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
    • Not sure what you need?Talk to the founders
  • 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
Not sure what you need?Talk to the foundersClient login
  1. Home
  2. /Glossary
  3. /Markdown breadth
Glossary

What is markdown breadth?

The share of each product's in-stock sizes and variants selling below full price, averaged across products so each product counts equally.

Definition

Markdown breadth is the share of the in-stock range selling below full price. For each product, Data Purl takes the share of its in-stock sizes and variants that are marked down, then averages across products so each product counts equally. If a quarter of a brand's in-stock range is on sale, its markdown breadth is 25%.

It measures how widely discounting is applied, not how deep the discounts are. Discount depth is the companion metric.

Formula

Markdown breadth = average over products of (marked-down in-stock SKUs / in-stock SKUs)

Worked example

A brand has two products in stock. Product A has 10 in-stock sizes, 4 of them on sale (40%). Product B has 5 in-stock sizes, none on sale (0%).

Markdown breadth = (40% + 0%) / 2 = 20%. Each product counts equally, however many sizes it has.

How Data Purl measures it

Data Purl records the listed price and the full (original) price of every tracked SKU each week. A SKU counts as marked down when its selling price is below its full price.

Breadth is calculated per brand, retailer, category and country, and can be compared with the same calendar weeks in prior years to remove seasonality.

Why it matters

Rising markdown breadth ahead of a reporting period often signals excess inventory and gross-margin pressure. Falling breadth can indicate healthy full-price demand.

Because it is observable weekly from public websites, it is available well before a company reports.

Pitfalls

  • Compare against the same weeks last year. Seasonal sale events make raw week-on-week changes misleading.
  • Separate a brand's own site from wholesale partners. A brand can hold price on its own site while retailers discount its products.

Questions

What is the difference between markdown breadth and discount depth?

Breadth is how much of the range is on sale; depth is how big the discounts are on the items that are. A brand can discount a few items deeply (low breadth, high depth) or many items lightly (high breadth, low depth).

What is a normal markdown breadth?

It varies by category and season. In Data Purl's Shelf Indices, between about 42% and 51% of the in-stock US apparel range was marked down in each month of 2025 and 2026. Compare with the same weeks a year earlier rather than with a fixed benchmark.

Related

Discount depthFull-price availabilityMatched-SKU inflation (same-SKU price change)
  • Tracking a company's pricing power with eCommerce data
  • Using markdowns as an early inventory and gross-margin signal
  • Commercial due diligence with eCommerce data
  • Monitoring portfolio companies and competitors after the deal
  • Measuring tariff price pass-through with online shelf prices
  • Tracking holiday and event promotions year on year
  • Using eCommerce data in a consumer earnings preview
  • Tracking product launches and newness
  • How to choose an eCommerce pricing and assortment data provider

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.

Start free Talk to the founders
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)

Product

  • Platform
  • Coverage
  • Retailers
  • Custom data
  • Methodology
  • Compliance
  • Validation
  • vs AI web scraping
  • Choosing a data provider

Solutions

  • Public market investors
  • Private equity
  • Consultants
  • Investment banking M&A
  • Venture capital

Use cases

  • Pricing power
  • Markdowns and inventory
  • Commercial due diligence
  • Brand distribution
  • Category inflation
  • Portfolio monitoring
  • Tariff pass-through
  • Holiday promotions
  • Private label
  • Assortment cuts
  • Earnings previews
  • Product launches
  • Choosing a data provider
  • Build vs buy

Resources

  • Plans and pricing
  • Research
  • Blog
  • Shelf Indices
  • Brand headlines
  • Use cases
  • Glossary
  • FAQ
  • About
  • Privacy policy
  • Terms of use
  • Start free
  • Talk to the founders
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.