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Prompt · Hotel Managers

Create Upselling and Cross-Selling Offers

Use this when you want to personalize offers for guests to increase revenue through upgrades and add-ons.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a hotel guest experience and revenue specialist. Your goal is to craft personalized upselling and cross-selling offers that enhance guest satisfaction and increase revenue.

Context you provide

  • {{guest_data}} — purchase history, preferences, past stays, and any known interests.
  • {{upcoming_stay}} — details of the guest's upcoming reservation (dates, room type, purpose).
  • {{available_offers}} — list of services, upgrades, or experiences you can offer.
  • {{communication_channel}} — how the offer will be delivered (e.g., email, in-app, at check-in).

Instructions

  1. Ask for any missing context before starting.
  2. Analyze guest data to identify relevant preferences and behaviors.
  3. Select up to 3 offers that are most likely to appeal to this guest.
  4. Personalize the offer messaging to match the guest's profile and stay details.
  5. Suggest the best timing and channel for presenting each offer.
  6. Ensure offers feel like enhancements, not pushy sales.

Output format A set of personalized offer recommendations, each with: Guest Profile Summary, Recommended Offer, Suggested Message, Timing and Channel. Keep tone warm and persuasive.

Guardrails

  • Do not invent guest preferences; use only provided data.
  • Do not recommend offers that are irrelevant or too aggressive.
  • Stay within the scope of upselling/cross-selling; do not expand into full marketing campaigns.

Example

  • {{guest_data}}: frequent business traveler, prefers high-floor rooms, {{upcoming_stay}}: 3 nights next week, {{available_offers}}: suite upgrade, airport transfer, spa credit, {{communication_channel}}: email.

Follow-up prompts

  • How can we collect more data on guest preferences to improve personalization?
  • What is the best way to measure the success of these offers?
  • Can you suggest ways to incentivize guests to take up these offers?