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Fuel Cycle — A consented CPG shopper panel fused with retailer loyalty data: Fuel Cycle's P2 Engine incrementally builds an individual-level shopper profile from repeated short research interactions, then joins it to loyalty-program purchase records — purchase history, product preference, visit frequency and promotion/points-redemption engagement — so each panel member carries both stated (attitudinal, self-reported demographics and preferences) and revealed (loyalty basket) data on the same person, including at fuel and convenience retail channels.. Mid-scale research platform rather than a …
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A consented CPG shopper panel fused with retailer loyalty data: Fuel Cycle's P2 Engine incrementally builds an individual-level shopper profile from repeated short research interactions, then joins it to loyalty-program purchase records — purchase history, product preference, visit frequency and promotion/points-redemption engagement — so each panel member carries both stated (attitudinal, self-reported demographics and preferences) and revealed (loyalty basket) data on the same person, including at fuel and convenience retail channels.
Scale Not publishedFrom 8 yearsCoverage Industrials · Information Technology
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Fuel Cycle — A consented CPG shopper panel fused with retailer loyalty data: Fuel Cycle's P2 Engine incrementally builds an individual-level shopper profile from repeated short research interactions, then joins it to loyalty-program purchase records — purchase history, product preference, visit frequency and promotion/points-redemption engagement — so each panel member carries both stated (attitudinal, self-reported demographics and preferences) and revealed (loyalty basket) data on the same person, including at fuel and convenience retail channels.. Mid-scale research platform rather than a …
Fuel Cycle offers (Alternative, Sentiment) — Not published — est. millions of individual research responses plus linked loyalty basket records across client programs (inferred from a multi-year product operating inside large grocery and fuel-retail loyalty programs, with the article naming grocery-scale loyalty programs as the archetypal example).
Preference and choice modeling where stated preference can be validated against actual basket behavior, survey calibration and self-report bias measurement, loyalty-program lift and reward-optimization modeling, audience segment construction for retail media, new-product concept testing against real purchase propensity, fuel and convenience-channel shopper mission classification.
The data is with 8 years of history.
Coverage spans US; Research & Consulting Services, Application Software; alternative, sentiment; equities.
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