Predictive goal: repeat booking within 90 days of first trip

Create a predictive goal for the likelihood that a traveler makes a second booking within 90 days of completing their first trip. Train on 12 months of traveler data. Show the top 5 behavioral signals that predict repeat booking (e.g., loyalty enrollment at first booking, app opens in the week after the trip, wishlist items saved, notification opt-in status, trip type). Per the benchmarks report, top travel products retain 25% of users at 3 months vs. 10% for median — use this goal to identify which new bookers are on track for the top-performer retention curve.

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