Briefing

Intercom Builds Consultative Support to Drive Growth with Fin

sales
by Franka Martinovic ·

Document the consultative support framework and share with other teams.

What to do now

Document the consultative support framework and share with other teams.

Summary

Intercom’s Fin AI freed up support capacity, allowing the team to shift from reactive ticket handling to proactive consultative engagement. A town hall sparked ideas such as an in‑product banner offering a call and a “Fin upsell campaign” that triggers after a positive interaction, and a volunteer group was formed to pilot these initiatives with self‑serve customers.

The pilot was measured against a control group, tracking feature adoption, Fin usage, and expansion revenue. Engaged accounts grew roughly twice as fast in usage and expansion, and the team saw improved resolution and automation rates. The success attracted other departments—self‑serve engineering, lifecycle marketing, and product—leading to partnerships and an expansion to 16 volunteers, including taking over the new “sales assist” team.

Key lessons include starting with the team, proving before scaling, training for curiosity and commercial awareness, measuring against a control group, and embracing a different approach. The consultative support model now drives adoption, retention, expansion revenue, and serves as the primary touchpoint for self‑serve customers.

Key changes

  • Shifted from reactive to proactive consultative support
  • Implemented Fin upsell campaign triggered by positive interaction
  • Formed a volunteer group to pilot proactive engagement
  • Measured impact with a control group, showing 2x growth in usage and expansion
  • Partnered with self‑serve engineering, lifecycle marketing, and product
  • Expanded to 16 volunteers and took over the sales assist team
  • Emphasized training for curiosity, commercial awareness, and broader context
  • Key lessons: start with team, prove before scaling, measure against control, be different

Affects

internal

Customer impact

Analyzing matches…

Ask about this story

Impact on an agency? Which customers? Compare historically Risks of waiting