Overview

The Decodo Dynamic Pricing Index 2025 provides a comprehensive assessment of dynamic pricing practices across global eCommerce markets. This index evaluates the prevalence, sophistication, and strategic implementation of dynamic pricing techniques used by leading eCommerce websites worldwide.

Scope

The Dynamic Pricing Index 2025 encompasses:

  • Countries analyzed: 40 countries across 5 continents
  • Total websites: 120+ eCommerce websites
  • Products per website: 12 products (6 high-value, 6 low-value)
  • Total products tracked: 1,440+ products
  • Tracking period: January – December, 2025
  • Data collection frequency: Every 4 hours (6 captures per day)
  • Total data points: 1.5M+

Data collection

For each country, three eCommerce websites were selected using a hierarchical relevance framework:

  1. Primary selection: locally-based eCommerce platforms headquartered in the target country, prioritized by monthly unique visitors and transaction volume.
  2. Secondary selection: regionally-operating platforms that serve multiple countries within a geographic region (e.g., Benelux, Baltics, Nordics).
  3. Tertiary selection: global platforms with significant market presence in the target country, used only when local or regional alternatives are unavailable.

Website traffic data was sourced from SimilarWeb and validated against regional eCommerce market reports. The selection methodology prioritizes locally relevant platforms to ensure the index reflects authentic market-specific pricing behaviors rather than standardized global practices.

Product selection followed a layered sampling approach:

  • Four product categories selected from each website's front page navigation
  • Three products per category, balanced between high-value (>$100 equivalent) and low-value (<$50 equivalent) items
  • Products selected based on category popularity and sufficient inventory availability
  • Exclusion of limited-edition, clearance, or seasonal-only items

Automated price tracking was conducted using Decodo’s Web Scraping API with the following specifications:

  • Collection interval: every 4 hours (00:00, 04:00, 08:00, 12:00, 16:00, 20:00 UTC)
  • Data points captured: current price, original/list price, discount indicators, currency, timestamp, and others
  • Validation: real-time response validation with automatic retry for failed requests
  • Currency normalization: all prices converted to USD using daily exchange rates

Data analysis

After the data collection, each website’s data points were then analyzed by:

  • Total changes: the number of times a retailer adjusted prices across all tracked products during the analysis, measuring overall pricing activity and frequency of repricing decisions.
  • Deep drop: the percentage of price changes that included significant discounts of 10% or more. This shows how often retailers use substantial price reductions rather than minor adjustments in their pricing strategy.
  • Drop depth: the average percentage discount when prices are reduced. This measures the typical magnitude of price cuts, showing whether eCommerces favor shallow or steep discounts.
  • Stability: the percentage of time prices remained completely unchanged. This metric indicates price predictability, with higher stability meaning consumers can expect consistent pricing across visits.
  • Silence: the percentage of time between price changes when no pricing activity occurs. This measures the length of quiet periods, showing how long prices typically stay steady before the next increase or decrease.

About the index

The Decodo Dynamic Pricing Index ‘25 was developed to provide businesses, researchers, and market analysts with actionable insights into global eCommerce pricing strategies. The index quantifies the adoption and sophistication of dynamic pricing across diverse markets, enabling:

  • Competitive benchmarking of pricing strategy maturity
  • Market entry analysis for international expansion
  • Technology investment prioritization for pricing capabilities
  • Academic research into global pricing behavior patterns

Discover more insights

Dive deeper into our report and uncover key findings in the eCommerce landscape.