Case Study: LaunchDarkly increases marketing-generated pipeline by 70% with CloseFactor

LaunchDarkly increases marketing-generated pipeline by 70% with CloseFactor

LaunchDarkly, a feature management platform for software development teams, faced the challenge of optimizing its marketing spend to effectively target its vast total addressable market. With a huge number of potential customers, they needed a sophisticated way to prioritize accounts with the highest buying propensity and bring the right marketing-qualified leads to their sales team. They chose to work with CloseFactor to solve this challenge.

CloseFactor implemented a solution using data science and machine learning to score and categorize over 100,000 accounts based on characteristics unique to LaunchDarkly's ideal customer profile. This allowed LaunchDarkly to optimize its marketing efforts, resulting in a 70% quarter-over-quarter increase in marketing-generated pipeline. One campaign using CloseFactor's high-propensity personas generated a $600,000 qualified pipeline in just a few weeks.

LaunchDarkly