See churnchurnsavesriskNRR before it happens.

Exeechain is AI-powered customer success software for SaaS companies. It predicts customer churn 30 days before customers decide to leave, automates QBRs, runs retention playbooks, generates competitor battle cards, and gives every customer a daily health score with the specific 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, is live in fifteen minutes, and ships every feature out of the box — AI churn scoring, retention playbooks, QBR automation, an AI Copilot, competitor battle cards, expansion detection, champion tracking, and a revenue forecast. 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. Most customers spend under fifteen minutes a day actively using Exeechain.

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 lifts accuracy 20–30%, and you can connect those any time — scores improve automatically.

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. SOC 2 Type II audit is in progress, with a Type I report available on request for enterprise customers. 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. Most teams use Exeechain with a CS headcount one-third the size of a Gainsight customer's.

Yes. Stripe connects automatically. CSV import covers most migrations. We have direct export guides for Gainsight and ChurnZero. Most teams are migrated within 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 $24K/year. The build-versus-buy math stops being interesting around customer #50.