Case Study: ZipRecruiter achieves faster, data-driven product decisions and reduced reliance on its data science team with Mixpanel

ZipRecruiter - Customer Case Study

ZipRecruiter, a two-sided online employment marketplace known for its AI-driven matching and the top‑ranked iOS job app, needed to reduce job‑seeker friction (long applications and the “resume black hole”), maintain a healthy balance between employers and job seekers, and measure mobile product performance without overloading its data science team. The team also needed to understand surprising user behaviors—like frequent blank searches—to better serve underserved user groups and preserve market position.

ZipRecruiter implemented Mixpanel for A/B testing, dashboards, and ad‑hoc analysis so product managers could run experiments and get insights without waiting on analytics. The approach enabled faster iteration and features like application tracking and employer‑view notifications, helped maintain a 4.9 app rating, improved conversion and engagement metrics, and uncovered new directions (e.g., skills‑based matching and alternative search pathways) to better meet job seekers’ needs.

ZipRecruiter

Akio Bandle

Senior Product Manager