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. /Use cases
  3. /Detecting assortment cuts and SKU rationalization
Use case

How can you tell if a brand or retailer is cutting its product range?

A genuine range cut appears as a sustained fall in active products with matching delistings, not a temporary stock-out. Tracking assortment counts, last-seen dates and new-product flow weekly, by brand, retailer and category, shows whether a company is rationalizing its own range or losing shelf space at retailers.

For:Public market investorsPrivate equityConsultants

Last reviewed 24 September 2026

Separating a cut from noise

  • Sustained: counts stay lower for several weeks, not one.
  • Broad: the fall appears across retailers, or is concentrated at one (shelf-space loss).
  • Delisted, not out of stock: products stop appearing rather than showing as unavailable.
  • Newness: fewer new launches replacing delisted products confirms a smaller range.

Why it matters

Brand-led rationalization can lift margins and simplify inventory. Retailer-led cuts mean lost distribution. The same headline fall in product count has opposite implications, so the split by retailer and channel is essential.

Metrics used

  • Assortment rationalization: A deliberate reduction in the number of products a brand or retailer offers, often called SKU rationalization.
  • Assortment count: The number of distinct products a brand or retailer has live for sale at a point in time.
  • New-product share (new entrants): The percentage of a brand's live assortment that was first seen within a recent window, such as the last 13 weeks.
  • Share of shelf (online): A brand's share of the products a retailer lists in a category, measured on the retailer's website.

How each measure is built: methodology.

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.