The Data Purl platform: eCommerce data products for investors
Data Purl, an eCommerce pricing and assortment data provider, lets you follow any brand across the 400+ retailers that sell it, through three data products built from the same standardized dataset:
- Structured Datafeeds: granular SKU-level price, promotion and availability data, mapped to 1,900+ public companies.
- Ticker Analytics: ready-built company metrics for 400 companies.
- Sector Analytics: category-level price and promotion indicators.
All three are refreshed weekly and delivered by Snowflake, Amazon S3, the Data Purl portal or partner platforms.
Data products
Structured Datafeeds
Granular weekly records for every tracked product: listed price, full price, discount, availability, first-seen and last-seen dates, standardized category, brand and brand owner, plus ticker where the owner is listed. 1,900+ public companies mapped.
Ticker Analytics
Company-level metrics for 400 listed companies: assortment, average price, markdown and in-stock rates against prior years, with filters by brand, retailer and category.
Sector Analytics
Category composites across about 4,000 categories: inflation and discounting per category, split into same-SKU price moves, new products and mix shift across value, mid-market and premium tiers.
Inside the analytics portal
The portal puts the dataset to work without writing a query: follow your coverage, explore any company or category, and scope extracts for project work.
What makes the data usable
Collecting web data is the easy part. The value is in the transformation applied before the data reaches you:
- One category tree. Every product from every retailer is placed in the same tree of about 4,000 categories, so a category means the same thing at every retailer.
- Brand-to-owner resolution. Brand names spelled differently across retailers, sub-brands and licensed lines are resolved to one brand and one owner.
- Public and private owners. Every brand is resolved to its owner; listed owners are mapped to their securities with acquisition and licensing dates, so history is attributed correctly and backtests avoid look-ahead bias.
- Continuous history. Weekly data back to 2013.
- Unit standardization. Pack sizes are parsed into a net size and unit of measure so prices can be compared per ounce, per 100g or per liter.
Two ways to get the data
Analytics portal
For analysts who want answers fast. Explore sector, company, brand and retailer analytics, and download scoped extracts for project work.
- Start free on historical data with limited downloads
- Subscribe for ongoing access, or buy download credits per project
Full dataset
For quantitative, data science and research teams who want every record in their own environment: the complete SKU-level history, refreshed weekly.
- Delivered by Snowflake share or Amazon S3
- Scoped with a founder to your coverage and use case
Just need a one-off cut for a project? Scope a custom extract curated and researched, with the row count, price and a free sample first.
Delivery
Data is delivered in the way your team already works:
- Snowflake share
- Amazon S3
- Data Purl portal
- Partner platforms
Refresh
The dataset refreshes weekly: each Monday-to-Sunday week is delivered by Wednesday afternoon New York time (about 4pm Eastern, Wednesday evening in the UK), three days after the week closes.
See the data for your coverage
Start free in the analytics portal, or talk to the founders about the full dataset delivered to Snowflake or S3.