See churnchurnsavesriskNRR before it happens.

No. Create a free account, connect Stripe with a read-only key, and Exeechain runs a full diagnosis on your real billing data: failed payments, renewals about to lapse, and expansion you're missing, with actual account names and dollar amounts. Seeing your true number is free. Paying (from $299/mo) unlocks acting on it: the drafted save emails, the recovery playbooks, and the agent. Nothing is ever written to Stripe and nothing is sent to your customers during the diagnosis.

Exeechain is AI-powered customer success software for SaaS companies. It predicts customer churn up to 30 days early, then acts on it: it drafts the save email for your team to approve and send, reacts to churn signals like failed payments in real time, and even wins back customers who already left. It also automates QBRs, runs retention playbooks, and gives every customer a daily health score with the three reasons behind it. It's built to replace heavyweight platforms like Gainsight and ChurnZero for teams that don't have six months and $30K to spend on implementation.

Gainsight starts at $2,500/mo and typically takes six to twelve months to implement, with consultants. Exeechain starts at $299/mo and is live in fifteen minutes, with no implementation project: AI churn scoring, retention playbooks, revenue-leak recovery, an AI Copilot, and Slack alerts from day one on the entry plan. The full revenue suite (QBR automation, expansion detection, champion tracking, revenue forecast, and the autonomous retention agent) is on Revenue Multiplier from $999/mo. Same outcomes, roughly 80% lower total cost.

ChurnZero and Vitally are good tools, but they're rules-based. You write the playbooks; you write the segments; you write the email templates. Exeechain is AI-native: it reads support emails, scores risk reasons, drafts the save email, and writes the QBR for you. You review and click send. The whole product is built around a daily workflow of under fifteen minutes.

Exeechain pulls signals from billing (Stripe), product usage (a tracking snippet), support conversations (Intercom or Zendesk), and CRM (HubSpot or Salesforce). The model scores each customer 0–100 daily, weighing login frequency drops, NPS shifts, support tone changes, champion role changes, competitor mentions, billing failures, and renewal proximity. Every score includes the top three drivers, so the score is decision-ready, not a black box.

A customer health score is a single number (typically 0–100) that summarizes a customer's likelihood to renew, expand, or churn. The point isn't the number. It's the explanation. A score of 78 with no context tells you nothing. A score of 78 with 'login down 62%, NPS dropped 9 → 6, champion changed roles' tells you exactly what to do this morning.

Fifteen minutes from signup to first scores. The minimum data needed is Stripe (for MRR and customer list) and a tracking snippet (for product usage). Adding support and CRM data gives the model more signals to read, and you can connect those any time, and scores improve automatically.

Workflows are multi-step customer journeys that start from a real signal (a failed payment, a new customer, a renewal inside 90 days, churn risk crossing a threshold) and then run a sequence of emails, tasks, waits, and branches. Three things make them different: every customer-facing send waits for your approval, journeys end themselves the moment their goal is met (payment recovered, risk back down) so nobody keeps getting dripped after they've converted, and every step reports its funnel, entered, through, dropped, straight from the run log. You can A/B test paths, dry-run any workflow on a real customer before enabling it, and autonomous sends respect quiet hours so no customer hears from you at 3am.

Exeechain pulls every quantitative signal (MRR history, feature adoption, support volume, NPS trend, goal progress, renewal timing) and uses AI to write the narrative: executive summary, key wins, challenges, next-quarter plan, renewal case. Eight industry templates. Thirty seconds versus eight hours per QBR.

Yes. Encryption at rest and in transit, with tenant isolation enforced at the database layer (Postgres row-level security) and role-based access controls. Customer data is never used to train models. Full data export and deletion are available from Settings → Privacy. HIPAA is not currently supported; do not upload PHI.

No. Exeechain is designed so a single CS manager, or a founder running CS themselves, can cover hundreds of customers. The daily digest tells you what to do; the playbooks run automatically; the Copilot answers questions you'd otherwise ask an analyst. It's designed to do the work Gainsight customers hire admins and analysts for, so a much smaller team can cover the same book of business.

Yes. Stripe connects automatically. CSV import covers most migrations. We have direct export guides for Gainsight and ChurnZero, and the whole path is designed to fit inside a day.

A junior data scientist plus an engineer to maintain a churn model is roughly $300K/year fully loaded. Exeechain's top non-enterprise plan is $33.1K/year paid annually. The build-versus-buy math stops being interesting around customer #50.