FuelSnap

FuelSnap — Completed e-commerce transactions in residential delivered heating fuel: price locked at order time per dealer per ZIP, gallons ordered, delivery-by date versus actual fill time, dealer chosen versus dealers shown, order-to-delivery latency, and the review/rating left afterwards; plus the pre-purchase comparison event itself (which dealers and prices were shown side by side for a given ZIP, and which one the household picked) and tank-level telemetry from the companion tank-gauge integration the platform recommends. Very small commercially (2 employees, Danbury CT) with data value …

FuelSnap offers (Price, Alternative, Sentiment, Consumer) — Small but exceptionally clean: est. 5k-50k completed orders to date (2-person company, 1-4 fills per household per season across a limited dealer network), each carrying a full chosen-versus-shown price menu, quantity, timing and post-transaction rating — likely only tens of megabytes, but with a per-order richness no survey or directory reproduces.

Price-elasticity and discrete-choice modelling of residential energy purchasers with genuine chosen-versus-shown menus (the rare part — most price data has no counterfactual set); cold-start validation of the hypothesis that heating-oil demand is price-inelastic and locally monopolised; delivered-price-nowcasting from binding transaction prices rather than posted estimates; dealer competitive-density and margin-pressure analysis by ZIP; churn and loyalty modelling in a historically locked-in, budget-plan-based category; training data for autonomous ordering and demand-pull systems fed by tank telemetry; heat-pump and fuel-switching substitution analysis

The data is with 10 years of history.

Coverage spans US; Internet & Direct Marketing Retail, Oil & Gas Storage & Transportation; price, alternative, sentiment, consumer; commodities, equities.