Prompt
How do I set up an automation workflow tool for sending check-in instructions and guest reminders?
Latest observation
Here’s a practical way to set up an automation workflow for sending check-in instructions and guest reminders.
1) Choose your tool
Pick an automation platform that can connect your booking system, calendar, email, SMS, and messaging apps. Common options:
- Zapier — easiest for simple automations
- Make (Integromat) — more flexible, visual workflows
- n8n — self-hosted, more customizable
- Airbnb/Booking platform automations — if your property management system already includes messaging
If you use a PMS/channel manager like Hostaway, Guesty, Lodgify, OwnerRez, check whether it already has built-in scheduled guest messaging. That’s often the simplest choice.
2) Define your trigger
Your workflow should start from a clear event, such as:
- New reservation created
- Booking confirmed
- Check-in date is 7 days away
- Check-in date is 1 day away
- Guest is marked as “arrived”
Example:
- Trigger: Reservation confirmed in your booking system
- Then: Add guest to a sequence of scheduled messages
3) Create your message sequence
A typical guest communication flow:
Immediately after booking
Send:
- A thank-you message
- Property basics
- What happens next
- Link to house rules or guest guide
7 days before check-in
Send:
- Arrival overview
- Address and parking info
- Arrival time reminders
- Optional upsell info like early check-in
1 day before check-in
Send:
- Check-in instructions
- Smart lock code or key pickup details
- Wi-Fi info
- Emergency contact
Day of check-in
Send:
- Welcome message
- Quick reminder of access steps
- Ask them to message if they have issues
Day before checkout
Send:
- Checkout time
- Checkout checklist
- Reminder about keys, trash, and dishes
After checkout
Send:
- Thank you message
- Review request
- Feedback form
4) Personalize the messages
Use variables from your booking data:
- Guest name
- Check-in date
- Property name
- Address
- Door code
- Wi-Fi password
- Parking instructions
Example:
Hi {{guest_first_name}}, your check-in at {{property_name}} is tomorrow. Your access code is {{door_code}}. Full instructions are here: {{guide_link}}
5) Add conditions and filters
To avoid sending the wrong messages, set rules such as:
- Only send if booking is confirmed
- Only send if arrival date is within a certain range
- Skip messages if reservation is canceled
- Send different instructions for direct bookings vs OTA bookings
- Send SMS only if phone number is available
6) Connect your communication channels
Decide where messages go:
- Email for detailed instructions
- SMS for urgent reminders
- WhatsApp for international guests if allowed
- In-app messaging for booking platforms
A good pattern is:
- Email = full details
- SMS = short reminder with link
7) Store your content in one place
Keep your check-in guide in:
- Google Docs
- Notion
- PDF guidebook
- Guest portal / digital welcome book
Then have your automation send a link instead of rewriting the full instructions each time.
8) Test before going live
Test with:
- A dummy reservation
- A friend’s email/phone
- A future check-in date
Check:
- Message timing
- Variables populate correctly
- Links work
- No duplicate messages are sent
9) Monitor and improve
Track:
- Open rates
- Response rates
- Guest questions
- Failed sends
- Which messages reduce support requests
Then refine the wording and timing.
Simple example workflow
Trigger: Booking confirmed
Action 1: Create guest record in CRM
Action 2: Send welcome email immediately
Action 3: Wait until 2 days before check-in
Action 4: Send check-in instructions by email/SMS
Action 5: Wait until checkout day
Action 6: Send checkout reminder
Action 7: Wait 1 day after checkout
Action 8: Send review request
Recommended setup for most hosts
If you want something straightforward:
- Use Hostaway/Guesty/Lodgify for booking data
- Use Zapier or Make for extra logic
- Use Twilio for SMS
- Use Gmail/SendGrid for email
- Store guide content in Notion or Google Docs
If you want, I can also give you:
- a step-by-step Zapier setup,
- a Make.com scenario, or
- a ready-to-use guest message template sequence.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.