What do you want to achieve today?

Aggregates usage data, support ticket patterns, NPS responses, engagement frequency, and payment behavior into a single health score per account — live, not quarterly

Identifies accounts at risk of non-renewal using behavioral signals, support patterns, product usage trends, and engagement decay — weeks or months before the renewal date

From 90-day pre-renewal trigger through health check, stakeholder outreach, proposal generation, negotiation tracking, and close — with HITL at negotiation gates

Monitors each account's news, leadership changes, funding events, and competitive activity — surfacing context before your QBR, not during it

Feature usage by account, user activation rates, time-to-value metrics, and adoption compared to best-in-class benchmarks — identifying where customers are leaving value on the table

Predicts which accounts are ready for upsell or cross-sell based on usage maturity, growth signals, and historical expansion patterns in similar accounts

When a customer escalates: automatic priority routing, executive notification, cross-functional team assembly, status tracking, and post-mortem documentation

Aggregate and analyze NPS comments, support transcripts, and QBR notes using natural language analysis — extracting themes, sentiment shifts, and actionable patterns

Auto-compiles account performance data, usage trends, support history, and strategic context into a presentation-ready QBR package — before you start preparing manually

Your proven interventions (adoption plays, risk mitigation, executive sponsor engagement) codified as workflows that trigger automatically based on health score changes

Expansion, contraction, and churn visualized by cohort, segment, CSM, and product line — the metrics that tell you whether CS is driving growth or just preventing loss

When a customer mentions evaluating alternatives: instant competitive intelligence on the specific competitor, their weaknesses, and your differentiation — delivered to the CSM in hours

Forecasts how long onboarding will take for each new customer based on their size, complexity, and similarity to historical accounts — so you set expectations accurately