Case Study: MoneyFarm improves feature experimentation and release management with Split

MoneyFarm saves hours and drives business metrics with Split

Moneyfarm, a European digital wealth manager, faced limitations with its homegrown feature flagging solution, which restricted them to simply turning features on and off and lacked capabilities for targeted rollouts and gradual deployments. To overcome this and foster innovation, they turned to Split's feature management and experimentation platform.

By implementing Split, Moneyfarm gained the ability to control incremental rollouts, run A/B and multivariate tests, and connect feature performance directly to business metrics. The solution integrated with their existing tools like Jira and GitLab, saving teams significant time. This allowed Moneyfarm to confidently measure which features drove customer value, leading to informed decision-making, faster time to market, and substantial time and cost savings.

MoneyFarm