300%
More Impressions
Introducing
Predictive
Campaign
Intelligence
Fohr's predictive engine is an entirely new way to build, cast, and execute influencer campaigns.
Our technology calculates exactly how many impressions a specific audience needs to see a message for it to drive recall and action. Then, we turn the math into execution.
We use advanced data modeling and simulations to map every possible outcome and price partnerships based on risk-adjusted return.
All three graphs represent Millennial/Gen Z creators who are athletes, and although their audience sizes differ—from roughly 40K to over 1M—they all initially appear to be strong partners. However, their influencer probability distribution graphs reveal key differences in how reliably they might perform and what a brand should be willing to pay.
None of these creators are inherently "good" or "bad," but their varying levels of consistency introduce different levels of risk that should meaningfully shape pricing and partnership decisions.
Results that speak for themselves.
10X
More Efficient Spend
2.2M
Views
To test the power of data, we split The RealReal's campaign into two identical phases. We used the exact same pool of talent, but changed one variable: how we chose them.
Fohr's predictive technology didn't just surpass the traditional method, it rendered it obsolete. We achieved a 300% improvement in viewership and a staggering 10X improvement in spend efficiency.
This isn't just prediction; it's a new system of mutual accountability.
For Brands
We can predict your campaign's success before you spend a dollar.
We quantify success, cast the ideal creator mix, and optimize your budget for maximum return with minimum risk.
For Creators
Partnerships are democratized. It's no longer about who's the loudest or who has the largest following, it's about who drives real impact.
Creators own their results and get rewarded for bringing winning ideas to life.
Want to see what Fohr can do for your next campaign?
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