Prompt

Are there any hotel rate shopping tools that handle contracted and public rates separately without mixing the data?

Travel / Corporate Travel2 observationsLast seen Sep 30, 2026

Latest observation

Sep 30, 2026OpenAI APIWeb search: off

Yes. A number of hotel rate shopping / rate intelligence tools can keep contracted (negotiated) rates separate from public/retail rates, rather than blending them into one pool.

Tools that commonly support this

  • Lighthouse (formerly OTA Insight) – often used for rate shopping and can segment rates by source/type, including negotiated vs public in many setups.
  • RateGain – rate intelligence and parity tools that can distinguish between rate channels and rate types.
  • Amadeus / TravelClick (Demand360 / Agency360 / iHotelier ecosystem) – depending on the product and configuration, negotiated and public rates are typically handled separately.
  • Smith Travel / STR-related reporting tools – more benchmarking than shopping, but some enterprise setups separate rate classes.
  • Lanyon / Cvent (for corporate travel sourcing tools) – focused more on negotiated hotel programs than public rate shopping.
  • Duetto / Atomize / Similar RMS tools – not pure rate shoppers, but can ingest and compare market/public rates while keeping negotiated rates distinct in reporting.

What to look for in the product

Ask the vendor whether they support:

  • Rate-source segmentation by channel, brand.com, OTA, GDS, corporate, member, or negotiated
  • Contracted rate exclusions/inclusions in market comp sets
  • Separate reporting views for public vs private/contracted rates
  • Corporate code / rate plan mapping
  • Filtering by rate type so negotiated rates don’t affect public rate indices

Important caveat

A lot of “rate shopping” tools can technically capture both contracted and public rates, but they normalize them into a single comparison view unless you configure them carefully. So the key is not just whether they “support” it, but whether they let you:

  1. define contracted rates as a separate category, and
  2. report on them independently.

If you want, I can also give you:

  • a shortlist of vendors by use case,
  • a feature checklist to send to vendors, or
  • help you evaluate whether a specific tool separates them properly.

Observation history

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