An AI-native intelligence layer for B2B customer success teams. ZenSuccess monitors health signals across every account, surfaces at-risk customers weeks before the problem becomes visible, and hands your CSMs the intelligence to act, in place of more data to review.
Works across Product/SaaS · Consulting/Services · Plugs onto your existing CS stack
"We find out a customer is leaving in the QBR. By then we have two weeks to save it."
Health scoring surfaces risk 30–60 days earlier, with the next best action already queued for the CSM.
"Our renewal forecast is built on CSM opinion. Nobody can show the data behind it."
Renewal confidence built on a composite health score, usage signal and ROI evidence. Walk into the call with proof.
"Expansion happens when the customer asks. We are reactive, not proactive."
Expansion signals fire when timing is right. 6.2× lift on signal-led upsell and cross-sell plays.
Product/SaaS and Consulting/Services engagements have fundamentally different success drivers. ZenSuccess applies the right framework for each, automatically. Each layer is independently deployable.
Time-to-first-value, seat activation rate, integration health, power-user growth. For Services, stakeholder alignment, scope completeness and milestone tracking. Whichever model fits the account.
Composite health across Usage/Delivery, Relationship, Financial, Support and Market signals. Updated daily across the entire portfolio. The score reflects the truth, not the last QBR.
Champion departure (LinkedIn-detected), usage drop >25%, support escalation patterns, sponsor change at the client. Risk surfaced weeks before it becomes a renewal problem, with intervention plays attached.
90-day renewal runway. ROI documented and ready for the conversation. Composite health score updated daily. Expansion readiness signalled when the timing is right. No more opinion-based forecasting.
Expansion signals triggered by behavioural change: new use cases, seat growth indicators, advocacy formation, multi-thread depth across the account. Signal-led upsell instead of reactive.
Five sources flow in. The engine scores health daily, detects risk early and proposes the intervention. Four outputs land where your CS team already works.
One platform that pays back differently depending on where you sit in the customer success organisation.
You manage a portfolio through weekly CSM calls and spreadsheet health trackers. By the time risk surfaces, you have 2–3 weeks to act.
Portfolio health dashboard updated daily. At-risk accounts surfaced 30–60 days early. Renewal pipeline tracked with signal-based confidence scores.
Renewal comes up and you scramble for context. Was the account engaged this quarter? Did anyone flag the usage drop? You find out in the QBR what you should have known weeks ago.
Open the account, see the health score, risk flags, engagement timeline and the AI-proposed next best action. Walk into every QBR prepared.
Renewal forecast built on CSM opinion. Expansion pipeline relies on reps spotting opportunities. Churn is discovered at renewal.
Signal-based renewal confidence. Expansion pipeline built on detected signals. One dashboard for the CSM, the CS leader and the board.
Onboarding looks busy and engaged, then the account ghosts you at month two. You realise it was never really activated.
Time-to-first-value tracked per account. Seat activation, integration health and power-user growth visible from day one. Catch stalls in week two.
You walk into renewal without evidence. ROI is anecdotal. Risk is unclear. The customer holds the conversation.
Renewal brief auto-generated 90 days out. Composite health, ROI evidence, expansion readiness, all in one place. You walk in with the case made.
Sales closes, CS inherits. Context is lost. The first 30 days are spent re-discovering what the rep already knew.
Account intelligence flows straight from the sales cycle into CS. Promises made are visible. Champions are mapped. CSM starts at week zero.
Preventable churn detected 30–60 days before renewal when CS is measured continuously.
Signal-based 90-day renewal intelligence with health evidence and risk context always ready.
Expansion signals triggered at the right moment, in place of waiting for the customer to ask.
Less time on manual account research. CSMs act on AI-synthesised, contextual intelligence.
The workshop starts with your CS stack, your data quality and the accounts most likely to renew, churn or expand. We show what surfaces from data you already own.
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