Case Study: Ramp builds a scalable, transparent commissions engine with CaptivateIQ

Ramp builds a scalable, transparent commissions engine with CaptivateIQ

Ramp used CaptivateIQ to replace a Google Sheets–based commissions process that had become too fragile for its fast-growing go-to-market team. As payees scaled into the hundreds and transaction data grew into the millions of rows, Ramp needed a more reliable way to manage credits, quotas, payouts, and plan changes without relying on spreadsheets, Slack, and manual email threads.

With CaptivateIQ, Ramp built a centralized commissions engine with structured dashboards, self-serve payee statements, in-app inquiries, and an admin-owned data model that could handle its scale. The solution improved transparency and control, reduced rep inquiries by 50%, and gave Ramp a scalable foundation for frequent compensation plan updates while restoring trust across its 500+ payee organization.

Ramp

Skyler L.

Sales Operations Associate