Meeting Title: Mariane Cequina’s Zoom Meeting Date: 2025-05-02 Meeting participants: Mariane Cequina, Luke Daque
WEBVTT
1 00:00:01.240 ⇒ 00:00:02.500 Mariane Cequina: Okay.
2 00:00:03.790 ⇒ 00:00:07.950 Mariane Cequina: Share. Oh, my gosh, I’ll share the link.
3 00:00:13.307 ⇒ 00:00:14.710 Mariane Cequina: Captain bank link
4 00:00:20.540 ⇒ 00:00:28.430 Mariane Cequina: amenable. Hi, Anthony in the call. I think it would be just I think it would be really
5 00:00:30.460 ⇒ 00:00:33.059 Mariane Cequina: entry in the call.
6 00:00:58.050 ⇒ 00:00:59.080 Luke Daque: Hello! Hello!
7 00:00:59.600 ⇒ 00:01:03.859 Mariane Cequina: Hello! Can you hear me? So I think my young question is
8 00:01:04.160 ⇒ 00:01:07.160 Mariane Cequina: to this like the clay? Actually asked
9 00:01:08.141 ⇒ 00:01:19.220 Mariane Cequina: Casey about the like. The diagram if he, if he knows about, like Apollo, something, and they actually agreed on the current, like
10 00:01:19.770 ⇒ 00:01:32.939 Mariane Cequina: the architecture here, like the the one that umber sent like from Linkedin, and then I know you’re pretty good at Zapier. And then the clay table for enrichment, which is Apollo. But then but then robert
11 00:01:33.050 ⇒ 00:01:46.389 Mariane Cequina: said, like he sent a message here in the thread, and he said that we don’t have. We currently don’t have the Apollo. So I was thinking, cause he, you’re the one who actually know how to do enrichment in play right.
12 00:01:48.893 ⇒ 00:01:51.839 Luke Daque: Last time.
13 00:01:52.584 ⇒ 00:01:57.630 Luke Daque: Yeah, you know, I I tried using several enrichment.
14 00:01:57.830 ⇒ 00:02:00.040 Luke Daque: Strategy run and development.
15 00:02:00.884 ⇒ 00:02:11.180 Mariane Cequina: I don’t. It’s it’s more than I don’t know. I think it might be more than like automation, because if.
16 00:02:11.650 ⇒ 00:02:18.029 Luke Daque: Data from Linkedin. It’s just based on the information that I’ve read a while ago.
17 00:02:18.410 ⇒ 00:02:29.170 Mariane Cequina: To verify, for example, your email, whatsoever.
18 00:02:29.170 ⇒ 00:02:30.780 Luke Daque: Yeah, well,
19 00:02:32.930 ⇒ 00:02:40.780 Luke Daque: so basically, what’s what Clay is doing is trying to look for. For example, let me share my screen real quick. But at least you can
20 00:02:41.240 ⇒ 00:02:42.240 Luke Daque: see.
21 00:02:43.590 ⇒ 00:02:45.359 Luke Daque: Can you see my screen? By the way.
22 00:02:45.360 ⇒ 00:02:46.390 Mariane Cequina: Oh, yeah. Yeah.
23 00:02:46.920 ⇒ 00:02:53.959 Luke Daque: Yeah, yeah. So basically, I uploaded young Csv file admin again.
24 00:02:54.160 ⇒ 00:02:57.769 Luke Daque: Robert, which is just the 1st name and work email.
25 00:02:58.390 ⇒ 00:03:00.540 Luke Daque: Right and what we can do.
26 00:03:01.030 ⇒ 00:03:05.090 Luke Daque: So we’re not only profile, I mean linking URL. So
27 00:03:05.400 ⇒ 00:03:12.180 Luke Daque: what I did was like add enrichment. And then let’s say, for example, in which person info.
28 00:03:12.910 ⇒ 00:03:18.437 Luke Daque: A Linkedin profile, for example, do it, though.
29 00:03:19.160 ⇒ 00:03:21.459 Luke Daque: what it does is it looks for
30 00:03:21.720 ⇒ 00:03:27.200 Luke Daque: your work email, because that’s what we used here to enrich.
31 00:03:27.480 ⇒ 00:03:32.425 Luke Daque: We look up the excel based
32 00:03:33.820 ⇒ 00:03:40.839 Luke Daque: mass sources. So live data from contact out.
33 00:03:41.270 ⇒ 00:03:45.090 Luke Daque: And so you know, Shannon, populate details on Linkedin.
34 00:03:45.410 ⇒ 00:03:46.880 Luke Daque: URL, yeah.
35 00:03:48.330 ⇒ 00:03:53.219 Luke Daque: So I did the same thing for for the rest, like Co current company, job, title
36 00:03:53.540 ⇒ 00:03:58.049 Luke Daque: and stuff like that. So I tried testing different
37 00:03:58.360 ⇒ 00:04:01.969 Luke Daque: action sentence and action, you can choose a different.
38 00:04:02.300 ⇒ 00:04:03.780 Mariane Cequina: Okay, so, so.
39 00:04:03.780 ⇒ 00:04:05.790 Luke Daque: No, no! Actually, we Apollo depot, we can.
40 00:04:05.790 ⇒ 00:04:13.720 Mariane Cequina: Oh, are you familiar? I know you’re familiar with Apollo, Perry, have you worked with Apollo? BA.
41 00:04:15.360 ⇒ 00:04:20.850 Luke Daque: No India confirmed in. And I have, yeah, yeah.
42 00:04:22.120 ⇒ 00:04:36.250 Mariane Cequina: Oh, yeah, but but what I’ve read because I bought Apollo. But like right now, like, for example, we have data union parang difference. Apollo.
43 00:04:39.016 ⇒ 00:04:43.709 Mariane Cequina: for example.
44 00:04:43.710 ⇒ 00:04:44.550 Luke Daque: Right.
45 00:04:44.550 ⇒ 00:04:53.999 Mariane Cequina: Enrich the leads. Sa Hubspot. I’m not sure
46 00:04:54.150 ⇒ 00:05:01.070 Mariane Cequina: for automation as well, and also for outreach.
47 00:05:05.120 ⇒ 00:05:11.700 Mariane Cequina: We might not use Apollo. So if you will be using play, so I think you will be the one who will be assigned to that right
48 00:05:12.490 ⇒ 00:05:13.770 Mariane Cequina: per day and arrangement.
49 00:05:14.880 ⇒ 00:05:20.080 Luke Daque: Oh, maybe what I’m trying to do right now is like.
50 00:05:20.961 ⇒ 00:05:30.740 Luke Daque: what we? From what I understand, we’re trying to get the humor. Linkedin comments. Linkedin likes
51 00:05:37.540 ⇒ 00:05:39.379 Luke Daque: But so basically, if
52 00:05:40.807 ⇒ 00:05:47.060 Luke Daque: if my manga comments are, for example, postam, then that could be considered a a potential lead.
53 00:05:47.420 ⇒ 00:05:51.500 Luke Daque: so enrichment
54 00:05:55.480 ⇒ 00:05:58.319 Luke Daque: posts, a Linkedin comments.
55 00:05:58.600 ⇒ 00:06:07.200 Luke Daque: So that’s why I’m like trying to study or like investigate.
56 00:06:07.200 ⇒ 00:06:08.500 Mariane Cequina: Okay, got it?
57 00:06:08.500 ⇒ 00:06:11.699 Luke Daque: It’s like, it’s it’s able to get like.
58 00:06:12.370 ⇒ 00:06:23.950 Luke Daque: yeah, it on public linkedin account. And then, yeah, I’ll I’ll figure this out
59 00:06:24.300 ⇒ 00:06:26.269 Luke Daque: part of my niche or something like that.
60 00:06:26.690 ⇒ 00:06:30.399 Luke Daque: Hindi Kopana. Yeah, I’ll I’ll have Hindi Kopana check Jung.
61 00:06:30.620 ⇒ 00:06:33.870 Luke Daque: Wait what comes after it. Also enrichment, Apollo.
62 00:06:33.990 ⇒ 00:06:38.709 Luke Daque: Maybe I got it. But maybe we can utilize what we already have.
63 00:06:38.710 ⇒ 00:06:39.835 Mariane Cequina: Which is glee.
64 00:06:40.380 ⇒ 00:06:41.209 Luke Daque: This is happening.
65 00:06:41.210 ⇒ 00:06:46.980 Mariane Cequina: So so research integration using Apollo.
66 00:06:48.260 ⇒ 00:06:50.480 Luke Daque: I think so, but on spikes.
67 00:06:51.002 ⇒ 00:06:55.180 Mariane Cequina: Yeah, better personalization or personalization. Yeah, when targeting.
68 00:06:55.540 ⇒ 00:07:02.560 Mariane Cequina: Yeah, this is actually in terms of Apollo parang greeting Apollo for out
69 00:07:02.940 ⇒ 00:07:06.999 Mariane Cequina: and param for an outbound sync sequence.
70 00:07:07.330 ⇒ 00:07:07.900 Luke Daque: Hmm.
71 00:07:07.900 ⇒ 00:07:14.890 Mariane Cequina: Union parang for more on sales compared.
72 00:07:14.890 ⇒ 00:07:16.150 Luke Daque: See, I see.
73 00:07:16.150 ⇒ 00:07:24.879 Mariane Cequina: Since we’re not using Apollo. Just if you will be like, okay to test it out.
74 00:07:25.080 ⇒ 00:07:28.759 Mariane Cequina: The the enrichment. Okay? Better for next week.
75 00:07:29.220 ⇒ 00:07:29.990 Mariane Cequina: Yeah, that’s right.
76 00:07:29.990 ⇒ 00:07:30.400 Mariane Cequina: I mean.
77 00:07:30.400 ⇒ 00:07:35.155 Luke Daque: This is not Apollo, as you can see.
78 00:07:35.750 ⇒ 00:07:36.559 Mariane Cequina: Oh! How are you.
79 00:07:37.190 ⇒ 00:07:44.550 Luke Daque: But it was able to enrich you. My emails, current company job, title, location.
80 00:07:45.720 ⇒ 00:07:46.630 Luke Daque: Yeah.
81 00:07:49.510 ⇒ 00:07:50.139 Mariane Cequina: Yeah, I know.
82 00:07:53.280 ⇒ 00:07:55.420 Luke Daque: And emails.
83 00:07:55.600 ⇒ 00:08:01.030 Mariane Cequina: Score or something.
84 00:08:01.480 ⇒ 00:08:02.010 Mariane Cequina: Have you.
85 00:08:02.010 ⇒ 00:08:02.419 Luke Daque: Yeah. The one.
86 00:08:02.420 ⇒ 00:08:23.390 Mariane Cequina: For example, any target. Natin sa career sa sales is lead agad.
87 00:08:23.730 ⇒ 00:08:28.210 Luke Daque: But we need to be able to determine it operated. Yeah.
88 00:08:28.760 ⇒ 00:08:36.180 Luke Daque: or like, is it? Yeah, like, number of like, if ever you know them, location.
89 00:08:36.429 ⇒ 00:08:37.149 Mariane Cequina: Yeah, yeah.
90 00:08:37.150 ⇒ 00:08:38.390 Luke Daque: Based yeah.
91 00:08:38.820 ⇒ 00:08:39.190 Mariane Cequina: Okay.
92 00:08:39.190 ⇒ 00:08:43.599 Luke Daque: Like us. Now outside us. Then let me check and see direction.
93 00:08:44.260 ⇒ 00:08:52.210 Mariane Cequina: Yeah. And also I have another question about the process. So maybe I can raise it to amber.
94 00:08:52.450 ⇒ 00:09:08.050 Mariane Cequina: So we can. I can make like updates as well. Is it just the post interaction?
95 00:09:08.510 ⇒ 00:09:10.390 Mariane Cequina: Bye, they be back.
96 00:09:10.390 ⇒ 00:09:15.580 Luke Daque: Yeah, that’s a that’s a good question to ask, but that’s what I understood from it’s all.
97 00:09:17.320 ⇒ 00:09:31.281 Luke Daque: Yeah. But yeah, like, I’m trying to focus on like how we can do the section from Linkedin to play. So basically integration from Linkedin to play using
98 00:09:31.780 ⇒ 00:09:41.609 Mariane Cequina: Hey? Rich. Yeah. Something like that.
99 00:09:41.800 ⇒ 00:09:46.709 Luke Daque: Yeah, which is like, I guess the post it on go, and it will project the post. For example.
100 00:09:46.710 ⇒ 00:09:53.970 Mariane Cequina: Yeah, just just an example moving forward. But no like Linkedin post bought from Brain Forge long cannot.
101 00:09:54.210 ⇒ 00:10:04.179 Luke Daque: Yeah, maybe we can. Yeah, we can. We can ask like details now again, on so that we’ll be must clear. That makes sense. Like? Is it from post, or is it
102 00:10:04.940 ⇒ 00:10:06.760 Luke Daque: something else unlimited?
103 00:10:07.190 ⇒ 00:10:09.210 Mariane Cequina: Okay, okay, got it.
104 00:10:09.460 ⇒ 00:10:18.110 Mariane Cequina: Think that’s it. And then let anno it. Enrichment. Now for next week.
105 00:10:21.116 ⇒ 00:10:25.949 Mariane Cequina: Okay, satin.
106 00:10:26.140 ⇒ 00:10:29.410 Luke Daque: Yeah, I think you see any open experience? Nothing. There you go.
107 00:10:29.410 ⇒ 00:10:34.839 Mariane Cequina: Yeah, but I think you can research a month about that, cause you’re well rounded in a month.
108 00:10:35.880 ⇒ 00:10:43.779 Luke Daque: Yeah, we can, we can do that. Yeah, I’m also researching data and stuff like that.
109 00:10:44.090 ⇒ 00:10:46.649 Mariane Cequina: Okay. Thank you. Thank you. Thank you. Luke.
110 00:10:47.300 ⇒ 00:10:48.529 Luke Daque: Sounds, good thanks.
111 00:10:48.530 ⇒ 00:10:49.210 Mariane Cequina: Thanks.