STUDIES · WHAT THE SIMULATION FOUND
The assumption the brand walked in with was usually wrong.
Real decisions, modelled against calibrated synthetic populations — indexed not by the client's logo, but by what the finding overturned. Filter by category, by the decision at stake, and by whether the brand's going-in belief held up.
EVERY FIGURE ON THESE PAGES IS A MODELLED SYNTHETIC-POPULATION PREDICTION — PRODUCED BEFORE ANY REAL-MARKET TEST. THEY SHOW THE direction and size OF AN EFFECT, NOT A MEASURED CLIENT OUTCOME.
CATEGORY
DECISION
FINDING
11 studies
● FEATURED STUDY · FULL WRITE-UP
The name that built the brand is the name capping it.
A masterbrand's gendered name suppressed women's and cross-category conversion by 45–60 points. The fix wasn't copy. It was architecture.
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The "safest" cohort was quietly leaving.
Autopay customers were treated as the secure base. The habit was decaying long before anyone cancelled.
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The keyword that blocked its own market.
The category-defining term the listing was built on quietly capped the addressable market.
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The biggest creator converted nobody.
Reach didn't move purchase. A specific mid-tier voice was the one that actually closed.
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The channel nobody budgets for.
A Tier 2/3 market-entry route the plan ignored — the personas surfaced it before the spreadsheet did.
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Transparency didn't close the sale. It moved the doubt.
More detail on pack relocated skepticism from "what's in it" to "why are they telling me this" — in a three-second shelf scan.
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They tasted the story before the product.
In plant-based, brand values acted as a quality proxy — what buyers believed changed what they reported tasting.
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The second purchase isn't the first one again.
Ritual anchoring, not the original reason to buy, drove repeat in DTC nutrition.
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Identity outranked function.
In better-for-you beverages, what the product said about the buyer beat what it did for them.
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The barrier wasn't fit. It was identity.
In premium apparel, "will this work for someone like me" outweighed sizing and spec.
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When the face leaves, does the product survive?
How much of a creator brand's pull transfers when the person behind it steps away.
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No studies match those filters.
Your going-in belief is worth testing before you spend on it.
Bring the decision you're most sure about. Those are the ones a simulation most often changes.
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