How We Rebuilt Our Search Experience With Machine Learning

Transact’s revamped search experience feels more intuitive than ever, and customers are seeing 6% higher conversion rates.

At Atomic, we are relentlessly focused on improving our users’ search experience. After a recent UX improvement increased Atomic’s full funnel conversion by 14%, we identified an opportunity to improve our search algorithm with machine learning. Behind the scenes, our machine learning team crunched tens of thousands of logs of user search data to improve the relevance of search results, which we measure by how easy it is for users to find their company or payroll provider using our app. To explain how machine learning can improve search, we interviewed Dallan Quass, Atomic’s Principal Data Scientist, to learn more about how he thinks about search after years of experience with state-of-the-art algorithms.