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Competitor Price Monitoring Setup Checklist

A step-by-step checklist for launching a competitor price and promo tracking program that stays small enough to read and consistent enough to trust.

Download the checklist (.txt)

Reviewed for 2026, updated September 8, 2026.

Most competitor tracking programs fail in the first month for the same reason: the team tracks too many competitors and too many products, the data arrives late or incomplete, and nobody opens the spreadsheet on Monday. This checklist walks through the setup decisions in the order they need to be made, from naming a realistic competitive set to scheduling the weekly review. It follows the structure of our complete guide at /guide/ and is meant to be worked through once at launch, then revisited every quarter.

You do not need any particular software to complete it. A well-designed spreadsheet covers a brand with a few dozen products and a handful of real rivals. Where automation helps, it is with cadence and validation, not with the thinking. If you want to test the decisions as you go, the Price Position Index Calculator at /tools/price-position-index/ and the Promo-Adjusted Effective Price Calculator at /tools/promo-adjusted-effective-price/ are built for exactly the steps below.

  • Name your primary competitive set: the businesses customers actually mention when they say they saw it cheaper somewhere else
  • Keep a short secondary list of competitors for monthly review, and keep it out of the daily view
  • Pick your key value items: best sellers, entry-level anchors, and the products that show up most in comparison shopping
  • Match each tracked product to the competitor's equivalent listing, noting variant, pack size, and unit of measure
  • Decide which channels to track per competitor: their own store, marketplaces, and any regional storefront that matters to your customers
  • Set a collection cadence per product tier, more frequent for anchors and less frequent for the long tail
  • Note the detection lag you can live with for each tier so the cadence matches the actual risk of missing a move
  • Fix one capture rule and stick to it: list price, shipping treatment, tax treatment, and time of day
  • Check that your own listings are captured with the same treatment before you compare any gap
  • Record promotions in their own fields: mechanic, depth, start date, end date, and conditions such as minimum spend
  • Compute an effective price after promotions so list price and promo price never sit in the same column
  • Validate every collection run: flag missing prices, unit mismatches, and jumps large enough to suggest a page change rather than a price change
  • Store history from day one so you can tell a permanent repositioning from a promo that repeats every month
  • Choose your price index basis, competitor average or lowest competitor, and use the same basis on every report
  • Write down the gap that matters for each product tier, and the threshold that triggers a review rather than a reaction
  • Set alert thresholds that fire rarely enough that people still read them when they do
  • Log each competitor promotion on a calendar so repeat timing becomes visible over several months
  • Draft a short response playbook covering a competitor price cut, a new promotion, and a competitor stockout
  • Decide in advance which moves you will not respond to, and write that down too
  • Assign one owner for the data and one owner for the decisions, even if both are the same person today
  • Build the Monday dashboard around a handful of metrics the team will open without being reminded
  • Schedule a weekly review that ends with a decision log, including the decision to do nothing
  • Review the tracked set every quarter and remove the products and competitors nobody has looked at

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