Meeting Title: GTM Team Weekly Sync Date: 2026-02-04 Meeting participants: Hannah Wang, Luke Scorziell, Luke’s Notetaker, Ryan Brosas
WEBVTT
1 00:00:22.830 ⇒ 00:00:23.890 Luke Scorziell: Hey, Hannah.
2 00:00:24.950 ⇒ 00:00:25.956 Hannah Wang: I hate…
3 00:00:26.870 ⇒ 00:00:27.810 Luke Scorziell: How’s it going?
4 00:00:29.210 ⇒ 00:00:32.940 Hannah Wang: Ugh, took a break, and now I’m back.
5 00:00:33.070 ⇒ 00:00:33.990 Luke Scorziell: Nice.
6 00:00:35.040 ⇒ 00:00:45.850 Hannah Wang: I… hope Ryan joins, can wait a little bit.
7 00:00:46.340 ⇒ 00:00:53.460 Hannah Wang: But… Is there anything you wanted to talk about? I know I have some stuff on my…
8 00:00:54.070 ⇒ 00:00:58.629 Hannah Wang: agenda, but… Wondering if you had anything.
9 00:01:00.890 ⇒ 00:01:03.090 Luke Scorziell: I don’t think so, unless,
10 00:01:03.810 ⇒ 00:01:07.540 Luke Scorziell: What do you… what do you… what do we normally cover in this meeting?
11 00:01:08.400 ⇒ 00:01:13.079 Hannah Wang: Just, like, anything that we need to hash out with the three of us that…
12 00:01:13.630 ⇒ 00:01:19.789 Hannah Wang: That’s it. Anything that’s, like, hard to cover over,
13 00:01:20.500 ⇒ 00:01:32.150 Hannah Wang: DMs, just talking it out sometimes is faster, so I just put this sync here. And then later on, like, when we’re actively running campaigns and stuff, just doing, like, a check.
14 00:01:32.890 ⇒ 00:01:35.590 Hannah Wang: Check in the middle of the week.
15 00:01:36.840 ⇒ 00:01:41.150 Hannah Wang: So yeah, it’s really anything that you need to talk about.
16 00:01:42.370 ⇒ 00:01:45.220 Luke Scorziell: Okay. Bye, thank you.
17 00:01:48.220 ⇒ 00:01:50.810 Luke Scorziell: Should the maintenance guy leave.
18 00:01:54.540 ⇒ 00:02:06.750 Hannah Wang: I can talk about what I kind of need help with, if nothing… Nothing else. Let me…
19 00:02:08.960 ⇒ 00:02:10.190 Hannah Wang: Shh…
20 00:02:10.500 ⇒ 00:02:18.830 Hannah Wang: share my screen, I guess, or… I don’t know what to share, exactly, what screen. I’ll just share my entire desktop.
21 00:02:19.650 ⇒ 00:02:33.440 Hannah Wang: Okay… Mmm… So, I wanted to talk about the Mixed panel event, and I think
22 00:02:34.750 ⇒ 00:02:41.919 Hannah Wang: I don’t know if everyone is in… this Slack channel.
23 00:02:42.850 ⇒ 00:02:47.290 Hannah Wang: It’s okay if not, but… Basically.
24 00:02:47.580 ⇒ 00:03:03.359 Hannah Wang: the update on this is that we got the venue down, and, we’re gonna start sending out Luma invites, and I think what I need help with is building, like, a…
25 00:03:03.880 ⇒ 00:03:10.539 Hannah Wang: basically an invite list, essentially a lead list. So, I…
26 00:03:10.890 ⇒ 00:03:17.840 Hannah Wang: haven’t… I didn’t attend this meeting that Utam and Holly had with the Mixpanel team.
27 00:03:18.450 ⇒ 00:03:22.319 Hannah Wang: So I don’t think I was feeling well that day, but I think…
28 00:03:22.450 ⇒ 00:03:32.159 Hannah Wang: we are targeting a mix of 50-50 customers versus prospects.
29 00:03:34.940 ⇒ 00:03:38.200 Hannah Wang: I don’t really know what prospects means, honestly.
30 00:03:40.530 ⇒ 00:03:46.660 Luke Scorziell: I think that’d be, like, people that are, like, evaluating, or don’t… aren’t yet using Mixpanel.
31 00:03:46.960 ⇒ 00:03:49.350 Hannah Wang: Okay, so, like, leads, basically, or…
32 00:03:49.350 ⇒ 00:03:49.800 Luke Scorziell: Yeah.
33 00:03:49.800 ⇒ 00:03:53.609 Hannah Wang: clients for Mixpanel. Okay. Yeah, so…
34 00:03:54.410 ⇒ 00:03:59.699 Hannah Wang: I, in the past, like, with more invite-only events.
35 00:03:59.890 ⇒ 00:04:06.719 Hannah Wang: I know for Ryan, the operating event… I forgot what we did for that one, did you just scrape?
36 00:04:07.270 ⇒ 00:04:08.450 Hannah Wang: Something?
37 00:04:12.640 ⇒ 00:04:20.159 Ryan Brosas: For that, I also forgot… But, yeah, I think, Otam,
38 00:04:22.900 ⇒ 00:04:31.330 Ryan Brosas: Yeah, I think it’s mostly the operating, team has more invite regarding that, and we just…
39 00:04:31.590 ⇒ 00:04:33.220 Ryan Brosas: Posted that.
40 00:04:33.710 ⇒ 00:04:39.099 Ryan Brosas: And I think, people register because of…
41 00:04:39.540 ⇒ 00:04:51.009 Ryan Brosas: because we posted it, and also, like, we did some of, like, some, speaker highlight, I guess, because, that’s what we did on operating
42 00:04:51.670 ⇒ 00:05:01.939 Ryan Brosas: From what I know, but yeah, I think it’s purely, I think Utam is, like, inviting people out, like, in DM or in text, I guess.
43 00:05:02.830 ⇒ 00:05:04.270 Hannah Wang: For the operating one?
44 00:05:04.670 ⇒ 00:05:05.510 Ryan Brosas: Yeah.
45 00:05:05.510 ⇒ 00:05:09.440 Hannah Wang: Okay. Yeah, I think for this one, we want to be more strategic.
46 00:05:09.720 ⇒ 00:05:17.560 Hannah Wang: Because I don’t think we’re necessarily promoting this event. Like, I don’t… I basically…
47 00:05:17.850 ⇒ 00:05:21.270 Hannah Wang: Don’t want just randos signing up, so…
48 00:05:21.380 ⇒ 00:05:27.040 Hannah Wang: This will tie in with what I want to talk about secondly, which is, like, the sequencing on LinkedIn.
49 00:05:27.120 ⇒ 00:05:42.919 Hannah Wang: And I know we kind of talked about it in Slack a little bit, but we can just hash it out here. But yeah, I… like, Utama comments, like, we can identify people that have transitioned into e-comm CPG from software. We’re, like, targeting…
50 00:05:43.070 ⇒ 00:05:47.660 Hannah Wang: These… Folks,
51 00:05:49.220 ⇒ 00:05:58.320 Hannah Wang: And then, yeah, 50-50 split on current customers versus prospects, net logos, and winning other enterprise-grade customers who can move over, so…
52 00:05:58.650 ⇒ 00:06:04.349 Hannah Wang: Yeah, this is… I guess we haven’t done something like this before, in terms of, like.
53 00:06:04.890 ⇒ 00:06:07.860 Hannah Wang: Very tightly curating the invite list.
54 00:06:08.200 ⇒ 00:06:17.670 Hannah Wang: Except, Ryan, if you remember, for, the Shop Talk Spa event, we tried to do that. I don’t know if you remember, but we had this giant
55 00:06:17.800 ⇒ 00:06:19.380 Hannah Wang: sheets.
56 00:06:19.950 ⇒ 00:06:33.490 Hannah Wang: Here, remember we, like, logged into Robert’s portal, and then we, like, grabbed a bunch of people, so we did that, but I don’t know how successful this was, just because…
57 00:06:33.740 ⇒ 00:06:40.590 Hannah Wang: I don’t think they were, like, super within our ICP, or they weren’t, like, a super ICP fit, so I think…
58 00:06:40.590 ⇒ 00:06:45.200 Ryan Brosas: So, I think one event we did, like.
59 00:06:45.810 ⇒ 00:06:51.530 Ryan Brosas: Scrape some profile, and you base it out, and…
60 00:06:51.570 ⇒ 00:07:08.070 Ryan Brosas: when you pay… when you are finished with, like, like, checking all the profile, and if it’s fit for this, specific campaign, then we reach out to this specific, person. I think that’s one we could do as well.
61 00:07:08.300 ⇒ 00:07:16.590 Hannah Wang: Yeah, so I’m thinking, like, we can just, based on these filters, Somehow, if you can scrape…
62 00:07:17.060 ⇒ 00:07:25.630 Hannah Wang: these profiles, and then… obviously, I want Utam to look at it too, so I’m planning on making, like, a…
63 00:07:27.060 ⇒ 00:07:29.290 Hannah Wang: basically a Google Sheet. Oops.
64 00:07:33.460 ⇒ 00:07:48.710 Hannah Wang: Because MixedPanel, on their side, they’re gonna invite some people too, so I told them I could make a shared spreadsheet of invites. So I was thinking we can list out ICP-fit people, and then we can just get approval
65 00:07:48.810 ⇒ 00:08:01.850 Hannah Wang: basically, I can add a column of, like, oh, should we invite them, and then share this with UTAM? And then also so that the Mixpanel team has visibility on who registers to the event, because the Luma
66 00:08:02.520 ⇒ 00:08:05.199 Hannah Wang: I’m… I’m the only host, so I’m the…
67 00:08:05.690 ⇒ 00:08:12.760 Hannah Wang: One who has access later to who registers, so just so that their team has eyes on
68 00:08:13.080 ⇒ 00:08:17.170 Hannah Wang: Who comes, but… Anyway,
69 00:08:18.240 ⇒ 00:08:26.249 Hannah Wang: Does that sound like an okay plan? I don’t really know how to go about this except doing that. Just, like, basically targeting.
70 00:08:26.810 ⇒ 00:08:34.320 Hannah Wang: people, based on the comments here, I can also send the granola link, if that’s helpful, and then…
71 00:08:35.280 ⇒ 00:08:41.059 Hannah Wang: Just basically asking Utam, is this okay? And then we sent out invites slowly.
72 00:08:59.170 ⇒ 00:09:00.820 Ryan Brosas: Hmm, okay.
73 00:09:03.080 ⇒ 00:09:07.110 Hannah Wang: Yeah, let me know what you think, consumer, on it.
74 00:09:13.300 ⇒ 00:09:15.640 Hannah Wang: Can’t copy this link.
75 00:09:16.590 ⇒ 00:09:17.810 Hannah Wang: That’s lame.
76 00:09:18.740 ⇒ 00:09:19.280 Luke Scorziell: Huh.
77 00:09:21.160 ⇒ 00:09:22.579 Hannah Wang: Well, I know Utan… okay.
78 00:09:22.920 ⇒ 00:09:31.680 Ryan Brosas: Okay, so, yeah, I’m not sure, because, this is something like… Tech.
79 00:09:33.200 ⇒ 00:09:37.069 Ryan Brosas: So, shh… It’s… it’s… it’s more of, like.
80 00:09:37.190 ⇒ 00:09:41.200 Ryan Brosas: like, we’re also, like, endorsing, like, MixedPanel, right?
81 00:09:41.410 ⇒ 00:09:56.160 Ryan Brosas: And it kind of, like, we… we want, like, some company that want… it’s… it’s based on web… on tech stack as well, because, this is event for MixedPanel, I think…
82 00:09:56.830 ⇒ 00:10:04.600 Ryan Brosas: I’m not sure, but, I could get… I’m not sure if, the credit is going to,
83 00:10:08.170 ⇒ 00:10:19.999 Ryan Brosas: is enough for this, but I think we can… what I can do is, like, search for companies that is using others, competitor, like, like, mixed panel competitors.
84 00:10:20.180 ⇒ 00:10:24.339 Ryan Brosas: And then we could,
85 00:10:25.210 ⇒ 00:10:33.559 Ryan Brosas: start, one of, one of the options is that we could start with, with tech stack.
86 00:10:34.020 ⇒ 00:10:43.950 Ryan Brosas: Compa- that, that’s similar to MixedPanel, and we could invite them as well. And also, like.
87 00:10:44.380 ⇒ 00:10:50.929 Ryan Brosas: we could also has option with job title, which is, I’m not sure if…
88 00:10:51.040 ⇒ 00:10:56.209 Ryan Brosas: That is what we did on the last one, we based on, job title.
89 00:10:56.670 ⇒ 00:11:02.819 Ryan Brosas: And… Then, for the other one…
90 00:11:04.880 ⇒ 00:11:09.820 Ryan Brosas: Yeah, I think pretty much, night.
91 00:11:10.270 ⇒ 00:11:20.230 Ryan Brosas: Looking at our posts as well, like, if we’re going to post this, like, right away.
92 00:11:20.460 ⇒ 00:11:26.220 Ryan Brosas: There’s also, like, a signal from it, like, if someone,
93 00:11:27.220 ⇒ 00:11:35.680 Ryan Brosas: Engaged with it, or, the… or… or, like, viewed our profile based on our… on that
94 00:11:35.900 ⇒ 00:11:37.460 Ryan Brosas: specific content.
95 00:11:37.920 ⇒ 00:11:40.450 Ryan Brosas: I think that one is also, like, a signal.
96 00:11:41.640 ⇒ 00:11:44.979 Ryan Brosas: And, yeah, I think that’s… that’s what I’m…
97 00:11:45.130 ⇒ 00:11:50.129 Ryan Brosas: Looking at in perspective, like, marketing or, well, cold outreach or something.
98 00:11:51.760 ⇒ 00:11:52.590 Hannah Wang: Yeah.
99 00:11:52.590 ⇒ 00:11:58.800 Luke Scorziell: Like, basically, you’re trying to find… Yeah, who we can invite.
100 00:12:16.000 ⇒ 00:12:18.549 Hannah Wang: Yeah, it’s just, like, 50% current.
101 00:12:18.650 ⇒ 00:12:30.009 Hannah Wang: Mixpanel customers, I’m assuming for that one, it’s so that we can pitch ourselves, like, oh, Brainforge helps with MixedPanel stuff. And then the other 50% is…
102 00:12:30.700 ⇒ 00:12:34.740 Hannah Wang: Yeah, people who are maybe on other tech stack softwares.
103 00:12:34.960 ⇒ 00:12:35.820 Luke Scorziell: I think.
104 00:12:35.820 ⇒ 00:12:37.389 Hannah Wang: Send them over, basically.
105 00:12:37.390 ⇒ 00:12:43.550 Luke Scorziell: From what I remember, I don’t know if this is the same meeting, probably, I guess, was…
106 00:12:44.390 ⇒ 00:12:51.059 Luke Scorziell: like, we… like, the Mixpanel customers are kind of the biggest evangelists for Mixpanel.
107 00:12:51.590 ⇒ 00:12:59.789 Luke Scorziell: And so… that’s why… And, like, obviously, there are also people that, Brainforge can upsell to.
108 00:12:59.920 ⇒ 00:13:07.390 Luke Scorziell: But, as we get… Like, have more… Customers there.
109 00:13:08.910 ⇒ 00:13:11.179 Luke Scorziell: Then they can kind of advocate to…
110 00:13:11.520 ⇒ 00:13:16.760 Luke Scorziell: Yeah, like, they’re gonna be the best advocates, so they can advocate for,
111 00:13:17.320 ⇒ 00:13:22.810 Luke Scorziell: mixed panel to people who are, like, buying, or considering buying Mixpanel?
112 00:13:22.810 ⇒ 00:13:23.369 Hannah Wang: I see.
113 00:13:23.370 ⇒ 00:13:29.560 Luke Scorziell: So, with that, I think it’d be, like, I kind of wonder, like, does Mixpanel have a…
114 00:13:29.750 ⇒ 00:13:34.220 Luke Scorziell: list of customers in… within the Austin area.
115 00:13:35.320 ⇒ 00:13:39.370 Hannah Wang: Yeah, so,
116 00:13:40.090 ⇒ 00:13:49.410 Hannah Wang: Kara’s saying that their team wants to send out invites. I don’t know who they’re sending it out to, but they want to start promoting it, so…
117 00:13:49.750 ⇒ 00:13:57.379 Hannah Wang: I guess… I guess we can ask Kara, like… Do you have current?
118 00:13:58.090 ⇒ 00:14:03.600 Hannah Wang: folks in Austin that are using Mixpanel. I’m sure they can give us the answer to that.
119 00:14:03.770 ⇒ 00:14:07.130 Hannah Wang: So I think maybe…
120 00:14:07.230 ⇒ 00:14:14.689 Hannah Wang: we don’t have to be super as worried about the mixed panel customers as, like, the…
121 00:14:15.410 ⇒ 00:14:18.580 Hannah Wang: Prospects, because that’s just hard to…
122 00:14:18.820 ⇒ 00:14:22.809 Hannah Wang: Harder to scrape, obviously, and figure out.
123 00:14:23.120 ⇒ 00:14:23.840 Hannah Wang: I guess…
124 00:14:23.840 ⇒ 00:14:26.770 Luke Scorziell: Yeah, for maybe, like, evaluators?
125 00:14:27.980 ⇒ 00:14:31.349 Luke Scorziell: Is that kind of who… the demographic that you’re wondering?
126 00:14:31.970 ⇒ 00:14:34.579 Luke Scorziell: about, for us to reach out to?
127 00:14:35.330 ⇒ 00:14:37.149 Hannah Wang: Yeah, this, this bucket.
128 00:14:37.150 ⇒ 00:14:38.400 Luke Scorziell: How do we find these people?
129 00:14:38.770 ⇒ 00:14:39.520 Hannah Wang: Yeah.
130 00:14:40.040 ⇒ 00:14:40.360 Luke Scorziell: Yeah.
131 00:14:40.360 ⇒ 00:14:48.610 Hannah Wang: just building a list, like, starting to build a list of these types of people somehow. I don’t really know what Utom had in mind.
132 00:14:48.770 ⇒ 00:14:51.790 Hannah Wang: But I’m assuming that we’re in charge of finding it.
133 00:14:51.790 ⇒ 00:14:56.660 Luke Scorziell: Yeah, I mean, you could ask him. I think, I think, like, an idea that I might have is, like.
134 00:14:57.050 ⇒ 00:15:04.900 Luke Scorziell: You know, there’s probably, like, Reddit threads, where people are asking about Mixpanel versus other things.
135 00:15:05.150 ⇒ 00:15:08.379 Luke Scorziell: So, we could kind of try to identify signal from…
136 00:15:08.680 ⇒ 00:15:12.920 Luke Scorziell: from that, and see if there are people within Reddit asking about…
137 00:15:13.690 ⇒ 00:15:18.980 Luke Scorziell: about that, and, like, assume that if someone’s asking pretty detailed questions, they might be doing an RFP.
138 00:15:21.860 ⇒ 00:15:25.189 Hannah Wang: An RFP again. I hear that a lot, but I don’t know what it means.
139 00:15:25.360 ⇒ 00:15:34.110 Luke Scorziell: It’s a request for proposal, which I believe is when, like, large companies put out, like,
140 00:15:34.660 ⇒ 00:15:38.350 Luke Scorziell: Like, basically, they’re trying to evaluate, like, different softwares, and so…
141 00:15:38.350 ⇒ 00:15:39.340 Hannah Wang: Okay.
142 00:15:39.340 ⇒ 00:15:41.869 Luke Scorziell: I might do, like, a,
143 00:15:42.640 ⇒ 00:15:49.450 Luke Scorziell: like, they have an RFP out, and so they’re looking at certain things before they decide which software to fully implement, and then I.
144 00:15:49.450 ⇒ 00:15:49.899 Hannah Wang: I think.
145 00:15:49.900 ⇒ 00:15:52.859 Luke Scorziell: That means, then, that typically, like, vendors come to them with
146 00:15:53.440 ⇒ 00:15:56.990 Luke Scorziell: With, like, proposals, and then they kind of choose through.
147 00:15:57.840 ⇒ 00:15:59.730 Luke Scorziell: Which ones they want?
148 00:16:00.150 ⇒ 00:16:01.120 Hannah Wang: I see.
149 00:16:01.730 ⇒ 00:16:02.670 Luke Scorziell: So…
150 00:16:04.590 ⇒ 00:16:07.099 Hannah Wang: I mean, the… yeah, that sounds…
151 00:16:07.820 ⇒ 00:16:13.610 Hannah Wang: That sounds good. Or even on… Yeah, just, like, signal stuff.
152 00:16:14.130 ⇒ 00:16:20.090 Hannah Wang: A mix of, like, looking… For signal, and also maybe just, like, looking at these…
153 00:16:20.570 ⇒ 00:16:22.520 Hannah Wang: Titles, and kind of, maybe.
154 00:16:22.520 ⇒ 00:16:22.960 Luke Scorziell: Yeah.
155 00:16:22.960 ⇒ 00:16:26.170 Hannah Wang: into their LinkedIn and seeing what they’re up to.
156 00:16:26.170 ⇒ 00:16:30.980 Luke Scorziell: Like, if I just went on, like…
157 00:16:34.530 ⇒ 00:16:40.180 Luke Scorziell: I wonder if I just got on ChatGPT.
158 00:16:43.230 ⇒ 00:16:46.049 Luke Scorziell: Can you find another station?
159 00:17:53.190 ⇒ 00:17:59.379 Luke Scorziell: I mean, like, I’ll just send a couple.
160 00:18:00.000 ⇒ 00:18:02.960 Luke Scorziell: This is just an idea, and I might want to find higher.
161 00:18:03.820 ⇒ 00:18:06.699 Luke Scorziell: Like, I don’t know that people are close to.
162 00:18:39.730 ⇒ 00:18:40.950 Luke Scorziell: -Oh, you’re on.
163 00:18:41.360 ⇒ 00:18:42.080 Luke Scorziell: I didn’t care.
164 00:18:42.690 ⇒ 00:18:45.020 Hannah Wang: It’s sad that it’s 5 years ago, though.
165 00:18:45.250 ⇒ 00:18:46.030 Luke Scorziell: Okay.
166 00:18:47.360 ⇒ 00:18:49.050 Luke Scorziell: Maybe there’s more?
167 00:18:58.890 ⇒ 00:19:02.890 Hannah Wang: I get your general idea, though.
168 00:19:03.100 ⇒ 00:19:04.530 Hannah Wang: How about we…
169 00:19:04.910 ⇒ 00:19:09.900 Hannah Wang: We can ask Utam what he thinks, because I wasn’t at that meeting, so I don’t really know.
170 00:19:10.940 ⇒ 00:19:19.889 Hannah Wang: what he thought of doing. I’m looking at the granola notes, and he said, use crossbeam? I’m like, I don’t know what crossbeam is, but…
171 00:19:22.310 ⇒ 00:19:32.589 Hannah Wang: Anyway, yeah, there’s, like, little buckets, like, under-adopted mixed panel, customers, companies interested in PA,
172 00:19:32.740 ⇒ 00:19:35.839 Hannah Wang: Product analytics, legacy analytics users.
173 00:19:37.050 ⇒ 00:19:40.340 Hannah Wang: Ugh, marketing champions with tech background.
174 00:19:42.270 ⇒ 00:19:48.509 Hannah Wang: Yeah, I feel like it’s just hard to find this unless we manually, kind of, dig through each person.
175 00:19:54.130 ⇒ 00:19:58.169 Hannah Wang: But okay, yeah, maybe we can ask Utam what he thinks.
176 00:19:59.110 ⇒ 00:20:00.880 Hannah Wang: In terms of strategy.
177 00:20:11.310 ⇒ 00:20:11.890 Hannah Wang: Okay.
178 00:20:17.300 ⇒ 00:20:22.810 Ryan Brosas: Yeah, I think also on profile views, I guess, if they are, like.
179 00:20:22.970 ⇒ 00:20:29.159 Ryan Brosas: Based on, like, Austin, I guess, we can… we can, like, engage on that also.
180 00:20:29.480 ⇒ 00:20:30.150 Hannah Wang: Yeah.
181 00:20:31.970 ⇒ 00:20:38.690 Ryan Brosas: But yeah, we can… go with, if Utam has, like, insights from… for this.
182 00:20:39.750 ⇒ 00:20:43.089 Hannah Wang: Yeah, I think Austin Base is probably the default.
183 00:20:43.260 ⇒ 00:20:48.089 Hannah Wang: Like, that should always be one of the filters, and then… Yeah, we can just…
184 00:20:48.430 ⇒ 00:20:57.929 Hannah Wang: look for a head of product or growth folks based in Austin, and then kind of narrow it down from there. But yeah, I think Austin-based should always be…
185 00:20:58.800 ⇒ 00:21:01.380 Hannah Wang: An active filter that we use.
186 00:21:01.680 ⇒ 00:21:02.370 Luke Scorziell: Yeah.
187 00:21:02.940 ⇒ 00:21:09.780 Hannah Wang: Just because it’s a high lift to fly out, and… yeah, it’s not… Not worth it.
188 00:21:09.930 ⇒ 00:21:14.520 Hannah Wang: Or it will be worth it, but it’s just a lot of work. Okay.
189 00:21:15.730 ⇒ 00:21:18.760 Hannah Wang: I can start that thread,
190 00:21:18.880 ⇒ 00:21:34.379 Hannah Wang: And then we’ll see what he says. And then the next thing I wanted to talk about was the LinkedIn sequencing, and Ryan, I know you mentioned wanting to talk about when we should start posting about it.
191 00:21:34.700 ⇒ 00:21:39.260 Hannah Wang: like… I’m assuming for this one, like, we’re not going to…
192 00:21:39.870 ⇒ 00:21:45.400 Hannah Wang: promote it, necessarily, right? Because we’re looking for people to…
193 00:21:46.020 ⇒ 00:21:52.029 Hannah Wang: invite, as opposed to making it, like, an open invite, and being like, oh, we should register. So…
194 00:21:52.910 ⇒ 00:21:58.510 Hannah Wang: How should we, like… Frame the posts.
195 00:21:58.670 ⇒ 00:22:00.929 Hannah Wang: Like, are we gonna say, like.
196 00:22:01.800 ⇒ 00:22:05.199 Hannah Wang: oh, we’re gonna have an event with Mixpanel.
197 00:22:06.010 ⇒ 00:22:12.590 Hannah Wang: what should the CTA be? The CTA won’t be like, oh, check out, like, register now.
198 00:22:13.100 ⇒ 00:22:18.819 Luke Scorziell: I think we’ve mentioned having, like, a mixed panel, like, webinar or something? I don’t know if that’s something that we could still do.
199 00:22:20.280 ⇒ 00:22:21.240 Hannah Wang: Webinar…
200 00:22:21.240 ⇒ 00:22:21.760 Ryan Brosas: Yeah.
201 00:22:21.790 ⇒ 00:22:23.030 Luke Scorziell: Just a second. Oh, I think…
202 00:22:24.400 ⇒ 00:22:32.039 Luke Scorziell: like, a short thing for someone to do, or, I mean, also, Ryan had that video created this morning.
203 00:22:32.280 ⇒ 00:22:38.900 Luke Scorziell: But I… yeah, I think we’d mentioned, like, a… .
204 00:22:38.900 ⇒ 00:22:40.209 Hannah Wang: Oh, like a recap.
205 00:22:40.450 ⇒ 00:22:48.709 Hannah Wang: Or I remember we talked about, like, a recap thing, but that’s, like, post-event, right? Not pre.
206 00:22:49.650 ⇒ 00:22:55.910 Luke Scorziell: Yeah, but I think pre could be, like, a… like, we have a webinar where Tom, like, walks through
207 00:22:57.280 ⇒ 00:23:03.739 Luke Scorziell: Mixpanel, or Greg, or someone, and then we just have people join who are interested and aren’t necessarily coming to the event.
208 00:23:05.860 ⇒ 00:23:09.829 Hannah Wang: I see… I just feel like…
209 00:23:11.390 ⇒ 00:23:14.359 Hannah Wang: We’re gonna have to do that, like…
210 00:23:15.060 ⇒ 00:23:22.529 Hannah Wang: soon, and I don’t know if we have enough time to… do that.
211 00:23:24.110 ⇒ 00:23:31.659 Hannah Wang: Maybe if it was, like, for something further out, yeah, totally, we would think about that, but I think just for the sake of time…
212 00:23:33.050 ⇒ 00:23:35.009 Hannah Wang: I don’t know if we can do that.
213 00:23:36.670 ⇒ 00:23:45.919 Hannah Wang: Because it’d be, like, probably we want to do it, like, a week or two before the actual event, which is, like, next week. We would need a…
214 00:23:46.280 ⇒ 00:23:52.510 Hannah Wang: have everything ready, and the topic, and everything, and I think those… that just takes a little bit of time.
215 00:23:56.910 ⇒ 00:24:04.850 Ryan Brosas: Yeah, I think the demo is fine, what, what do you call this? Greg did.
216 00:24:06.780 ⇒ 00:24:18.189 Ryan Brosas: Yeah, I think we could just follow, like, if there’s, like, other interesting way on doing, like, the process of, like, house, like.
217 00:24:19.040 ⇒ 00:24:34.090 Ryan Brosas: It’s like demoing the product, how smooth it is, how easy Mixpanel is, something like that. I think a short video or demonstration would suffice for that.
218 00:24:35.760 ⇒ 00:24:40.739 Hannah Wang: Is that redundant with the post that’s going out tomorrow, though, for the mixed panel with Greg?
219 00:24:40.850 ⇒ 00:24:56.989 Ryan Brosas: Yeah, it kinda is, but it’s kind of, like, we are still, like, doing, like, promotion of… for partners, and then, we can also, like, go ahead and put, like, a CTA off, like, if you’re interested.
220 00:24:57.190 ⇒ 00:25:09.240 Ryan Brosas: or something, DM us, then if they are, you know, within the area of, like, Austin, we can invite them as a prospect for mixed panel.
221 00:25:09.570 ⇒ 00:25:15.809 Ryan Brosas: Yeah, that’s… what I think for that as well.
222 00:25:16.700 ⇒ 00:25:21.099 Hannah Wang: So the demo thing would be, like, a free… like, a non-gated…
223 00:25:21.270 ⇒ 00:25:27.409 Hannah Wang: link. Like, we would just give that for free, and then the CTA would be DMS. Is that what you’re saying?
224 00:25:27.410 ⇒ 00:25:33.149 Ryan Brosas: Yeah, DMS4. Then, when we proceeded to, like, you know,
225 00:25:33.420 ⇒ 00:25:43.769 Ryan Brosas: do the, conversation. If they are in the area, we can, you know, out of them can say, hey, if you are interested.
226 00:25:44.030 ⇒ 00:25:48.479 Ryan Brosas: We are going to have a mixed panel event.
227 00:25:48.680 ⇒ 00:25:55.880 Ryan Brosas: or something, then I think, that would be, like, another signal for this.
228 00:25:57.620 ⇒ 00:25:58.490 Hannah Wang: Okay.
229 00:25:58.610 ⇒ 00:26:02.930 Hannah Wang: Yeah, I just wanna… I like that idea, I just wanna run by…
230 00:26:03.420 ⇒ 00:26:10.099 Hannah Wang: all of that with UTAM, before we start working on it.
231 00:26:11.420 ⇒ 00:26:14.760 Hannah Wang: Which I can make a thread, I’ll just put in the same thread.
232 00:26:15.030 ⇒ 00:26:16.240 Hannah Wang: And then…
233 00:26:16.710 ⇒ 00:26:23.500 Hannah Wang: were we thinking maybe we… it can go out next week? I was thinking maybe two weeks before the event would be…
234 00:26:24.130 ⇒ 00:26:26.909 Hannah Wang: Fine, to start.
235 00:26:27.170 ⇒ 00:26:28.770 Hannah Wang: To post about it.
236 00:26:29.000 ⇒ 00:26:37.530 Hannah Wang: Because the event’s on the 26th, so… if we do next Thursday, I don’t know, is that, like, redundant? Having two mixed panel…
237 00:26:38.050 ⇒ 00:26:40.610 Hannah Wang: partner posts.
238 00:26:40.830 ⇒ 00:26:41.640 Hannah Wang: Right after…
239 00:26:41.640 ⇒ 00:26:42.220 Ryan Brosas: Hmm…
240 00:26:42.880 ⇒ 00:26:47.540 Ryan Brosas: I think as long as they’re both kind of saying, like, a different valuable thing, I don’t think it’s, like, a…
241 00:26:48.130 ⇒ 00:26:49.100 Ryan Brosas: Yeah.
242 00:26:49.100 ⇒ 00:26:49.890 Hannah Wang: Okay.
243 00:26:50.440 ⇒ 00:27:02.600 Ryan Brosas: Yeah, because, MCP is kind of, like, related to AI, and, we are just demonstrating something like, how… if, like, one of the value of the product.
244 00:27:02.720 ⇒ 00:27:10.449 Ryan Brosas: It’s pretty much, like, it’s either, showing how easy it is, how, like.
245 00:27:11.080 ⇒ 00:27:13.419 Ryan Brosas: What do you call this? How fast it is.
246 00:27:13.950 ⇒ 00:27:23.620 Ryan Brosas: Yeah, like, showing those specific points that, a product could do, change your life or something.
247 00:27:23.950 ⇒ 00:27:33.600 Ryan Brosas: But yeah, it… Yeah, it’s not redundant at all if, we are showing other aspects of, like.
248 00:27:33.820 ⇒ 00:27:35.390 Ryan Brosas: value.
249 00:27:35.990 ⇒ 00:27:36.790 Hannah Wang: Okay.
250 00:27:36.920 ⇒ 00:27:42.100 Hannah Wang: Oh, because the one with Greg is MCP, okay. It’s an AI-related thing.
251 00:27:43.640 ⇒ 00:27:52.180 Hannah Wang: Okay, yeah, I mean, if we’re gonna do the video, we just need someone to demo it and record themselves. I don’t know how long it took, Greg.
252 00:27:52.310 ⇒ 00:27:58.660 Hannah Wang: to do this. Does anyone… No. Like, I’m just thinking…
253 00:27:58.960 ⇒ 00:28:01.779 Hannah Wang: I guess we can have Utam recorded too, but…
254 00:28:03.140 ⇒ 00:28:07.729 Hannah Wang: Yeah, if we wanted to start going out next week, we needed…
255 00:28:08.110 ⇒ 00:28:13.680 Hannah Wang: basically give people what to say about Mixpanel and edit the video and stuff.
256 00:28:13.800 ⇒ 00:28:14.970 Hannah Wang: But…
257 00:28:15.690 ⇒ 00:28:22.040 Hannah Wang: Okay, I’m getting ahead of myself. I’ll just get the green light from Utom, and then we can… we can chat and Slack.
258 00:28:22.550 ⇒ 00:28:35.300 Hannah Wang: Okay, thanks. That… I think that was all I wanted to say, and I’d probably also need to talk with their marketing team, too, just to make sure it’s okay.
259 00:28:36.870 ⇒ 00:28:40.529 Hannah Wang: Cool. I’m done. Anything else?
260 00:28:40.950 ⇒ 00:28:42.570 Hannah Wang: Anyone want to talk about it?
261 00:28:43.370 ⇒ 00:28:44.360 Luke Scorziell: Mmm…
262 00:28:45.600 ⇒ 00:28:50.090 Luke Scorziell: I think that’s all for me, I just am trying to… I have to get a couple of these campaigns.
263 00:28:52.110 ⇒ 00:28:59.300 Luke Scorziell: Done. And then, Ryan, I can… I know I haven’t really checked in too much with content with you, but…
264 00:28:59.440 ⇒ 00:29:00.030 Luke Scorziell: Can do that.
265 00:29:00.030 ⇒ 00:29:07.579 Ryan Brosas: Yeah. Yeah, I’m stuck, on the, like, what do they call this? The profile views.
266 00:29:08.270 ⇒ 00:29:10.089 Ryan Brosas: Yeah,
267 00:29:10.550 ⇒ 00:29:16.019 Ryan Brosas: So, yeah, I’m kind of stuck on the, what do you call this? The profile views campaign,
268 00:29:16.990 ⇒ 00:29:23.530 Ryan Brosas: Yeah, it’s kind of like not providing, all the stuff that needed, or… well, it’s…
269 00:29:24.130 ⇒ 00:29:33.809 Ryan Brosas: I needed to be… I need to filter something out and add the input of, thumb, which is…
270 00:29:33.830 ⇒ 00:29:44.420 Ryan Brosas: it should be, like, ICP, so that’s, like, a change on… on what I hope so, because it should be, like, even if it’s not ICP, we should be…
271 00:29:44.540 ⇒ 00:29:51.589 Ryan Brosas: interacting, because that’s, like, a plus one for us for, like.
272 00:29:52.190 ⇒ 00:29:56.499 Ryan Brosas: On the platform, because, if you are on the platform more.
273 00:29:56.760 ⇒ 00:30:02.220 Ryan Brosas: Linkedin will reward you more. But yeah, if that is…
274 00:30:02.550 ⇒ 00:30:05.989 Ryan Brosas: Something that we need to, like, distill.
275 00:30:06.660 ⇒ 00:30:17.369 Ryan Brosas: Yeah, I’m just, making, like, an easy process on Clay, so everybody can, do this as well.
276 00:30:26.830 ⇒ 00:30:31.409 Luke Scorziell: And, like, all the posts and stuff for this week are still… are good to go? Or…
277 00:30:32.360 ⇒ 00:30:41.709 Ryan Brosas: For this week, I just need some images for Robert’s side. I just need some, like, feedback from you, it’s on the…
278 00:30:42.120 ⇒ 00:30:43.200 Ryan Brosas: Ordinal.
279 00:30:43.630 ⇒ 00:30:56.789 Ryan Brosas: And I think most of it is good to go, and I just need some reiteration for the Friday post. I’ll just add something on it, because we didn’t really post last week.
280 00:30:57.160 ⇒ 00:30:59.160 Ryan Brosas: For the weekly win.
281 00:30:59.470 ⇒ 00:31:17.299 Ryan Brosas: But, yeah, I think that’s pretty much it. I just need to ready up the posts for next week, so, there’s no, like, I can, batch schedule them, and just focus on commenting before the… before the time of, like, the scheduled posts.
282 00:31:17.800 ⇒ 00:31:19.110 Luke Scorziell: Okay.
283 00:31:19.450 ⇒ 00:31:26.880 Luke Scorziell: That sounds good. Well, let me… I’ll hop off and finish this brief, and then…
284 00:31:29.190 ⇒ 00:31:34.140 Luke Scorziell: And that should give some more content, too, that we can do, so… .
285 00:31:34.140 ⇒ 00:31:35.270 Ryan Brosas: Yeah, I appreciate that.
286 00:31:36.130 ⇒ 00:31:36.720 Luke Scorziell: Right.
287 00:31:37.660 ⇒ 00:31:39.599 Hannah Wang: Alright, thank you guys.
288 00:31:39.600 ⇒ 00:31:40.800 Luke Scorziell: Yeah, thank you.
289 00:31:41.010 ⇒ 00:31:42.600 Hannah Wang: Okay, talk soon. Bye.