Know Which Ad Wins
Before You Run It
SimPanel builds synthetic buyer panels from your customer data and stress-tests your creative against them before you spend on traffic.
No commitment. See your buyer panel in action.
The Reality
The Testing Tax
Every dollar you spend on traffic before you know what works is a tax on your growth.
of ads fail
Most creative never finds signal. You fund the losers to find the winners, which explains why media efficiency keeps declining.
to meaningful data
By the time you know what works, the market has moved. Your winning creative is already stale.
big ideas from A/B tests
A/B testing optimizes what you already have. It doesn't discover new concepts. You're iterating on local maxima.
The Process
How SimPanel Works
Three steps from your creative to a ranked prediction — before any traffic spend.
We Build Your Buyer Panel
We enrich your first-party data through an identity graph to build simulated personas that represent your real buyer segments, not generic archetypes.
We Run Your Creative Against Them
Each persona evaluates your ad, landing page, or email using Semantic Similarity Rating (SSR): a methodology with ~90% correlation to human purchase intent, validated by PyMC Labs.
You Get a Prediction Before You Spend
A ranked validation report tells you which concepts convert, which segments object, and exactly what to fix before a dollar is spent on traffic.
The Autopsy Challenge
A risk-free proof of concept
Send us historical test data — without telling us which version won. We'll build your actual buyer panel, run both variants, and make our prediction.
If we're wrong, you pay nothing.
If we're right, you've just found a better way to test.
Sample Output
What a Validation Report Looks Like
Real output. Real buyer segments. Actionable before launch.
10 simulated personas. Segment-level scores. Objections extracted. Conversion drivers ranked.
The Methodology
Built on Peer-Reviewed Methodology
This isn't vibes-based AI. It's a validated scientific framework applied to creative testing.
Semantic Similarity Rating (SSR)
SSR measures the semantic distance between your creative and the mental models of your buyer segments. Research from PyMC Labs demonstrates ~90% correlation with actual purchase intent , giving you predictive signal instead of opinion.
First-Party Data Enrichment
We don't build generic personas. We enrich your actual customer data through an identity graph to create panels that reflect the real distribution of your buyers — demographics, psychographics, and purchase behavior.