Meeting Title: Weekly-Data-Review Date: 2024-03-29 Meeting participants: Bencohen, Uttam Kumaran
WEBVTT
1 00:00:43.960 ⇒ 00:00:44.710 Uttam Kumaran: Hey! Man!
2 00:00:44.920 ⇒ 00:00:46.140 bencohen: Hey? How’s it going.
3 00:00:46.350 ⇒ 00:00:47.449 Uttam Kumaran: Good! How are you?
4 00:00:48.220 ⇒ 00:00:51.960 bencohen: No complaints, no complaints. I can’t find them. The window
5 00:00:53.810 ⇒ 00:00:55.150 bencohen: There we go. Gotcha.
6 00:00:56.990 ⇒ 00:00:58.900 Uttam Kumaran: How’s that? How’s the week been.
7 00:01:00.360 ⇒ 00:01:01.000 bencohen: Good.
8 00:01:01.210 ⇒ 00:01:02.789 bencohen: No complaints. Really.
9 00:01:03.940 ⇒ 00:01:06.990 bencohen: Little this a little that I’m gonna go off. Video.
10 00:01:08.890 ⇒ 00:01:12.519 bencohen: are you gonna be on the 1030 with Patrick.
11 00:01:13.793 ⇒ 00:01:15.340 Uttam Kumaran: I may.
12 00:01:15.480 ⇒ 00:01:18.460 Uttam Kumaran: I have a couple other things we’re working on?
13 00:01:20.480 ⇒ 00:01:22.509 Uttam Kumaran: for marketing for Kim?
14 00:01:22.620 ⇒ 00:01:23.870 Uttam Kumaran: Okay. Now.
15 00:01:24.360 ⇒ 00:01:26.360 Uttam Kumaran: I may just have Patrick.
16 00:01:26.520 ⇒ 00:01:28.249 bencohen: I know about the other stuff.
17 00:01:30.080 ⇒ 00:01:34.260 bencohen: so okay, that’s fine. No problem. I mean, we just need him to take us through.
18 00:01:36.830 ⇒ 00:01:38.999 bencohen: You know we’re just gonna close it out with him.
19 00:01:39.520 ⇒ 00:01:40.300 Uttam Kumaran: Yeah, I think.
20 00:01:40.300 ⇒ 00:01:45.109 bencohen: Always add him later. But we just can’t let this linger. It can’t turn into like another
21 00:01:45.330 ⇒ 00:01:48.249 bencohen: kind of a salary feeling sort of a situation.
22 00:01:48.650 ⇒ 00:01:55.930 Uttam Kumaran: Yeah, I think just I would say, I pretty much basically told them exactly what I told you, which is, hey? Just make sure
23 00:01:57.540 ⇒ 00:02:04.269 Uttam Kumaran: to get the feedback often and quickly, and then also just establish, like what is remaining
24 00:02:05.110 ⇒ 00:02:06.900 Uttam Kumaran: on the work side for
25 00:02:07.302 ⇒ 00:02:11.629 Uttam Kumaran: the vital signs dashboard. And then we’re working directly with Kim basically on
26 00:02:11.910 ⇒ 00:02:13.400 Uttam Kumaran: stuff for her.
27 00:02:13.430 ⇒ 00:02:28.480 Uttam Kumaran: So I think her side, we’re basically figuring out directly with her. And we’re gonna kind of give her the keys to create dashboards and things like that. So that should be fine. But basically, I was like, yeah, just make sure to get feedback on the existing thing, and then establish what the remaining work is. So.
28 00:02:28.690 ⇒ 00:02:30.779 bencohen: Perfect, perfect, alright.
29 00:02:31.660 ⇒ 00:02:32.280 Uttam Kumaran: Cool.
30 00:02:32.280 ⇒ 00:02:39.199 bencohen: Take me through. I it’s gonna be short. I know you probably been focusing more on the the Map pool project and Kim stuff.
31 00:02:39.600 ⇒ 00:02:50.529 Uttam Kumaran: Yeah, I just just a couple of things. So one, yeah, we’ve been working really directly with him a couple of things that we’ve been doing one
32 00:02:52.190 ⇒ 00:03:09.299 Uttam Kumaran: we’ve been working on getting we got data from post pilot coming in automatically. So I worked with their team to get that Clavio data. So there was a, we’re getting a Clavio events. But it’s very expensive to get through from 5 Tran. And I basically
33 00:03:09.540 ⇒ 00:03:10.520 Uttam Kumaran: was like
34 00:03:10.800 ⇒ 00:03:22.139 Uttam Kumaran: guys I don’t want to spend like 500 600 bucks just on like one table to get from Clavio. So we wrote a little bit of that our own on our own. And we just launched that 2 days ago. So
35 00:03:22.740 ⇒ 00:03:33.911 Uttam Kumaran: that’s the cleavio data is all there and then. The last thing we’re doing is working on gathering conversions from each platform. So that’s the one that we didn’t have prior for Kim.
36 00:03:34.300 ⇒ 00:03:37.100 Uttam Kumaran: So basically, we’re on track to
37 00:03:38.280 ⇒ 00:03:50.920 Uttam Kumaran: pretty much close out her, her, overview her weekly overview dashboard as well as one deeper. Add level and content, level dashboard for her. So we’re we’ve been pretty much talking to her
38 00:03:50.970 ⇒ 00:04:03.870 Uttam Kumaran: almost every day about that work. The second thing is the intelligence testing. So we met with their team. We’ve kind of been doing a bit of an audit with Kim also on
39 00:04:03.900 ⇒ 00:04:07.459 Uttam Kumaran: price testing. So where prices all show up, both in.
40 00:04:07.480 ⇒ 00:04:09.362 Uttam Kumaran: adds another site.
41 00:04:10.170 ⇒ 00:04:17.259 Uttam Kumaran: we’ve been with our team. So we’re we have a meeting scheduled to Qa, our first test and kind of go live with it next week.
42 00:04:17.715 ⇒ 00:04:20.200 Uttam Kumaran: And so we’re just gonna be testing
43 00:04:20.663 ⇒ 00:04:22.579 Uttam Kumaran: prices on the variable speed.
44 00:04:22.690 ⇒ 00:04:32.628 Uttam Kumaran: the variable speed pumps, basically. So that will go live next week. The next thing we’ve been doing is working on
45 00:04:33.430 ⇒ 00:04:44.263 Uttam Kumaran: So now, pretty much, we’ve continued to work on stuff on the reliability side. So basically, every source now has alerting on if data is stale.
46 00:04:44.870 ⇒ 00:04:49.249 Uttam Kumaran: so we get an alert, basically like, Hey, there’s an issue.
47 00:04:49.420 ⇒ 00:04:58.170 Uttam Kumaran: We haven’t seen data from the source in like a day. We also are adding in testing to see when things are out of bounds. So I know initially, we talked about.
48 00:04:58.460 ⇒ 00:05:03.289 Uttam Kumaran: we talked about like anomaly detection and things like that. So basically, we can see if sales are
49 00:05:03.380 ⇒ 00:05:04.679 Uttam Kumaran: too wide.
50 00:05:05.880 ⇒ 00:05:17.090 Uttam Kumaran: and we get an alert. So again, I think overall the rate of which, like issues are happening are a lot lower. You know, maybe one every few weeks.
51 00:05:17.476 ⇒ 00:05:24.329 Uttam Kumaran: But basically are also our time to resolution is like a lot better basically know exactly where issues are coming from.
52 00:05:24.962 ⇒ 00:05:31.150 Uttam Kumaran: So that’s one thing I’m also testing out we’re testing out kind of just
53 00:05:31.860 ⇒ 00:05:43.379 Uttam Kumaran: for like, just to get a sense of like the space. But there’s a couple of new tools that came out for visualization. I kind of sent a little bit of a screenshot in the last email.
54 00:05:44.910 ⇒ 00:06:03.900 Uttam Kumaran: but there’s a tool that’s kind of really geared towards like daily super super operational data like it doesn’t have a lot of graphs and like visualizations for like historical analysis. But basically it looks like a stripe dashboard where you can do quick comparisons. So we’re exploring pushing data into there and seeing
55 00:06:03.920 ⇒ 00:06:06.680 Uttam Kumaran: if the experience is basically better than
56 00:06:07.282 ⇒ 00:06:22.139 Uttam Kumaran: like dash for either one or all of the dashboards. The nice thing is we, it basically is like plug and play, since we have all of our data tables already written. So not to just wanna test the Usability. And
57 00:06:22.190 ⇒ 00:06:33.129 Uttam Kumaran: basically just like, continue the canvas, the market for like what’s the best best like the I tool out there currently. The last thing I had a question about
58 00:06:33.150 ⇒ 00:06:40.049 Uttam Kumaran: was oh, 1 one more thing. So we’re also. I also spoke with Dan. Briefly, he.
59 00:06:40.080 ⇒ 00:06:46.440 Uttam Kumaran: I kind of sent him some results about like a Google map scrape. Basically, we scraped like
60 00:06:47.960 ⇒ 00:06:53.219 Uttam Kumaran: in the in like a specific like Long Island County, basically scrape 2 things, one.
61 00:06:53.700 ⇒ 00:06:55.630 Uttam Kumaran: all of the homes with
62 00:06:55.730 ⇒ 00:06:58.530 Uttam Kumaran: construction permits for pools.
63 00:06:59.370 ⇒ 00:07:03.870 Uttam Kumaran: And that you can get direct from the county office. So we basically have a list of every
64 00:07:04.110 ⇒ 00:07:05.610 Uttam Kumaran: house with a pool.
65 00:07:06.086 ⇒ 00:07:18.750 Uttam Kumaran: Second thing is also, we scrape Google maps listings for pool service pool cleaning, pool maintenance listings. We’re also able to get listings of all those service providers.
66 00:07:18.890 ⇒ 00:07:28.383 Uttam Kumaran: So I think Dan emailed me like a month ago, just saying like, Hey, have you? Have you guys done any scraping and just been like kind of tinkering with that
67 00:07:28.850 ⇒ 00:07:30.509 Uttam Kumaran: here and there as we have time.
68 00:07:30.700 ⇒ 00:07:33.490 Uttam Kumaran: So I’m planning on sending him a data set.
69 00:07:34.330 ⇒ 00:07:37.480 Uttam Kumaran: with just both of those for one specific county
70 00:07:39.360 ⇒ 00:07:44.789 Uttam Kumaran: and that also went into the kind of success we’ve been seeing on the direct mail side.
71 00:07:44.900 ⇒ 00:07:47.259 Uttam Kumaran: So I don’t know if you had any thoughts on
72 00:07:47.600 ⇒ 00:07:51.610 Uttam Kumaran: that whole scraping thing, or also the direct mail. So I message Kim, I was like
73 00:07:52.440 ⇒ 00:07:56.169 Uttam Kumaran: that. Data could be great for the direct mail stuff, seeing how successful
74 00:07:56.630 ⇒ 00:07:57.939 Uttam Kumaran: that’s been, too. So.
75 00:07:57.940 ⇒ 00:08:02.970 bencohen: That’s how we see it. I think you know, we see it like that. And then how we can just say to this, alright.
76 00:08:03.170 ⇒ 00:08:05.990 bencohen: do this over, basically the whole United States.
77 00:08:06.470 ⇒ 00:08:09.990 bencohen: And we can get more surgical. But that’s kind of where this is all going.
78 00:08:11.300 ⇒ 00:08:14.070 Uttam Kumaran: Think, seeing that direct mail campaign was
79 00:08:14.150 ⇒ 00:08:16.989 Uttam Kumaran: great. I mean the cost to do that was so low.
80 00:08:17.030 ⇒ 00:08:19.610 Uttam Kumaran: And I I was like.
81 00:08:19.630 ⇒ 00:08:25.939 Uttam Kumaran: we’re able to see basically all pool service providers, for, like the wholesale side, and then, as well as
82 00:08:25.950 ⇒ 00:08:27.660 Uttam Kumaran: the residential side, so
83 00:08:27.680 ⇒ 00:08:29.230 Uttam Kumaran: kind of been cool to see that.
84 00:08:29.510 ⇒ 00:08:31.950 bencohen: Yeah. Oh, yeah. Totally. Totally.
85 00:08:34.649 ⇒ 00:08:39.123 Uttam Kumaran: The last thing I want to ask was, so I actually
86 00:08:39.879 ⇒ 00:08:47.919 Uttam Kumaran: I was looking at rebate programs. I was just looking for rebate programs for my apartment. And I noticed that Austin actually subsidized
87 00:08:48.039 ⇒ 00:08:50.089 Uttam Kumaran: variable speed
88 00:08:50.629 ⇒ 00:08:52.359 Uttam Kumaran: pool pumps
89 00:08:52.899 ⇒ 00:08:58.309 Uttam Kumaran: like they give. They provide you like an energy rebate. Is that anything is that something you guys have like looked into.
90 00:08:58.450 ⇒ 00:08:59.359 bencohen: Yeah, we have.
91 00:08:59.530 ⇒ 00:09:00.359 Uttam Kumaran: Okay. Okay.
92 00:09:01.250 ⇒ 00:09:07.970 bencohen: It’s just. The issue is is we made like a rebate calculator. But it’s different for every location and.
93 00:09:07.970 ⇒ 00:09:08.730 Uttam Kumaran: Okay.
94 00:09:08.730 ⇒ 00:09:10.240 bencohen: Customer needs to do.
95 00:09:10.520 ⇒ 00:09:11.460 Uttam Kumaran: Yes.
96 00:09:11.460 ⇒ 00:09:24.209 bencohen: And I remember, I remember, like some level of customer service drain because they were like, Well, why can’t you just do it for us like to process it for us. We’re like you have to do it. It just create a lot of tickets. So
97 00:09:24.930 ⇒ 00:09:30.830 bencohen: we state, like in our descriptions that some are eligible, but we really shift the onus on to them.
98 00:09:31.290 ⇒ 00:09:34.090 bencohen: We probably could do it in a more.
99 00:09:34.770 ⇒ 00:09:39.579 bencohen: We could probably figure out how to make it make more noise about it.
100 00:09:39.630 ⇒ 00:09:41.180 bencohen: and also not
101 00:09:42.000 ⇒ 00:09:44.469 bencohen: make it seem like it’s something for us to do.
102 00:09:44.650 ⇒ 00:09:49.629 bencohen: but just haven’t put that much focus on it, but it’s it’s obviously a big thing.
103 00:09:52.040 ⇒ 00:09:55.989 bencohen: Just I remember some strain from it. So I you know, we’re just kind of
104 00:09:56.840 ⇒ 00:09:59.190 bencohen: didn’t didn’t want to like lead with it.
105 00:09:59.650 ⇒ 00:10:05.049 Uttam Kumaran: Yeah. I wonder if there’s any way, cause it is quite. It’s like a couple of 100 bucks.
106 00:10:05.350 ⇒ 00:10:06.099 bencohen: You know, it’s a lot.
107 00:10:06.100 ⇒ 00:10:09.989 Uttam Kumaran: And yeah, I wonder if, like, that’s a way
108 00:10:10.150 ⇒ 00:10:12.110 Uttam Kumaran: of integrating that into like
109 00:10:12.480 ⇒ 00:10:17.209 Uttam Kumaran: the price. Or, again, maybe this is a good way for us to run a test because
110 00:10:17.380 ⇒ 00:10:22.579 Uttam Kumaran: I was like Oh, damn! I didn’t know you could they would I? I knew they would do it for air conditioning and
111 00:10:22.660 ⇒ 00:10:25.029 Uttam Kumaran: things like that. But I didn’t know if that
112 00:10:25.370 ⇒ 00:10:27.240 Uttam Kumaran: the pool pumps are on that list.
113 00:10:27.240 ⇒ 00:10:27.990 bencohen: Yep. Awesome.
114 00:10:27.990 ⇒ 00:10:28.800 Uttam Kumaran: Oh, no way.
115 00:10:28.800 ⇒ 00:10:31.310 bencohen: But like there’s some places where they don’t qualify so like.
116 00:10:31.310 ⇒ 00:10:31.950 Uttam Kumaran: Oh, I see!
117 00:10:32.080 ⇒ 00:10:34.710 bencohen: Can’t lead with it on everything, because, like
118 00:10:34.730 ⇒ 00:10:37.839 bencohen: my zip code, it doesn’t mean anything.
119 00:10:38.440 ⇒ 00:10:39.039 bencohen: So I mean.
120 00:10:39.040 ⇒ 00:10:43.030 Uttam Kumaran: Maybe it’s just like Geo, it’s either like a Geo fence thing or
121 00:10:43.170 ⇒ 00:10:44.050 Uttam Kumaran: it’s
122 00:10:44.300 ⇒ 00:10:52.229 Uttam Kumaran: it’s like a follow up. But again, it’s you really for us. It’s important to do that to push the sale. It’s not really that.
123 00:10:52.260 ⇒ 00:10:55.420 Uttam Kumaran: I mean, we could do it as like to send people after, but
124 00:10:55.660 ⇒ 00:11:01.559 Uttam Kumaran: it would be great, for, like a Geo fenced area for those people to say, you may qualify for rebate.
125 00:11:02.130 ⇒ 00:11:05.450 Uttam Kumaran: And now your price is going to be like $300, less.
126 00:11:05.450 ⇒ 00:11:11.660 bencohen: Yup! Yup, yup! Especially if we’re doing it it with especially if we’re gonna do direct mail.
127 00:11:13.260 ⇒ 00:11:14.220 Uttam Kumaran: Yeah,
128 00:11:16.150 ⇒ 00:11:21.410 Uttam Kumaran: yeah, that may be interesting. Maybe I’m just gonna shoot a note to Kim. I just, I was wondering if you guys.
129 00:11:21.910 ⇒ 00:11:25.180 Uttam Kumaran: I assumed you guys had had done something with rebates before, but.
130 00:11:25.450 ⇒ 00:11:28.878 bencohen: Yeah, it just yeah, we have. We have. It’s it’s just
131 00:11:31.670 ⇒ 00:11:33.400 bencohen: it doesn’t fit. All. So
132 00:11:33.560 ⇒ 00:11:38.079 bencohen: the way we were marketing, especially because I saw it as a direct mail thing
133 00:11:38.100 ⇒ 00:11:43.329 bencohen: marketing on the Internet. You can be surgical, but not that surgical, you know, like.
134 00:11:44.760 ⇒ 00:11:51.540 bencohen: you know, like like, it’s a lot. It’s asking a lot of Kim and Mike to be like, All right. Well, this area code, can this? Can’t it just.
135 00:11:51.540 ⇒ 00:11:52.400 Uttam Kumaran: Yeah.
136 00:11:53.380 ⇒ 00:11:58.489 Uttam Kumaran: I think maybe it’s something just on checkout. And it’s like a go look up if you
137 00:11:58.840 ⇒ 00:12:01.329 Uttam Kumaran: can get rebates, because I think if you
138 00:12:01.670 ⇒ 00:12:11.340 Uttam Kumaran: I’m trying to think is like, if you if you’re eligible for the rebate, you probably are like, I’m just gonna buy because it’s gonna be way cheaper. So maybe it’s just pushing people to the
139 00:12:12.050 ⇒ 00:12:14.709 Uttam Kumaran: like. Go check. If you could get a rebate.
140 00:12:15.250 ⇒ 00:12:19.330 Uttam Kumaran: and we maintain a list of like states like I don’t know. I think it’s.
141 00:12:19.330 ⇒ 00:12:26.890 bencohen: Well, the thing is, you think of the user experience of that like, hey, go check, and then come by. Not good. Do you want them to just buy and then check
142 00:12:27.460 ⇒ 00:12:29.160 bencohen: and not annoyance about it.
143 00:12:29.390 ⇒ 00:12:33.079 Uttam Kumaran: Yeah, I I mean, certainly we have to be out of the loop. It’s just
144 00:12:33.650 ⇒ 00:12:39.739 Uttam Kumaran: it’s just like, I mean, I think about like buying an Amazon like Nest, or like the Google Nest. Thermostat right, like
145 00:12:39.830 ⇒ 00:12:42.999 Uttam Kumaran: Austin, will give you like 50 bucks off that or 30 bucks off that
146 00:12:43.849 ⇒ 00:12:50.050 Uttam Kumaran: but then you then you go back to Amazon. You buy it. But maybe I should look into actually how Google does the
147 00:12:50.450 ⇒ 00:12:53.029 Uttam Kumaran: how they push the rebate like messaging
148 00:12:53.630 ⇒ 00:13:00.009 Uttam Kumaran: but certainly, like we’re we’re not. We’re not like we’re not on the hook to like, verify, or give you the rebate.
149 00:13:00.060 ⇒ 00:13:02.229 Uttam Kumaran: But I think I should just want to see.
150 00:13:02.445 ⇒ 00:13:03.090 bencohen: They’ll do their.
151 00:13:03.510 ⇒ 00:13:03.930 Uttam Kumaran: Messaging!
152 00:13:03.930 ⇒ 00:13:12.550 bencohen: Yeah, check that, because the way we felt it was was that because we mentioned it, customers were asking us to fulfill it like they thought that.
153 00:13:13.555 ⇒ 00:13:13.960 Uttam Kumaran: Okay.
154 00:13:14.253 ⇒ 00:13:17.479 bencohen: Like a agent, you know. Agent service kind of a thing.
155 00:13:18.500 ⇒ 00:13:20.040 Uttam Kumaran: Yeah. I wonder?
156 00:13:22.020 ⇒ 00:13:23.940 Uttam Kumaran: Yeah, that’s that’s tough.
157 00:13:25.460 ⇒ 00:13:27.836 bencohen: Anyway, there might be a we just don’t know.
158 00:13:28.350 ⇒ 00:13:28.960 Uttam Kumaran: Okay.
159 00:13:29.920 ⇒ 00:13:34.210 bencohen: Alright. I think that’s good for today. So let’s we’ll we’ll catch up on Monday.
160 00:13:34.430 ⇒ 00:13:40.580 Uttam Kumaran: Okay, cool. And then, yeah, I’m hoping that we can have all the the test running and results coming in
161 00:13:40.840 ⇒ 00:13:46.570 Uttam Kumaran: next week. And then again. Kim’s dashboard and things, I think, should all be ready very soon.
162 00:13:48.370 ⇒ 00:13:57.329 Uttam Kumaran: It’s been good. It’s been good working with her, too. She’s like Super quick, and we’ve been making a ton of. There’s just so many things on the add side, so many integration. So it’s been
163 00:13:57.460 ⇒ 00:13:58.386 Uttam Kumaran: nice to
164 00:13:58.940 ⇒ 00:14:02.070 Uttam Kumaran: like, get answers really quickly and kind of move through this. So.
165 00:14:02.340 ⇒ 00:14:09.440 bencohen: Yeah, no, she’s she’s the best. There’s no doubt she’s quick. She’s smart, she get. She understands the big picture. She’s really something.
166 00:14:09.740 ⇒ 00:14:10.310 Uttam Kumaran: Yeah.
167 00:14:11.280 ⇒ 00:14:13.069 bencohen: Great. Okay. Alright.
168 00:14:13.470 ⇒ 00:14:15.079 Uttam Kumaran: Thanks, Ben, I’ll talk to you.
169 00:14:15.080 ⇒ 00:14:16.739 bencohen: Alright, bye, bye, bye.