Tula is the newest layer of the platform. It reads a dynamic ad, predicts how it is likely to perform for a chosen objective before launch, then validates that prediction against what actually happened when real campaigns ran.
A score is common. Closing the loop is not. The field splits into tools that predict from the creative and tools that measure attention once an ad is live. Tula does both, because HockeyCurve sits at the planning table and on the ad server.
A clear, objective-conditional read on a unit before a single impression is bought, so weak creative is caught early.
Predictions are grounded in a decade of campaigns that actually ran, not generic benchmarks or averages.
Each campaign that ships feeds the next read, so the platform gets more accurate the more it is used.
Score your creative before the next spend, and see the loop on your own campaigns.
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