PRD: Airbnb Customer Loyalty Program

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SuperGuest MVP

MVP

MVP of SuperGuest Loyalty will include the following features:
Basic Tiers: Start with two simple tiers, where users are automatically enrolled and upgraded based on stay frequency.
Tier Advancement: Users progress to the next tier after completing 30 nights in the period of 2 years.
Early Check-in / Late Check-out: Basic flexibility in check-in and check-out times for frequent guests, where feasible.
Repeat Booking Discounts: Provide members with a discount, 10% on their next booking if it’s made within a 30 days after their previous stay. This incentive encourages more frequent bookings.
Referral Bonus: Users can earn rewards or travel credits for bringing new users to the platform, aligning with loyalty goals while helping acquisition.
Loyalty Dashboard: With simple in-app tracker showing a user’s current tier, total nights stayed so far and progress bar indicating how close users are to unlocking the next level. This creates motivation by showing pathway to higher rewards.
Testing Phases for MVP
Internal Testing: Simulate the loyalty program with Airbnb employees or a small internal group to get initial feedback.
Geographically Limited Beta: Soft-launch in one or two regions to refine based on real user data and local feedback. Use US as target market
A/B Testing with Select Segments: Implement with a subset of frequent travelers to compare retention and booking frequency between those who receive the MVP loyalty features and those who don’t.
Testing hypothesis:
Loyalty perks (e.g., discounts or exclusive access) increase the frequency of bookings among current frequent users.
Activity-based rewards lead to higher engagement and rebooking among lower-spending travelers.
Hosts see the program as a benefit that could increase bookings without compromising booking quality or control.
Key Metrics for MVP Evaluation
Following metrics will help us decide are we ready for further scalling and full user base rollout
Annual Rebook Rate: Track the retention rate of loyalty members versus non-members through re-book.
Booking Frequency Increase: Measure if members are booking more frequently than non-members.
Average Order Value (AOV): Monitor whether loyalty members have a higher average spend per booking.
Redemption rate: How many customers actually redeem their points or rewards. If members are sitting on their points, they are at risk of churning.
Host Satisfaction and Booking Increase: Track whether properties included in loyalty program bookings see a boost in overall bookings and host satisfaction.
NPS and customer satisfaction - Track the change in NPS of SuperGuest members vs non-members

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