Retail price intelligence
Observe displayed prices across selected locations and time windows.
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Design targeted micro-task campaigns for retail observation, local verification, receipt checks, and focused consumer feedback—without pretending every question needs a long survey.
Observe displayed prices across selected locations and time windows.
Confirm presence, stock signals, and eligible out-of-stock observations.
Collect clear placement, condition, and offer evidence.
Ask focused questions and collect fast, structured responses.
Verify specific eligible line items with privacy-aware evidence.
Check opening hours, menu prices, listings, or other public information.
Allocate response targets across markets, regions, or store types.
Track availability and presentation during a defined launch window.
Clarify the observation, audience, geography, timing, and decision it should support.
Create a concise brief, evidence standards, eligibility, validation rules, and participant reward.
Test the brief with a limited sample and refine ambiguous instructions before wider release.
Release in controlled waves and monitor coverage, completion, and quality signals.
Apply automated consistency checks and human review appropriate to the evidence.
Provide structured records, evidence references, exclusions, and summary views.
Reliable collection starts with a question people can answer consistently. Controls should be proportionate, transparent, and documented.
CSVStructured response recordsExample
JSONSystem-ready field deliveryExample
JPG / WebPValidated evidence referencesExample
XLSXReview-friendly summary tablesExample
DashboardCoverage and status overviewExample
These are examples only—not customer stories, testimonials, or outcome claims.
Collect displayed prices for a defined product set across sampled store types and markets.
Price · timestamp · store type · evidenceCheck whether a time-limited display is present, correctly positioned, and visibly stocked.
Presence · placement · condition · photosAsk one focused question to eligible participants across a planned regional sample.
Choice · reason · region · sample statusUse this browser-only model to understand the reward component of a possible campaign.
Across 4 markets. This excludes platform, review, and campaign-design costs and is not a binding quote.
Campaigns can allocate targets across selected countries, regions, city tiers, store types, or other relevant strata. Availability depends on participating markets and eligible contributors; coverage should never be assumed before feasibility review.
Briefs should avoid unrelated personal data, prohibit unsafe evidence, define purpose and retention, support participant rights, and use appropriate access controls. Requirements must be assessed for each campaign and jurisdiction.
The best campaigns have a clear observable question, precise participant instructions, proportionate evidence, defined eligibility, and a reward appropriate to the effort.
A possible workflow combines brief design, validation rules, consistency checks, duplicate prevention, location logic where appropriate, and documented manual review.
Illustrative exports can include CSV, JSON, image references, summary tables, and market-level aggregates. Exact fields depend on the campaign design.
No. Every example on this page is illustrative and shows a possible campaign structure, not a customer testimonial or performance claim.
We’ll help frame a clear, proportionate campaign for the observations or responses you need.
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