Exeechain
AI customer success platform that predicts churn and acts on
Exeechain is an AI customer success platform for B2B SaaS teams. It predicts customer churn before renewal, explains the top risk drivers per account in plain English, drafts and sends retention outreach under human approval, automates QBRs in about 30 seconds, and proves recovered revenue in a verified ledger a CFO can audit.
How it works
1. Connect your data: Stripe plus a tracking snippet is enough to start; HubSpot, Salesforce, Intercom, Zendesk, Mixpanel, and Slack connect natively, with CSV import and a REST API for everything else. First health scores appear the same day.
2. Detect: every customer gets a 0-100 churn risk score, refreshed daily and weighted by revenue, so a $30K account and a $300 account never create the same urgency. The model refuses to score accounts without enough real data rather than inventing a number.
3. Explain: each score shows its top 3 drivers in plain English, for example "login frequency down 62%, NPS dropped 9 to 6, champion changed roles."
4. Act: the retention agent drafts the save email, escalation, or win-back outreach from the account's live context and sends it under your approval. It reacts to a failed payment, champion departure, or cancel intent in seconds, and it never sends silently: autonomy is earned per action type and per account tier.
5. Prove: recovered revenue lands in a verified ledger that only counts renewals and recoveries it can trace, with an optional holdout mode that measures causal lift instead of asserting it.
Compared to the established platforms
Compared to Gainsight, Exeechain covers the same core CS work from $299/mo with no implementation fee, versus roughly $2,500+/mo plus $15K-$50K professional services and a 4-6 month rollout.
Compared to ChurnZero, Exeechain is AI-native rather than rules-based: no Plays, segments, or ChurnScore formulas to author and maintain.
Compared to Vitally, Exeechain decides and drafts the next action instead of presenting data for a CSM to interpret.
Compared to Planhat, Exeechain works on day one with opinionated AI defaults, no custom data model or data engineer required.
Compared to Totango, Exeechain acts on risk under approval instead of tracking it and handing a CSM a to-do.
Pricing
Plans are month-to-month, cancellable at any time, with no per-seat charges and no implementation fees: Revenue Shield $299/mo (150 customers), Revenue Multiplier $999/mo (500 customers), CS Command $1,999/mo (2,000 customers), and Total Command for enterprise from $5,900/mo. There is no free plan; before payment, you get a read-only diagnosis of your data, and paid plans unlock actions.
Who it fits
Exeechain is built for B2B SaaS teams with roughly 50 to 5,000 customers: a first CS hire, a founder running retention themselves, or a lean CS team under NRR pressure. It is deliberately not for Fortune 500 CS Ops organizations that need deep configurability, custom objects, or multi-business-unit program orchestration; those teams are better served by Gainsight or Planhat.
Try the live demo with no account, or run the free 60-second revenue leak scan at exeechain.com.
Features
- AI churn and health scoring: every customer scored 0-100 with the top 3 risk drivers explained in plain English. The model refuses to score an account it lacks real data on rather than inventing a number. Weekly scoring on the entry plan, daily on Grow, real-time on Scale.
- Retention agent (Grow and up): drafts save emails, payment-failure outreach, and escalations from the account's live context and sends them under your approval. Autonomy is earned per action type through clean approvals; your highest-revenue accounts stay human-approved permanently, and outbound never fires silently.
- Real-time risk triggers: the agent reacts in seconds to a failed payment, champion departure, cancel intent, or NPS detractor.
- Verified revenue ledger: recovered and retained revenue only counts when the outcome is verified (an observed renewal or reactivation), never asserted. Optional holdout mode measures true causal lift against untouched accounts.
- Churned-customer win-back (Scale and up): eligibility scoring, AI-generated reactivation outreach, and recovered MRR tracked as its own verified number.
- AI Copilot on every plan: grounded Q&A over your customer data that cites its sources and says "I don't have enough data" instead of guessing. Compares multiple accounts side by side and writes a weekly briefing.
- AI-written QBRs (Grow and up): a full business-review deck (executive summary, health, value delivered, wins, challenges, renewal ask) generated from live account data in about 30 seconds.
- Retention playbooks: prebuilt saves for high-risk accounts, payment failures, and inactive customers, with AI prescribing which play fits each account.
- Directional revenue forecast (Grow and up): 3-month MRR projection in best, expected, and worst cases, weighted by every account's current churn risk.
- Integrations: Stripe, HubSpot, Salesforce, Intercom, Zendesk, Mixpanel, and Slack, plus CSV import, a REST API, inbound and outbound webhooks, and a usage-tracking snippet.
- Also included: approval inbox, champion departure tracking, NPS surveys, customer portals, revenue-leak detection, daily digest email, and executive reports.
- From $299/mo month-to-month, no implementation fees, no per-seat pricing, unlimited users.
Use Cases
- A first CS hire at a Series A SaaS who needs churn prediction and customer health scores working this week, without a 6-month Gainsight rollout, a $15K-$50K implementation fee, or a dedicated admin to maintain it.
- A founder running retention themselves who wants one morning surface: which accounts are at risk, why, what to do about it, and a drafted email ready to approve, instead of interpreting dashboards.
- A lean CS team whose at-risk queue grows faster than they can work it: the retention agent (Grow plan and up) drafts the save outreach for every flagged account and sends it under your approval, so the backlog gets worked without new headcount.
- A CS leader who cannot defend a self-reported "revenue saved" number to a skeptical CFO: the verified ledger only counts observed renewals and reactivations, and the optional holdout mode measures causal lift instead of asserting it.
- ChurnZero team tired of authoring and maintaining Plays, segments, and ChurnScore formulas by hand: Exeechain's model scores accounts itself, explains the top 3 drivers, and the agent drafts the outreach.
- A Planhat or Gainsight evaluation that stalled because nobody has the data engineer, RevOps lead, or six-figure services budget to finish the custom data model: Exeechain works from Stripe plus a tracking snippet on day one.
- Catching silent churn before renewal week: real-time triggers react in seconds to a failed payment, a champion leaving the company, cancel intent in a support thread, or an NPS detractor.
- Winning back customers who already churned (Scale plan and up): eligibility scoring, AI-generated reactivation outreach, and recovered MRR tracked as its own verified number.
- Preparing a QBR in 30 seconds instead of an afternoon: an AI-written business review deck built from the account's live data, with the renewal ask included.
- Finding out what churn is actually costing you before buying anything: the free 60-second revenue leak scan at exeechain.com/leak-scan shows the leak with no account required.
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