Fuel Sales Panel
store × grade × day · ~3.7 years (since Oct 2022)
- transactions
- gallons
- gross sales
- avg retail price
- est. cost
- gross margin / gal
First-party data · Central Texas
Convenience retail POS & fuel data.
First-party, store-level POS and fuel sales from 25 independent convenience stores — ~165,000 transactions a month, anonymized and delivered on a recurring feed.
- Stores
- 25
- Transactions / month
- ~165K
- Fuel history
- 3.7 yrs
- Merch categories
- 12
The panel
Three panels, one feed.
Store-level fuel and in-store sales on the same stores, same days — aggregated to a daily grain, fully anonymized. No customer, card, loyalty, basket, or address data.
Merchandise Panel
store × product × day (or category) · daily, since Mar 2026 (growing)
- UPC + product name + category
- 12 categories · 24K+ UPCs
- transactions
- units
- gross sales
- avg unit price
Store Metadata
one row per store · static
- anonymized store id
- state + ZIP code
- metro region
- fuel brand
What you'd receive
A real, anonymized sample.
Actual rows from the panel — store identity anonymized to STORE_NN, aggregated to the day. This is exactly the shape you'd license.
fuel_sales_panel.csv store × grade × day
| store_id | zip | date | grade | txns | gallons | gross_$ | avg_price | est_cost | margin/gal |
|---|---|---|---|---|---|---|---|---|---|
| STORE_01 | 78606 | 2026-03-25 | UNL | 175 | 1,866.4 | 7,015.64 | 3.5811 | 2.7955 | 0.7856 |
| STORE_01 | 78606 | 2026-03-25 | DIESEL | 21 | 392.6 | 1,917.47 | 4.8509 | 3.7451 | 1.1058 |
| STORE_01 | 78606 | 2026-03-26 | UNL | 177 | 2,123.9 | 7,762.23 | 3.5884 | 2.7982 | 0.7902 |
| STORE_01 | 78606 | 2026-03-27 | UNL | 174 | 1,979.7 | 7,391.94 | 3.5734 | 2.7982 | 0.7752 |
merch_product_panel.csv store × product × day
| store_id | zip | date | product_name | category | txns | units | gross_$ | avg_price |
|---|---|---|---|---|---|---|---|---|
| STORE_01 | 78606 | 2026-06-08 | Marlboro Gold Pack 20 Ct | tobacco | 4 | 4 | 43.84 | 10.96 |
| STORE_01 | 78606 | 2026-06-08 | Michelob Ultra Superior | beer_alcohol | 1 | 1 | 20.99 | 20.99 |
| STORE_01 | 78606 | 2026-06-08 | Red Bull Energy Drink 12 | energy_drinks | 6 | 6 | 26.94 | 4.49 |
| STORE_01 | 78606 | 2026-06-09 | Monster Energy Drink 16O | energy_drinks | 3 | 3 | 11.07 | 3.69 |
Illustrative rows from the anonymized sample. The full sample package includes 90 days of fuel, the merchandise panel, store metadata, a data dictionary, and a coverage summary.
Packages
License it your way.
From a monthly category report to a semi-exclusive partnership. Pick the depth and cadence you need.
CPG brands & distributors $750–$2,500 / mo
Category Trend Report
Monthly category movement across all 25 stores — units, sales, and price trends, delivered as PDF + CSV.
Analytics & data teams $2,500–$12,500 / mo
Normalized Data Feed
The full store-level fuel + merchandise panels on a recurring cadence, as CSV / Parquet / Snowflake. Enterprise & semi-exclusive pricing available.
Fuel / energy analytics From $2,500 / mo
Fuel Price & Margin Feed
Fuel only: store-level gallons, retail price, and computed margin across UNL, Plus, Premium, Diesel.
Aggregators · research · alt-data From $50,000–$75,000 / year
Semi-Exclusive Partnership
Limited semi-exclusive access by category, geography, or use case — including SKU/UPC-level merchandise under license. (Not blanket exclusivity.)
How it works
From sample to recurring feed.
01
Request a sample
Tell us your use case. We send an anonymized 90-day sample package + the data dictionary.
02
Review coverage
Evaluate fields, row counts, freshness, and example insights against your needs — no commitment.
03
Pick a package
Choose cadence (daily/weekly/monthly) and format (CSV/Parquet/S3/SFTP/Snowflake/API).
04
Delivered, recurring
We stand up the feed and refresh it on schedule. Margin and SKU detail available under license.
Delivered as CSV / Parquet via S3, SFTP, Snowflake, Databricks, or API — daily, weekly, or monthly.
Who it's for
Built for data buyers.
CPG brands & distributors
Beverage, snack, tobacco, energy-drink, and foodservice category teams tracking convenience-store movement.
Fuel & energy analytics
Pricing and margin intelligence from real station-level gallons, prices, and cost basis.
Data aggregators & research
Independent-operator coverage to complement large-chain panels — a coherent single-metro read.
Alternative data
Recurring, hard-to-replicate convenience + fuel demand signal for institutional buyers.
Privacy by construction. First-party data from our own stores, aggregated to store/day. No personally identifiable information,
payment-card data, loyalty IDs, basket-level records, or street addresses. Store identity anonymized;
licenses prohibit re-identification and raw-data resale.
Want to see the data?
Request the anonymized sample package and data dictionary. Tell us your use case and we'll scope the right package.