Clearbit is a venture-backed B2B software company that helps users optimize all customer interactions using data. Founded in 2015, Clearbit now serves over 1,500 businesses, including Asana, Okta, Notion and Segment.
As part of their growth strategy, Clearbit recognized the need for a stronger customer retention program. Clearbit’s Revenue and Customer Success leaders worked with Stratus Data to develop a system that predicts customer churn, allowing Clearbit to prevent $260,000+ of potential churn-related losses.
15 Customer Success Managers take on 600 enterprise customers
After closing a $15M round of funding, Clearbit planned to capitalize on its six-year record of success with an accelerated growth strategy. A key focus was a stronger customer retention program.
Customer Success Managers faced the challenge of tracking, organizing, and making sense of data from 1,500+ businesses and 400,000+ users to inform a CRM strategy. Vice President of Customer Success Luke Diaz hired Stratus Data to design and implement a refined churn prediction process. With over 600 upcoming customer renewals, Clearbit needed a system to identify the customers who were at risk of leaving.
“It became apparent that churn was negatively impacting our critical successful factors. I knew we needed to unpack and rebuild the way we looked at data, but we didn’t have data science resources in-house. Stratus Data had a proven record of success in developing machine-intelligence models. They just seemed to get us right away.” –Luke Diaz, Vice President of Customer Success