Meeting Title: GTM Midweek Check-In Date: 2025-09-17 Meeting participants: Hannah Wang, Ryan Brosas
WEBVTT
1 00:00:41.710 ⇒ 00:00:42.670 Ryan Brosas: Hey.
2 00:00:43.750 ⇒ 00:00:44.800 Hannah Wang: Hi.
3 00:00:44.960 ⇒ 00:00:52.820 Hannah Wang: I don’t know if they’ll join, but we can just do a quick Update, just us two.
4 00:00:53.010 ⇒ 00:01:02.320 Hannah Wang: So… Yeah, I think ShopTalk is going well. Thanks for sending over the contacts and everything for them.
5 00:01:02.440 ⇒ 00:01:11.170 Hannah Wang: And… for… the other two campaigns, they’re ABC and Urban Stems, right?
6 00:01:12.160 ⇒ 00:01:22.670 Ryan Brosas: Yes, I’m still just waiting for the Urban Stamps case study, so I can write the copy for that and send the brief, and we can push that campaign out.
7 00:01:23.030 ⇒ 00:01:24.700 Hannah Wang: Okay, and then…
8 00:01:26.460 ⇒ 00:01:36.739 Hannah Wang: For ABC, I asked for a review, but they’re… they’re so busy, so I’ll try to remind them to do that, soon. And…
9 00:01:37.060 ⇒ 00:01:39.839 Ryan Brosas: For ABC, what’s the update on that?
10 00:01:41.230 ⇒ 00:01:49.669 Ryan Brosas: Well, for the email campaign, it’s pretty much the same, we don’t… we didn’t really have responses, but…
11 00:01:49.780 ⇒ 00:02:08.810 Ryan Brosas: on the Harish campaign, it’s… it looks promising. It… some of them are connecting with us. I think a follow-up would be nicer. I think, it’s because it’s LinkedIn. I think that’s much more, like, we have more…
12 00:02:08.940 ⇒ 00:02:23.710 Ryan Brosas: what do you call this? Credibility or authority on what we’re offering, so I think that really helped us on connecting on these, leads, like… like, Dolores Ferguson. I think a follow-up is needed on here.
13 00:02:24.240 ⇒ 00:02:25.870 Hannah Wang: I’m gonna… let me…
14 00:02:26.510 ⇒ 00:02:34.229 Hannah Wang: logged into LinkedIn, or Tom’s LinkedIn, real quick, because I did see some collection requests
15 00:02:34.520 ⇒ 00:02:39.739 Hannah Wang: requests were accepted, so I, I agree. I think,
16 00:02:40.150 ⇒ 00:02:43.810 Hannah Wang: Let me share my screen. Hold on.
17 00:02:44.220 ⇒ 00:02:48.100 Hannah Wang: I have so many tabs open.
18 00:02:48.700 ⇒ 00:02:49.390 Hannah Wang: flow.
19 00:02:50.300 ⇒ 00:02:56.530 Hannah Wang: Yeah, it’s like too many tabs and too many windows, and I don’t… it’s not detecting everything.
20 00:02:56.700 ⇒ 00:03:00.320 Hannah Wang: That’s weird.
21 00:03:00.650 ⇒ 00:03:05.949 Hannah Wang: Eyes and lush.
22 00:03:06.590 ⇒ 00:03:08.000 Hannah Wang: Oh my gosh.
23 00:03:08.480 ⇒ 00:03:10.909 Hannah Wang: Okay, can you see that?
24 00:03:11.610 ⇒ 00:03:12.270 Ryan Brosas: Yeah, I can see it.
25 00:03:12.270 ⇒ 00:03:18.149 Hannah Wang: Okay, it’s Lou Tom’s… it’s Lutam’s LinkedIn, right? I’m sharing the right window, okay.
26 00:03:22.990 ⇒ 00:03:28.179 Hannah Wang: This is… It’d be… oh, this is Shop Talk,
27 00:03:29.030 ⇒ 00:03:32.049 Hannah Wang: This is also Shop Talk. Yeah, I feel like…
28 00:03:32.270 ⇒ 00:03:43.920 Hannah Wang: LinkedIn, I agree, LinkedIn, we’re getting a lot more engagement with things. Well, I feel like LinkedIn, people just accept connections pretty easily without, like.
29 00:03:44.710 ⇒ 00:03:57.160 Hannah Wang: responding back, but that’s better than email. I feel like email… yeah, our engagement open rate and stuff is not super high, so…
30 00:03:57.550 ⇒ 00:04:03.580 Hannah Wang: I’m just wondering… Yeah, we should probably still keep using both.
31 00:04:03.710 ⇒ 00:04:12.649 Hannah Wang: But okay, I see… I see this. So you’re saying, like, a follow-up email for… follow-up message for these types of messages, right?
32 00:04:12.650 ⇒ 00:04:13.340 Ryan Brosas: Yeah.
33 00:04:14.650 ⇒ 00:04:16.950 Hannah Wang: Okay,
34 00:04:21.910 ⇒ 00:04:23.610 Hannah Wang: Yeah, I agree.
35 00:04:29.780 ⇒ 00:04:43.930 Hannah Wang: Yeah, maybe you can propose that in the update… in your update for go-to-market today, and then maybe try to draft, like, a message, and then I can also give my feedback on that, and then we can see what they say.
36 00:04:44.540 ⇒ 00:04:47.059 Hannah Wang: For follow-up. Yeah.
37 00:04:48.320 ⇒ 00:04:50.210 Ryan Brosas: Yeah, I will do that later.
38 00:04:50.210 ⇒ 00:04:56.469 Hannah Wang: Okay, let me take a look at something real quick.
39 00:05:08.010 ⇒ 00:05:09.000 Hannah Wang: Okay.
40 00:05:09.430 ⇒ 00:05:20.960 Hannah Wang: Cool, yeah, and then let me share my… One of the… One of my other windows.
41 00:05:24.040 ⇒ 00:05:24.840 Hannah Wang: Boom.
42 00:05:26.080 ⇒ 00:05:29.949 Hannah Wang: Whoa, it’s huge. Okay.
43 00:05:31.050 ⇒ 00:05:41.820 Hannah Wang: So thanks for updating this. I also updated all my active ones, and then… I just…
44 00:05:42.340 ⇒ 00:05:46.820 Hannah Wang: I wanted to let you know about a proposed campaign that I think
45 00:05:47.010 ⇒ 00:05:50.099 Hannah Wang: Some… a couple of proposed ones, so…
46 00:05:50.370 ⇒ 00:06:01.119 Hannah Wang: I know you added, like, the SME playbook thing, and then you assigned it to yourself. I assigned it back to myself. I can work with Jake on this, and then you can just help with
47 00:06:01.420 ⇒ 00:06:03.900 Hannah Wang: Like, execution, and…
48 00:06:04.220 ⇒ 00:06:13.830 Hannah Wang: like, hey or Adrian Instant Link campaign stuff. So that… that’s also proposed. And then another thing is when…
49 00:06:13.930 ⇒ 00:06:21.930 Hannah Wang: Robert went to Kyrgyzstan, like, 2 weeks ago. He got connected with
50 00:06:22.100 ⇒ 00:06:29.450 Hannah Wang: two companies, or two business organizations, I guess, so one of them is,
51 00:06:29.920 ⇒ 00:06:35.289 Hannah Wang: High Tech Park, they’re, like, a government organization that helps, like, companies
52 00:06:36.200 ⇒ 00:06:43.369 Hannah Wang: it just, like, enables companies to, like, grow and stuff. And then another one is, like, a business organization.
53 00:06:44.060 ⇒ 00:06:47.550 Hannah Wang: That also kind of does, like, a similar…
54 00:06:47.750 ⇒ 00:07:06.199 Hannah Wang: thing, I think. I’m still doing research on these two, but basically, Robert looped me into emails for these two, and for American Chamber of Commerce, that’s what it stands for, AMCHAM. We’re gonna try to do, like, a workshop exploration.
55 00:07:06.350 ⇒ 00:07:14.969 Hannah Wang: So there’s probably gonna be campaigns for that in the future, and then similarly for High Tech Park, I think we’re gonna start with recruiting.
56 00:07:15.140 ⇒ 00:07:24.819 Hannah Wang: from them, because they’re connected with, like, MIT, and I think, like, Stanford or something. But anyway, we’re gonna try to work on hiring
57 00:07:24.900 ⇒ 00:07:39.530 Hannah Wang: like, some AI and data folks. So there might be a little bit more, like, recruiting within their pipeline of talent, so I just wanted to update you on that. So that’s what…
58 00:07:39.700 ⇒ 00:07:43.350 Hannah Wang: this is, and then I didn’t add the…
59 00:07:44.280 ⇒ 00:07:49.710 Hannah Wang: high-tech park one yet, but I’ll do that later, so…
60 00:07:50.420 ⇒ 00:08:01.930 Hannah Wang: Yeah, we can prioritize which ones to focus on next week during our Monday meeting, but yeah, just wanted to give you, like, a background information on that. And then…
61 00:08:03.610 ⇒ 00:08:05.659 Hannah Wang: Yeah,
62 00:08:06.180 ⇒ 00:08:15.440 Hannah Wang: And then lastly, for GigRadar, I brought it back up here, and then I looked… I logged into GigRadar, and I put in the stats so far.
63 00:08:16.050 ⇒ 00:08:18.100 Hannah Wang: Let’s see, did I close it?
64 00:08:24.080 ⇒ 00:08:30.350 Hannah Wang: Yeah, so it looks like… It’s good, we sent out another one today.
65 00:08:34.450 ⇒ 00:08:39.140 Hannah Wang: Yeah, so I feel like our changes are working,
66 00:08:39.309 ⇒ 00:08:43.270 Hannah Wang: So let’s just keep monitoring this, and then…
67 00:08:44.110 ⇒ 00:08:50.480 Hannah Wang: Yeah, see what else we can… change.
68 00:08:53.930 ⇒ 00:09:12.040 Ryan Brosas: Yeah, for that, I’m still, like, looking for other keywords that we could explore, because it’s only, like, sending one proposal per day, and compared to Robert’s, he is, like, sending 3 or, well.
69 00:09:12.470 ⇒ 00:09:13.450 Ryan Brosas: more.
70 00:09:16.210 ⇒ 00:09:16.920 Ryan Brosas: Hmm.
71 00:09:18.660 ⇒ 00:09:20.420 Hannah Wang: Yeah, 20 proposals.
72 00:09:20.740 ⇒ 00:09:22.289 Hannah Wang: Did I put that in?
73 00:09:22.410 ⇒ 00:09:23.949 Hannah Wang: I did, okay.
74 00:09:25.590 ⇒ 00:09:27.390 Hannah Wang: Yeah, I’m just…
75 00:09:27.610 ⇒ 00:09:36.750 Hannah Wang: Well, because I think it’s just because, you know, data… AI is older, or AI is, like, a newer concept than data, so I just feel like…
76 00:09:37.000 ⇒ 00:09:41.329 Hannah Wang: People are now starting to look for AI work.
77 00:09:41.460 ⇒ 00:09:43.350 Hannah Wang: That needs to be done.
78 00:09:43.490 ⇒ 00:09:51.859 Hannah Wang: So I’m just wondering if it’s a matter of, like, data… there’s just… it’s just been around for a lot longer than AI, so maybe that’s why it’s…
79 00:09:54.330 ⇒ 00:09:57.620 Ryan Brosas: Yeah, that could be… yeah.
80 00:10:00.100 ⇒ 00:10:17.960 Ryan Brosas: Yeah, I see a lot of, like, other keywords, like, prompt engineering, that is not on our tracker, so I added that, and I think there’s, like, other, keywords that we are not, like, aware of, of, what client is, like, putting on their, on their, like.
81 00:10:18.400 ⇒ 00:10:28.079 Ryan Brosas: work requests or something, or what, proposal or something. So, yeah, I’m continuously, like, searching on, on Upwork and, like.
82 00:10:28.080 ⇒ 00:10:28.730 Hannah Wang: Okay.
83 00:10:28.730 ⇒ 00:10:30.520 Ryan Brosas: Adding, like.
84 00:10:30.760 ⇒ 00:10:44.790 Ryan Brosas: like, putting the keywords on, like, you know, mistaking notes, and I will, you know, add more track, well, well, track scanner, so we can add more, yeah, like, percentage of, like, sending more proposals per day.
85 00:10:45.070 ⇒ 00:10:50.590 Hannah Wang: Okay, have you tried asking AI, like, oh, what are some keywords we can put?
86 00:10:51.530 ⇒ 00:11:04.710 Ryan Brosas: No, but I will try to reach out to Casey later today, because, he is really, like, available on Discord or, well, on Facebook.
87 00:11:06.010 ⇒ 00:11:11.070 Hannah Wang: Oh, oh, yeah, well, I meant, like, just asking ChatGPT, like.
88 00:11:11.070 ⇒ 00:11:11.910 Ryan Brosas: Oh, yeah.
89 00:11:11.910 ⇒ 00:11:17.139 Hannah Wang: I’m, like, trying to use GigRadar, trying to find keywords for AI, like, can you give.
90 00:11:17.140 ⇒ 00:11:20.239 Ryan Brosas: Yeah, I tried that.
91 00:11:20.240 ⇒ 00:11:20.740 Hannah Wang: Okay.
92 00:11:20.740 ⇒ 00:11:24.620 Ryan Brosas: I’ve already done that, and it’s not…
93 00:11:24.770 ⇒ 00:11:34.770 Ryan Brosas: it’s still not on the… it’s not still, like, you know, increasing our, like, chances, so I will try to…
94 00:11:35.050 ⇒ 00:11:49.390 Ryan Brosas: do our research, because this is more of, like, a… like, same with SEO keywords, so I think that is kind of, like, tricky, but it’s really simple, so we are just… might, like, you know, missing that.
95 00:11:49.780 ⇒ 00:11:53.160 Ryan Brosas: Yeah, I will try to look on that closely.
96 00:11:54.450 ⇒ 00:12:00.250 Hannah Wang: Maybe you can ask Sam, because he’s kind of leading the AI team,
97 00:12:01.520 ⇒ 00:12:09.400 Hannah Wang: Yeah, so maybe you can ask Sam, like, give him the context of what Gay Gradar is, and then, like, ask him if there’s any keywords we’re missing.
98 00:12:10.640 ⇒ 00:12:14.569 Ryan Brosas: Yeah, I can try to ask him for that, yeah, I can…
99 00:12:14.570 ⇒ 00:12:21.970 Hannah Wang: Yeah, you can maybe just do it in the GoToMarket AI channel, because they’re already in there. So you can just, like.
100 00:12:22.220 ⇒ 00:12:27.400 Hannah Wang: Yeah, and then CC me in that message, so I can look as well.
101 00:12:28.150 ⇒ 00:12:32.809 Ryan Brosas: Yeah, yeah, will do. I will, try to ask that with, Sam.
102 00:12:33.020 ⇒ 00:12:33.790 Hannah Wang: Okay.
103 00:12:33.950 ⇒ 00:12:41.780 Hannah Wang: Cool. I think that… That’s about… everything,
104 00:12:43.320 ⇒ 00:12:50.950 Hannah Wang: Yeah, thanks for joining, and then, yeah, just send your updates in Slack and all the stuff that we’ve been doing already.
105 00:12:51.250 ⇒ 00:12:52.070 Hannah Wang: That’s helpful.
106 00:12:52.070 ⇒ 00:12:55.050 Ryan Brosas: Yeah, we’ll… yeah, will do. Thank you very much.
107 00:12:55.050 ⇒ 00:12:56.580 Hannah Wang: Brian, bye.