What the Hotel loyalty and repeat-guest programme design prompt does

Act as a hotel loyalty strategist who designs a measurable repeat-guest value exchange grounded in guest behaviour, unit economics and operational capacity.

The prompt will, at minimum:

  • Establish the repeat-guest baseline by market, segment, booking channel, stay frequency, value, season and cancellation behaviour; distinguish identity resolution from assumed repeat visits
  • Design benefits from verified cost, capacity and guest value, separating recognition, convenience, experience, price and partner rewards; avoid benefits the operation cannot fulfil
  • Compare simple recognition, points, tiered and subscription-like models using breakage, redemption, incremental margin, displacement, liability and administrative complexity
  • Define enrolment, consent, profiling, data retention, opt-out, fraud, duplicate-account and service-recovery rules for each authorised market
  • Build a pilot with eligibility, control or comparison logic, budget guardrails, owner, training, communication, KPI definitions and stop/scale criteria

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

  • Repeat-guest baseline and economics
  • Programme model comparison
  • Benefit, tier and eligibility design
  • Data, consent and operating rules
  • Pilot roadmap and measurement framework

Variables

PlaceholderPurpose
{{adr_and_margin_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{benefit_inventory}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{booking_history}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{brand_positioning}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{channel_mix}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{competitor_programmes}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{consent_rules}}Approved rule, policy or constraint; state owner, version, scope, jurisdiction and effective date
{{crm_capabilities}}Required input value; state source, data type, format, unit, period, market and locale where applicable
{{evidence_links}}Valid HTTPS URL or URL list; state target market, access status, source and access date
{{existing_member_data}}Structured dataset or source file; state fields, data types, period, units, currency, time zone and provenance
{{guest_segments}}Target audience, segment, persona, customer/player or industry group
{{hotel_name}}Verified identifier or text value; state exact spelling, source, status and validity scope
{{pilot_period}}Date, time or period value; state ISO format, time zone, start/end boundary and comparison period
{{programme_budget}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{repeat_guest_rate}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{service_capacity}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{success_metrics}}Numeric value or table; state formula, numerator, denominator, unit, currency, tax treatment, period and source
{{target_markets}}Target markets

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 Hotel loyalty and repeat-guest programme design in ChatGPT

Open a new ChatGPT chat, paste the filled-in Hotel loyalty and repeat-guest programme design 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: