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. /Mix shift
Glossary

What is mix shift?

The part of an average-price change explained by a change in which products are on sale, rather than by price changes on the same products.

Definition

When the average price of a category rises, part of the rise may come from existing products getting more expensive (matched-SKU inflation) and part from the range moving towards more expensive products (mix shift).

How Data Purl measures it

Data Purl decomposes the change in average price into same-SKU price moves, net new products, and mix movement up and down the price tiers.

Why it matters

Mix shift separates premiumisation and range strategy from pricing. For modeling revenue per unit, the two have different drivers and different persistence.

Related

Matched-SKU inflation (same-SKU price change)Price architectureNew-product share (new entrants)
  • Measuring category inflation from online prices

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.