Segments that think for themselves
Accoil builds dynamic, behaviour-based segments at account and user level that update continuously as product usage changes. Coming soon: AI will recommend the segments you should be running based on what your data shows.
No more stale CRM lists. No more guessing who belongs where. Segments update continuously as product usage changes.
Static segments cost you revenue
Most B2B teams build segments the same way they always have: manual CRM lists, demographic filters, deal-stage buckets. These segments go stale the moment someone saves them. Worse, they reflect what sales entered — not what customers actually did. Product usage changes constantly. An account that was healthy last week might have gone dark. A free trial that looked disengaged just activated three core features. If your segments don't move with behaviour, your playbooks are always one step behind — and your AI tools are working with outdated context.
- Manual CRM lists decay within days — outreach hits the wrong accounts at the wrong time
- Demographic segments (company size, industry, deal stage) tell you nothing about what a customer is actually doing in your product
- Static filters can't feed AI agents — support and sales copilots need real-time behavioural context to triage correctly
Key capabilities
Dynamic behaviour-based segments
Build segments for churn-risk cohorts, expansion-ready accounts, activation stall groups, and more — using multi-condition logic across scores, usage, traits, and recency. Segments recompute continuously as your data evolves. Coming soon: AI will recommend the segments you should be running based on proven B2B playbooks.
Real-time behavioural updates
Segments recompute continuously as product usage changes. An account that drops from daily to weekly usage moves into the cooling segment automatically. A user who completes activation milestones exits the onboarding cohort. No manual refresh. No exports. Always current.
Account and user level — built for B2B
Segment at both account and individual user level. See which accounts have disengaged teams, which have a single champion carrying all usage, and which have broad adoption across roles. This is B2B-native segmentation, not consumer analytics repackaged for SaaS.
Segments that feed AI tools
Every segment is available via API. When a support agent powered by Intercom Fin or Zendesk AI handles a ticket, it can see that this account is in the "expansion-ready" segment or the "critical churn risk" cohort — and adjust its response accordingly. Segments become context infrastructure.
How it works
Connect your product data
Accoil ingests events, traits, scores, and properties from your product — via Segment, PostHog, Amplitude, or direct API. No new instrumentation required if you already track usage.
Build segments with multi-condition logic
Combine usage patterns, scores, recency, frequency, traits, and activation status into precise segments. Build churn risk tiers, activation progress groups, expansion readiness cohorts — whatever matters for your product. Coming soon: AI will suggest segments based on proven B2B playbooks.
Segments stay live and flow everywhere
Segments update in real time as behaviour changes. They sync to HubSpot, Salesforce, Intercom, Slack, and your AI tools via API. Every team — and every AI agent — works from the same current view.
Most teams have their first segments running within 48 hours.
Integrations & actions
Segments are only useful if they reach the tools your teams already use. Accoil pushes live segment membership everywhere it matters.
CRM sync
Push segment membership to Salesforce or HubSpot as live-updating lists. CSMs see behavioural segments directly in account records — no switching tools.
Slack signals
Get notified in Slack when accounts enter or exit key segments. Segment changes appear in the Signals Feed alongside engagement score shifts and alerts.
AI agent context
Segment membership is available via REST API and webhooks. AI support agents and sales copilots see whether an account is "healthy," "cooling," or "critical" — and act accordingly.
Automation triggers
Trigger workflows when accounts enter or leave segments. Start onboarding sequences, escalate to CS, update deal stages, or fire webhooks to custom tools — all driven by behaviour.
What this unlocks
For customer success
- Churn-risk segments (healthy / cooling / cold / critical) update automatically as engagement scores change — no manual list building
- Prioritise check-ins by segment membership: focus on accounts that just entered "cooling" before they go cold
For product teams
- Compare behaviour across segments — how do "power users" differ from "at-risk" accounts in feature adoption?
- Track activation cohorts to measure whether onboarding changes move accounts through milestones faster
For support & AI
- Feed accurate audience context to AI assistants
- Tailor support workflows based on behaviour
For sales & revenue
- Expansion-ready segments surface accounts with growing usage, new active users, or champion activity — before renewal conversations
- Build warm outreach lists based on feature adoption milestones, not demographic guesswork
For leadership
- Monitor segment distribution over time — is the share of "healthy" accounts growing or shrinking?
- Tie segment trends to revenue outcomes: accounts in the "expansion-ready" segment convert at a measurably higher rate
“We stopped building manual lists entirely. Accoil's segments update themselves, and every team — CS, sales, even our AI support bot — pulls from the same view. We caught three at-risk accounts last quarter that we would have missed with our old CRM filters.”
Stop building segments. Start using them.
Build the segments that matter, keep them current as behaviour changes, and deliver them to every tool and AI agent your team relies on.