Product marketing teams are expected to arm sales with proof that closes deals and help the organization understand why you’re winning and losing. But in many companies, customer voice is fragmented: a handful of old case studies, scattered win/loss notes, and ad hoc requests that turn PMMs into bottlenecks instead of strategic partners. In this session, I’ll share how our two-person PMM team built a scalable customer voice engine. We automated intake, tagged insights, and turned our case studies and win/loss data into self-serve intel for the entire team. This is a tactical session for reducing PMM lift while increasing the organization’s access to real buyer insight. Key Takeaways - How to turn scattered customer proof into a structured, scalable system - Practical ideas for converting signals (NPS, product lines purchased, closed-won/lost) into automated activation - A simple tagging model that connects customer voice to customer profiles, product lines, and decision drivers - How to make customer intelligence self-serve across sales and leadership