Facteus Exclusive Data Product:
Onyx
Access the largest consistent capture of product SKU-level sales data covering hardline and softline companies in the United States.
UPCs
Frictionless quant investor backtesting is available with easy, ticker-level ingestion across Snowflake, S3, or any other platform.
Categories and Tickers include:
Home Improvement
ITW, SWK, HON, WHR, WDFC, RPM
Apparel
DECK, SKX, TPR, CROX, SHOO, LEVI, PVH, HBI
Sporting Goods
GOLF, NIKE, MODG, COLM, UAA
Big Box Retail
ROKU, YETI, HNST
Pet Care
CENT
CGP
PG, KO, CHD, SMPL
The largest investors in the world trust Facteus for alpha generation in their trading decisions.
“The speed, granularity, and predictive signals Facteus data provides have given our quantitative strategies a meaningful edge in positioning ahead of market movements.”
– Top 10 Hedge Fund
Us vs. Them
Receipt Panels
Other Alt. Datasets
Facteus Onyx
Full Store Capture of
Transactions
Consistent Data
Contributors
Exclusive Sources
Annual Spend
$5B
$150B
$400B
Aggregated
Lag
5 Days
3 Days
1 Day
Full Fill
7 Days
10 Days
4 Days
Available via Snowflake, S3, and more
Data Dictionary
Field name
Data Type
Description
TRANSACTION_DATE
DATE
Date when the consumer transaction occurred
COMPANY_NAME
TEXT
Parent company name of the ticker
TICKER
TEXT
The primary ticker symbol of the company *
EXCHANGE
TEXT
The primary stock exchange of the ticker *
QUANTITY
NUMBER
The aggregated quantity of all units purchased on a given day
TRANSACTION_AMOUNT
NUMBER
The aggregated spend of all transactions at a ticker on a given day
MARKDOWNS_AMOUNT
NUMBER
The aggregated amount of all discounts at a ticker on a given day
NET_TRANSACTION_AMOUNT
NUMBER
This is net transaction amount which is equivalent to TRANSACTION_AMOUNT-MARKDOWNS_AMOUNT
NUMBER_OF_TRANSACTIONS
NUMBER
The aggregated count of all transactions at a ticker on a given day
AVG_UNIT_PRICE
NUMBER
This is the net transaction amount per quantity
AVG_TICKET_SIZE
NUMBER
This is the net transaction amount per transaction
NUMBER_OF_SKUS
NUMBER
The aggregated count of all individual items sold at a ticker on a given day
NUMBER_OF_STORES
NUMBER
The aggregated count of all stores having a transaction by a ticker on a given day
TOTAL_TRANSACTION_AMOUNT _AT_STORES
NUMBER
The total spend from all transactions, regardless of tickers, at stores that also sold the same ticker products on a given day
PROCESS_DATE
DATE TIME
The date the file was generated by Facteus, and that matches the date in the file name
Get detailed insights into the key revenue drivers for any brand.