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/// saas & technology

Churn signals surface before cancellation emails.

askotter unifies product analytics, billing, support, and marketing to detect churn risk, identify expansion, and attribute revenue across long sales cycles. Train agents like your best CS rep. They learn your product, adapt to your user behavior patterns, and scale that knowledge across the entire team.

18 days
avg churn signal lead time
per-account
health scoring
full-journey
attribution model
ST Stripe HS HubSpot GA Google Analytics GH GitHub ZD Zendesk KL Klaviyo +1 more DATA LAKE 7 sources Change Detection Root Cause Predictions Recommendations NLQ Chat
/// live monitoring

What askotter detects across your SaaS stack.

account health · churn risk 247 accounts
Acme Corp $24K ARR ↑ 340% EXPAND
Bloom & Co $18K ARR ↓ 60% CHURN RISK
Priya Dental $12K ARR ↓ 45% CHURN RISK
FinScale $31K ARR ↑ 12% HEALTHY
Meridian $8K ARR → flat MONITOR
/// AGENT FEEDsaas & technology
CRIT23 accounts flagged high churn risk. Login frequency -60%, unresolved tickets. Combined ARR: $480K.8m
WARNFeature adoption v4.2 Dashboard at 12% after 30 days. Below 25% threshold. Onboarding email recommended.1h
INFOTrial cohort Feb: 31% conversion. Users who chat within 48hrs convert 3.1x. Recommend nudge email at hour 24.2h
OKExpansion signal: Acme Corp usage +340%. Exceeding plan limits. CS flagged for upgrade convo.3h
/// real-time response

Friday, 11:00 AM: 23 accounts flagged for churn

Your churn model just flagged 23 accounts worth $480K ARR. Here is the pattern:

11:00 AM
23 accounts match pre-churn pattern: login frequency -60%, unresolved tickets, payment retry
CHANGE DETECTION
11:01 AM
Top 3 by ARR: Acme Corp ($24K), Bloom & Co ($18K), Priya Dental ($12K)
FORECASTING
11:02 AM
Common factor: v4.2 Dashboard not adopted. Accounts that use it show 40% lower churn signals
ROOT CAUSE
11:03 AM
CS team notified with per-account playbooks. In-app tooltip recommended for SMB segment
STRATEGY
/// before & after

What changes with askotter.

METRIC
BEFORE
WITH ASKOTTER
Churn detection
At cancellation
18 days before
Feature adoption
Monthly product review
Real-time, per-segment
Trial optimization
Aggregate conversion rate
Per-cohort, per-behavior
Expansion signals
Annual account review
Continuous usage scoring
/// SaaS operator pain

What SaaS teams fight every quarter.

Churn is a lagging indicator
By cancellation, the decision was weeks ago. Usage dropped. Support tickets spiked. Feature adoption stalled. Signals were there.
Attribution over long cycles
A B2B deal takes 90 days. Blog, webinar, sales call, trial. Last-touch credits the call. The blog gets cut.
Expansion revenue is invisible
Which customers are ready to upgrade? Product data says one thing. Support says another. Nobody connects the dots.
Feature adoption is a guess
Shipped a major feature. Is anyone using it? Which segments adopted it? Is it reducing churn? Data lives across 4 tools.
/// retention metrics

The metrics that determine your valuation.

Net Revenue Retention
112% current rate
expansion + churn tracked
Churn Signal Lead Time
18 days avg before cancel
behavioral pattern match
Trial → Paid
12.4% current conversion
tracked per-cohort
Attribution Accuracy
4.2x vs last-click model
full-journey attributed
connected tools
Stripe HubSpot Google Analytics GitHub Zendesk Klaviyo Slack +50 more
/// the SaaS playbook

From trial signup to expansion revenue. Agents that adapt with you.

1

Connect the full funnel

Marketing automation, product analytics, billing, support, CRM. Unified lifecycle visibility.

2

Detect pre-churn patterns

Usage decline + tickets up + login drop = high risk. Flagged 18 days before cancellation. Self-healing agents refine their models as your product and user base evolve, re-routing alerts and adjusting risk thresholds automatically.

3

Multi-touch attribution

Map every touchpoint across 90-day cycles. Content, ads, sales, product all get accurate credit.

4

Expansion scoring

Usage patterns that predict upgrade readiness. Surface to CS and sales at the right moment. Every signal is a recommendation, not an action. Your team reviews and decides. Save playbooks as shared notes to upskill every rep.

/// ask the platform

Query product, billing, and support. Save insights for the team.

/// CHATaskotter
Which customers are most likely to churn?
23 flagged. Pattern: logins -60%, ticket unresolved, payment retry failed. Top 3 by ARR: Acme Corp ($24K), Bloom & Co ($18K), Priya Dental ($12K). Recommend CS outreach within 48hrs.
SOURCES: Stripe + HubSpot + Zendesk + Product
Is the new feature reducing churn?
v4.2 adoption: 12%. Accounts using it show 40% lower churn indicators. But concentrated in Enterprise. SMB hasn't found it. Recommend in-app tooltip for SMB.
SOURCES: Product + Stripe + Zendesk
Ask anything about your saas & technology data. Save responses as notes to share. Ask

Ready to catch churn signals before customers cancel?

Connect product analytics, billing, and support. Train agents on your product. They learn your patterns and surface what needs attention. Your team stays in the loop on every decision.

See the SaaS Playbook →
/// other industries

Explore more verticals. Same human-in-the-loop approach.