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Engage3 — Hourly store-level competitive price panel: fuel prices per grade and in-store/SKU promotional prices scraped from retailer websites, mobile apps and discount apps across tens of thousands of forecourt/c-store locations, delivered 24/7 by API or SFTP, plus derived price-image/price-optimisation outputs. Large for the niche: 260 employees, $68.5M raised, ~$35M revenue band, Davis CA; coverage in the tens of thousands of US retail sites at hourly cadence with named top-10 c-store chains — among the broadest high-frequency retail price panels available commercially. Use cases: Algorith…
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Hourly store-level competitive price panel: fuel prices per grade and in-store/SKU promotional prices scraped from retailer websites, mobile apps and discount apps across tens of thousands of forecourt/c-store locations, delivered 24/7 by API or SFTP, plus derived price-image/price-optimisation outputs
From 10 yearsCoverage Consumer DiscretionaryAsset class Equities · Commodities
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Engage3 — Hourly store-level competitive price panel: fuel prices per grade and in-store/SKU promotional prices scraped from retailer websites, mobile apps and discount apps across tens of thousands of forecourt/c-store locations, delivered 24/7 by API or SFTP, plus derived price-image/price-optimisation outputs. Large for the niche: 260 employees, $68.5M raised, ~$35M revenue band, Davis CA; coverage in the tens of thousands of US retail sites at hourly cadence with named top-10 c-store chains — among the broadest high-frequency retail price panels available commercially. Use cases: Algorith…
Engage3 offers (Alternative, Price, Sentiment, Supply Chain) — Order 10^10 price observations over the archive (est. from the stated mechanic: tens of thousands of locations × hourly cadence × multiple fuel grades plus in-store promoted SKUs per location per cycle).
Algorithmic/dynamic fuel and in-store pricing models; store-level price-image and competitor-positioning benchmarking; high-frequency CPI and grocery/SNB inflation nowcasting from promotional price series; retail demand-elasticity and promo-lift modelling; training price-optimisation models (the vendor's own Efficient Frontier price-setting is itself a supervised use of this data)
The data is with 10 years of history.
Coverage spans US, Other, Japan; Drug Retail; alternative, price, sentiment, supply_chain; equities, commodities.
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