Meeting Title: Uttam-Jack <> Kim Date: 2024-03-04 Meeting participants: Kimtodaro, Jack Tomei, Uttam Kumaran
WEBVTT
1 00:00:21.370 ⇒ 00:00:22.460 Jack Tomei: No.
2 00:01:55.340 ⇒ 00:01:57.200 Uttam Kumaran: hey? Oh.
3 00:01:57.970 ⇒ 00:02:11.920 Uttam Kumaran: I figure we could just kind of use half this time to just chat about this week since I missed the stand up. Yeah, yeah. I guess couple of things. Also, Cody just got back to us.
4 00:02:12.580 ⇒ 00:02:24.249 Jack Tomei: sick that was must be like 30 s ago, because I just saw that thread literally 30 s. It was like 328 like, it’s and actually like a ton of info. Wow thing by thing.
5 00:02:24.940 ⇒ 00:02:30.180 Uttam Kumaran: Yeah, no, I mean, like, and also gave us like a couple of good solutions. I think
6 00:02:30.320 ⇒ 00:02:31.450 Uttam Kumaran: so.
7 00:02:34.210 ⇒ 00:02:46.059 Uttam Kumaran: Okay, I’m just gonna read through this real quick. Yeah, if if regardless, we could talk to that, and then we can talk through this week, and then we’ll see if Kim joins.
8 00:02:48.040 ⇒ 00:02:49.500 Jack Tomei: I have a feeling she won’t
9 00:02:51.020 ⇒ 00:03:02.709 Jack Tomei: just play phone tag. We’ll see if she joins. Then she joins. Otherwise I’ll it sounds like we’ll talk to her tomorrow or today, you know. I think it just needs like again, like 10 min to see the message.
10 00:03:09.120 ⇒ 00:03:13.559 Jack Tomei: Okay, it’s sick that he knows, like what the main issue is with this Bd Xbt thing
11 00:03:15.180 ⇒ 00:03:16.880 Jack Tomei: design change. That’s it.
12 00:03:22.510 ⇒ 00:03:28.299 Jack Tomei: Yeah, that’s what we. That’s what our data shows that half of the warranty stuff is the Bdxb
13 00:03:28.790 ⇒ 00:03:30.440 Uttam Kumaran: Umhm, right?
14 00:03:40.870 ⇒ 00:03:49.210 Jack Tomei: Okay? So he has even one more drill down, which is like, what’s the issue? The driver. We don’t have that data really like keypad motor leak.
15 00:03:49.540 ⇒ 00:03:57.720 Uttam Kumaran: Yeah, that’s great. I wonder? I think it looks like they’re doing. Then this is Google sheets this. So it’s probably just tracking it manually.
16 00:03:58.500 ⇒ 00:04:04.580 Jack Tomei: So they must put in some extra info when they submit the warranty, there must be like a warranty claim.
17 00:04:04.940 ⇒ 00:04:09.629 Uttam Kumaran: Yeah, so that’s a good. So that’s a good question. One. Let’s see if we can get this sheet, because
18 00:04:09.710 ⇒ 00:04:12.110 Uttam Kumaran: I would just bring this in.
19 00:04:24.720 ⇒ 00:04:39.100 Uttam Kumaran: Yeah, that’s smart. What he’s what he’s mentioning is smart warranty skew. There’s no good way to do it otherwise, because
20 00:04:39.160 ⇒ 00:04:44.660 Jack Tomei: you still want to show that you’re losing the item like an extra item from
21 00:04:44.730 ⇒ 00:04:50.650 Uttam Kumaran: your inventory. But you don’t. You don’t want to show that it’s either discounted or that.
22 00:04:51.140 ⇒ 00:05:07.370 Jack Tomei: like you, you need some way of like essentially flagging it, which, instead of this being like, we would creating a whole new column that said, like is warranty replacement, or something like that. This would just be this onto the skew. It would just, you know it would be Btx, bt, there with the W. After it.
23 00:05:07.500 ⇒ 00:05:18.300 Jack Tomei: That’s so easy for us to like, filter on and include in our like total items, you know, lost or like whatever we can still account for, like how many
24 00:05:18.450 ⇒ 00:05:20.010 Jack Tomei: pumps we got rid of.
25 00:05:21.530 ⇒ 00:05:27.110 Uttam Kumaran: Yeah. So when we still, when we still or we would still remove all sales with.
26 00:05:27.990 ⇒ 00:05:38.590 Uttam Kumaran: we would have no discount. We would have no discount codes that say warranty or like whatever combination of warranty, plus whatever. Because there’s some. There’s a million different
27 00:05:38.930 ⇒ 00:05:43.030 Jack Tomei: warranty discount codes. You know that all. But it would come in as a 0
28 00:05:43.410 ⇒ 00:05:49.530 Uttam Kumaran: priced sale, anyways. so like the only thing that could get inflated is like total orders.
29 00:05:49.680 ⇒ 00:05:55.659 Jack Tomei: But it’s since our like item sale price
30 00:05:55.710 ⇒ 00:06:04.959 Jack Tomei: is linked to the skew. Even if it’s a warranty replacement right now. It’s still yeah, exactly. It still accounts for it in gross sales, because it still has like a sale like.
31 00:06:05.040 ⇒ 00:06:06.970 Uttam Kumaran: but it’ll be 0 in this case.
32 00:06:07.460 ⇒ 00:06:16.030 Jack Tomei: In this case it would, because it’d be Tai cause, then we would have like in our pricing table. We would have the skews with the warranty mark, and those would be 0 item price.
33 00:06:16.490 ⇒ 00:06:25.840 Uttam Kumaran: And then we’d have the skews without it, right? We don’t have to do any weird logic, and like the warranty discount column. Yeah, I think this is probably the most elegant thing we could do.
34 00:06:26.020 ⇒ 00:06:27.089 Jack Tomei: I agree
35 00:06:28.380 ⇒ 00:06:35.110 Uttam Kumaran: we could even just go. I don’t know like
36 00:06:35.470 ⇒ 00:06:44.400 Jack Tomei: how you deal with historical data. But we could. We could apply our like quick fix logic to that. And I could just spend more time to like, make sure. I
37 00:06:44.570 ⇒ 00:06:58.649 Jack Tomei: I would just write like a long filter statement that literally like says in. And then I just I I map it to every single type of warranty. Because, you know, like the discount code has a bunch of different ways of writing that this is a warranty.
38 00:06:58.850 ⇒ 00:07:07.959 Uttam Kumaran: Yeah, I mean, basically, I’m figuring out what all those are and and filter them all out historically. Yeah, I mean, basically for the historicals we can.
39 00:07:10.170 ⇒ 00:07:15.120 Uttam Kumaran: I mean, we would just have to filter those out. So what W. What we would do is we create a warranties table?
40 00:07:16.110 ⇒ 00:07:19.769 We create like a warranty claims table or something, and then that.
41 00:07:20.110 ⇒ 00:07:23.549 Uttam Kumaran: like it’s from historicals. And then it comes from this
42 00:07:23.560 ⇒ 00:07:25.660 Uttam Kumaran: we could filter out.
43 00:07:25.950 ⇒ 00:07:43.300 Uttam Kumaran: exactly got added
44 00:07:43.750 ⇒ 00:07:52.050 Uttam Kumaran: and then the third item. So we generally require the warrant to be purchasing the same transaction. There are cases where we let the customer order it.
45 00:07:53.330 ⇒ 00:08:01.479 Uttam Kumaran: or we award them with the free, in case, things like shipping damage. Everything is looked up and tracked manually. Okay, I mean, that seems a little bit better.
46 00:08:03.270 ⇒ 00:08:10.290 Jack Tomei: That doesn’t. What does that? So that just means they they don’t usually sell warranties on their own. They’re they’re usually tied to. The
47 00:08:10.390 ⇒ 00:08:22.130 Uttam Kumaran: basically, this question was about like, Hey the warranties aren’t tied to skews like if a customer orders multiple times like, what do you do
48 00:08:22.600 ⇒ 00:08:23.590 Uttam Kumaran: every time?
49 00:08:24.320 ⇒ 00:08:25.210 Jack Tomei: What
50 00:08:25.760 ⇒ 00:08:35.430 Uttam Kumaran: like I was like, hey? The warranties aren’t tied to a skew. So someone’s like, Hey, I ordered the skew. And I’m claiming a warranty. How do you know? And then they go and look up that person.
51 00:08:35.650 ⇒ 00:08:36.610 Jack Tomei: Yeah, okay.
52 00:08:37.039 ⇒ 00:08:54.869 Jack Tomei: so that’s kind of what we expected. Right? It’s like, it’s in the same order. And then, like, we can join on order Id or whatever, and just pick the skew. That’s kind of what my logic does. But then that misses the ones that are sold after the fact. I mean, this is where, like I kinda like.
53 00:08:55.740 ⇒ 00:08:58.489 Uttam Kumaran: I mean, what we could do is when we do our final
54 00:08:58.660 ⇒ 00:09:02.880 Uttam Kumaran: like. This is, I think, enough information for us to wrap this up one
55 00:09:02.940 ⇒ 00:09:05.620 Uttam Kumaran: one we should. We should
56 00:09:05.910 ⇒ 00:09:11.730 Uttam Kumaran: be like, you know, Cody, we found these were the biggest warranties, and this is the issue.
57 00:09:11.740 ⇒ 00:09:18.090 Uttam Kumaran: Cody’s mentioned. There’s no update from the design engineers or whatever. Let’s push, how do we push that forward?
58 00:09:19.680 ⇒ 00:09:26.509 Jack Tomei: Yeah, let’s II still am not convinced that it’s that big of an issue to be honest because they sell so many of them.
59 00:09:27.390 ⇒ 00:09:28.090 And
60 00:09:28.990 ⇒ 00:09:36.919 Jack Tomei: it’s really only an issue on these Bdx Bt pumps, where, like the claim rate is like above 10 everything else. I think the warranties actually make them money.
61 00:09:37.350 ⇒ 00:09:45.370 Uttam Kumaran: Oh, I see, I see. Okay, it’s actually profitable. So I’m I need to add, and I’m gonna do that today. I’ve just I’ve been a little late starting
62 00:09:45.620 ⇒ 00:09:57.750 Jack Tomei: but I’m gonna add some sort of way of showing revenue gained per skew versus claims. Just to highlight like, Hey, this is actually a profitable idea, for you know.
63 00:09:58.060 ⇒ 00:10:04.780 Jack Tomei: all these all these queues that are under whatever 5% claimed, or 6%, which is like 99% of them. And then
64 00:10:05.350 ⇒ 00:10:13.969 Jack Tomei: even the Bdx Bt pumps were profitable in 2022. But it was like last year when they spiked up because of, I guess these weird driver issues, or whatever. So
65 00:10:14.240 ⇒ 00:10:34.229 Uttam Kumaran: II don’t think it’s like as big of a problem as Cody thinks. To be honest, I think it’s obvious
66 00:10:34.230 ⇒ 00:10:46.400 Uttam Kumaran: if we can reduce the Btxb to the average. Yeah, like 50 grand a year back, or whatever it is. Yeah, what the profit is. So I’m I’m about to break that out.
67 00:10:47.130 ⇒ 00:10:50.939 Uttam Kumaran: I mean, I’m gonna go. Let’s just say I’m gonna go and just say.
68 00:10:51.270 ⇒ 00:10:56.959 Uttam Kumaran: let’s try to do number 2. Yeah, number 2 is definitely a good idea.
69 00:10:57.360 ⇒ 00:11:06.810 Jack Tomei: Ask him about if if there’s a way in shopify to change historicals. Like all the historical data, too, if not just, we can handle it.
70 00:11:07.100 ⇒ 00:11:12.440 Jack Tomei: But that’d be cool if he could, if he has some way to fly all the warranty sales and and shopify.
71 00:11:12.650 ⇒ 00:11:15.510 Uttam Kumaran: Okay, change the skus. That’d be that’d be awesome.
72 00:11:19.110 ⇒ 00:11:21.429 Jack Tomei: I probably wishful thinking. But who knows?
73 00:11:22.840 ⇒ 00:11:28.189 Jack Tomei: And then, yeah, the third one doesn’t really
74 00:11:28.390 ⇒ 00:11:30.060 Jack Tomei: help us too much.
75 00:11:31.060 ⇒ 00:11:37.400 Jack Tomei: but I don’t think it’s worth like spending a ton of time making this stuff perfect. I think we should just figure out kind of
76 00:11:37.990 ⇒ 00:11:41.359 Uttam Kumaran: what I was talking about the Revenue versus. Yeah.
77 00:11:45.380 ⇒ 00:11:46.110 Jack Tomei: yeah.
78 00:12:01.830 ⇒ 00:12:06.929 Jack Tomei: I got all set up with this other company, and it’s like having to learn. Like all the
79 00:12:07.480 ⇒ 00:12:09.570 Jack Tomei: they use all these like new
80 00:12:09.970 ⇒ 00:12:18.100 Uttam Kumaran: business man. They don’t have slack or anything. It’s all like pretty niche software is, you know. So just like figuring out how they’re doing everything, it’s
81 00:12:18.310 ⇒ 00:12:20.879 Jack Tomei: they have this software called front.
82 00:12:21.310 ⇒ 00:12:36.249 Jack Tomei: And then this other one called Clickup, which is like their kind of I guess it’s like their slack, but also it has. Like everything dude. I don’t know. I honestly like what they’re doing. It’s just like stuff I’ve never used before.
83 00:12:36.870 ⇒ 00:12:43.679 Uttam Kumaran: Yeah, let me know if there’s anything cool, cause I am just using the most basic thing II know.
84 00:12:43.990 ⇒ 00:12:54.129 Uttam Kumaran: but also do it sometimes it’s easy, for it’s easy for people, you know, like everyone knows. Slack zoom like that’s the thing like I don’t and also dude. I’m not in the business of like.
85 00:12:54.360 ⇒ 00:12:58.039 Uttam Kumaran: Oh, we have like perfect processes. It’s like, I can’t.
86 00:12:58.310 ⇒ 00:13:16.040 Jack Tomei: You also don’t have this. This company has like 50 full time employees. Then, like 150 contracted developers, they have like 100 clients. And it’s all custom software solutions that are like each at least 100 h of work, you know. It’s like a lot of man.
87 00:13:16.790 ⇒ 00:13:21.960 Jack Tomei: and they’ve also been around since 2,005. So it’s like they’ve had time to figure this out.
88 00:13:22.950 ⇒ 00:13:24.260 Uttam Kumaran: Yeah.
89 00:13:25.600 ⇒ 00:13:35.800 Uttam Kumaran: But yeah, I think the way you’re doing it in github, like with just the project stuff. And Github, it totally works. And then, you know, I mean, I’m gonna start to have that link to slack better. And then have those have like
90 00:13:36.040 ⇒ 00:13:37.730 Uttam Kumaran: more formats and like
91 00:13:37.870 ⇒ 00:13:53.250 Uttam Kumaran: status.
92 00:13:53.350 ⇒ 00:13:54.750 Uttam Kumaran: So basically
93 00:13:54.930 ⇒ 00:14:07.250 Uttam Kumaran: it, everybody can keep their stuff updated. And then it’s like, if anything’s blocked, it automatically gets surface. And it makes us make sure we’re not talking about just like where the tickets are. I mean, you like, I’m kind of thinking, Mcguire. But like.
94 00:14:07.880 ⇒ 00:14:24.960 Uttam Kumaran: yeah, regardless, I don’t know
95 00:14:25.220 ⇒ 00:14:46.479 Jack Tomei: and see where tickets are just cause it’s just kind of the way II agree. That’s ideal state is like, II for me, I’m like, I’m like, kinda like more. I do things like reductionist like, I’ll just keep removing process until stuff breaks. And then I’m like, okay, we need to do that meeting cause a lot of people. They go the other way like
96 00:14:46.670 ⇒ 00:14:53.179 Uttam Kumaran: weekly meeting, so we’d need it. I’m like, Well, dude, if you don’t need to talk about, and I don’t need to talk about then, like.
97 00:14:53.260 ⇒ 00:15:01.050 Jack Tomei: I agree, people just stop showing up or like whatever it is. I don’t know. I don’t wanna take people’s time like people can go hang out outside or whatever.
98 00:15:01.840 ⇒ 00:15:14.240 Jack Tomei: Okay. So I’m gonna I’m gonna do this. This should only be like less than an hour of work, I think, to to kind of wrap this stuff up in terms of just showing
99 00:15:14.530 ⇒ 00:15:24.560 Jack Tomei: sale like profits from sales per skew, and then also cost of replace goods per skew, and then showing some like net number
100 00:15:25.290 ⇒ 00:15:33.000 Jack Tomei: and then we can, I guess, just include sort of the some of the data that
101 00:15:33.390 ⇒ 00:15:42.829 Jack Tomei: cody gave me in the document where it’s a little like breaking out. Oh, why are these Bpx above 10, like Cody says half of them are driver issues. Blah, blah, blah.
102 00:15:42.970 ⇒ 00:15:50.860 Uttam Kumaran: yeah, that’s perfect. And then I’m just gonna I’m gonna I’m gonna write an email back to Cody saying the solution of the 0 price queues
103 00:15:51.180 ⇒ 00:15:54.199 Uttam Kumaran: is perfect.
104 00:15:54.250 ⇒ 00:15:57.059 Jack Tomei: is there any way to backfill historical data for that?
105 00:15:57.340 ⇒ 00:16:00.050 Any chance? Yeah.
106 00:16:14.700 ⇒ 00:16:16.200 Jack Tomei: I started a
107 00:16:16.530 ⇒ 00:16:20.300 Uttam Kumaran: 75 hard on Saturday.
108 00:16:20.880 ⇒ 00:16:25.670 Jack Tomei: It’s not even like it’s not even like nearest resolution. It’s March.
109 00:16:25.780 ⇒ 00:16:30.990 Jack Tomei: I know. I just feel like I just need a little bit like better.
110 00:16:31.460 ⇒ 00:16:39.880 Uttam Kumaran: I want to keep myself accountable to working out every day. I’ve been not drinking for a while, so it’s not a big kind of change.
111 00:16:41.920 ⇒ 00:17:09.040 Jack Tomei: So yeah, it’s pretty good. The the the hardest part, I think, is just the the double workouts every day, because I have a tendency to like like to work out really hard. And so I’m realizing like, I gotta kind of like, take it easy like. Yesterday I went on a run in the morning, and then I went to this gym I just joined, and I squatted like super heavy, and my fucking legs yoga today, and that’s gonna count as a workout, and like walk my dogs for an hour. That’s gonna
112 00:17:09.329 ⇒ 00:17:34.760 Jack Tomei: but yeah, dude, I’m excited to see kind of what I look like after. I’m I’m in like decent shape, and I’m in the worst shape that I’ve been in, and so long and like I keep telling myself like I want to get back in the best shape of my life, and it’s hard to do that, unless, like for me, at least, I have to like set goals, you know. So like 75 hard. It’s just like a nice little challenge for me. It’s just like I need like consistency in my days, which
113 00:17:34.780 ⇒ 00:17:41.460 Uttam Kumaran: have a lot more of I don’t really like going to the gym, I get pretty bored like. So II listen to podcasts, and I
114 00:17:41.520 ⇒ 00:17:47.349 Uttam Kumaran: like watch Youtube, but to kind of pass the time. I mean, I got lifted stuff. I like the Sauna a lot.
115 00:17:47.390 ⇒ 00:17:56.320 Jack Tomei: I don’t know.
116 00:17:56.460 ⇒ 00:18:07.110 Jack Tomei: II stopped. Yeah, I don’t lift like I don’t know. The only thing I really lift heavy is, I just like to spend time on the spot rack.
117 00:18:07.440 ⇒ 00:18:18.189 Jack Tomei: I can squat, I can bench, press like I just. It’s like my own little area like II don’t. I don’t love like crowded gyms, or I’m like waiting for weights and like standing over. You know what I mean
118 00:18:18.490 ⇒ 00:18:25.420 Jack Tomei: But I found a cool spot really close by. It’s like a 3 min drive, and it’s just nice to get out of my house, to be honest.
119 00:18:27.550 ⇒ 00:18:30.459 Jack Tomei: So yeah, we’ll see. I’m taking progress. Picks every day
120 00:18:30.590 ⇒ 00:18:33.930 Uttam Kumaran: on day 3.
121 00:18:34.050 ⇒ 00:18:34.780 Jack Tomei: And
122 00:18:36.440 ⇒ 00:18:37.500 Uttam Kumaran: hey, Kim.
123 00:18:44.320 ⇒ 00:18:50.449 Uttam Kumaran: hey, how are you guys? Sorry about that? I’m sorry if you were just listening to me rambling.
124 00:18:50.630 ⇒ 00:18:53.640 kimtodaro: Oh, I wasn’t
125 00:18:53.730 ⇒ 00:18:57.430 Jack Tomei: invite like 5 min ago.
126 00:18:58.180 ⇒ 00:19:05.039 kimtodaro: so I got your email about a bunch of discount codes and like what the meaning was. So I’m just gonna open up real quick.
127 00:19:05.260 ⇒ 00:19:13.689 kimtodaro: perfect. I’m so sorry to get back to you. I like mentally got back to you, and I didn’t. No, no, that’s totally fine. Yeah, no, that’s totally fine.
128 00:19:14.850 ⇒ 00:19:15.690 kimtodaro: Okay.
129 00:19:23.290 ⇒ 00:19:30.530 kimtodaro: So the first part about discount codes. So basically, there’s 3 ways discount codes or codes are made.
130 00:19:33.000 ⇒ 00:19:35.429 kimtodaro: We either
131 00:19:35.970 ⇒ 00:19:39.649 kimtodaro: have them like on a campaign basis. And it’s usually
132 00:19:39.750 ⇒ 00:19:41.659 kimtodaro: now it’s just like
133 00:19:41.970 ⇒ 00:19:50.199 kimtodaro: 5% off your order or 10% off your order around Black Friday. It’s like 20% off and I make those and
134 00:19:50.270 ⇒ 00:19:52.389 kimtodaro: shopify
135 00:19:52.830 ⇒ 00:20:03.190 kimtodaro: and they’re on. It’s like your order. It’s not based off of products exactly welcome 10, though I don’t know if this matters
136 00:20:03.520 ⇒ 00:20:10.259 kimtodaro: we never used to let people use it on heat pumps, cause we we couldn’t give that big of a discount.
137 00:20:11.990 ⇒ 00:20:19.910 Jack Tomei: Yeah, I’ve noticed there’s a there’s a lot fewer welcome towns. But but is it? Is it available to everyone all the time like?
138 00:20:20.310 ⇒ 00:20:24.030 kimtodaro: So everybody’s first order, you can do welcome 5.
139 00:20:24.140 ⇒ 00:20:24.870 Jack Tomei: Okay.
140 00:20:27.110 ⇒ 00:20:31.399 Jack Tomei: we’re trying to figure out like, what’s the impact of of doing this stuff.
141 00:20:31.550 ⇒ 00:20:51.939 kimtodaro: I’m just having a hard time like. do you have like a spreadsheet that, like I can like fill in of like? Is, is that helpful or like going whatever’s helpful, helpful to you? I don’t know. I don’t. I don’t. So I’m I want to say I kinda just wanna have a conversation like I. I’m I’m a little. I’m trying to show like impact of discount codes right? But it’s like
142 00:20:52.250 ⇒ 00:21:05.009 Jack Tomei: 90 plus percent of the discount goes used are those welcome. 5 discount goes, and, like most customers, are like one time only customers. They come. They buy a pump like we usually don’t see them again.
143 00:21:05.020 ⇒ 00:21:13.639 So it’s hard for me to say like, Well, if we didn’t have welcome 5, this is what would happen. Cause like we’ve we’ve always had it right, and like everyone tends to use it.
144 00:21:13.700 ⇒ 00:21:16.060 kimtodaro: And we even used to have welcome 20.
145 00:21:16.380 ⇒ 00:21:22.249 Jack Tomei: Yeah, I’ve saw Seal saw those back in the day. But I’m I’m more looking at like kind of last year, and like last 2 years.
146 00:21:22.550 ⇒ 00:21:26.449 kimtodaro: But I’m just curious, like from your standpoint. Like
147 00:21:26.860 ⇒ 00:21:28.700 Jack Tomei: would it be worth
148 00:21:30.060 ⇒ 00:21:50.890 Jack Tomei: like you have any like? I don’t know. Just like knowledge yourself on like what this business used to look like when we didn’t do that? Or was there a time when we didn’t do that, or like? Should we run for like 5 sometime like to some people and see how that changes things like W. Or do you not think that this is a big enough thing to really dive into?
149 00:21:50.920 ⇒ 00:22:00.449 kimtodaro: I think it’s big enough? And II don’t know if Ben told you to do this recently, but I had a conversation with Chuck and last week, and he said
150 00:22:01.080 ⇒ 00:22:03.039 kimtodaro: that he talked to ben
151 00:22:03.470 ⇒ 00:22:11.399 kimtodaro: about like not doing such a big discount. Or maybe we do like a smaller fixed discount. If they spend over $500.
152 00:22:12.090 ⇒ 00:22:24.350 kimtodaro: we never really like, you know, we did it mostly to collect like emails and texts way back when. And II just kind of was doing like what I was told, and then, little by little, was like, Okay, 20 too much. Let’s give 10.
153 00:22:24.350 ⇒ 00:22:44.619 kimtodaro: 10% is too much. I think there’s a cohort of people that need a pump and they’re gonna buy it. Anyway. I don’t know how to like define that. I tend to agree with that. Maybe people that like II mean for me personally just. And this is obviously not the best way to do analysis, but like if I needed a pump. And I found your website.
154 00:22:45.000 ⇒ 00:22:59.359 kimtodaro: And I saw 5%. It’s like, that’s not that big of a discount to like, get me over the line. That’s you know what I mean? I don’t know right, but it could be like a few $100 depending what? You’re buying something like a few 1,000 bucks.
155 00:22:59.590 ⇒ 00:23:06.430 kimtodaro: Yeah, so he pump could be as much as 4 grand. So 5 off that. And yeah. And to be honest with you
156 00:23:06.860 ⇒ 00:23:13.150 kimtodaro: competitors like, I haven’t done this competitive analysis in a while, but. like Leslie’s
157 00:23:13.660 ⇒ 00:23:22.829 Jack Tomei: doesn’t really even give you anything. So then do our pumps come in at like the low. That’s another thing I wanted to kind of look into is like the competition like.
158 00:23:23.190 ⇒ 00:23:45.300 kimtodaro: because you can put you kind of buy these pumps anywhere, right? The black and decker stuff, or there’s like certified retailer. No, we are the only ones that carry them.
159 00:23:46.020 ⇒ 00:23:51.439 kimtodaro: Like. Think about it from like November till, like almost like beginning of February.
160 00:23:51.450 ⇒ 00:23:55.580 kimtodaro: A lot of people like we were giving such big discounts because
161 00:23:55.810 ⇒ 00:24:01.640 kimtodaro: that’s what Dan told me do to do like last year. But
162 00:24:01.920 ⇒ 00:24:30.469 kimtodaro: business is slow around that time. So we really like leverage like the holiday season, and like Black Friday, bigger, discount because a lot of people don’t need them. A lot of people we’re like, oh, this is a good deal. I don’t even need this. He pump right now. I’m just gonna put in my garage until spring comes around. But now it’s different, because now it’s people down to buy a pump. Regard right? Maybe a little more like they’re a little less affected by the discount. Yeah, exactly. And we just re, we just phrase the prices last week on the variable speed pumps.
163 00:24:30.710 ⇒ 00:24:33.390 Jack Tomei: Okay. so is it worth
164 00:24:33.550 ⇒ 00:24:47.189 Jack Tomei: like trying a season or a month, maybe, where we get rid of the welcome 5. Or I, I’m curious. I don’t wanna like, I don’t wanna make too big of a change where it’s like, Oh, shit like, no one’s buying pumps anymore. So
165 00:24:47.240 ⇒ 00:24:54.669 Uttam Kumaran: yeah, we we basically wanted to. Yeah, we basically wanted to see what are some good tests. We can run on 2 ways, both like
166 00:24:54.750 ⇒ 00:24:58.280 Uttam Kumaran: modify the discounts. But second, also, like a pricing test.
167 00:24:58.480 ⇒ 00:25:06.110 Uttam Kumaran: Basically to say, like, okay, we took a cohort of either total number orders. Total number customers move the pricing around just to understand
168 00:25:06.160 ⇒ 00:25:19.419 Jack Tomei: like elasticity. Just understand, like, what’s the how sensitive people are to like increase the price? Or if we got rid of the discounts and like ideally having some control group, or like everything, stays the same how it is right now and then some
169 00:25:19.650 ⇒ 00:25:27.369 Jack Tomei: sub population of people that access our website where it’s like 20. I don’t. I don’t know how many we would figure that out, but like that we
170 00:25:27.730 ⇒ 00:25:32.520 kimtodaro: increase the price a little for, or we get rid of all the discounts for
171 00:25:32.700 ⇒ 00:25:35.790 kimtodaro: I think it’s worth a try, did?
172 00:25:35.830 ⇒ 00:26:03.619 Uttam Kumaran: Ca, obviously not. Everyone’s like a great communicator here. Did. Is this something Ben? Test you with? Or is this like an idea from you guys, yeah, like, Ben’s aware, we basically, we’re kind of going through a couple of different things. We did a lot of work on shipping. We’re doing a lot of work on, like we just did a bunch of work on warranties. We’re kind of taking discounts before moving on to like some sort of like some stuff on the customer side. Basically, we’re just like, let’s just do a deep dive into like
173 00:26:03.620 ⇒ 00:26:18.260 Uttam Kumaran: how discounts are affecting the business which we we pretty much know from a cost perspective. But understanding, like I can say, this is how many purchases were bought with a discount. This is how much money we lost from that you’re right. I can give like totals, but I can’t give like a.
174 00:26:18.340 ⇒ 00:26:21.439 Jack Tomei: This is how it affects the business without knowing
175 00:26:21.660 ⇒ 00:26:26.159 kimtodaro: the flip side of the coin, kinda like what the business would look like without discount. Right? Like I kinda
176 00:26:26.180 ⇒ 00:26:35.159 Jack Tomei: I have a hard time, like kind of claiming anything that’s true by just saying like, because it’s always there’s always been discount. So it’s it’s just tough for me to like know?
177 00:26:35.420 ⇒ 00:26:41.399 kimtodaro: I know I mean, it would be. It would be interesting to see if, like you, you tested for, like
178 00:26:41.550 ⇒ 00:26:54.190 Jack Tomei: you know, a certain like a percentage of our traffic. Right? And we’re like, maybe we’re only on certain skews, too, maybe like on the on the whatever you think, I don’t know the the the in ground pumps, or whatever it is.
179 00:26:54.650 ⇒ 00:27:06.410 kimtodaro: Yeah, I mean, that’s like. I see the same thing like a lot of people just buy a pump, or they don’t. and then they don’t buy again, or they buy like a pump. There’s not a lot we don’t have a lot of skews, or they buy a pump and a brush.
180 00:27:06.480 ⇒ 00:27:12.939 kimtodaro: and then they’re like done with us. You know what I mean until 4 years later, when something else breaks and they like their you know what I mean.
181 00:27:13.420 ⇒ 00:27:40.729 kimtodaro: so if the idea of like the discount is like to get people to like be repeat, I think the idea of the discounts just kind of kind of get people in the door right? But like it is. But like we talked about, there’s people especially who are coming off the Google ads, who are like specifically typing in like best pool pumps. Or maybe they’ve seen our black and Decker pool pumps on Facebook. And they’re like, Oh, my pool broke. Let me type that in. And let me buy it right now.
182 00:27:40.890 ⇒ 00:27:45.570 kimtodaro: yeah, I feel like the people who are most in need are are the ones to maybe, you know.
183 00:27:45.670 ⇒ 00:28:04.829 Jack Tomei: pay full price and don’t care about discounts. Obviously, yeah, definitely, like, not people that are like on the email. Let like, if these are these discounts, like promoted like through like, Hey, we have a welcome 5 discount email and text for like the first 10 days or so. Okay, so we would have to make sure that we
184 00:28:04.960 ⇒ 00:28:26.400 Jack Tomei: we don’t run this on anyone that’s like in our database because they would get those emails. And then they go to the site and there’d be no discount available. So just maybe yeah, to like new customers, and we can kind of I don’t know. Run it for a month. I don’t know exactly like the logistics of doing this. I think maybe you would know more about that. Is that something that’s possible, though, to run it on a subset of people?
185 00:28:27.030 ⇒ 00:28:34.849 kimtodaro: that’s a good question. I don’t know. Like. if you guys, I don’t know if I can do that with like attentive.
186 00:28:35.140 ⇒ 00:28:45.120 kimtodaro: I have a couple of things that we could try on the shopify site. I was just gonna we really were like, have we done it for? If not, I have a couple of
187 00:28:45.190 ⇒ 00:28:50.759 Uttam Kumaran: vendors that maybe we can just find the cheapest one where we can run it for like
188 00:28:51.270 ⇒ 00:29:07.640 Uttam Kumaran: like 14 days, or something where we like in Jack, you love, let us know like what you think like a good minimum subset of people are. But I have a couple of options. Maybe, Jack, I can just send it to you and couple of them that make it really easy to run AV test on shopify.
189 00:29:08.380 ⇒ 00:29:12.520 Jack Tomei: And yeah, maybe we do it sooner rather than like cause. I would hate to like
190 00:29:12.700 ⇒ 00:29:25.730 Jack Tomei: run this in like May when it says everything’s supposed to be spiking and like business. You know what I mean. So but I also want enough data points to like, be confident of whatever effect happens. So I don’t really want to run it and like
191 00:29:25.780 ⇒ 00:29:27.960 Jack Tomei: winter so much. But
192 00:29:28.200 ⇒ 00:29:51.740 Jack Tomei: you know, and I want this to be like an open conversation with everyone, so that it’s not like my fault or your fault. You know what I mean like, I want us all agree like, Oh, this sounds like something like I think they’re gonna be. I think I talked to Ben about. He’s like, let’s run the test. And I basically was like, Look, I think March, right now is a perfect time. And Kim, he also mentioned that there’s like shipping delays. And like
193 00:29:51.830 ⇒ 00:29:57.010 Uttam Kumaran: he was like, we’re moving, pricing a little bit. And I was like, let’s just if we could just run these tests sometime this month.
194 00:29:57.410 ⇒ 00:30:07.130 Uttam Kumaran: So maybe we’ll just put together a couple of like options. We have try to do it really cheap. This test is just to get rid of the welcome 5 discount because it’s the most used.
195 00:30:07.250 ⇒ 00:30:18.049 Jack Tomei: It’s not a huge number. It’s not like we’re getting rid of some 20% promotion or something. And just see, like, okay, during a month. Does this look like?
196 00:30:18.840 ⇒ 00:30:21.749 Jack Tomei: The yeah. The the one other hard thing is like.
197 00:30:23.050 ⇒ 00:30:43.950 Uttam Kumaran: I guess we would compare to last year, plus some growth amount that should be like our projected sales. But since we’re getting into summer right now, like every month is gonna be so different than the previous month. So we’re gonna have to do based on you have to do based on last year. But I wanna run 2 tests. Right? I wanna run pricing on the actual products. And then I wanna run
198 00:30:44.210 ⇒ 00:30:45.530 Uttam Kumaran: removing
199 00:30:45.660 ⇒ 00:31:03.889 Uttam Kumaran: the discounts right? Because that’s the 2 lovers. And if we I the the best way to do it would be to run it, not on everyone that way. We don’t necessarily have to compare it to last year we can compare 2 groups. So let me get that to you.
200 00:31:04.450 ⇒ 00:31:21.060 Uttam Kumaran: Okay, so then, it’s like of 500 people that access the web page that didn’t have it. This is how many purchase of you know, compared to the people that access that did have the discount. Whatever it is, I can check with Mike, who runs Google. I don’t think he has any sale messaging in his ads.
201 00:31:21.580 ⇒ 00:31:29.319 Uttam Kumaran: Welcome 5. And I might have like one. But most of my ads actually don’t have discount. It’s more like value based.
202 00:31:29.360 ⇒ 00:31:30.370 Jack Tomei: Okay.
203 00:31:30.560 ⇒ 00:31:38.149 Jack Tomei: that way, like, we don’t have to necessarily monitor where the traffic comes from. As long as there are new new people, right?
204 00:31:38.430 ⇒ 00:31:39.220 Jack Tomei: Okay?
205 00:31:39.410 ⇒ 00:31:50.300 kimtodaro: Right? And I think there are some settings with Clavia. Well, it’s really through attentive. I have to see. But I don’t know if this matters with the application you choose. But there might be a sending where it’s like.
206 00:31:50.790 ⇒ 00:32:07.180 kimtodaro: no, there’s not with just a percentage of people, I just know, like sometimes you can say like don’t show to people who already give us their email. You know what I mean, they but it’s kind of limited.
207 00:32:07.390 ⇒ 00:32:11.410 Jack Tomei: build something a little custom for us, I think. What we need
208 00:32:11.880 ⇒ 00:32:13.190 kimtodaro: sounds good.
209 00:32:13.250 ⇒ 00:32:58.710 kimtodaro: yeah. The random ones are coming from our review service. If they leave us. A picture Junip all automatically. And I gotta see what that percentages cause. I might have to take that down a bit. Junip automatically gives people like custom code that’s unique to them.
210 00:32:59.040 ⇒ 00:33:04.589 Jack Tomei: Okay? So it doesn’t apply to the previous. It doesn’t apply apply to the original applies to like if they come back.
211 00:33:05.280 ⇒ 00:33:06.450 kimtodaro: Exactly.
212 00:33:07.610 ⇒ 00:33:18.839 Jack Tomei: Yeah, then the other one. Th, that was less fewer of them. The there’s like over a thousand, though, of these Vpc guys. And I think they’re pretty significant discounts. But they’re all different, not like different amounts.
213 00:33:19.110 ⇒ 00:33:21.649 kimtodaro: It’s so funny because I’m looking in
214 00:33:21.950 ⇒ 00:33:25.480 kimtodaro: when I type in Vpc. And shopify. I don’t see anything come up.
215 00:33:26.560 ⇒ 00:33:31.340 Jack Tomei: Could it be like some sort of like contractors like people that like are?
216 00:33:31.390 ⇒ 00:33:38.750 kimtodaro: No, I don’t. I see. Jp. that might be Junip. That would be. That would probably be June up.
217 00:33:40.010 ⇒ 00:33:40.800 kimtodaro: think?
218 00:33:41.280 ⇒ 00:33:53.519 kimtodaro: Oh, you know what I think. I know it. I think I know. I think Jp. Dash is June up, actually. And I think the loyalty program is the 6 CC. Is the random numbers.
219 00:34:12.239 ⇒ 00:34:15.389 Uttam Kumaran: I could ask a chalk, maybe.
220 00:34:16.460 ⇒ 00:34:18.489 kimtodaro: If
221 00:34:19.620 ⇒ 00:34:30.400 kimtodaro: can you like? Give me a specific example. Yeah, let me let me let me query one, and I’ll show you like exactly who the person is, and or whatever
222 00:34:30.510 ⇒ 00:34:33.170 kimtodaro: Bp.
223 00:34:56.219 ⇒ 00:35:01.429 Jack Tomei: one sec. My! All my stuff got reset. Can you send me our snowflake identifier? Udo?
224 00:35:01.640 ⇒ 00:35:02.780 Uttam Kumaran: Yeah.
225 00:35:05.290 ⇒ 00:35:12.969 Jack Tomei: I added a new gmail this morning for my, that other thing, and my my chrome is crazy. Now, it’s like.
226 00:35:13.360 ⇒ 00:35:16.459 Uttam Kumaran: yeah, let me I’m just gonna send it to you on zoom
227 00:35:19.750 ⇒ 00:35:20.600 Jack Tomei: perfect.
228 00:35:32.940 ⇒ 00:35:38.249 kimtodaro: Well, I have. You guys on the phone. Have you ever heard of the app? Re, buy on shopify?
229 00:35:39.550 ⇒ 00:35:50.510 kimtodaro: I haven’t heard of Rebu. Is it like a subscription thing? It’s like an upsell but the differences between what we already have, which is
230 00:35:50.750 ⇒ 00:36:03.220 kimtodaro: something been put on the site like 3 years ago. It’s super ugly, is that it provides like upselling you could cause. It’s very customizable to. I think it’s 100 bucks a month, and it also offers upsells
231 00:36:03.400 ⇒ 00:36:19.139 kimtodaro: like the journey, so it’ll have like an upsell like on the product page. It’ll have an upsell on the cart page. It’ll have an upsell on the order conference page. So like post purchase upsells so like we could offer someone if they like, buy a variable speed pump
232 00:36:19.220 ⇒ 00:36:33.820 kimtodaro: and they don’t buy the automation adapter that goes with it. Instead of me emailing. After which, right now, I have a flow that, does it? We could, you know, offer it during that experience. I can. I can ask some friends. I have some friends
233 00:36:33.970 ⇒ 00:36:40.550 Uttam Kumaran: that probably use something like Revai can just ask, like, have used revy or something similar. What’s the best one?
234 00:36:41.210 ⇒ 00:36:57.920 kimtodaro: Yeah. If it’s easy for you to do? There’s like a 21 day trial, too. I might just sign up for. But before before I end up making Noz do some coding on the site that would be probably helpful to a couple of friends right now
235 00:36:59.780 ⇒ 00:37:04.849 Uttam Kumaran: and then. Let me let me actually send you right now what I’m thinking for this. These ab tests.
236 00:37:04.960 ⇒ 00:37:13.170 kimtodaro: Alright, I’m taking forever to get on to snuff like my all my shake out reset I mean, I mean, I know how many calls. So I’m not in any hurry.
237 00:37:13.230 ⇒ 00:37:20.350 Uttam Kumaran: Okay, too. Yeah, Kim. I just sent it on the chat. It’s called this Intel gems.
238 00:37:20.360 ⇒ 00:37:26.200 Uttam Kumaran: I don’t know. I just follow some people on Twitter that we’re like, this is been amazing. Okay?
239 00:37:26.780 ⇒ 00:37:32.940 Uttam Kumaran: And you can ab test like a ton of different stuff. And the pricing is pretty fair.
240 00:37:33.280 ⇒ 00:37:37.230 Uttam Kumaran: I was thinking about trying these guys.
241 00:37:38.020 ⇒ 00:37:40.369 Uttam Kumaran: For the Ab test.
242 00:37:42.840 ⇒ 00:37:46.950 kimtodaro: Alright cool. Let me check that out. Yeah. I mean
243 00:37:52.340 ⇒ 00:37:54.379 kimtodaro: Laura Geller. I know them.
244 00:37:57.150 ⇒ 00:38:01.669 kimtodaro: Yeah, I mean, we we had like an AV testing. I wasn’t really involved in it, and I don’t think they like
245 00:38:02.090 ⇒ 00:38:12.739 kimtodaro: help or helpful at all agency for a little bit. And just like from like the emails I would see like there’d be like, Oh, we’re gonna change the placement of.
246 00:38:13.280 ⇒ 00:38:18.600 kimtodaro: I don’t know the placement of like the the checkout button, or whatever, and like nothing
247 00:38:20.030 ⇒ 00:38:37.769 Uttam Kumaran: super, you know, interesting or helpful, in my opinion. Yeah, I mean again, I think they’re probably it’s like, it’s a lot of work just to do like small things. But basically, this is, I think, enough where it’s like, Hey, we can get to the answer. And it’s this guy’s cost like a couple of 100 bucks a month.
248 00:38:39.220 ⇒ 00:38:43.060 Uttam Kumaran: They’re always yelling. I’m like, last year Dan was like.
249 00:38:43.330 ⇒ 00:38:48.700 kimtodaro: where’s the promo this weekend? What? What kind of discount are we offering? And I’m like me and Ben try to like?
250 00:38:48.850 ⇒ 00:38:54.720 kimtodaro: Keep it a little tighter. You’re all about profitability. So
251 00:38:55.210 ⇒ 00:39:03.489 Uttam Kumaran: I get it like, yeah, I mean it. It makes sense. II think it’s basically yeah. I mean. Honestly, I’m just trying to. I think Dan is like.
252 00:39:03.570 ⇒ 00:39:15.059 Uttam Kumaran: pretty much you have the data we can. So I basically want to show like, Hey, here’s who our customers are. Here’s how discounts or pricing affects them. And that way we can kind of like, put it to rest some way and then be like, let’s go focus on
253 00:39:15.950 ⇒ 00:39:17.179 Uttam Kumaran: whatever else.
254 00:39:17.300 ⇒ 00:39:24.669 kimtodaro: Another thing we can do for like email captures is instead of like, if let’s say, this does work during the season.
255 00:39:24.840 ⇒ 00:39:27.389 kimtodaro: The fact that we offer free shipping
256 00:39:27.510 ⇒ 00:39:28.680 Uttam Kumaran: already. Yeah.
257 00:39:29.180 ⇒ 00:39:33.450 kimtodaro: it’s something that we could just kind of tout on on the sign up units, too.
258 00:39:33.580 ⇒ 00:39:34.889 Uttam Kumaran: Oh, okay.
259 00:39:35.000 ⇒ 00:39:40.680 kimtodaro: So instead of offer, if it doesn’t, let’s say it does work, and we don’t have to offer, you know, 5 discount
260 00:39:42.120 ⇒ 00:39:47.699 Uttam Kumaran: that could always be replaced with already free shipping.
261 00:39:47.740 ⇒ 00:39:50.800 Uttam Kumaran: I don’t feel like we don’t really push that a ton.
262 00:39:51.330 ⇒ 00:40:01.429 kimtodaro: There’s only 2 States I that we don’t have free shipping to for one single single single product, and that’s the heat pump to Washington State and Oregon.
263 00:40:01.610 ⇒ 00:40:14.629 Uttam Kumaran: For for some reason it costs us a lot more money to ship the freight the freight. Yeah, it’s that’s the furthest. It’s like pretty much the furthest zone for them, having, like the heaviest product. It’s like.
264 00:40:14.870 ⇒ 00:40:17.610 Uttam Kumaran: it’s like, so expensive to shift.
265 00:40:18.200 ⇒ 00:40:33.909 kimtodaro: Okay? So it looks like there, there are no Vpc coupons in shopify. They must be coming from. They’re in our all orders table. So they must be coming from Amazon. Does that make any sense?
266 00:40:33.910 ⇒ 00:40:50.199 Jack Tomei: So I’m gonna figure out vendors, that’s kind of the right letters. I’m figuring out what the orders are. II can give. You see, the thing is like, all the emails are just messed up weird Amazon emails.
267 00:40:51.500 ⇒ 00:40:55.940 Uttam Kumaran: is a self service, promotion.
268 00:40:58.580 ⇒ 00:40:59.590 a
269 00:41:00.670 ⇒ 00:41:04.710 Uttam Kumaran: it’s all. But it’s all platform fulfilled orders, too. If that
270 00:41:04.850 ⇒ 00:41:06.030 Jack Tomei: means anything.
271 00:41:06.420 ⇒ 00:41:09.489 Uttam Kumaran: That’s that’s that’s us. So
272 00:41:10.400 ⇒ 00:41:13.199 Uttam Kumaran: yeah, that’s on Amazon fulfill. So that’s like we’re shipping it
273 00:41:14.870 ⇒ 00:41:20.740 Uttam Kumaran: seller fulfilled as Amazon. And there’s like Amazon, there’s afs. And then there’s like
274 00:41:21.220 ⇒ 00:41:24.789 Uttam Kumaran: platform fulfill. Maybe then that platform is them. Yeah.
275 00:41:28.310 ⇒ 00:41:31.870 Jack Tomei: Okay, so so we’re not in charge of any Amazon discounts.
276 00:41:32.510 ⇒ 00:41:35.670 kimtodaro: I’m asking customer service right now.
277 00:41:37.780 ⇒ 00:41:42.210 kimtodaro: He might have some more clarity there and then.
278 00:41:42.580 ⇒ 00:41:48.680 Jack Tomei: and they keep talking about how they want to be a shopify like. So all that stuff we just talked about about running these tests, or like
279 00:41:49.680 ⇒ 00:42:00.830 Jack Tomei: changing any pricing like. Would that also apply to Amazon? Or how how does I wasn’t really thinking about that? I’m probably guessing not but I could be wrong. Okay.
280 00:42:01.370 ⇒ 00:42:07.739 Jack Tomei: so Amazon is kind of its own beast, like we don’t really have as much and I have to
281 00:42:08.050 ⇒ 00:42:18.209 kimtodaro: like the last top like. I don’t think we do as much business on Amazon as we do through our direct consumer. It’s like the small stuff’s really heavy there, like the brushes and cover pumps.
282 00:42:18.340 ⇒ 00:42:20.620 Jack Tomei: But it’s not like money.
283 00:42:20.920 ⇒ 00:42:26.579 kimtodaro: Yeah, but the ticketed the higher ticketed items. I’m pretty sure we sell more on our site.
284 00:42:26.690 ⇒ 00:42:27.550 Jack Tomei: Okay.
285 00:42:28.090 ⇒ 00:42:39.159 kimtodaro: kind of makes sense. I guess people are like, Oh, do I like, wanna buy a pool pump on Amazon? I don’t know. Yeah, I guess they trust the like small items more. Maybe
286 00:42:40.570 ⇒ 00:42:49.680 Jack Tomei: I could also do like a quick analysis on what those numbers are. cause it’s definitely pretty significant volume. But if it’s all small items that would make sense.
287 00:42:51.850 ⇒ 00:42:58.369 kimtodaro: Yeah, I used to have a I used to have it integrated with. This thing Dan likes. It’s called blue dot I/O.
288 00:42:58.450 ⇒ 00:43:08.210 Uttam Kumaran: I feel like we should probably just get rid of it, because it’s just like redundant, based off of all the other reporting we have. That’s the plan is to get rid of it.
289 00:43:08.710 ⇒ 00:43:18.819 kimtodaro: And recently, for some reason, I have to. I have to have someone else fix it the integration with Amazon broke, or something changed. But as of like, last month.
290 00:43:19.070 ⇒ 00:43:23.709 kimtodaro: yeah, it was like pretty significant stuff.
291 00:43:23.970 ⇒ 00:43:31.710 Uttam Kumaran: yeah, we’re reporting on all the Amazon and the Walmart stuff and the
292 00:43:32.370 ⇒ 00:43:33.810 Uttam Kumaran: shopify stuff.
293 00:43:34.210 ⇒ 00:43:45.479 Uttam Kumaran: Do I have access to all of that within my dashboard? Yeah, and we can. We can send you. I can send you those links again. I can even send it to you now, but you should be able to see all that, I think.
294 00:43:46.840 ⇒ 00:43:54.259 Jack Tomei: Do we have a dashboard that breaks into channels, breaks into Amazon and shopify? That would be helpful. I feel like.
295 00:43:58.930 ⇒ 00:44:13.820 Jack Tomei: okay, cool. So it kinda sounds like we know what we wanna do. next steps is that for like who Domini to send over sort of an idea of like what products
296 00:44:14.310 ⇒ 00:44:29.620 Uttam Kumaran: we want to get rid of? Or should we just get rid of the welcome? 5 discount? I think, like I think we should come up with 2 we should come up with a few tests. So a couple of things. One I want to maybe just send a note to Dan and Ben on
297 00:44:29.680 ⇒ 00:44:54.050 Uttam Kumaran: like where we’re at with the discount stuff and then say, Okay, in order for us to really close this out, we want to try to run like we wanna first run like a removal of welcome 5 on a coorded users that I think we’ll decide hopefully this week on what tool to use. And then, second, I think it’d be also great. While we’re in this mode to test something on the pricing side, Jack, we raise something
298 00:44:54.310 ⇒ 00:45:07.219 Uttam Kumaran: like a a pricing up for certain coer users. We can decide what product, or 10, or just or like down by 5, almost to like mimic the welcome. I don’t know something like, see if we get a ton more volume.
299 00:45:07.250 ⇒ 00:45:11.850 Uttam Kumaran: No, I don’t know anything, I think in in order to inform that like
300 00:45:12.240 ⇒ 00:45:18.109 Jack Tomei: is, there’s no competitor, just like I guess there’s not, Kim was saying. We’re the only ones that sell this thing
301 00:45:18.270 ⇒ 00:45:33.920 kimtodaro: only other way. You’re gonna get a black pool pump is if idealer like a brick and mortar guy buys them right now, we don’t really have any resellers selling them because we make them.
302 00:45:34.730 ⇒ 00:45:44.019 kimtodaro: Oh, what that is so black. And Decker is not its own company that like, we’re just licensing the name. Yeah. Okay.
303 00:45:44.460 ⇒ 00:46:02.139 kimtodaro: Ben, like kind of ticks with it sometimes. Yeah.
304 00:46:02.990 ⇒ 00:46:13.360 Uttam Kumaran: yeah. I mean, II pretty much talked to him about that. He just he’s like I have him. He he’s just. He just makes changes as they go. And then prices basically. But again, he’s like
305 00:46:13.380 ⇒ 00:46:23.329 Jack Tomei: he doesn’t have data. But he he’d be a good person to ask, like what he has some good trial knowledge of like kind of you know what happens when he tinkers with stuff? Maybe so. Maybe he’s a good guy to ask, like.
306 00:46:23.860 ⇒ 00:46:43.479 Uttam Kumaran: you know, if we send the email, he’ll and we ask, he’ll be like, let’s let’s just try these. He he pretty much was like, let’s do that. I wanna get data on the pricing impact. So I think if we could try to run, can we just ask him for a range? Does he want us to increase by 20 or like by far. You know what I mean. I feel like you would have a good idea of just like vo like
307 00:46:44.080 ⇒ 00:46:49.370 Uttam Kumaran: sheer amount of pricing impact. Yeah, I can just text them and ask like, Hey, what’s a good?
308 00:46:49.680 ⇒ 00:46:56.870 Uttam Kumaran: Let’s just put something in front of him. And then we can see what he says. So maybe we try this week. We try this month to run.
309 00:46:57.490 ⇒ 00:47:06.660 Uttam Kumaran: I don’t know. We’ll come up with like at least 2 2 week long tests or something. We’ll see what we can do. We’ll try to pick one of the vendors to use for that test, and then
310 00:47:06.700 ⇒ 00:47:10.289 Uttam Kumaran: Kim il. Also, I’m asking some people about the
311 00:47:10.740 ⇒ 00:47:12.700 Uttam Kumaran: the rebuy
312 00:47:12.870 ⇒ 00:47:14.470 kimtodaro: okay.
313 00:47:14.620 ⇒ 00:47:18.040 Uttam Kumaran: option to. So kind of see what’s
314 00:47:18.270 ⇒ 00:47:30.740 Uttam Kumaran: best. I mean, I it’d be it’d be cool to use them. I just wanna see if there’s any other cause. I know there’s so many tools. So sometimes like it’s like, there’s a lot of these new tools coming up. But there may be a feature and something already established. So
315 00:47:30.940 ⇒ 00:47:45.450 Jack Tomei: one other test, while we’re while we’re doing this we could throw in like a bundling test, for, like we offer a subset of people, a free accessory, or whatever it is, free brush or something with a purchase of like above some number.
316 00:47:45.700 ⇒ 00:47:48.259 Jack Tomei: That way we can compare them all to each other.
317 00:47:48.480 ⇒ 00:47:57.380 kimtodaro: Honestly, I never buy I’ve never really successfully run like a buy this, get that or for gift with purchase.
318 00:47:57.410 ⇒ 00:48:01.229 kimtodaro: A lot of the apps are really shitty with shopify
319 00:48:02.760 ⇒ 00:48:21.039 kimtodaro: to do that successfully like, if you buy variable speed pool pump this week, this we can get a free 360 brush, and we buy actually, as a capability for that, too. Just and if we ran something like that, we would definitely need some, some email marketing along with that. Otherwise it’s just random.
320 00:48:21.480 ⇒ 00:48:28.850 Jack Tomei: Yeah, people thought, you know what I mean, like, we should definitely let people know versus the other stuff. We definitely don’t want to let anyone know.
321 00:48:28.970 ⇒ 00:48:29.820 kimtodaro: Right?
322 00:48:31.270 ⇒ 00:48:41.969 Uttam Kumaran: Okay, cool. So let me just draft that note. And then, Kim, I’ll just like CC, you. Basically, I just want to say, like, here’s our route. We’re gonna try to run these tests just status update. And then I’m gonna text Ben, about
323 00:48:42.230 ⇒ 00:48:47.589 Uttam Kumaran: like what we should try to change pricing on. And then hopefully. Maybe we could make some moves on that this week.
324 00:48:47.770 ⇒ 00:48:51.839 kimtodaro: Yeah. And if you guys need anything, I’m always around.
325 00:48:51.920 ⇒ 00:49:02.440 Jack Tomei: I’m always happy to be part of these conversations. So, yeah, it’s helpful to kind of talk to someone. That sort of knows the business.
326 00:49:02.450 ⇒ 00:49:03.710 Uttam Kumaran: thank you. Guys.
327 00:49:04.230 ⇒ 00:49:06.459 Uttam Kumaran: Okay, thanks. Everyone. Appreciate it.
328 00:49:07.130 ⇒ 00:49:11.329 kimtodaro: Alright! Have a great day. You, too.