Flavor, format, pack, price, and whether it looks like it is for them. Most of that is decided before anyone reads your claim. We interview real category buyers about all of it, and keep the model current as taste moves.
Three places food and beverage teams routinely spend real money on an assumption.
Everyone in the room liked it. Nobody in the room is your shopper.
Margin tells you what you need. It does not tell you what they will accept.
The claim you are proudest of is often the one shoppers skip.
The same loop, applied to the food and beverage lifecycle. Each answer updates the model, so the next stage starts smarter.
"Would a shopper recognize us on a crowded shelf?"
Brand health tracking on recognition and category associations.
"Which brands are genuinely in their rotation, and where do we sit?"
Repertoire and consideration research with real category buyers.
"Of these flavors and formats, which earns a trial?"
Monadic concept testing on flavor, format, and pack, ranked with reasons.
"What makes someone pay more than private label for this?"
Price sensitivity and trade-off research at the shelf decision.
"Was the first purchase a trial or the start of a habit?"
Repeat-purchase and CX research with trialists and lapsed buyers.
"Who tells someone else about this product, and what do they say?"
Advocacy research on what earns the recommendation.
Every study above feeds one model. After a few waves it is the most complete view of your market anyone has, and it is yours.
This is the part worth your attention. A study answers one question and expires. A model answers the next question too, and the one after that, and it gets more accurate every time your team uses it.
Version numbers shown are illustrative.
Quotes are illustrative until your first wave completes.
Bring one question your team has been arguing about. We will field it to real buyers in your category and show you the readout, plus the model it updates.