Shopper Insights Platform

Know why shoppers choose at shelf — 200+ panel interviews in 24 hours

For retail category teams and CPG shopper marketing teams: stop reading POS data backwards to explain shelf losses. Interview the shoppers who switched and decode the real triggers.

Start a Shopper Study See Sample Research
5-7 levels deep on shelf decisions
Reach shoppers who switched or walked
4M+ shopper recruit network
Researcher using User Intuition AI-moderated research platform
Research findings Example
Switchers citing shelf position

From individual interviews to a clearer picture.

Shelf Position
Pack Cues
Price
AI insight

Brand managers assume price is the primary switch trigger. Shoppers point elsewhere — shelf position and packaging cues are where loyalty is won and lost...

Every theme links to its source interviews

Trusted by teams at

Capital One
RudderStack
Nivella Health
Turning Point Brands
Procter & Gamble
Microsoft
CHG Healthcare
TL;DR

An AI shopper insights platform is software that interviews real shoppers about real shelf decisions, decoding the path-to-purchase signals that POS and panel data cannot see. User Intuition is shopper insights software powered by AI-moderated interviews, running 20–30 minute conversations with shoppers and probing 5-7 levels deep into why they reach for someone else's product. Across 2,930 AI-moderated shopper interviews in CPG and retail, User Intuition found price was the stated reason for switching while the actual trigger was usually packaging perception, shelf visibility, or a lower-risk entry point. Stated reasons mask experiential drivers in nearly every category, and the gap only closes when shoppers narrate the moment of decision in their own words. A User Intuition shopper study starts at $150, returns shelf-decision evidence from the panel in 24 hours, and is backed by 4.9/5 on G2 and 5/5 on Capterra. The output is practical: shelf-decision drivers, switching triggers, packaging signals, and channel-preference evidence for category managers, brand teams, and shopper-marketing leaders.

At a glance

What is shopper insights research with User Intuition?

Shopper insights research with User Intuition interviews real shoppers about real shelf decisions in 20–30 minute AI-moderated conversations, laddering 5–7 levels past the rehearsed “price” answer into packaging, category entry points and switching triggers. Field 200+ panel interviews in 24 hours from a 4M+ vetted panel across 58 countries, or bring your own sample.

Who is shopper insights research with User Intuition for?

Research agencies, CPG shopper marketing teams and retail category teams who need to know why shoppers choose at shelf before the planogram window closes.

How does AI-moderated shopper research work?

Bring your guide and shelf, pack or trip stimulus. The AI moderator interviews screened category shoppers in voice, video or chat, and every finding links back to the recording.

What do you get from a shopper insights study?

Switching triggers and path-to-purchase themes with verbatims, segment and channel reads, an editable presentation, and every transcript and recording.

The problem, and how we fix it

Why do shopper insights show what sold, but not why shoppers chose it?

Retailer or CPG, you lose the shelf moment for the same reasons: shopper data is shallow and slow. Here's what shopper insights researchers tell us, and how User Intuition closes each gap.

  1. Sound familiar?

    Numerator shows us who switched to private label. It can't tell us why.

    The why behind shelf behavior

    Interview the shoppers who switched, and the moderator surfaces why your SKU lost the stock-up trip, what triggered the move to private label, and which category entry point a competitor owns.

  2. Sound familiar?

    Our quick-turn survey says “price.” That's the story shoppers rehearse, not the decision they made.

    5–7 levels past the “price” answer

    Adaptive laddering reaches the packaging perception, quality convergence or lower-risk entry point that drove the choice, past the satisficing and social desirability that skew survey data.

  3. Sound familiar?

    Intercepts catch shoppers mid-trip, distracted and in a hurry. We get a rushed answer, not the decision behind it.

    Reflective shopper interviews, not mid-aisle intercepts

    Shoppers talk for 20–30 minutes on their own time about a recent trip, with your shelf or pack images in front of them, so you hear the decision behind the purchase instead of a rushed answer in the aisle.

  4. Sound familiar?

    We need summer shelf intelligence in April. Fieldwork delivers it in June.

    200+ panel shopper interviews in 24 hours

    Findings land while planogram and facings decisions are still open, so seasonal and continuous monthly shopper programs stay in season.

  5. Sound familiar?

    Shoppers researched online, then bought a different brand in store. Our click logs can't explain that.

    Path-to-purchase research, reconstructed

    The conversation rebuilds the whole journey, from category entry point through online research to the shelf moment, with the mission context behind each step. Read What are shopper insights and how to gather them, step by step.

  6. Sound familiar?

    The retail buyer wants proof for the sell-in story, and all we have is a chart.

    Shopper evidence that sells in

    Every finding traces to the shopper's own words and recording, ready for a category review or retailer sell-in.

User Intuition in practice

Turning Point Brands

Read the Case Study →
The question
What was driving ALP nicotine pouch growth, market by market?
The evidence
Consumer interviews run market by market on the drivers behind the brand’s growth.
The outcome
The team identified merchandising as the primary lever, refocused the sales organization on shelf prominence and finished the quarter more than 40% above plan.
How It Works

From shelf question to category-winning intelligence

1
5 min

Design The Study

Define your shelf or category questions — path to purchase, switching triggers, or category entry points — and select shoppers by retailer, trip mission, and purchase behavior. Bring your own guide, or our AI builds the interview guide and screener for your specific category dynamics.

2
24 hrs (panel)

AI Conducts the Conversations

Each shopper completes a 20–30 minute AI-moderated voice interview reconstructing their shelf decisions, purchase triggers, and brand trade-offs. The AI probes deeper on the moments that drove or killed consideration at shelf.

3
Seconds

Get Evidence-Backed Results

Receive shelf-ready intelligence with ranked purchase drivers, path-to-purchase maps, switching trigger analysis, and verbatim shopper language — traceable to quotes your retail buyers and category teams can act on immediately.

4
Ongoing

Create Compounding Intelligence

Every shopper study feeds your searchable intelligence hub. Q2 shelf findings inform Q3 packaging decisions and Q4 category review. Re-mine past interviews when new competitive threats or planogram windows arise — so seasonal knowledge compounds instead of evaporating.

See it in action →
Use Cases

Real-world applications
for Shopper Insights Platform

Path-to-Purchase Mapping

Where does your category enter the shopper's consideration — on the list, in the aisle, or at shelf? Interview 50–100 shoppers across channels and trip types to reconstruct the full path: awareness triggers, online research behavior, in-store decision sequence, and post-purchase rationalization. Retailer category teams use the map to re-sequence planograms and aisle signage; CPG shopper marketing teams use the same map to brief retail accounts with shopper-validated evidence.

Own the decision journey before shelf

Shelf Decision Research

What does a shopper see, feel, and decide in the 8 seconds they spend in front of your shelf set? AI-moderated conversations reconstruct the full shelf decision sequence — what triggered attention, what drove evaluation, what closed or killed the sale. Use findings to brief your retail team before the next planogram review with shopper-validated evidence.

Win the shelf moment that matters

Category Entry Point Identification

Which jobs-to-be-done, occasions, and emotional triggers are driving shoppers into your category — and which entry points is your brand absent from? Interview 30–60 category shoppers to map the full landscape of missions, triggers, and trade-offs shaping first consideration. Then brief your brand and shopper marketing teams on where to compete and where to invest.

Enter the shopper's mind before the aisle

Private Label vs. Brand Switching Research

Why are shoppers trading down — and is it really about price? Interview 20–40 recent switchers from the panel to uncover the exact shelf moment, trigger, and rationalization behind each defection: quality convergence, packaging perception shifts, value redefinition, or sustainability signals. Retailers use the findings to sharpen their private-label positioning; CPG shopper marketing teams use the same evidence to defend national-brand territory at the shelf.

Protect your brand premium where it matters

New Product Launch Validation

Will shoppers understand your new SKU's value proposition at shelf? Which claims drive trial? Which occasion fit is strongest? Interview target shoppers before launch to stress-test positioning, packaging hierarchy, and category entry point fit — while there's still time to adjust. CPG shopper marketing teams run 30–50 interviews two to four weeks before launch to sharpen retail sell-in; retailers run the same studies before private-label launches or exclusive-SKU drops.

Launch with shelf-ready positioning

Continuous Seasonal Shopper Intelligence

Run 15–25 shopper interviews monthly across categories, channels, and trip types in 80+ languages. After two quarters, retailer category teams have a living map of how trip missions shift across seasons; CPG shopper marketing teams have a living map of private-label encroachment and category entry point moves — updated in real time, not once a year.

Build compounding category intelligence
Why User Intuition

Why researchers choose User Intuition

User Intuition is an AI-moderated interview platform that gives research teams and agencies the depth of a senior researcher at the scale of a survey, with vetted respondents, your own methodology and evidence you can trace to the verbatim. Quality is built in: a person vets every panelist by hand, every session is screened for fraud, and you pay only for interviews that pass.

Senior-researcher depth

The moderator ladders 5–7 levels deep by default, using Reynolds and Gutman's laddering method, so you hear the reasons behind the reasons.

5–7 levels by default

Your methodology, run as written

Bring your discussion guide and frameworks. Required questions stay pinned in order, word for word if you need it, study rules keep the moderator inside your compliance lines, screeners and hard quotas fill every cell to plan, and you decide how far it probes.

Your guide, your probing

Every finding traces to its source

Click any theme through to the verbatim, the transcript and the recording. Every claim in the deliverable traces to what a participant said.

Quote → transcript → recording

Respondents you can stand behind

A 4M+ vetted panel across 58 countries: a person listens to every panelist's interviews before they're accepted, then every session is screened for AI-generated or coached answers and panelists are tracked across studies. Or bring your own: customer lists, your panel provider, or respondents straight from your survey.

Vetted by hand, tracked over time

Deliverables ready to present

Themes, verbatims and an editable presentation for every study, plus every transcript, recording and screener answer to export into your own tools. Put your own brand on them when you need to.

Editable deck, report, transcripts

Survey scale, quality-only billing

200+ panel interviews in 24 hours, with no cap on parallel conversations. Each one is scored on length, depth and coverage, and you pay only for those that pass.

200+ panel interviews in 24 hours
  • Isolated workspaces
  • Confidential stimulus
  • Never used to train AI models
  • GDPR & CCPA compliant
  • SOC 2 Type II examination underway
  • Security →
How our methodology works →
Running research for clients? See how agencies use User Intuition →
Compare

Why shopper interviews beat behavioral data, surveys, and intercepts

Dimension User Intuition Numerator / Suzy / Intercepts / Traditional Fieldwork
Research Method 20–30 min AI conversation · emotional laddering Behavioral data (Numerator), 10-min surveys (Suzy), or in-store intercepts
Decision Architecture Full path-to-purchase · entry points, shelf sequence, switching triggers What was bought (Numerator); surface rationale (Suzy/surveys)
Interview Depth 5–7 laddering levels · uncovers shelf psychology Surface rationales — what shoppers rehearse in 10 minutes
Respondent Honesty High · no social desirability pressure or mid-trip distraction Low (surveys satisfice); biased (intercepts mid-trip)
Turnaround 24 hours from panel launch to report 6–12 weeks (traditional fieldwork/intercepts); fast but shallow (Suzy)
Cost per Study From $150 — no monthly fees Per-intercept fees; $15K–$75K traditional projects; annual SaaS contracts
The 'Why' Behind Behavior Full decision psychology — triggers, trade-offs, emotions Absent (Numerator); surface-only (Suzy/surveys)
Seasonal Relevance Results in season — 24 hours on the panel, not 6–12 weeks Post-season delivery kills actionability (traditional fieldwork/intercepts)
Shopper Panel 4M+ vetted panelists, screened to your category, retailer, and trip type Your own recruit (intercepts); behavioral panel only (Numerator)
Knowledge Compounding Searchable Intelligence Hub — every study builds on the last PDF per study or data dashboard — no institutional memory
Retailer Buyer Fit Category teams serve directly — private-label, planogram, assortment use cases built-in Built mainly for CPG brand teams (Suzy); retailers are an afterthought
Private Label Intelligence Switcher interviews decode trade-down psychology — quality, packaging, trust, value redefinition POS share-shift data (Numerator) or surface surveys (Suzy) — the why is absent
Path-to-Purchase as Framework Trip mission → shelf sequence reconstructed through conversation — usable for planogram and sell-in Behavioral logs (Numerator) or diagram-only frameworks — no shopper-validated decision path
Sample Research

Hear the interviews. See the presentation.

Explore calls and a sample presentation from our 43-participant Walmart shopper study.

W10
10 min

Grocery top-up, supercenter

“Basically, because we use those things all a lot We try to always have you know, certain things in the house at all times because we use them very frequently. So we don't like to run out of them.”

Routine top-upOne-stop shopperPrice aware
W30
14 min

Phone replacement, unplanned and urgent

“It made me feel so safe so relieved, and it brightened my day.”

Urgent replacementStaff-assistedNew to the area

Sample presentation

Preview three slides, or download the full 15-slide presentation.

Title slide: How Walmart shoppers decide. 43 shoppers, 7.6 hours of interview, 34 who hit an obstacle, 36 who will return anyway.

1 / 3How Walmart shoppers decide

Download PDF

Bring your own sample

$30 per quality voice interview

Use our 4M+ vetted panel

$60 per quality voice interview

See Sample Study Book a Demo
Customer stories

What researchers say

"Broad U.S. grocery study asked for forty and filled in a few hours. I was skeptical an AI would dig past "I like it." It did. Project pricing also meant I didn't need an annual platform fight just to pilot."
Lilian O., Procurement Lead, Small Business Verified review on SourceForge
"The different formats matter too. Some questions only need text. But for packaging and creative, being able to show the image or the video and then ask the data questions afterward gets us a lot closer to how these calls really get made."
Aldrin M., Operations Lead, Computer Software Verified review on Capterra
FAQ

Common questions

A shopper insights platform is a research tool that helps retailer category managers, private-label teams, and CPG shopper marketing leaders understand why shoppers make the purchase decisions they make — at shelf, online, and across different trip missions. It differs from a consumer insights platform (which serves CPG brand, innovation, and marketing teams studying product attitudes and usage) by focusing on the shopping moment itself: path to purchase, shelf interaction, and switching psychology.

In-store intercepts catch shoppers mid-trip — distracted, time-pressured, and defaulting to rehearsed rationale rather than real decision psychology. They charge per completed interview, take 6–12 weeks to field, and deliver findings that often arrive after the planogram window has closed. User Intuition interviews shoppers for 20–30 minutes after the trip, when they have time to explain it, and ladders 5–7 levels from the shelf choice back to the motivation. Panel studies return 200+ interviews in 24 hours, and every finding links to the shopper's verbatim and recording.

24 hours from study launch to final intelligence report for panel studies of broad shopper audiences. That includes recruitment from our 4M+ vetted panel (screened by category, purchase frequency, retailer, brand switch status, and trip type), 20–30 minute AI-moderated interviews, automated synthesis, and a structured report with verbatim shopper language, decision driver rankings, path-to-purchase findings, and positioning recommendations. Narrow screens, such as recent switchers at a single retailer, field more slowly.

Yes. Our 4M+ vetted panel is screened to your retailer, purchase channel (in-store, online, click-and-collect), trip frequency, and category. A single study can recruit shoppers across Walmart, Target, Kroger, Amazon Fresh, and club channels simultaneously — with findings segmented by channel to surface where your category's path to purchase and shelf decision dynamics differ.

Numerator tells you what shoppers bought, how often, at what price point, and how your brand's share compares to competitors — essential behavioral intelligence. User Intuition tells you why: the path-to-purchase psychology, the category entry point, the shelf decision sequence, and the emotional trigger behind brand switching. They are complementary.

Suzy delivers fast survey-based consumer feedback, with short studies built for quantitative reads. For shopper insights where decision psychology matters, surface depth produces surface strategy. User Intuition conducts 20–30 minute AI-moderated conversations with 5–7 levels of emotional laddering — uncovering the why behind the why: the moment packaging felt less premium, the category entry point that triggered the trip, the shelf interaction that killed consideration.

Path-to-purchase research maps the full shopper journey from the trigger that initiates a category need through awareness, consideration, in-store evaluation, and purchase decision. Traditional methods capture fragments: surveys capture reported intent, intercepts capture one trip moment, analytics capture clicks. AI-moderated interviews capture the whole path in one conversation: the moderator walks each shopper from the trigger through consideration to the shelf decision and ladders 5–7 levels into each step, across hundreds of shoppers in parallel, so the journey map rests on shoppers' own words instead of stitched-together fragments.

A purchase occasion is when a shopper buys (Tuesday stock-up trip). A category entry point is what triggered them to include your category in that trip at all — the job-to-be-done, the emotional trigger, the social context that made the need feel relevant. Brands that only understand occasions know when shoppers buy. Brands that understand entry points know why they enter the category — and can own that trigger in media, packaging, and shelf messaging.

Yes — and private label switcher interviews are among the highest-value studies CPG teams run. Screen our 4M+ vetted panel by category purchase, retailer, and brand switch status to recruit shoppers who recently defected from your brand to a private label or competitor. In 20–30 minute AI-moderated conversations, they describe the exact shelf moment, trigger, and rationalization behind the switch — and what would bring them back.

User Intuition studies start at $150 — $30 per quality interview using your own audience, only billing for interviews that pass automatic Length, Depth, and Coverage checks. With standard recruitment from the 4M+ vetted panel, quality interviews cost $60 each, so a 50-interview panel study is $3,000. No monthly fees, no retainers, no minimum commitment. Traditional qualitative fieldwork runs $15K–$75K and 6–12 weeks per project, billed regardless of session quality.

User Intuition only bills for quality interviews — sessions that pass automatic Length, Depth, and Coverage checks. Misses aren't charged, no refund request required. Kantar reports researchers discard 38% of survey data on average due to quality concerns — traditional fieldwork bills regardless. User Intuition customers don't pay for that waste.

No. Category managers, brand managers, and shopper marketing leads run studies independently using built-in templates for path-to-purchase mapping, shelf decision research, category entry point identification, private label switching analysis, and promotional effectiveness testing. The platform handles recruitment from the 4M+ panel, AI moderation, synthesis, and reporting. Research teams stay in control: they set the guide, the study rules and how far the moderator probes, and they own the interpretation.

Every study you run is stored in a searchable Intelligence Hub — tagged by category, retailer, season, trip mission, and shopper segment. A category manager preparing for a fall planogram review can search previous studies for shelf sequence findings from the last three years. A brand manager launching a new SKU can pull verbatim shopper language from category entry point studies to write retail sell-in materials.

Path-to-purchase mapping, shelf decision decoding, category entry point identification, private label vs. brand switching research, trip mission mapping, new product launch validation, promotional effectiveness testing, omnichannel shopper behavior research, seasonal shopping pattern tracking, packaging hierarchy evaluation, and competitive switching signal analysis. Any research objective where understanding shopper psychology — the why behind the what — is the goal.

Use in-store methods for physical planogram and fixture testing, sensory evaluation where taste, smell or texture drives the choice, shop-along ethnography that observes impulse and non-verbal behavior, eye-tracking and heat-mapping, and live wayfinding research. AI-moderated interviews cover path-to-purchase mapping, category entry points, private label switching, shelf decision sequences and continuous shopper programs, in 80+ languages.
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200+ panel shopper interviews.
24 hours. Category-winning intelligence.

See how retail category teams and CPG shopper marketing teams run 200+ panel shopper interviews in 24 hours — decoding path to purchase, shelf decisions, and private label switching before the next category review.

3 free interviews with your own participants
Start a Shopper Study

Start with an editable research brief. Review your plan and discussion guide before inviting participants.

Retailer / CPG Shopper Marketing / Enterprise
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See how continuous shopper intelligence programs work for retailer category teams and CPG shopper marketing teams. We'll map a program to your planogram cadence, category calendar, and retail sell-in windows.

Your methodology · Your sample · No monthly fee on Starter

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