Shopper intelligence · Add-on
ShopperPersonas
Customer Segmentation
Who walks in, what worries them, what converts them.
Marketing has personas from research. The floor has customers. ShopperPersonas builds the personas from the customers, clustering real conversations into the fee-sensitive parent, the customer with a rival quote, the family comparing two models, each with what they ask, what worries them and what converts them.
What it does
- Clusters built from consented conversations, refreshed as the floor changes.
- Per persona: top questions, objections, closers, and the products they end up buying.
- Feeds simulator training, marketing segmentation and the advisor's own preparation.
Use cases it powers
- Market & Competitor Intelligence: Hear which rival is winning at your counter, why customers did not buy, and what they asked for that you do not stock.
- Brand at the Counter: For brands selling through multi-brand retail: hear your own promoter counters and run the focus group that was always there.
Where Borentis applies this
- Objection Intelligence: The reason they did not buy, in their own words.
- Brand Voice-of-Customer: The focus group hiding in plain sight.
- Coaching from Best Conversations: Your best advisor, teaching everyone.
Frequently asked questions
Are personas tied to real people?
No. They are aggregates of what was said, with no individual identity attached.
Also in Shopper intelligence
Start with Borentis Floor. Every product in the family runs from the same captured, consented conversation, so a pilot on the floor is the first step to all of it.