Features

Detect. Act. Expand.

perly.ai's AI prediction engine learns from your users' behavior and only gets smarter. Understand how customers use your product, predict churn before it happens, and surface expansion revenue your team is leaving on the table.

Detect

Spot disengaging customers before they cancel

Our AI prediction engine combines billing, product usage, support tickets, and NPS into one health score — calibrated to your own churn patterns and getting smarter over time. Your CS team gets an action list, not a static report.

At-Risk Accounts
3 at risk
Acme Corp
0 logins in 21 days
23
TechStart Inc
MRR dropped 30%
41
DataFlow Ltd
3 support tickets this week
48
$47.2k MRR at riskView all →

Composite Health Scores

Our AI prediction engine computes one score per account by blending billing health, product usage trends, support ticket volume, and NPS. It learns your churn patterns and only gets smarter — no manual configuration.

Revenue Impact Visibility

See exactly how much MRR is at risk this month, broken down by cohort, segment, and risk severity. Prioritize by dollar impact, not just customer count. Understand which segments churn most and which expand fastest.

Act

Automate retention before you lose revenue

When a customer crosses a risk threshold, the right playbook fires instantly — Slack alerts, CRM tasks, email drips, and Intercom messages. Zero manual triage, fully automated retention workflows.

Trigger
Health score dropped below 40
Slack alert
#cs-urgent
CRM task
Assigned to Sarah K.
Email drip
Re-engagement sequence
Outcome
Customer re-engaged — score rising to 72

Smart Routing

At-risk accounts are automatically routed to the right CSM based on segment, tier, or risk severity. Multi-channel orchestration across email, in-app messaging, Slack, and CRM — triggered by real behavioral signals, not arbitrary schedules.

Measure What Works

Track which playbooks actually prevent churn and which don't. Iterate on your retention strategy with real outcome data — not gut feeling. See save rates, time-to-resolution, and revenue retained per playbook.

Expand

Surface upsell opportunities your team is missing

Seat limits, API quotas, token usage, and trial feature hits — surfaced the moment they become actionable, with dollar values attached. Your AEs know exactly which accounts to call and why.

Expansion Signals
Live
SEAT LIMITAcme Corp hit 90% seat capacity+$2,400/mo
API USAGEDataFlow API calls up 340% this week+$800/mo
FEATURE TRIALTechStart exploring Enterprise SSO+$5,000/mo
$8,200/mo expansion pipelineView all →

SDK & Workflow Automation

Add a single configuration file and the SDK handles endpoint tracking, errors, usage metrics, and user-level behavioral data. Typed signal() events like seat_limit_near and api_usage_high wire to HubSpot, Slack, or Notion via Zapier, Make, or n8n.

Revenue Pipeline

Track how long accounts have been at capacity and whether it's a sudden spike or a growing trend. See total expansion MRR across your base with a daily-updated ready-to-upsell list, complete with dollar values per opportunity.

Ready to see it in action?

Up and running via OAuth in 15 minutes. No sales call required. Your first health scores in 15 minutes.