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How We Booked 2,932 Meetings in 12 Months

Max Mitcham · 620 words · 3 min read

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0:00What is going on, guys? Yesterday, I did

0:02a post about how I have booked 2,932

0:06meetings in the last 12 months across a

0:08team of three. That's 81 meetings a

0:11month per individual. Now, today, I want

0:14to go ahead and boost that post to get

0:16it to reach more key ICP. And I'm going

0:19to go over how I'm doing it using

0:21triggery to create the most hyperargeted

0:24ad audience which will outperform any

0:27kind of ad campaign that your demand gen

0:30team is currently running. So let's have

0:32a look at it. So the first thing that

0:34I'm doing is I've identified key

0:36companies and key individuals that are

0:38most likely resonating with my ICP. So

0:41for example, we have Clay in here as a

0:43company. Um because any kind of fit

0:46between Clay and Triggery is great.

0:48there's a great kind of connection and

0:49integration that we have there between

0:50the two tools. Next, what I've done is

0:53I've identified key kind of influences

0:56or thought leaders in the space. So,

0:57we've got, you know, Henry Shark, we've

0:59got Alice, Jason, Adam Robinson, Sam

1:02Jacobs, Chris Walker, and so on. All of

1:04these individuals have obviously a great

1:08kind of like thought leadership and

1:09impact in the in their space, but they

1:11also resonate with my my kind of ICP,

1:13which is growth marketing roles. RevOps

1:18as well. And what I'm doing is I'm

1:20monitoring every single social

1:23engagement that these individuals ever

1:25do. Every move that they make, every

1:26person that interacts with them,

1:28everything that they do. What I then do

1:31is I'll pull all of that engagement in

1:33and then I'll start to use AI to tag the

1:35individuals that are engaging with them

1:37and make sure that they're the relevant

1:38ICP for my adset. So we come into the

1:42platform, for example, we have Henry

1:45Shark here, right? So, we've got 4,300

1:47people that have engaged with uh him so

1:49far. What I've then done is I've created

1:51what's called like a smart tag, and I'm

1:53tagging individuals that are relevant

1:55for my ad audience. So, now we've

1:57dropped it to 42 people. So, all I've

1:59got to now go do is got to go ahead and

2:02export that data and upload that into my

2:06um ad audience. Likewise, and can go

2:08ahead and do the same thing. I can go

2:10ahead to Chris and then we can start to

2:12filter down and then we can look at

2:14again add audience as well. And I can do

2:17this across kind of any profile, any

2:19company, but I want to make sure that

2:20it's relevant um for me. And those are

2:22the key individuals that I've basically

2:24selected there. So the last one, let's

2:27pick on um another kind of random

2:29individual here. Let's go for Jason. Um,

2:34so same thing if we go click on him, we

2:38then can start to see the engagement

2:39that we're pulling, 27,000 people, then

2:43we start to run it down and have a look

2:44at only want to reach out to the people

2:46that are going to be relevant for my ad

2:48audience. So now it's going to kind of

2:50crunch through that and make sure that

2:52they're ICP and we've got um close to a

2:53thousand people that we'll then use.

2:56So, what I'm going to go do is go ahead

2:58export these individuals into one large

3:02CSV, upload that into my ad audience,

3:04and then basically run ads to those

3:07specific individuals that are engaging

3:10with these brands where I know my post

3:14that I did yesterday will resonate

3:15incredibly well with them. And that is

3:18how you can create a hyperargeted ad

3:20audience.

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