s credits, right? You get 250 million rows to sync in a month.
153 00:12:11.520 ⇒ 00:12:14.579 Ghalib Suleiman: You lock that in, and that’s where the discount comes in.
154 00:12:14.580 ⇒ 00:12:17.390 Shivani Amar: Gotcha. Okay, cool.
155 00:12:19.850 ⇒ 00:12:26.790 Shivani Amar: This is so random, sorry, I’m just learning about this, but I’m like, stored has more rows of data than Shopify? I just thought Shopify.
156 00:12:26.790 ⇒ 00:12:27.270 Ghalib Suleiman: So this…
157 00:12:27.270 ⇒ 00:12:29.129 Shivani Amar: so much data, but I don’t really.
158 00:12:29.130 ⇒ 00:12:37.370 Ghalib Suleiman: So here’s the… yeah, so here’s the annoying bit. This really depends on the vendor. So some vendors, like Shopify, let us pull updates only.
159 00:12:37.970 ⇒ 00:12:42.619 Ghalib Suleiman: Stored, a lot of their stuff says, you have to pull everything every time you run.
160 00:12:42.960 ⇒ 00:12:44.200 Shivani Amar: Oh…
161 00:12:44.200 ⇒ 00:12:54.689 Ghalib Suleiman: So ultimately, you know, what drives our cost as a business? Really, it’s network transfers across the internet, you know, someone needs to pay for these. And this is really the annoying bit you’re seeing.
162 00:12:54.840 ⇒ 00:13:04.170 Ghalib Suleiman: is this kind of really annoying vendor where their API doesn’t let you pull updates. It’s just, you have to take the whole world every time. That’s how you know what’s different.
163 00:13:04.170 ⇒ 00:13:05.270 Jason Wu: Wow.
164 00:13:05.270 ⇒ 00:13:06.200 Ghalib Suleiman: Yeah, and it’s, it’s mad.
165 00:13:06.200 ⇒ 00:13:10.689 Shivani Amar: I’m glad I asked that question. I was like, I would have thought Shopify had more rows than stores.
166 00:13:10.690 ⇒ 00:13:20.630 Ghalib Suleiman: No, no, no, no, yeah. And so, you know, what some people do, I can see, again, there’s always the odd vendor, right, that behaves like this, and some people go, okay, maybe we’ll sync this guy, I don’t know, once a week.
167 00:13:20.630 ⇒ 00:13:25.129 Uttam Kumaran: So that’s what we’ll do on our side, is we’ll go through and be like, do we need all these tables?
168 00:13:25.430 ⇒ 00:13:26.020 Ghalib Suleiman: Yep.
169 00:13:26.250 ⇒ 00:13:31.890 Uttam Kumaran: And then second is, like, okay, is the SLA on this, like… Totally, you should do.
170 00:13:32.310 ⇒ 00:13:33.030 Shivani Amar: Right, right.
171 00:13:33.030 ⇒ 00:13:36.530 Uttam Kumaran: juice as much as we… we’re trying to get as much juice as we could squeeze. Totally.
172 00:13:36.530 ⇒ 00:13:37.010 Shivani Amar: Okay.
173 00:13:37.310 ⇒ 00:13:43.110 Ghalib Suleiman: Because even with Shopify, Shivani, so we have some customers who, I don’t know, for whatever reason,
174 00:13:43.460 ⇒ 00:13:46.409 Ghalib Suleiman: Need to sync the data every 10 minutes.
175 00:13:46.410 ⇒ 00:13:46.860 Shivani Amar: Mmm.
176 00:13:46.860 ⇒ 00:13:56.670 Ghalib Suleiman: Shopify provides updates, but suppose you get 5 updates in an hour, right? For those who are syncing every 10 minutes, well, all 5 are gonna count.
177 00:13:56.890 ⇒ 00:14:05.630 Ghalib Suleiman: But those who sync once an hour, well, that’s just one update, right? Because the five updates have happened in Shopify, but we’re only syncing, excuse me, the latest version.
178 00:14:05.630 ⇒ 00:14:07.659 Shivani Amar: Does that make sense? Yeah, yeah, yeah.
179 00:14:07.840 ⇒ 00:14:13.150 Ghalib Suleiman: So there is some elements of Otam and Co. just doing some diligence on what exactly do you guys need and how frequently.
180 00:14:13.150 ⇒ 00:14:14.599 Shivani Amar: That makes sense. Okay.
181 00:14:14.600 ⇒ 00:14:17.720 Ghalib Suleiman: And certainly before committing to price, you know, that’s all that should happen.
182 00:14:17.720 ⇒ 00:14:22.780 Shivani Amar: Yeah, I think there’s actually very little we need, like, on the hour. I don’t, I don’t know.
183 00:14:22.780 ⇒ 00:14:25.839 Ghalib Suleiman: It’s, yeah, usually, again, businesses like yours.
184 00:14:25.840 ⇒ 00:14:30.069 Uttam Kumaran: The only thing I will say is when on Black Friday and holidays.
185 00:14:30.450 ⇒ 00:14:33.429 Uttam Kumaran: They’re gonna ask us, like, how can we get this, like.
186 00:14:33.430 ⇒ 00:14:34.830 Shivani Amar: We don’t do sales.
187 00:14:34.830 ⇒ 00:14:48.109 Uttam Kumaran: Oh, yeah, that’s right, yeah. Oh, you don’t. Or maybe new product launch or something, but otherwise, yeah, I feel like from e-commerce, that’s usually what we see is, like, holiday, they’re, like, ratchet, like, heard everything on as fast.
188 00:14:48.110 ⇒ 00:14:50.359 Shivani Amar: I don’t like it, it’s not like…
189 00:14:50.360 ⇒ 00:14:58.060 Uttam Kumaran: Well, because they’re… it’s like, they’re about, we’re gonna spend $100 million in, like, 48 hours on ads, like, they’re, like, refreshing, and I’m like, alright.
190 00:14:58.060 ⇒ 00:15:02.589 Ghalib Suleiman: Black Friday, Valentine’s Day, Mother’s Day, these are three, three rather common days. Yeah.
191 00:15:02.590 ⇒ 00:15:04.939 Shivani Amar: For electrolytes, we don’t…
192 00:15:04.940 ⇒ 00:15:08.050 Ghalib Suleiman: We don’t have any kind of seasonal spike. Every day is just fair game.
193 00:15:08.950 ⇒ 00:15:15.520 Shivani Amar: Jason’s like, I have, like, a bouquet of raspberry-flavored element I’m gonna be giving my wife for Valentine’s Day.
194 00:15:15.520 ⇒ 00:15:21.360 Jason Wu: Whenever I need to make it up, I buy more sparkling black cherry.
195 00:15:25.780 ⇒ 00:15:28.130 Shivani Amar: Gollum, have you tried Element?
196 00:15:28.470 ⇒ 00:15:31.870 Ghalib Suleiman: I… no, I’m afraid I haven’t, and perhaps embarrassingly so.
197 00:15:31.870 ⇒ 00:15:34.719 Shivani Amar: I told Utam this too, like, just send me your address and…
198 00:15:34.720 ⇒ 00:15:35.710 Jason Wu: Yeah, please.
199 00:15:36.030 ⇒ 00:15:39.839 Uttam Kumaran: Do you have any electrolytes? Like, do you have any electrolyte powers.
200 00:15:39.840 ⇒ 00:15:41.980 Ghalib Suleiman: No, I drink water, you know, that’s…
201 00:15:41.980 ⇒ 00:15:43.610 Shivani Amar: You just drink water?
202 00:15:43.610 ⇒ 00:15:44.440 Jason Wu: Oh, God.
203 00:15:44.440 ⇒ 00:15:47.359 Shivani Amar: I used to drink just water, and now look at me, my water is not…
204 00:15:47.360 ⇒ 00:15:50.910 Uttam Kumaran: Actually, that’s kind of a great answer. I just drank water.
205 00:15:50.910 ⇒ 00:15:52.449 Ghalib Suleiman: Gatorade, or what?
206 00:15:52.900 ⇒ 00:15:57.349 Uttam Kumaran: No, it’s sodium, magnesium, potassium, no sugar.
207 00:15:57.520 ⇒ 00:15:58.070 Uttam Kumaran: Yeah.
208 00:15:58.690 ⇒ 00:15:59.990 Uttam Kumaran: address.
209 00:15:59.990 ⇒ 00:16:00.990 Jason Wu: Thank you, Vinn, I’m happy to do it.
210 00:16:00.990 ⇒ 00:16:05.809 Ghalib Suleiman: I’ll email you my address, yeah. Like, post-workout, should I have one of these?
211 00:16:05.810 ⇒ 00:16:06.580 Jason Wu: Yes!
212 00:16:06.580 ⇒ 00:16:07.060 Shivani Amar: a lot.
213 00:16:07.060 ⇒ 00:16:10.000 Uttam Kumaran: Pre-workout, during workout, post-workout.
214 00:16:10.410 ⇒ 00:16:12.460 Shivani Amar: I don’t know if you drink, but on a Saturday night…
215 00:16:12.460 ⇒ 00:16:13.290 Ghalib Suleiman: Two, yeah.
216 00:16:13.290 ⇒ 00:16:15.380 Shivani Amar: sometimes helpful on a Saturday morning.
217 00:16:15.380 ⇒ 00:16:17.390 Ghalib Suleiman: Oh, does this actually help with that stuff? I mean, we don’.
218 00:16:19.680 ⇒ 00:16:23.440 Jason Wu: Yeah, some people, some people add the element to their drink.
219 00:16:23.440 ⇒ 00:16:25.189 Ghalib Suleiman: Just to get done, so gauche.
220 00:16:25.190 ⇒ 00:16:28.680 Jason Wu: I can’t be in a nice cocktail bar and do that sort of thing. You’d be surprised.
221 00:16:28.730 ⇒ 00:16:32.279 Uttam Kumaran: The safety of my home, away from the basketball.
222 00:16:32.280 ⇒ 00:16:37.830 Jason Wu: If you go to… if you go to our website, like, it actually, like, we have recipes, like, with cocktails.
223 00:16:37.830 ⇒ 00:16:38.699 Shivani Amar: Because people aren’t.
224 00:16:38.700 ⇒ 00:16:42.519 Uttam Kumaran: So, in Austin, there’s a bar that does Pedialyte smoothies.
225 00:16:42.680 ⇒ 00:16:43.030 Shivani Amar: Yeah.
226 00:16:43.030 ⇒ 00:16:46.100 Ghalib Suleiman: Sorry, guys, one more question. Who’s the demographic? Is it sort of…
227 00:16:46.100 ⇒ 00:16:54.689 Shivani Amar: The demographic that… and Jason, you can fill in, like, there’s highly… there’s people who are, like, very health-leaning, right? Like, who are…
228 00:16:55.730 ⇒ 00:17:10.830 Shivani Amar: maybe, like, intermittent fasting, doing, like, keto or paleo, like, that’s, like, a very specific audience. Then we also have, like, a category that we call industrial athletes that are people who are, like, on their feet all day in the sun, so, like, construction workers, and…
229 00:17:10.839 ⇒ 00:17:11.479 Ghalib Suleiman: Oh, sure, sure.
230 00:17:11.480 ⇒ 00:17:20.590 Shivani Amar: Like, maybe, like, nurses, people who are just, like, bustling all day long. Then you’ve got, like, you know, your marathon runners who are maybe, like, not
231 00:17:21.140 ⇒ 00:17:35.490 Shivani Amar: keto people, but they’re, like, doing an intense thing on their body, and they’re, like, realizing how important electrolytes are in their training process. And then you have people like me who just run a little bit dehydrated, and… and sometimes I’m hungover, and, like, I’m trying to figure.
232 00:17:35.490 ⇒ 00:17:36.120 Ghalib Suleiman: And it helps.
233 00:17:38.500 ⇒ 00:17:45.840 Jason Wu: Yeah, I would say if you could broaden that demographic, it’s anybody that is looking to take better control of their own health. That’s beautifully put.
234 00:17:46.250 ⇒ 00:17:47.449 Jason Wu: And, and you’ve got.
235 00:17:47.450 ⇒ 00:17:48.459 Ghalib Suleiman: It’s hard to argue with that statement.
236 00:17:48.460 ⇒ 00:18:04.529 Jason Wu: You’ve got the high-performance athletes that are looking to, obviously, like, identify what they want to put in their bodies. You’ve got the industrial athletes that Shivani mentioned, which are, you know, your construction workers, and anybody that’s just out of the sun. You’ve got the health workers.
237 00:18:04.850 ⇒ 00:18:10.100 Jason Wu: But then we’ve got the everyday heroes, that we call them, and those are the teachers, the coaches.
238 00:18:10.100 ⇒ 00:18:10.780 Ghalib Suleiman: Yeah.
239 00:18:10.780 ⇒ 00:18:18.959 Jason Wu: the parents that are driving their kids all around, you know, that just need something to kind of keep their… keep their balance a little bit there.
240 00:18:19.110 ⇒ 00:18:19.929 Shivani Amar: Moms who are pregnant.
241 00:18:19.930 ⇒ 00:18:20.300 Ghalib Suleiman: That’s speed.
242 00:18:20.300 ⇒ 00:18:20.720 Shivani Amar: and, like.
243 00:18:20.720 ⇒ 00:18:21.210 Jason Wu: I can see.
244 00:18:21.210 ⇒ 00:18:22.090 Shivani Amar: spending, like, a lot.
245 00:18:22.090 ⇒ 00:18:24.759 Jason Wu: Yeah, there’s a huge medical community You know, so…
246 00:18:25.530 ⇒ 00:18:33.600 Shivani Amar: That one’s interesting, and then, like, it’s like when my nephew is stomach sick, like, after… he’s 2, then they give him these, like, Pedialyte popsicles.
247 00:18:33.830 ⇒ 00:18:34.560 Ghalib Suleiman: Correct, yeah, yeah.
248 00:18:34.560 ⇒ 00:18:44.000 Shivani Amar: I really want to give him these Pedialyte popsicles, and now they’re, like, able to… he’s acquired a taste for Elements, so whenever he’s, like, has this little stomach thing after daycare, they, like, have some Elements, so it’s like…
249 00:18:44.730 ⇒ 00:18:46.610 Shivani Amar: For a lot of people.
250 00:18:47.020 ⇒ 00:18:53.630 Uttam Kumaran: Yeah, I’ve taken electrolytes, like, for a long time, I used to run a lot, and element is great, it’s just no sugar, and it has a lot of.
251 00:18:53.630 ⇒ 00:18:54.400 Ghalib Suleiman: Yeah, that’s a big one.
252 00:18:54.400 ⇒ 00:18:56.609 Uttam Kumaran: Most… mostly it’s, like, sodium depletion that…
253 00:18:56.720 ⇒ 00:19:03.959 Uttam Kumaran: Yeah. But, yeah, and I think it’s, like, yeah, for… in terms of mass market, it’s, like, the highest product quality, for sure. Yeah. Easily, yeah.
254 00:19:04.430 ⇒ 00:19:09.040 Shivani Amar: Although, Liquid Ivy Super Bowl commercial was a weird one.
255 00:19:09.040 ⇒ 00:19:10.449 Uttam Kumaran: Which, what was theirs again?
256 00:19:10.450 ⇒ 00:19:12.070 Shivani Amar: It was, like, singing toilets.
257 00:19:12.070 ⇒ 00:19:14.529 Jason Wu: You mean, was it liquid death or liquid IV?
258 00:19:14.530 ⇒ 00:19:16.450 Shivani Amar: I’m sorry, liquid IV.
259 00:19:16.870 ⇒ 00:19:17.809 Uttam Kumaran: Let’s get today.
260 00:19:17.810 ⇒ 00:19:19.449 Jason Wu: I saw Liquid Death’s commercial.
261 00:19:19.450 ⇒ 00:19:20.439 Shivani Amar: Is that… am I…
262 00:19:20.440 ⇒ 00:19:22.400 Uttam Kumaran: Oh, it was, it was, it was, yeah, you’re right, you’re right.
263 00:19:22.400 ⇒ 00:19:23.000 Shivani Amar: Liquid I…
264 00:19:23.000 ⇒ 00:19:23.460 Uttam Kumaran: Toilets.
265 00:19:23.800 ⇒ 00:19:26.709 Shivani Amar: Yeah, it was, like, the singing toilets was liquid IV.
266 00:19:27.230 ⇒ 00:19:27.630 Jason Wu: There you go.
267 00:19:27.630 ⇒ 00:19:28.830 Shivani Amar: I’ll send it to you, Jason.
268 00:19:28.830 ⇒ 00:19:34.260 Uttam Kumaran: I don’t even say… I don’t even say their name anymore. You know? I don’t even know who they are.
269 00:19:34.500 ⇒ 00:19:38.459 Uttam Kumaran: I’m gonna slip… I’m gonna… I’m gonna go home and slap it out of people’s hands.
270 00:19:39.010 ⇒ 00:19:44.059 Uttam Kumaran: Although, it’s funny, in Austin, I go to parties, and they have a bowl of Element, like…
271 00:19:44.320 ⇒ 00:19:47.429 Uttam Kumaran: Packs and things out, just for people to… to take.
272 00:19:47.850 ⇒ 00:19:54.800 Shivani Amar: That’s what happens when I go to parties in New York now, too. It’s just, like, like, people just… it’s just, like, bowls of elder.
273 00:19:54.800 ⇒ 00:19:56.349 Uttam Kumaran: Let me look up your order.
274 00:19:56.350 ⇒ 00:19:57.200 Jason Wu: Yeah, I mean, I mean.
275 00:19:57.460 ⇒ 00:20:00.749 Uttam Kumaran: here’s a perfect use case for both Utz and VinGallup, like.
276 00:20:00.760 ⇒ 00:20:03.499 Jason Wu: You know, when you’re going to trade shows.
277 00:20:03.740 ⇒ 00:20:07.449 Jason Wu: and you’re on your feet all day, you want, you want elevated your water bottle.
278 00:20:07.900 ⇒ 00:20:09.480 Ghalib Suleiman: Yeah. Bare that’s in mind.
279 00:20:09.480 ⇒ 00:20:10.560 Jason Wu: piece of that, yeah.
280 00:20:10.820 ⇒ 00:20:14.870 Jason Wu: Having had to do trade shows before in my past life, I could.
281 00:20:14.870 ⇒ 00:20:15.560 Uttam Kumaran: Yeah.
282 00:20:16.200 ⇒ 00:20:20.050 Jason Wu: I know we’re kind of tangenting, and I apologize because I was on the call.
283 00:20:20.050 ⇒ 00:20:21.300 Shivani Amar: Enough pricing, yeah.
284 00:20:21.300 ⇒ 00:20:23.409 Jason Wu: Yeah, can you open up that spreadsheet again one more time on the.
285 00:20:23.410 ⇒ 00:20:26.120 Ghalib Suleiman: Yes, yes, yes, and again, I’ll be sending this over email after this, but.
286 00:20:26.120 ⇒ 00:20:28.090 Jason Wu: Okay, but, I mean, it sounded…
287 00:20:28.090 ⇒ 00:20:28.840 Ghalib Suleiman: spin.
288 00:20:30.190 ⇒ 00:20:34.830 Jason Wu: So, real quickly also, similar to the question that you had with the.
289 00:20:35.220 ⇒ 00:20:42.039 Jason Wu: I also see Gorgeous up being, like, 1.1 million. That’s on a daily basis? Is that just because they’ve got a funky API as well?
290 00:20:42.530 ⇒ 00:20:50.669 Ghalib Suleiman: Yes, that’s actually exactly what you’re seeing here. And what Tom’s gonna do, certainly before committing to price or anything, is just
291 00:20:51.080 ⇒ 00:20:59.080 Ghalib Suleiman: figuring out what tables do you actually need, right? Do you actually need all this data, or do you need less? And how frequently should the syncs
292 00:20:59.180 ⇒ 00:21:05.260 Ghalib Suleiman: run on a per-source basis. Maybe some data is more urgent than others. Got it.
293 00:21:05.770 ⇒ 00:21:06.290 Jason Wu: Okay.
294 00:21:06.290 ⇒ 00:21:06.840 Ghalib Suleiman: Go ahead.
295 00:21:07.070 ⇒ 00:21:09.240 Jason Wu: Oh, no, I’m sorry, go ahead, finish your thought.
296 00:21:09.390 ⇒ 00:21:14.870 Ghalib Suleiman: No, that’s it, yeah, just in this way, you know, maybe some of these will sink less, per month, for example.
297 00:21:14.870 ⇒ 00:21:15.260 Jason Wu: Okay.
298 00:21:15.260 ⇒ 00:21:17.879 Ghalib Suleiman: Ultimately, our pricing model is the number of rows sync per month.
299 00:21:18.260 ⇒ 00:21:33.449 Jason Wu: Got it. And then, obviously, these are just kind of the current connectors that are there, more connectors that are there later on. So the $250 million, as an example that you’re using, is the pricing just based on number of rows multiplied by the tier in column E?
300 00:21:33.620 ⇒ 00:21:36.600 Ghalib Suleiman: Yeah, they’re not, multiplied, so these are tiers…
301 00:21:36.720 ⇒ 00:21:39.590 Ghalib Suleiman: how shall I say this? If… The party?
302 00:21:39.590 ⇒ 00:21:41.659 Jason Wu: Between 0 and 10 million, it’s 7080.
303 00:21:41.660 ⇒ 00:21:46.180 Ghalib Suleiman: Yeah, exactly. And then the subsequent… the subsequent batches, right? Up to 25.
304 00:21:46.370 ⇒ 00:21:56.439 Ghalib Suleiman: So there’s a gradation, right? So initially… Oh, go, go, okay. Your first 10 million, right, will cost this much per million, and then your 10 to 25 million batch
305 00:21:56.780 ⇒ 00:21:59.660 Ghalib Suleiman: costs this much, and so on. Does that make sense?
306 00:21:59.660 ⇒ 00:22:00.119 Jason Wu: Which is cheaper.
307 00:22:00.120 ⇒ 00:22:01.330 Ghalib Suleiman: than the previous one.
308 00:22:01.330 ⇒ 00:22:05.140 Shivani Amar: It’s not like once you hit a level, then you just suddenly go across that row.
309 00:22:05.140 ⇒ 00:22:11.180 Ghalib Suleiman: No, no, it’s, yeah, subsequent. So, subsequent batches are cheaper than previous ones, rather than the whole thing.
310 00:22:11.930 ⇒ 00:22:12.940 Jason Wu: I see.
311 00:22:13.100 ⇒ 00:22:21.719 Jason Wu: Okay, first 10 million coming over at 15 million.
312 00:22:21.870 ⇒ 00:22:24.300 Jason Wu: Coming in at $31.90.
313 00:22:24.300 ⇒ 00:22:24.730 Ghalib Suleiman: Yep.
314 00:22:24.730 ⇒ 00:22:27.420 Jason Wu: Next 25 million coming in at 1368, okay.
315 00:22:27.420 ⇒ 00:22:41.869 Ghalib Suleiman: Yeah, yeah, and so on, yep. And committing to this number actually gets you a 10% discount on these guys. These are overage pricing, but when you do commit on an annual plan to a monthly number, the price here comes from this with a 10% discount.
316 00:22:42.930 ⇒ 00:22:43.970 Jason Wu: And is that, when you say…
317 00:22:43.970 ⇒ 00:22:47.320 Shivani Amar: And then on top of it, if we do annual, you get 20… like, if you take.
318 00:22:47.320 ⇒ 00:22:51.390 Ghalib Suleiman: Yeah, so on monthly itself, yeah, so you could pay monthly.
319 00:22:51.680 ⇒ 00:22:52.260 Shivani Amar: Oh…
320 00:22:52.260 ⇒ 00:22:53.659 Ghalib Suleiman: So, you get charged.
321 00:22:53.660 ⇒ 00:22:56.570 Shivani Amar: We’re looking at… A distracted version.
322 00:22:56.570 ⇒ 00:23:03.020 Ghalib Suleiman: The overages themselves are discounted, and then you get a further discount of annual here, due to this movement.
323 00:23:03.020 ⇒ 00:23:11.340 Jason Wu: Okay. With a monthly commitment of… okay, let’s just use the example of $250 million. With a monthly commitment, is there a rollover if we don’t use it?
324 00:23:11.340 ⇒ 00:23:13.159 Ghalib Suleiman: There’s no… no, there’s no rollover.
325 00:23:13.160 ⇒ 00:23:13.880 Jason Wu: Okay.
326 00:23:13.890 ⇒ 00:23:14.760 Shivani Amar: Yep.
327 00:23:14.760 ⇒ 00:23:17.010 Ghalib Suleiman: And so some people may start lower.
328 00:23:17.010 ⇒ 00:23:17.980 Shivani Amar: Yeah, do you recommend…
329 00:23:17.980 ⇒ 00:23:32.870 Ghalib Suleiman: And it’s almost like, just start with, like, let’s say we know we’re gonna ingest, like, like, I’m, like, kind of like, why would we put $250 if we’re not there yet? Totally, totally, exactly, yes. There is nothing wrong with a midterm increase in commit, so what some people do, and in fact, that’s actually what I’d recommend.
330 00:23:32.870 ⇒ 00:23:39.899 Ghalib Suleiman: Jason, for what it’s worth, $2.50 is actually about almost exactly double what you’re doing today with all…
331 00:23:39.960 ⇒ 00:23:41.960 Ghalib Suleiman: The current six.
332 00:23:41.960 ⇒ 00:23:44.449 Shivani Amar: I think it was at, like, $126 million, right?
333 00:23:44.450 ⇒ 00:24:02.700 Ghalib Suleiman: It was at something like… actually, let me just do… yeah, it was this. This is what’s happening today. At any moment, you can increase your monthly commitments, right? And so, maybe you start lower, and then, say, two months in, right, realize, oh, hang on, the numbers are higher. You really have two options. You can go, well, we’re only going to commit tomorrow, we’ll just keep paying monthly overages.
334 00:24:03.170 ⇒ 00:24:09.979 Ghalib Suleiman: At the overage pricing. Or you may go, well, if we’re going to pay monthly overages every month, let’s get the 10% discount and increase our commitments midterm.
335 00:24:09.980 ⇒ 00:24:10.670 Shivani Amar: Yeah.
336 00:24:10.670 ⇒ 00:24:11.270 Jason Wu: Okay. Got it.
337 00:24:11.270 ⇒ 00:24:11.790 Ghalib Suleiman: Does that make sense?
338 00:24:11.790 ⇒ 00:24:14.939 Jason Wu: So, the only re… the only reason to commit
339 00:24:15.190 ⇒ 00:24:20.030 Jason Wu: to a number is for additional 10%, right? It’s not about locking people to appear.
340 00:24:20.030 ⇒ 00:24:24.659 Ghalib Suleiman: No, no, no, it’s the 20% discount you get versus monthly. That’s all.
341 00:24:24.660 ⇒ 00:24:25.200 Jason Wu: Credit.
342 00:24:25.200 ⇒ 00:24:26.510 Ghalib Suleiman: So, you know, you may choose to do monthly.
343 00:24:26.510 ⇒ 00:24:30.959 Shivani Amar: is 31 days per month? Is that kind of how you’re doing the math?
344 00:24:31.620 ⇒ 00:24:39.519 Ghalib Suleiman: It’s till… it’s really month end. So, you know, there’s 30-31, and then February’s in there, but it’s his calendar months.
345 00:24:39.520 ⇒ 00:24:40.469 Shivani Amar: Yeah, okay.
346 00:24:44.390 ⇒ 00:24:45.440 Shivani Amar: Okay.
347 00:24:45.440 ⇒ 00:24:51.129 Ghalib Suleiman: Yeah, it sounds like, Tom, probably the next step is for you to just, I think, sort out which tables you want and what schedules.
348 00:24:51.130 ⇒ 00:24:51.500 Shivani Amar: Exactly.
349 00:24:51.500 ⇒ 00:25:00.010 Ghalib Suleiman: Sure. And then one thing I’ll also share, you know, from our perspective, and the reason why, you know, we tend to recommend PolyThomes, one, of course, I think for the support.
350 00:25:00.010 ⇒ 00:25:07.659 Uttam Kumaran: But also, you’ll go… you see, and I can share with you, like, Fivetrans pricing. It’s, like, typically…
351 00:25:07.920 ⇒ 00:25:09.699 Uttam Kumaran: 30-50% higher.
352 00:25:09.880 ⇒ 00:25:12.560 Uttam Kumaran: With way worse support.
353 00:25:14.200 ⇒ 00:25:18.060 Shivani Amar: Yeah, I don’t think we’re at a place where we’re, like, Let’s…
354 00:25:18.060 ⇒ 00:25:20.529 Uttam Kumaran: No, but just to give you a… just to give you a frame of reference.
355 00:25:20.910 ⇒ 00:25:24.770 Uttam Kumaran: It’s on, like, this industry, and, like, they’re the next nearest, yeah.
356 00:25:24.770 ⇒ 00:25:34.140 Shivani Amar: I think… I think we’re totally aligned that the next step is you saying, like, we wouldn’t get stored daily anyway, so, like, a realistic version of the number of rows is X. Let’s put that in.
357 00:25:34.140 ⇒ 00:25:34.770 Ghalib Suleiman: Yes.
358 00:25:35.180 ⇒ 00:25:46.470 Shivani Amar: do some forward-looking of, like, the next sources we’re bringing on are A, B, and C, and then we’ll get a feel for, like, okay, like, maybe we sign a monthly for $100 million because we realize we’re not updating stored regularly.
359 00:25:46.470 ⇒ 00:25:47.290 Ghalib Suleiman: Exactly.
360 00:25:47.290 ⇒ 00:25:53.579 Shivani Amar: And then we say 150 million, how do we want to…
361 00:25:53.580 ⇒ 00:25:54.250 Ghalib Suleiman: Exactly.
362 00:25:54.250 ⇒ 00:25:54.790 Shivani Amar: Right?
363 00:25:54.790 ⇒ 00:25:55.180 Ghalib Suleiman: Yeah, next up.
364 00:25:55.580 ⇒ 00:25:56.020 Ghalib Suleiman: Natural.
365 00:25:56.020 ⇒ 00:26:03.219 Shivani Amar: annual amount, because we’re fine to pay probably the annual amount. I’m guessing is that we’ll want the discount, but we can, like…
366 00:26:03.220 ⇒ 00:26:10.629 Uttam Kumaran: Yeah, usually, like, I’m estimating that in, like, 8 to 12 months, it’ll… we’ll have a run rate that’s, like, fair… close to, like, accurate.
367 00:26:10.630 ⇒ 00:26:12.100 Shivani Amar: Exactly, yeah.
368 00:26:12.460 ⇒ 00:26:18.550 Uttam Kumaran: You know, where we have a ton of reporting customers, we know the pacing, we should have most of the connectors in.
369 00:26:18.550 ⇒ 00:26:18.910 Shivani Amar: Exactly.
370 00:26:18.910 ⇒ 00:26:26.849 Uttam Kumaran: And, like, we’re not gonna be like, oh, we’re gonna 50% our rows. It may, like, gradually be within our range, probably 8 to 12 months from now.
371 00:26:27.600 ⇒ 00:26:28.180 Shivani Amar: That makes sense.
372 00:26:28.180 ⇒ 00:26:33.909 Ghalib Suleiman: Yeah, given you can make a midterm recommendation, undercommitting is… Perhaps, obviously, better than overcommitting.
373 00:26:33.910 ⇒ 00:26:38.030 Shivani Amar: Okay, that sounds good. Without a rollover, that sounds right.
374 00:26:38.030 ⇒ 00:26:39.769 Uttam Kumaran: What a salesman.
375 00:26:39.770 ⇒ 00:26:44.419 Ghalib Suleiman: No, no, I mean, it’s just true. You know, it’s an annual contract, we do get more money out of it.
376 00:26:44.420 ⇒ 00:26:45.190 Uttam Kumaran: Yeah, for the company.
377 00:26:45.190 ⇒ 00:26:48.530 Ghalib Suleiman: That’s the relationship aspect, it doesn’t really work out for us in the long term.
378 00:26:48.530 ⇒ 00:26:49.050 Shivani Amar: Yeah.
379 00:26:49.050 ⇒ 00:26:50.220 Ghalib Suleiman: Guessing people to overcommit.
380 00:26:50.630 ⇒ 00:26:59.640 Ghalib Suleiman: It’s a very short-term move that can only result in anger and dissatisfaction. But, you know, I used to run data teams in a past life, and so I used to sort of buy from vendors, and…
381 00:26:59.880 ⇒ 00:27:05.290 Ghalib Suleiman: Again, just go with some base that you’re confident in, rather than anticipate too much.
382 00:27:05.290 ⇒ 00:27:05.740 Shivani Amar: Perfect.
383 00:27:05.740 ⇒ 00:27:08.060 Jason Wu: Golub, does the record size matter with your pricing?
384 00:27:08.060 ⇒ 00:27:14.479 Ghalib Suleiman: No, no, it’s just a record is a record, and it all goes into the wash. Big records, small records.
385 00:27:16.600 ⇒ 00:27:24.569 Shivani Amar: Well, thank you so much for giving us the rundown. I know you’re gonna send that spreadsheet over, and then Utham, I think between me, you, and Jason, we can kind of figure out what our estimated number is.
386 00:27:24.570 ⇒ 00:27:27.560 Uttam Kumaran: Yeah, maybe I’ll come to our tech meeting on Wednesday with that.
387 00:27:27.560 ⇒ 00:27:28.439 Shivani Amar: That would be…
388 00:27:28.440 ⇒ 00:27:34.070 Ghalib Suleiman: You should be able to, because you can look at our sync history, or even query that through API, right, to get numbers.
389 00:27:34.070 ⇒ 00:27:35.959 Uttam Kumaran: Totally, she’ll be able to, and then on…
390 00:27:35.960 ⇒ 00:27:36.869 Ghalib Suleiman: Let me know how I can assist.
391 00:27:37.220 ⇒ 00:27:39.500 Uttam Kumaran: Yeah, I’ll bring the figures, and then we can just make a call.
392 00:27:39.500 ⇒ 00:27:48.709 Ghalib Suleiman: Yeah, I’ll get sales up on our side to just make sure everyone here has access to this, because they made this for you. And then I’ll also just send status on the three integrations I talked about.
393 00:27:48.710 ⇒ 00:27:57.249 Shivani Amar: Thank you so much, and then on the, let’s just ingest the things that we can, I’ll let you in with them talk about what that means for what’s next, because I’m like, let’s go!
394 00:27:58.620 ⇒ 00:27:59.310 Ghalib Suleiman: Yeah, yeah.
395 00:27:59.310 ⇒ 00:28:00.949 Shivani Amar: Okay, perfect. Thank you so much.
396 00:28:00.950 ⇒ 00:28:05.469 Ghalib Suleiman: Cool. Okay, I have another meeting, but you will hear from me later today. Okay, thank you.
397 00:28:05.470 ⇒ 00:28:07.160 Shivani Amar: Enjoy Cabo!
398 00:28:07.160 ⇒ 00:28:07.740 Ghalib Suleiman: Of course.