Meeting Title: Honey Stinger Analysis Review Date: 2025-12-02 Meeting participants: Amber Lin, Robert Tseng
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1 00:01:49.130 ⇒ 00:01:50.639 Robert Tseng: Hello! Hello!
2 00:01:51.380 ⇒ 00:01:53.259 Amber Lin: Hi, how did the meeting go?
3 00:01:54.440 ⇒ 00:01:56.949 Robert Tseng: Great. I’m… I think…
4 00:01:57.350 ⇒ 00:02:05.629 Robert Tseng: I mean, we’ll see, like, what their budget is, they didn’t share it, but I mean, they’re… it’s… it’s… it’s a good… it’s a good fit for Zeron, so…
5 00:02:05.630 ⇒ 00:02:06.220 Amber Lin: Exciting!
6 00:02:06.220 ⇒ 00:02:07.720 Robert Tseng: Oh, yeah.
7 00:02:09.740 ⇒ 00:02:12.030 Robert Tseng: Yup. So, we’ll… we’ll see.
8 00:02:13.420 ⇒ 00:02:24.260 Amber Lin: Okay, I’m happy to hear that, because if there’s continuing to be work, then somebody will pick up the analysis here, and then I’ll have more work to do, which is very.
9 00:02:24.260 ⇒ 00:02:24.980 Robert Tseng: Yeah.
10 00:02:25.540 ⇒ 00:02:30.289 Robert Tseng: Yeah, yeah, I know it’s kind of a weird…
11 00:02:30.500 ⇒ 00:02:34.419 Robert Tseng: Month, because they basically have no marketing leaders right now.
12 00:02:35.170 ⇒ 00:02:37.740 Robert Tseng: No CMO, no VP of Marketing.
13 00:02:37.740 ⇒ 00:02:38.200 Amber Lin: I know.
14 00:02:38.200 ⇒ 00:02:43.380 Robert Tseng: Their senior marketing manager is also on maternity, so it’s just like…
15 00:02:43.490 ⇒ 00:02:49.259 Robert Tseng: I don’t even know… they’re just keeping the lights on, they’re not really making… they’re not really doing anything.
16 00:02:49.260 ⇒ 00:02:55.909 Amber Lin: It’s also the holiday, so I don’t know, like, why they decided to fire at this time, but…
17 00:02:56.460 ⇒ 00:02:57.310 Robert Tseng: Yeah.
18 00:02:59.780 ⇒ 00:03:08.179 Amber Lin: Anyways, that’s very exciting news. I have… so we have a few things each on Insomnia and Honey Stinger.
19 00:03:08.350 ⇒ 00:03:14.850 Amber Lin: And… I also want to ask, like, if there’s new work.
20 00:03:14.970 ⇒ 00:03:17.440 Amber Lin: Coming in that I can help with.
21 00:03:18.590 ⇒ 00:03:19.250 Robert Tseng: Yeah.
22 00:03:20.150 ⇒ 00:03:24.219 Robert Tseng: Yeah, what do you… you want to chat through Honey Stinger first?
23 00:03:24.220 ⇒ 00:03:29.529 Amber Lin: Sure, yeah. Okay. So, let me… I can share screen. I can walk you through.
24 00:03:30.020 ⇒ 00:03:35.350 Amber Lin: I think once you confirm, I’ll do a final polish on the slides. They’re slightly…
25 00:03:35.760 ⇒ 00:03:40.069 Amber Lin: I think they’re a little bit ugly. But this is what we talked about.
26 00:03:40.420 ⇒ 00:03:44.869 Amber Lin: Yesterday, so the follow-up on the PO analysis. And…
27 00:03:45.420 ⇒ 00:03:51.349 Amber Lin: So I tried to look at it based on category, and I tried to do, just…
28 00:03:52.460 ⇒ 00:03:56.909 Amber Lin: Over time, the concentration, not very… doesn’t…
29 00:03:57.040 ⇒ 00:04:16.510 Amber Lin: tell me much. The concentration was pretty much even. This partly is because Amazon only has data starting from May. The months before had very, very minimal sales. So, looking at all this ASINs together doesn’t give us much information.
30 00:04:16.790 ⇒ 00:04:29.359 Amber Lin: However, when we look at it within the category, it does tell us more, more insights. Because right here, we have a mix of categories in the top ASINs.
31 00:04:29.520 ⇒ 00:04:39.399 Amber Lin: So it’s hard to tell when we mix them together, but if we look at it within a category, for example, here are the choose.
32 00:04:40.040 ⇒ 00:04:48.120 Amber Lin: And you can see even in, say this month, I had some sales, this is in 2024, this…
33 00:04:48.240 ⇒ 00:05:01.360 Amber Lin: ASIN, the organic fruit smoothie energy chew, was still dominant in that category, and it seems that it always has been dominant in the category, even before
34 00:05:02.060 ⇒ 00:05:06.399 Amber Lin: I would say Byron’s claim of the sales surged this year.
35 00:05:07.020 ⇒ 00:05:12.179 Amber Lin: So, my question is that when he says, choose.
36 00:05:12.380 ⇒ 00:05:20.480 Amber Lin: or gel sales came out of nowhere. Does he just mean Amazon, or is he talking about Shopify overall? Because if…
37 00:05:21.340 ⇒ 00:05:25.789 Amber Lin: I guess, choose… the specific ASIN has always been leading
38 00:05:25.930 ⇒ 00:05:37.789 Amber Lin: their two category, just… it’s just a lot lower than their waffle sales, because they started… I assume they started from waffles. So, reasonably, waffles is the biggest one.
39 00:05:37.940 ⇒ 00:05:40.309 Amber Lin: So that’s my finding there. What do you think?
40 00:05:41.460 ⇒ 00:05:51.379 Robert Tseng: So, I guess what you’re saying is, yeah, smoothie energy has always been the top chew, but obviously, compared to waffles, the chews are smaller. Yeah.
41 00:05:51.380 ⇒ 00:05:55.679 Amber Lin: Same here with the gel. It’s… it’s been the biggest gel.
42 00:05:59.130 ⇒ 00:06:03.100 Robert Tseng: And they went to market with it, and, you know, it’s already been out for 2 years.
43 00:06:03.830 ⇒ 00:06:06.639 Amber Lin: Yeah, let me go to that slide.
44 00:06:06.640 ⇒ 00:06:09.890 Robert Tseng: I recall him saying, like, trails were pretty new or something.
45 00:06:10.070 ⇒ 00:06:14.689 Amber Lin: It’s… there’s data from 2024, like, this is.
46 00:06:14.690 ⇒ 00:06:17.740 Robert Tseng: Yeah, but life just blew up randomly in May, right?
47 00:06:17.740 ⇒ 00:06:23.670 Amber Lin: Yeah, but overall, their sales only went up in May, so they had no sales overall.
48 00:06:23.790 ⇒ 00:06:26.120 Amber Lin: Before May.
49 00:06:26.620 ⇒ 00:06:32.650 Robert Tseng: Yeah, yeah, because Amazon, they haven’t been on for 2 years, I’m sure, so… Yeah.
50 00:06:33.190 ⇒ 00:06:41.780 Robert Tseng: They probably tested some SKUs early on, which is why you see some sales early, but then they didn’t actually, like, go all in on it now. But now Amazon is, like, half their digital business, so…
51 00:06:41.780 ⇒ 00:06:42.440 Amber Lin: Hmm.
52 00:06:42.660 ⇒ 00:06:47.470 Robert Tseng: Yeah, like, it definitely grew pretty quickly. Yeah. Wow.
53 00:06:47.470 ⇒ 00:06:59.919 Amber Lin: So, I guess for their product testing, we can say, when you test products, look at it within the category instead of overall, because you will be very confused if you look at it overall.
54 00:07:00.820 ⇒ 00:07:02.760 Amber Lin: Maybe that’s my recommendation.
55 00:07:05.780 ⇒ 00:07:11.660 Robert Tseng: Yeah, I mean, I feel like with anything that’s, like, Marketplace or, like, or, like,
56 00:07:12.460 ⇒ 00:07:24.359 Robert Tseng: being able to… to drill in by product category or, like, by geographic region is always, like, it’s always, like, where you’re gonna find the interesting insights. So, yeah.
57 00:07:27.190 ⇒ 00:07:32.419 Amber Lin: Okay. Do you think that’s good for the extension here? I think that tells them something.
58 00:07:32.790 ⇒ 00:07:33.890 Robert Tseng: Yeah, I think this is good.
59 00:07:33.890 ⇒ 00:07:42.539 Amber Lin: anything. We… I didn’t find CAC data, didn’t find any marketing spend data, so when we send this over, we’ll have to…
60 00:07:42.540 ⇒ 00:07:44.299 Robert Tseng: That’s fine. We’ll just share it, yeah.
61 00:07:44.300 ⇒ 00:07:45.090 Amber Lin: Okay. Okay.
62 00:07:45.340 ⇒ 00:07:48.179 Amber Lin: This is the… and then this is the next one.
63 00:07:49.000 ⇒ 00:08:05.340 Amber Lin: I had to go back and edit some of the numbers. I changed the story arc, so I changed the question to, what are the growth levers? Started off with a table that shows them that their Shopify sales are flat for 5 years.
64 00:08:05.580 ⇒ 00:08:11.739 Amber Lin: And total orders are also flat, so they’ve just been doing the same. It’s like…
65 00:08:12.280 ⇒ 00:08:16.529 Amber Lin: seems okay, but I think it’s bad, because they are growing.
66 00:08:16.740 ⇒ 00:08:24.170 Amber Lin: So they’re… They’re overall flat. I changed this to a table.
67 00:08:24.440 ⇒ 00:08:26.149 Robert Tseng: Great, yeah, this looks better, yeah.
68 00:08:26.150 ⇒ 00:08:28.459 Amber Lin: And you can see the visitors.
69 00:08:28.950 ⇒ 00:08:32.330 Amber Lin: essentially halved from 2021.
70 00:08:32.450 ⇒ 00:08:41.289 Amber Lin: Yeah. Monthly active customers, this is based on Klaviyo events, so this includes
71 00:08:41.860 ⇒ 00:08:55.529 Amber Lin: place order and also recharge versus subscriptions. So, the price overall has went down, which combined with their flat revenue, tells us something of, okay, you’re getting a lot less top of funnel.
72 00:08:55.880 ⇒ 00:09:00.259 Amber Lin: So something is… Something is still…
73 00:09:00.470 ⇒ 00:09:02.770 Amber Lin: I guess something is covering up.
74 00:09:02.890 ⇒ 00:09:05.080 Amber Lin: That your visitors are going down.
75 00:09:05.560 ⇒ 00:09:14.030 Amber Lin: And, this is essentially the opposite of what I claimed earlier, so thank you, thank you for spotting the claim, because this would be really embarrassing.
76 00:09:14.900 ⇒ 00:09:21.260 Amber Lin: Essentially, we’re saying that you’re… Average order value has not changed.
77 00:09:21.480 ⇒ 00:09:30.390 Amber Lin: And your order number has not changed. Your sales has not changed, so… but you have less customers, so that means your customers are ordering more.
78 00:09:30.750 ⇒ 00:09:35.919 Amber Lin: Yep. Have less customers. So, their repeat, their repeat rate is actually
79 00:09:36.470 ⇒ 00:09:43.509 Amber Lin: decent for their category. I put it on the bottom. A repeat race, 32%, I think it’s standard.
80 00:09:44.020 ⇒ 00:09:48.960 Amber Lin: In, like, the sports category, or… or food and beverage.
81 00:09:49.170 ⇒ 00:09:50.270 Amber Lin: Yeah.
82 00:09:50.440 ⇒ 00:10:03.579 Amber Lin: But you can see here, this trend is the orders per active customer is rising. This is an artificially calculated number, but I think the trend is what matters here.
83 00:10:03.580 ⇒ 00:10:04.220 Robert Tseng: Yeah.
84 00:10:04.650 ⇒ 00:10:16.990 Amber Lin: Essentially, we’re telling them that your retention is good, but you’re right… you are relying on your repeat customers, and it’s covering up your declining traffic.
85 00:10:17.280 ⇒ 00:10:20.039 Amber Lin: Yeah. And I do want to look at… That’s great.
86 00:10:20.040 ⇒ 00:10:20.599 Robert Tseng: Right, yeah.
87 00:10:20.600 ⇒ 00:10:24.190 Amber Lin: we’re gonna get competitor data, but I want to look at, is this a…
88 00:10:24.370 ⇒ 00:10:39.499 Amber Lin: overall thing, is everybody getting less customers, and you’re just the best one, so every… so your customers are still retained? I also want to break this down. I just asked Henry for the query, so I want to look at
89 00:10:39.800 ⇒ 00:10:48.049 Amber Lin: Where it’s contributed, is it from subscriptions declined, or is it from single orders?
90 00:10:48.800 ⇒ 00:10:49.950 Amber Lin: Decline.
91 00:10:51.400 ⇒ 00:10:52.959 Amber Lin: Where’s my wreck?
92 00:10:53.750 ⇒ 00:11:04.709 Amber Lin: Here. Is it repeat customers that’s calling, or, like, who’s ordering more, or is it subscription customers that’s ordering more? So, like, dividing my customers here.
93 00:11:04.950 ⇒ 00:11:06.170 Amber Lin: And then, essentially.
94 00:11:06.170 ⇒ 00:11:10.400 Robert Tseng: Are they on subscription? Aren’t they all repeat? I don’t think… can you even subscribe?
95 00:11:11.730 ⇒ 00:11:14.069 Amber Lin: There is a subscription.
96 00:11:14.490 ⇒ 00:11:18.700 Amber Lin: I just don’t know how many people are in the subscription, so I want to look into that.
97 00:11:19.270 ⇒ 00:11:23.879 Robert Tseng: Okay. I feel like it would be very low. I don’t know who would subscribe to waffles, but…
98 00:11:24.450 ⇒ 00:11:31.000 Amber Lin: I don’t know, but it is true that they order… they order about, like, 4 times a year.
99 00:11:31.330 ⇒ 00:11:32.900 Robert Tseng: Okay, that seems to make sense.
100 00:11:32.900 ⇒ 00:11:36.709 Amber Lin: Who repeats, the people who repeat, because there’s, like.
101 00:11:36.950 ⇒ 00:11:41.919 Amber Lin: There’s already 3 spikes, and those are sports seasons, and if they train, they order at the…
102 00:11:42.100 ⇒ 00:11:44.270 Amber Lin: Promotional period, because.
103 00:11:44.270 ⇒ 00:11:44.620 Robert Tseng: Yeah.
104 00:11:44.620 ⇒ 00:11:46.860 Amber Lin: Seems like they promote pretty heavily.
105 00:11:47.090 ⇒ 00:11:47.780 Robert Tseng: Yep.
106 00:11:47.940 ⇒ 00:11:54.140 Amber Lin: Cause… Or else it would not be the significant spice, and then it’s just dead afterwards.
107 00:11:54.370 ⇒ 00:11:54.720 Robert Tseng: Yeah.
108 00:11:54.720 ⇒ 00:11:58.600 Amber Lin: So, I think those are a few other problems that we see.
109 00:11:58.720 ⇒ 00:12:05.379 Amber Lin: Is that they’re very cyclical, which is natural for the business, but I think they’re a bit too promotional.
110 00:12:05.510 ⇒ 00:12:24.930 Amber Lin: driven, so overall, I think our recommendation is you need to focus on traffic, and you need to slightly smooth out or rethink your promotional strategies. But still, like, the top priority is to drive traffic, and then after that, we can think of, are we promoting too heavily,
111 00:12:25.420 ⇒ 00:12:28.880 Amber Lin: How does that change who we attract?
112 00:12:29.060 ⇒ 00:12:33.270 Amber Lin: Especially when we want to increase the traffic. We might not want to.
113 00:12:33.570 ⇒ 00:12:36.289 Amber Lin: get them through promotions. So that’s sort.
114 00:12:36.290 ⇒ 00:12:36.700 Robert Tseng: Yeah.
115 00:12:38.470 ⇒ 00:12:53.349 Robert Tseng: Okay. Yeah, I mean, I think I want to call out here, I mean, you don’t have this data yet, but, like, they’re also in retail, right? So, I mean, we’re not… you’re not looking at Walmart data yet, but Walmart will have in-person… I mean, I would assume that it has in-person retail, like, data as well.
116 00:12:53.730 ⇒ 00:12:54.260 Amber Lin: I didn’t…
117 00:12:54.780 ⇒ 00:12:55.259 Amber Lin: It was odd.
118 00:12:55.260 ⇒ 00:12:55.630 Robert Tseng: Damn.
119 00:12:55.630 ⇒ 00:12:58.999 Amber Lin: Brand shop and brand, brand shelf.
120 00:12:59.240 ⇒ 00:13:03.480 Amber Lin: I didn’t see any… Shelf. Shelf is in… is in store, right?
121 00:13:03.680 ⇒ 00:13:09.520 Amber Lin: But it looks like it’s, Walmart… Sis.
122 00:13:10.360 ⇒ 00:13:11.700 Amber Lin: Looks like this.
123 00:13:11.700 ⇒ 00:13:12.689 Robert Tseng: Oh, it’s just this.
124 00:13:12.690 ⇒ 00:13:16.220 Amber Lin: Door, and then, then… here’s shelves.
125 00:13:17.160 ⇒ 00:13:17.850 Robert Tseng: Okay.
126 00:13:18.730 ⇒ 00:13:24.439 Robert Tseng: Well, I guess my point is that, they have B2B sales, or retail sales, that…
127 00:13:24.550 ⇒ 00:13:28.980 Robert Tseng: I guess we don’t have that data yet, but… I…
128 00:13:29.360 ⇒ 00:13:38.020 Robert Tseng: I mean, they’ll… their promotional periods, like, the seasonality of it makes sense, like, around the sporting periods, and then BFCM.
129 00:13:38.140 ⇒ 00:13:43.610 Robert Tseng: And then throughout the year, how they generate more awareness is…
130 00:13:43.960 ⇒ 00:13:56.580 Robert Tseng: I mean, they’re not driving digital traffic, but they’re trying to expand distribution, get into more physical storefronts, and so people are able to see their product in store. That’s part of, like, the awareness that, like, we’re not able to capture in our reporting right now.
131 00:13:56.740 ⇒ 00:14:04.429 Robert Tseng: Which is fine. So basically, like, your view is really just, like, telling the digital story. It’s not really capturing the in-store, kind of…
132 00:14:04.490 ⇒ 00:14:18.629 Robert Tseng: experience. Like, for me, the first time I saw Honey Stinger was at an REI, and I was like, oh, that’s interesting. And then I ended up, like, seeing it at another store, like, some sort of outdoor specialty store, and then I bought it the first time.
133 00:14:19.690 ⇒ 00:14:25.810 Robert Tseng: And then, eventually, I transitioned over to e-com, and I started buying, like, twice a year, pretty much.
134 00:14:25.810 ⇒ 00:14:26.820 Amber Lin: So…
135 00:14:26.820 ⇒ 00:14:28.669 Robert Tseng: I mean, that was my personal…
136 00:14:28.670 ⇒ 00:14:30.280 Amber Lin: kind of journey, like, I…
137 00:14:30.280 ⇒ 00:14:32.830 Robert Tseng: I’m assuming that this is kind of…
138 00:14:33.560 ⇒ 00:14:55.689 Robert Tseng: people discover this product in store at these, like, at these… at retail, and then once they know that they like it, they know what they want, then they’re… then they’re going online because it has a better deal, right? So, like, that’s part of the omni-channel, like, story that we’re not able to tell right now. Obviously, we’re just looking at digital data, but eventually, I think we will be able to tell that story of, like, how many people are doing something like what I did.
139 00:14:56.560 ⇒ 00:14:57.770 Amber Lin: Yeah, totally.
140 00:14:57.890 ⇒ 00:14:58.920 Amber Lin: Yeah.
141 00:15:01.150 ⇒ 00:15:06.460 Robert Tseng: Oh, great. I mean, this is, this is, this is CPG analysis. I think you’re… this is something you’re saying, like.
142 00:15:06.740 ⇒ 00:15:12.200 Robert Tseng: Yeah, I mean, I would like to get some of that retail data, then you’ll be able to do it, and voila, you’ve…
143 00:15:12.200 ⇒ 00:15:12.580 Amber Lin: You’ve…
144 00:15:12.580 ⇒ 00:15:13.110 Robert Tseng: Eddie.
145 00:15:13.390 ⇒ 00:15:16.390 Robert Tseng: Jack, do you think you can… you’re, you’re…
146 00:15:16.590 ⇒ 00:15:22.130 Robert Tseng: you know more about unified commerce than most brands do at that point.
147 00:15:22.130 ⇒ 00:15:23.290 Amber Lin: What’s that?
148 00:15:23.290 ⇒ 00:15:26.240 Robert Tseng: It’s just the term for, like.
149 00:15:26.630 ⇒ 00:15:34.320 Robert Tseng: Before, everyone was saying omnichannel, but in the past, like, couple years, like, the terminology has transitioned to unified commerce, which is, like.
150 00:15:34.320 ⇒ 00:15:35.040 Amber Lin: Okay.
151 00:15:35.040 ⇒ 00:15:38.720 Robert Tseng: The in-store versus online experience, like, what are the kind of…
152 00:15:38.720 ⇒ 00:15:44.740 Amber Lin: Yeah, I’ve not done that at all, that’s very interesting, like, does Insomnia even have that data?
153 00:15:45.080 ⇒ 00:15:48.029 Robert Tseng: Yeah, insomnia does, because we have POS data, and we have
154 00:15:48.390 ⇒ 00:15:53.029 Robert Tseng: location. So, I mean, I would love to do that with Insomnia. It’s just a matter of…
155 00:15:53.680 ⇒ 00:15:55.209 Robert Tseng: If they can.
156 00:15:55.720 ⇒ 00:15:58.849 Robert Tseng: However, we have We could… we could just
157 00:15:59.180 ⇒ 00:16:09.189 Robert Tseng: Right now, they’re just paying us to do whatever, so we’re interested in doing something. But no, it’s not just… there’s no point in just doing it. I have to find the right person, first, so…
158 00:16:09.520 ⇒ 00:16:15.170 Robert Tseng: I don’t want finance to be the stakeholder. I was hoping this VP of Digital would be the one.
159 00:16:15.430 ⇒ 00:16:18.020 Robert Tseng: But she’s also not, like, caring about…
160 00:16:18.320 ⇒ 00:16:22.410 Robert Tseng: I, I gotta, I gotta get to, like, somebody who’s, like, a head of product.
161 00:16:22.410 ⇒ 00:16:22.910 Amber Lin: Yeah.
162 00:16:22.910 ⇒ 00:16:31.249 Robert Tseng: Or how to… or stay in marketing. So, but the marketing stakeholder is gonna take a while. They’re hiring for it, and I don’t know, I’m rolling down, so…
163 00:16:31.860 ⇒ 00:16:32.310 Amber Lin: Okay.
164 00:16:32.310 ⇒ 00:16:38.970 Robert Tseng: Yeah, this… this is the politics of, big corp… big company.
165 00:16:40.210 ⇒ 00:16:46.800 Amber Lin: Okay, so that’s… For… Honey Stinger.
166 00:16:46.800 ⇒ 00:16:47.210 Robert Tseng: Okay.
167 00:16:47.210 ⇒ 00:16:50.720 Amber Lin: And Sonya, I polished up the slides.
168 00:16:50.720 ⇒ 00:16:51.260 Robert Tseng: Great.
169 00:16:51.260 ⇒ 00:16:58.750 Amber Lin: It’s, like, it’s small edit, so I don’t think we need to review it here. Okay. We want to do a quick pass, then we just send it right here.
170 00:16:58.890 ⇒ 00:16:59.830 Amber Lin: And then…
171 00:16:59.830 ⇒ 00:17:01.720 Robert Tseng: I’m good, I’m good to be sending it, yeah.
172 00:17:02.020 ⇒ 00:17:07.549 Amber Lin: I think Seza might need some… I haven’t, like, I attacked her, I haven’t… she might be working still, but…
173 00:17:07.730 ⇒ 00:17:13.310 Amber Lin: I can help her with the slides, especially if it’s her first time doing our format of slides.
174 00:17:13.310 ⇒ 00:17:29.450 Robert Tseng: Yeah, yeah. I don’t think she’s done with it yet, so I’m kind of expecting it to take a bit longer. On the, on the weekly review, or the bi-weekly review, like, I’m not expecting to send that out today, but, for your analysis, like, whenever you’re done, we can send that, yeah.
175 00:17:29.610 ⇒ 00:17:34.590 Amber Lin: Okay, I mean, the… my segmentation slides are… Done.
176 00:17:34.590 ⇒ 00:17:38.320 Robert Tseng: Great. Yeah, I want to send… I want to take that and send it to the VP of Digital today.
177 00:17:38.560 ⇒ 00:17:39.200 Amber Lin: Yeah.
178 00:17:39.220 ⇒ 00:17:41.790 Robert Tseng: you know, today, tomorrow. Like, I think that’s, like, one…
179 00:17:41.900 ⇒ 00:17:47.160 Robert Tseng: She’s like, I don’t know what you guys do, and I’m like, okay, great, like, I want to give you an example.
180 00:17:47.190 ⇒ 00:17:56.940 Amber Lin: On that, the previous project review contains… so if she really doesn’t know what we do at all, I think this is a better…
181 00:17:57.350 ⇒ 00:18:01.109 Robert Tseng: They’re so siloed, like, they don’t… like, nobody knows what we do outside of marketing.
182 00:18:01.110 ⇒ 00:18:09.020 Amber Lin: Yeah, this is the previous one we did. So this has… this is the product review. I… I suggest we just copy over what we’re doing here into…
183 00:18:09.020 ⇒ 00:18:09.340 Robert Tseng: Okay.
184 00:18:09.340 ⇒ 00:18:10.649 Amber Lin: That’s all I did in New York.
185 00:18:10.650 ⇒ 00:18:12.430 Robert Tseng: How come that wasn’t what I showed you.
186 00:18:12.640 ⇒ 00:18:18.569 Amber Lin: No, this is… this isn’t. This is the one that Uten wanted everything together. So this is all the analysis.
187 00:18:20.160 ⇒ 00:18:25.900 Amber Lin: Until the 7th. Yeah. I can… let me add the… I can add the new announcement.
188 00:18:25.900 ⇒ 00:18:27.100 Robert Tseng: Is that in the folder?
189 00:18:27.420 ⇒ 00:18:32.320 Amber Lin: This should be. So this is in… lasagna cookies.
190 00:18:32.320 ⇒ 00:18:33.719 Robert Tseng: Oh, it is. Okay.
191 00:18:34.430 ⇒ 00:18:35.710 Robert Tseng: I guess I missed it.
192 00:18:36.520 ⇒ 00:18:37.710 Amber Lin: And then it has…
193 00:18:37.710 ⇒ 00:18:42.749 Robert Tseng: Maybe call it, like, Master Project Review or something, I don’t know, like, so I can distinguish it better.
194 00:18:43.990 ⇒ 00:18:52.930 Amber Lin: Yeah, and then I’ll clean this up, I’ll move this somewhere else. But I think if she doesn’t know anything we do, like, this is… you showed… I think you showed this to her, yeah.
195 00:18:53.580 ⇒ 00:18:54.500 Robert Tseng: Okay, great.
196 00:18:54.500 ⇒ 00:18:55.630 Amber Lin: helpful for her.
197 00:18:55.950 ⇒ 00:18:56.490 Robert Tseng: Yeah.
198 00:18:56.860 ⇒ 00:19:11.590 Amber Lin: Okay. I’ve been… I’ve been learning the… I’ve been chatting between the marketing analytics, the overall… all the metrics, and how things tie together, and doing a little bit of…
199 00:19:12.620 ⇒ 00:19:20.389 Amber Lin: Because it’s… it’s sales and marketing, and it ties into a bit of product here and there, and there’s unit economics. So I’ve been doing…
200 00:19:20.930 ⇒ 00:19:22.510 Amber Lin: I’ve been doing that.
201 00:19:22.660 ⇒ 00:19:32.489 Amber Lin: And I was wondering if there’s new work coming in, because right now, like, Insomnia’s a bit stuck, Honey Stinger, we have… I know…
202 00:19:32.640 ⇒ 00:19:36.600 Amber Lin: What we need to do, and we don’t have that much data, so there’s.
203 00:19:36.600 ⇒ 00:19:37.220 Robert Tseng: Yeah.
204 00:19:37.770 ⇒ 00:19:46.099 Amber Lin: two small things I can do. Yeah. So, is there other clients, or is there anything interesting that you were thinking about that I can help with?
205 00:19:47.020 ⇒ 00:19:53.909 Robert Tseng: Yeah, I mean, I think Element will probably… I’ll probably pull you into Element once we get started there.
206 00:19:56.840 ⇒ 00:19:59.869 Robert Tseng: Yeah, I mean, I think that’s… that’s probably the one.
207 00:20:01.540 ⇒ 00:20:02.900 Amber Lin: When is this starting?
208 00:20:03.790 ⇒ 00:20:09.879 Robert Tseng: We already started, but we were just kind of in discovery, probably for the first week or two weeks.
209 00:20:11.940 ⇒ 00:20:17.600 Robert Tseng: Yeah, I mean, they’re… they’re also a D2C, probably…
210 00:20:18.570 ⇒ 00:20:23.319 Robert Tseng: They’re bigger than Honey Stinger, but smaller than Insomnia, so…
211 00:20:23.440 ⇒ 00:20:33.840 Robert Tseng: But we’re actually going to be focusing less on their D2C, like, not Shopify analysis, and… but they want to focus on wholesale, so we’re trying to, like.
212 00:20:34.240 ⇒ 00:20:34.950 Robert Tseng: figure out.
213 00:20:36.410 ⇒ 00:20:46.140 Robert Tseng: how to support on their wholesale operation. So they’re, like, you know, selling to Costco and, like, other… maybe even Walmart or Sam’s Club or something, so…
214 00:20:46.320 ⇒ 00:20:49.839 Robert Tseng: Yeah, it’ll… it’ll be… it’ll be different.
215 00:20:50.510 ⇒ 00:20:52.180 Amber Lin: Okay, I guess.
216 00:20:52.180 ⇒ 00:20:52.530 Robert Tseng: Yeah.
217 00:20:52.530 ⇒ 00:20:55.219 Amber Lin: We’ll shop on that a bit more.
218 00:20:57.790 ⇒ 00:21:15.200 Amber Lin: Yes, we have 5 minutes. I was… as I was learning, like, marketing analytics and looking at the overall framework, I had a question of, did you select Marketing Analytics when you first started, or did you just do everything and kind of learn a bit here and there?
219 00:21:15.200 ⇒ 00:21:17.350 Robert Tseng: Yeah, I think, just kinda…
220 00:21:18.160 ⇒ 00:21:26.960 Robert Tseng: learned different things. I think it’s better to specialize in something, so that’s why I’m not pulling you into, like, operation, like, I’m trying to…
221 00:21:27.150 ⇒ 00:21:30.929 Robert Tseng: Trying to just keep you in marketing stuff for now, just until you get…
222 00:21:31.090 ⇒ 00:21:39.109 Robert Tseng: comfortable with it, and then we can move you to something else. But, like, I’m having Sezium do financial analysis, so…
223 00:21:39.230 ⇒ 00:21:45.609 Robert Tseng: anything that needs forecasting, like, I’m having… I’m basically testing to see how she’ll… she’ll do there.
224 00:21:45.610 ⇒ 00:21:46.020 Amber Lin: Hmm.
225 00:21:47.600 ⇒ 00:21:57.879 Robert Tseng: For any, like, strategic finance kind of related work. And then, with Henry on Pharmetica and stuff, I think Henry is less of an analyst, he’s more of just, like, an…
226 00:21:58.240 ⇒ 00:22:00.670 Robert Tseng: He’s like an engine… he’s an engineer, right?
227 00:22:00.670 ⇒ 00:22:07.759 Amber Lin: engineer, he’s really good at SQL. He’s… I partnered with him, and it was… he was really fast with the courage, which really helped me.
228 00:22:08.350 ⇒ 00:22:08.820 Robert Tseng: Yeah.
229 00:22:08.820 ⇒ 00:22:23.289 Amber Lin: then I… I can point out to say, oh, hey, the conversion… like, the revenue per visitor is high, but that probably is because we have less visitors. And we went to look at traffic, so my brain is more sporadic, and I think it helps.
230 00:22:23.390 ⇒ 00:22:24.030 Amber Lin: to pair.
231 00:22:24.030 ⇒ 00:22:31.990 Robert Tseng: Yeah, no, you can, you can spot things better than you can, I think, so, but yeah, so…
232 00:22:32.850 ⇒ 00:22:37.430 Robert Tseng: I think operational, like, that’s why I’m having him do the pharmacy ops stuff.
233 00:22:37.780 ⇒ 00:22:44.990 Robert Tseng: It’s like, that’s a lot more just engineering. You don’t have to be very creative. Like, it’s pretty standard, like, what you’re measuring.
234 00:22:45.270 ⇒ 00:22:51.819 Robert Tseng: And it’s just, like, a matter of, like, making sure that you’re able to track things appropriately, so it’s more of an engineering problem.
235 00:22:52.160 ⇒ 00:23:07.349 Robert Tseng: So, that’s kind of how we’re doing it. Product analytics, and like, I know you’re helping a bit with default on the pricing side. We may… I think we’re still gonna try to bring someone in to do just product analytics. So we’re… we’ve been talking to a guy
236 00:23:07.460 ⇒ 00:23:10.410 Robert Tseng: For him to come in and basically do…
237 00:23:10.550 ⇒ 00:23:17.689 Robert Tseng: default, read me, and then we have a new client, peep, that’s… that’s gonna… not PEEP, Is it P…
238 00:23:18.420 ⇒ 00:23:26.239 Robert Tseng: I don’t remember what it’s called. Yeah, anyway, another client is coming in. So, I think that covers the basis. Yeah.
239 00:23:26.240 ⇒ 00:23:39.339 Amber Lin: Mine only tells me about Product Insight, but it tells me nothing about… oh, they… I only just learned what it’s about. It tells me nothing about how people travel through the whole website, or, like.
240 00:23:39.500 ⇒ 00:23:41.290 Amber Lin: Different products, or more.
241 00:23:41.760 ⇒ 00:23:42.330 Robert Tseng: Yeah.
242 00:23:42.330 ⇒ 00:23:50.319 Amber Lin: That’s a whole nother field. I… I don’t have… I can’t do two things at once, so it’s only, like, I can only do this field right now.
243 00:23:50.700 ⇒ 00:23:51.790 Robert Tseng: Yeah, yeah.
244 00:23:52.040 ⇒ 00:23:52.730 Robert Tseng: Yeah.
245 00:23:52.730 ⇒ 00:23:53.260 Amber Lin: Yeah.
246 00:23:53.380 ⇒ 00:23:54.320 Amber Lin: Exciting.
247 00:23:54.700 ⇒ 00:23:56.280 Amber Lin: Okay.
248 00:23:56.490 ⇒ 00:24:02.390 Amber Lin: That was all my questions, so I will polish up some of the insomnia slides.
249 00:24:02.520 ⇒ 00:24:09.180 Amber Lin: And then… we’ll send over… The Honey Singer slides today?
250 00:24:09.650 ⇒ 00:24:10.290 Robert Tseng: Yeah.
251 00:24:10.290 ⇒ 00:24:13.209 Amber Lin: Okay, yeah, sounds good. I’ll grab Thomasism.
252 00:24:13.750 ⇒ 00:24:14.270 Robert Tseng: Okay.
253 00:24:14.860 ⇒ 00:24:16.159 Amber Lin: Okay, thank you so much.
254 00:24:16.160 ⇒ 00:24:16.690 Robert Tseng: Amber…
255 00:24:17.580 ⇒ 00:24:18.030 Amber Lin: Bye!