Industries · Retail

Retail journeys break between the channels.

You can see the online funnel and you can see the store. You cannot see the moment someone gave up between them. We interview real shoppers across the whole journey and turn it into a model of how they actually buy.

What it costs to guess
The expensive decisions are the unresearched ones.

Three places retail teams routinely spend real money on an assumption.

Omnichannel gaps

Analytics per channel, no view across

Each channel reports success while the shopper quietly abandons the handoff.

We interview shoppers across the full journey, not one channel
Assortment

Range decisions made on sales data alone

Sales data shows what sold from what you stocked. It cannot show what they wanted and did not find.

We research unmet demand and substitution with real shoppers
Private label

Price gaps guessed, not tested

How much more will they pay for the brand before they switch to yours or ours?

We run price sensitivity and trade-off studies by category
Across the customer lifecycle
Every stage has a question worth answering.

The same loop, applied to the retail lifecycle. Each answer updates the model, so the next stage starts smarter.

AwarenessAre we a destination?
The question

"Do shoppers start with us, or find us on the way to somewhere else?"

What we run

Brand health and consideration tracking against the retailers they actually compare.

ConsiderationHow do they compare?
The question

"What do they check before they decide where to buy?"

What we run

Shopper research on the comparison set and the criteria used at that moment.

EvaluationWhat breaks in the journey?
The question

"Where does the online-to-store handoff lose people?"

What we run

Journey research with real shoppers who abandoned, across channels.

ConversionWhat grows the basket?
The question

"What makes someone add the second item instead of leaving?"

What we run

Basket and purchase-criteria research, including price pack and promotion trade-offs.

RetentionDo they come back?
The question

"What brings a shopper back, and what makes a lapse permanent?"

What we run

Lapsed-shopper and CX research on why the second trip did not happen.

AdvocacyDo they recommend us?
The question

"Which shoppers recommend us, and for what specifically?"

What we run

Advocacy research that captures what they praise in their own words.

What you end up with
A retail customer model no competitor can buy.

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.

Messaging housev31
Category positioningv18
Buyer personas and committeev24
Competitive framingv22
Brand healthw12
Verbatim library2.4k
It compounds: each study sharpens the personas, which sharpen the competitive work, which sharpens the messaging. Nothing gets thrown away.

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.

Ask it anything, in SlackQuery it as digital twinsBrief new hires with itWire it into your stackEvery claim traceable to a verbatim

Version numbers shown are illustrative.

What it sounds like
Real buyer language, not a summary of it.
"I put it in the cart online and then the store said unavailable. I bought it somewhere else."
Omnichannel shopper · illustrative
"I would have bought two if I had known about the deal before checkout."
Weekly shopper · illustrative

Quotes are illustrative until your first wave completes.

Other markets
FintechCybersecuritySaaSAIConsumerFood and beverage

See your market, in your buyers' words.

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.