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    Quitlo

    Quitlo

    Churn Intelligence for B2B SaaS. Never lose a customer you could have saved.

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    About this product

    Quitlo is an AI-powered churn intelligence platform for B2B SaaS that recovers failed payments and captures churn reasons via AI voice calls within 5 minutes.

    What is Quitlo?

    Quitlo automates payment recovery by detecting failed Stripe payments via read-only OAuth, then placing an AI voice call within 5 minutes to the customer. The AI discloses itself, sends a secure payment link, and if the customer is leaving, it captures the churn reason, competitor mentions, and win-back signal. Results are delivered as structured Slack messages with churn risk flags. The platform also triggers adaptive AI conversations across cancel flows, NPS/CSAT surveys, onboarding check-ins, and win-back campaigns. Built by engineers from Google, Adobe, Microsoft, and Dropbox.

    Key Features

    • AI dunning calls — Places a live AI voice call within 4 minutes of a failed payment; the customer hears “Hey, I'm reaching out because it looks like your last payment didn't go through…” and can reply in real time.
    • Instant Slack alerts — Posts a structured recovery report to a chosen Slack channel (#revenue-recovery) with churn reason, competitor, win-back signal, and action taken.
    • Churn risk flags — Distinguishes silent churn (customer already migrated) from billing issues; tags customers as “Stay” or “Go” based on conversation sentiment.
    • Performance pricing — $0 upfront; you pay 15% of recovered MRR (recurring revenue). If nothing is recovered, you pay nothing.
    • Rapid response — Failed payment to call in ~4 minutes (faster than the average dunning email sequence starts).
    • Proven recovery rate — 58% of customers update their card after the recovery call; $0.40 per AI call vs $7–$12 for human callers.
    • Integrations — Connects to Stripe, Slack, Jira, Linear, HubSpot, Salesforce, and Intercom. Zapier available for workflow triggers.
    • Free Retention Deck tool — Analyzes your Stripe data in 15 seconds to calculate “Saveable MRR” (no credit card required).

    Who is it for?

    • B2B SaaS founders and CEOs — Automate recovery of 20–40% of churn that is involuntary (failed payments, not unhappy customers).
    • Revenue operations teams — Monitor recovery performance and churn reasons in Slack without manual CRM updates.
    • Customer success managers — Receive structured churn reasons (e.g., “Zapier connector broke, caused data loss”) and win-back signals to prioritize outreach.
    • Finance teams — Reduce involuntary churn without hiring call center staff; pay only on recovered revenue.

    What can you do with Quitlo?

    • Recover failed payments automatically — Connect Stripe and Slack; AI calls within 5 minutes, sends a secure payment link, and updates the customer’s card.
    • Capture churn reasons from customers — When a customer’s card is permanently cancelled, the AI asks why and returns a structured summary (churn reason, competitor, win-back signal) to Slack or Jira.
    • Tag win-back opportunities — If the customer says they’d switch back (e.g., “If integrations just worked, I’d probably switch back”), Quitlo tags them for a win-back campaign and notifies the product team.

    How does Quitlo work?

    Setup takes 5 minutes: (1) Connect Stripe via OAuth (read-only access to failed payment events and customer contact info; no card numbers or bank details). (2) Choose a Slack channel for recovery alerts. (3) Go live. AI monitors failed payments every 5 minutes, places a call, and posts results to Slack. No configuration or scripts required.

    Pricing

    Performance-based: $0 upfront. Pay 15% of recovered MRR (monthly recurring revenue) only when revenue is recovered. No tier names disclosed. A free tool (Retention Deck) is available for Stripe analysis.

    FAQ

    Do customers actually pick up?

    Yes. These are not cold calls — the customer’s payment just failed and they don’t know it yet. Most people who pick up are grateful someone caught it before they lost access.

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    01_LAUNCH INSIGHTS

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    Pricing
    Free
    Launch date
    Mar 28, 2026
    Status
    Published
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