How our competitor pricing tool works (methodology)

Manual rate shopping across OTAs is slow and inconsistent. A structured tool reduces “I think the hotel next door is cheaper” debates by putting comparable public prices in one workflow for the dates you care about.

The experience is built around user-selected competitors and dates, then organizes publicly oriented rate cues the product can surface for that session. Always read on-screen caveats: public BAR is not net rate, may include different cancellation terms, and may not match your room content parity.

We do not claim insider access to a competitor’s PMS. We do not invent win-rate statistics.

• Compare like-for-like room categories when possible
• Note inclusions (breakfast, refundability) before reacting
• Treat one OTA screenshot as incomplete evidence

First check product match: view, bed type, cancellation, taxes display. Then check your pace—if you are ahead of budget, matching may destroy ADR for no gain. If you are behind and the competitor is truly comparable, consider a bounded move inside your floor, not a race to the bottom.

Many independents do a light daily glance for the next weekend and a deeper weekly review for 14–30 days out. Increase frequency around citywide events. Decrease when your book is constrained by groups.

Compset context is one signal among many. NISKA’s AI Revenue Manager can use richer in-stack signals under policy when you enable that agent. The free tracker trains the habit of structured shopping; the agent operationalizes governed decisions.