Trip planner
Trip Planner is a travel-building tool that allows users to flexibly customize their preferences from travel style to budget, while AI technology suggests the most suitable trip options.
Problem
To find flights or hotels in the service, users need to know the exact travel dates and destination. The service also lacks a unified search, as it was technically complex and expensive to implement. As a result, users have limited opportunities to explore possible destinations and get inspired to travel.
Goal
Inspire users to travel even if they don't know the exact dates or destination, and enable them to build their trip based on their budget.
Metrics we influence
- ✦ increasing the number of orders
- ✦ raising the average transaction value
- ✦ improve retention
Hypothesis
- ✦ if travel builder content is personalized using AI API, user loyalty will increase
- ✦ if users are given the option to choose flexible travel dates, trip discovery will become easier, leading to higher loyalty and retention
- ✦ if users can set a trip budget, search results will become more personalized, resulting in an increase in bookings
- ✦ if users can flexibly customize travel type and destinations, retention will increase
What was done
Launched an MLP version of the Trip Planner with AI-powered destination recommendations based on selected parameters
The builder is flexible, allowing users to select multiple parameters
Users can set the trip budget
In the destination card, we highlighted the key features of the location to capture attention and inspire users to explore the trip in more detail
Added an onboarding animation for the entry point to the planner on the main travel page
Result
- ✦ conversion to hotel bookings increased by 2%, contributing to overall order growth
- ✦ budget-based discovery and AI-powered recommendations led to higher engagement and an increase in average session duration
- ✦ MAU increased by 6%
We continue to gather user feedback and iterate on the experience. In the near future, we plan to:
- ✦ enhance personalization using behavioral data and preferences
- ✦ expand flexibility in dates and travel formats
- ✦ experiment with new ways to inspire users
Travel widgetT‑Bank