Shelf to Signal
Our team’s mission is to fuel investors with the market’s most comprehensive eCommerce ground truth dataset.
mapped tickers with 7 years of history
rows of eCommerce data
retailers tracked globally
Comprehensive insights from 80+ billion rows of eCommerce data across the US, Europe, and Asia
Comprehensive market coverage across industries
From retail giants to emerging brands, we track eCommerce performance across sectors and countries.
Apparel and Footwear
Track apparel, footwear, and luxury goods across 150+ major retailers. Monitor seasonal assortment shifts, velocity, price/in-stock dynamics, and promotional intensity.
Home & Living
Coverage of appliances, furniture, décor, and DIY across top generalist and specialty retailers.
Consumer Goods
CPG, grocery, pet and every day essentials, tracked down to the SKU level.
Global Market Reach
80+ billion rows standardized across three major regions. Clean brand + retailer mapping enables faster signal extraction and cross-region comparisons.
eCommerce 2.0 Data Suite
eCommerce 2.0 is our new suite of global pricing & promotion data products created from applying extensive mapping, tagging and data transformations to web data
Why to buy:
- •Ease of buying - Compliance friendly (publicly available data collection)
- •Magnitude - 80bn rows of data and 7 years of history on average
- •Consistency - 250+ retailers with 99% of more collection success rate over the last 104 weeks
- •Ease of use - mapped to standard category tree, 850+ Bloomberg ticker IDs
CALENDAR QUARTER SIGNAL
Illustrative backtest: Data Purl proprietary signal (lead indicator) vs reported gross margin YoY net bps. Past performance is not indicative of future results.
eCommerce Data Feeds
Granular SKU, pricing, promo & availability for 800+ mapped tickers.
- SKU & price history
- S3 / Snowflake / API
- Global cadence
- Point-in-time keys
Ticker Analytics
Aggregated metrics & backtests for 360+ covered tickers.
- Brand linkage
- Discounting trends
- Correlation-ready
- Historical depth
Sector Analytics
Category composites, pricing & promo intensity indicators.
- Category rollups
- In-stock dynamics
- Regional splits
- Trend detection
Third Party Platforms
Delivery via Exabel, Maiden Century, ARB, Quanted & more.
- Dashboards & reports
- Workflow integration
- Custom SLAs
- Portfolio alignment
We serve a variety of investment research styles
Purpose-built datasets and analytics to meet the needs of Fundamental, Quant, Macro, and Private Markets teams.
- Validate management narrative and track ongoing issues
- Model KPIs such as margins and inventory
- Explain variance in revenue models
- 360 tickers with ready-to-use aggregations
- 50+ backtests for margin and inventory modeling
- Identify new trends across categories
- Category-level inflation proxies
- Regional and cross-site splits
- Time-series stability and coverage
- Multi-year retrospectives by brand or category
- Competitive benchmarks and share-of-shelf
- Flexible integration & delivery options
Don't take our word for it — trusted by leading financial institutions
Teams across public and private markets rely on Data Purl to accelerate research and sharpen conviction.
“We spend a ton of time to get a similar R², this gives us that time back.”
“We use Data Purl as they have the best apparel dataset on the market.”
“This is exactly the format of data we need.”
Compliance & Ethics
Our commitment to upholding privacy and ethical data practices drives our data harvesting policy.
Serving investors since 2018
100+ compliance processes approved
80+ billion rows of data
covering 350+ retailers with 7 years of history on average
Strong compliance focused
data collection and processing approaches
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