Usage data here, tickets there, CSM in a spreadsheet
The risk signal exists, but it is spread across three tools. By the time someone joins the dots, the account has asked to cancel.
Usage data, tickets and the account book on one timeline. CSMs see the whole account, playbooks handle the operational load, and AI answers tier 1 with your own documentation.
For:B2B SaaSPLG scale-upsVertical software with an account book
The risk signal exists, but it is spread across three tools. By the time someone joins the dots, the account has asked to cancel.
The account signed, got a welcome email and went quiet. Nobody knows which step it stalled on or who should have acted.
Upsell happens when the CSM remembers. Renewal windows, plan limits and new use cases trigger nothing on their own.
Sales, support, Customer Success and AI agents share one data layer and one history. What changes per sector is the queues, the journeys, the playbooks and the AI's rules.
Configurable health score per segment, with usage, engagement, billing and support dimensions read straight from your tools.
Omnichannel inbox for support, with queues by product and priority, configurable SLAs and history on the same profile CS sees.
Answers how-to questions from your documentation and help center. Escalates to a human when confidence drops or policy says so.
Leads from the site or the trial are qualified and booked on WhatsApp, and land in the pipeline with the conversation's context.
Each item below is a platform configuration, described in the present tense. It is not a promise of results: it is what the rule does when the trigger fires.
Health score turns yellow, the CSM gets a task and the re-engagement playbook fires.
Onboarding journey opens with activation milestones; a late milestone alerts the account owner.
The window appears in the forecast with health score and value; red accounts go to the lead's review.
The support dimension weighs on the health score and the CSM hears about it before the renewal does.
The AI agent answers from the docs; without a confident answer, it hands over to support with a summary.
NPS goes out on WhatsApp and email; detractors open a task, promoters enter the case-study and referral playbook.
Product, billing and CRM data feed the health score through native integrations; everything else over API and webhooks.
See all integrationsMost health scores die in the dashboard. The problem is rarely the formula — it's the missing trigger. Here's the framework we use with real B2B teams.
ReadIf onboarding takes 11 months and the contract is 12, the renewal is already lost. Time to Value is the most underrated CS leading indicator — and the only one with a concrete timeframe rule (30 or 90 days, depending on touch model).
ReadMost CS teams operate reactively. Wayne McCulloch's seven-pillar framework gives a clear architecture — 5 sequential customer-journey stages and 2 cross-cutting capability layers — to move from firefighting to building CS as a company capability.
ReadIntelligent customer management
A 30-minute demo with a specialist. Bring your health score model, even if it still lives in a spreadsheet.