You used to shop with us most weeks. What changed?
Lapsed Customer Research
Interviewer agent · 1.1K uses
Your sales data shows what shoppers bought. It cannot show what they almost bought instead. Ask shoppers why they shop somewhere and they say price and convenience. Walk them through one real purchase and a different story comes out: the brand they checked first, the site they almost ordered from, the out-of-stock that nearly sent them elsewhere. This conversation gets that story.
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
The core fields every response captures.
Always anchor on one specific recent purchase
Ask for the names of the stores, brands or sites they compared
Follow-ups that change based on what people say.
If they almost bought elsewhere, ask what nearly tipped them and what brought them back
If they shopped online, ask which other sites were open in their browser
Different paths for different answers.
Send near-miss moments tied to one location to that store or site owner
Escalate competitors that appear across several categories to category leadership
Actions that fire the moment a response comes in.
Post a weekly digest of named competitors and tiebreakers to #merchandising in Slack
Log the shopper's shortlist against their record in HubSpot
Tag the Shopify order with the choice driver for later analysis
The conversation asks the shopper to walk through one specific recent purchase, and gets the category, the channel and roughly when it happened. It asks separately about what they considered first and what tipped the final choice, and asks for the names of the stores, brands or sites they compared. When they mention hesitation or almost leaving, it digs into that moment: what triggered it and what kept the sale.
Invite recent buyers from order confirmations, receipts or your loyalty program
Decide which categories and channels you want covered so results roll up cleanly
Tag responses by store or site so near-misses can be traced to a location
Route recurring near-miss moments to the merchandising or ecommerce owner
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
No context. No follow-up. No next step.
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Right team. Full context. Instant action.
Shopper insights are an understanding of how and why people make purchase decisions: what they consider, where they shop, what tips the final choice, and what nearly sends them elsewhere. Where customer data describes what was bought, shopper insights explain the decision behind it, which is what merchandising, marketing and store teams need to change the next one.
More retail templates for competitor stores, omnichannel shoppers and brand switching.
You used to shop with us most weeks. What changed?
Interviewer agent · 1.1K uses
You use both shops. What decided this trip?
Interviewer agent · 1.6K uses
Did the rewards actually decide where you shopped that day?
Interviewer agent · 1.5K uses
What first made you look at anything else?
Interviewer agent · 968 uses
Where do you shop for this now?
Interviewer agent · 1K uses
Walk me through last week's shops.
Interviewer agent · 1.6K uses
How retailers get the why behind the basket.
Shopper insights are the evidence-backed explanations of why a shopper chose a specific product, brand, store, or channel at the moment of purchase, including…
Read articleA retail customer experience survey is a structured way for a store-based retailer to collect feedback from shoppers about a specific visit (service from store…
Read articleRetail has the richest behavioral data of any industry and the thinnest explanation of it.
Read articleReplace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
No credit card required • Cancel anytime