Data Purl
  • Platform
    • Coverage400+ retailers across the US, UK, Europe and Asia, history back to 2013
    • Shelf IndicesFree monthly price and discount indices by category and country
    • Brand headlinesQuarterly prices and markdowns for 84 consumer brands
    • Custom dataResearched extracts scoped to your sectors, brands and dates
    • MethodologyHow we collect, classify and map brands to 1,900+ listed companies
    • ValidationCollection success, quality screens and backtests
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  • Solutions
  • Pricing
    • ResearchFindings tested against the shelf, and brand studies
    • BlogWhat the online shelf showed this month
    • GlossaryDefinitions of retail and alternative-data measures
Client loginStart free
  • Platform
    • Coverage400+ retailers, history back to 2013
    • Shelf IndicesFree monthly price and discount indices
    • Brand headlinesQuarterly prices for 84 consumer brands
    • Custom dataExtracts scoped to your sectors and dates
    • How we build it
      MethodologyHow we collect, classify and map brands
    • ValidationQuality screens and backtests
  • Solutions
  • Pricing
    • Research
    • Blog
    • Glossary
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  1. Home
  2. /Glossary
  3. /Velocity
Glossary

What is velocity?

How quickly products sell. Data Purl does not observe unit sales; it provides shelf signals that indicate velocity, such as full-price sell-out and time to markdown.

Definition

Velocity usually means units sold per period. Data Purl measures what is visible on retailer websites (prices, markdowns, availability and assortment), not transactions, so it does not report unit sales velocity.

What the shelf does show are signals that move with velocity: how fast sizes sell out at full price, how long products hold full price before being marked down, and how quickly restocked sizes sell out again.

How Data Purl measures it

Velocity signals are built from weekly SKU-level availability and price histories: time from first seen to first markdown, share of sizes selling out at full price, and restock patterns.

Why it matters

For investors these signals lead reported sales: strong full-price sell-out and late markdowns tend to precede good sell-through and margins.

Pitfalls

  • Treat these as indicators of velocity, not measured unit sales. Pair them with transaction data where exact volumes are needed.

Related

Full-price sell-outMarkdown breadthIn-stock rate (availability)

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Data Purl

Data Purl is an eCommerce pricing and assortment data provider that follows every brand across the retailers that sell it: SKU-level price, discount, availability and assortment history across 400+ retailers back to 2013, compared like for like, with brands resolved to their owners, public or private, and listed owners mapped to tickers.

+44 20 8125 3010 (UK)+1 212-660-0780 (US / International)

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400+
retailers
1,900+
public companies mapped
4,000
product categories
2013
history back to

© 2026 Data Purl. All rights reserved. Data Purl is a trading name of Cleveland Alternative Data Limited, a company registered in the United Kingdom with company number 16234509. Registered office: Basement, 52 Cleveland Square, London W2 6DB. Contact: support@data-purl.com.