Eoghan McCabe: how Intercom 10x'd growth in 8 quarters by returning to basics and betting on AI

Summary

Intercom's SaaS growth rate increased 10x over the last eight quarters after Eoghan McCabe returned as CEO to a business that had logged five consecutive quarters of decelerating revenue. The turnaround had two phases: first, a return to basics — simplified pricing, self-serve purchasing, and a sharper customer-first posture — which reaccelerated the core SaaS business. Second, an early bet on AI following the release of GPT-3.5 opened what McCabe frames as an entirely new product category.

Finn, Intercom's AI customer agent, now handles customer success, service, sales, and marketing workflows previously done by humans. McCabe claims Finn wins every competitive bake-off against primary rivals and that Intercom leads the category on both customer count and ARR. He positions Intercom as a rare case of a legacy SaaS company successfully transitioning to AI leadership rather than being displaced by it.

What Actually Drove the Drift

McCabe is direct about the root cause of Intercom's mid-cycle stagnation: founder energy decay. By year 15 of running a SaaS business, the day-to-day novelty is gone, comfort embeds itself in the culture, and the people around the CEO mirror that diminished intensity back into the organization. He acknowledges that his own health issues forced him out during the downturn period, which coincided with what he describes as an overly comfortable cultural moment in 2020 and 2021.

AI, in his telling, was not just a product pivot but a personal reinvigoration. Without it, he says he would not have returned to or stayed in the role. That framing is significant: the product bet and the leadership renewal were functionally the same event.

Hiring Young and Tolerating Chaos

On organizational design, McCabe argues that mature companies systematically purge the chaos that made them dynamic in the first place, replacing it with process and cross-functional regularity. His counter is to deliberately structure roles where high-energy, less-experienced people — he cites a 30-year-old as a reference point — can execute autonomously without needing to manage across eight time zones or large organizational surfaces. He views talent as highly non-fungible: swapping one individual for another, even a capable one, can reshape an entire team's output in ways that are difficult to predict or reverse.

On Turnarounds: Skeptical by Default

McCabe is bearish on the conventional venture-backed turnaround thesis. VCs are pattern matchers optimized for zero-to-one narratives, not recovery arcs. PE firms are structurally better suited but carry their own incentive misalignments. Even importing a strong founder into a struggling company faces a practical ceiling: equity recaps needed to attract serious talent are rarely acceptable to existing investors, and founder-market fit is specific enough that transplanting capability rarely works. His own case, he argues, was not a replicable turnaround playbook but a convergence of low personal downside, right timing with GPT-3.5, and the unusual advantage of already knowing the company and its people intimately.

His return was framed internally and externally as a risk, but McCabe pushes back on that characterization. After being ill, publicly criticized, and directionless, he had little ego left to protect. He attributes most bad leadership decisions to fear of public failure, and credits reduced ego — not courage — as the actual mechanism behind the move.