Meeting Title: GTM Team Weekly Sync Date: 2025-12-17 Meeting participants: Fireflies.ai Notetaker Joules, Luke’s Notetaker, Luke Scorziell, Hannah Wang, Joules Asuncion, Ryan Brosas
WEBVTT
1 00:04:07.670 ⇒ 00:04:10.559 Luke Scorziell: What? $106 million sale.
2 00:04:14.970 ⇒ 00:04:15.730 Luke Scorziell: Sell.
3 00:04:23.710 ⇒ 00:04:29.320 Luke Scorziell: is where people die. So, fundamentally, all businesses have the cost of getting customers and what you make from
4 00:05:28.560 ⇒ 00:05:29.340 Luke Scorziell: Hey, Hannah.
5 00:05:29.340 ⇒ 00:05:30.889 Hannah Wang: Hey, how’s it going?
6 00:05:31.650 ⇒ 00:05:33.069 Luke Scorziell: Good, how are you feeling?
7 00:05:33.760 ⇒ 00:05:35.709 Hannah Wang: Not great today.
8 00:05:35.950 ⇒ 00:05:36.520 Luke Scorziell: How you doing?
9 00:05:36.520 ⇒ 00:05:41.130 Hannah Wang: It’s okay, I… Ugh, yeah.
10 00:05:41.130 ⇒ 00:05:41.970 Joules Asuncion: 15.
11 00:05:42.860 ⇒ 00:05:44.870 Hannah Wang: Sorry. Oh, hi.
12 00:05:44.870 ⇒ 00:05:47.920 Joules Asuncion: Hi, hi Hannah, how are you doing? You feel okay?
13 00:05:48.560 ⇒ 00:05:55.210 Hannah Wang: not really, but… That’s okay.
14 00:05:55.270 ⇒ 00:05:58.449 Luke Scorziell: I think we can keep this meeting sh-.
15 00:05:58.450 ⇒ 00:06:05.860 Hannah Wang: short, if… If we don’t have much to talk about, I don’t know if Ryan’s gonna join, but…
16 00:06:06.190 ⇒ 00:06:08.140 Hannah Wang: Basically, just wanted to…
17 00:06:08.270 ⇒ 00:06:24.179 Hannah Wang: have, like, a midweek sync for all of us, just so that, Ryan and I can kind of unblock you, and if you have any questions or things you want to discuss, we can do that. So, Luke, I was gonna ask you about the…
18 00:06:24.310 ⇒ 00:06:26.270 Hannah Wang: campaigns, but I…
19 00:06:26.380 ⇒ 00:06:31.190 Hannah Wang: I just logged on, actually, and I see that you’ve been pretty active in the…
20 00:06:31.290 ⇒ 00:06:43.020 Hannah Wang: The channel, so, do you have everything you feel like you need from that end to kind of work on not only the campaigns, but also just everything else?
21 00:06:43.990 ⇒ 00:06:50.730 Luke Scorziell: Yeah, I think, I know Tom had some other suggestions about the messaging, but then talking to Robert, he thought maybe he just…
22 00:06:51.090 ⇒ 00:06:52.969 Luke Scorziell: Like, going to…
23 00:06:54.520 ⇒ 00:07:03.479 Luke Scorziell: like, shipping fast would be better than just trying to get it perfect, and so… but then Ryan and I were talking, and there’s… we weren’t sure if it even made sense to send
24 00:07:03.960 ⇒ 00:07:11.210 Luke Scorziell: Or start a campaign now, right before the holidays, or if now is still a fine time? I know we’re, like, a week out from Christmas, so…
25 00:07:11.460 ⇒ 00:07:11.840 Hannah Wang: Yeah.
26 00:07:13.160 ⇒ 00:07:13.940 Hannah Wang: Hmm.
27 00:07:13.940 ⇒ 00:07:17.340 Luke Scorziell: Do you have thoughts or experience on how y’all have done that in the past?
28 00:07:18.670 ⇒ 00:07:28.219 Hannah Wang: Yeah, and I don’t… this is my first holiday season at Brainforge, so I don’t really know what we did last year, but…
29 00:07:28.840 ⇒ 00:07:33.559 Hannah Wang: I… Let’s see, Christmas is next week.
30 00:07:33.760 ⇒ 00:07:39.240 Hannah Wang: Yeah, unless we make the sequences, like, really…
31 00:07:39.400 ⇒ 00:07:44.880 Hannah Wang: Rapid, like, sending them every day, basically, all 3 messages.
32 00:07:45.210 ⇒ 00:07:52.859 Hannah Wang: like, unless we do that, I feel like the messages are gonna get lost, and people are gonna check
33 00:07:53.570 ⇒ 00:08:01.670 Hannah Wang: Probably only in the new year. Yeah, because next Thursday is…
34 00:08:03.020 ⇒ 00:08:08.320 Hannah Wang: Christmas, and I’m assuming people are starting to take time off starting next week.
35 00:08:08.940 ⇒ 00:08:14.850 Hannah Wang: So… Yeah, maybe you can just ask them what they think.
36 00:08:14.970 ⇒ 00:08:21.849 Hannah Wang: think. Like, I’ve had the same thought, too. Like, launching something now, I feel like it’s too close to the…
37 00:08:22.040 ⇒ 00:08:33.620 Hannah Wang: End of the year, and even if people do check after Christmas, like, the week after is the new year, and I feel like people just take all of that time off, basically, and we’re also off.
38 00:08:36.370 ⇒ 00:08:40.340 Luke Scorziell: Yeah. Okay. Well, I guess I’m, like, still doing…
39 00:08:41.830 ⇒ 00:08:51.530 Luke Scorziell: just learning and doing some, like, higher level thinking on the strategy overall and, like, positioning of Brainforge.
40 00:08:51.720 ⇒ 00:08:57.889 Luke Scorziell: So, like, the campaigns, I feel like, are important only if, like, you, Tom and Robert think they are to go
41 00:08:58.120 ⇒ 00:09:04.050 Luke Scorziell: go out, because otherwise I can invest the time Yeah, that I’ve…
42 00:09:04.450 ⇒ 00:09:09.829 Luke Scorziell: like, have right now into more, like, thinking of the strategy and positioning of Brainforge, so…
43 00:09:10.910 ⇒ 00:09:27.170 Hannah Wang: Yeah, I feel like the two campaigns that I walked you through yesterday, I mean, ideally, they would have gone out, like, last month, so I feel like I just bring it up every week because it’s in the backlog, but I also do think it makes sense to wait until after the holidays.
44 00:09:27.270 ⇒ 00:09:30.770 Hannah Wang: So maybe you can just propose that to…
45 00:09:31.060 ⇒ 00:09:34.620 Hannah Wang: to Robert and Utom and see what they think, and then…
46 00:09:34.990 ⇒ 00:09:40.159 Hannah Wang: Once you get an answer, you can just pivot and work on other things.
47 00:09:41.170 ⇒ 00:09:42.829 Luke Scorziell: Okay, yeah, that sounds good.
48 00:09:43.420 ⇒ 00:09:51.030 Hannah Wang: Yeah, I know Tom’s pretty fast to respond. I know Robert, I think he’s out, so…
49 00:09:51.650 ⇒ 00:09:59.559 Hannah Wang: just see what he thinks. Okay, cool. And then… Jed, I know you’re…
50 00:09:59.980 ⇒ 00:10:13.579 Hannah Wang: or at least the stuff that’s related to me, you’re trying to do, like, the nurturing for the middle of the funnel people. Do you need my help with that, or how’s it going?
51 00:10:14.330 ⇒ 00:10:23.799 Joules Asuncion: Yeah, I actually do this, campaign, like the AICX Summit, as we, like, we discussed yesterday, right? And I think all of…
52 00:10:25.050 ⇒ 00:10:28.359 Joules Asuncion: All of the featured speaker is already tapped in.
53 00:10:28.920 ⇒ 00:10:44.159 Joules Asuncion: Or they already had, like, a connection invitation, or, like, a connect invitation. Yeah. So what I’m trying to do is, like, lead scoring them if their ICP fit, or if they are accepted the connection.
54 00:10:46.260 ⇒ 00:10:52.650 Hannah Wang: Okay, yeah, and I think if they are an ICP fit, I think what Robert’s kind of looking for is for you to…
55 00:10:52.820 ⇒ 00:10:56.870 Hannah Wang: Do the next step in the messaging.
56 00:10:57.790 ⇒ 00:11:01.450 Hannah Wang: I guess this is similar to what… Lucas?
57 00:11:01.790 ⇒ 00:11:09.369 Hannah Wang: working on… well, yeah, they all involve messaging, but I know there’s, like, different playbooks.
58 00:11:09.840 ⇒ 00:11:19.230 Hannah Wang: And maybe the campaign… Playbook is different than the event playbook, but… Yeah, maybe after you…
59 00:11:19.350 ⇒ 00:11:24.379 Hannah Wang: score them based on ICP qualification, you can…
60 00:11:24.510 ⇒ 00:11:30.790 Hannah Wang: Just start to send messages, and then add them to the… the tracker, yeah.
61 00:11:31.620 ⇒ 00:11:35.130 Hannah Wang: Yeah, so…
62 00:11:35.460 ⇒ 00:11:40.259 Hannah Wang: Okay, yeah, feel free to loop me in if you need my help there, but I think…
63 00:11:40.770 ⇒ 00:11:46.009 Hannah Wang: just feel free to experiment, and also, I think…
64 00:11:46.360 ⇒ 00:11:53.110 Hannah Wang: Maybe you can mess… reach out to Luke if you need, like, help with…
65 00:11:53.620 ⇒ 00:11:57.429 Hannah Wang: strategizing what type… what stuff to say. Sorry, Luke.
66 00:11:57.430 ⇒ 00:11:57.810 Joules Asuncion: -H.
67 00:11:57.810 ⇒ 00:12:05.359 Hannah Wang: looped you into it, but basically, like, to give you more context, there’s this event campaign that we ran, it’s called
68 00:12:05.480 ⇒ 00:12:22.459 Hannah Wang: it was, like, an AI customer experience summit, and we sent, like, an automated connection request to a bunch of folks, and I think what Robert wants Judd to do is to nurture the leads that are within our ICP.
69 00:12:22.860 ⇒ 00:12:31.250 Hannah Wang: So it’s, like, kind of similar in the sense… to what you’re doing, or you’re helping out with in the sense of, like, messaging, but…
70 00:12:31.690 ⇒ 00:12:36.040 Hannah Wang: Yeah, I guess this is where I’m, like, a little bit not sure…
71 00:12:36.370 ⇒ 00:12:44.919 Hannah Wang: who does what? I guess Luke can help with the strategy, but I guess the actual execution is… is Jed, so…
72 00:12:45.810 ⇒ 00:12:46.369 Joules Asuncion: Huh.
73 00:12:46.370 ⇒ 00:12:48.670 Hannah Wang: Anyway, yeah, you can…
74 00:12:49.270 ⇒ 00:13:02.239 Hannah Wang: just message in the GoToMarket channel if you have any questions or want to get input from not only us, but also Utam and Robert. Yeah, I think they’re…
75 00:13:03.690 ⇒ 00:13:08.329 Hannah Wang: They invite questions, I think.
76 00:13:09.420 ⇒ 00:13:10.410 Hannah Wang: Yeah, so…
77 00:13:11.060 ⇒ 00:13:18.880 Hannah Wang: even if you think it’s stupid, it’s probably not, and I think they’d rather see us ask questions than be stuck, so…
78 00:13:19.420 ⇒ 00:13:20.030 Joules Asuncion: Gotcha.
79 00:13:20.030 ⇒ 00:13:20.520 Hannah Wang: Yeah.
80 00:13:20.520 ⇒ 00:13:26.419 Joules Asuncion: Yeah, and I think we have, like, a lot of examples here, like, there’s some previous campaigns that, you know.
81 00:13:26.870 ⇒ 00:13:32.380 Joules Asuncion: That we have touch base with. So, that’s what I’m using as a knowledge base for now.
82 00:13:32.790 ⇒ 00:13:43.080 Hannah Wang: Okay, yeah, I… I think I did a lot of those, and like I said, I… I was also experimenting, and it might not necessarily be the right thing to do, so…
83 00:13:43.080 ⇒ 00:13:43.640 Joules Asuncion: Yeah.
84 00:13:43.640 ⇒ 00:13:50.099 Hannah Wang: you can feel free to switch it up, kind of like what Luke’s proposing. He’s, like, switching things up and stuff, so…
85 00:13:50.560 ⇒ 00:13:51.170 Joules Asuncion: Yeah.
86 00:13:51.830 ⇒ 00:13:55.730 Hannah Wang: Okay, anything else?
87 00:13:56.210 ⇒ 00:14:00.539 Hannah Wang: That you guys need our help with.
88 00:14:01.270 ⇒ 00:14:08.380 Joules Asuncion: Hmm… Ryan helped me earlier, for these campaigns. So, yeah.
89 00:14:08.380 ⇒ 00:14:09.740 Hannah Wang: I think I’m all good.
90 00:14:10.400 ⇒ 00:14:11.060 Hannah Wang: Okay.
91 00:14:12.710 ⇒ 00:14:18.810 Luke Scorziell: Yeah, I think good for now, and yeah, maybe, Jed, you and I can set up a time to just go through those campaigns and…
92 00:14:19.120 ⇒ 00:14:20.120 Joules Asuncion: Yeah, for sure.
93 00:14:20.940 ⇒ 00:14:21.829 Joules Asuncion: For sure.
94 00:14:22.490 ⇒ 00:14:23.150 Luke Scorziell: So…
95 00:14:24.030 ⇒ 00:14:31.750 Hannah Wang: Yeah, and if you need more context to them, like, Happy to…
96 00:14:32.040 ⇒ 00:14:42.400 Hannah Wang: try to join. Basically, there’s, like, playbooks everywhere. Like, in Figma, in Google Sheets and stuff, and I feel like we’ve been trying a bunch of different things, so…
97 00:14:42.450 ⇒ 00:14:45.529 Joules Asuncion: The knowledge bases are kind of scattered everywhere, so…
98 00:14:47.270 ⇒ 00:14:47.950 Joules Asuncion: Yeah.
99 00:14:49.490 ⇒ 00:14:57.870 Hannah Wang: Yeah, or… I have 20 minutes left, I… Guess…
100 00:14:58.530 ⇒ 00:15:11.669 Hannah Wang: I can run through really quickly what we’ve been doing for the… Event campaigns, let me…
101 00:15:12.320 ⇒ 00:15:14.869 Luke Scorziell: Yeah, if you feel up to it, if not, it’s totally fine.
102 00:15:16.780 ⇒ 00:15:26.799 Hannah Wang: That’s okay, I’d rather do it now than be, like, a blocker later, because I don’t want me to be my… me and my condition to be the hindrance, too.
103 00:15:27.450 ⇒ 00:15:30.410 Hannah Wang: To you guys being able to figure out
104 00:15:30.520 ⇒ 00:15:38.050 Hannah Wang: Stuff. It’ll be really quick, I’ll just pull up a quick Figma thing, if Figma cooperates.
105 00:15:39.050 ⇒ 00:15:46.869 Hannah Wang: And I linked this in Jed’s onboarding doc, so he should also have the link to it,
106 00:15:52.370 ⇒ 00:15:58.169 Hannah Wang: Jed, do you know what I’m talking about, right? I’m, like, forgetting the name of the file, of, like, the diagram.
107 00:15:58.170 ⇒ 00:16:01.009 Joules Asuncion: Sigma? Yeah, yeah, I have it in me. I’ll hold on.
108 00:16:04.090 ⇒ 00:16:06.810 Hannah Wang: Sorry if I’m not making any sense right now.
109 00:16:07.920 ⇒ 00:16:08.450 Luke Scorziell: Good.
110 00:16:09.100 ⇒ 00:16:10.440 Joules Asuncion: It’s okay. You’re all good.
111 00:16:10.440 ⇒ 00:16:11.320 Hannah Wang: Thanks, huh?
112 00:16:11.320 ⇒ 00:16:12.620 Joules Asuncion: Here.
113 00:16:13.280 ⇒ 00:16:16.649 Joules Asuncion: I messaged it in our Zoom chat.
114 00:16:16.800 ⇒ 00:16:18.589 Joules Asuncion: Okay, great. Let me know if you see it.
115 00:16:18.590 ⇒ 00:16:20.000 Hannah Wang: Yeah, thanks.
116 00:16:22.330 ⇒ 00:16:31.190 Hannah Wang: Okay, so yeah, just real quickly, I can share my screen, but… These diagrams are not, like…
117 00:16:31.790 ⇒ 00:16:40.629 Hannah Wang: the best. I feel like I tried to document my thought processes, but I think they’re all over the place, honestly. But…
118 00:16:40.780 ⇒ 00:16:43.060 Hannah Wang: Essentially, like, for the events.
119 00:16:43.250 ⇒ 00:16:53.550 Hannah Wang: I broke it down to, the sequence for the speaker, and then the sequence for the attendee, but I feel like they’re kind of basically the same thing, and…
120 00:16:53.660 ⇒ 00:17:01.240 Hannah Wang: the more I started working on this, I relied less on this and just kind of went with my intuition. But…
121 00:17:02.220 ⇒ 00:17:13.260 Hannah Wang: for Jed, a refresher and for Luke, kind of what the strategy has been is basically, like, we send a connection request and, say, like.
122 00:17:13.569 ⇒ 00:17:20.590 Hannah Wang: Something like, oh, sorry, I missed you, like…
123 00:17:20.790 ⇒ 00:17:31.930 Hannah Wang: Hope you had a good time at the conference, would love to swap notes with what you learned at the conference, or something like that. So that’d be, like, the first type of sequence.
124 00:17:31.930 ⇒ 00:17:43.259 Hannah Wang: First message, maybe another message, if we actually went to the conference, is saying, like, oh, basically having a takeaway from their session, if they’re a speaker.
125 00:17:43.380 ⇒ 00:17:48.089 Hannah Wang: And then saying kind of a similar thing. So that’s kind of, like, the first
126 00:17:48.650 ⇒ 00:17:54.670 Hannah Wang: Message that we send, and then the second touch is kind of…
127 00:17:55.870 ⇒ 00:18:08.389 Hannah Wang: like, I think at this point, Robert emphasized sending 3 of our assets, the first one being our website, the second one being, like, a relevant case study, and then the third, last touch being, like.
128 00:18:08.740 ⇒ 00:18:13.980 Hannah Wang: our capabilities decks. So that’s why the second message here is, like.
129 00:18:14.320 ⇒ 00:18:21.160 Hannah Wang: Hey, we, like, recently came up with this case study, thought you might find it interesting, here’s the link.
130 00:18:21.300 ⇒ 00:18:28.140 Hannah Wang: And then throwing, like, another question so that the ball’s in their court. So that’s kind of, like, the…
131 00:18:28.610 ⇒ 00:18:34.900 Hannah Wang: second message that I would usually send, and then the last one is kind of the last touch.
132 00:18:35.090 ⇒ 00:18:36.330 Hannah Wang: It’s like, hey.
133 00:18:36.490 ⇒ 00:18:47.130 Hannah Wang: Not a good time, I got the message. I’ll leave a short blurb of what we do, in case we can be helpful later. Here’s our intro deck if you want a deeper dive.
134 00:18:47.430 ⇒ 00:18:54.359 Hannah Wang: And then leaving it at that, so that they kind of have everything about our company. So that’s…
135 00:18:54.610 ⇒ 00:19:02.349 Hannah Wang: kind of the sequence that I’ve used, and I think maybe what a better thing to do would be to share
136 00:19:03.370 ⇒ 00:19:05.970 Hannah Wang: An actual example.
137 00:19:06.550 ⇒ 00:19:09.359 Hannah Wang: From Robert’s LinkedIn, so…
138 00:19:12.440 ⇒ 00:19:20.720 Hannah Wang: Sorry if I already showed you this, but basically, we… Went after a conference.
139 00:19:21.380 ⇒ 00:19:29.270 Hannah Wang: called Adweek New York, and the CEO of Sweet Lauren, she’s like a… it’s a cookie pack… cookie company, basically, that’s, like.
140 00:19:29.740 ⇒ 00:19:42.860 Hannah Wang: like, a cookie dough company that is in stores, so this is our connection message, and I feel like, like I mentioned before, we’ve had a lot of success with event
141 00:19:43.110 ⇒ 00:19:50.000 Hannah Wang: Connection acceptances, just because maybe, yeah, if we’re going to the same conference, they’re more willing to accept
142 00:19:50.340 ⇒ 00:19:51.590 Hannah Wang: And connect.
143 00:19:51.740 ⇒ 00:20:01.500 Hannah Wang: And then… This was my attempt at making the message relevant, but something like their, event.
144 00:20:01.930 ⇒ 00:20:04.159 Hannah Wang: Talk was about how
145 00:20:04.860 ⇒ 00:20:11.560 Hannah Wang: a mishap turned into an opportunity, so… I was like, oh, I missed your session, but, like, what a creative way to pivot.
146 00:20:11.560 ⇒ 00:20:25.349 Hannah Wang: Would love to hear more and swap notes, and then leaving the link, and then the second message, oh, thought you’d find my… thought you’d find this case study interesting, and then I try to find a relevant case study.
147 00:20:25.390 ⇒ 00:20:30.729 Hannah Wang: And then, like, a question, and then the last message is.
148 00:20:31.100 ⇒ 00:20:38.070 Hannah Wang: yeah, got it, not a good time, and leaving our blurb, in the intro deck. So…
149 00:20:38.330 ⇒ 00:20:39.880 Hannah Wang: That’s kind of what…
150 00:20:40.140 ⇒ 00:20:50.990 Hannah Wang: I’ve tried to do, but I feel like there hasn’t been much success with this type of messaging, honestly. And I didn’t really strategize new ways to
151 00:20:51.370 ⇒ 00:20:56.669 Hannah Wang: yeah, message these folks that go to conferences. So, the ask…
152 00:20:57.190 ⇒ 00:21:01.020 Hannah Wang: for… from Robert for Judd was to…
153 00:21:01.220 ⇒ 00:21:13.300 Hannah Wang: Just do the first touch for everyone in the… AICX Summit campaign. Yeah. And this is post.
154 00:21:13.440 ⇒ 00:21:16.009 Luke Scorziell: So, you sent the connection.
155 00:21:16.650 ⇒ 00:21:22.470 Luke Scorziell: Connected, and then did… because she looked at this first message, but she didn’t look at any of the other messages.
156 00:21:22.550 ⇒ 00:21:27.720 Hannah Wang: Yeah, probably figured we’re, like, spammy or something, or trying to sell, or whatever.
157 00:21:27.720 ⇒ 00:21:32.300 Luke Scorziell: Because I wonder, like, cause… so, if you click on her profile, she does…
158 00:21:32.470 ⇒ 00:21:35.219 Luke Scorziell: Like, cookie dough, right? So, Sweet Lawrence.
159 00:21:35.520 ⇒ 00:21:37.980 Luke Scorziell: Yeah, like, I feel like it’d be really interesting when it’d be like.
160 00:21:38.090 ⇒ 00:21:41.999 Luke Scorziell: I mean, obviously, that’s kind of hard because there’s, like, you know.
161 00:21:43.210 ⇒ 00:21:50.649 Luke Scorziell: the more personalized you get, the, like, less scalable it is in terms of outreach, but also, I feel like, the better response rate.
162 00:21:50.650 ⇒ 00:21:51.100 Hannah Wang: Yep.
163 00:21:51.100 ⇒ 00:21:54.890 Luke Scorziell: So even just saying, like, hey, saw your, like… because Robert went to USC too, right?
164 00:21:56.340 ⇒ 00:21:58.020 Hannah Wang: Rubber went to… which one?
165 00:21:58.020 ⇒ 00:21:59.310 Luke Scorziell: USC. Didn’t…
166 00:21:59.310 ⇒ 00:22:00.540 Hannah Wang: Yep,
167 00:22:00.890 ⇒ 00:22:01.300 Luke Scorziell: Sorry, Evan.
168 00:22:01.300 ⇒ 00:22:01.720 Hannah Wang: I’m just like.
169 00:22:01.720 ⇒ 00:22:02.340 Luke Scorziell: Oh my god.
170 00:22:02.460 ⇒ 00:22:06.579 Luke Scorziell: Hey, like, saw you went to USC, sign on.
171 00:22:06.730 ⇒ 00:22:07.390 Hannah Wang: Hahh.
172 00:22:07.390 ⇒ 00:22:13.220 Luke Scorziell: Like, we also… we work with Insomnia Cookies, and I’d love to show you, like.
173 00:22:13.220 ⇒ 00:22:13.810 Hannah Wang: Mmm.
174 00:22:13.810 ⇒ 00:22:15.289 Luke Scorziell: Some of what we’re doing for them.
175 00:22:15.470 ⇒ 00:22:16.310 Hannah Wang: Yeah.
176 00:22:16.980 ⇒ 00:22:20.410 Luke Scorziell: But I don’t know how to turn that into a more scalable
177 00:22:20.800 ⇒ 00:22:25.350 Luke Scorziell: Like, I feel like we could even follow up and say something like that, like… I mean, I guess it’s been a while, but like…
178 00:22:25.350 ⇒ 00:22:25.970 Hannah Wang: Yeah.
179 00:22:26.680 ⇒ 00:22:27.250 Luke Scorziell: You know.
180 00:22:27.250 ⇒ 00:22:34.120 Hannah Wang: I don’t know if back in October we were working with Insomnia, but that’s a good point that we could maybe even follow up.
181 00:22:34.120 ⇒ 00:22:37.890 Luke Scorziell: The later one says clients include insomnia.
182 00:22:37.890 ⇒ 00:22:40.620 Hannah Wang: Wow, yeah, I didn’t even…
183 00:22:41.120 ⇒ 00:22:44.960 Hannah Wang: think about that. I mean, I guess they’re kind of different, because this is like a…
184 00:22:45.080 ⇒ 00:22:52.550 Hannah Wang: product in a store versus, like… I think Insomnia just sells cookies, but… so maybe that’s why I didn’t make the…
185 00:22:52.650 ⇒ 00:22:58.480 Hannah Wang: connection, because Sweet Lawrence is, like, a CPG product, and Insomnia.
186 00:22:58.660 ⇒ 00:23:00.150 Hannah Wang: Yeah. It’s just…
187 00:23:00.910 ⇒ 00:23:03.279 Luke Scorziell: Oh, sorry, can you go back to her…
188 00:23:04.200 ⇒ 00:23:04.860 Hannah Wang: Yeah.
189 00:23:05.020 ⇒ 00:23:11.379 Luke Scorziell: I started Sweet Lauren, or maybe go up to her, description.
190 00:23:12.740 ⇒ 00:23:18.470 Luke Scorziell: Started Sweet Lawrence 13 years ago after a cancer diagnosis in my early 20s inspired me to rethink my relationship with food.
191 00:23:18.790 ⇒ 00:23:24.569 Luke Scorziell: I cut out highly processed and artificial ingredients from my diet, but I wasn’t about to give up my sweet tooth, da-da-da.
192 00:23:29.760 ⇒ 00:23:32.200 Luke Scorziell: Yeah, I mean, she’s got a pretty powerful…
193 00:23:33.740 ⇒ 00:23:40.120 Luke Scorziell: Sorry, so just, I don’t know, like, and you guys can tell me what you think, too, and sorry if I’m digging, but just, like.
194 00:23:40.540 ⇒ 00:23:46.230 Luke Scorziell: Somehow, finding ways to incorporate You know, some of the things…
195 00:23:47.260 ⇒ 00:23:52.460 Luke Scorziell: that she has, again, I don’t know, like, I guess we could use, like, a GPT or something to scale that, but…
196 00:23:53.060 ⇒ 00:23:53.610 Hannah Wang: Yeah.
197 00:23:53.610 ⇒ 00:23:55.339 Luke Scorziell: In terms of an outreach thing, like.
198 00:23:56.570 ⇒ 00:23:59.590 Luke Scorziell: We’ve got so many… or we’ve already got two.
199 00:24:00.160 ⇒ 00:24:02.389 Luke Scorziell: 3, I guess, because we went to the same event.
200 00:24:03.050 ⇒ 00:24:08.179 Luke Scorziell: like… Touchpoints with this… this lead.
201 00:24:08.310 ⇒ 00:24:11.149 Luke Scorziell: Or, like, related things.
202 00:24:12.830 ⇒ 00:24:20.890 Hannah Wang: Yeah, like, I think maybe looking back, like, I was just in execution mode when I did these, because there were a bunch of others.
203 00:24:20.890 ⇒ 00:24:26.020 Luke Scorziell: Totally not criticizing, like, you’re at all, just kind of brainstorming for the, yeah, what we could do.
204 00:24:26.020 ⇒ 00:24:27.770 Hannah Wang: Yeah, totally. I think…
205 00:24:28.010 ⇒ 00:24:33.920 Hannah Wang: I was just in a very more, like, rigid mindset, but yeah, it’s just making it more personalized, and…
206 00:24:34.410 ⇒ 00:24:38.549 Hannah Wang: sometimes even less about work, I feel like.
207 00:24:38.650 ⇒ 00:24:42.109 Hannah Wang: Just, like, building a relationship with someone is…
208 00:24:42.400 ⇒ 00:24:45.420 Hannah Wang: The way to… way to go.
209 00:24:46.050 ⇒ 00:24:49.129 Hannah Wang: But anyway, yeah, this is, like, kind of…
210 00:24:49.360 ⇒ 00:24:52.619 Hannah Wang: what we tried, or what I tried before, and I think
211 00:24:52.850 ⇒ 00:25:05.369 Hannah Wang: Robert is very open to just pivoting our messaging and trying different things. So, yeah, just wanted to give some context as to what, this
212 00:25:06.310 ⇒ 00:25:09.549 Hannah Wang: kind of messy diagram is. It doesn’t…
213 00:25:09.730 ⇒ 00:25:19.349 Hannah Wang: really makes sense, but Jed, like, what I did for her is kind of what I did for everyone else. Yeah.
214 00:25:19.500 ⇒ 00:25:20.340 Joules Asuncion: Excellent.
215 00:25:20.480 ⇒ 00:25:27.810 Hannah Wang: Yeah, so… Yeah, hopefully that gives more context, and yeah, Jed, like Luke said, you can…
216 00:25:28.140 ⇒ 00:25:33.750 Hannah Wang: Yeah, maybe find ways to get more… creative, or… Yeah.
217 00:25:34.330 ⇒ 00:25:39.990 Hannah Wang: I don’t know, I know it’s difficult if… yeah, like, it was hard for me too, so…
218 00:25:40.630 ⇒ 00:25:46.890 Hannah Wang: Anyway, okay, cool. Yeah, so, I think…
219 00:25:47.470 ⇒ 00:26:04.979 Hannah Wang: I have already said this before, but just sending, like, updates or being active in Slack, I think, will help, help us help you. So feel free to, even if it feels spammy, you can message everyone in the channel all the time, it’s okay.
220 00:26:05.920 ⇒ 00:26:09.969 Hannah Wang: Yeah. Cool. Anything else for today?
221 00:26:10.630 ⇒ 00:26:17.660 Luke Scorziell: Just… Being on that, I guess, Hannah, if you… or just, yeah, I’m just curious, from Jed’s perspective.
222 00:26:17.990 ⇒ 00:26:24.200 Luke Scorziell: Like, Jed, is there… are there ways that we can… Integrate more, like.
223 00:26:25.660 ⇒ 00:26:33.080 Luke Scorziell: I don’t know, look for some of those more, like, personalized outreach messages, or, like, did that conversation spark any ideas for you?
224 00:26:33.830 ⇒ 00:26:40.029 Joules Asuncion: Huh, that’s a good question. So what, what… I think what I can do about it is, like,
225 00:26:40.350 ⇒ 00:26:49.070 Joules Asuncion: Basically just combining all the prompts and, like, use cases, as well as, what’s their business about.
226 00:26:49.260 ⇒ 00:26:53.480 Joules Asuncion: And, like, from there, we can, like, at least tailor-fit
227 00:26:53.870 ⇒ 00:26:59.519 Joules Asuncion: All of the outreach for a specific customer, if that makes sense.
228 00:27:01.060 ⇒ 00:27:04.800 Luke Scorziell: Yeah, like, kind of have different rules and whatnot.
229 00:27:05.200 ⇒ 00:27:10.149 Luke Scorziell: Because… yeah, maybe this is a conversation I have with Robert or Tom, too, because I think…
230 00:27:10.630 ⇒ 00:27:13.820 Luke Scorziell: Yeah, like, this… the scale,
231 00:27:19.230 ⇒ 00:27:24.629 Luke Scorziell: Yeah, it’s like the scale versus… just… and sorry, I think I’m getting a little, like, on that one lead, but…
232 00:27:24.630 ⇒ 00:27:25.119 Joules Asuncion: Yeah, yeah, yeah.
233 00:27:25.120 ⇒ 00:27:26.930 Luke Scorziell: just the UFC connection, like.
234 00:27:27.310 ⇒ 00:27:27.870 Hannah Wang: Yeah.
235 00:27:28.520 ⇒ 00:27:29.210 Joules Asuncion: Yeah.
236 00:27:29.380 ⇒ 00:27:33.770 Luke Scorziell: like, 100%, I would say, like, the alumni connection would get a.
237 00:27:34.810 ⇒ 00:27:37.350 Joules Asuncion: Construction for that, for that one line.
238 00:27:37.350 ⇒ 00:27:44.530 Luke Scorziell: Yeah, I mean, it’s kind of particular to USC, but, like, Robert went there, and, like, I know that I’ve leveraged that for a lot of, like.
239 00:27:44.740 ⇒ 00:27:49.200 Luke Scorziell: Things, and the fact that she, like, looked at the message, even. Yeah.
240 00:27:49.510 ⇒ 00:27:52.769 Luke Scorziell: So, yeah, I don’t know, I can… Kind of start…
241 00:27:54.120 ⇒ 00:27:59.480 Luke Scorziell: Thinking around, but just because then getting on the phone, and then even if she doesn’t turn into a lead.
242 00:27:59.590 ⇒ 00:28:04.249 Joules Asuncion: Yeah. If she turns into someone that can kind of be an advocate, or refer us to someone else.
243 00:28:04.470 ⇒ 00:28:05.080 Luke Scorziell: Oh.
244 00:28:05.880 ⇒ 00:28:10.590 Luke Scorziell: You know? Yeah, yeah. So, but yeah, I’ll… I can… I don’t know, I don’t have any…
245 00:28:11.190 ⇒ 00:28:14.380 Luke Scorziell: Solid document, yeah, other than… Maybe.
246 00:28:14.750 ⇒ 00:28:17.120 Luke Scorziell: Yeah, finding a way that we can work that.
247 00:28:17.330 ⇒ 00:28:17.900 Luke Scorziell: And the.
248 00:28:17.900 ⇒ 00:28:31.630 Joules Asuncion: Yeah, I think… I think… I think I can… I can build something out, like, later today. I will send it out for review for all of you guys, so, you know, I can have, like, a feedback or thoughts on what you think.
249 00:28:32.310 ⇒ 00:28:34.409 Joules Asuncion: on how I touch base with customer.
250 00:28:35.080 ⇒ 00:28:35.720 Luke Scorziell: Okay.
251 00:28:36.450 ⇒ 00:28:42.389 Hannah Wang: Yeah, sure, and, like, I… when I was doing this, like, cause Robert, he…
252 00:28:42.990 ⇒ 00:28:45.539 Hannah Wang: Well, I don’t think he tries to…
253 00:28:46.220 ⇒ 00:29:00.550 Hannah Wang: explicitly say all this, but I feel like he said it. He’s going to school right now, he goes to Fordham in New York, and I’ve seen a couple, leads who also went to Fordham, not for law school, but for, like, business school, for example, and I…
254 00:29:00.550 ⇒ 00:29:08.820 Hannah Wang: I was too trickened to, like, use that as, like, a leverage. So, yeah, even… yeah, there’s USC, there’s Fordham,
255 00:29:09.170 ⇒ 00:29:11.359 Hannah Wang: Yeah, like, the more you…
256 00:29:12.290 ⇒ 00:29:19.060 Hannah Wang: just, like, get more personalized, I feel like that’s kind of what gets people to talk to you, versus…
257 00:29:19.060 ⇒ 00:29:19.500 Joules Asuncion: Yay.
258 00:29:19.500 ⇒ 00:29:20.970 Hannah Wang: Sounding like a robot.
259 00:29:21.240 ⇒ 00:29:26.069 Hannah Wang: Which, which is hard. And I feel like… for messaging…
260 00:29:26.510 ⇒ 00:29:37.770 Hannah Wang: it’s hard to use, like, a GPT, because I feel like AI makes everything very generalized, unless you make the prompt really good. So that’s why I haven’t used, like.
261 00:29:38.120 ⇒ 00:29:55.069 Hannah Wang: AI for a lot of the messaging stuff, because I just feel like it’s hard to use it, and I think the human creative brain is more useful. Efficient, yeah, yeah. But anyway, yeah, feel free to draft up, like, a doc of what you think, and then we can…
262 00:29:55.350 ⇒ 00:29:56.980 Hannah Wang: Put our input there.
263 00:29:56.980 ⇒ 00:30:01.520 Joules Asuncion: Yeah, for sure. I think I’m going to put it in Notion or Linear instead.
264 00:30:02.260 ⇒ 00:30:04.969 Hannah Wang: Notion is a good place to document stuff.
265 00:30:04.970 ⇒ 00:30:05.650 Joules Asuncion: Yeah, yeah.
266 00:30:07.370 ⇒ 00:30:08.240 Hannah Wang: Alright.
267 00:30:08.820 ⇒ 00:30:19.119 Hannah Wang: Well, yeah, good chat, everyone, and thank you for all the work. I know it’s close to the holidays, and it’s hard to… at least for me, hard to focus, but we’re almost there, so…
268 00:30:19.590 ⇒ 00:30:20.000 Joules Asuncion: Yeah.
269 00:30:20.000 ⇒ 00:30:21.809 Hannah Wang: For, like, a week.
270 00:30:22.090 ⇒ 00:30:22.860 Joules Asuncion: here.
271 00:30:22.860 ⇒ 00:30:23.270 Luke Scorziell: Yeah.
272 00:30:23.270 ⇒ 00:30:24.089 Joules Asuncion: Best push.
273 00:30:24.440 ⇒ 00:30:24.810 Hannah Wang: Yeah.
274 00:30:25.200 ⇒ 00:30:28.130 Joules Asuncion: That’s true.
275 00:30:28.130 ⇒ 00:30:29.000 Hannah Wang: Alrighty, bro.
276 00:30:29.000 ⇒ 00:30:31.590 Joules Asuncion: Well, thank you so much, team. Bye for now.
277 00:30:31.590 ⇒ 00:30:32.790 Luke Scorziell: Thanks, bye.