Top perspectives

  • Guy MarionBuilt AI‑driven retention SaaS that catches hidden churn before customers leave
    Chief Marketing & Growth Officer at ChargebeeSold Brightback to ChargebeeScaled Autopilot to 3,000+ paying customers

    The data didn't warn you because most companies treat cancellation as a data dead zone, not a listening post. I built Brightback around the opposite idea: the moment someone clicks cancel is the only time you get honest, structured feedback at scale, and 15 to 30 percent of those people leave for reasons you can still fix.

  • Jason NobleCo-hosts SaaS podcast, 117 episodes
    Top 100 CS Strategist, 2021Global VP Customer Success at Vinli

    Happy customers churn all the time. The data didn't warn you because usage and sentiment aren't value: the real signal is whether the customer could prove they'd be worse off without you.

  • DanielFlagged silent customers as churn risk
    Growth at MindvalleyDrove $10M annual revenue via product‑led growthScaled teams from 50 to 2,000 employees

    I learned this the hard way: a customer can still log in, pay on time, and rate you a 9 on NPS while they are already gone. The real signal is not satisfaction, it is behavioral decay, login frequency dropping, core features going quiet, teammates stopping invites. By the time they say they are not renewing, your dashboard is just reading the obituary.

  • Philippe MesritzBuilt a health‑score model that forecasted churn with 98% accuracy
    Executive via The Access Group at QikServeBoosted net retention to 121.5%Led 200‑person services team at Khoros

    I built a health score at Khoros that forecasted three-month risk at 98% accuracy, and it still missed the human stuff: a quiet sponsor, a shifted budget, a new CFO who never logged in. Data tells you where to ask, not when to stop asking.

  • Amanda NorthcuttBuilt churn prediction and intervention software for subscription companies
    Founder & CEO | Keynote Speaker of LevelUpFounded LevelUp, coaching solo consultantsCo‑created MemberScore Podcast on retention

    The data didn't warn you because satisfaction data is usually a lagging indicator dressed up as a leading one. I learned that the hard way when I lost 60% of my monthly revenue in two weeks after a client relationship turned toxic, and I had been so busy delivering that I missed the signals entirely.

  • Harry DhebarCustomer Success Leader
    Head of Customer Success at KodyCS Leader - Customer Success EMEA at Cisco

    I’ve had a green across the board health score turn into a churn call, and the gap was nearly always between what the dashboard measured and what the sponsor actually cared about.

  • Anne Miner, MBAFounder of Women with GRIT
    Led Dunvegan Group since 1987President & CEO of Dunvegan Group Ltd. (The)

    We tracked this for decades: one in five customers who rate satisfaction 9 or 10 still do not renew. The score was honest, but it was never measuring what you needed it to measure.

  • Alex FarmerGeneral Manager, EMEA at Mindtrip, Inc.
    Chief Commercial Officer at NezasaChief Customer Officer at Nezasa

    I spent years chasing green health scores while red accounts quietly rotted; the renewal call is where the truth lives, not the dashboard.

  • Chrisy WollVP of Customer Success at Ninety
    Chief Customer Officer at DevoVP of Customer Success at Whistic

    The data that flags churn is usually relationship data, not product data: someone stopped returning calls, skipped a business review, or went quiet after a leadership change. I would call them today, ask what changed, and rebuild the health score around the signals we missed.