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Guide

Competitor price insights that point to a decision

Comptrace matches comparable competitor offers automatically, then turns those rows into rank, gap, trend, and freshness signals. Teams skip the spreadsheet and focus on the products that actually need a pricing move.

Every signal traces back to a matched, scraped source row with a timestamp.

Turn scraped rows into signals you can scan

Raw competitor rows are impossible to read at catalog scale. Comptrace summarizes each matched product into a few signals: price rank shows where you sit against comparable offers, average gap quantifies the distance, and trend shows whether the market is moving or holding steady.

  • Read price rank to spot products priced above or below the market at a glance.
  • Use average gap to rank spreads by size, not by which scrape ran last.
  • Use trend to separate fresh market movement from long-standing differences.
  • Trace every signal back to matched, scraped source rows with timestamps.

Act on insights by product priority

An insight only matters if it changes what you do next. High-margin products can tolerate a weaker rank, campaign and hero products need faster checks, and the long tail often needs nothing more than exception monitoring. Comptrace lets you weight attention instead of reacting to every scrape.

  • Prioritize high-revenue products backed by fresh competitor evidence.
  • Escalate stale or thin data before you trust the signal it produced.
  • Route insights into a pricing policy, then keep approved changes under team control.
  • Treat coverage gaps as flagged exceptions with status and timestamps, never silent blanks.

Move from market overview to source detail

Comptrace opens with a market overview so you can triage the catalog fast, then lets you drill into any product: source URLs, scraped-at timestamps, seller and shipping context, and the matching evidence behind the comparison.

Prices stay private

Your workspace is logically isolated. No catalog field, imported price, or scraped result ever feeds into another account.

Matching is explainable

AI uses product text, identifiers, imagery, retailer pages, and Google-discovered data to decide whether offers are comparable.

Metrics are action-oriented

Price rank, average gap, trend direction, and scraped-at timestamps tell teams what changed and whether the data is fresh.

See how your prices compare

Run a free competitor price check in minutes, then create a workspace to track it continuously.

Check competitor prices