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What you’ll learn from this webinar
Creating & Testing Unicorn Ads
How to create unicorn ads
You'll learn the 5 core variables of a Unicorn Ad and the systematic process for judging success and failure.
How to test for unicorn ads the right way
Learn about the 3 key sections of an ad that need to work harmoniously together, the highest leverage variable you need to be testing and how to optimize your ad account for creative testing.
Analyzing & Iterating
How to analyze the data you acquire from testing
I'll show you the two types of metrics that you should always optimize against, so you can gain the most insights from your ad account.
How to iterate new ad concepts based on that data
I'll show you 8 easy and different ways to create new winning ads from your original unicorn ad,
Proof this works
$75,000/day profitable spend
I spent $75,000/day on this static image for 4 weeks straight in April 2023. How? I utilized performance creative analysis. A skill 95% of marketers don’t have, or even know exists!
$3M+ profitable spend
I launched this video ad creative in February 2022. As of August 2024, it’s still running. Not to mention other variations we developed that are also spending thousands per day, profitably!
Is this for me?
Regardless of whether you're running conversions, lead generation, or app campaigns, this audit is for you. At the end of our walkthrough, you'll have every tool you need to print money on Meta and TikTok.
I’ve tried a lot of Facebook and TikTok Ads strategies and Tactics, what makes yours better?
Look, I don’t claim to have all the answers. But what I can say without a shadow of doubt is the majority of advertisers have no clue how the Facebook algorithm works. If we align our business objective with that of Meta’s, we’ll receive lower overall costs and higher conversions from Ads as a result. Together, we can diagnose each part of your sales funnel, aligning as much as possible.
Is this for E-Commerce, B2B and Coaching Businesses only?
Nope. Since the principles and strategies we’ll cover apply to the Meta algorithm as a whole, we can cross pollinate learnings based on business objectives. The same theories will apply to lead generation, app installs, and more