Hipcamp approached us to help them with understanding and fixing problems associated with user tracking, data quality, and data completeness.
We put together a team to set up a recommender system algorithm, a solution for improving similar listing recommendations and real-time personalization in search ranking that increased booking conversion by 25% during peak periods. In addition, we built an experiment A/B test analysis framework and algorithms to help analyze user behavior and marketing ROI. By using different NLP techniques, we developed a framework that automatically flags all products with inconsistent data about accommodation type, price, location, etc. based on the user comments.
Hipcamp is an online marketplace that enables users to search for available campsites based on location, natural landscape, activities offered, and amenities, filter by the tent, RV camping, and lodging type, book, review, and upload photos of public campgrounds in State and National Parks. The company has a mission to get more people outside and to inspire the next generation who are passionate about exploring & protecting lands. Currently, Hipcamp covers 9,743 Parks, 18,882 Campgrounds and 370,049 Campsites across the USA.