🤖🚀 Why Top 1% Meta Advertiser’s do this... (and how to do it)

Read time: 4 mins…

Welcome back folks 🫡

This week’s Hyper Growth Blueprint covers:

• 🌊 3 thoughts from the middle of the ocean

• 🛳️ How these ships increase LTV by 50%+

• 👾 Why we’re are doing this for two 7-fig businesses…

Let’s go… 👇

I’m writing once again from the middle of the ocean.

My 2 week trip is drawing to an end.

It has been a superb mental & physical reset.

But now I’m itching to get back & get stuck in again.

An observation I’ve had whilst being on this cruise:

• Extreme hustle culture is dumb.

• I don’t think you can be overworked, only under-recovered.

• If you can’t go away for two weeks & relax… what’s the point?

Oh… and Cruise lines are criminally good at increasing LTV.

They do this by offering convenience and reducing friction.

Your credit card is linked to your room key.

So once onboard, buying stuff is frictionless.

(They add 18% automation gratuity as well…!)

Then despite paying for an all-inclusive experience…

…they have premium upsells at every turn.

I reckon they increase the LTV of each customer by nearly 50% as a result.

Anyway… I’ve got a slightly more advanced & technical topic for you today…👇

In the last few months we’ve taken on two big projects with a couple of really cool businesses.

• Both in the e-learning space.

• Both multi-seven-figures in annual revenue.

• Both with very complex funnels.

The first thing we have been prioritising is ‘Calibrating the Pixel’.

A.K.A…

The art of only sending back high-quality events & signals from our campaigns to the Meta Ads platform.

Here’s why…👇

Every user on Meta has a ‘Data Profile’.

This is a complex set of 50,000+ data signals unique to each user.

Think what you watch, click, do, like, and follow.

When someone clicks through a Meta ad and converts…

(I.e. they opt-in, sign up, or purchase)

Meta assigns this signal to that profile.

It then looks at the Data Profile of the user who converted, and starts to look for patterns.

What do these data profiles have in common?

• Where are they? How old are they?

• Do they both like cats? Monster trucks?

• Have they bought anything similar recently?

• What historically have they purchased?

Based on this… the algorithm finds people that ALSO have a similar Data Profile and shows your ads to them.

This is why there is a ‘learning phase’.

Because it’s figuring out WHO the right people are.

With me so far? Great… 👍

Now imagine we are running Meta Ads to generate leads.

We know that not all leads are equal.

We get plenty of time wasters & people who are just not a fit for what we do.

‘Calibrating’ your Pixel is the art of NOT sending back data when someone UNQUALIFIED enters your funnel.

So you only send positive signals of high-quality & QUALIFIED people back to your pixel.

So it learns quicker and delivers you results much better.

How do we actually do this?

• Add in qualifying questions to your lead form

This is critical so we can identify if they are ‘good’ or not.

• Have TWO thank you pages.

One that we send the ‘good’ people too.

One that we send everyone else too.

• Only add your Meta Pixel & Conversion Event on the ‘good’ Thank You Page

That way Meta only knows when ‘good’ people are coming through and it will begin to optimise & show your ad to more of them.

• You can check out my YouTube channel where I break down the strategies that are working well for us right now in more detail.

• Watch this 12-minute video to learn the 9-steps to Building your Own Hyper Profitable Growth Engine.

• Swipe my playbook on “How to use A.I. to INSTANTLY start converting 156% MORE LEADS by sending this ONE simple email.”

P.P.S. Mega-Prompt of the Week will be back in full swing from next week 👌