Meeting Title: Analysis Planning Session Date: 2024-08-05 Meeting participants: Jakob Kagel, Nicolas Sucari, Uttam Kumaran
WEBVTT
1 00:02:52.590 ⇒ 00:02:53.459 Nicolas Sucari: Hey? You, Tom?
2 00:02:55.940 ⇒ 00:02:56.690 Uttam Kumaran: Hey!
3 00:02:58.120 ⇒ 00:03:00.330 Nicolas Sucari: Is, is there another like
4 00:03:01.210 ⇒ 00:03:02.690 Nicolas Sucari: meeting, invite.
5 00:03:02.840 ⇒ 00:03:05.940 Nicolas Sucari: or this time? Because I I was not seeing that one.
6 00:03:06.420 ⇒ 00:03:09.023 Uttam Kumaran: No, I just put the link in the in the meeting.
7 00:03:11.090 ⇒ 00:03:12.809 Uttam Kumaran: in the meeting
8 00:03:12.900 ⇒ 00:03:14.160 Uttam Kumaran: calendar. But
9 00:03:14.310 ⇒ 00:03:15.780 Uttam Kumaran: yeah, I’m not sure.
10 00:03:17.560 ⇒ 00:03:18.860 Nicolas Sucari: Okay, or
11 00:03:19.960 ⇒ 00:03:20.910 Nicolas Sucari: I’m here.
12 00:03:22.340 ⇒ 00:03:23.530 Jakob Kagel: How’s it going? Everyone.
13 00:03:23.940 ⇒ 00:03:24.380 Uttam Kumaran: You.
14 00:03:24.380 ⇒ 00:03:25.140 Nicolas Sucari: Jacob.
15 00:03:27.570 ⇒ 00:03:29.010 Jakob Kagel: Happy Monday.
16 00:03:32.490 ⇒ 00:03:33.240 Jakob Kagel: Yep.
17 00:03:35.918 ⇒ 00:03:41.659 Nicolas Sucari: Okay, should we wait? I don’t know if Bryce is gonna join right or done. He’s moving.
18 00:03:41.660 ⇒ 00:03:45.270 Uttam Kumaran: Yeah, yeah, let’s just continue. I think he’s moving right now.
19 00:03:47.130 ⇒ 00:03:50.679 Nicolas Sucari: Okay. I think you talked with Ben
20 00:03:50.720 ⇒ 00:03:52.140 Nicolas Sucari: on Friday.
21 00:03:54.080 ⇒ 00:03:55.790 Uttam Kumaran: Yeah, in terms of.
22 00:03:55.790 ⇒ 00:03:56.540 Nicolas Sucari: Next.
23 00:03:56.540 ⇒ 00:03:59.357 Uttam Kumaran: Yeah, in terms of stuff for evidence. So
24 00:04:00.670 ⇒ 00:04:15.379 Uttam Kumaran: what we’re gonna need to work with them on is basically they want to put together. A diagram about the customer journey. And kind of like this is beyond the evidence. Stuff. So that stuff is all great. I’m just gonna make a few more updates and push that
25 00:04:16.053 ⇒ 00:04:27.206 Uttam Kumaran: a couple of things. They they wanted that again. I think we can probably all collaborate on one they they wanted. They’re doing this presentation.
26 00:04:28.150 ⇒ 00:04:46.149 Uttam Kumaran: Basically to explore like an M and a opportunity with a with a local retailer of pool parts. Basically, it’s this company that represents a lot of local retail shops in the pool industry. Basically, they wanna put together a couple of slides around
27 00:04:46.618 ⇒ 00:04:56.199 Uttam Kumaran: like the customer journey of retail versus the customer journey on online. And then ideally, what it would look like to have touch points across both.
28 00:04:56.857 ⇒ 00:05:00.059 Uttam Kumaran: So I’m probably gonna throw together something
29 00:05:00.420 ⇒ 00:05:21.009 Uttam Kumaran: in figma later today, and then probably send it to you all again. What I’m thinking of is like just walking through like a sample customer of like. Here’s if they go into the stores. And here’s kind of like the data that’s collected. Here’s kind of like what you lose. Here’s the opportunity that we have. Like people go to pool parts.com. We retarget them via email.
30 00:05:21.010 ⇒ 00:05:36.394 Uttam Kumaran: However, they do lose out on not having like a physical place to go and then kind of like, show them a little bit of an outline of Hey, if you guys have retail stores and you have an online presence. There’s a lot of opportunity for like in store pickup,
31 00:05:36.760 ⇒ 00:05:38.490 Uttam Kumaran: for retargeting
32 00:05:39.168 ⇒ 00:05:53.069 Uttam Kumaran: and then also for allowing people to have data on what products are selling. So kind of is probably, you know, kind of similar to your world at home. Depot, Jacob. But I’ll probably this is a little bit of like an open, ended
33 00:05:53.160 ⇒ 00:06:00.520 Uttam Kumaran: thing that I want to get to them by Wednesday. So if not today, I’ll probably work on it tomorrow. But basically just
34 00:06:01.013 ⇒ 00:06:04.519 Uttam Kumaran: showing like how a customer walks through and like kind of the data flywheel that.
35 00:06:05.050 ⇒ 00:06:16.839 Jakob Kagel: Yeah, that sounds that sounds good. Yeah. Happy to help there. So I guess, like, basically, you’re saying, like this retail company, like they don’t have any online presence at all, like they just sell out of the store. Basically.
36 00:06:17.180 ⇒ 00:06:25.910 Uttam Kumaran: Yeah, they’re like, they represent like a buyers group, meaning they have like hundreds, I guess, of stores.
37 00:06:26.242 ⇒ 00:06:53.777 Uttam Kumaran: Who are like individual store owners that kind of pull together as part of like a buyers group, and then can negotiate with distributors and with manufacturers. For, like favorable pricing, you know, like compared to. If, like, we owned a store and like we go to a distributor, you probably don’t get great pricing, but if you were to control hundreds of thousands of dollars, maybe millions in spend. Then you can, you know, kind of move the needle a lot. The problem is, they have no like centralized online presence, which is why they’re kind of looking into
38 00:06:54.080 ⇒ 00:06:56.539 Uttam Kumaran: pull parts, which is, you know, one of the
39 00:06:56.560 ⇒ 00:07:10.023 Uttam Kumaran: there’s probably only like 2 or 3 online retailers. For this sort of stuff and pool parts is definitely the most is like the easiest to use, and has the most promise for like kind of like a next generation of like online
40 00:07:10.440 ⇒ 00:07:14.810 Uttam Kumaran: Ecom. But of course, pool parts has no real, significant, retail presence.
41 00:07:15.079 ⇒ 00:07:30.150 Uttam Kumaran: and so kind of the goal of like conversations are having with the company is like, what’s basically they’re thinking about buying pool parts. And it’s kind of like, okay, what are the benefits that they could see. So our responsibility as part of that is just to kind of tell. Help them paint a story of like
42 00:07:30.510 ⇒ 00:07:32.300 Uttam Kumaran: the data that you could get
43 00:07:32.786 ⇒ 00:07:45.030 Uttam Kumaran: and like kind of tell a little bit about the customer journey. We brainstormed a little bit with them, and they talk, you know things like pick up and store things like being able to say what products are selling in different parts of the country.
44 00:07:46.290 ⇒ 00:07:51.220 Uttam Kumaran: you know, things like that it’s kind of like what we’ll try to tell, so I’ll probably do something in
45 00:07:51.880 ⇒ 00:07:56.109 Uttam Kumaran: big jam and then try to move it into a into like a slide deck.
46 00:07:56.310 ⇒ 00:07:57.150 Jakob Kagel: Okay.
47 00:07:58.731 ⇒ 00:08:03.790 Jakob Kagel: that sounds good. Hold on. Someone’s knocking on my door to answer this. They keep knocking one. Sec.
48 00:08:04.980 ⇒ 00:08:05.850 Jakob Kagel: Yeah.
49 00:08:05.850 ⇒ 00:08:08.470 Nicolas Sucari: Utah. Probably we can
50 00:08:08.740 ⇒ 00:08:16.699 Nicolas Sucari: like, I know, that this is better to do in in a figma or yeah. Get some slides to explain. All of the
51 00:08:17.050 ⇒ 00:08:18.100 Nicolas Sucari: At
52 00:08:18.570 ⇒ 00:08:36.360 Nicolas Sucari: customers walk through on the different touch points that they have on the online store and on the retail store. But do we need to set up kind of this sales evm page for pull parts where we can have like the actual data show. And and we can yeah
53 00:08:36.360 ⇒ 00:08:49.489 Nicolas Sucari: work on having. I don’t know amount of sales by by State or in different parts of the country, different kind of products. Like, we can actually show this data easily on an evidence page
54 00:08:49.600 ⇒ 00:08:53.030 Nicolas Sucari: regarding everything about sales, right?
55 00:08:53.170 ⇒ 00:09:06.260 Uttam Kumaran: Yeah, they’re not really trying to show data. This is purely just. For like an investor presentation, it’s purely just showing like a sample, it’s showing opportunity. So this is a lot like the stuff. We didn’t evidence consider that closed
56 00:09:07.060 ⇒ 00:09:08.790 Uttam Kumaran: a couple of things. But
57 00:09:09.030 ⇒ 00:09:17.239 Uttam Kumaran: I mean, yeah, basically, they just want like a few slides around. If you were to walk through an existing customer journey, and then one where.
58 00:09:17.240 ⇒ 00:09:17.800 Nicolas Sucari: Welcome!
59 00:09:17.800 ⇒ 00:09:22.460 Uttam Kumaran: Working together like what are what are new opportunities and things like that? So.
60 00:09:22.460 ⇒ 00:09:32.999 Jakob Kagel: Yeah, I mean, for sure, I think the big one obviously is right. It’s like you can kind of like track the purchase like behavior from like what they buy in store and online, like
61 00:09:33.700 ⇒ 00:09:43.389 Jakob Kagel: simultaneously. And that can kind of maybe better inform to like how you stock the store or whatnot. I mean, yeah, I don’t think we mentioned, of course, that, like 90% of
62 00:09:43.550 ⇒ 00:09:46.049 Jakob Kagel: their customers only buy one thing.
63 00:09:46.900 ⇒ 00:09:47.550 Jakob Kagel: But.
64 00:09:47.550 ⇒ 00:09:57.909 Uttam Kumaran: That’s that’s what they’re mentioning. I mean, they’re again. They’re they’re talking, these guys will. When they purchase a company. They’ll have all the data. But that’s also the pitch. That’s why pool parts is even interested.
65 00:09:58.010 ⇒ 00:10:05.700 Uttam Kumaran: because there’s there’s a huge there would be, I think, a lot of benefit for pool parts to have a big retail presence
66 00:10:06.421 ⇒ 00:10:10.220 Uttam Kumaran: and like we don’t sell to any professionals. Really that much, you know. So.
67 00:10:10.740 ⇒ 00:10:12.592 Jakob Kagel: Yeah, for sure.
68 00:10:13.770 ⇒ 00:10:27.769 Jakob Kagel: I mean, I it depends, I guess, like how many retail stores they have, and like where they’re located. But it’s like, ideally. You can probably, like, hold a lot of your inventory low key in the retail stores even, and like ship out of those. And then you need less like I don’t know.
69 00:10:28.330 ⇒ 00:10:30.689 Jakob Kagel: But anyway, that’s just a thought.
70 00:10:31.080 ⇒ 00:10:38.999 Uttam Kumaran: Yeah. So that’s what I’ll probably like this is, I mean, I don’t know, like I’ve worked on a lot of these like investor presentations before. It’s all vanity.
71 00:10:39.280 ⇒ 00:10:39.665 Jakob Kagel: Right
72 00:10:40.050 ⇒ 00:10:42.209 Uttam Kumaran: Like none of this is gonna be like.
73 00:10:42.330 ⇒ 00:10:46.789 Uttam Kumaran: I would say, take the hat off of like, what’s realistic. This is more of like
74 00:10:46.960 ⇒ 00:10:48.779 Uttam Kumaran: a vision type thing.
75 00:10:48.780 ⇒ 00:10:49.400 Jakob Kagel: Sure.
76 00:10:49.400 ⇒ 00:10:53.540 Uttam Kumaran: I’ll probably yeah, I mean. But again, it’s like, I think it’s
77 00:10:53.810 ⇒ 00:11:00.899 Uttam Kumaran: the thing we’re thinking out here is like, really thinking outside of the box. Basically, my pitch to them was, Hey, you guys should put together
78 00:11:00.940 ⇒ 00:11:04.109 Uttam Kumaran: like an example of like
79 00:11:05.520 ⇒ 00:11:25.789 Uttam Kumaran: like a John DOE walking into us just a retail store now, and buying kind of the information and stuff you get on them. Now, a John DOE walking into pool parts.com buying, and what we know. And then a world where those things are combined and like what the opportunities are. Right. That’s and they were like, Okay, that’s perfect. Just whip something together. So that was it.
80 00:11:28.630 ⇒ 00:11:38.150 Uttam Kumaran: So I might just, yeah. I don’t think I’m gonna have time today, so I probably will try to do that tomorrow, but I probably won’t spend more than like an hour or 2 on. That should be pretty quick.
81 00:11:40.760 ⇒ 00:11:44.970 Jakob Kagel: Sounds good. Yeah. Just let me know. Happy to look at anything or or happy to help.
82 00:11:45.390 ⇒ 00:11:45.970 Uttam Kumaran: Okay.
83 00:11:46.810 ⇒ 00:11:47.400 Nicolas Sucari: Okay.
84 00:11:47.990 ⇒ 00:12:15.459 Nicolas Sucari: okay, so on that topic, we don’t need to be working on anything. Obviously, on what you just told. Utami will be creating some slides or doing something else. If you need any help, let us know. But then we can start working on something with Kim. Right? We can start talking with her, trying to understand what is the customers that we want to submit and targeting that new campaigns that we were talking the week before, right.
85 00:12:16.080 ⇒ 00:12:24.890 Uttam Kumaran: Yeah. So that’s the part I’m probably I want to hand off is all the stuff related with Kim and her starting the pro versus consumer like activation.
86 00:12:25.162 ⇒ 00:12:30.059 Uttam Kumaran: Now, I don’t know. Nico, do you have that that note I sent you, or like the the issue? Maybe we can. Just
87 00:12:30.320 ⇒ 00:12:31.770 Uttam Kumaran: yeah.
88 00:12:37.260 ⇒ 00:12:38.690 Nicolas Sucari: Yeah, I created, just
89 00:12:38.760 ⇒ 00:12:39.910 Nicolas Sucari: what do you send me?
90 00:12:45.570 ⇒ 00:12:46.460 Uttam Kumaran: Okay, cool.
91 00:12:46.982 ⇒ 00:12:55.560 Uttam Kumaran: Yeah. So basically, what we’ve done so far is I’ve just talked to. We’ve had several conversations with Kim after our initial. Like
92 00:12:55.600 ⇒ 00:13:00.719 Uttam Kumaran: all the data we wrapped up for proverse consumer. Basically, she’s she’s gonna start.
93 00:13:00.750 ⇒ 00:13:06.410 Uttam Kumaran: She wants to start a campaign around targeting the existing pro customers as well as
94 00:13:06.845 ⇒ 00:13:09.609 Uttam Kumaran: using the scraping method that I found.
95 00:13:10.099 ⇒ 00:13:16.209 Uttam Kumaran: That’s really cheap to just get, you know, the like other pro customers that we haven’t got in.
96 00:13:16.772 ⇒ 00:13:29.600 Uttam Kumaran: So basically like, that’s the kind of pitches to. Still, whatever she needs help with from our side on that, the one of the key things is, we need to work with her on like a notion plan of like something that we can present to Ben.
97 00:13:29.620 ⇒ 00:13:32.770 Uttam Kumaran: So that’s like the initial thing is like thinking through
98 00:13:34.030 ⇒ 00:13:37.309 Uttam Kumaran: like what is like, how many people are going after what the
99 00:13:37.430 ⇒ 00:13:40.039 Uttam Kumaran: like copying campaign is gonna look like
100 00:13:40.851 ⇒ 00:13:43.650 Uttam Kumaran: and then like what our expectations are. So that’s
101 00:13:43.780 ⇒ 00:13:45.559 Uttam Kumaran: going to be a notion, Doc.
102 00:13:46.533 ⇒ 00:14:07.879 Uttam Kumaran: And then that if we can get to Ben and get approved, and that’ll be great. Additionally, I want to include in that how we want to go after new pro customers. I forward this to you, Nico, so maybe you can find it. But previously I use this service called Outscraper. Basically, you can just scrape Google Maps for like, really really cheap
103 00:14:08.310 ⇒ 00:14:15.900 Uttam Kumaran: and so the goal there is like we would use that to scrape pro listings, get their emails and then add them to
104 00:14:16.720 ⇒ 00:14:17.470 Uttam Kumaran: targeting.
105 00:14:18.465 ⇒ 00:14:22.709 Uttam Kumaran: So the I think the 1st thing here is just like a plan around these 2.
106 00:14:23.243 ⇒ 00:14:27.140 Uttam Kumaran: And then the second thing is like helping Kim execute on whatever she needs, for these.
107 00:14:36.220 ⇒ 00:14:39.019 Nicolas Sucari: True, use your account road scraper account.
108 00:14:40.050 ⇒ 00:14:40.520 Uttam Kumaran: Yeah.
109 00:14:40.760 ⇒ 00:14:46.140 Uttam Kumaran: And I forwarded you email with, like, how I did this, or it’s maybe it’s a notion should have everything.
110 00:14:46.420 ⇒ 00:14:57.020 Jakob Kagel: I mean, I guess, like the work on our end to do is gonna be mainly kind of like tracking right like tracking our like existing pros versus like tracking
111 00:14:57.503 ⇒ 00:15:02.669 Jakob Kagel: to like these new ones like that. You’re saying, like, basically, we scraped like with the leads.
112 00:15:04.120 ⇒ 00:15:15.230 Uttam Kumaran: Yeah, I think the work is both just like whatever she needs in terms of like putting together these materials. We’re gonna own, of course, like reporting on the email performance. And
113 00:15:15.450 ⇒ 00:15:20.370 Uttam Kumaran: like, of course, like, if we see customer purchase behavior from that category.
114 00:15:20.660 ⇒ 00:15:23.899 Jakob Kagel: Yeah, one thing we should definitely think about here is like
115 00:15:24.820 ⇒ 00:15:50.589 Jakob Kagel: we need like we should take like a snapshot table at like the beginning, basically like anytime, if we’re trying to track like the like, you know, the growth in pro or anything like that, I feel like we. It might be useful for us to have a snapshot table, because I don’t know our existing table, right? I mean, there’s no timestamp on the pro. It’s just like basic good gonna be updated like every time the table refreshes.
116 00:15:50.590 ⇒ 00:15:52.940 Uttam Kumaran: Oh, of like when someone turned pro.
117 00:15:52.940 ⇒ 00:15:56.249 Jakob Kagel: When someone turned pro. But it’s also just like, basically like.
118 00:15:56.580 ⇒ 00:15:57.790 Jakob Kagel: yeah, I mean.
119 00:15:58.490 ⇒ 00:16:09.439 Jakob Kagel: it depends. But what? Yeah, exactly like, what I’m saying is like you, you. We do this all the time, like we have to do this like with transactions and like our segmentation like at home depot. Because, yeah, it’s like.
120 00:16:09.640 ⇒ 00:16:32.220 Jakob Kagel: if you if you just look at it at the end, you’re just gonna have the pro segmentation like from the end, like, you’re not gonna have, like what it is at the beginning, because the table is constantly refreshing, and you won’t be able to go back and look and see like, okay, we had 1,600 pros at the beginning. Now we have 1,700 pros at the end kind of you’ll just know that you have 1,700 at the end.
121 00:16:32.840 ⇒ 00:16:42.149 Uttam Kumaran: Yeah, I mean, you could probably. Yeah, you could probably have. Ryan probably have a ticket for Ryan once you have that scope to just like make a slowly changing dimension table.
122 00:16:42.210 ⇒ 00:16:50.029 Uttam Kumaran: which is gonna be like tracking. The is pro is pool pro true or false, basically like when it changed.
123 00:16:50.820 ⇒ 00:16:55.910 Jakob Kagel: Yeah, I don’t know if we need to make a whole table. I mean we can’t. I don’t think it’s a bad idea if we do. But
124 00:16:55.940 ⇒ 00:17:03.519 Jakob Kagel: I was just saying, like, basically take like our shopify customers table that has the flag in it and just snapshot it with the date, like, say, like
125 00:17:03.860 ⇒ 00:17:10.639 Jakob Kagel: whatever August 5th snapshot, and then, like, you can go back and query against that table and see like at the end.
126 00:17:11.300 ⇒ 00:17:27.260 Uttam Kumaran: Yeah, I think I think we’re basically talking about the same thing. I think the slowly changing dimension table is the same table. It’s not a new table. But it basically just tracks that field, and then we’ll tell you like, when that field changed there’ll be a new row. And that way you have in one table
127 00:17:27.359 ⇒ 00:17:38.859 Uttam Kumaran: the history of that field, and then you’ll just have like a subset of that table that’s called valid. And then that’s like the valid records. And then anytime the pool pro flag changes
128 00:17:39.773 ⇒ 00:17:40.979 Uttam Kumaran: which basically.
129 00:17:40.980 ⇒ 00:17:41.570 Nicolas Sucari: Entry.
130 00:17:41.570 ⇒ 00:17:51.469 Uttam Kumaran: They go from false to true, you get a new entry, so it’s either people becoming pro or new people getting added. You’ll have that date, timestamp, and then
131 00:17:51.580 ⇒ 00:17:56.520 Uttam Kumaran: you can use that as the timestamp for the historical reporting. So I think that’s yeah. That that makes sense.
132 00:17:56.520 ⇒ 00:17:57.250 Jakob Kagel: Sure.
133 00:17:57.760 ⇒ 00:17:59.050 Jakob Kagel: That sounds good.
134 00:17:59.270 ⇒ 00:17:59.880 Uttam Kumaran: Okay.
135 00:18:00.150 ⇒ 00:18:01.949 Jakob Kagel: But that will help us for sure. Yeah.
136 00:18:02.200 ⇒ 00:18:14.239 Uttam Kumaran: Yeah, so I think this will like, I kind of walk through a bunch of stuff. But yeah, basically, I think this is, we kind of established with Kim that this is important. And I, I, Ben, knows that we’re we’re gonna bring him like a plan.
137 00:18:14.280 ⇒ 00:18:17.230 Uttam Kumaran: So I would say that this. Probably just
138 00:18:17.280 ⇒ 00:18:24.970 Uttam Kumaran: you probably just have to spend some time with Kim, but otherwise like it should be pretty straightforward. And like, this is the
139 00:18:25.100 ⇒ 00:18:38.030 Uttam Kumaran: this is kind of like what we’re gonna own the the reporting on this. So I I just wanna make sure that we’re able to do that. But then, of course, like anything around these like scraping things. It’s just whatever she needs. So.
140 00:18:38.510 ⇒ 00:18:44.497 Jakob Kagel: Sounds good. Okay, I mean, yeah, Nico, I mean, I’m happy to meet with Kim this week.
141 00:18:44.830 ⇒ 00:18:45.729 Nicolas Sucari: Yeah, I am.
142 00:18:45.730 ⇒ 00:18:46.330 Jakob Kagel: Too.
143 00:18:46.710 ⇒ 00:18:47.400 Jakob Kagel: I don’t know.
144 00:18:47.400 ⇒ 00:18:52.569 Nicolas Sucari: I think we need to to set up a meeting for for tomorrow. I mean.
145 00:18:52.890 ⇒ 00:18:55.670 Nicolas Sucari: yeah. Or or first, st we need to go to
146 00:18:55.750 ⇒ 00:19:08.119 Nicolas Sucari: to outscraper and see if we can get that list 1st and then go with Kim and try to understand what she needs for that notion. Page I mean the marketing plan she can give us, like the
147 00:19:08.290 ⇒ 00:19:16.310 Nicolas Sucari: the guidelines of what she needs, and we can create it, I think. But it would be good if we do it in cooperation with her, so that
148 00:19:16.340 ⇒ 00:19:22.409 Nicolas Sucari: we can present that to to Ben. And we help her getting the data she needs to.
149 00:19:22.430 ⇒ 00:19:25.450 Nicolas Sucari: Yeah, to set up that campaign later. Right?
150 00:19:25.850 ⇒ 00:19:28.780 Nicolas Sucari: But yeah, I can try asking her for a meeting
151 00:19:29.270 ⇒ 00:19:33.439 Nicolas Sucari: for tomorrow. And we can. Yeah, just start that process.
152 00:19:34.650 ⇒ 00:19:38.370 Uttam Kumaran: Yeah. And then I’m gonna see whether I can. I have the recording
153 00:19:38.540 ⇒ 00:19:42.589 Uttam Kumaran: from when we we kind of walk through this whole thing with her at some point.
154 00:19:42.590 ⇒ 00:19:44.269 Jakob Kagel: That would be great. Yeah.
155 00:19:44.600 ⇒ 00:19:45.240 Uttam Kumaran: Yeah.
156 00:19:45.770 ⇒ 00:19:47.150 Uttam Kumaran: Everything. Great.
157 00:19:48.320 ⇒ 00:19:49.490 Uttam Kumaran: Okay. Cool.
158 00:19:50.440 ⇒ 00:19:51.080 Nicolas Sucari: Okay.
159 00:19:51.080 ⇒ 00:19:53.070 Uttam Kumaran: Sorry I was just. I was pulling up the recording.
160 00:19:56.630 ⇒ 00:19:57.410 Nicolas Sucari: Nice.
161 00:19:58.350 ⇒ 00:19:59.159 Nicolas Sucari: Okay,
162 00:20:00.030 ⇒ 00:20:01.819 Nicolas Sucari: don’t think we have a
163 00:20:02.430 ⇒ 00:20:10.180 Nicolas Sucari: anything else for now. If we don’t need to work on anything specific of on evidence.
164 00:20:10.642 ⇒ 00:20:15.319 Nicolas Sucari: I mean, we can create a ticket. Ask Ryan to help us on creating that table
165 00:20:15.420 ⇒ 00:20:17.879 Nicolas Sucari: with the timestamps of the
166 00:20:18.090 ⇒ 00:20:23.719 Nicolas Sucari: prose segments so that we can start tracking that. And probably we can use that in the
167 00:20:23.740 ⇒ 00:20:27.020 Nicolas Sucari: pro versus consumer analysis evidence. Page, right?
168 00:20:27.300 ⇒ 00:20:27.930 Uttam Kumaran: Yeah.
169 00:20:31.320 ⇒ 00:20:31.980 Nicolas Sucari: Okay.
170 00:20:33.501 ⇒ 00:20:37.260 Nicolas Sucari: any other task that we have here that we need to
171 00:20:37.360 ⇒ 00:20:39.399 Nicolas Sucari: prioritized for this week?
172 00:20:39.590 ⇒ 00:20:40.739 Nicolas Sucari: What do you think.
173 00:20:41.617 ⇒ 00:20:45.179 Uttam Kumaran: No, I think that’s it. I mean again, like, I think, that we have 4.
174 00:20:45.410 ⇒ 00:20:46.640 Uttam Kumaran: We have kind of like.
175 00:20:46.640 ⇒ 00:20:47.210 Nicolas Sucari: Yeah.
176 00:20:47.380 ⇒ 00:20:54.000 Uttam Kumaran: We have like 3 new segments that we’re going after right. We have new pro customers existing pro and new consumers
177 00:20:54.060 ⇒ 00:21:00.990 Uttam Kumaran: I want to like have pro launched and kind of stuff working there and then, basically, we can begin to report on that
178 00:21:01.310 ⇒ 00:21:03.889 Uttam Kumaran: with her. And then.
179 00:21:04.390 ⇒ 00:21:10.609 Uttam Kumaran: ideally, we then can also there, I have a little bit of a plan around. How do we can go after some new
180 00:21:10.955 ⇒ 00:21:23.364 Uttam Kumaran: consumers? But really, this pro thing, if we can like bear hug and just stay really close with her. This is the biggest thing, like, I I think, like we have enough momentum towards, and we kind of got approvals from everybody on tackling.
181 00:21:23.750 ⇒ 00:21:29.759 Uttam Kumaran: Otherwise, I think this is the that’s the main thing. I mean, the evidence. Push went really well, they really love everything they saw.
182 00:21:30.747 ⇒ 00:21:38.730 Uttam Kumaran: Yeah. And then, yeah, I think we, we really just push on this. And then Bryce is continuing to work on weather stuff
183 00:21:40.190 ⇒ 00:21:48.199 Uttam Kumaran: I kind of do. Wanna try to put together something on there. So I’m gonna get a sense from him on like timeline.
184 00:21:48.960 ⇒ 00:21:55.029 Uttam Kumaran: But that may be the only other thing I like prioritize. If he’s not gonna be able to do it in time. Because
185 00:21:55.532 ⇒ 00:22:00.327 Uttam Kumaran: I think we basically have the path forward there so if he can’t do it, then.
186 00:22:00.650 ⇒ 00:22:02.270 Uttam Kumaran: Jacob, I’ll probably just
187 00:22:02.586 ⇒ 00:22:07.910 Uttam Kumaran: hand it to you. But otherwise I think this pro stuff there’s a lot of low hanging fruit. So.
188 00:22:08.730 ⇒ 00:22:09.440 Uttam Kumaran: okay.
189 00:22:09.470 ⇒ 00:22:18.159 Jakob Kagel: So one last quick question is like on the scrapes, like leads or whatnot. Does that do we have it in a table like in Snowflake already? Or where does that.
190 00:22:18.160 ⇒ 00:22:18.780 Nicolas Sucari: No, it.
191 00:22:18.780 ⇒ 00:22:19.350 Jakob Kagel: Just.
192 00:22:20.790 ⇒ 00:22:23.979 Nicolas Sucari: I think we need to to get here and try to
193 00:22:24.110 ⇒ 00:22:25.020 Nicolas Sucari: right.
194 00:22:25.020 ⇒ 00:22:26.090 Uttam Kumaran: Yeah.
195 00:22:26.090 ⇒ 00:22:27.200 Nicolas Sucari: A lot of paper.
196 00:22:27.200 ⇒ 00:22:39.448 Uttam Kumaran: Let’s not do this right now, just look through that email I sent you, which it had like instructions on how I kind of like walk through this. And then, basically, we just need to go into out scraper. We need to.
197 00:22:40.490 ⇒ 00:22:45.830 Uttam Kumaran: I have the instructions a little bit on like how I filter to just the
198 00:22:46.400 ⇒ 00:22:51.970 Uttam Kumaran: leads that we need. And then yeah, we could download that and then
199 00:22:52.040 ⇒ 00:22:53.750 Uttam Kumaran: put that into a table.
200 00:22:54.320 ⇒ 00:22:55.120 Jakob Kagel: Okay.
201 00:22:55.672 ⇒ 00:22:57.280 Uttam Kumaran: Again. This is like.
202 00:22:57.410 ⇒ 00:23:00.060 Uttam Kumaran: it’s pretty easy. It’s like, not that complicated. So.
203 00:23:00.060 ⇒ 00:23:02.629 Jakob Kagel: Right right. I was just curious. If we had it already or not.
204 00:23:02.630 ⇒ 00:23:10.509 Uttam Kumaran: No, we don’t. We don’t have it in there yet. I just, I basically did like a example in this email. And then kind of found the price.
205 00:23:10.890 ⇒ 00:23:20.510 Uttam Kumaran: So I think with Kim. We agreed that, like we wanted to look at some place in North Florida as like a test so that all we can just get into the plan of like what the initial test is.
206 00:23:20.520 ⇒ 00:23:24.001 Uttam Kumaran: And then, once we approved, we’ll be able to just
207 00:23:25.250 ⇒ 00:23:29.619 Uttam Kumaran: rip it, basically. So our scraper literally just gives you a Csv file.
208 00:23:31.370 ⇒ 00:23:33.930 Uttam Kumaran: and then we could just put that on Snowflake pretty easily.
209 00:23:33.930 ⇒ 00:23:37.820 Jakob Kagel: Yeah, for sure. Okay, cool. That makes sense. That’s helpful. Context. Yeah.
210 00:23:37.820 ⇒ 00:23:46.330 Uttam Kumaran: And then I think she’s gonna need should. Probably there’s probably gonna be a couple of things we want to improve on the email side. Once you start working with her on this, so I’m sure that’ll come up as well.
211 00:23:49.820 ⇒ 00:23:50.440 Nicolas Sucari: Okay.
212 00:23:56.230 ⇒ 00:24:02.897 Nicolas Sucari: Great autumn. Anything else on on what we discussed with Ben and Dan on Friday, that
213 00:24:03.310 ⇒ 00:24:16.610 Nicolas Sucari: Dan was wanting something interactive. Kind of a landing page to show what we can do, as like a tool to show this opportunity that they are having or nothing that we need to do. There.
214 00:24:16.610 ⇒ 00:24:21.769 Uttam Kumaran: No, I mean, like being frank. I’m done with evidence like, I don’t want to touch it for
215 00:24:22.050 ⇒ 00:24:24.279 Uttam Kumaran: forever. Okay, so like.
216 00:24:24.900 ⇒ 00:24:26.530 Uttam Kumaran: so, yeah, I mean.
217 00:24:26.530 ⇒ 00:24:27.800 Jakob Kagel: You both know.
218 00:24:27.990 ⇒ 00:24:37.675 Uttam Kumaran: Yeah, I I don’t want to touch it for quite a while. So just consider that like wrapped up everything, this will be just Google slides or something I need to get him to send us the
219 00:24:38.270 ⇒ 00:24:43.529 Uttam Kumaran: the slide deck. So I’ll probably send an email today asking for. But I told him Wednesday. So we have time.
220 00:24:44.810 ⇒ 00:24:45.570 Uttam Kumaran: Okay.
221 00:24:46.530 ⇒ 00:24:47.250 Nicolas Sucari: Perfect.
222 00:24:48.730 ⇒ 00:24:49.420 Uttam Kumaran: Okay.
223 00:24:50.400 ⇒ 00:24:55.859 Jakob Kagel: Sounds great. Y’all? Well, yeah. Be on the lookout for that meeting tomorrow, Nico, and then we can get the ball rolling with her.
224 00:24:56.530 ⇒ 00:24:57.350 Jakob Kagel: Yep.
225 00:24:57.350 ⇒ 00:24:58.080 Nicolas Sucari: Perfect.
226 00:24:58.180 ⇒ 00:25:00.329 Nicolas Sucari: Thank you. Guys, awesome.
227 00:25:00.330 ⇒ 00:25:01.590 Jakob Kagel: Have a great week.
228 00:25:02.070 ⇒ 00:25:02.570 Jakob Kagel: See ya.