Meeting Title: Mother Duck Lead List Sync Date: 2026-03-16 Meeting participants: Luke Scorziell, Ryan Brosas
WEBVTT
1 00:00:39.880 ⇒ 00:00:40.830 Ryan Brosas: Hey.
2 00:00:41.690 ⇒ 00:00:44.120 Luke Scorziell: Hey, how’s it going? How’s the day so far?
3 00:00:45.170 ⇒ 00:00:50.609 Ryan Brosas: Yeah, I think it’s doing fine. I just finished the, well,
4 00:00:51.130 ⇒ 00:01:02.719 Ryan Brosas: set everything up for today and tomorrow’s content. I’m not sure if that’s going to be posted today, because I haven’t really gotten any content.
5 00:01:02.720 ⇒ 00:01:03.400 Luke Scorziell: approval.
6 00:01:04.120 ⇒ 00:01:04.989 Ryan Brosas: Yeah.
7 00:01:05.670 ⇒ 00:01:12.570 Luke Scorziell: Yeah, okay, let, oh, yeah, sorry, I’ll take a look after this, and then try to ping Tom.
8 00:01:17.710 ⇒ 00:01:23.210 Luke Scorziell: But, yeah, thanks for doing that. Sorry, I’ve been a little laggy trying to just figure out the best workflow.
9 00:01:25.510 ⇒ 00:01:27.710 Luke Scorziell: horror content.
10 00:01:29.110 ⇒ 00:01:32.939 Luke Scorziell: Yeah, I guess, I don’t know, I was curious, because I know, obviously, you’re building lists and stuff.
11 00:01:33.320 ⇒ 00:01:36.690 Luke Scorziell: Just what it is that you do to kind of put together
12 00:01:36.970 ⇒ 00:01:41.330 Luke Scorziell: a list, so… I don’t know, this is very, like… Broad.
13 00:01:41.830 ⇒ 00:01:46.820 Luke Scorziell: But, like… I guess the goal is to…
14 00:01:47.350 ⇒ 00:01:49.960 Luke Scorziell: Put together, like, e-commerce and retail.
15 00:01:52.650 ⇒ 00:01:53.950 Ryan Brosas: Yeah.
16 00:01:53.950 ⇒ 00:01:56.299 Luke Scorziell: I don’t know, so that’s… yeah, I’m moving a little bit of…
17 00:01:56.300 ⇒ 00:02:03.980 Ryan Brosas: bit… Okay, because, well, most of them already have, like, Website English, but…
18 00:02:04.360 ⇒ 00:02:13.720 Ryan Brosas: One thing that I put on there is a stack, like Shopify and, WordPress.
19 00:02:14.300 ⇒ 00:02:19.840 Ryan Brosas: I think, Sales Nav doesn’t have that, but, just to, like.
20 00:02:20.660 ⇒ 00:02:23.940 Ryan Brosas: our, like, set of rules, like, I think…
21 00:02:24.260 ⇒ 00:02:28.360 Ryan Brosas: 50 million and above, the… I think that’s pretty much, like.
22 00:02:29.020 ⇒ 00:02:33.549 Ryan Brosas: automatically that they have either WordPress or Shopify.
23 00:02:33.550 ⇒ 00:02:34.000 Luke Scorziell: Or he’d…
24 00:02:34.000 ⇒ 00:02:46.329 Ryan Brosas: like, a custom, custom website, I’m not sure what… what framework they’re… they’re, they’re, using, but specifically, I’m just assuming they have that
25 00:02:46.580 ⇒ 00:02:56.609 Ryan Brosas: But, I think that’s pretty much, I set also, like, headwater to U.S. state, so you can distill that as well more.
26 00:02:57.530 ⇒ 00:03:00.780 Ryan Brosas: And… depends on…
27 00:03:01.040 ⇒ 00:03:07.389 Ryan Brosas: If you want to add more specific, like, texts and such, I think that’s… that’s pretty much fine.
28 00:03:07.650 ⇒ 00:03:11.760 Ryan Brosas: For… this…
29 00:03:12.960 ⇒ 00:03:25.330 Ryan Brosas: after this, I, like, extract this to a CSV, and then, move this to, like, Clay, and further on, like, enrich this, and based on the requirements.
30 00:03:25.740 ⇒ 00:03:29.059 Ryan Brosas: I will get all the datasets based on that.
31 00:03:30.410 ⇒ 00:03:32.199 Luke Scorziell: So, okay, so you…
32 00:03:35.080 ⇒ 00:03:43.400 Luke Scorziell: put all this on… so you’re able to extract all this, because, yeah, I’m kind of like, like, I ideally would want people who are, like, first or second degree connections.
33 00:03:44.510 ⇒ 00:03:48.920 Luke Scorziell: to Robert or Tom, but I can’t… I don’t think they have that filter here.
34 00:03:49.530 ⇒ 00:03:51.530 Ryan Brosas: I’m not sure, yes, yeah, there, that’s there.
35 00:03:52.180 ⇒ 00:03:59.969 Ryan Brosas: But, yeah, you need to… Filter out the fir… the… the… what do you call this? The company first?
36 00:04:00.250 ⇒ 00:04:10.040 Ryan Brosas: Because if we’re going to move to getting all the contacts, Because if you’re not… Like…
37 00:04:10.500 ⇒ 00:04:17.769 Ryan Brosas: Filtered out. It will be much more… Not clean, I guess?
38 00:04:18.769 ⇒ 00:04:21.119 Luke Scorziell: What do you mean, filter out the companies? Like…
39 00:04:21.440 ⇒ 00:04:28.529 Ryan Brosas: Like, you need to filter out the company first, but then you need then, going on to the contact
40 00:04:28.700 ⇒ 00:04:33.969 Ryan Brosas: After the, the, the company. You need to enrich the company first.
41 00:04:33.990 ⇒ 00:04:50.759 Ryan Brosas: Then, after the enrichment of the company, you will, you know, based on the output of, like, if you’re satisfied with the output of the enrichment, like, you nailed out something, like, you want to stick with
42 00:04:50.880 ⇒ 00:04:52.769 Ryan Brosas: For example, AG JAGs.
43 00:04:53.000 ⇒ 00:05:05.540 Ryan Brosas: That’s just an example that you want to, target, like, a retail for fashion or something, then, then you want to distill that for, for that specific niche or…
44 00:05:05.940 ⇒ 00:05:09.479 Ryan Brosas: Or, kind of, like, amount or something.
45 00:05:09.680 ⇒ 00:05:17.200 Ryan Brosas: depends on… on what’s needed. But yeah, I think I… it would… You should…
46 00:05:18.570 ⇒ 00:05:21.669 Ryan Brosas: You need to distill, or…
47 00:05:22.080 ⇒ 00:05:28.709 Ryan Brosas: Enrich first the company, then after enriching the company, you need to push down
48 00:05:28.900 ⇒ 00:05:35.310 Ryan Brosas: goes down to, to Clay, or either, here in, in, in…
49 00:05:35.410 ⇒ 00:05:40.020 Ryan Brosas: in Sales Nav to filter all the contacts that you needed.
50 00:05:42.030 ⇒ 00:05:43.510 Luke Scorziell: Got it. So…
51 00:05:48.070 ⇒ 00:05:51.290 Ryan Brosas: Because, there’s, like, a lot of stuff, like, Arito.
52 00:05:51.290 ⇒ 00:05:51.670 Luke Scorziell: You wanna…
53 00:05:52.040 ⇒ 00:05:56.070 Luke Scorziell: Like, maybe you could screen share on your end, and then we can kind of do it together.
54 00:05:58.340 ⇒ 00:06:01.830 Ryan Brosas: For sure, sure. Can you send me the link for that search?
55 00:06:03.140 ⇒ 00:06:03.520 Luke Scorziell: Yeah.
56 00:06:03.520 ⇒ 00:06:07.840 Ryan Brosas: I can just send you the… Nope.
57 00:06:21.490 ⇒ 00:06:23.180 Luke Scorziell: Okay, I put it in that thread.
58 00:06:27.490 ⇒ 00:06:32.619 Luke Scorziell: I mean, we can get even more specific than just retail. We could literally just do retail, like, apparel.
59 00:06:36.780 ⇒ 00:06:37.930 Ryan Brosas: Yeah, please.
60 00:06:38.640 ⇒ 00:06:39.740 Ryan Brosas: Oh, birds.
61 00:06:45.830 ⇒ 00:06:46.830 Ryan Brosas: That’s okay.
62 00:07:00.410 ⇒ 00:07:01.330 Ryan Brosas: Oh, God.
63 00:07:02.860 ⇒ 00:07:04.859 Ryan Brosas: Did you save this first?
64 00:07:07.700 ⇒ 00:07:08.750 Ryan Brosas: Luckily.
65 00:07:22.220 ⇒ 00:07:24.820 Ryan Brosas: I mean…
66 00:07:27.890 ⇒ 00:07:29.540 Ryan Brosas: For example…
67 00:07:38.240 ⇒ 00:07:39.180 Ryan Brosas: Nothing.
68 00:07:42.680 ⇒ 00:07:45.220 Luke Scorziell: Could you see a retail apparel, that’s fine.
69 00:07:59.000 ⇒ 00:08:00.770 Luke Scorziell: I don’t have to do all of them.
70 00:08:06.790 ⇒ 00:08:15.110 Ryan Brosas: Okay. So, yeah, after this, if you’re… if you are, like, satisfied with this, you can just go with…
71 00:08:16.470 ⇒ 00:08:19.410 Ryan Brosas: Great.
72 00:08:21.440 ⇒ 00:08:26.230 Ryan Brosas: No, don’t think it’s playing… Hoping.
73 00:08:27.030 ⇒ 00:08:28.739 Ryan Brosas: Yes, this one.
74 00:08:51.770 ⇒ 00:08:53.460 Ryan Brosas: I’m just nope.
75 00:09:07.090 ⇒ 00:09:08.030 Ryan Brosas: a plane.
76 00:09:09.940 ⇒ 00:09:10.830 Ryan Brosas: challenge.
77 00:09:17.830 ⇒ 00:09:21.089 Luke Scorziell: Did we, like, totally need the number of… oh, number of followers.
78 00:09:23.140 ⇒ 00:09:29.590 Ryan Brosas: Like, if you want, like, another angle, like, if they’re active on LinkedIn.
79 00:09:30.360 ⇒ 00:09:37.490 Ryan Brosas: That’s something that you could do also, but I think that’s not necessary, just… just looking at it.
80 00:09:38.040 ⇒ 00:09:42.519 Ryan Brosas: Then, let’s copy and just paste it.
81 00:10:11.480 ⇒ 00:10:14.179 Luke Scorziell: Hmm, okay. So this is how you typically deal?
82 00:10:15.440 ⇒ 00:10:19.199 Ryan Brosas: Yeah, you just need to,
83 00:10:19.780 ⇒ 00:10:23.499 Ryan Brosas: First, I think pretty much for me, I just need to…
84 00:10:23.600 ⇒ 00:10:29.060 Ryan Brosas: Distilled this down to much more app, like, specific.
85 00:10:29.360 ⇒ 00:10:37.859 Ryan Brosas: What do you call this? Specific? For example, if we want to, like, Moved more on…
86 00:10:38.320 ⇒ 00:10:42.740 Ryan Brosas: on what they call this, like, Eden, like, health and such.
87 00:10:42.970 ⇒ 00:10:45.359 Ryan Brosas: I’ll just add here, Mike, help.
88 00:10:45.830 ⇒ 00:10:51.859 Ryan Brosas: Or… And then it will, like…
89 00:10:52.100 ⇒ 00:10:56.759 Ryan Brosas: show me some help. For example, also, this… I think this is something that we did
90 00:10:56.900 ⇒ 00:11:01.139 Ryan Brosas: tried to, outreach at to Notre Bolt.
91 00:11:01.560 ⇒ 00:11:05.249 Ryan Brosas: So, I think that’s providing me, like, a good
92 00:11:05.750 ⇒ 00:11:11.970 Ryan Brosas: I’ll put here, beds… I’m not sure if we did something like that.
93 00:11:11.970 ⇒ 00:11:12.570 Luke Scorziell: Hmm.
94 00:11:13.130 ⇒ 00:11:17.040 Ryan Brosas: And… Very fast.
95 00:11:45.370 ⇒ 00:11:46.190 Luke Scorziell: Okay.
96 00:11:49.640 ⇒ 00:11:54.209 Ryan Brosas: Do you have any specific, like, target for Mother Duck? Like…
97 00:11:56.820 ⇒ 00:12:02.070 Ryan Brosas: Because, retail and e-commerce is kind of, like, really broad, if you want…
98 00:12:02.650 ⇒ 00:12:07.520 Ryan Brosas: If you want to, like, distill this down, like, for example, if you want to…
99 00:12:07.710 ⇒ 00:12:13.270 Ryan Brosas: Much more considered, like,
100 00:12:13.860 ⇒ 00:12:20.670 Ryan Brosas: Cooking… like, the cooking one? I’m not sure what is… what that… I forgot the company, but…
101 00:12:21.300 ⇒ 00:12:25.829 Ryan Brosas: You can also, like, add here, like, cool.
102 00:12:27.180 ⇒ 00:12:29.040 Ryan Brosas: I’m copying…
103 00:12:29.040 ⇒ 00:12:30.610 Luke Scorziell: I like Insomniac Cookie.
104 00:12:30.910 ⇒ 00:12:40.290 Ryan Brosas: Yeah, it’s all men, like… or CPD, or something that you want to, like, to target with…
105 00:12:41.710 ⇒ 00:12:49.039 Ryan Brosas: But… yeah, if you want… But this… It’s, like, a lot.
106 00:12:52.710 ⇒ 00:12:53.619 Ryan Brosas: Yeah, beer.
107 00:12:55.200 ⇒ 00:13:01.339 Ryan Brosas: So, it’s scraping, like, 25 per pages, so we have, like, plots on here.
108 00:13:01.580 ⇒ 00:13:02.380 Ryan Brosas: I think…
109 00:13:06.300 ⇒ 00:13:07.149 Ryan Brosas: -Oh, I think.
110 00:13:07.150 ⇒ 00:13:07.890 Luke Scorziell: Yeah.
111 00:13:07.890 ⇒ 00:13:15.460 Ryan Brosas: A lot of pages here, so it will, like… after that, I add here on… And play…
112 00:13:22.210 ⇒ 00:13:23.250 Ryan Brosas: Complete.
113 00:13:36.760 ⇒ 00:13:39.659 Luke Scorziell: If I mentioned anyone more specific, just retail.
114 00:13:41.140 ⇒ 00:13:41.780 Ryan Brosas: Yep.
115 00:13:51.360 ⇒ 00:14:01.230 Ryan Brosas: And after that, you can import here. But typically, like, what I will do here is, like, for example, just…
116 00:14:01.630 ⇒ 00:14:03.080 Ryan Brosas: Giving you, like…
117 00:14:03.390 ⇒ 00:14:11.390 Ryan Brosas: a, broad, like, an insight here, like, I do… I do add, like, enrichment here, and company.
118 00:14:12.430 ⇒ 00:14:20.329 Ryan Brosas: enrichment, for example, this, if you want to have, like, a bit much more,
119 00:14:20.660 ⇒ 00:14:24.390 Ryan Brosas: Details, you can use the waterfall.
120 00:14:24.650 ⇒ 00:14:39.790 Ryan Brosas: Merge the hell out of all, waterfall… I think, competitors… Here.
121 00:14:43.730 ⇒ 00:14:46.929 Ryan Brosas: Yeah, I think this is fine, I guess, company…
122 00:14:49.470 ⇒ 00:15:02.889 Ryan Brosas: Company enrichment, enrich company here. Then, after that, if it’s, if it’s, included on here, that they have, like, a link to their domain.
123 00:15:03.040 ⇒ 00:15:06.750 Ryan Brosas: On, sorry, there’s a lot of stuff even.
124 00:15:11.320 ⇒ 00:15:26.159 Ryan Brosas: in here, like, they include… the scraper includes the domain URL. It will also, like, automatically get all the stuff on the database of, like, clay.
125 00:15:26.520 ⇒ 00:15:33.820 Ryan Brosas: And it will provide you, like, a specific amount, how many… how, the ARR,
126 00:15:34.030 ⇒ 00:15:39.890 Ryan Brosas: The funding, and if they are, you know, they are private, or they are, you know.
127 00:15:41.520 ⇒ 00:15:45.179 Ryan Brosas: well, update or something. Yeah, I think,
128 00:15:45.360 ⇒ 00:15:55.220 Ryan Brosas: getting all the data front first, and, like, thinking of what is the fit for the campaign. For example, if we want to, like.
129 00:15:55.950 ⇒ 00:16:01.510 Ryan Brosas: Target, for, for example, these… For…
130 00:16:02.830 ⇒ 00:16:10.970 Ryan Brosas: I don’t want to call this, or mother duck. I think pretty much, the signal that you can do is, like,
131 00:16:11.520 ⇒ 00:16:16.459 Ryan Brosas: Like, we have a new, like, leadership on…
132 00:16:16.940 ⇒ 00:16:22.469 Ryan Brosas: the data manage… data management, or the… what do I call this?
133 00:16:22.610 ⇒ 00:16:28.699 Ryan Brosas: Or in the growth position, on the growth, like, growth department.
134 00:16:29.090 ⇒ 00:16:38.269 Ryan Brosas: But the penalty, that’s something I usually do before, but I think that’s not really, like, important at this moment.
135 00:16:38.370 ⇒ 00:16:43.369 Ryan Brosas: And also, like, you can also use also Apollo as well, if…
136 00:16:43.530 ⇒ 00:16:52.190 Ryan Brosas: That is something that, interesting… interests you as well. Like, they, they are, like, they are… they have, like, a signal.
137 00:16:52.600 ⇒ 00:16:55.340 Ryan Brosas: Button here that,
138 00:16:56.010 ⇒ 00:17:03.450 Ryan Brosas: the, the, like, if they are… if they are, like, looking… I think not looking, but they are doing automation.
139 00:17:03.940 ⇒ 00:17:09.700 Ryan Brosas: Or, if they are doing something like, you know, like, lead, though?
140 00:17:12.890 ⇒ 00:17:15.100 Ryan Brosas: And here, uses data analytics.
141 00:17:15.900 ⇒ 00:17:21.670 Ryan Brosas: And I think that’s something that is really interesting that we didn’t really fully utilize yet.
142 00:17:23.030 ⇒ 00:17:30.930 Ryan Brosas: But, yeah, I think that’s pretty much what… how I do it. Pretty much, I scrape it first.
143 00:17:31.740 ⇒ 00:17:41.880 Ryan Brosas: Richard later, after, like, like, if they are a good fit to… because the, the, what do you call this? The…
144 00:17:43.090 ⇒ 00:17:55.459 Ryan Brosas: link in Sales Nav, or what they are putting on… on the Sales Nav is not really accurate. Like, they are just putting, like, some amount of, like.
145 00:17:55.840 ⇒ 00:18:01.009 Ryan Brosas: Revenue, but when we enrich that, or, like, getting all the data from
146 00:18:01.130 ⇒ 00:18:05.290 Ryan Brosas: some sort of, like, database. It’s not…
147 00:18:06.320 ⇒ 00:18:18.529 Ryan Brosas: Like, it’s not, fit to our, like, 50 to 100. And also, like, if you want to add another layer, like, do you want to have, like.
148 00:18:18.810 ⇒ 00:18:20.589 Ryan Brosas: what do I call this?
149 00:18:21.990 ⇒ 00:18:32.800 Ryan Brosas: like, a headcount or something, like, 200 to 500 headcount, or… I think this is the safest, like.
150 00:18:33.240 ⇒ 00:18:44.080 Ryan Brosas: variables as, than the revenue, because, if you, if they already have, like, a lot, like, a huge headcount, they probably have this…
151 00:18:44.300 ⇒ 00:18:45.160 Ryan Brosas: Amount.
152 00:18:46.670 ⇒ 00:18:53.880 Ryan Brosas: So, yeah, I think that’s pretty much about how I will, like, add this to a brief or something.
153 00:18:54.740 ⇒ 00:18:57.720 Ryan Brosas: But yeah, what else?
154 00:19:00.000 ⇒ 00:19:03.590 Ryan Brosas: Hmm… I’m still holding here.
155 00:19:48.050 ⇒ 00:19:51.140 Luke Scorziell: Okay, so, yeah, I mean, I guess it’s just how do we figure out how to…
156 00:19:52.190 ⇒ 00:19:57.379 Luke Scorziell: Take this list of hundreds of companies and narrow it down to the point where we can…
157 00:20:00.760 ⇒ 00:20:01.670 Luke Scorziell: Good people.
158 00:20:13.580 ⇒ 00:20:22.790 Ryan Brosas: Also, we can also do some lookalikes. So, for example, if you want to do… look like…
159 00:20:24.660 ⇒ 00:20:26.380 Ryan Brosas: I’m very selective alone.
160 00:20:29.510 ⇒ 00:20:30.790 Ryan Brosas: Oh, God.
161 00:20:32.410 ⇒ 00:20:33.450 Ryan Brosas: I mean, you know…
162 00:20:53.460 ⇒ 00:20:58.690 Ryan Brosas: Company contribution is about… 20-25…
163 00:21:01.290 ⇒ 00:21:06.490 Luke Scorziell: What if… what’s, what about, like, Element? Could we try to do, like, A lookalike development.
164 00:21:24.040 ⇒ 00:21:25.890 Ryan Brosas: air.
165 00:21:28.040 ⇒ 00:21:28.690 Ryan Brosas: Rebeat.
166 00:21:30.620 ⇒ 00:21:34.479 Luke Scorziell: And then, could we do the revenue range from, like, 50 to 100 mil?
167 00:21:39.060 ⇒ 00:21:41.500 Luke Scorziell: I might have to take off the company size.
168 00:21:45.760 ⇒ 00:21:47.190 Luke Scorziell: Interesting, okay.
169 00:21:50.310 ⇒ 00:21:53.519 Luke Scorziell: What size are the companies that are… We got two.
170 00:21:54.420 ⇒ 00:21:55.439 Luke Scorziell: One of them is Russian.
171 00:21:56.730 ⇒ 00:22:03.800 Ryan Brosas: Yeah, you can also set the… Notification mode.
172 00:22:17.840 ⇒ 00:22:22.149 Ryan Brosas: No. So, all of them isn’t in U.S.
173 00:22:24.340 ⇒ 00:22:24.960 Ryan Brosas: Good morning.
174 00:22:25.690 ⇒ 00:22:30.890 Luke Scorziell: We could do, like, Insomnia Cookies, or what’s another retailer… retail client that we have?
175 00:22:36.820 ⇒ 00:22:37.550 Ryan Brosas: Almani.
176 00:22:50.100 ⇒ 00:22:51.230 Ryan Brosas: Air…
177 00:22:54.660 ⇒ 00:22:55.470 Ryan Brosas: Bye.
178 00:23:05.130 ⇒ 00:23:06.460 Ryan Brosas: Oh, no.
179 00:23:42.830 ⇒ 00:23:48.720 Luke Scorziell: Okay, so this… How big are these companies? Does that tell us, then, the size?
180 00:23:52.370 ⇒ 00:23:53.920 Ryan Brosas: E, mine.
181 00:23:56.380 ⇒ 00:23:57.350 Ryan Brosas: Okay…
182 00:24:00.430 ⇒ 00:24:05.720 Ryan Brosas: Shopify… Patients.
183 00:24:16.040 ⇒ 00:24:16.880 Ryan Brosas: Error.
184 00:24:22.590 ⇒ 00:24:25.899 Ryan Brosas: So, there are a few, but they are…
185 00:24:26.660 ⇒ 00:24:35.640 Ryan Brosas: I’m getting 10, 100 to 500, I’m… but if you want to, like, Double check this…
186 00:24:36.690 ⇒ 00:24:40.430 Luke Scorziell: Is this using the… this is using the list that we had on Sales Navigator?
187 00:24:41.310 ⇒ 00:24:45.410 Ryan Brosas: No, we haven’t gotten this yet.
188 00:24:45.750 ⇒ 00:24:49.659 Luke Scorziell: Oh, okay, so this is… it’s literally just using, like, its own database?
189 00:24:50.210 ⇒ 00:24:53.909 Ryan Brosas: Yeah, this is, like, the lookalike that we did earlier.
190 00:24:56.570 ⇒ 00:24:58.700 Luke Scorziell: Oh, you’ve already compiled these companies?
191 00:24:59.310 ⇒ 00:25:03.250 Ryan Brosas: No, you’re just… What we just did is, like.
192 00:25:03.630 ⇒ 00:25:10.560 Ryan Brosas: We did, like, another angle of, like, getting company, instead of, like, from directly on
193 00:25:10.660 ⇒ 00:25:22.210 Ryan Brosas: on LinkedIn, we just did, like, a lookalike. So a lookalike is, like, we put something, like, similar to…
194 00:25:22.840 ⇒ 00:25:25.720 Ryan Brosas: Drink element, insomnia.
195 00:25:25.900 ⇒ 00:25:34.740 Ryan Brosas: then we just filtered out, like, what we want, which is 500M to 100M, 100M, so basically,
196 00:25:34.960 ⇒ 00:25:41.609 Ryan Brosas: Ocean.io will, like, provide… All the similar,
197 00:25:41.610 ⇒ 00:25:44.080 Luke Scorziell: Oh, you can put all these in one thing.
198 00:25:44.080 ⇒ 00:25:51.510 Ryan Brosas: Yeah. So that’s much more like a distilled… much more distilled research for company, instead of, like.
199 00:25:51.940 ⇒ 00:25:53.870 Ryan Brosas: Getting it on…
200 00:25:54.430 ⇒ 00:26:06.779 Ryan Brosas: link in SalesNav, which is you need to distill this first before you want this to, you know, you want… before you want to get all the contact information.
201 00:26:07.920 ⇒ 00:26:08.720 Luke Scorziell: Yeah.
202 00:26:09.480 ⇒ 00:26:13.569 Luke Scorziell: Okay, could we also add, maybe, like, Honey Stinger onto there?
203 00:26:14.670 ⇒ 00:26:15.920 Ryan Brosas: on a stinger.
204 00:26:22.760 ⇒ 00:26:23.470 Ryan Brosas: Okay.
205 00:26:41.670 ⇒ 00:26:44.289 Luke Scorziell: Are we still working with Magic Spoon, or did we stop working with them?
206 00:26:44.880 ⇒ 00:26:45.659 Luke Scorziell: You know.
207 00:26:46.110 ⇒ 00:26:55.119 Ryan Brosas: I think we are handing off, I guess? We are ending our contract with them, I guess.
208 00:27:01.150 ⇒ 00:27:01.910 Ryan Brosas: Oh, gosh.
209 00:27:29.380 ⇒ 00:27:31.219 Luke Scorziell: Oh, there’s also Javi Coffee.
210 00:27:32.660 ⇒ 00:27:33.450 Luke Scorziell: Definitely.
211 00:27:33.450 ⇒ 00:27:34.100 Ryan Brosas: often.
212 00:28:03.470 ⇒ 00:28:05.230 Luke Scorziell: I’ll give you a couple other ones, too.
213 00:28:12.630 ⇒ 00:28:14.560 Luke Scorziell: Alright, so that brought up a lot more.
214 00:28:15.460 ⇒ 00:28:16.440 Ryan Brosas: Yep.
215 00:28:17.040 ⇒ 00:28:19.190 Luke Scorziell: So if we do the revenue bandwidth.
216 00:28:21.170 ⇒ 00:28:31.280 Ryan Brosas: Revenue… Expanding in here… And…
217 00:28:44.440 ⇒ 00:28:46.749 Luke Scorziell: And, I mean, there’s also Urban Stems.
218 00:28:58.560 ⇒ 00:29:00.299 Luke Scorziell: And VitaCoko.
219 00:29:19.610 ⇒ 00:29:22.099 Luke Scorziell: And then Growers, I don’t know what Growers is.
220 00:29:26.750 ⇒ 00:29:29.490 Ryan Brosas: Oh, I think this is not… bang.
221 00:29:33.080 ⇒ 00:29:33.950 Luke Scorziell: Okay.
222 00:29:33.950 ⇒ 00:29:42.460 Ryan Brosas: It’s not Coco… Not urban stem. It’s urban stem, like, unequalm. I think it’s our equal.
223 00:29:42.830 ⇒ 00:29:44.220 Luke Scorziell: Yeah, it’s like a flower.
224 00:29:44.540 ⇒ 00:29:45.400 Luke Scorziell: Good tolerate.
225 00:29:45.400 ⇒ 00:29:45.990 Ryan Brosas: Yay.
226 00:29:46.500 ⇒ 00:29:52.279 Luke Scorziell: And then, there’s pool parts to go to.
227 00:30:41.660 ⇒ 00:30:46.339 Luke Scorziell: And then if we do… Can you put the revenue at?
228 00:30:49.710 ⇒ 00:30:51.239 Ryan Brosas: There. It’s already here.
229 00:30:53.140 ⇒ 00:30:55.439 Luke Scorziell: Oh, it’s already in? From 100 to…
230 00:31:07.120 ⇒ 00:31:07.690 Ryan Brosas: Eric.
231 00:31:09.230 ⇒ 00:31:13.650 Luke Scorziell: Okay, so let’s get rid… let’s just do a 50 to 100 mil for now.
232 00:31:18.850 ⇒ 00:31:19.980 Luke Scorziell: That’s what that gives us.
233 00:31:31.120 ⇒ 00:31:33.290 Luke Scorziell: Oh, wait, is this the whole list, or is the other?
234 00:31:45.350 ⇒ 00:31:46.100 Ryan Brosas: You know…
235 00:32:12.670 ⇒ 00:32:15.430 Ryan Brosas: Here, behind, buds, behind.
236 00:32:20.130 ⇒ 00:32:21.310 Ryan Brosas: local goods.
237 00:32:25.770 ⇒ 00:32:27.129 Ryan Brosas: I’ll substitute for a clique.
238 00:32:29.250 ⇒ 00:32:30.350 Ryan Brosas: My 17th.
239 00:32:33.160 ⇒ 00:32:34.280 Ryan Brosas: What do you mean?
240 00:32:35.700 ⇒ 00:32:36.520 Ryan Brosas: Bingo.
241 00:32:39.320 ⇒ 00:32:43.120 Ryan Brosas: 6… Jen.
242 00:32:51.060 ⇒ 00:32:54.040 Ryan Brosas: Yeah, I think that’s… Pretty much it.
243 00:32:55.740 ⇒ 00:32:57.000 Luke Scorziell: There’s 14 companies.
244 00:32:58.240 ⇒ 00:32:58.810 Ryan Brosas: Yep.
245 00:32:59.890 ⇒ 00:33:06.240 Ryan Brosas: And we already… we also have this… skill.
246 00:33:07.240 ⇒ 00:33:08.750 Ryan Brosas: 950.
247 00:33:08.900 ⇒ 00:33:09.700 Ryan Brosas: Page.
248 00:33:11.010 ⇒ 00:33:12.370 Luke Scorziell: Bang. Okay.
249 00:33:14.380 ⇒ 00:33:21.320 Luke Scorziell: So… Now that we’ve found these… 14…
250 00:33:21.930 ⇒ 00:33:26.300 Luke Scorziell: We could go look for these profiles on… Sales Nav?
251 00:33:27.370 ⇒ 00:33:29.370 Ryan Brosas: Yep, that’s amazing.
252 00:33:30.320 ⇒ 00:33:34.980 Luke Scorziell: What are those numbers? Because those numbers look bigger than… Oh, nevermind.
253 00:33:49.690 ⇒ 00:33:50.600 Luke Scorziell: -Oh.
254 00:34:04.310 ⇒ 00:34:05.180 Ryan Brosas: form.
255 00:34:11.780 ⇒ 00:34:13.329 Ryan Brosas: There’s still none.
256 00:34:15.790 ⇒ 00:34:23.949 Ryan Brosas: So, another filter is… That’s my Twitter…
257 00:34:43.550 ⇒ 00:34:46.259 Ryan Brosas: Unknown. There’s no.
258 00:34:53.699 ⇒ 00:34:54.620 Ryan Brosas: That’s fine.
259 00:34:55.110 ⇒ 00:34:58.339 Ryan Brosas: So, here… And it’s see.
260 00:34:59.880 ⇒ 00:35:01.070 Ryan Brosas: 2 million.
261 00:35:16.430 ⇒ 00:35:17.120 Ryan Brosas: None.
262 00:35:24.400 ⇒ 00:35:25.470 Luke Scorziell: What are you doing now?
263 00:35:27.140 ⇒ 00:35:36.820 Ryan Brosas: This is the actual revenue. So, for example, we did enrich… from… this…
264 00:35:37.210 ⇒ 00:35:43.110 Ryan Brosas: So, we got all the necessary, like, huh?
265 00:35:43.730 ⇒ 00:35:44.910 Ryan Brosas: I call this…
266 00:35:45.280 ⇒ 00:35:58.110 Ryan Brosas: So, this is a waterfall enrichment, so we asked it for the actual revenue, because this is, like, plugging by 50 to 100 million, but without knowing what number it is.
267 00:35:58.280 ⇒ 00:36:03.269 Ryan Brosas: So, I think this is, like, just a… ballpark of…
268 00:36:03.640 ⇒ 00:36:05.850 Ryan Brosas: The revenue, and not the accurate…
269 00:36:06.340 ⇒ 00:36:21.709 Ryan Brosas: Data, so we asked, like, we added, like, a company revenue enrichment, so it’s, it’s a waterfall, so it will enrich on the first one, second, third, fourth, and fifth.
270 00:36:22.290 ⇒ 00:36:28.650 Ryan Brosas: Then we got all of this information, which is…
271 00:36:30.650 ⇒ 00:36:40.569 Ryan Brosas: Not after… not that, like, sync with the actual revenue that it provides us, so…
272 00:36:40.680 ⇒ 00:36:47.100 Ryan Brosas: We can remove all of those stuff, so we can have, like, a few much more…
273 00:36:47.290 ⇒ 00:36:54.570 Ryan Brosas: Companies to target with, instead of, like, targeting, them all.
274 00:36:55.360 ⇒ 00:36:58.109 Ryan Brosas: This is… 10 million.
275 00:37:01.840 ⇒ 00:37:03.120 Ryan Brosas: A 60 minimum.
276 00:37:04.800 ⇒ 00:37:05.840 Ryan Brosas: Okay.
277 00:37:08.050 ⇒ 00:37:09.459 Ryan Brosas: Okay, that’s fine.
278 00:37:10.000 ⇒ 00:37:11.350 Luke Scorziell: Up was, like, 2 billion.
279 00:37:16.940 ⇒ 00:37:17.790 Ryan Brosas: immensely.
280 00:37:18.270 ⇒ 00:37:20.150 Ryan Brosas: Then we have this one.
281 00:37:20.920 ⇒ 00:37:25.660 Ryan Brosas: You can get this… I’m putting in this.
282 00:37:40.060 ⇒ 00:37:45.900 Ryan Brosas: And… people.
283 00:37:52.480 ⇒ 00:37:54.070 Ryan Brosas: of operation.
284 00:38:10.140 ⇒ 00:38:17.230 Ryan Brosas: Then… You get this height of operation.
285 00:38:18.940 ⇒ 00:38:21.909 Ryan Brosas: Then you can expound this more.
286 00:38:48.030 ⇒ 00:38:50.120 Ryan Brosas: Nurse Director of IT.
287 00:39:18.300 ⇒ 00:39:19.580 Ryan Brosas: That’s feeling…
288 00:39:23.350 ⇒ 00:39:25.140 Ryan Brosas: It’s not only picks.
289 00:39:31.900 ⇒ 00:39:33.449 Ryan Brosas: All leads, okay.
290 00:39:36.370 ⇒ 00:39:37.850 Ryan Brosas: Get that into…
291 00:39:43.210 ⇒ 00:39:45.169 Ryan Brosas: It analytics indeed.
292 00:39:45.620 ⇒ 00:39:47.070 Ryan Brosas: Okay, let’s…
293 00:40:07.890 ⇒ 00:40:10.130 Ryan Brosas: No need to… I mean…
294 00:40:14.260 ⇒ 00:40:16.520 Ryan Brosas: That’s… it’s…
295 00:40:22.480 ⇒ 00:40:26.099 Ryan Brosas: Okay, that’s… All of this.
296 00:40:33.950 ⇒ 00:40:35.090 Ryan Brosas: CFO.
297 00:40:37.220 ⇒ 00:40:38.350 Ryan Brosas: Let’s roll.
298 00:40:38.630 ⇒ 00:40:39.930 Ryan Brosas: B-O-O…
299 00:40:50.640 ⇒ 00:41:03.689 Ryan Brosas: Here, here is your first… list… Then… They can also include Netflix.
300 00:41:12.990 ⇒ 00:41:13.690 Ryan Brosas: Us.
301 00:41:15.370 ⇒ 00:41:24.699 Ryan Brosas: I said that you already have a list for Windstone, Clovers, AeroPress, Armless.
302 00:41:25.490 ⇒ 00:41:29.650 Ryan Brosas: I’m going to save this to new tables, but…
303 00:41:29.870 ⇒ 00:41:34.759 Ryan Brosas: I’m just going to save this, and you can also walk through to how to enrich,
304 00:41:39.560 ⇒ 00:41:41.560 Ryan Brosas: Person suggestion.
305 00:41:53.310 ⇒ 00:41:54.770 Ryan Brosas: That’s good.
306 00:41:55.340 ⇒ 00:41:56.799 Ryan Brosas: It’s a good addition.
307 00:42:07.910 ⇒ 00:42:12.780 Ryan Brosas: Nice. It’s just good for… Okay, Mr.
308 00:42:13.390 ⇒ 00:42:14.120 Ryan Brosas: Nope.
309 00:42:16.710 ⇒ 00:42:17.670 Ryan Brosas: Yang.
310 00:42:18.390 ⇒ 00:42:20.519 Ryan Brosas: And… I mean, it’s…
311 00:42:26.030 ⇒ 00:42:26.710 Ryan Brosas: Nope.
312 00:42:27.310 ⇒ 00:42:28.300 Ryan Brosas: Unlike…
313 00:42:33.990 ⇒ 00:42:38.570 Ryan Brosas: Blue… Get on top of us.
314 00:42:45.300 ⇒ 00:42:46.880 Ryan Brosas: Alright, so sweet.
315 00:42:57.000 ⇒ 00:42:59.119 Ryan Brosas: Okay, this is good.
316 00:43:20.700 ⇒ 00:43:23.380 Ryan Brosas: That one… enrich.
317 00:43:25.850 ⇒ 00:43:27.380 Ryan Brosas: I’m currently here.
318 00:43:28.900 ⇒ 00:43:33.539 Ryan Brosas: It’s… And it’s not…
319 00:43:36.890 ⇒ 00:43:38.420 Ryan Brosas: Not caring, but…
320 00:43:48.440 ⇒ 00:43:49.790 Ryan Brosas: How many?
321 00:43:54.670 ⇒ 00:43:56.670 Ryan Brosas: So, this is too many.
322 00:43:58.610 ⇒ 00:44:01.210 Ryan Brosas: A thousand… projects.
323 00:44:04.570 ⇒ 00:44:05.480 Ryan Brosas: Okay.
324 00:44:05.900 ⇒ 00:44:11.520 Ryan Brosas: So, we can just do… A hundred…
325 00:44:18.950 ⇒ 00:44:20.679 Ryan Brosas: 100 here.
326 00:44:29.090 ⇒ 00:44:29.979 Ryan Brosas: Hang on.
327 00:44:30.880 ⇒ 00:44:37.120 Ryan Brosas: Nothing bone… marriage, so… on more revenue.
328 00:44:37.520 ⇒ 00:44:39.250 Ryan Brosas: For example, this…
329 00:44:42.380 ⇒ 00:44:43.080 Ryan Brosas: Yes.
330 00:44:49.510 ⇒ 00:44:52.900 Ryan Brosas: This was… denial, I apologize.
331 00:44:55.010 ⇒ 00:44:55.740 Ryan Brosas: Oops.
332 00:45:02.150 ⇒ 00:45:10.569 Ryan Brosas: A million… So this is… This is providing the correct…
333 00:45:10.740 ⇒ 00:45:17.890 Ryan Brosas: Annual revenue, then we can just filter out Like, the lower…
334 00:45:18.370 ⇒ 00:45:21.360 Ryan Brosas: I’m not sure what is the lower here, but…
335 00:45:23.070 ⇒ 00:45:27.210 Luke Scorziell: I mean, I think we’re trying to target brands that are, like.
336 00:45:27.560 ⇒ 00:45:30.659 Luke Scorziell: Moving across the $100 million threshold point.
337 00:45:31.580 ⇒ 00:45:37.130 Luke Scorziell: So… I… Ideally, anywhere between, like, 75 and 100 is probably the best.
338 00:45:38.590 ⇒ 00:45:40.219 Ryan Brosas: 75, okay.
339 00:45:42.180 ⇒ 00:45:44.080 Ryan Brosas: Annual revenue.
340 00:45:48.010 ⇒ 00:45:49.510 Ryan Brosas: What’s really…
341 00:46:35.650 ⇒ 00:46:36.680 Ryan Brosas: Air.
342 00:46:37.720 ⇒ 00:46:58.060 Ryan Brosas: From 100, we have them as… 6 to 3… Again, bone, mushkin, E3, Okay… Fatmatics.
343 00:46:59.860 ⇒ 00:47:07.159 Ryan Brosas: Then… Is this fine? Like, 25 to 75 million, right?
344 00:47:09.130 ⇒ 00:47:12.190 Luke Scorziell: We’d probably be wanting, like, 75 to 100 million.
345 00:47:13.760 ⇒ 00:47:15.410 Ryan Brosas: 75, so I guess…
346 00:47:16.100 ⇒ 00:47:17.910 Luke Scorziell: Sorry, I might… yeah. Wow.
347 00:47:50.190 ⇒ 00:47:51.000 Ryan Brosas: range.
348 00:49:22.400 ⇒ 00:49:30.080 Ryan Brosas: Okay, that’s fine. Let’s go with… this… Not dying.
349 00:49:36.980 ⇒ 00:49:38.269 Ryan Brosas: I don’t know.
350 00:49:53.880 ⇒ 00:49:54.610 Ryan Brosas: niche.
351 00:50:06.430 ⇒ 00:50:12.199 Ryan Brosas: Okay, that’s good. Maybe that’s… Oh, I’m gonna…
352 00:50:44.220 ⇒ 00:50:48.869 Ryan Brosas: This is fine. Walmart.
353 00:50:50.260 ⇒ 00:50:51.130 Ryan Brosas: Hang.
354 00:50:51.780 ⇒ 00:50:52.570 Ryan Brosas: Yum.
355 00:51:23.580 ⇒ 00:51:24.340 Ryan Brosas: Hmm.
356 00:51:57.090 ⇒ 00:51:59.590 Ryan Brosas: Enrichment sent to table.
357 00:52:03.470 ⇒ 00:52:04.470 Ryan Brosas: Okay.
358 00:52:11.390 ⇒ 00:52:15.360 Ryan Brosas: I’m not talking… I’m not sure.
359 00:52:16.650 ⇒ 00:52:18.210 Ryan Brosas: I mean, it’s…
360 00:52:56.990 ⇒ 00:52:58.440 Ryan Brosas: That’s fine.
361 00:53:10.120 ⇒ 00:53:14.309 Ryan Brosas: And after this… Find people…
362 00:53:19.380 ⇒ 00:53:20.480 Ryan Brosas: I am…
363 00:53:24.610 ⇒ 00:53:31.640 Ryan Brosas: Then face… on job title… Adult operations…
364 00:53:38.650 ⇒ 00:53:46.210 Ryan Brosas: Character of IT… And BP operations…
365 00:53:54.260 ⇒ 00:53:58.690 Luke Scorziell: It’d be, like, a little bit… Wary of those titles over…
366 00:54:00.100 ⇒ 00:54:00.860 Ryan Brosas: Sorry?
367 00:54:01.780 ⇒ 00:54:04.760 Luke Scorziell: Those titles are fine, but I think a lot,
368 00:54:08.110 ⇒ 00:54:09.950 Luke Scorziell: Yeah, tech titles are gonna be better.
369 00:54:16.470 ⇒ 00:54:17.970 Ryan Brosas: internally.
370 00:54:34.040 ⇒ 00:54:35.830 Ryan Brosas: like, CTO or something?
371 00:54:37.650 ⇒ 00:54:44.609 Luke Scorziell: Yeah, CTO or, like, VP of Tech. I mean, I guess it just depends, because a lot of these are going to be smaller companies that might not have, like, a…
372 00:54:45.130 ⇒ 00:54:47.199 Luke Scorziell: Super built-out technical team yet.
373 00:54:57.030 ⇒ 00:54:57.610 Luke Scorziell: Right.
374 00:54:58.640 ⇒ 00:55:03.870 Luke Scorziell: Updating my… Schedule, so I get paid.
375 00:55:14.560 ⇒ 00:55:15.400 Ryan Brosas: I mean…
376 00:55:19.320 ⇒ 00:55:22.730 Ryan Brosas: Oh, shit.
377 00:55:47.230 ⇒ 00:55:53.220 Ryan Brosas: Oh, you got 50 or more, I guess. Let me check.
378 00:55:53.500 ⇒ 00:55:56.229 Ryan Brosas: Enriched person, so I’m listening in.
379 00:55:57.730 ⇒ 00:55:59.210 Ryan Brosas: So it’s 10…
380 00:56:02.400 ⇒ 00:56:05.420 Ryan Brosas: Oh, mate, we have lots of skids here.
381 00:56:13.930 ⇒ 00:56:15.800 Ryan Brosas: 592.
382 00:56:21.340 ⇒ 00:56:23.350 Ryan Brosas: Ellen, we have…
383 00:56:32.930 ⇒ 00:56:41.200 Ryan Brosas: then… I think that’s pretty much it. Basically, it kind of involves Sales Nav as well.
384 00:56:41.400 ⇒ 00:56:44.319 Ryan Brosas: But if it’s, like, the lease is kind of, like.
385 00:56:44.810 ⇒ 00:56:49.640 Ryan Brosas: Pretty broad, like, for example, the list that we have.
386 00:56:50.130 ⇒ 00:56:59.760 Ryan Brosas: For example, like, this one, I think I enriched only… Like, 200 on this list?
387 00:57:00.230 ⇒ 00:57:07.180 Ryan Brosas: And guess… I just looked for, like, like, a, like, what do you call this?
388 00:57:07.840 ⇒ 00:57:23.560 Ryan Brosas: a way to not spend all our credits on all of these, so I… I sent this to another table to just focus on enriching, or getting all the stuff that we have for here, like…
389 00:57:25.150 ⇒ 00:57:28.720 Ryan Brosas: Alright, this one, the one that we’ve sent.
390 00:57:29.000 ⇒ 00:57:36.339 Ryan Brosas: Another one that we have, like, 100B, 75 to 200M.
391 00:57:37.530 ⇒ 00:57:41.130 Ryan Brosas: And then enrich them… like…
392 00:57:42.880 ⇒ 00:57:51.439 Ryan Brosas: Readying the list for getting all the contact lists, pretty much. Then getting all the contact information here.
393 00:57:56.270 ⇒ 00:57:59.520 Ryan Brosas: So there’s, like, a step-by-step, in order.
394 00:58:01.670 ⇒ 00:58:03.320 Ryan Brosas: No, the same.
395 00:58:14.060 ⇒ 00:58:15.020 Ryan Brosas: And…
396 00:58:19.240 ⇒ 00:58:20.160 Ryan Brosas: Lifting.
397 00:58:21.210 ⇒ 00:58:22.020 Ryan Brosas: Three.
398 00:58:24.320 ⇒ 00:58:25.939 Luke Scorziell: Other than this is the list that you had…
399 00:58:26.400 ⇒ 00:58:29.189 Luke Scorziell: We would do emails and LinkedIn connections to you?
400 00:58:29.920 ⇒ 00:58:34.320 Ryan Brosas: Yep, pretty much, so…
401 00:58:34.490 ⇒ 00:58:47.950 Ryan Brosas: For here, we already got all the link and profile. Now, if you want to turn this into, like, email… email campaign as well, you need to add, like, full and reach.
402 00:58:49.960 ⇒ 00:58:50.870 Ryan Brosas: H.
403 00:58:51.890 ⇒ 00:58:54.640 Ryan Brosas: Then… find park email.
404 00:58:56.000 ⇒ 00:58:58.939 Ryan Brosas: Then you can assert all those.
405 00:59:06.010 ⇒ 00:59:08.330 Luke Scorziell: So how many people? You said there’s, like, 200 here?
406 00:59:08.840 ⇒ 00:59:09.440 Luke Scorziell: Oh, no.
407 00:59:09.440 ⇒ 00:59:11.599 Ryan Brosas: We’ve got…
408 00:59:13.970 ⇒ 00:59:14.780 Luke Scorziell: So, like…
409 00:59:16.280 ⇒ 00:59:24.760 Ryan Brosas: This is, like, 200 plus companies, so we got, like, from 200-plus companies, we got 592 contacts.
410 00:59:25.920 ⇒ 00:59:29.830 Ryan Brosas: That is more of, like, data engineering, operation manager.
411 00:59:29.980 ⇒ 00:59:37.920 Ryan Brosas: Director of Operation, Director of IT, Senior Data Engineer.
412 00:59:38.840 ⇒ 00:59:41.359 Ryan Brosas: Senior Director of Operation.
413 00:59:42.430 ⇒ 00:59:45.070 Ryan Brosas: Omni… oh, well, Operation Manager.
414 00:59:47.390 ⇒ 00:59:53.800 Ryan Brosas: Operation Manager, but yeah, that’s pretty much how I do the con… the lease.
415 00:59:54.360 ⇒ 01:00:09.830 Ryan Brosas: But if you have, like, any, you know, like, feedback of how to distill this more, let me know so I can apply that to the, you know, to the actual workflow. Because for me, I just…
416 01:00:09.990 ⇒ 01:00:20.510 Ryan Brosas: I just… for example, for an angle, I start with, like, a lookalike angle, and then getting all the revenue first, but after that, I will base…
417 01:00:20.860 ⇒ 01:00:24.400 Ryan Brosas: All of these to get all the contacts.
418 01:00:24.590 ⇒ 01:00:32.690 Ryan Brosas: So, if we are targeting, that, like, a company like Winston Flower, we already got, like, evaporate.
419 01:00:32.950 ⇒ 01:00:44.100 Ryan Brosas: chief operating officer, officer, and, like, director, CFO. This is kind of, like, I’m basing on this, so I didn’t really add any technical
420 01:00:44.310 ⇒ 01:00:50.710 Ryan Brosas: Position here, but we can also, like, adjust and, like, get all those as well.
421 01:00:50.980 ⇒ 01:00:57.740 Luke Scorziell: So the first… so this list is the lookalike list, and then the second list is from… the LinkedIn.
422 01:00:58.310 ⇒ 01:00:58.840 Ryan Brosas: Yep.
423 01:00:59.840 ⇒ 01:01:05.910 Luke Scorziell: Okay, so this first list… I mean, probably the CFOs…
424 01:01:10.120 ⇒ 01:01:12.880 Luke Scorziell: Are not great, but,
425 01:01:19.970 ⇒ 01:01:24.469 Luke Scorziell: You good? Okay, so… so we could run a campaign specifically to these guys?
426 01:01:26.140 ⇒ 01:01:29.050 Ryan Brosas: Yeah, oh, we can, like…
427 01:01:30.940 ⇒ 01:01:38.170 Ryan Brosas: export them, run it to HayReach if we want to use, like.
428 01:01:39.860 ⇒ 01:01:54.189 Ryan Brosas: like, what I call this, Utam or Robert’s account. If you’re the… if you want to also, like, do emails as well, we can also, like, add another, like, steps here to add or get
429 01:01:54.460 ⇒ 01:01:56.050 Ryan Brosas: Emails as well.
430 01:01:57.400 ⇒ 01:02:04.980 Ryan Brosas: And same with the other one that we have. We got… we got this from LinkedIn.
431 01:02:05.860 ⇒ 01:02:13.469 Ryan Brosas: I didn’t really, like… Here, the headline and such.
432 01:02:15.480 ⇒ 01:02:22.720 Ryan Brosas: And… Yeah, I think that’s pretty much… It,
433 01:02:23.590 ⇒ 01:02:30.299 Ryan Brosas: So yeah, I think, this is pretty much it. If you have any, like, suggestions of, like.
434 01:02:30.440 ⇒ 01:02:32.260 Ryan Brosas: How we can run this.
435 01:02:32.420 ⇒ 01:02:33.889 Ryan Brosas: Pretty much smoothly.
436 01:02:34.020 ⇒ 01:02:35.260 Ryan Brosas: Or, like…
437 01:02:35.500 ⇒ 01:02:44.989 Ryan Brosas: a job title that we want to target more, let me know. Because the first one is kind of like, I just face it on this…
438 01:02:46.060 ⇒ 01:02:52.680 Ryan Brosas: But if you want to add, like, technical as the second list that we did.
439 01:02:53.140 ⇒ 01:03:01.290 Ryan Brosas: This is much… this is much more like CTO… developer… Adl…
440 01:03:01.290 ⇒ 01:03:05.240 Luke Scorziell: seems potentially more… more relevant, with the…
441 01:03:05.640 ⇒ 01:03:08.230 Luke Scorziell: I don’t know, all the operations…
442 01:03:09.130 ⇒ 01:03:11.570 Luke Scorziell: Managers seem like they might not be.
443 01:03:12.560 ⇒ 01:03:15.440 Ryan Brosas: Okay, then we can add that to filter, like…
444 01:03:17.190 ⇒ 01:03:21.619 Luke Scorziell: It looked like one of the operations managers, like, worked specifically on Omni Analytics.
445 01:03:22.050 ⇒ 01:03:23.099 Luke Scorziell: Was that…
446 01:03:23.320 ⇒ 01:03:25.550 Luke Scorziell: What that… I don’t know, I don’t know what that meant.
447 01:03:25.840 ⇒ 01:03:29.010 Luke Scorziell: Like, the Omni Operations Manager, and then it looked like there were also…
448 01:03:30.690 ⇒ 01:03:32.159 Ryan Brosas: Yeah, yeah, Omni.
449 01:03:39.260 ⇒ 01:03:40.540 Ryan Brosas: Omnichannel.
450 01:03:42.280 ⇒ 01:03:43.270 Luke Scorziell: Oh, -oh.
451 01:03:49.110 ⇒ 01:03:52.239 Ryan Brosas: Omni Operation, Omni Fulfillment Operation Management.
452 01:03:52.240 ⇒ 01:03:54.590 Luke Scorziell: It’s still the manager’s probably too low.
453 01:03:55.450 ⇒ 01:04:01.990 Luke Scorziell: But wait, okay, omni Fulfillment, operations manager stuff.
454 01:04:02.820 ⇒ 01:04:05.410 Luke Scorziell: Senior Operations Manager, Senior Omnia.
455 01:04:06.840 ⇒ 01:04:11.229 Luke Scorziell: Okay, I’m assuming that is not, then, really. We need BI and data engineer.
456 01:04:11.800 ⇒ 01:04:14.070 Luke Scorziell: But we’re working on this for Mother Duck.
457 01:04:26.860 ⇒ 01:04:28.200 Luke Scorziell: So…
458 01:04:37.960 ⇒ 01:04:40.809 Luke Scorziell: Yeah, someone that’s working in BI is good.
459 01:04:43.400 ⇒ 01:04:45.459 Ryan Brosas: Yeah, and data analytics.
460 01:04:53.080 ⇒ 01:04:57.120 Luke Scorziell: But, yeah, like, I don’t know, direct… director of IT…
461 01:04:57.640 ⇒ 01:05:00.009 Luke Scorziell: I mean, we can just shoot with this list.
462 01:05:02.370 ⇒ 01:05:03.779 Luke Scorziell: Let’s see…
463 01:05:05.460 ⇒ 01:05:06.170 Ryan Brosas: Thank you.
464 01:05:24.630 ⇒ 01:05:29.929 Ryan Brosas: You’re corrupt IT. Should we remove all… most of the operation manager?
465 01:05:40.060 ⇒ 01:05:41.920 Luke Scorziell: I was trying to set up a call with him.
466 01:05:42.600 ⇒ 01:05:43.720 Luke Scorziell: Let me drizzle.
467 01:06:13.130 ⇒ 01:06:19.050 Luke Scorziell: Hmm… Yeah, Director of IT, for sure.
468 01:06:29.540 ⇒ 01:06:31.110 Luke Scorziell: And who’s buying?
469 01:06:33.230 ⇒ 01:06:37.239 Luke Scorziell: Definitely IT directors. I mean, IT directors are probably gonna be the most…
470 01:06:42.690 ⇒ 01:06:45.149 Luke Scorziell: If we have this many people, we might as well try to…
471 01:07:05.980 ⇒ 01:07:07.260 Luke Scorziell: It contains…
472 01:07:21.080 ⇒ 01:07:22.790 Luke Scorziell: So is that 30 people?
473 01:07:24.610 ⇒ 01:07:36.760 Ryan Brosas: 29, but… yeah. What… well, almost like… If the word has IT, For example, principal architect
474 01:07:37.320 ⇒ 01:07:39.420 Ryan Brosas: It will select show here.
475 01:07:41.850 ⇒ 01:07:44.650 Luke Scorziell: Well, that’s… I mean, in this case, it’s fine, because…
476 01:07:45.300 ⇒ 01:07:47.419 Ryan Brosas: I did, because… Oh.
477 01:07:47.420 ⇒ 01:07:48.030 Luke Scorziell: Yeah.
478 01:07:49.270 ⇒ 01:07:58.050 Luke Scorziell: Okay, so, I mean, like, you already have the judgment to see, like, director of IT,
479 01:07:59.060 ⇒ 01:08:01.019 Luke Scorziell: Principal Data Architect.
480 01:08:01.420 ⇒ 01:08:09.890 Luke Scorziell: like, I don’t know, like, you… I feel like you have some gut instinct, probably, right, on which of these are not good. Like, I feel like Senior Creative Operations Manager is probably not the right fit.
481 01:08:11.430 ⇒ 01:08:14.350 Luke Scorziell: data architect, or senior data architect, I would say.
482 01:08:16.140 ⇒ 01:08:19.149 Luke Scorziell: It’s probably… There’s… probably some fit.
483 01:08:20.800 ⇒ 01:08:23.330 Ryan Brosas: Yeah, some fit, because, architect…
484 01:08:23.640 ⇒ 01:08:40.289 Ryan Brosas: Well, if we’re going to… well, if we’re going to, like, highlight Mother Duck, I think they would probably going to be interested on that, because, you know, they are proactively, like, you know, looking for a stock or something.
485 01:08:40.620 ⇒ 01:08:54.539 Ryan Brosas: And, yeah, I think that’s… we can distill it with this kind of, like, more on technicalities, or… or more on the, you know, data and analytical roles.
486 01:08:54.960 ⇒ 01:08:57.099 Luke Scorziell: Yeah, so I guess what I’m saying is, like.
487 01:08:58.140 ⇒ 01:09:00.720 Luke Scorziell: I mean, I’ll do the… I’m kind of doing this with you now.
488 01:09:00.830 ⇒ 01:09:03.240 Luke Scorziell: But just in the future, too, like, I think…
489 01:09:04.080 ⇒ 01:09:09.430 Luke Scorziell: You know, so, like, credit operations, like, I don’t know if we delete these from the list, but…
490 01:09:10.100 ⇒ 01:09:14.649 Luke Scorziell: Since this is just filtering, but, like, this seems like a pretty good…
491 01:09:15.180 ⇒ 01:09:17.019 Luke Scorziell: Pretty good start, at least with the…
492 01:09:17.729 ⇒ 01:09:20.269 Luke Scorziell: Director of IT and the data people in here.
493 01:09:20.750 ⇒ 01:09:24.640 Luke Scorziell: And I’d be curious to also add in people that have, like, BI.
494 01:09:25.140 ⇒ 01:09:26.419 Luke Scorziell: And their titles.
495 01:09:34.870 ⇒ 01:09:36.379 Luke Scorziell: Probably add a filter, right?
496 01:09:58.080 ⇒ 01:09:59.629 Ryan Brosas: VI architect.
497 01:10:00.740 ⇒ 01:10:03.299 Luke Scorziell: Wait, so go back to the filters, can you create, like…
498 01:10:03.990 ⇒ 01:10:05.810 Luke Scorziell: Or OR, yeah, change it to OR.
499 01:10:12.570 ⇒ 01:10:14.590 Luke Scorziell: Maybe add another one that just says data.
500 01:10:16.610 ⇒ 01:10:17.480 Luke Scorziell: Alright.
501 01:10:17.870 ⇒ 01:10:20.410 Luke Scorziell: And, and so, yeah, well, that’s fine.
502 01:10:27.900 ⇒ 01:10:28.540 Ryan Brosas: B.
503 01:10:28.680 ⇒ 01:10:29.380 Ryan Brosas: Huh.
504 01:10:32.580 ⇒ 01:10:39.179 Ryan Brosas: Yeah, I think I can just, filter this out, then I can send the whole stuff.
505 01:10:40.050 ⇒ 01:10:40.400 Luke Scorziell: Yeah.
506 01:10:40.400 ⇒ 01:10:47.090 Ryan Brosas: Pretty much more on, if you want this to be much more, like, focusing on
507 01:10:47.240 ⇒ 01:10:55.460 Ryan Brosas: technical or technology peeps, I can, I can send that over to you, and, then you can…
508 01:10:55.600 ⇒ 01:11:04.309 Ryan Brosas: Like, Approve or disapprove if, you know, it’s not… fit on… For our campaign and such.
509 01:11:06.080 ⇒ 01:11:07.010 Luke Scorziell: Okay…
510 01:11:13.340 ⇒ 01:11:15.209 Luke Scorziell: Okay, yeah, this seems…
511 01:11:15.920 ⇒ 01:11:20.649 Luke Scorziell: pretty good. I mean, I guess the goal is to just start getting emails out and…
512 01:11:21.590 ⇒ 01:11:23.600 Luke Scorziell: What do our messaging speak to?
513 01:11:27.340 ⇒ 01:11:33.060 Luke Scorziell: So I would go with those titles more over Operations Manager, so I don’t know that Operations Managers are going to be super involved.
514 01:11:35.600 ⇒ 01:11:37.550 Ryan Brosas: And, definitely.
515 01:11:38.420 ⇒ 01:11:39.520 Ryan Brosas: Remove that.
516 01:11:39.920 ⇒ 01:11:41.030 Ryan Brosas: Excellent.
517 01:11:45.350 ⇒ 01:11:46.290 Ryan Brosas: Okay.
518 01:12:02.500 ⇒ 01:12:04.400 Luke Scorziell: Oh, I don’t know, okay.
519 01:12:04.730 ⇒ 01:12:12.360 Luke Scorziell: These are the two. So, Director of IT, Senior Director of IT, number one, Head of Operations, VP of Operations.
520 01:12:12.620 ⇒ 01:12:20.780 Luke Scorziell: So I guess if we have, like, non-operation… like, operations manager, I don’t think is right, but direct… we could try a director or head of operations.
521 01:12:21.350 ⇒ 01:12:23.150 Luke Scorziell: Or VP of Operations.
522 01:12:23.520 ⇒ 01:12:26.149 Luke Scorziell: And then data lead or analytics lead.
523 01:12:35.220 ⇒ 01:12:36.040 Luke Scorziell: So, yeah.
524 01:13:58.590 ⇒ 01:13:59.450 Ryan Brosas: clean.
525 01:13:59.890 ⇒ 01:14:01.250 Ryan Brosas: We’re human.
526 01:14:05.500 ⇒ 01:14:06.950 Ryan Brosas: I, T…
527 01:15:49.390 ⇒ 01:15:51.550 Ryan Brosas: Hey, that’s ideal.
528 01:15:58.930 ⇒ 01:15:59.610 Ryan Brosas: No?
529 01:15:59.900 ⇒ 01:16:00.939 Ryan Brosas: I think so.
530 01:16:28.150 ⇒ 01:16:30.070 Ryan Brosas: My insurance manager.
531 01:17:30.700 ⇒ 01:17:31.390 Ryan Brosas: Okay.
532 01:17:32.590 ⇒ 01:17:33.560 Ryan Brosas: Aww.
533 01:17:35.960 ⇒ 01:17:41.129 Ryan Brosas: Now, it only has the Director of Operations.
534 01:17:41.760 ⇒ 01:17:53.709 Ryan Brosas: And… Bp… And… More technical roles.
535 01:17:56.810 ⇒ 01:18:04.130 Ryan Brosas: I think now it’s much more cleaner. We already cleaned up, so should we include director as well?
536 01:18:04.330 ⇒ 01:18:06.859 Ryan Brosas: To not… to target.
537 01:18:08.920 ⇒ 01:18:13.769 Luke Scorziell: Do we have a lot of, VP of Operations?
538 01:18:14.400 ⇒ 01:18:21.249 Ryan Brosas: Yeah, we have here, Director of Operations, And… yeah, beef.
539 01:18:22.050 ⇒ 01:18:23.200 Ryan Brosas: Operations.
540 01:18:23.440 ⇒ 01:18:26.100 Ryan Brosas: I am not that that’s not meaningful.
541 01:18:26.520 ⇒ 01:18:30.280 Luke Scorziell: Yeah, I think, like, Facility Director of Operations Industry… well…
542 01:18:31.080 ⇒ 01:18:33.890 Luke Scorziell: It’s just hard to know, like, every company’s a little different.
543 01:18:36.900 ⇒ 01:18:38.470 Luke Scorziell: I’m still learning.
544 01:18:39.300 ⇒ 01:18:41.250 Ryan Brosas: Analytics Manager…
545 01:20:35.060 ⇒ 01:20:36.430 Ryan Brosas: Yeah.
546 01:20:56.140 ⇒ 01:20:57.350 Ryan Brosas: Okay, that’s fine.
547 01:20:58.490 ⇒ 01:20:59.629 Ryan Brosas: What do you think?
548 01:21:03.590 ⇒ 01:21:06.090 Luke Scorziell: You got rid of all these? Or wait? Sorry.
549 01:21:06.090 ⇒ 01:21:08.100 Ryan Brosas: Should we remove all this?
550 01:21:11.530 ⇒ 01:21:12.430 Luke Scorziell: How many are there?
551 01:21:14.160 ⇒ 01:21:17.570 Ryan Brosas: You know, this is… Mike.
552 01:21:18.520 ⇒ 01:21:20.849 Luke Scorziell: How many do we have total on the list? Like, 200 still?
553 01:21:22.070 ⇒ 01:21:32.930 Ryan Brosas: We have… with Director, we still have… 2… 188.
554 01:21:35.660 ⇒ 01:21:37.380 Luke Scorziell: So this’ll take us down to, like, 130.
555 01:21:39.190 ⇒ 01:21:40.320 Ryan Brosas: We can…
556 01:21:40.740 ⇒ 01:21:42.410 Luke Scorziell: I mean, how many emails do we have to send?
557 01:21:47.540 ⇒ 01:21:48.440 Ryan Brosas: And…
558 01:21:54.790 ⇒ 01:21:55.590 Ryan Brosas: None.
559 01:22:02.140 ⇒ 01:22:03.370 Luke Scorziell: I’m a little torn.
560 01:22:03.780 ⇒ 01:22:05.980 Luke Scorziell: I mean, I don’t know.
561 01:22:11.280 ⇒ 01:22:13.720 Ryan Brosas: I think I’ll just include the senior one instead.
562 01:22:13.720 ⇒ 01:22:14.280 Luke Scorziell: complex.
563 01:22:14.280 ⇒ 01:22:15.160 Ryan Brosas: the whole…
564 01:22:48.080 ⇒ 01:22:48.770 Ryan Brosas: Okay.
565 01:22:49.930 ⇒ 01:22:52.460 Ryan Brosas: So, we have…
566 01:22:57.710 ⇒ 01:22:58.310 Luke Scorziell: One…
567 01:22:58.310 ⇒ 01:22:59.000 Ryan Brosas: Party.
568 01:23:03.660 ⇒ 01:23:07.510 Ryan Brosas: Oh, VPL Corporation… I think that’s fine, I guess.
569 01:23:07.690 ⇒ 01:23:10.600 Luke Scorziell: VP is fine. I guess, okay, the other thing…
570 01:23:10.990 ⇒ 01:23:14.179 Luke Scorziell: We do have a lot of just, like, data engineers, which…
571 01:23:16.140 ⇒ 01:23:18.609 Luke Scorziell: Probably fine, they’re a little bit low.
572 01:23:45.100 ⇒ 01:23:46.320 Ryan Brosas: Should we…
573 01:23:52.030 ⇒ 01:23:56.440 Ryan Brosas: Stick with… Senior only, or…
574 01:23:57.590 ⇒ 01:23:58.890 Ryan Brosas: This is fine.
575 01:24:01.170 ⇒ 01:24:05.460 Luke Scorziell: Yeah, it’s fine. It’s fine. I think…
576 01:24:05.740 ⇒ 01:24:08.010 Luke Scorziell: During cold outreach, we might only get, like.
577 01:24:09.830 ⇒ 01:24:16.439 Luke Scorziell: I mean, 10 might be a good percentage response rate, so if we sent 100… 49 emails we get.
578 01:24:17.020 ⇒ 01:24:21.939 Luke Scorziell: 13 responses, you know? I don’t know. We probably don’t want to narrow the scope too far.
579 01:24:23.010 ⇒ 01:24:23.690 Ryan Brosas: Okay.
580 01:24:24.460 ⇒ 01:24:29.320 Ryan Brosas: additional here…
581 01:24:33.420 ⇒ 01:24:34.460 Ryan Brosas: Hold on.
582 01:25:48.110 ⇒ 01:25:48.900 Ryan Brosas: Walking.
583 01:25:49.520 ⇒ 01:25:50.520 Ryan Brosas: Yes, slow.
584 01:25:52.440 ⇒ 01:25:53.360 Luke Scorziell: I’m good.
585 01:25:53.620 ⇒ 01:25:55.759 Luke Scorziell: Yeah, yeah, I think this is a pretty good list.
586 01:26:35.070 ⇒ 01:26:38.469 Ryan Brosas: Yeah, I think that’s pretty much it. I’ll just…
587 01:26:38.860 ⇒ 01:26:42.400 Ryan Brosas: Send this over to the Slack.
588 01:26:43.250 ⇒ 01:26:44.340 Ryan Brosas: here.
589 01:26:45.200 ⇒ 01:26:49.970 Ryan Brosas: So, we can…
590 01:26:53.530 ⇒ 01:26:54.200 Luke Scorziell: -Oh.
591 01:26:55.640 ⇒ 01:27:01.019 Ryan Brosas: Oh, fake, sorry. Yeah, I think…
592 01:27:01.220 ⇒ 01:27:05.300 Ryan Brosas: That’s pretty much it. I’m just going to wait on the waiting callback.
593 01:27:05.750 ⇒ 01:27:10.759 Ryan Brosas: Then I’ll send over the CSV, so you can hand this over to Rico.
594 01:27:11.270 ⇒ 01:27:12.020 Luke Scorziell: Okay.
595 01:27:15.140 ⇒ 01:27:22.480 Ryan Brosas: Then… do you want me to do also for this one, or we can just stick on this one?
596 01:27:23.740 ⇒ 01:27:26.010 Luke Scorziell: I do like the lookalikes, but…
597 01:27:32.450 ⇒ 01:27:35.810 Luke Scorziell: Go back to the… because the lookalikes are a little different of an audience, right?
598 01:27:36.570 ⇒ 01:27:38.160 Luke Scorziell: Yeah. We were able to get there.
599 01:27:41.900 ⇒ 01:27:48.649 Ryan Brosas: I can just do this tomorrow, or you just… I’ll just send the CSV tomorrow.
600 01:27:48.810 ⇒ 01:27:50.370 Ryan Brosas: for lookalikes.
601 01:27:50.560 ⇒ 01:27:57.249 Ryan Brosas: similar… replicating the, the similar of, like, what we did on the LinkedIn.
602 01:27:57.610 ⇒ 01:27:59.160 Ryan Brosas: sources?
603 01:27:59.370 ⇒ 01:28:06.069 Ryan Brosas: Then… I think this can be, like, an additional list for our email.
604 01:28:06.470 ⇒ 01:28:08.189 Ryan Brosas: sequence, as well.
605 01:28:09.760 ⇒ 01:28:17.319 Luke Scorziell: But yeah, I think I could see doing this as an additional list and separating it between coffee and pool, since it looks like there’s only two.
606 01:28:18.340 ⇒ 01:28:23.810 Luke Scorziell: Or, like, essentially, it looks like it’s either people who worked at…
607 01:28:24.120 ⇒ 01:28:26.840 Luke Scorziell: Work at a coffee company, or people who work at a pool company.
608 01:28:34.610 ⇒ 01:28:37.490 Ryan Brosas: Thank you for hopping on a call with me,
609 01:28:37.660 ⇒ 01:28:39.940 Ryan Brosas: Hope you’re having a great day.
610 01:28:40.170 ⇒ 01:28:41.360 Luke Scorziell: Yeah, you too.
611 01:28:42.080 ⇒ 01:28:48.690 Luke Scorziell: So… Okay, thanks for doing this, Ryan. I appreciate it.
612 01:28:49.800 ⇒ 01:28:50.280 Ryan Brosas: Thank you.
613 01:28:50.280 ⇒ 01:28:53.340 Luke Scorziell: Helps a lot, so… Alright, I’ll talk to you soon.