Meeting Title: Daily Sales Sync Date: 2025-01-24 Meeting participants: Connor Fenn, Nicolas Sucari, Uttam Kumaran
WEBVTT
1 00:00:18.360 ⇒ 00:00:19.320 Uttam Kumaran: You know.
2 00:00:19.770 ⇒ 00:00:20.360 Connor Fenn: Hey!
3 00:00:34.940 ⇒ 00:00:35.790 Uttam Kumaran: Fine.
4 00:00:44.410 ⇒ 00:00:45.240 Connor Fenn: Alright.
5 00:00:49.680 ⇒ 00:00:54.000 Connor Fenn: Is everybody here? I can’t see my, I’m just on my laptop, so I can’t see the videos.
6 00:00:54.210 ⇒ 00:00:55.245 Uttam Kumaran: Yeah, let me
7 00:00:56.240 ⇒ 00:00:59.130 Uttam Kumaran: Let me message, Robert, to see if he wants to join.
8 00:01:13.250 ⇒ 00:01:14.150 Uttam Kumaran: But yeah.
9 00:01:15.020 ⇒ 00:01:25.929 Uttam Kumaran: we could continue on my side. Abc. Home proposal is, I just got feedback like 5 min ago, and so that’s getting sent out.
10 00:01:26.860 ⇒ 00:01:29.739 Uttam Kumaran: Laravel. I followed up yesterday.
11 00:01:30.470 ⇒ 00:01:38.990 Uttam Kumaran: They he said that it’s taking a little bit. So let’s see, Televira, I’m still waiting
12 00:01:39.370 ⇒ 00:01:43.230 Uttam Kumaran: and sunrise I need to follow up with, so can we change that to like, follow up
13 00:01:44.465 ⇒ 00:01:47.190 Uttam Kumaran: or something. Yeah, follow up.
14 00:01:47.690 ⇒ 00:01:53.269 Uttam Kumaran: he he said. He would reach back out to me like I think this week I didn’t hear back, so I need to follow up with him.
15 00:01:56.780 ⇒ 00:01:57.190 Connor Fenn: Okay.
16 00:01:57.190 ⇒ 00:02:02.159 Uttam Kumaran: Maybe I’ll loop you in on that one, too, Connor, so that you can start moving that forward also.
17 00:02:02.840 ⇒ 00:02:09.350 Connor Fenn: Okay, on my end, Veyron. I spoke to Seth.
18 00:02:10.305 ⇒ 00:02:13.369 Connor Fenn: Call scheduled for Tuesday.
19 00:02:13.730 ⇒ 00:02:28.969 Connor Fenn: I think honestly, they’re gonna come back. And just he’s not gonna fully understand the value, and it’s gonna be kind of the same thing as cbre where I’m have to explain it to him. But now I like a better idea of what I want to say, so I gotta push that one faster.
20 00:02:29.470 ⇒ 00:02:31.490 Connor Fenn: Tsib. I
21 00:02:31.660 ⇒ 00:02:40.882 Connor Fenn: I don’t know what’s going on. Last time I told that you talked to Ian. He was like Bro. Don’t like. Don’t close it like I’m talking to my boss.
22 00:02:41.190 ⇒ 00:02:41.920 Uttam Kumaran: Okay.
23 00:02:41.920 ⇒ 00:02:44.530 Connor Fenn: Still waiting on an answer. It’s either
24 00:02:44.810 ⇒ 00:02:50.470 Connor Fenn: his boss is. Gonna say, just go for it, or I’m gonna have to do a little Demo for his boss. It’s 1 of the 2.
25 00:02:50.470 ⇒ 00:02:51.070 Uttam Kumaran: Okay.
26 00:02:51.985 ⇒ 00:03:03.140 Connor Fenn: Cbre. I followed up again yesterday. They they’re just not ready to make a decision. I got a response back from Brian.
27 00:03:04.990 ⇒ 00:03:10.979 Connor Fenn: So I pretty much just told them they have until the end of next week or I can’t hold the pricing anymore.
28 00:03:11.320 ⇒ 00:03:12.020 Uttam Kumaran: Okay.
29 00:03:12.366 ⇒ 00:03:15.140 Connor Fenn: Just to hopefully try to move that along
30 00:03:15.570 ⇒ 00:03:30.629 Connor Fenn: equine. I talked to Fred yesterday. My emails weren’t going through. So now he has the questions and everything. He actually reached out back to me. So he there is interest there which is good.
31 00:03:30.920 ⇒ 00:03:32.080 Uttam Kumaran: Nice. Okay.
32 00:03:32.720 ⇒ 00:03:37.989 Connor Fenn: Birch. Tip spoke to Kurt yesterday, gave him all the details on the hourly
33 00:03:38.673 ⇒ 00:03:44.469 Connor Fenn: he is should be meeting with his team in the next couple of hours.
34 00:03:45.359 ⇒ 00:03:51.150 Connor Fenn: And then hopefully, we’re sending over initial contract and ndas.
35 00:03:51.700 ⇒ 00:03:54.759 Connor Fenn: That’s the goal. So we will see.
36 00:03:58.660 ⇒ 00:04:09.220 Connor Fenn: The Staffing agency is a new one that I have a discovery call with next week with this girl Ava I went to college with they do
37 00:04:12.510 ⇒ 00:04:15.680 Connor Fenn: There was 2. Actually, I’ll show you. I can show you real quick.
38 00:04:18.589 ⇒ 00:04:25.619 Uttam Kumaran: For the for those sales meetings. Are are you recording those? Because I I still really would like to watch how you do those.
39 00:04:26.130 ⇒ 00:04:32.700 Connor Fenn: Yeah, I am record like, we only got it set up this week, though, and I’ve barely had anybody on my calls.
40 00:04:32.700 ⇒ 00:04:34.229 Uttam Kumaran: Oh, okay. Okay. Okay. Cool.
41 00:04:34.230 ⇒ 00:04:34.970 Connor Fenn: All these are.
42 00:04:34.970 ⇒ 00:04:35.510 Uttam Kumaran: So I will.
43 00:04:35.510 ⇒ 00:04:37.859 Connor Fenn: Commerce, like phone calls.
44 00:04:37.860 ⇒ 00:04:38.720 Uttam Kumaran: I see. Okay.
45 00:04:38.720 ⇒ 00:04:39.360 Connor Fenn: Yeah.
46 00:04:39.580 ⇒ 00:04:49.740 Uttam Kumaran: Yeah, cause I wanna, I basically wanna take how you explain and get these folk people over the line and start like writing the documentation. So, however, best, even if you call them on the phone.
47 00:04:49.860 ⇒ 00:04:56.970 Uttam Kumaran: if you can just record it somehow and just get the transcript. Because I do. Wanna, I do want to listen and sort of see how you’re framing it.
48 00:04:57.902 ⇒ 00:05:00.509 Uttam Kumaran: Whatever’s easiest. But yeah.
49 00:05:01.120 ⇒ 00:05:17.970 Connor Fenn: But yeah, so she she’s the director of this kind of staffing recruiting company. And I originally reached out. I was, gonna see what they were doing with like data and that kind of stuff. But they kinda are looking for a lead researcher solution. So
50 00:05:18.120 ⇒ 00:05:21.219 Connor Fenn: there’s more information in notion. If you want to check it out.
51 00:05:21.350 ⇒ 00:05:22.250 Connor Fenn: Okay?
52 00:05:23.050 ⇒ 00:05:26.680 Connor Fenn: And then on top of that.
53 00:05:27.060 ⇒ 00:05:33.409 Connor Fenn: just this morning I heard back from 3 c industries.
54 00:05:34.320 ⇒ 00:05:47.916 Connor Fenn: oh, I have a discovery call with them. He’s gonna reach back out to me today with availability followed up. I gave him shit I was like, are you ghosting me, or what? And he like fall back. He’s like, no, I’m so sorry I’ve been busy. So
55 00:05:48.510 ⇒ 00:05:49.050 Connor Fenn: okay.
56 00:05:49.050 ⇒ 00:05:55.399 Uttam Kumaran: Because, yeah, there’s some people that I’m ghosting to that. If they said that I may, I may have a chuckle and respond to. But.
57 00:05:56.320 ⇒ 00:05:57.240 Connor Fenn: So.
58 00:05:57.240 ⇒ 00:06:03.080 Uttam Kumaran: It’s funny. It’s so funny, cause like I’m in the same spot where, like, I’m getting sold like
59 00:06:03.500 ⇒ 00:06:17.000 Uttam Kumaran: so many people. Just wanna like, talk to me about selling. I’m like yo, I literally can’t. And so many people. And if the problem is like, I feel that I used to feel very bad like one guy literally messaged me. He’s like.
60 00:06:17.150 ⇒ 00:06:24.273 Uttam Kumaran: Catch up, hey? What’s a good time to catch up today? I’m like dude. I don’t want anything from you.
61 00:06:25.355 ⇒ 00:06:30.539 Uttam Kumaran: I’m on the other side. But dude, yeah, I respect it. Keep going. That’s great.
62 00:06:30.540 ⇒ 00:06:36.860 Connor Fenn: And then I actually have not added it into notion yet.
63 00:06:37.560 ⇒ 00:06:50.942 Connor Fenn: But I have another discovery. Call with the insurance Financial Advisor firm for the lead researcher on Tuesday.
64 00:06:52.190 ⇒ 00:06:53.490 Uttam Kumaran: Oh, nice. Okay.
65 00:06:53.490 ⇒ 00:07:03.760 Connor Fenn: I called them. And I was like dude. I’m telling you I didn’t work for you because I found out about this tool and you weren’t gonna let me use it. I really think you should use it.
66 00:07:03.760 ⇒ 00:07:09.640 Uttam Kumaran: That’s crazy. Let’s go dude. I mean.
67 00:07:09.890 ⇒ 00:07:12.392 Uttam Kumaran: I don’t know. Maybe we should try to like
68 00:07:12.840 ⇒ 00:07:17.949 Uttam Kumaran: if we can get the video done before you could start firing that out like.
69 00:07:18.700 ⇒ 00:07:32.610 Uttam Kumaran: I wish I I’m actually so pumped that Helene brought it up, because, like, it’s something that I’ve been wanting to do, and I’m like, Go what the fuck am I like? I’m not. I want you to cause you’re you now have the most experience. Putting this in front of people. And
70 00:07:33.500 ⇒ 00:07:52.190 Uttam Kumaran: I, I also agree with you that like this is the this is the thing. This is how we win on sales side, because a lot of people are selling stuff that they that doesn’t work. I would say, probably 50% of the market is selling stuff that doesn’t work, which means they just tell you it works. And they’re like, hop on the phone
71 00:07:52.578 ⇒ 00:08:04.929 Uttam Kumaran: for us. We’re confident that it works. So we as that’s why it’s like as much as we can show for free. Let’s just show. And if that’s like, Hey, I’m a real. You send them a message like I’m a real person. By the way.
72 00:08:05.000 ⇒ 00:08:25.499 Uttam Kumaran: like, here’s a walkthrough. Watch it on your own time like, and then let me know if this is interesting to you. Not many people are doing that, and you can. Even if you go through my Linkedin, you’ll see. I mean, unfortunately, I don’t accept a lot of connections. So I? I’m not getting a lot of it, but you’ll see the stuff people are using on me, and people don’t do that.
73 00:08:26.920 ⇒ 00:08:29.159 Connor Fenn: You don’t accept random connections.
74 00:08:30.160 ⇒ 00:08:33.720 Connor Fenn: I noticed that because I have your Linkedin up, you don’t.
75 00:08:34.440 ⇒ 00:08:35.100 Uttam Kumaran: Wow, cause dude.
76 00:08:35.100 ⇒ 00:08:37.880 Connor Fenn: I want to build like your following.
77 00:08:38.940 ⇒ 00:08:41.720 Uttam Kumaran: No, it’s like who the fuck are. Those people I already have a following.
78 00:08:42.280 ⇒ 00:08:47.779 Connor Fenn: Yeah, but like the bigger the following, the better. It could be like long term, for you know.
79 00:08:48.500 ⇒ 00:08:51.920 Uttam Kumaran: Those guys are those guys want to connect with me to sell me something.
80 00:08:52.650 ⇒ 00:08:54.880 Connor Fenn: Yeah, but they’ll still be in your
81 00:08:55.519 ⇒ 00:08:58.409 Connor Fenn: dude. It’s all numbers game, I’m telling you. I think.
82 00:08:58.410 ⇒ 00:09:01.860 Uttam Kumaran: I already have numbers. I’m gonna get the numbers without them, like.
83 00:09:01.860 ⇒ 00:09:05.809 Connor Fenn: Oh, you just wanna do all like good good numbers.
84 00:09:06.260 ⇒ 00:09:12.809 Uttam Kumaran: Well, I don’t need 30 like salespeople to follow me, because they’re not gonna buy anything.
85 00:09:12.990 ⇒ 00:09:16.669 Uttam Kumaran: And we I just need to post more, and the numbers will go up like.
86 00:09:17.060 ⇒ 00:09:21.470 Uttam Kumaran: And also a lot of people dude. It’s also like, not only that some people want to work for us.
87 00:09:21.680 ⇒ 00:09:25.899 Uttam Kumaran: Some people like wanna fish me for stuff.
88 00:09:26.240 ⇒ 00:09:26.580 Connor Fenn: Yeah.
89 00:09:26.580 ⇒ 00:09:31.140 Uttam Kumaran: It just like became a lot like I get like, I get a lot. So I just stopped.
90 00:09:31.590 ⇒ 00:09:34.800 Uttam Kumaran: I get your point about juicing the numbers, but also, like I
91 00:09:35.240 ⇒ 00:09:37.330 Uttam Kumaran: where where the numbers are going up
92 00:09:37.940 ⇒ 00:09:41.649 Uttam Kumaran: just as long as I post normal stuff, anyway, so we’ll get there. But.
93 00:09:42.040 ⇒ 00:09:42.800 Connor Fenn: Yeah.
94 00:09:42.800 ⇒ 00:09:54.949 Uttam Kumaran: Those guys aren’t gonna buy from me. They’re just like people trying to sell us like Hr services or like healthcare. So, or like people are like, Hey, you should invest in this real estate thing. I’m like, I don’t wanna be dealing with the spam.
95 00:09:55.330 ⇒ 00:09:56.750 Uttam Kumaran: Yeah, yeah.
96 00:09:57.120 ⇒ 00:09:58.279 Connor Fenn: Since I got you.
97 00:09:59.020 ⇒ 00:10:06.720 Connor Fenn: But yeah, that’s all my updates kind of there, as far as new leads.
98 00:10:06.910 ⇒ 00:10:09.329 Connor Fenn: I’ve sent out all of these
99 00:10:09.500 ⇒ 00:10:13.849 Connor Fenn: that’s like in this list. And then I’ve also been building out.
100 00:10:15.480 ⇒ 00:10:18.840 Connor Fenn: I did. Well, I did send out a few in here, too, but
101 00:10:20.100 ⇒ 00:10:24.289 Connor Fenn: I’m starting to like, build out this list.
102 00:10:26.200 ⇒ 00:10:29.399 Connor Fenn: And what I’ve been doing is I’ve been using
103 00:10:30.068 ⇒ 00:10:32.910 Connor Fenn: I’ve actually been using Gra
104 00:10:33.210 ⇒ 00:10:39.859 Connor Fenn: surprisingly to go and try to find
105 00:10:42.220 ⇒ 00:10:50.450 Connor Fenn: like Ecom product brands that are starting to really pop off and emerge in retail.
106 00:10:50.900 ⇒ 00:10:51.830 Uttam Kumaran: Nice.
107 00:10:51.830 ⇒ 00:11:00.050 Connor Fenn: Trying to like find decision makers for that. So these people are like new companies that are. Kinda
108 00:11:00.220 ⇒ 00:11:06.160 Connor Fenn: some of them are old, but are mostly they’re popping off in the retail kind of space.
109 00:11:06.944 ⇒ 00:11:16.250 Connor Fenn: And so that’s the message I sent you yesterday, I think, where it’s just like I’d like to finalize that list kinda
110 00:11:17.006 ⇒ 00:11:25.279 Connor Fenn: by the end of this week or weekend, and then maybe next week, we set up some kind of like initial campaign
111 00:11:25.640 ⇒ 00:11:30.889 Connor Fenn: Linkedin for something kind of like the vitacoco solution.
112 00:11:31.386 ⇒ 00:11:38.659 Connor Fenn: Because I think a lot of these companies are gonna end up facing those issues because a lot of them are like startups
113 00:11:38.850 ⇒ 00:11:50.339 Connor Fenn: startup like product brands, you know. And so they’re just starting to get into retail where they might not have all the answers for the all that. So if we can get ahead of them and build it in early, you never know.
114 00:11:51.170 ⇒ 00:11:53.779 Uttam Kumaran: So this is where also I think we should.
115 00:11:54.840 ⇒ 00:11:59.859 Uttam Kumaran: I mean, we sent out like tons and tons of stuff, for
116 00:12:00.040 ⇒ 00:12:04.839 Uttam Kumaran: we already did a huge campaign for Vitaco. We basically went after every
117 00:12:05.440 ⇒ 00:12:13.170 Uttam Kumaran: beverage product and target Amazon. That’s why I’m connected to all those beverage people because they accepted my invites didn’t get a lot of.
118 00:12:13.170 ⇒ 00:12:18.350 Connor Fenn: So it’s like, do you think it really just needs to be beverages like a lot of these are like
119 00:12:19.520 ⇒ 00:12:22.689 Connor Fenn: product makeup company, like canned tuna.
120 00:12:22.690 ⇒ 00:12:27.010 Uttam Kumaran: It doesn’t need to be beverage, but it’s like, if the beverage companies didn’t pick it up
121 00:12:27.480 ⇒ 00:12:33.299 Uttam Kumaran: convinced me that the any other, any other product company is gonna pick it up
122 00:12:34.060 ⇒ 00:12:38.449 Uttam Kumaran: because we didn’t have. We didn’t really get any luck with it.
123 00:12:39.520 ⇒ 00:12:46.359 Uttam Kumaran: My my counter would be we should go to data angle because we have a lot of data customers that are Ecom product that sell.
124 00:12:46.360 ⇒ 00:12:50.889 Connor Fenn: Yeah, I mean whatever, if you think the that would work too.
125 00:12:51.570 ⇒ 00:12:52.509 Uttam Kumaran: Yeah, I think.
126 00:12:52.510 ⇒ 00:12:54.838 Connor Fenn: Be brought up regardless
127 00:12:55.420 ⇒ 00:13:07.649 Uttam Kumaran: I think the lead, I think the source list is is smart. I also think that you should collap. Yeah, basically send whatever list you’re producing. You can also just send that to Erickson. He can produce what’s called a lookalike list
128 00:13:07.980 ⇒ 00:13:16.070 Uttam Kumaran: where he uses this. They we use it like this company and a couple called ocean I/O,
129 00:13:16.699 ⇒ 00:13:24.850 Uttam Kumaran: basically, it’s like, I just sent it in in zoom, it’s like a basically like a lookalike
130 00:13:25.430 ⇒ 00:13:30.919 Uttam Kumaran: type company where you can just type in any company it’ll give you like all of the similar ones.
131 00:13:31.570 ⇒ 00:13:37.419 Uttam Kumaran: So if you give him like 10 or 15, you’re like, you’ll find all these. He’ll go find it for you like pretty quickly.
132 00:13:37.590 ⇒ 00:13:45.669 Uttam Kumaran: I think that I think. My, I think I would say, let’s craft a mess messaging on the data side, because it’s seems to be working.
133 00:13:46.230 ⇒ 00:13:53.229 Uttam Kumaran: I think the the thing that’s working with via Coco is that the seeing that we worked with them on. Something gets us the end.
134 00:13:53.680 ⇒ 00:13:57.320 Uttam Kumaran: But something about that solution I don’t think is like.
135 00:13:58.130 ⇒ 00:14:03.250 Uttam Kumaran: not that it’s not value. I don’t know the I just don’t think that people are seeing what we’re talking about, so
136 00:14:03.530 ⇒ 00:14:06.219 Uttam Kumaran: cause we tried it for like 2 months to to pitch it.
137 00:14:07.330 ⇒ 00:14:11.080 Connor Fenn: I wonder why that is. You think there’s a lot of competitors in that space, or.
138 00:14:11.730 ⇒ 00:14:13.718 Uttam Kumaran: No, I just don’t think that.
139 00:14:14.280 ⇒ 00:14:17.129 Uttam Kumaran: it’s an important problem for a lot of people like.
140 00:14:17.850 ⇒ 00:14:22.080 Uttam Kumaran: I think they have a hundred other problems, and like this is on the bottom of the list.
141 00:14:22.360 ⇒ 00:14:23.669 Connor Fenn: Yeah, that’s right.
142 00:14:23.670 ⇒ 00:14:29.350 Uttam Kumaran: Like stock outs is important, but it’s also like
143 00:14:29.620 ⇒ 00:14:35.259 Uttam Kumaran: the target will tell you if you’re out of stock in one way or another, and it’s I don’t know. It’s just like
144 00:14:35.920 ⇒ 00:14:39.669 Uttam Kumaran: the the problem. And then the problem with these companies are always on fire.
145 00:14:39.990 ⇒ 00:14:41.439 Uttam Kumaran: So they’re not like
146 00:14:42.420 ⇒ 00:14:47.200 Uttam Kumaran: they’re just always all over the place. They have a hundred problems. If you could tackle them when they’re like
147 00:14:47.430 ⇒ 00:14:50.110 Uttam Kumaran: about to get to the store, maybe. But
148 00:14:50.380 ⇒ 00:14:53.990 Uttam Kumaran: I think the nice thing about the data part is like
149 00:14:54.110 ⇒ 00:14:56.549 Uttam Kumaran: they need data for the entire business.
150 00:14:56.710 ⇒ 00:14:59.979 Uttam Kumaran: And we have a lot of wins with some D to C companies. So
151 00:15:02.630 ⇒ 00:15:04.829 Uttam Kumaran: yeah, I don’t know. That’s my 2 cents.
152 00:15:05.040 ⇒ 00:15:08.240 Connor Fenn: Okay, sounds good.
153 00:15:11.480 ⇒ 00:15:15.029 Connor Fenn: Yeah, that’s all. I really kinda got right now.
154 00:15:17.820 ⇒ 00:15:18.460 Uttam Kumaran: Okay.
155 00:15:18.710 ⇒ 00:15:22.320 Connor Fenn: Is there anything else you think I should be doing, or.
156 00:15:23.180 ⇒ 00:15:30.120 Uttam Kumaran: I think that’s it. The only thing kind of 3 3 updates from yesterday. One, we talked. I message you about corral data.
157 00:15:31.160 ⇒ 00:15:34.730 Connor Fenn: Yeah, I there’s a bunch of messages I have saved from you.
158 00:15:34.730 ⇒ 00:15:35.380 Uttam Kumaran: Okay.
159 00:15:35.380 ⇒ 00:15:38.189 Connor Fenn: That I just like they even try to go through.
160 00:15:38.430 ⇒ 00:15:52.170 Uttam Kumaran: Cool. Yeah, go through that. I don’t. I think it should be self explanatory. Basically, it’s a cheap weekend for folks that aren’t up because on the data side, like, we’ll do an audit for 5 K. But our minimum to work is 10 KA month.
161 00:15:52.440 ⇒ 00:15:56.930 Uttam Kumaran: So and like moving up quickly.
162 00:15:57.350 ⇒ 00:16:05.869 Uttam Kumaran: So I think, for people that can’t afford that, but still need data help. We have a 5. We have this product that’s like within the 2 to 5 K range.
163 00:16:06.620 ⇒ 00:16:09.740 Uttam Kumaran: or maybe even cheaper, that we want to start pushing.
164 00:16:09.870 ⇒ 00:16:15.489 Uttam Kumaran: as otherwise we would just turn those people away. So I think for companies like Equineva, or something where
165 00:16:15.590 ⇒ 00:16:20.740 Uttam Kumaran: I don’t know it on the outside they may not have like the 10 k. 15 KA month.
166 00:16:21.430 ⇒ 00:16:35.050 Uttam Kumaran: because what we’re trying to do is anyone who’s 15 K, we’re basically looking to move up to 25. So if it doesn’t seem like possible. And they’re like, okay, they need something that’s more in like the less than 10 K range. We have a solution for that now. So check that out.
167 00:16:35.974 ⇒ 00:16:41.610 Uttam Kumaran: For for Erickson. He’s running a clay training like a.
168 00:16:41.610 ⇒ 00:16:44.499 Connor Fenn: Message me about that. He’s gonna send me a bunch of stuff.
169 00:16:44.790 ⇒ 00:16:51.490 Uttam Kumaran: Cool. I think it could be helpful like you’ll I mean one, this guy. He’s like an expert. And second.
170 00:16:51.720 ⇒ 00:16:53.029 Uttam Kumaran: I think you’ll
171 00:16:53.770 ⇒ 00:17:08.119 Uttam Kumaran: I think you’ll. This is that for that product. I think you’ll quickly understand exactly how it works. And frankly, I want you can start building clay shit which will hopefully speed us up too. So if you’re down to do that, then I think that’s a really really great use of time.
172 00:17:08.240 ⇒ 00:17:10.629 Connor Fenn: Okay. I think it’s self paced.
173 00:17:11.645 ⇒ 00:17:14.699 Uttam Kumaran: And maybe there’s like one check in or something. But.
174 00:17:16.010 ⇒ 00:17:18.640 Connor Fenn: Yeah, definitely check it out. It’s an interesting
175 00:17:18.750 ⇒ 00:17:20.709 Connor Fenn: is that the more I actually like
176 00:17:20.819 ⇒ 00:17:33.389 Connor Fenn: even watching that summary video that we sent Veyron and stuff like that. It’s like, I feel like it’s a lot of just plug in play in the, in the grand scheme of things with that platform.
177 00:17:34.020 ⇒ 00:17:42.769 Uttam Kumaran: Yeah. So basically we won’t. We won’t have to do a lot of work. The main work is like figuring out who their persona is, and the messaging. But
178 00:17:43.020 ⇒ 00:17:45.249 Uttam Kumaran: the core stuff is like plug and play.
179 00:17:45.370 ⇒ 00:17:46.550 Uttam Kumaran: Yeah, which is.
180 00:17:46.550 ⇒ 00:17:47.170 Connor Fenn: I think.
181 00:17:47.170 ⇒ 00:17:50.779 Uttam Kumaran: Why, I think there’s a move. There’s like a there’s energy here for that. So.
182 00:17:50.780 ⇒ 00:18:05.959 Connor Fenn: Let me ask you this. I this is something I’ve been kind of like. Keep think coming or thinking about when it comes up, and then I forget to kind of talk to you about it is, do you think we need to reevaluate the pricing structure on something like this? Because
183 00:18:06.110 ⇒ 00:18:11.970 Connor Fenn: the more I’m thinking about it the more it doesn’t really make sense to be like
184 00:18:12.380 ⇒ 00:18:15.999 Connor Fenn: if I was paying for the solution that I just like.
185 00:18:16.340 ⇒ 00:18:21.330 Connor Fenn: I don’t understand why it’s so expensive after the 1st month.
186 00:18:21.670 ⇒ 00:18:24.780 Connor Fenn: because, like once, the Platform’s built.
187 00:18:25.130 ⇒ 00:18:36.179 Connor Fenn: they’re just paying for the individual licenses being used on the platform. And that’s kind of it, right? Because there’s not much time being built out unless it’s
188 00:18:36.580 ⇒ 00:18:46.120 Connor Fenn: being built on writing workflows for the like engagements. Right? Am I thinking about that right? Or is there more to that.
189 00:18:47.200 ⇒ 00:18:48.889 Uttam Kumaran: Yeah. But can can you?
190 00:18:49.120 ⇒ 00:18:52.279 Uttam Kumaran: Can I repeat back what you said? You want us to charge less.
191 00:18:52.550 ⇒ 00:18:55.119 Connor Fenn: No, no, I don’t, but I.
192 00:18:55.120 ⇒ 00:18:59.999 Uttam Kumaran: Okay, then talk. But I’m gonna get, because I’m gonna go straight to the facts like, so then what is it
193 00:19:00.310 ⇒ 00:19:01.630 Uttam Kumaran: like? What do you think it is?
194 00:19:01.630 ⇒ 00:19:09.949 Connor Fenn: It’s like, How are we like, I just get this feeling that this might come up, especially with like Seth and Michael from Veyron is like.
195 00:19:10.110 ⇒ 00:19:19.100 Connor Fenn: what’s the value after the platforms built out, cause that’s how I was. Gonna sell it for him is like, you know, the reason it’s a 3 month
196 00:19:19.170 ⇒ 00:19:40.260 Connor Fenn: kind of commitment is because, like, we really need to take that 1st month to build out your like, you know your foundation. And then, once the foundations filtered. It’s just like fine tuning the little details. And I get this feeling. They’re gonna come back and be like, oh, so it costs this much to build out the foundation, and then you charge that amount each month on top of it.
197 00:19:40.800 ⇒ 00:19:44.330 Uttam Kumaran: I think you’re read. I think you’re coming. I think you’re reading into
198 00:19:44.710 ⇒ 00:19:47.770 Uttam Kumaran: my like. Here’s my feedback one.
199 00:19:50.670 ⇒ 00:20:03.169 Uttam Kumaran: There’s a price to pay for us to implement it. And there’s also price for us to support them. If there’s nobody on their side that’s gonna come in and own the tool and like fix issues or help improve it during that period. Then that’s us.
200 00:20:03.510 ⇒ 00:20:04.680 Uttam Kumaran: Second.
201 00:20:05.270 ⇒ 00:20:17.109 Uttam Kumaran: like, I, I really believe the value they’re getting is 10 times more than what they’re paying. I’m not willing to go cheaper, like there are other places in the market. They can go and maybe get it done cheaper, but
202 00:20:17.430 ⇒ 00:20:18.839 Uttam Kumaran: I don’t. Honestly, I don’t think.
203 00:20:18.840 ⇒ 00:20:19.210 Connor Fenn: Really.
204 00:20:19.210 ⇒ 00:20:19.650 Uttam Kumaran: Quality.
205 00:20:19.650 ⇒ 00:20:22.709 Connor Fenn: It’s like it is worth 10 KA month.
206 00:20:22.710 ⇒ 00:20:26.739 Uttam Kumaran: I think it’s worth way more like to to them in terms of value. Yeah.
207 00:20:26.900 ⇒ 00:20:31.740 Connor Fenn: Like. I guess you see the Val, like you’ve personally seen the value.
208 00:20:31.740 ⇒ 00:20:36.599 Uttam Kumaran: I’m not willing. I’m just because they want it, for cheap doesn’t mean we sell it for cheap.
209 00:20:36.750 ⇒ 00:20:37.430 Connor Fenn: Yeah.
210 00:20:37.990 ⇒ 00:20:43.329 Uttam Kumaran: They make a fuckload of money, too. I’ll ask them how much their work costs. Right like
211 00:20:43.460 ⇒ 00:20:46.399 Uttam Kumaran: this is what I’m saying. We’re running a business. I can’t.
212 00:20:46.550 ⇒ 00:21:00.040 Uttam Kumaran: just because just because we make a profit doesn’t make it like that, I have to price it fairly like, I am pricing pretty fairly. What’s the price? Again? For me? The explanation is like, what’s the price to have
213 00:21:00.170 ⇒ 00:21:07.069 Uttam Kumaran: hundreds and hundreds of leads in your inbox every day that are automatically researched. And we’ve already done the messaging for you.
214 00:21:07.590 ⇒ 00:21:10.559 Connor Fenn: So this is the thing that like this is my question.
215 00:21:10.560 ⇒ 00:21:13.350 Uttam Kumaran: If they don’t get it, then they can fuck off like.
216 00:21:13.350 ⇒ 00:21:14.410 Connor Fenn: It’s like, what?
217 00:21:14.410 ⇒ 00:21:16.090 Connor Fenn: Yeah, I’m not saying that I’m.
218 00:21:16.090 ⇒ 00:21:19.870 Uttam Kumaran: You know what I mean? Like if they don’t get it? That’s I’m not okay.
219 00:21:20.410 ⇒ 00:21:25.600 Uttam Kumaran: My stance is that like we’re not gonna reduce the price just because they don’t see the value.
220 00:21:26.580 ⇒ 00:21:41.990 Uttam Kumaran: It’s I think we need to think about what’s the I think, where, where I’m where, where I’m probably wrong in that is that we have something wrong in the in our positioning of it. I do think that we’re selling it for cheap, though, like, I don’t think this is that expensive.
221 00:21:42.620 ⇒ 00:21:44.480 Connor Fenn: Okay, my.
222 00:21:44.480 ⇒ 00:21:49.659 Uttam Kumaran: 5. Grand. Don’t think about 5 grand to like me and you as like
223 00:21:49.890 ⇒ 00:21:59.689 Uttam Kumaran: people. This is 5 grand to like a ginormous corporation. 5 grand. They like they like piss 5 grand like going out to lunch.
224 00:22:00.330 ⇒ 00:22:01.640 Connor Fenn: Yeah, that’s true.
225 00:22:01.640 ⇒ 00:22:11.250 Uttam Kumaran: Don’t think about like they’re not. They’re not paying for it like out of their pocket. The b 2 b is totally different. Like 5G’s, I should.
226 00:22:11.360 ⇒ 00:22:17.080 Uttam Kumaran: There’s gonna be a time where we won’t pick up the phone for less than 10 grand like
227 00:22:18.380 ⇒ 00:22:32.540 Uttam Kumaran: like we can’t operate. This is where we’re we’re not gonna be compete because there’s a hundred firms. Their initial thing is like, lower the price, discount it just to get the sale. But I’m telling you like it’s it’s a tough game to play, because.
228 00:22:32.540 ⇒ 00:22:34.070 Connor Fenn: Let me ask you this real quick.
229 00:22:34.580 ⇒ 00:22:40.519 Connor Fenn: Erickson’s customers a lot of them. Are they us based like companies.
230 00:22:41.280 ⇒ 00:22:42.100 Uttam Kumaran: Yeah.
231 00:22:42.100 ⇒ 00:22:43.639 Connor Fenn: They are! Why.
232 00:22:43.640 ⇒ 00:22:44.320 Uttam Kumaran: There!
233 00:22:44.320 ⇒ 00:22:46.770 Connor Fenn: So, okay, this is my thought, then, is.
234 00:22:46.770 ⇒ 00:22:47.989 Uttam Kumaran: I mean, we’re a customer.
235 00:22:48.330 ⇒ 00:22:52.257 Connor Fenn: I know I get that. But like we’re charging double
236 00:22:53.290 ⇒ 00:22:56.740 Connor Fenn: for Erickson to do the work for us. Right?
237 00:22:57.240 ⇒ 00:23:11.850 Connor Fenn: Sure I have we not brought in, Erickson told him that we’re charging double for his same thing, and take all of his clientele, too, and just take the face name of it, and just.
238 00:23:11.850 ⇒ 00:23:14.249 Uttam Kumaran: I still have to pay him to work. Bro.
239 00:23:14.620 ⇒ 00:23:15.430 Connor Fenn: I know, but like.
240 00:23:15.430 ⇒ 00:23:16.370 Uttam Kumaran: That gonna cost.
241 00:23:16.370 ⇒ 00:23:17.920 Connor Fenn: Your value.
242 00:23:19.900 ⇒ 00:23:26.450 Uttam Kumaran: Dude. How how you think I want to employ 10 people, 10 clay experts, and how much is that gonna cost.
243 00:23:26.880 ⇒ 00:23:32.549 Connor Fenn: No, I don’t. Yeah. But do you have to actually employ them? Or is there a way to use just the brain forge name?
244 00:23:32.550 ⇒ 00:23:37.560 Uttam Kumaran: But we’re arguing over $2,000 like it’s not.
245 00:23:37.560 ⇒ 00:23:39.709 Connor Fenn: Over 5 grand Bro. These are $10.
246 00:23:39.710 ⇒ 00:23:43.650 Uttam Kumaran: It’s not worth it. It’s not worth dude. It’s like this is what I’m saying.
247 00:23:44.170 ⇒ 00:23:54.959 Uttam Kumaran: Clay services is not a core offering of ours. We’ve yet to even sell one clay service deal for me to go and make an investment to bring on experts.
248 00:23:54.960 ⇒ 00:23:55.320 Connor Fenn: Fair.
249 00:23:55.320 ⇒ 00:23:58.200 Uttam Kumaran: It’s not worth it like I don’t see it right.
250 00:23:58.200 ⇒ 00:23:59.570 Connor Fenn: Yeah, no, you’re right. We need like.
251 00:23:59.570 ⇒ 00:24:14.070 Uttam Kumaran: Also, it’s like dude. I have to pay them one way or another. So whether, if they cost 2,500, and then maybe if we hire them what they cost 2,000 like it’s there’s still a cost. It doesn’t become like free. And then we’re like cool. We now we get, we make 5 K, it’s still like, there’s still a cost component.
252 00:24:14.500 ⇒ 00:24:20.139 Uttam Kumaran: You know, I actually like this, because at any moment, if this doesn’t work, we’d be like, Okay, fuck off.
253 00:24:20.810 ⇒ 00:24:22.330 Connor Fenn: Yeah, right.
254 00:24:22.580 ⇒ 00:24:28.810 Uttam Kumaran: Like, that’s my equation, which is like, okay, maybe we’re paying a little bit of a premium by using an external service.
255 00:24:29.210 ⇒ 00:24:35.500 Uttam Kumaran: If this starts to work, and we’re like cool. Maybe we can fulfill it for like one grand each.
256 00:24:36.190 ⇒ 00:24:39.330 Uttam Kumaran: Okay. But even then, dude, it’s like 2,500.
257 00:24:39.780 ⇒ 00:24:44.950 Uttam Kumaran: And if we’re able to make 50% on it. I’m happy to give you a sense.
258 00:24:45.210 ⇒ 00:24:47.380 Uttam Kumaran: The amount of time we’ve spent
259 00:24:47.650 ⇒ 00:24:53.100 Uttam Kumaran: just working on these deals is 5 grand in our like collective.
260 00:24:53.300 ⇒ 00:24:55.829 Uttam Kumaran: hourly. Sal. There are collective salaries.
261 00:24:56.180 ⇒ 00:24:56.780 Connor Fenn: Yeah.
262 00:24:57.000 ⇒ 00:24:57.520 Uttam Kumaran: So that
263 00:24:57.520 ⇒ 00:25:02.379 Uttam Kumaran: that’s that’s the sort of like. If if you break, if you break it out, the whole math is like
264 00:25:02.600 ⇒ 00:25:11.323 Uttam Kumaran: from from talking to these guys, closing them, packaging Demos, fulfilling it. We may not make any money on these.
265 00:25:12.000 ⇒ 00:25:15.219 Uttam Kumaran: so it’s a it’s always like.
266 00:25:15.530 ⇒ 00:25:17.389 Uttam Kumaran: I always want to think about
267 00:25:18.160 ⇒ 00:25:24.090 Uttam Kumaran: pushing up the price, you know, and and then it’s up to us to to make the value seem really clear, you know, and
268 00:25:24.300 ⇒ 00:25:30.230 Uttam Kumaran: I feel like, I feel pretty strong about the value. But there’s definitely some disconnect versus, how do we translate that? And
269 00:25:30.840 ⇒ 00:25:33.050 Uttam Kumaran: we need to. We need to work on that. Yeah.
270 00:25:33.970 ⇒ 00:25:35.449 Connor Fenn: No, that’s fair. Okay.
271 00:25:36.020 ⇒ 00:25:43.240 Uttam Kumaran: Do you get my point a little bit? I see your I see your push back, though it’s it’s fair and sorry. I don’t mean to get animated. I just like
272 00:25:43.360 ⇒ 00:25:45.693 Uttam Kumaran: I’m just thinking through it.
273 00:25:46.340 ⇒ 00:25:48.870 Connor Fenn: No, that makes. It’s just stuff I don’t actually think about.
274 00:25:48.870 ⇒ 00:25:55.079 Uttam Kumaran: No, no, it’s good. It’s all good questions. I also think, like, you know, when I started the business, too, like the numbers.
275 00:25:55.370 ⇒ 00:25:56.939 Uttam Kumaran: seem really vague.
276 00:25:57.454 ⇒ 00:26:02.699 Uttam Kumaran: However, these are numbers for corporations that are making millions and millions of dollars
277 00:26:03.180 ⇒ 00:26:14.489 Uttam Kumaran: like out of me in your pocket. Sure, that’s why the Ian thing is tough because we’re asking Ian to spend 5 K. Of his own money. That’s different than asking Tsib. Tsib is like.
278 00:26:14.830 ⇒ 00:26:15.839 Uttam Kumaran: probably I could.
279 00:26:16.240 ⇒ 00:26:20.880 Uttam Kumaran: They probably make double digit millions of dollars a year, maybe hundreds of millions of dollars a year.
280 00:26:21.070 ⇒ 00:26:21.510 Connor Fenn: Yeah.
281 00:26:21.510 ⇒ 00:26:23.989 Uttam Kumaran: What the what the heck is 5 grand like.
282 00:26:24.730 ⇒ 00:26:25.320 Connor Fenn: That’s true.
283 00:26:25.320 ⇒ 00:26:31.560 Uttam Kumaran: That’s where it’s that’s where I’m kind of like disappointed on that. I’m like, you guys are like.
284 00:26:31.860 ⇒ 00:26:40.310 Uttam Kumaran: you kind of like our losers like, what spend 5 grand on this solution that we’re gonna we’re really gonna take seriously and do for you
285 00:26:40.410 ⇒ 00:26:43.227 Uttam Kumaran: and make sure it works right like. And
286 00:26:43.580 ⇒ 00:27:00.569 Connor Fenn: The problem. So the problem, though they run definitely, you’re right, makes total sense. The problem with like cbre, though, is, they’re kind of like in the same boat as like Ian, in a way, is they don’t have any funding. It’s literally all out of those 2 guys pockets.
287 00:27:00.950 ⇒ 00:27:03.049 Uttam Kumaran: Yeah, I I know, but also.
288 00:27:03.050 ⇒ 00:27:09.570 Connor Fenn: And well, I’m just thinking, though, like I’m from my, that’s kind of like I’ve been thinking about that. That’s
289 00:27:10.080 ⇒ 00:27:11.370 Connor Fenn: the target.
290 00:27:11.370 ⇒ 00:27:12.359 Uttam Kumaran: 5. Grand.
291 00:27:12.360 ⇒ 00:27:13.430 Connor Fenn: Oh, 4!
292 00:27:13.850 ⇒ 00:27:16.550 Uttam Kumaran: They have millions and millions of dollars.
293 00:27:16.750 ⇒ 00:27:18.500 Connor Fenn: Those guys, no way.
294 00:27:20.267 ⇒ 00:27:21.430 Uttam Kumaran: The Vayron people!
295 00:27:21.430 ⇒ 00:27:26.059 Uttam Kumaran: No. Oh, Michael, yeah, Michael does, for sure. But I’m
296 00:27:26.060 ⇒ 00:27:29.819 Uttam Kumaran: 5 grand. They probably spent 5 grand on dinner last night.
297 00:27:31.230 ⇒ 00:27:34.860 Connor Fenn: Yeah, no. Those guys, I think will be fine. I’m not worried.
298 00:27:34.860 ⇒ 00:27:37.720 Uttam Kumaran: Re people. Yes, but this is where I was like.
299 00:27:38.400 ⇒ 00:27:48.219 Uttam Kumaran: Look, if it’s like when you okay, let me give you an anecdote when you go to Chipotle, are you like, hey? Can you give it to me for 5 bucks?
300 00:27:50.140 ⇒ 00:27:55.200 Uttam Kumaran: No, that’s the cost. It’s like you don’t get your phone like that.
301 00:27:56.290 ⇒ 00:27:56.870 Connor Fenn: That’s true.
302 00:27:57.120 ⇒ 00:28:03.469 Uttam Kumaran: You know what I mean? It’s like some people they’re just. They’re not willing to spend, or they don’t have the money. Then if
303 00:28:04.020 ⇒ 00:28:17.939 Uttam Kumaran: this is America like, you gotta pay money to get services. I mean, that’s why. Also, I want. I’m actually, I encourage people to go look up alternatives like. If people want to go look up like
304 00:28:18.100 ⇒ 00:28:21.120 Uttam Kumaran: clay agencies and go evaluate them.
305 00:28:21.720 ⇒ 00:28:27.390 Uttam Kumaran: and you should call them too, like we could go call them and get prices. It’s not gonna look much different than us.
306 00:28:29.930 ⇒ 00:28:33.179 Uttam Kumaran: And so that’s where I’m pretty strong about like
307 00:28:33.990 ⇒ 00:28:39.059 Uttam Kumaran: not having this notion of like discounting, because I do think that we price fairly
308 00:28:39.564 ⇒ 00:28:43.550 Uttam Kumaran: in fact, on the I do think that we’re actually quite cheap. I think
309 00:28:44.100 ⇒ 00:28:47.689 Uttam Kumaran: if if in this conversation they were talking about this money.
310 00:28:47.920 ⇒ 00:29:00.229 Uttam Kumaran: I I would love to share with you. Some examples of some other contracts that I know of, and you’re gonna throw up hearing about what some people are charging and what people are getting like.
311 00:29:00.670 ⇒ 00:29:06.599 Uttam Kumaran: and, in fact, in fact, although it may seem counterintuitive, the higher the price. The less
312 00:29:07.190 ⇒ 00:29:08.500 Uttam Kumaran: strict people are
313 00:29:10.540 ⇒ 00:29:16.779 Uttam Kumaran: people who are spending 20 like we’ve had people that spend 15 grand with us, that we we booked in 2 meetings.
314 00:29:18.420 ⇒ 00:29:22.270 Uttam Kumaran: and we’ve had people that spend 2 grand with us that took 10 meetings.
315 00:29:23.610 ⇒ 00:29:27.909 Uttam Kumaran: It’s like, if you, the folks who are thrifty and sort of like
316 00:29:28.080 ⇒ 00:29:31.190 Uttam Kumaran: don’t have cash. Yeah, they’re careful over their cash.
317 00:29:31.470 ⇒ 00:29:34.659 Uttam Kumaran: but like it’s up to us to be like.
318 00:29:34.870 ⇒ 00:29:42.069 Uttam Kumaran: we believe in what we price and the value you’re getting, and so you don’t like it. Fine. So be it. There’s other people that need our services
319 00:29:42.850 ⇒ 00:29:48.440 Uttam Kumaran: like you’ll be surprised the higher in the price to go, the easier it’s gonna get for us. I’m telling you.
320 00:29:49.490 ⇒ 00:29:53.379 Uttam Kumaran: it’s just tough, like we need to sort of accumulate a lot of like.
321 00:29:54.210 ⇒ 00:29:57.919 Uttam Kumaran: First, st we need to be confident right in like our prices.
322 00:29:58.040 ⇒ 00:30:00.000 Uttam Kumaran: And then we need to get the messaging right.
323 00:30:00.350 ⇒ 00:30:05.299 Uttam Kumaran: But yeah, cause I was in this, I was in this sort of like
324 00:30:05.860 ⇒ 00:30:13.100 Uttam Kumaran: this is when I started the company I was like, I’ll get whatever money and I would discount, do all sorts of stuff, but it just backfired, and I would never make money on anything.
325 00:30:13.300 ⇒ 00:30:15.350 Uttam Kumaran: So I’m a little bit careful.
326 00:30:16.990 ⇒ 00:30:18.119 Connor Fenn: That’s fair enough.
327 00:30:18.470 ⇒ 00:30:19.050 Uttam Kumaran: Yeah.
328 00:30:19.580 ⇒ 00:30:27.279 Uttam Kumaran: okay, cool. I mean, if I think if they’re on closes, if Equineva closes, and if birth if burstep, the burstep seems like it’s gonna go through right? So.
329 00:30:27.440 ⇒ 00:30:35.959 Connor Fenn: Birds, tip. I they he needs that. So that’s actually one thing I’m curious to talk to you about is, how much do you think like that automation solution is gonna be
330 00:30:36.200 ⇒ 00:30:37.470 Connor Fenn: like, just like.
331 00:30:37.470 ⇒ 00:30:41.149 Uttam Kumaran: Well, he wanted something he wanted, like the application built right.
332 00:30:41.470 ⇒ 00:30:47.810 Connor Fenn: Yeah, so they want like it. Yeah, an internal pretty
333 00:30:48.010 ⇒ 00:30:52.099 Connor Fenn: pretty much quoting tool where they have like a
334 00:30:52.570 ⇒ 00:31:02.649 Connor Fenn: kind of template in place where they just give the AI the specific, you know, measurements, materials, and definitions of the product. And then it puts together that
335 00:31:02.780 ⇒ 00:31:05.030 Connor Fenn: you know perfect form.
336 00:31:06.010 ⇒ 00:31:11.240 Uttam Kumaran: Yeah, I don’t know enough I have to. That’s what we’ll find out. I’m not sure it’s a
337 00:31:12.180 ⇒ 00:31:13.330 Uttam Kumaran: it’s a.
338 00:31:13.770 ⇒ 00:31:16.199 Connor Fenn: Over 10 KA month, hopefully.
339 00:31:17.750 ⇒ 00:31:23.099 Uttam Kumaran: Yeah, I don’t. I mean, yeah, nothing like, yeah. Building something like that is gonna be expensive.
340 00:31:23.540 ⇒ 00:31:24.240 Connor Fenn: Okay.
341 00:31:24.998 ⇒ 00:31:32.790 Uttam Kumaran: I think it’s also based on like, whether we’re gonna do part of it or whether we’ll we’ll kick it to a partner for a referral fee.
342 00:31:33.422 ⇒ 00:31:38.930 Uttam Kumaran: Cause some of that stuff sounds like I don’t know. I don’t know enough yet. Actually. So we’ll have to see
343 00:31:39.990 ⇒ 00:31:43.360 Uttam Kumaran: either way where they’re charging the 10. So.
344 00:31:47.650 ⇒ 00:31:48.480 Connor Fenn: You said what.
345 00:31:48.920 ⇒ 00:31:51.600 Uttam Kumaran: No, I said. Either way, we’re charging for the 10 h, so.
346 00:31:51.600 ⇒ 00:31:56.600 Connor Fenn: Oh, yeah, yeah. I don’t think the Arrow. I don’t think they’re
347 00:31:57.520 ⇒ 00:32:01.810 Connor Fenn: as crazy products as we think, either.
348 00:32:02.050 ⇒ 00:32:04.386 Uttam Kumaran: Okay, you wanna bet.
349 00:32:04.970 ⇒ 00:32:07.349 Connor Fenn: Maybe I could be wrong. I don’t know.
350 00:32:07.740 ⇒ 00:32:08.406 Uttam Kumaran: This is
351 00:32:08.740 ⇒ 00:32:14.600 Connor Fenn: Had some like crazy gun thing in Vegas, I guess, for for Ct. Home, too.
352 00:32:15.150 ⇒ 00:32:27.889 Uttam Kumaran: I just think like I don’t know. It’s some people have really big dreams about what’s possible, and we’ll go figure it out for them like. That’s why I think we’re doing him a solid because he has. Clearly there’s no one on his team that can shoot straight and be like.
353 00:32:28.130 ⇒ 00:32:31.120 Uttam Kumaran: Is this something possible? That’s what we’ll do.
354 00:32:31.330 ⇒ 00:32:33.359 Uttam Kumaran: you know. Hopefully, he’ll see that. And
355 00:32:33.890 ⇒ 00:32:45.609 Uttam Kumaran: also, I I do think that we’re also gonna evaluate OP opportunities for data. So when I go in for those 10 h, we’re gonna look at this AI product. And I’ll I’ll give you a sense of like what we can also sell on the data side.
356 00:32:45.970 ⇒ 00:32:46.820 Connor Fenn: Okay.
357 00:32:46.820 ⇒ 00:32:50.840 Uttam Kumaran: Cause, I think, like, if they don’t have a data solution corral seems like, really, really good for them.
358 00:32:51.840 ⇒ 00:32:52.620 Connor Fenn: Perfect. Okay.
359 00:32:52.620 ⇒ 00:32:57.560 Uttam Kumaran: So we’ll see. I I think, like as long as we get into there’s a really really good chance that
360 00:32:58.240 ⇒ 00:33:00.200 Uttam Kumaran: we sell them something.
361 00:33:00.480 ⇒ 00:33:07.409 Uttam Kumaran: And then at at minimum. He he’s like, you know, these guys are solid. Let me. Maybe he doesn’t need it. But he refers us some people. So
362 00:33:08.520 ⇒ 00:33:10.790 Uttam Kumaran: let’s get it close, and let’s let’s go.
363 00:33:12.060 ⇒ 00:33:17.049 Connor Fenn: Alright. Sounds good. I know we’re going over time, so I’ll give you back.
364 00:33:17.170 ⇒ 00:33:19.689 Connor Fenn: Nico. Are you good? You’re quiet. Then you realize.
365 00:33:21.100 ⇒ 00:33:27.260 Nicolas Sucari: Hey, guys, yeah, I’ve been listening and everything. And yeah, I’ve been working on something else. So yeah.
366 00:33:27.890 ⇒ 00:33:30.559 Nicolas Sucari: don’t worry about me. Okay.
367 00:33:31.830 ⇒ 00:33:32.420 Uttam Kumaran: Nice.
368 00:33:32.420 ⇒ 00:33:35.539 Nicolas Sucari: Do you? Do you mind if I share something with you? Let me see.
369 00:33:35.540 ⇒ 00:33:36.000 Nicolas Sucari: Sure
370 00:33:36.000 ⇒ 00:33:49.450 Nicolas Sucari: oriented on? Yeah, I’m working on creating kind of these skew like breakdown that we talked about, that I can share and see how we can like nail next projects.
371 00:33:51.030 ⇒ 00:33:56.930 Nicolas Sucari: Let me see if these kind of work works for the future like
372 00:33:57.820 ⇒ 00:34:06.859 Nicolas Sucari: just like having a project, name, goal, success, criteria, like, what is the project that we’re talking about? This is a skill, cleaning, app creating a master list. This our goal
373 00:34:07.323 ⇒ 00:34:33.030 Nicolas Sucari: and having, like the consistent data, flows between all of the platforms and the criteria of success, would be like having these consistent skews across all platforms and matching all of the data between them. Right? So I I’m breaking down like the different phases that we will need to work on these kind of projects. 1st of all, like data gathering and adding like, these kind of yeah, sticky notes, just like, what are the tasks that each face will have?
374 00:34:33.070 ⇒ 00:34:53.569 Nicolas Sucari: So we already did that. The data gathering? We have the data from all of the different sources we have the elements that we need to create the master list. Now, we’re in Phase 2, where we are working on normalizing the duplication, doing the matching between all of the lists and removing like the inactive ones. Once we have like that master list, we should go to
375 00:34:53.570 ⇒ 00:35:06.870 Nicolas Sucari: the metadata validation. That is like, okay, we need to know which ones are active, which ones are inactive. What are all of the costs? I’m adding here, like, what are the pricing that we have descriptions, model numbers everything here on phase 3.
376 00:35:06.940 ⇒ 00:35:14.930 Nicolas Sucari: And then we will go to the priority phase, where we will like select top 20 skus
377 00:35:15.317 ⇒ 00:35:44.910 Nicolas Sucari: to do kind of the analysis and work directly towards that. And then, like kind of final phase of like implementation and monitoring, or kind of continuous improvement on how to keep updated all of these for the future every time we have like a new skew, what’s the process? Every time we need to delete something from all of the platforms. How we do that like that’s kind of the final phase. What do you think about like these every time we have like a new project. After we have a meeting, I can get the Transcript. Try to build something.
378 00:35:44.910 ⇒ 00:35:45.300 Uttam Kumaran: Yeah.
379 00:35:45.300 ⇒ 00:35:46.890 Nicolas Sucari: Please validate with everyone.
380 00:35:46.890 ⇒ 00:35:47.210 Uttam Kumaran: Great.
381 00:35:47.930 ⇒ 00:35:55.989 Nicolas Sucari: Try to think of what are the different tasks we need to to work on each on each of the different phases. So that we can. Yeah, actually.
382 00:35:56.699 ⇒ 00:36:00.390 Nicolas Sucari: do a good job on on kind of this project.
383 00:36:00.820 ⇒ 00:36:03.169 Uttam Kumaran: No, this is. This is in the right direction.
384 00:36:03.170 ⇒ 00:36:07.830 Nicolas Sucari: I mean, it’s super simple, but it’s kind of a discovery on how we are. Gonna do.
385 00:36:07.830 ⇒ 00:36:13.530 Uttam Kumaran: No, this is perfect, I think. Like, I want to start as simple as possible. I have a lot of ideas about like
386 00:36:13.810 ⇒ 00:36:18.860 Uttam Kumaran: adding more information here, but I do think that i i 1 thing that.
387 00:36:18.860 ⇒ 00:36:19.340 Nicolas Sucari: My first.st
388 00:36:19.340 ⇒ 00:36:21.530 Uttam Kumaran: Yeah. Go ahead.
389 00:36:21.530 ⇒ 00:36:30.270 Nicolas Sucari: Like. Then I’ll go like for per each phase I will add, like, kind of here, a different one that says, Okay, data modeling requirements. Okay.
390 00:36:30.550 ⇒ 00:36:31.560 Uttam Kumaran: Yeah.
391 00:36:32.150 ⇒ 00:36:36.889 Nicolas Sucari: So let’s say so. This is the tumbling requirements.
392 00:36:38.200 ⇒ 00:36:56.490 Nicolas Sucari: So we will say for each phase what we will need from the data modeling. And then there is like more tasks that we need to do, and we can assign directly to Luke, to you or to anyone working on the in the Ae side, so that we can provide information needed to work on each of these kind of different things. Okay.
393 00:36:57.070 ⇒ 00:36:57.690 Uttam Kumaran: Okay.
394 00:36:59.020 ⇒ 00:37:11.370 Nicolas Sucari: Like. That’s kind of how I thought about it. We can also add like meetings when we need like another one for meetings, and say when we need a meeting on each of these faces, what we need to validate with the clients and that kind of stuff.
395 00:37:11.870 ⇒ 00:37:14.419 Nicolas Sucari: But we need to start from the simple one.
396 00:37:14.670 ⇒ 00:37:15.200 Uttam Kumaran: Yeah.
397 00:37:15.200 ⇒ 00:37:17.159 Nicolas Sucari: And yeah, and then.
398 00:37:17.160 ⇒ 00:37:23.290 Uttam Kumaran: 3 things, one. The top, 2 pieces is like as much detail as possible.
399 00:37:24.380 ⇒ 00:37:27.819 Nicolas Sucari: Right? Yeah, include not only including these, but like.
400 00:37:28.020 ⇒ 00:37:37.030 Uttam Kumaran: Videos or or links, or whatever. Then the second thing is, we work on the technical requirements. And the 3rd thing is, then we can think about timeline.
401 00:37:38.640 ⇒ 00:37:40.270 Uttam Kumaran: the what the requirements are.
402 00:37:41.220 ⇒ 00:37:41.760 Nicolas Sucari: Yep.
403 00:37:41.760 ⇒ 00:37:43.059 Uttam Kumaran: That’s that’s the thing.
404 00:37:44.860 ⇒ 00:37:45.700 Nicolas Sucari: Okay.
405 00:37:46.570 ⇒ 00:37:47.630 Uttam Kumaran: So, yeah, I mean.
406 00:37:47.630 ⇒ 00:37:48.230 Nicolas Sucari: And.
407 00:37:48.520 ⇒ 00:37:54.520 Uttam Kumaran: Yeah, I think notion has some good. I mean, Sigma has some good templates about on like
408 00:37:55.028 ⇒ 00:38:01.710 Uttam Kumaran: you’ve probably seen them about the project planning stuff. But I do think that this is a good place. This is a great place to start, and like
409 00:38:02.250 ⇒ 00:38:08.920 Uttam Kumaran: starting this simple helps with a lot, and then we could sort of think about what our template is. Long term.
410 00:38:09.610 ⇒ 00:38:13.489 Nicolas Sucari: Yeah, I didn’t use the templates because they were like fixed customs.
411 00:38:13.490 ⇒ 00:38:13.850 Uttam Kumaran: Yes.
412 00:38:13.850 ⇒ 00:38:30.709 Nicolas Sucari: That I’m I’m not sure that it was gonna work for us. So I started like as simple as I as I could like, if we all agree on like these are the different phases that we need to work on the project. And these are the details. And we have everything really detailed here.
413 00:38:30.920 ⇒ 00:38:43.839 Nicolas Sucari: The next step is gonna be easier, like understanding. What are the data modeling requirements that we need per each step per per each phase. And what are the meetings that we’ll need with each client like? Everything will be like? I think it’s gonna be simpler.
414 00:38:44.444 ⇒ 00:38:48.419 Nicolas Sucari: If we all have like the same understanding of what we are trying to achieve.
415 00:38:48.860 ⇒ 00:38:49.600 Uttam Kumaran: Okay.
416 00:38:49.950 ⇒ 00:38:53.699 Uttam Kumaran: okay, cool. And this is a great place to. Yeah, this is a great place to start. And let’s
417 00:38:54.437 ⇒ 00:38:59.320 Uttam Kumaran: let’s just try to use this for, or you can even send screenshots of this when we
418 00:38:59.720 ⇒ 00:39:05.570 Uttam Kumaran: when we’re sort of talking to Ben and Dan, yeah, yeah. And.
419 00:39:05.570 ⇒ 00:39:13.159 Nicolas Sucari: When I continue with this I’ll send it to the Channel with everyone internally, so that you can take a look and.
420 00:39:13.160 ⇒ 00:39:16.740 Uttam Kumaran: And once we have a template, too, you can just ask. And to basically help make it look
421 00:39:17.340 ⇒ 00:39:19.200 Uttam Kumaran: yeah, nice. And fig in fig jam.
422 00:39:20.510 ⇒ 00:39:21.580 Nicolas Sucari: Perfect. Okay.
423 00:39:22.360 ⇒ 00:39:23.000 Nicolas Sucari: Cool.
424 00:39:23.000 ⇒ 00:39:23.560 Uttam Kumaran: Okay.
425 00:39:24.240 ⇒ 00:39:28.490 Uttam Kumaran: Okay. Awesome. Alright guys. I’m gonna jump. And then I guess we’ll talk in the team meeting.
426 00:39:29.280 ⇒ 00:39:31.200 Nicolas Sucari: Yeah. Thank you. Guys, bye-bye.
427 00:39:31.200 ⇒ 00:39:32.480 Uttam Kumaran: Thank you. Bye.