Meeting Title: sales GTM friday quick sync Date: 2025-05-02 Meeting participants: Amber Lin, Luke Daque, Mariane Cequina


WEBVTT

1 00:10:09.290 00:10:10.660 Luke Daque: Hello!

2 00:10:12.770 00:10:13.590 Luke Daque: Oh.

3 00:10:14.500 00:10:15.830 Amber Lin: Hi.

4 00:10:16.150 00:10:17.060 Luke Daque: Hi Amber.

5 00:10:17.300 00:10:19.050 Luke Daque: I thought I was the only one

6 00:10:21.060 00:10:23.999 Amber Lin: Late. It looks like everybody is late.

7 00:10:24.420 00:10:25.620 Amber Lin: It’s okay.

8 00:10:26.000 00:10:30.889 Amber Lin: This is not the regular meeting time. So it’s fine.

9 00:10:32.520 00:10:36.549 Luke Daque: Yeah, I just came off from a meeting with a wish as well.

10 00:10:37.960 00:10:38.720 Amber Lin: Hmm.

11 00:10:40.860 00:10:42.270 Luke Daque: So how’s everything?

12 00:10:44.196 00:10:46.170 Amber Lin: Super, sleepy.

13 00:10:48.920 00:10:53.490 Luke Daque: Yeah, I bet it’s it’s too early for you. At the moment.

14 00:10:56.170 00:10:57.030 Amber Lin: What?

15 00:10:58.085 00:11:04.360 Amber Lin: I’ll keep this meeting forward. Do you know?

16 00:11:05.580 00:11:17.190 Amber Lin: If let’s see yeah, have you seen the updates I sent and in the channel.

17 00:11:19.130 00:11:22.880 Luke Daque: Yeah, I I ran through it, but I haven’t really.

18 00:11:22.880 00:11:26.369 Amber Lin: Oh, does it make a little bit more sense.

19 00:11:27.960 00:11:29.320 Luke Daque: Yeah, let me check.

20 00:11:30.030 00:11:33.319 Luke Daque: Are you referring to the architecture diagram and.

21 00:11:33.320 00:11:37.910 Amber Lin: Yeah, the architecture. We can solve different things.

22 00:11:42.060 00:11:49.700 Luke Daque: Okay, wait section to link into play. You scroll open.

23 00:11:53.820 00:11:56.690 Luke Daque: Yeah, I can like for the

24 00:11:57.300 00:12:05.689 Luke Daque: I guess my part on this would be like the the spike to integrate Linkedin to play

25 00:12:06.350 00:12:10.239 Luke Daque: right using the grow la project as an example.

26 00:12:10.990 00:12:15.109 Luke Daque: Oh, or maybe any of them. They’ve been post so.

27 00:12:19.200 00:12:24.050 Luke Daque: And we can probably use Zapier as you mentioned here.

28 00:12:30.080 00:12:33.999 Luke Daque: or custom lambda function or anything. Yeah, I think.

29 00:12:34.100 00:12:37.309 Luke Daque: yeah, I think I can work on. This is this something?

30 00:12:40.960 00:12:46.999 Luke Daque: When do we need this? By like at least this part integrating Linkedin to play.

31 00:12:47.930 00:12:50.089 Amber Lin: I feel like this might take a bit

32 00:12:50.740 00:12:53.909 Amber Lin: longer. How long do you think this will take.

33 00:12:56.531 00:13:02.629 Luke Daque: That’s a good question. I haven’t tried it. So I’ll have to do some research. But

34 00:13:03.530 00:13:07.049 Luke Daque: yeah, I guess if I I’ll just like work on this. I should. It shouldn’t

35 00:13:07.170 00:13:11.640 Luke Daque: take too long, but I’ll probably need access to.

36 00:13:13.385 00:13:17.209 Luke Daque: or Robert’s Linkedin account. I guess Utam’s linkedin account.

37 00:13:17.609 00:13:22.000 Amber Lin: Added it to one pass. If you scroll up in the.

38 00:13:22.750 00:13:23.410 Luke Daque: See let me.

39 00:13:23.410 00:13:32.200 Amber Lin: Checklist. Sweet oh, and any cool parts, they say, to pause. It.

40 00:13:32.800 00:13:33.790 Luke Daque: Yeah.

41 00:13:33.790 00:13:35.380 Amber Lin: No! So.

42 00:13:35.380 00:13:36.640 Luke Daque: Did, already.

43 00:13:36.640 00:13:37.179 Amber Lin: Oh, we’re pulling.

44 00:13:37.180 00:13:42.549 Luke Daque: Parts. I did create the Pr to change the ship station

45 00:13:42.740 00:13:52.260 Luke Daque: shipping cost. And I was also already working on the shopify. Bt, enrichment, basically of that

46 00:13:53.700 00:14:01.250 Luke Daque: stuff. And I also for this, the split order issue there. I did have a

47 00:14:01.610 00:14:04.259 Luke Daque: another. I sent another email to this report

48 00:14:04.540 00:14:11.859 Luke Daque: team for ship station so that they can investigate further. I provided more details on like, because I did notice that

49 00:14:13.570 00:14:20.860 Luke Daque: the issue only started on April and any order before April there was. It was still working fine, so

50 00:14:21.870 00:14:26.439 Luke Daque: like the 1st response that they had was

51 00:14:26.970 00:14:31.230 Luke Daque: correct cause like it was working fine before. So.

52 00:14:32.330 00:14:33.110 Amber Lin: See.

53 00:14:33.850 00:14:37.709 Luke Daque: Yeah. But yeah, I did read about them

54 00:14:37.890 00:14:43.000 Luke Daque: like us pausing any old parts to go work at the moment. So yeah.

55 00:14:43.300 00:14:57.760 Amber Lin: I think that’s just a quick little pause. Just to recoup. Robert will be joining a bit later, I added, like a retro meeting. He wanted to do a retro for us, so we’ll update him on what we did

56 00:14:58.100 00:15:00.010 Amber Lin: in that meeting.

57 00:15:00.220 00:15:02.649 Amber Lin: So I think other than that.

58 00:15:03.571 00:15:06.100 Amber Lin: I assume other than that. This is

59 00:15:06.290 00:15:13.120 Amber Lin: like, I know we had Adam War. But I think mostly just gonna be this project for today.

60 00:15:13.530 00:15:14.516 Luke Daque: Hmm, okay.

61 00:15:15.260 00:15:16.780 Amber Lin: Yeah, do you think?

62 00:15:18.810 00:15:21.310 Amber Lin: Because there’s a few steps right? There’s

63 00:15:21.570 00:15:27.129 Amber Lin: from figuring out if Hey reach can get the

64 00:15:27.280 00:15:34.149 Amber Lin: those interaction data. And then how do we send that thumbs up here to Clay?

65 00:15:34.530 00:15:43.329 Amber Lin: And then the clay part? Marianne is figuring out how to use a pull up, and I guess

66 00:15:43.330 00:15:46.709 Amber Lin: the other part we want to figure out is the

67 00:15:46.980 00:15:50.790 Amber Lin: web hook in custom Api to.

68 00:15:53.710 00:15:54.870 Amber Lin: So there’s like.

69 00:15:54.870 00:15:55.210 Luke Daque: Yeah.

70 00:15:56.800 00:16:03.660 Amber Lin: Can open up, hey, reach and

71 00:16:05.762 00:16:13.380 Amber Lin: I think they reach should be in one pass. If not, so, you can ask Robert.

72 00:16:17.540 00:16:23.070 Luke Daque: Wait. I think I need to add that link in. I can find it if I search.

73 00:16:23.800 00:16:25.479 Luke Daque: so I guess I need to.

74 00:16:32.330 00:16:36.240 Luke Daque: It’s in gtm sales right sales. Gtm.

75 00:16:36.540 00:16:37.030 Amber Lin: Yeah.

76 00:16:39.920 00:16:40.620 Luke Daque: In.

77 00:16:42.220 00:16:43.550 Luke Daque: Let me share it.

78 00:17:00.220 00:17:06.510 Luke Daque: Where did Tom send the one pass?

79 00:17:09.200 00:17:10.999 Luke Daque: I don’t see it in there.

80 00:17:13.760 00:17:19.749 Luke Daque: I see the Hubspot one pass, but I don’t see the Linkedin one.

81 00:17:20.240 00:17:24.200 Amber Lin: Let’s see and.

82 00:17:34.300 00:17:35.266 Luke Daque: Let’s see.

83 00:17:44.960 00:17:46.069 Luke Daque: let me see.

84 00:17:48.430 00:17:56.022 Luke Daque: Yeah, it looks like it’s saved. Now, Hubspot, we’re linked in.

85 00:17:57.350 00:17:58.190 Luke Daque: Hmm!

86 00:18:02.710 00:18:04.409 Luke Daque: We can build there

87 00:18:21.320 00:18:27.020 Luke Daque: clear screen. Let’s see who expand to do.

88 00:18:35.730 00:18:38.719 Luke Daque: Yeah, I don’t see the dating one.

89 00:18:39.590 00:18:40.210 Amber Lin: Hmm!

90 00:18:41.180 00:18:48.840 Amber Lin: Checking how to go from Linkedin to play you might only need access to pay reach.

91 00:18:49.530 00:18:50.970 Amber Lin: So.

92 00:18:51.850 00:18:53.929 Luke Daque: Is that in our.

93 00:18:54.700 00:18:55.460 Amber Lin: That’s how we.

94 00:18:55.460 00:18:55.840 Luke Daque: Yeah, sir.

95 00:18:55.840 00:18:59.930 Amber Lin: It automate sending messages with Linkedin right now

96 00:19:00.960 00:19:06.000 Amber Lin: just a little bit in the thanks.

97 00:19:06.760 00:19:07.340 Amber Lin: Hmm.

98 00:19:11.230 00:19:12.290 Luke Daque: Okay.

99 00:19:12.290 00:19:17.260 Amber Lin: Yeah, let me just send what chat I’m asking chat to video to it.

100 00:19:17.620 00:19:18.670 Amber Lin: Phone.

101 00:19:19.130 00:19:29.530 Amber Lin: I will send you see, the Gpt that Ryan sent.

102 00:19:30.640 00:19:34.660 Amber Lin: And yeah.

103 00:19:37.130 00:19:38.989 Luke Daque: Yeah. Let me check that out.

104 00:19:39.250 00:19:42.840 Amber Lin: Yeah, I’ll made a thread. I’ll type in.

105 00:19:55.380 00:19:57.490 Luke Daque: Oh, Marian’s here! Hi! Marianne!

106 00:19:59.470 00:20:06.449 Amber Lin: Hi, Hi, hello! I think Ryan is actually out of office today, just in case you guys didn’t know.

107 00:20:06.490 00:20:07.810 Amber Lin: But that’s okay.

108 00:20:08.240 00:20:10.751 Mariane Cequina: Okay, it’s actually his birthday tomorrow.

109 00:20:11.470 00:20:14.240 Luke Daque: Oh, wow! Happy birthday! Ryan.

110 00:20:15.538 00:20:19.369 Amber Lin: We should do that in the Channel, too.

111 00:20:22.580 00:20:28.769 Amber Lin: yeah, we’re looking at. Did you get a chance to see the workflows that I sent in the Channel.

112 00:20:32.390 00:20:34.000 Mariane Cequina: Yeah, actually.

113 00:20:42.620 00:20:43.040 Luke Daque: Oh.

114 00:21:03.390 00:21:07.149 Luke Daque: Marian, do you have access to accounts, Linkedin, or something.

115 00:21:08.520 00:21:12.679 Mariane Cequina: No, I never! I’ve never managed his Linkedin.

116 00:21:14.120 00:21:17.170 Luke Daque: Yeah, I think it was. Ryan Ryan does have access.

117 00:21:17.170 00:21:18.000 Mariane Cequina: Yeah, yeah.

118 00:21:18.000 00:21:20.010 Luke Daque: And sending stunned.

119 00:21:21.340 00:21:28.689 Mariane Cequina: But I’ll take a look on the operation, I mean in the password, if it’s in here.

120 00:21:28.690 00:21:34.109 Luke Daque: Yeah, I don’t see it in my one password, so I don’t think I don’t know. Maybe you have.

121 00:21:36.110 00:21:40.439 Amber Lin: Yeah, it’s okay. I think what we need is.

122 00:21:40.980 00:21:44.769 Amber Lin: no, I don’t think we directly need their password.

123 00:21:46.690 00:21:47.350 Luke Daque: I mean.

124 00:21:49.310 00:21:54.640 Amber Lin: Because we use other tools that’s connected either to Link I I either.

125 00:21:55.050 00:21:56.350 Luke Daque: Yeah, like, hey, we.

126 00:21:56.350 00:22:07.260 Amber Lin: 8 and then there’s another tool that’s called Triggerfi. That also helps us get the information.

127 00:22:08.730 00:22:09.440 Amber Lin: Oh.

128 00:22:10.610 00:22:11.550 Luke Daque: Image.

129 00:22:13.180 00:22:17.390 Luke Daque: Maybe, even if we, if I can get access to hey reach that should be.

130 00:22:17.390 00:22:21.519 Amber Lin: Yeah, that should be on, you know something.

131 00:22:21.850 00:22:22.550 Amber Lin: Yes.

132 00:22:33.670 00:22:35.840 Amber Lin: yeah, Marianne, I think.

133 00:22:36.860 00:22:38.470 Amber Lin: Okay.

134 00:22:39.580 00:22:43.720 Amber Lin: Have you had a chance to look at how to enbridge using Apollo.

135 00:22:44.677 00:22:52.679 Mariane Cequina: No, I’m still yet to do it right now, but I don’t think Ryan will be here, but that will be fine.

136 00:22:53.570 00:22:57.090 Mariane Cequina: because I was holiday yesterday. So yeah.

137 00:22:59.580 00:23:02.370 Amber Lin: I see. Will we be able to do that again?

138 00:23:03.930 00:23:04.770 Mariane Cequina: Yeah, yeah.

139 00:23:05.190 00:23:12.170 Amber Lin: Okay it shouldn’t take too long. It’s just a I think it’s just an integration. And.

140 00:23:12.170 00:23:12.790 Mariane Cequina: Okay.

141 00:23:13.425 00:23:21.510 Amber Lin: I think we can. You can also use other than Apollo. You can ask the Gpt that Ryan sent

142 00:23:22.522 00:23:28.939 Amber Lin: Will. Then how to do it. He’ll give you a very specific guide on how to

143 00:23:29.938 00:23:33.529 Amber Lin: I’m gonna add you in that message as well.

144 00:23:34.903 00:23:43.650 Amber Lin: Both any questions you can ask, and the

145 00:23:47.720 00:23:49.340 Amber Lin: with the Gpt.

146 00:23:50.830 00:23:51.400 Luke Daque: Cool.

147 00:23:55.015 00:23:58.579 Amber Lin: Look, I think, for Heybridge. We’re using Uton’s account.

148 00:23:59.090 00:23:59.760 Amber Lin: So.

149 00:23:59.760 00:24:00.260 Luke Daque: Oh! So!

150 00:24:00.260 00:24:01.190 Amber Lin: Pass.

151 00:24:01.380 00:24:05.659 Amber Lin: You should see that it’s Otam’s account, and

152 00:24:05.920 00:24:07.959 Amber Lin: I log in like that, too.

153 00:24:09.130 00:24:11.140 Luke Daque: What do I search in one pass.

154 00:24:11.620 00:24:13.470 Amber Lin: Hey! Reach!

155 00:24:13.770 00:24:14.700 Amber Lin: Fine.

156 00:24:15.040 00:24:18.939 Luke Daque: Doesn’t look like I I have that is it in the

157 00:24:19.600 00:24:23.970 Amber Lin: Maybe the browser version won’t give you everything. Do you have a local one? Pass.

158 00:24:26.350 00:24:28.780 Luke Daque: Hmm! Wait! Let me try opening that.

159 00:24:30.390 00:24:32.410 Amber Lin: Let me check that, too.

160 00:24:46.470 00:24:52.600 Amber Lin: I’ll share that to you here.

161 00:24:54.010 00:24:57.588 Amber Lin: Oh, comply to you in the thread.

162 00:24:59.497 00:25:07.160 Amber Lin: Marianne, I guess before the end of today. I’ll check in with you about about the polo.

163 00:25:08.280 00:25:09.620 Mariane Cequina: Yeah, sure. Sure.

164 00:25:09.620 00:25:11.540 Amber Lin: Be enriching that table.

165 00:25:12.110 00:25:12.560 Amber Lin: Yeah.

166 00:25:12.560 00:25:13.200 Mariane Cequina: Okay.

167 00:25:15.510 00:25:31.509 Mariane Cequina: I had a conversation as well. Witham a while ago, just right before this call, and he did mention that maybe we could also, you know, like it’s totally fine if we could also ask Casey. So I think that will be.

168 00:25:31.760 00:25:32.700 Amber Lin: Yeah. Totally.

169 00:25:32.900 00:25:39.879 Mariane Cequina: Okay, I can. I can actually chat with him. So we can get insight in the beginning of the structure. Yeah.

170 00:25:39.880 00:25:45.359 Amber Lin: Yeah, I mean for a poll, Casey haven’t done that before that. That’s more of a

171 00:25:46.224 00:25:50.340 Amber Lin: that’s a different thing than our usual workflows.

172 00:25:50.340 00:25:51.090 Mariane Cequina: Hmm, okay.

173 00:25:51.090 00:25:51.650 Amber Lin: Have you had it?

174 00:25:51.650 00:25:52.200 Amber Lin: Think, I think?

175 00:25:52.200 00:25:55.450 Amber Lin: Look at the diagram that I sent in the chat.

176 00:25:57.400 00:25:58.419 Mariane Cequina: Okay? Well done.

177 00:26:03.760 00:26:09.830 Mariane Cequina: It’s the yeah. Yeah, like this one shouldn’t know.

178 00:26:21.120 00:26:23.620 Mariane Cequina: like the post interaction data. Is that correct? Right?

179 00:26:29.690 00:26:30.375 Amber Lin: Yeah.

180 00:26:31.060 00:26:31.650 Mariane Cequina: Okay.

181 00:26:31.650 00:26:33.769 Amber Lin: The one that Utm commented on.

182 00:26:34.640 00:26:35.770 Amber Lin: So

183 00:26:36.660 00:26:52.159 Amber Lin: essentially essentially, your part would just be the today would just be in clay. You know the little arrow that says enrich from new sample and other tools. So would love to for you to figure that part out.

184 00:26:53.054 00:27:02.040 Amber Lin: Lucas figuring out the part from from Linkedin to Clay, so.

185 00:27:02.820 00:27:05.729 Mariane Cequina: So I’m just gonna research for that information. For now, right.

186 00:27:06.100 00:27:12.069 Amber Lin: Yeah, and added you in a message that Ryan sent where it should be teased.

187 00:27:12.773 00:27:15.739 Amber Lin: Ask it for questions. It’s very helpful.

188 00:27:16.250 00:27:17.010 Mariane Cequina: Okay.

189 00:27:17.310 00:27:17.735 Amber Lin: Yeah.

190 00:27:26.680 00:27:29.819 Amber Lin: Is she able to log into her reach?

191 00:27:34.450 00:27:35.970 Luke Daque: I was able to log in.

192 00:27:36.760 00:27:37.710 Amber Lin: Oh, okay.

193 00:27:38.100 00:27:40.190 Amber Lin: Oh, let me just kind of.

194 00:27:40.520 00:27:44.560 Luke Daque: So they have integration. There’s connect to clay. So I guess this should be.

195 00:27:46.745 00:27:55.670 Amber Lin: That part is where Clay sends, hey? Reach a list of leads to use for his campaigns.

196 00:27:56.430 00:28:02.349 Amber Lin: I think the purpose that we wanted to use. Hayridge in our case is to

197 00:28:02.940 00:28:12.500 Amber Lin: say, we have a post URL, and we send it to post, and then, hey, reach can carriage or triggerfire

198 00:28:13.262 00:28:21.459 Amber Lin: can figure out how to get information that that get the interaction data with a certain post.

199 00:28:22.430 00:28:24.879 Luke Daque: So it’s the other way around. It looks like right.

200 00:28:24.880 00:28:32.053 Amber Lin: Yeah. And the other way around is harder, cause it’s because that’s

201 00:28:32.960 00:28:37.649 Amber Lin: sending from clay to here you reach. They already have a integration for.

202 00:28:40.020 00:28:41.100 Luke Daque: Yeah, okay.

203 00:28:41.100 00:28:41.465 Amber Lin: Hmm.

204 00:28:42.370 00:28:46.640 Luke Daque: So I guess we need to use the Api or something.

205 00:28:53.490 00:28:55.850 Luke Daque: or the web hook. It looks like.

206 00:29:01.150 00:29:09.719 Luke Daque: And what kind of event do we want to add to play? Is it like if somebody comments in the post, or something, or like.

207 00:29:11.770 00:29:12.395 Amber Lin: Yeah.

208 00:29:13.020 00:29:14.960 Luke Daque: Any specifics to that.

209 00:29:15.720 00:29:23.779 Amber Lin: Essentially here. Can you look at the thread that I added you the thread of Linkedin to clay

210 00:29:24.150 00:29:27.549 Amber Lin: I sent in the Channel. If you click on that.

211 00:29:27.850 00:29:33.410 Amber Lin: Oh, and it shows you essentially we want to have.

212 00:29:34.190 00:29:40.200 Amber Lin: We want descriptive engagers of a certain post, and

213 00:29:40.390 00:29:49.540 Amber Lin: we essentially copy and paste the instant Linkedin post or event, URL, and then we run the Hey reach engagement scraper

214 00:29:50.249 00:30:00.480 Amber Lin: and then it should output a Csv. But I just want us to figure out how the link the he reach event scraper works

215 00:30:01.380 00:30:03.480 Amber Lin: if we need other things.

216 00:30:03.880 00:30:07.830 Amber Lin: So in another thread I sent you the

217 00:30:08.230 00:30:13.930 Amber Lin: connect, have reach and trigger fire. That’s 1 way, and.

218 00:30:16.130 00:30:16.850 Luke Daque: Okay.

219 00:30:17.000 00:30:18.930 Amber Lin: Yeah, we’ll figure that out, too.

220 00:30:18.930 00:30:20.959 Luke Daque: I’ll check that out.

221 00:30:23.950 00:30:24.820 Amber Lin: Yeah.

222 00:30:38.600 00:30:39.500 Luke Daque: Okay.

223 00:30:41.310 00:30:41.920 Amber Lin: Well.

224 00:30:44.450 00:30:48.069 Amber Lin: And so we can look at that.

225 00:30:50.070 00:30:53.559 Amber Lin: I’ll check in with you guys on the progress at the end of today.

226 00:30:54.875 00:31:02.570 Amber Lin: Probably, and like 6, 5, or 6 h or so.

227 00:31:02.780 00:31:05.949 Amber Lin: I think at that point we can figure that out a bit more.

228 00:31:07.120 00:31:08.199 Luke Daque: Yeah, sure.

229 00:31:10.310 00:31:20.050 Amber Lin: awesome. And Marianne, if you can do the enrichment polo and then discover as an additional step, we can see how we can

230 00:31:21.760 00:31:36.879 Amber Lin: enrich with what kind of tech stack they’re also using, like what type of tools say, example, like snowflake, or what other tools that they’re using. That’ll be great as well. But for anything you need, just ask Gpt.

231 00:31:38.040 00:31:41.169 Mariane Cequina: I got it, and I’ll sort of research about that, though.

232 00:31:41.170 00:31:43.380 Amber Lin: Yay. Okay. Awesome.

233 00:31:45.685 00:31:47.050 Amber Lin: Cool.

234 00:31:49.730 00:31:52.720 Amber Lin: Thank you all. I’m gonna hop to another meeting.

235 00:31:53.840 00:31:56.199 Mariane Cequina: Thank you, Amber and Luke, thank you. Thank you.

236 00:31:56.540 00:31:58.440 Amber Lin: Alrighty! Bye-bye.