A quant factor backtester pointed at ad creative. Run a thumbstop model over past posts and grade how well it ranks them by attention — before you spend. The same toolkit equity quants use: information coefficient, decile spread, walk-forward.
The table the model trains and tests on: creative and context as point-in-time features, views and clicks as the forward label. pred is the model's rank score.
What a contributor sees: the formats and post windows pulling above average right now, scoped to their niche.
The model kills the bottom 30% before spend. Enter your numbers, see the test budget you stop burning. Reallocation upside sits on top.
We run a free audit; you opt in to share de-identified outcomes; the niche pool grows; every contributor's predictions get sharper. The audit is the front door, the pool is the moat.
You give de-identified outcomes. You get predictions trained on the full pool, not your thin slice. The contributor advantage compounds as the pool grows.
Per-brand rows never leave your tenant. Only aggregate, thresholded signal feeds the shared model. No creative, caption, or brand identity is exposed.