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Upside — Convenience-retail transaction panel: four years of point-of-sale transaction data across 1,700+ US c-stores — daily in-store revenue per store, transactions per day, items per transaction, basket value, and fuel-versus-in-store behaviour with cross-sell attribution — plus inflation-adjusted restatements of the same series, consumer-survey responses on offer influence, and the platform's own offer targeting/redemption and attribution outcomes linking fuel customers to in-store purchases. Well-capitalised scale-up with a genuine proprietary transaction panel: 400 employees, $100M rais…
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Convenience-retail transaction panel: four years of point-of-sale transaction data across 1,700+ US c-stores — daily in-store revenue per store, transactions per day, items per transaction, basket value, and fuel-versus-in-store behaviour with cross-sell attribution — plus inflation-adjusted restatements of the same series, consumer-survey responses on offer influence, and the platform's own offer targeting/redemption and attribution outcomes linking fuel customers to in-store purchases
From 4 yearsCoverage Consumer Discretionary · Information TechnologyAsset class Equities
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Upside — Convenience-retail transaction panel: four years of point-of-sale transaction data across 1,700+ US c-stores — daily in-store revenue per store, transactions per day, items per transaction, basket value, and fuel-versus-in-store behaviour with cross-sell attribution — plus inflation-adjusted restatements of the same series, consumer-survey responses on offer influence, and the platform's own offer targeting/redemption and attribution outcomes linking fuel customers to in-store purchases. Well-capitalised scale-up with a genuine proprietary transaction panel: 400 employees, $100M rais…
Upside offers (Alternative, Consumer, Sentiment, Price) — Order 10^8-10^9 transactions over the panel window (est. from stated coverage: 1,700 stores × 4 years × typical 500-1,500 transactions per store per day), each carrying basket composition and, for offer-touched visits, exposure and redemption attribution.
High-frequency real consumer-demand nowcasting (inflation-deflated daily basket and traffic series from 1,700+ stores is a genuine leading indicator of low-income/consumer spending); training offer-optimisation and uplift models on exposed-vs-redeemed pairs; pairwise preference / RLHF-style data on which incentives change station and retailer choice; fuel-demand and mobility trend monitoring; retail media and loyalty audience construction; benchmarking basket and traffic trends against industry aggregates
The data is with 4 years of history.
Coverage spans US; Drug Retail, Internet Services & Infrastructure; alternative, consumer, sentiment, price; equities.
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