Insights

15 July 2026 / 2 min read

How to run a competitor pricing study without a big-firm budget

A focused competitor pricing study can reveal the market logic behind price, pack, offer, and positioning.

A shopper comparing products and price labels across a supermarket category
A shopper comparing products and price labels across a supermarket category

A useful competitor pricing study is not a spreadsheet of prices. It explains how competitors construct value, where offers are directly comparable, and what customers are being asked to trade off.

You can run a focused version without a large research budget if the question is narrow and the collection method is consistent.

Define the decision first

Pricing research becomes unfocused when the team begins with “What does everyone charge?” Start with the decision:

  • Are we setting the launch price for a new offer?
  • Are we losing on price or on perceived value?
  • Should we change pack size, plan structure, or discount depth?
  • Is there an underserved price tier?

The decision determines which competitors and data points matter.

Build a comparable market set

Include direct competitors, one lower-priced alternative, one premium alternative, and one substitute that solves the same customer problem differently.

Avoid comparing headline prices without normalising the offer. Record unit, pack size, contract length, included features, delivery terms, taxes, and promotional conditions.

Capture the full offer

For each competitor, collect:

  1. Base and promotional price
  2. Product or plan architecture
  3. Claims and proof used near the price
  4. Bundles, thresholds, and add-ons
  5. Channel differences
  6. Frequency and depth of discounting

Screenshots with dates are useful because digital prices and offers change.

Separate observation from interpretation

“Competitor A charges ₹999” is an observation. “Competitor A is targeting convenience-first buyers” is an interpretation. Keep these distinct so the team can challenge the logic without disputing the source data.

Look for pricing architecture, not an average

An average market price often hides the useful pattern. Map offers by price tier and value proposition. Then look for crowding, gaps, and inconsistent value steps.

The output should help the team choose a position. It should not simply confirm that the market contains many different prices.

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