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Case Study: Rocket Money unlocks ~$1M annual ROI with Intercom's Fin

Rocket Money Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Rocket Money
Industry
Financial Services
Challenge
Rethinking support at scale
Headline result
~$1M annual ROI and a 68% Fin resolution rate

Key results

~$1M
Annual ROI from Fin
68%
Fin resolution rate
54%
Fin involvement rate
+6 pts
Human CSAT increase

The challenge

Rocket Money, a personal finance app serving millions of users, was handling over 60,000 support conversations a month through button-based workflows that placed the burden of precision on customers. Misrouted conversations landed in an unassigned inbox, and at peak one teammate spent two to three hours a day manually rerouting them.

The solution

Rocket Money introduced Intercom's Fin AI Agent alongside the Intercom Suite, starting with 10% of conversations and expanding to scoped workflows such as billing management, app troubleshooting, and account access, with routing rules ensuring sensitive issues escalated to humans.

This is what a modern support team looks like. It's not about removing humans. It's about redesigning the work so humans are focused where they add the most value.

MM
Michelle McGowan
Director of Operations, Rocket Money

The results, in context

Rocket Money reported roughly $1M in annual efficiency gains, with Fin involved in 54% of conversations and resolving 68% of them across more than 60,000 monthly conversations. Human CSAT rose by six points, and email-based billing management consistently delivered 80%+ CSAT.

Products used

Intercom Fin Customer AgentIntercom Intercom Suite