99.8% of brands do influencer marketing wrong. We spent €4M+ finding out why.
Most brands chase engagement, followers and reach. After €4M+ and 200+ influencers tested across 8 markets, we found the four signals that actually predict sales, and an 89% hit rate. If your influencer spend isn't returning at least a 20x ROI, this is why.
I'm Santiago, founder of HappyFlops. I discovered this strategy together with my partners after spending over €4M on influencers. We made the expensive mistakes, found the patterns underneath them, and today we hit an 89% hit rate when we choose who to work with. I'm writing this for one reason: so you don't burn your money on influencers that will never convert.
For most brands, influencer marketing is a casino: pay a lot, hit publish, pray. Usually it doesn't pay out.
The reason? Everyone chases engagement, followers and reach. None of that moves real sales. Trust does.
But how do you measure trust?
Sounds impossible. It isn't. We built four data-driven methods that each score a different trust signal. Combined, they give us an 89% hit rate on picking talent that sells, before we spend a single euro.
And it works at both ends: a 1M+ follower celebrity or a small, unknown creator. Often the small name wins.
Why this works now
AI floods every feed. Real, trusted humans are one of the last things that still cut through, and the brands that get it are quietly compounding.
We own the brands. We're not an agency.
We scaled our own brand, HappyFlops, from €0 to €80M+ with this, across €88M+ of brands we own. We've since signed 7 brands in 7 different niches and done the same for them. We've even booked creators under €3k that did €100k+ in sales. Cheap isn't the problem. Guessing is.
Skip the €4M tuition. Start where we ended up.
The entire system, in one hour: the talent that converts, the deals that can't lose big, and the sequence that scales it.