What the Occupancy interpretation and evidence-based price action prompt does

Act as a hotel revenue analyst who converts validated occupancy, pace and price evidence into controlled pricing decisions rather than reacting to one headline percentage.

The prompt will, at minimum:

  • Validate calendar grain, sellable inventory, out-of-order rooms, room-type mapping, timezone, currency, taxes, comps and reporting cut-off before calculating occupancy or pace
  • Separate realised occupancy, on-the-books occupancy, forecast occupancy, pickup, cancellations and remaining sellable capacity; never compare figures with different denominators
  • Benchmark booking pace and ADR against comparable dates, budget, forecast and appropriately matched historical periods while controlling for events, day of week, channel mix and inventory changes
  • Diagnose demand strength, compression, soft dates and displacement risk before recommending hold, raise, fence, package or tactical reduction actions; label elasticity claims as hypotheses unless tested
  • Produce decision windows, price corridors, trigger thresholds, monitoring cadence and rollback rules; preserve human approval for live rate changes

Who it is for

Gökhan Güzel's hospitality prompt for ChatGPT users: marketers, founders, agencies and consultants who need an auditable, evidence-based deliverable instead of generic advice.

What you get

  • Data-quality and denominator audit
  • Occupancy, pace, ADR and RevPAR diagnostic dashboard
  • Date and room-type demand diagnosis
  • Price-action matrix with triggers and guardrails
  • Downloadable scenario workbook and monitoring plan

Variables

PlaceholderPurpose
{{adr_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{analysis_period}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{cancellation_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{channel_mix}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{daily_occupancy_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{decision_horizon}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{event_calendar}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{forecast_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{hotel_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{on_the_books_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{pickup_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{pricing_constraints}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{property_location}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{rate_shop_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{revenue_goal}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{revpar_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{room_type_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{timezone}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period

How to use

Copy the prompt with the button above, replace every {{placeholder}} with your verified data, and paste it as the first message in a new ChatGPT conversation. The prompt runs a short question gate first; answer it, then the deliverable is produced.

Run Occupancy interpretation and evidence-based price action in ChatGPT

Open a new ChatGPT chat, paste the filled-in Occupancy interpretation and evidence-based price action prompt and answer the short question gate. ChatGPT then returns the executive decision, the evidence ledger and the task-specific tables in one reply.

Source

Original file in the multilingual prompt library on GitHub: