Case Study: Credit Karma achieves real-time detection of actionable business incidents and eliminates multi-day delays with Anodot

Credit Karma Adopts the Anodot Real-Time Business Incident Detection Dogma

Credit Karma, which serves over 50 million members by simplifying credit, loans and insurance decisions, was struggling to detect important business incidents quickly. With hundreds of thousands of business and technical metrics to monitor, the company experienced 24‑hour to multi‑day delays in spotting issues — in one case a page’s revenue fell 50% over three days before the problem was discovered — making timely root‑cause analysis and revenue protection difficult.

After testing several options and a six‑month proof of concept, Credit Karma adopted Anodot for real‑time incident detection because it automatically sets thresholds, is easy to onboard, and freed up data science resources. Anodot now surfaces several actionable incidents each day (for example, a spike in “forgot password” requests caused by external testing and an affiliate offer misconfiguration), is used by Revenue, Technical and Marketing teams, and has eliminated the multi‑day detection delays that previously harmed revenue and customer experience.

Credit Karma

Pedro Silva

Senior Product Manager