Meeting Title: PP2G URGENT Data Plan Date: 2024-09-30 Meeting participants: Nicolas Sucari, Uttam Kumaran, Kim Todaro, Ryan Luke Daque
WEBVTT
1 00:00:52.980 ⇒ 00:00:53.670 Ryan Luke Daque: Hello!
2 00:00:55.980 ⇒ 00:00:56.860 Nicolas Sucari: Hey, Ryan.
3 00:00:57.580 ⇒ 00:00:58.950 Ryan Luke Daque: Hey, Nicholas?
4 00:01:01.290 ⇒ 00:01:04.323 Ryan Luke Daque: Okay, looks like we have a new urgent request.
5 00:01:05.129 ⇒ 00:01:06.420 Nicolas Sucari: It was just when.
6 00:01:06.420 ⇒ 00:01:07.300 Ryan Luke Daque: This is right.
7 00:01:07.843 ⇒ 00:01:08.930 Nicolas Sucari: Just yeah.
8 00:01:09.730 ⇒ 00:01:11.209 Nicolas Sucari: that exact moment.
9 00:01:13.260 ⇒ 00:01:14.679 Nicolas Sucari: yeah, I think.
10 00:01:14.980 ⇒ 00:01:17.309 Nicolas Sucari: Let let’s see which I’m
11 00:01:17.430 ⇒ 00:01:18.829 Nicolas Sucari: joins bad.
12 00:01:19.980 ⇒ 00:01:23.160 Nicolas Sucari: It seems like they need bunch of graphs and
13 00:01:23.220 ⇒ 00:01:25.159 Nicolas Sucari: data to show
14 00:01:26.248 ⇒ 00:01:32.710 Nicolas Sucari: if we access like the different tools, I just went into shopify and send those graphics. Let’s see.
15 00:01:33.030 ⇒ 00:01:42.729 Nicolas Sucari: I think that’s kind of super useful. And we can. Yeah, I can cut. I can just like screenshot some of them and separate them. So we get it like a bunch of them.
16 00:01:43.000 ⇒ 00:01:47.400 Nicolas Sucari: But yeah, I don’t know like exactly what they want for the other
17 00:01:47.540 ⇒ 00:01:49.420 Nicolas Sucari: analysis kind of stuff.
18 00:01:50.330 ⇒ 00:01:51.140 Ryan Luke Daque: Yeah.
19 00:01:52.410 ⇒ 00:01:53.750 Nicolas Sucari: Because for
20 00:01:58.160 ⇒ 00:02:00.860 Nicolas Sucari: for customer analysis we can use those ones.
21 00:02:01.465 ⇒ 00:02:10.179 Nicolas Sucari: But then for competitive or marketing we can use. I know, if there are some of these ones from Facebook
22 00:02:10.400 ⇒ 00:02:11.630 Nicolas Sucari: or
23 00:02:12.030 ⇒ 00:02:13.560 Nicolas Sucari: Google ads.
24 00:02:13.970 ⇒ 00:02:14.510 Ryan Luke Daque: Amazon.
25 00:02:14.510 ⇒ 00:02:15.600 Nicolas Sucari: Those ones.
26 00:02:15.890 ⇒ 00:02:16.910 Nicolas Sucari: Yeah.
27 00:02:35.340 ⇒ 00:02:38.420 Nicolas Sucari: the one that I don’t know is competitive analysis.
28 00:02:41.670 ⇒ 00:02:43.309 Nicolas Sucari: Maybe we can use.
29 00:02:45.910 ⇒ 00:02:47.669 Ryan Luke Daque: I wonder if this means like
30 00:02:48.560 ⇒ 00:02:50.880 Ryan Luke Daque: competitor analysis, like.
31 00:02:51.540 ⇒ 00:02:52.220 Nicolas Sucari: Yeah?
32 00:02:52.980 ⇒ 00:02:57.010 Nicolas Sucari: Or we should take some data from like e-commerce
33 00:02:57.240 ⇒ 00:02:58.340 Nicolas Sucari: world
34 00:02:58.760 ⇒ 00:03:02.980 Nicolas Sucari: like Domini, how to understand how the market moves or kind of that stuff.
35 00:03:03.310 ⇒ 00:03:10.939 Ryan Luke Daque: Cause. It does say, conduct research on common common online marketplaces and direct competitor sites. So I guess
36 00:03:12.150 ⇒ 00:03:17.829 Ryan Luke Daque: we need to find like, we need help on scraping data from
37 00:03:18.010 ⇒ 00:03:21.720 Ryan Luke Daque: the competitors, or like even just Google shopping and Amazon
38 00:03:22.260 ⇒ 00:03:25.970 Ryan Luke Daque: for the same, I guess. Items, I guess
39 00:03:26.640 ⇒ 00:03:28.740 Ryan Luke Daque: that boulevards has.
40 00:03:30.080 ⇒ 00:03:30.810 Nicolas Sucari: Yeah.
41 00:03:32.050 ⇒ 00:03:35.350 Ryan Luke Daque: That way we can. It’s it’s basically similar to
42 00:03:36.888 ⇒ 00:03:44.069 Ryan Luke Daque: what? What’s the what’s it called? Like the study on like pricing stuff, pricing analysis.
43 00:03:45.160 ⇒ 00:03:46.510 Nicolas Sucari: Yeah, intelligence.
44 00:03:48.050 ⇒ 00:03:48.500 Ryan Luke Daque: Maybe.
45 00:03:48.500 ⇒ 00:03:49.790 Nicolas Sucari: Oh, yeah, it’s kind of
46 00:03:49.800 ⇒ 00:03:53.060 Nicolas Sucari: we use intelligence for that. But yeah, it’s kind of the same.
47 00:03:54.220 ⇒ 00:03:54.890 Ryan Luke Daque: Yeah.
48 00:04:00.150 ⇒ 00:04:01.980 Nicolas Sucari: I’m trying to look into those.
49 00:04:01.980 ⇒ 00:04:02.780 Ryan Luke Daque: Hmm.
50 00:04:04.070 ⇒ 00:04:05.404 Ryan Luke Daque: yeah, this is
51 00:04:07.220 ⇒ 00:04:08.570 Ryan Luke Daque: interesting
52 00:04:15.430 ⇒ 00:04:17.470 Ryan Luke Daque: is for sure. We don’t have.
53 00:04:18.100 ⇒ 00:04:23.260 Ryan Luke Daque: We currently don’t have the data to show that. So we’ll have to do some research to get
54 00:04:23.660 ⇒ 00:04:24.850 Ryan Luke Daque: the data.
55 00:04:25.570 ⇒ 00:04:26.190 Nicolas Sucari: Sure.
56 00:04:55.300 ⇒ 00:04:57.210 Nicolas Sucari: I know, like, what is the?
57 00:04:58.320 ⇒ 00:04:59.920 Nicolas Sucari: Because the category
58 00:05:00.130 ⇒ 00:05:02.400 Nicolas Sucari: of yeah cool parts or
59 00:05:02.440 ⇒ 00:05:06.790 Nicolas Sucari: that kind of stuff? I don’t know. I find something kind of cool, like.
60 00:05:11.470 ⇒ 00:05:13.660 Nicolas Sucari: you know, finding the chat here
61 00:05:16.310 ⇒ 00:05:18.300 Nicolas Sucari: like for e-commerce world.
62 00:05:45.900 ⇒ 00:05:48.720 Nicolas Sucari: Yeah, I can’t access. IP data.
63 00:05:52.140 ⇒ 00:05:52.790 Ryan Luke Daque: Yeah.
64 00:05:59.660 ⇒ 00:06:01.330 Nicolas Sucari: Hmm! Good to pay.
65 00:06:48.740 ⇒ 00:06:49.970 Ryan Luke Daque: Let me try
66 00:06:50.760 ⇒ 00:06:53.750 Ryan Luke Daque: doing some experimenting on like
67 00:06:54.440 ⇒ 00:06:55.640 Ryan Luke Daque: AI.
68 00:06:57.300 ⇒ 00:06:57.990 Nicolas Sucari: You may.
69 00:06:58.270 ⇒ 00:07:00.900 Ryan Luke Daque: To see if it can help us. Do this.
70 00:07:20.680 ⇒ 00:07:23.329 Nicolas Sucari: I’m gonna loop in Kim
71 00:07:24.200 ⇒ 00:07:25.000 Nicolas Sucari: Tool.
72 00:07:25.960 ⇒ 00:07:28.340 Nicolas Sucari: She wants to join the meeting. So that
73 00:07:28.450 ⇒ 00:07:32.130 Nicolas Sucari: think she’s trying to do some kind of stuff with this information.
74 00:08:44.580 ⇒ 00:08:45.413 Nicolas Sucari: Hey? Keen.
75 00:08:46.150 ⇒ 00:08:46.800 kim todaro: Guys.
76 00:08:47.780 ⇒ 00:08:48.669 Nicolas Sucari: How are you?
77 00:08:49.650 ⇒ 00:08:50.350 kim todaro: Good.
78 00:08:52.280 ⇒ 00:08:52.919 Nicolas Sucari: You know.
79 00:08:53.380 ⇒ 00:08:54.010 kim todaro: How are you?
80 00:08:54.010 ⇒ 00:08:54.800 Nicolas Sucari: Amen
81 00:08:55.010 ⇒ 00:09:02.909 Nicolas Sucari: doing good? Are you in a rush? What happened like, what? I’m trying to understand what are like the what do you need these 4. But
82 00:09:03.010 ⇒ 00:09:05.820 Nicolas Sucari: that’s fine. We’re trying here with Ryan.
83 00:09:06.410 ⇒ 00:09:07.269 kim todaro: To figure out.
84 00:09:07.270 ⇒ 00:09:09.709 Nicolas Sucari: Information and data that we can share.
85 00:09:10.000 ⇒ 00:09:12.909 kim todaro: Is Uta is utam coming on the call or no.
86 00:09:14.500 ⇒ 00:09:16.420 Nicolas Sucari: I’m let me ping him.
87 00:09:16.720 ⇒ 00:09:21.327 kim todaro: I don’t. I don’t know either way. So you guys probably know just as much as I do.
88 00:09:22.330 ⇒ 00:09:27.158 kim todaro: I was asked over the weekend to just fill in. I’ll just share my screen.
89 00:09:27.480 ⇒ 00:09:29.079 Nicolas Sucari: Oh, here, you sit down. Yeah.
90 00:09:29.080 ⇒ 00:09:31.109 kim todaro: Okay, I’ll wait till he comes on.
91 00:09:31.440 ⇒ 00:09:33.776 kim todaro: because he might know more than me.
92 00:09:34.550 ⇒ 00:09:35.210 Nicolas Sucari: Ha! Ha!
93 00:09:36.070 ⇒ 00:09:37.200 Nicolas Sucari: I get them.
94 00:09:37.200 ⇒ 00:09:38.232 Uttam Kumaran: Sorry for the delay.
95 00:09:39.410 ⇒ 00:09:40.200 kim todaro: Hey!
96 00:09:40.790 ⇒ 00:09:41.560 Uttam Kumaran: A
97 00:09:43.675 ⇒ 00:09:51.889 Uttam Kumaran: yeah, I just wanted to set up a chat just to talk about like kind of game plan. But yeah, sorry. I know you guys were chatting, so go ahead.
98 00:09:52.480 ⇒ 00:09:58.080 kim todaro: No, I I just started saying how over the weekend. I was just asked to fill in.
99 00:09:58.948 ⇒ 00:10:01.999 kim todaro: This one area of the document
100 00:10:02.578 ⇒ 00:10:06.740 kim todaro: and I knew it was too good to be true, because Ben and I talked this morning he was like, Oh.
101 00:10:07.410 ⇒ 00:10:08.550 kim todaro: this looks good.
102 00:10:10.680 ⇒ 00:10:16.809 Uttam Kumaran: That’s why I was kind of waiting, because I did some stuff on Friday. And then I was like, Well, okay, well, I can add pictures on.
103 00:10:17.220 ⇒ 00:10:20.300 Uttam Kumaran: you know. That’s fine. And then I was waiting for
104 00:10:20.400 ⇒ 00:10:22.839 Uttam Kumaran: yeah, probably like Dan’s feedback. So.
105 00:10:22.840 ⇒ 00:10:30.840 kim todaro: Yeah. So so what I did is, I added, in most of this section, the revenue part Ben had already filled in this part.
106 00:10:31.707 ⇒ 00:10:40.070 kim todaro: I added in the I thought it was appropriate to just add it in the little summary about intelligent gems under pricing analysis.
107 00:10:40.070 ⇒ 00:10:40.800 Uttam Kumaran: Yeah.
108 00:10:41.448 ⇒ 00:10:43.279 kim todaro: Just show a screenshot.
109 00:10:43.360 ⇒ 00:10:51.442 kim todaro: and then I’m just trying to take like direct, like our own information and adding it in where it makes sense.
110 00:10:52.210 ⇒ 00:10:57.339 kim todaro: I’m a little confused. Why, Dan wants to edge. Use this as like an opportunity to educate them on
111 00:10:57.360 ⇒ 00:11:00.009 kim todaro: direct to consumer marketing and
112 00:11:01.180 ⇒ 00:11:02.499 kim todaro: stuff like.
113 00:11:03.610 ⇒ 00:11:08.409 Uttam Kumaran: I think. Yeah, it seems like his. The goal is just to like pad this with as much
114 00:11:08.450 ⇒ 00:11:14.649 Uttam Kumaran: stuff as possible. The nice thing is all the examples under, like each of the analysis, bullets are like things we’ve done.
115 00:11:14.780 ⇒ 00:11:18.262 Uttam Kumaran: It’s just like finding the right image.
116 00:11:18.760 ⇒ 00:11:19.085 Nicolas Sucari: Yeah.
117 00:11:20.410 ⇒ 00:11:22.420 Uttam Kumaran: You know, for each of them.
118 00:11:22.420 ⇒ 00:11:22.950 kim todaro: Yep.
119 00:11:23.363 ⇒ 00:11:29.979 Uttam Kumaran: So I mean, I’m I’m kind of thinking, like, we basically try to get as much
120 00:11:32.210 ⇒ 00:11:37.240 Uttam Kumaran: like as just basically as many screenshots, Nico, from each of the different sources as possible.
121 00:11:37.250 ⇒ 00:11:45.209 Uttam Kumaran: and then we’ll start to layer those in, you know, as associated with each of the like, either pricing, marketing, competitive or customers.
122 00:11:47.240 ⇒ 00:11:55.100 Uttam Kumaran: like that was my initial idea. And then, basically, as we as we put in screenshots, can add a little bit of a blurb I can add on for each of them.
123 00:11:55.716 ⇒ 00:12:01.880 Uttam Kumaran: It’s initially it started like we wanted to take a specific example. But I think this is just gonna be more of like.
124 00:12:02.130 ⇒ 00:12:04.438 Uttam Kumaran: Here’s like, everywhere we look.
125 00:12:06.560 ⇒ 00:12:11.360 kim todaro: Like, this is how we make our decisions. This is our method. Yeah.
126 00:12:13.680 ⇒ 00:12:27.590 Nicolas Sucari: Okay, I think for for customer analysis. Yeah, I I added, the that shopify shopify graphs that we can take out for directly from shopify. I mean, I can scroll a little bit more, try to find more.
127 00:12:28.168 ⇒ 00:12:32.289 Nicolas Sucari: Yeah, more information there, directly from shopify. We should
128 00:12:32.380 ⇒ 00:12:36.569 Nicolas Sucari: be able to take some of these also from Amazon, I think.
129 00:12:37.028 ⇒ 00:12:41.260 Nicolas Sucari: I don’t have access to Amazon. I don’t know what time, if you have access, or because.
130 00:12:42.100 ⇒ 00:12:43.780 Uttam Kumaran: Has access.
131 00:12:44.390 ⇒ 00:12:45.230 Nicolas Sucari: Oh, okay.
132 00:12:45.590 ⇒ 00:12:48.230 Nicolas Sucari: maybe maybe, Ryan, you can help me there to get some.
133 00:12:48.230 ⇒ 00:12:51.609 Uttam Kumaran: You might need Otp for me, but just let me know I can.
134 00:12:52.430 ⇒ 00:12:53.030 Nicolas Sucari: Okay.
135 00:12:53.600 ⇒ 00:12:58.350 Nicolas Sucari: yeah. But I I mean, I don’t know if there is something specifically or a time range
136 00:12:58.670 ⇒ 00:13:02.439 Nicolas Sucari: or date range that we wanna use? What what?
137 00:13:02.440 ⇒ 00:13:04.759 kim todaro: 3, 3. But let me check with Ben.
138 00:13:05.220 ⇒ 00:13:05.970 Nicolas Sucari: Okay.
139 00:13:06.320 ⇒ 00:13:24.979 Nicolas Sucari: okay, so I can filter down there in, shopify and get the correct graphs. And then for marketing, I think we can. I mean, we, we have different options. We can use real obviously. But I think, Kim, if you wanna get more graphs from directly from Google ads, Facebook ads, or.
140 00:13:24.980 ⇒ 00:13:25.420 Uttam Kumaran: Interesting.
141 00:13:25.420 ⇒ 00:13:33.769 Nicolas Sucari: Different tool. I think they they will be. You should find there some like specific graphs to share.
142 00:13:34.660 ⇒ 00:13:36.480 Uttam Kumaran: Yeah, I agree.
143 00:13:37.780 ⇒ 00:13:42.225 kim todaro: yeah, let me see what I can pull from those channels.
144 00:13:44.920 ⇒ 00:13:46.079 kim todaro: He doesn’t even like mention.
145 00:13:46.080 ⇒ 00:13:46.790 Nicolas Sucari: Already.
146 00:13:47.260 ⇒ 00:13:50.980 Nicolas Sucari: Yeah, for the competitive analysis is where I’m
147 00:13:51.480 ⇒ 00:13:54.759 Nicolas Sucari: kind of trying to understand a little more.
148 00:13:54.760 ⇒ 00:13:56.710 Uttam Kumaran: Yeah, what do you want? Yeah.
149 00:13:57.180 ⇒ 00:14:01.600 Uttam Kumaran: Competitive analysis. I think we should maybe like, take something from Zendesk.
150 00:14:06.080 ⇒ 00:14:15.700 Nicolas Sucari: Yeah, I I was thinking about. Send this, too, but I don’t know if we want to get kind of more like e-commer e-commerce market
151 00:14:16.040 ⇒ 00:14:16.690 Nicolas Sucari: in the Us.
152 00:14:17.190 ⇒ 00:14:24.039 Nicolas Sucari: That like date, like public data, and we can leverage in that so that we can do some kind of I don’t know. Show how the market goes.
153 00:14:24.677 ⇒ 00:14:33.089 Uttam Kumaran: Anything that’s like state of the Ecom market. Type, like presentations. We could take something like that.
154 00:14:34.250 ⇒ 00:14:34.950 Nicolas Sucari: Okay.
155 00:14:35.760 ⇒ 00:14:38.009 Nicolas Sucari: okay, yeah, I’m gonna try to find
156 00:14:38.060 ⇒ 00:14:40.290 Nicolas Sucari: good information of that ones.
157 00:14:41.840 ⇒ 00:14:45.449 Nicolas Sucari: but yeah. And then for pricing, I think intelligence is.
158 00:14:45.750 ⇒ 00:14:46.250 Uttam Kumaran: Yeah.
159 00:14:46.250 ⇒ 00:14:47.730 Nicolas Sucari: Is that correct? Yeah.
160 00:14:49.260 ⇒ 00:14:56.259 kim todaro: So for the competitive analysis, I don’t know. This might be too high level, but like something that we do do a lot is actually just like
161 00:14:56.340 ⇒ 00:14:58.570 kim todaro: test, like Google shopping
162 00:14:59.050 ⇒ 00:15:00.210 kim todaro: keywords
163 00:15:00.290 ⇒ 00:15:04.410 kim todaro: and see what competitors are offering. I don’t know if that’s worth adding a screen.
164 00:15:04.410 ⇒ 00:15:06.610 Uttam Kumaran: Oh, that’s exactly yeah. I remember.
165 00:15:07.150 ⇒ 00:15:17.159 Uttam Kumaran: we looked through that once. So that’s why, exactly what I want to add, like a screenshot of that Google shopping page. Basically, it’s like, show the the other products that are there.
166 00:15:17.630 ⇒ 00:15:25.720 kim todaro: That’s really what we do. I can even get a I mean, I know he mentions like check Facebook groups for feedback. I do that every day I can get a screenshot of that.
167 00:15:27.140 ⇒ 00:15:31.670 kim todaro: I don’t like this stuff like easy to me. I don’t know if it’s too, if it I don’t know if it’s like too high level. But
168 00:15:31.910 ⇒ 00:15:32.729 kim todaro: do you think that’s what.
169 00:15:32.730 ⇒ 00:15:33.469 Nicolas Sucari: No, no, let’s do.
170 00:15:33.470 ⇒ 00:15:42.099 Uttam Kumaran: Yeah, no, I think that’s it. I think I think it’s like I’d rather have way too much. And then we basically organize it. And then they can cut cut out the stuff.
171 00:15:42.210 ⇒ 00:15:43.170 Uttam Kumaran: Okay?
172 00:15:43.360 ⇒ 00:15:51.750 Uttam Kumaran: So like any area where we get feedback, we have a screenshot of like, even if if the screenshots like focus, like as much on
173 00:15:51.880 ⇒ 00:15:59.469 Uttam Kumaran: like an individual message or something like that. We’ll fill out the we’ll fill out the rest of it with like a caption basically.
174 00:16:00.070 ⇒ 00:16:00.800 kim todaro: Okay.
175 00:16:01.620 ⇒ 00:16:02.760 kim todaro: I will.
176 00:16:02.850 ⇒ 00:16:09.158 kim todaro: Yeah, I’ll get all the images that I can. Facebook groups all the marketing dashboards. That’s easy.
177 00:16:10.440 ⇒ 00:16:15.790 Nicolas Sucari: Also for pricing. Or, yeah, I don’t know any of the other sections.
178 00:16:15.890 ⇒ 00:16:19.360 Nicolas Sucari: Do you wanna use like some of the pull parts? Go
179 00:16:19.781 ⇒ 00:16:27.180 Nicolas Sucari: screenshots from the website, or something like that, like, do we want to show how we actually do things, or how we are?
180 00:16:27.190 ⇒ 00:16:31.519 Nicolas Sucari: Yeah, or or some screenshots directly from our website. What do you think?
181 00:16:33.010 ⇒ 00:16:37.820 Nicolas Sucari: Or that’s not the idea. It’s more kind of showing the data, because maybe I mean, if we wanna
182 00:16:38.330 ⇒ 00:16:39.150 Nicolas Sucari: okay.
183 00:16:39.680 ⇒ 00:16:42.160 kim todaro: And I don’t know if this is relevant either. But
184 00:16:42.360 ⇒ 00:16:45.200 kim todaro: it is true. Hurricane Helene just hit.
185 00:16:45.200 ⇒ 00:16:45.550 Uttam Kumaran: Yeah.
186 00:16:45.620 ⇒ 00:16:46.510 kim todaro: Yeah.
187 00:16:47.117 ⇒ 00:16:59.409 kim todaro: and we will re react to that and send our our customers like in those States. You know, if you need. We’re here for you, if you need more pool equipment, you know. Here’s a discount type thing.
188 00:16:59.699 ⇒ 00:17:01.940 kim todaro: I don’t know if that’s relevant at all. But.
189 00:17:01.940 ⇒ 00:17:05.910 Uttam Kumaran: No, I think exactly like stuff like that is where I’m thinking in terms of.
190 00:17:06.359 ⇒ 00:17:18.950 Uttam Kumaran: I don’t know if this is like customer analysis or whatever. But we’ve even. We’ve even seen things about like, Hey, there’s gonna be service disruption. We had the issue with like canal like last year, whenever. So all of those like.
191 00:17:19.079 ⇒ 00:17:21.480 Uttam Kumaran: basically, that’s like market feedback.
192 00:17:21.540 ⇒ 00:17:23.900 Uttam Kumaran: So we can just take screenshots of like
193 00:17:24.079 ⇒ 00:17:27.769 Uttam Kumaran: like the news, basically, I just put put like a list of those.
194 00:17:32.165 ⇒ 00:17:39.480 Nicolas Sucari: Then for more like kind of analysis stuff, we we have the center of gravity stuff that we work for.
195 00:17:39.980 ⇒ 00:17:45.020 Nicolas Sucari: So I I don’t know where we can add that. But if or if it’s even
196 00:17:45.826 ⇒ 00:17:50.409 Nicolas Sucari: something that we wanna add, but maybe for marketing analysis or something. Yeah, I don’t know.
197 00:17:51.210 ⇒ 00:18:00.110 Uttam Kumaran: No, I would add it here, and I would add same thing that some of the evidence stuff from from like warranties just throw all the screenshots here, and I’ll kind of like format. It.
198 00:18:00.690 ⇒ 00:18:02.030 Nicolas Sucari: Okay. Okay.
199 00:18:02.150 ⇒ 00:18:11.690 Uttam Kumaran: And then when you throw the screenshot in, yeah, if it’s not really clear where it’s what it is, just put a little note once everything is in here, I’ll I’ll start to write. I can just write the story, basically.
200 00:18:12.390 ⇒ 00:18:12.725 Nicolas Sucari: Okay?
201 00:18:13.717 ⇒ 00:18:22.030 Nicolas Sucari: One more thing. Regarding like shipping, or how we? How’s our process regarding? Yeah, how we ship stuff?
202 00:18:22.658 ⇒ 00:18:26.360 Nicolas Sucari: Do we wanna add something on that one or not, or anything.
203 00:18:26.360 ⇒ 00:18:29.879 Uttam Kumaran: Yeah, I mean, I don’t know what other screenshots apart from
204 00:18:31.190 ⇒ 00:18:33.970 Uttam Kumaran: stuff we’ve done like what else we can add.
205 00:18:37.630 ⇒ 00:18:39.569 Nicolas Sucari: I mean, we have like the tags
206 00:18:40.140 ⇒ 00:18:43.260 Nicolas Sucari: and that kind of stuff, but I don’t know if that’s worth adding.
207 00:18:43.260 ⇒ 00:18:50.380 Uttam Kumaran: Yeah, it’s probably not anything you can look at about from Ups or Fedex about their shipping. If they have any good illustrations
208 00:18:50.510 ⇒ 00:18:51.210 Uttam Kumaran: that’d be.
209 00:18:51.210 ⇒ 00:18:51.860 Nicolas Sucari: Okay.
210 00:18:53.300 ⇒ 00:18:56.259 Nicolas Sucari: let’s try to access the tools and see how we can
211 00:18:56.270 ⇒ 00:18:57.339 Nicolas Sucari: get something from them.
212 00:18:57.340 ⇒ 00:19:02.869 Uttam Kumaran: Or even just marketing material about like how they do shipping and stuff like that. That way, we can just put it in there. But
213 00:19:03.460 ⇒ 00:19:04.220 Uttam Kumaran: okay.
214 00:19:04.560 ⇒ 00:19:08.720 Uttam Kumaran: yeah, I’m hoping we could try to like get a version to them by like
215 00:19:09.320 ⇒ 00:19:12.719 Uttam Kumaran: one or 2 Eastern, so that we can
216 00:19:12.840 ⇒ 00:19:15.256 Uttam Kumaran: send it over for feedback
217 00:19:16.780 ⇒ 00:19:23.120 Uttam Kumaran: If we can get all the if we get all the images in here, then I’ll basically what I’m gonna what I’m gonna do is just start to
218 00:19:24.390 ⇒ 00:19:32.290 Uttam Kumaran: do the overview, break out a section into each of those 4 areas. And then just like filter in like, here’s examples of like what we check
219 00:19:32.650 ⇒ 00:19:39.599 Uttam Kumaran: and then kind of like, I think already we with the images that we’re planning that should be more than enough.
220 00:19:40.530 ⇒ 00:19:49.249 kim todaro: Yeah, that’s the only thing I’m really concerned about is, I think we can fluff this up. But I’m just like the organization of it, because there’s so many people. But, Tom, if you’re like.
221 00:19:49.250 ⇒ 00:19:51.040 Uttam Kumaran: I will. Yeah, I I will take that.
222 00:19:51.246 ⇒ 00:19:51.660 kim todaro: You know.
223 00:19:52.110 ⇒ 00:19:53.290 Uttam Kumaran: Awesome. Okay.
224 00:19:54.010 ⇒ 00:19:54.840 Uttam Kumaran: Alright. Cool.
225 00:19:54.840 ⇒ 00:19:57.179 Nicolas Sucari: Yeah, I think that’s fine. I mean.
226 00:19:57.310 ⇒ 00:20:09.000 Nicolas Sucari: Kim, if you want to go to Google ads, Facebook ads, and all those platforms to see if we can get some graphs. That’s okay, Ryan, you can maybe access Amazon and try to get something. For from Amazon customers or orders.
227 00:20:09.504 ⇒ 00:20:14.979 Nicolas Sucari: That will be okay. And you just can confirm us like the date range that we wanna use.
228 00:20:15.280 ⇒ 00:20:16.240 Nicolas Sucari: So we kind of.
229 00:20:16.970 ⇒ 00:20:17.500 kim todaro: Okay.
230 00:20:17.500 ⇒ 00:20:18.240 Nicolas Sucari: Trying to drive.
231 00:20:18.240 ⇒ 00:20:18.860 kim todaro: Maybe.
232 00:20:19.270 ⇒ 00:20:19.850 Nicolas Sucari: Okay.
233 00:20:20.140 ⇒ 00:20:36.669 Nicolas Sucari: yeah, let me know. And then we can. Yeah screenshot everything. I’ll go to find those other screenshots from shopify or our tools. Try to market to get something regarding Fedex or shipping providers. And then I will start. Yeah, adding everything into the document. Okay, you, Tom.
234 00:20:37.030 ⇒ 00:20:38.130 Uttam Kumaran: Yeah, perfect.
235 00:20:38.873 ⇒ 00:20:41.699 kim todaro: And even like under customer analysis, like.
236 00:20:41.720 ⇒ 00:20:44.930 kim todaro: I don’t know if you want to do this, let me know. But
237 00:20:45.130 ⇒ 00:20:50.363 kim todaro: shopify has, like pretty cool charts about understanding new versus returning customers.
238 00:20:52.165 ⇒ 00:20:52.780 Uttam Kumaran: Yeah.
239 00:20:53.010 ⇒ 00:20:57.189 kim todaro: Yeah. And then also from real. I was trying to look at what? What reports
240 00:20:57.530 ⇒ 00:21:05.729 kim todaro: have this? Because I forget. But the consumers versus pool service pros like. There’s a pretty compelling graph in Real in one of the reports I remember
241 00:21:06.710 ⇒ 00:21:08.769 kim todaro: about like how much revenue like
242 00:21:09.140 ⇒ 00:21:10.359 kim todaro: the revenue breakdown, but.
243 00:21:10.754 ⇒ 00:21:16.670 Uttam Kumaran: Yeah, Nico, I think you can probably grab that or Ryan from the grill customers.
244 00:21:17.490 ⇒ 00:21:18.590 Nicolas Sucari: Yeah, okay.
245 00:21:19.260 ⇒ 00:21:20.720 Nicolas Sucari: yeah, yeah, sure.
246 00:21:21.140 ⇒ 00:21:26.159 kim todaro: Okay. Alright, I’ll just. I’ll just add the screenshots where I think they belong. Does that work.
247 00:21:26.160 ⇒ 00:21:27.600 Uttam Kumaran: That’s fine!
248 00:21:27.600 ⇒ 00:21:28.500 kim todaro: Okay. Cool.
249 00:21:28.500 ⇒ 00:21:31.459 Uttam Kumaran: If there’s if there’s not a clear area, you can just throw them at the bottom.
250 00:21:31.460 ⇒ 00:21:32.260 kim todaro: Alrighty!
251 00:21:32.260 ⇒ 00:21:37.500 Uttam Kumaran: And then, yeah, we’ll be in slack. And then as soon as I kind of as soon as I see a lot of things filter, and I’ll start working.
252 00:21:37.740 ⇒ 00:21:44.109 kim todaro: And I can also ask Zendesk. I could also ask customer service to send me like a ticket from Zendesk, about like customer.
253 00:21:44.940 ⇒ 00:21:51.590 Uttam Kumaran: Yeah, if they have anything that’s like anything recent about, like someone’s about talking about price or something that would be helpful.
254 00:21:51.940 ⇒ 00:21:52.960 kim todaro: Alright! I’ll have to.
255 00:21:52.960 ⇒ 00:21:57.400 Uttam Kumaran: When we talked to Cody. He he was telling us a lot about that. If they have one in mind that’s simple.
256 00:21:58.107 ⇒ 00:21:59.930 Uttam Kumaran: That’d be perfect.
257 00:22:00.295 ⇒ 00:22:00.660 kim todaro: Cool
258 00:22:02.890 ⇒ 00:22:07.360 kim todaro: will do hopefully. Ben gets back to us soon about the the year.
259 00:22:07.690 ⇒ 00:22:08.749 kim todaro: so we can.
260 00:22:10.840 ⇒ 00:22:11.310 Nicolas Sucari: Perfect.
261 00:22:12.940 ⇒ 00:22:14.099 kim todaro: Alright. Thanks. Guys.
262 00:22:14.360 ⇒ 00:22:15.580 Nicolas Sucari: Talk later. Bye, bye.
263 00:22:15.580 ⇒ 00:22:16.609 Uttam Kumaran: Thanks, bye.