Meeting Title: Kim <> Brainforge - Marketing-Weekly-Meeting Date: 2024-07-18 Meeting participants: Uttam Kumaran, Nicolas Sucari, Kim Todaro
WEBVTT
1 00:00:57.920 ⇒ 00:00:58.899 Nicolas Sucari: Thank him.
2 00:00:59.440 ⇒ 00:01:00.340 kim todaro: Yeah guys.
3 00:01:00.850 ⇒ 00:01:01.380 Uttam Kumaran: How’s it?
4 00:01:01.380 ⇒ 00:01:03.530 kim todaro: Hey? Good! How are you?
5 00:01:03.530 ⇒ 00:01:04.330 Uttam Kumaran: Good.
6 00:01:06.690 ⇒ 00:01:09.750 kim todaro: Are you guys? I mean, not. Well, are you in an office today?
7 00:01:09.980 ⇒ 00:01:13.590 Uttam Kumaran: No, I’m just. I’m in New York. Actually, I’m just at a friend’s house.
8 00:01:13.960 ⇒ 00:01:15.020 kim todaro: Oh, nice!
9 00:01:15.280 ⇒ 00:01:16.260 Uttam Kumaran: Yeah, just visit.
10 00:01:16.260 ⇒ 00:01:17.810 kim todaro: You’re usually in Austin, right?
11 00:01:17.810 ⇒ 00:01:19.139 Uttam Kumaran: Usually in Austin, yeah.
12 00:01:19.140 ⇒ 00:01:20.000 kim todaro: Yeah, okay.
13 00:01:20.270 ⇒ 00:01:22.290 kim todaro: I’m about 20 min from New York.
14 00:01:22.600 ⇒ 00:01:23.520 Uttam Kumaran: Oh, nice!
15 00:01:23.520 ⇒ 00:01:24.770 kim todaro: Really, close, yeah.
16 00:01:25.180 ⇒ 00:01:28.720 Uttam Kumaran: Nice. Yeah, I just have some other meetings here in the city this
17 00:01:28.740 ⇒ 00:01:31.430 Uttam Kumaran: this week, just like a few days. So slowly visit.
18 00:01:31.430 ⇒ 00:01:31.990 kim todaro: Ice.
19 00:01:33.090 ⇒ 00:01:40.599 Uttam Kumaran: I got what’s sometime I wanna get head up to the warehouse and go see Chuck and everybody. But it’s kind of a it’s kind of a drive.
20 00:01:41.360 ⇒ 00:01:45.880 kim todaro: I know it’s a drive. I only met Chuck once in person.
21 00:01:46.350 ⇒ 00:01:47.710 Uttam Kumaran: Oh, nice. Okay.
22 00:01:48.010 ⇒ 00:01:53.210 kim todaro: Yeah. He was at this, the convention that I had to go to he was there.
23 00:01:53.610 ⇒ 00:01:54.010 Uttam Kumaran: Yeah.
24 00:01:54.180 ⇒ 00:01:56.009 kim todaro: So I got to meet him there.
25 00:01:57.680 ⇒ 00:01:58.510 Uttam Kumaran: Nice.
26 00:01:58.760 ⇒ 00:02:05.694 Uttam Kumaran: Okay? Well, I guess, like main thing today, I so I talked to ben last week we were mainly talking about
27 00:02:06.330 ⇒ 00:02:09.750 Uttam Kumaran: if we were to send those like 1,600 or so
28 00:02:10.177 ⇒ 00:02:12.439 Uttam Kumaran: emails so like the folks that
29 00:02:12.670 ⇒ 00:02:19.200 Uttam Kumaran: we classified as pro, we want to like, try to reactivate them. What do we want to do and base? Basically
30 00:02:19.410 ⇒ 00:02:22.740 Uttam Kumaran: from Ben. He was like, I kind of want to see like the full plan.
31 00:02:23.173 ⇒ 00:02:26.400 Uttam Kumaran: I think we asked. We asked, basically like.
32 00:02:27.810 ⇒ 00:02:29.940 Uttam Kumaran: do you want us to have a
33 00:02:30.160 ⇒ 00:02:33.659 Uttam Kumaran: like a landing page or something like that? And I message him
34 00:02:33.750 ⇒ 00:02:37.559 Uttam Kumaran: today basically saying, you know, I think we
35 00:02:38.080 ⇒ 00:02:43.920 Uttam Kumaran: we basically need an I think I was like, we basically need a new landing page, probably, or something else to provide them
36 00:02:44.260 ⇒ 00:02:44.960 Uttam Kumaran: in.
37 00:02:45.460 ⇒ 00:02:49.930 Uttam Kumaran: And I he was like, Okay, just like, let me see a plan
38 00:02:50.130 ⇒ 00:02:52.280 Uttam Kumaran: before I like I do anything. And I was like.
39 00:02:52.330 ⇒ 00:02:55.280 Uttam Kumaran: well, I asked you like a specific question, so
40 00:02:55.848 ⇒ 00:02:58.160 Uttam Kumaran: like, I don’t know. What do you think.
41 00:02:58.320 ⇒ 00:03:01.870 kim todaro: I know well, so I between us. I brought it up to him
42 00:03:02.290 ⇒ 00:03:04.749 kim todaro: last Monday during our weekly call.
43 00:03:05.220 ⇒ 00:03:07.150 kim todaro: and he was like.
44 00:03:07.610 ⇒ 00:03:11.740 kim todaro: he went on this like tangent about how he thinks there’s like different.
45 00:03:11.840 ⇒ 00:03:15.419 kim todaro: like profiles of these people within our segment.
46 00:03:15.600 ⇒ 00:03:19.379 kim todaro: And he basically told me to talk to Cody about these people.
47 00:03:19.550 ⇒ 00:03:29.740 kim todaro: So I think, do as a next step. Cause I I’m like you, I want like action items. I think what I’m gonna do is talk to Cody and tell him kind of about the segment that we put together
48 00:03:29.760 ⇒ 00:03:32.920 kim todaro: and cause. Cody used to work for Leslie’s.
49 00:03:33.060 ⇒ 00:03:34.029 kim todaro: which is obviously a but.
50 00:03:34.030 ⇒ 00:03:34.820 Uttam Kumaran: Competitive.
51 00:03:35.180 ⇒ 00:03:35.800 Uttam Kumaran: And yeah.
52 00:03:35.800 ⇒ 00:03:42.630 kim todaro: He was a technician for Leslie’s, so he has a much better understanding about the landscape than probably any of us do.
53 00:03:43.100 ⇒ 00:03:43.720 Uttam Kumaran: Okay.
54 00:03:43.890 ⇒ 00:03:49.939 kim todaro: So I’m sure you’ve talked to him before. So I’m gonna and if you even wanna join me on the call, you’re you’re welcome to.
55 00:03:49.940 ⇒ 00:03:54.380 Uttam Kumaran: I would join. Yeah, do you? If you’re gonna call him at some point like, let me know.
56 00:03:54.380 ⇒ 00:04:06.290 kim todaro: Yeah, why don’t we do that? Because you have a you obviously have a better understanding about the the actual segment, too. And we could kind of at least talk about that, and then come up with a plan for Ben, and we could say we both spoke to Cody.
57 00:04:06.800 ⇒ 00:04:12.929 Uttam Kumaran: Okay, let’s do that. Yeah. And I, I basically was like, Do you want there to be a post marketing thing or not?
58 00:04:12.960 ⇒ 00:04:16.589 Uttam Kumaran: And I was like I think there should be was like my recommendation.
59 00:04:16.779 ⇒ 00:04:22.060 Uttam Kumaran: I think he’s probably gonna end up there as well. But maybe we get Cody’s thought on like what that could be.
60 00:04:22.923 ⇒ 00:04:23.850 Uttam Kumaran: And then.
61 00:04:23.950 ⇒ 00:04:26.900 Uttam Kumaran: basically, I think Cody’s gonna be in charge of any
62 00:04:27.070 ⇒ 00:04:31.489 Uttam Kumaran: any like questions or anything about that. Anyways. So I think it’ll be good if we talk to him.
63 00:04:31.929 ⇒ 00:04:36.560 Uttam Kumaran: So let’s do that. I mean maybe we can see if Cody’s free next week.
64 00:04:37.500 ⇒ 00:04:39.710 kim todaro: Also Cody likes
65 00:04:40.760 ⇒ 00:04:44.969 kim todaro: Cody’s personality is like he gets offended when he’s not involved in things.
66 00:04:45.580 ⇒ 00:04:48.069 Uttam Kumaran: Okay, good. That’s fine. That’s perfect. Then.
67 00:04:48.070 ⇒ 00:04:52.360 kim todaro: Yeah, sometimes it’s better to involve him from the beginning. So he.
68 00:04:52.770 ⇒ 00:04:53.909 kim todaro: you know, feels.
69 00:04:54.140 ⇒ 00:04:55.864 kim todaro: you know, needed
70 00:04:56.460 ⇒ 00:05:01.270 kim todaro: So let’s do that. I’ll talk to Cody and get a a time on this on the calendar for next week.
71 00:05:01.630 ⇒ 00:05:04.879 kim todaro: and then the more I’m seeing orders come in.
72 00:05:04.920 ⇒ 00:05:07.490 kim todaro: the more I’m like, oh, this is definitely like a pool.
73 00:05:07.610 ⇒ 00:05:12.449 kim todaro: Pro like they’ll have like a gmail they’ll have like 7 orders under the.
74 00:05:12.450 ⇒ 00:05:12.770 Uttam Kumaran: Okay.
75 00:05:12.770 ⇒ 00:05:16.250 kim todaro: Not all them. But I’m seeing this more, and it’ll be like
76 00:05:16.520 ⇒ 00:05:21.100 kim todaro: the order like a pump or 2, and you could just you. It’s it’s to me. It’s just like
77 00:05:21.410 ⇒ 00:05:25.449 kim todaro: people who don’t necessarily have like a big truck and a big crew.
78 00:05:25.680 ⇒ 00:05:29.621 kim todaro: but sometimes buy pumps for their clients. That’s kind of like.
79 00:05:29.980 ⇒ 00:05:38.430 Uttam Kumaran: If you see a couple of those come in, just send them, because what I’ll do is I’ll just check that they fit our segment. Or if they don’t, we’ll basically figure out
80 00:05:38.650 ⇒ 00:05:43.209 Uttam Kumaran: if, like, our definition needs to change or like. Just so we can keep track of these examples.
81 00:05:43.828 ⇒ 00:05:53.770 Uttam Kumaran: Because we’re looking at like aggregates. But if you see them come in, you’re like, Oh, this person is has a history of orders, and they’re ordering to. Basically, I wanna double check that they’re being flagged
82 00:05:53.940 ⇒ 00:05:54.700 Uttam Kumaran: appropriate like.
83 00:05:54.700 ⇒ 00:06:00.950 kim todaro: I actually just saw one today or yesterday, so it’ll be easy to go back and I’ll pull their order or email for you.
84 00:06:01.710 ⇒ 00:06:02.849 Uttam Kumaran: Okay, okay, perfect.
85 00:06:04.350 ⇒ 00:06:08.439 kim todaro: Okay, so I’ll I’ll schedule a call with us and Cody to go over the the segment
86 00:06:08.998 ⇒ 00:06:14.920 kim todaro: and then I was looking at real, and I was looking at some direct mail campaigns, and
87 00:06:15.100 ⇒ 00:06:26.589 kim todaro: even though the filter one as an example, wasn’t like the best, because it didn’t look like a lot of people were buying filters. There were some heat pump ones where all all those customers bought was heat pumps. So I do feel like
88 00:06:27.130 ⇒ 00:06:29.100 kim todaro: they are working. You know what I mean.
89 00:06:29.100 ⇒ 00:06:35.020 Uttam Kumaran: Yeah, I’ve been looking at it, too, and I think they’re working as well. That’s why I’m like excited
90 00:06:35.040 ⇒ 00:06:43.360 Uttam Kumaran: to try this stuff around the service pros. But I also want to talk about potentially like going. And we were talking about scraping
91 00:06:43.724 ⇒ 00:06:46.730 Uttam Kumaran: for consumers like, maybe we could talk about that
92 00:06:47.096 ⇒ 00:06:55.389 Uttam Kumaran: it would be really cheap for me to to run a test you mentioned. We should just maybe aim at like North Florida or something. Maybe we can just decide
93 00:06:55.640 ⇒ 00:07:02.110 Uttam Kumaran: right now, like a couple of zips or an area to try. And I can go get make sure that we can. I can hand over you
94 00:07:02.270 ⇒ 00:07:03.939 Uttam Kumaran: a list that we could test
95 00:07:04.450 ⇒ 00:07:05.370 Uttam Kumaran: or.
96 00:07:06.380 ⇒ 00:07:11.976 kim todaro: Yeah, so would would it be. I might actually have this report saved in shopify?
97 00:07:12.430 ⇒ 00:07:15.810 kim todaro: like, would it make sense to do like sales like
98 00:07:16.410 ⇒ 00:07:20.800 kim todaro: over the last 4 years since we’ve been in business by location, or like
99 00:07:22.920 ⇒ 00:07:24.799 Uttam Kumaran: To figure out like where to target.
100 00:07:24.800 ⇒ 00:07:25.295 kim todaro: Yeah.
101 00:07:26.620 ⇒ 00:07:29.939 Uttam Kumaran: Yeah, I guess. Yeah, I guess I I didn’t.
102 00:07:29.960 ⇒ 00:07:31.849 Uttam Kumaran: Guess I’m not exactly sure.
103 00:07:32.160 ⇒ 00:07:34.529 Uttam Kumaran: Yeah, either way, basically.
104 00:07:35.350 ⇒ 00:07:36.120 Uttam Kumaran: either.
105 00:07:36.770 ⇒ 00:07:38.400 Uttam Kumaran: We target ones that
106 00:07:38.570 ⇒ 00:07:41.019 Uttam Kumaran: have had great sales, I guess.
107 00:07:41.680 ⇒ 00:07:50.779 Uttam Kumaran: Yeah, I guess what the thought is is that those folks that there’s other folks there that that we haven’t targeted, but they have probably higher chance of having a pool, basically or like.
108 00:07:50.900 ⇒ 00:07:54.390 Uttam Kumaran: if their neighbor bought it, basically that there’s a good chance they should.
109 00:07:54.660 ⇒ 00:07:59.669 kim todaro: Right? I I go through the same thing in my head like, is it really? Does it make sense to target people who.
110 00:07:59.690 ⇒ 00:08:02.529 kim todaro: where we have the most sales sales in, or
111 00:08:02.560 ⇒ 00:08:05.902 kim todaro: or did we kind of like saturate that market? But probably not
112 00:08:06.460 ⇒ 00:08:09.920 Uttam Kumaran: Yeah, I think maybe let’s do that. Cause like that seems fine. I think
113 00:08:10.740 ⇒ 00:08:21.340 Uttam Kumaran: I think we’ll. I think another test to run is is other areas where we’ve maybe they’ve never seen a piece of marketing. And so we’re just not there. But we should be
114 00:08:21.944 ⇒ 00:08:25.150 Uttam Kumaran: but there’s maybe zips in that same area that we’re not hitting
115 00:08:25.543 ⇒ 00:08:34.319 Uttam Kumaran: and again, like, I kind of also one of the things that could be cool to do is overlay the zip codes over like economic like looking at
116 00:08:34.370 ⇒ 00:08:38.006 Uttam Kumaran: average household income and stuff like that. I wonder?
117 00:08:38.809 ⇒ 00:08:42.340 Uttam Kumaran: Nico, we could probably ask the team to do that just to see whether
118 00:08:42.350 ⇒ 00:08:44.959 Uttam Kumaran: we could further look at Florida and basically say.
119 00:08:45.130 ⇒ 00:08:47.840 Uttam Kumaran: what are the characteristics of the Zips
120 00:08:48.400 ⇒ 00:08:53.700 Uttam Kumaran: that are doing really well, and then basically look to compare other zips that should be basically
121 00:08:55.290 ⇒ 00:08:56.889 Uttam Kumaran: you know, or something like that.
122 00:08:57.720 ⇒ 00:09:00.550 kim todaro: Yeah, that that would be interesting. But but.
123 00:09:00.550 ⇒ 00:09:04.059 Uttam Kumaran: I don’t know if it’s house size or something else, or but yeah.
124 00:09:04.580 ⇒ 00:09:08.889 kim todaro: Yeah, I that’s a good. That’s a good point. The the
125 00:09:09.120 ⇒ 00:09:10.429 kim todaro: the city that
126 00:09:10.480 ⇒ 00:09:14.150 kim todaro: is our best selling. And I tried to do like this cold.
127 00:09:14.300 ⇒ 00:09:18.070 kim todaro: direct mail test last year is Cape Coral.
128 00:09:19.260 ⇒ 00:09:21.629 Uttam Kumaran: Okay, yeah. Yeah. Yeah. I see Cape Coral everywhere.
129 00:09:21.630 ⇒ 00:09:25.730 kim todaro: Yeah, it’s and it looks like, you know, that’s in terms of
130 00:09:26.180 ⇒ 00:09:28.110 kim todaro: customers and
131 00:09:28.140 ⇒ 00:09:31.990 kim todaro: orders. And it’s actually sorted by total amount spent.
132 00:09:32.820 ⇒ 00:09:33.190 Uttam Kumaran: Okay.
133 00:09:33.560 ⇒ 00:09:36.637 kim todaro: So that might be a good place to start.
134 00:09:37.120 ⇒ 00:09:41.590 kim todaro: what’s good about them is that they buy stuff while they probably buy pool equipment all year round.
135 00:09:43.450 ⇒ 00:09:44.850 kim todaro: Okay. But
136 00:09:45.570 ⇒ 00:09:48.079 kim todaro: yeah, if if that works for you, that might be a good place.
137 00:09:48.080 ⇒ 00:09:50.960 Uttam Kumaran: Let’s try that. I mean, I just yeah, let’s try that. So
138 00:09:51.100 ⇒ 00:09:51.775 Uttam Kumaran: I’ll
139 00:09:53.730 ⇒ 00:09:55.290 Uttam Kumaran: I’m just gonna pull.
140 00:09:55.700 ⇒ 00:10:01.900 Uttam Kumaran: I’m just gonna pull a few zips from that area, and then we can start there. Like. What do you think is a good
141 00:10:02.150 ⇒ 00:10:03.990 Uttam Kumaran: volume to start with.
142 00:10:05.390 ⇒ 00:10:07.790 kim todaro: Is this for email or direct mail.
143 00:10:07.930 ⇒ 00:10:08.980 Uttam Kumaran: For direct mail.
144 00:10:09.470 ⇒ 00:10:10.470 kim todaro: I mean.
145 00:10:10.630 ⇒ 00:10:12.269 kim todaro: I usually do.
146 00:10:12.430 ⇒ 00:10:14.409 kim todaro: I would say, hmm!
147 00:10:17.300 ⇒ 00:10:21.849 kim todaro: Are you so? Are these pool pros, or are we still targeting consumers? Remind me.
148 00:10:21.850 ⇒ 00:10:26.040 Uttam Kumaran: This was for consumers. So this is like folks with a pool.
149 00:10:26.640 ⇒ 00:10:27.286 kim todaro: Okay.
150 00:10:30.630 ⇒ 00:10:31.970 kim todaro: trying to think.
151 00:10:33.340 ⇒ 00:10:34.740 kim todaro: I would say.
152 00:10:34.850 ⇒ 00:10:36.450 kim todaro: budget-wise.
153 00:10:37.310 ⇒ 00:10:40.560 kim todaro: 5 5,000 people would probably be good.
154 00:10:41.200 ⇒ 00:10:41.900 Uttam Kumaran: Okay.
155 00:10:45.030 ⇒ 00:10:49.270 Uttam Kumaran: okay, that’s good. That’s just a barometer. And then I’ll see what kind of it ends up at.
156 00:10:49.805 ⇒ 00:10:52.290 Uttam Kumaran: Yeah. So basically, the categories are like
157 00:10:52.880 ⇒ 00:10:55.030 Uttam Kumaran: the categories we’re looking at are
158 00:10:55.080 ⇒ 00:10:58.220 Uttam Kumaran: new pool pros existing pool pros, and then
159 00:10:58.250 ⇒ 00:11:04.509 Uttam Kumaran: new consumers, you know, through all this. So for the new pool pros.
160 00:11:05.076 ⇒ 00:11:09.220 Uttam Kumaran: I guess, like don’t have an idea yet. But I think
161 00:11:09.340 ⇒ 00:11:21.170 Uttam Kumaran: right now we’re just mainly focusing on the existing professionals. I think once we kind of maybe nail that process of like what happens after the marketing. It’s probably we could probably figure out how to get
162 00:11:21.630 ⇒ 00:11:23.729 Uttam Kumaran: how to get over to the actual
163 00:11:25.200 ⇒ 00:11:29.650 Uttam Kumaran: full pros. And for them like, I can also scrape their emails and stuff pretty easily.
164 00:11:30.047 ⇒ 00:11:39.209 Uttam Kumaran: you know, for existing for for PE folks that haven’t bought from us. But yeah, I think let’s talk to Cody and bring both those up. And then kind of think of a plan, and then
165 00:11:39.300 ⇒ 00:11:43.302 Uttam Kumaran: just get approval from Ben on budget or whatever we need.
166 00:11:44.340 ⇒ 00:11:45.090 Uttam Kumaran: okay.
167 00:11:45.410 ⇒ 00:11:51.550 kim todaro: I think that’s a good idea. Cause then we could be like we talked to Cody, and this is our plan, and then we can move forward
168 00:11:51.590 ⇒ 00:11:52.770 kim todaro: with something. Okay?
169 00:11:53.270 ⇒ 00:11:53.870 Uttam Kumaran: Okay.
170 00:11:55.488 ⇒ 00:12:01.579 Uttam Kumaran: I guess any other questions about like real or I know we.
171 00:12:01.600 ⇒ 00:12:07.461 Uttam Kumaran: We have your like weekly report in there. But again, it’s basically just
172 00:12:08.620 ⇒ 00:12:11.459 Uttam Kumaran: and like, I just want to double check. That stuff is
173 00:12:11.550 ⇒ 00:12:13.169 Uttam Kumaran: like working in there.
174 00:12:14.590 ⇒ 00:12:17.030 kim todaro: Yeah, if you want, I can go through, too. Because
175 00:12:17.130 ⇒ 00:12:21.119 kim todaro: I mean, I just like hate. Those are reports that I’ve been doing manually
176 00:12:22.810 ⇒ 00:12:27.710 kim todaro: so I can go through to and test out like from like last week and see if the numbers match.
177 00:12:29.070 ⇒ 00:12:29.750 Uttam Kumaran: Okay.
178 00:12:29.960 ⇒ 00:12:30.750 kim todaro: If you want.
179 00:12:30.750 ⇒ 00:12:34.129 Uttam Kumaran: Yeah, let’s do that. Yeah, that’d be great. I mean, again, we, we’re just expecting
180 00:12:34.250 ⇒ 00:12:41.167 Uttam Kumaran: 1 1 data point per week. Basically, it should show up in that in that report.
181 00:12:42.210 ⇒ 00:12:45.750 Uttam Kumaran: and it looks like it’s there. Basically, we have one.
182 00:12:46.187 ⇒ 00:12:48.340 Uttam Kumaran: Basically a way of one. If you
183 00:12:48.360 ⇒ 00:12:52.240 Uttam Kumaran: search for like the last 3 months. There’s usually just one
184 00:12:52.610 ⇒ 00:12:54.730 Uttam Kumaran: line of metrics per week, which is
185 00:12:54.840 ⇒ 00:12:56.559 Uttam Kumaran: like, what is the
186 00:12:56.620 ⇒ 00:13:00.960 Uttam Kumaran: I mean? I can even see there’s some stuff we need to change. But basically, it’s like, what’s the revenue for that week?
187 00:13:01.472 ⇒ 00:13:04.690 Uttam Kumaran: How many purchases? What’s the like? Open rate?
188 00:13:05.119 ⇒ 00:13:12.559 Uttam Kumaran: What’s the recipients? Basically all the couple of things. We also moved in the paid marketing performance table that we’ve had there, which
189 00:13:12.630 ⇒ 00:13:16.120 Uttam Kumaran: basically combines all the campaigns into into like one table.
190 00:13:16.900 ⇒ 00:13:21.310 Uttam Kumaran: So yeah, maybe you just want to click around some of the marketing ones and we can catch up again
191 00:13:21.490 ⇒ 00:13:23.059 Uttam Kumaran: next week. That’d be helpful.
192 00:13:23.430 ⇒ 00:13:27.875 kim todaro: Okay, yeah, I will, for sure. Cause like I said,
193 00:13:28.290 ⇒ 00:13:32.110 kim todaro: my report takes me a long time to do, because of all the different channels.
194 00:13:32.680 ⇒ 00:13:36.319 kim todaro: So that would be cool to to just send them that. But we’ll see.
195 00:13:36.910 ⇒ 00:13:37.960 Uttam Kumaran: Okay. Okay.
196 00:13:39.650 ⇒ 00:13:45.849 Uttam Kumaran: yeah. And then Dan and Ben are both in real now. I think they’re they were talking to some investors like today.
197 00:13:46.290 ⇒ 00:13:50.499 Uttam Kumaran: And so they’re both like in there poking around. So
198 00:13:51.314 ⇒ 00:13:52.890 Uttam Kumaran: yeah, that’d be ideal.
199 00:13:53.240 ⇒ 00:13:57.866 kim todaro: Yeah, I love it. It’s so much fat it’s it’s a lot easier to use than the the last.
200 00:13:58.110 ⇒ 00:13:58.680 Uttam Kumaran: App.
201 00:13:59.715 ⇒ 00:13:59.980 kim todaro: Yeah.
202 00:13:59.980 ⇒ 00:14:08.469 Uttam Kumaran: Yeah, I like it, too. It’s pretty pretty straightforward. I think that you could definitely do some more advanced stuff like comparisons. But I think it’s just like really quick.
203 00:14:08.640 ⇒ 00:14:12.389 Uttam Kumaran: and I use it to answer like all the questions, too, these days. So.
204 00:14:12.610 ⇒ 00:14:14.940 kim todaro: Yeah, no, it’s it’s awesome.
205 00:14:16.190 ⇒ 00:14:28.210 Uttam Kumaran: Okay, cool. So I guess we’ll look forward to that meeting with Cody next week, and then I’ll go ahead and like, look into scraping some of the stuff from Cape Coral, and then we’ll probably catch up. Can probably catch up on everything. During that meeting with Cody.
206 00:14:28.680 ⇒ 00:14:32.620 kim todaro: Cool. That sounds good. I’ll slack him now and see when he’s available next week.
207 00:14:33.570 ⇒ 00:14:34.140 Uttam Kumaran: Okay.
208 00:14:35.260 ⇒ 00:14:37.510 Uttam Kumaran: Okay. Cool. Alright. Nico. Anything else?
209 00:14:38.260 ⇒ 00:14:53.960 Nicolas Sucari: No anything, Kim, that you want that you or that you’re not seeing on real. And you want to have there, let us know, and we can work on it so that we can create a new dashboard, or anything, or add more dimensions or measures, so that you can have all the information there. Okay.
210 00:14:54.120 ⇒ 00:14:57.654 kim todaro: Okay, that sounds good. I’ll I’ll take a look at it. After this call.
211 00:14:58.270 ⇒ 00:15:06.990 Nicolas Sucari: Also, if you want to, then EI don’t know if you know. But you have like the explore tab, and you have, like the Po table tab that you can create like your own
212 00:15:07.050 ⇒ 00:15:12.950 Nicolas Sucari: data for export and then to use. But if you don’t know how to use that, let me know again. I can go through it with you.
213 00:15:13.360 ⇒ 00:15:15.130 kim todaro: Oh, perfect, awesome.
214 00:15:16.090 ⇒ 00:15:17.110 kim todaro: Great. Okay.
215 00:15:18.390 ⇒ 00:15:20.150 Uttam Kumaran: Alright! Thanks everyone.
216 00:15:20.150 ⇒ 00:15:21.180 Nicolas Sucari: Thanks. Kim.
217 00:15:21.420 ⇒ 00:15:21.820 kim todaro: Thanks.
218 00:15:21.820 ⇒ 00:15:22.600 Nicolas Sucari: Bye, bye.
219 00:15:22.600 ⇒ 00:15:23.260 kim todaro: I.