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COOChiefIntelligence

Revenue prompt

Pricing rule audit

Find the automated rules quietly giving away rate.

pricingrevenueautomation

Updated

The problem

Discount ladders and minimum-stay rules are set once and rarely revisited, long after the market changed.

The outcome

A list of rules to change, with the reason and the estimated annual value.

The prompt

Audit these automated pricing rules against current booking behaviour. For each rule, say whether it is helping, neutral or costing money, and why. Flag any discount that triggers before the market's typical booking window. Estimate the annual revenue impact of each recommended change.

Rules: [PASTE]
Booking window data: [PASTE]

Example output

Rule '−15% at 21 days' — costing money. 62% of bookings arrive inside 18 days at full rate. Move trigger to 10 days. Estimated annual value: +$4,800.

How to run it well

  • Provide real booking-window data; without it the audit is generic advice.
  • Change one rule at a time so attribution stays possible.

How COOChief automates this

COOChief tracks booking-window shifts per market and flags rules that no longer match how your guests actually book.

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