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Benchmark price levels across currencies with consistency.

Where cross-border parity follows a single SKU, benchmarking compares whole categories and baskets between countries. We build consistent baskets, collect local prices and present them in several currency views so regional teams can compare price levels fairly.

How it works

Four steps from sources to signal.

STEP 01

Design comparable baskets

We define a basket per category using equivalent products by tier, size and specification. Where identical SKUs are not sold everywhere, we choose close equivalents and document the substitution.

STEP 02

Collect across markets and retailers

Local prices are captured from several retailers per market to avoid single-retailer bias, with outliers reviewed.

STEP 03

Express in several currency views

Basket totals are shown in local currency, in a reference currency such as USD or EUR, and on a purchasing-power basis where you need affordability comparisons.

STEP 04

Track change over time

Repeat collection produces local inflation and relative price-level trends, separated from currency movement.

Data points

What we capture.

Every field is validated, normalised and documented in a data dictionary you can share with your analysts.

Basket definition

The products, tiers and substitutions used in each market.

Local basket cost

Median and range of basket cost across retailers in each market.

Reference currency cost

Basket cost converted at a documented daily rate.

Purchasing-power view

Cost adjusted by a public purchasing-power conversion factor.

Tier split

Separate indices for premium, mid-market and value products.

Retailer coverage

Number of retailers contributing to each market figure.

Deliverables

What you receive.

  • Quarterly category price-level index by country
  • Basket cost tables in local, USD and purchasing-power terms
  • Local price inflation tracker by category
  • Premium versus value tier comparison across markets
  • Methodology note documenting basket and substitutions
Built for
Regional strategy and expansion
Commercial finance
Market research and insights
Pricing
Sample output

An illustrative extract.

Breakfast basket price levels, Latin America, May 2026
MarketBasket costCurrencyCost in USDIndex (US=100)RetailersTier
Brazil96.40BRL17.53714Mid-market
Mexico342.00MXN19.90815Mid-market
Colombia78,500COP18.92773Mid-market
Chile17,900CLP18.85774Mid-market
United States24.60USD24.601005Mid-market

Illustrative rows. Sources, markets and fields are agreed with you during scoping.

FAQ

Questions about multi-currency benchmarking

Can’t find your answer? Ask an engineer

How is this different from cross-border price parity?

Parity tracks the exact same SKU across markets to catch corridor breaches. Benchmarking compares whole baskets and categories, using equivalents where identical products are not sold, to understand relative price levels.

How do you choose equivalent products?

We match on tier, pack size, specification and positioning, and document every substitution. You review the basket before collection begins, so the comparison reflects your view of the category.

Can you add a purchasing-power view?

Yes. We can apply publicly available purchasing-power conversion factors alongside market FX rates. This helps when the question is affordability rather than absolute price.

Start with proof

See your own data before you commit.

Name the sources and fields you need. Within 24–48 hours you receive a real sample from your target sites, in your format, free of charge.

Request a free sample Talk to a data engineer Sample in 24–48 hours · NDA on request · Any format, any schedule