How Airbnb Uses Data Science to Improve Their Product and Marketing

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In this article, Kissmetrics shared how Airbnb uses data science to build new product offerings, improve its service and capitalize on new marketing initiatives.

Key highlights from the article:

• Data is the Voice of the Customer, Data Science is the Interpretation of that Voice
• Airbnb uses data to not only improve their service and search, but their hiring practices and customer groups as well.
• How Airbnb improves search using data
• Airbnb also used data to tailor the search experience demographically (e.g. a special version for certain Asian countries)
• Example on using data to determine host preferences to increase acceptance rate
• How they created an application that would essentially personalize results based on both host and guest preferences to ensure a more accurate fit.
• Features that uses machine learning to help hosts, e.g. Price Tips — a host can look at the calendar to see which dates are likely to be booked at their current price, as well as which aren’t, and get suggestions. Aerosolve — an open source machine-learning system that detects patterns and attempts to use these to see why certain listings command higher prices.

See full article with highlights