SaaS — your churning customers told you they were leaving. In their own words.

custovox.ai reads every ticket, email and review to detect the linguistic patterns and word combinations that precede cancellation — automatically, 3 to 6 weeks before it happens.

Churn probability score Linguistic pattern detection MRR at risk CS & Product insights 5 native languages

Three problems every SaaS team faces

Your NPS hides your real churn risk

A customer scoring 8/10 can hold 4 linguistic signals of imminent departure in their last 3 messages. NPS doesn't read between the lines. custovox.ai does.

Your product gaps are written in your tickets

Every feature request, every recurring bug, every frustration — your customers write them in their tickets and emails. Nobody reads them all. custovox.ai does.

Silent customers churn without warning

34% of churned customers never contacted support in their last 6 weeks. Their silence was the signal. PredictIQ detects it.

How custovox.ai calculates churn probability

PredictIQ combines multiple linguistic signals extracted from each customer's messages to produce a churn probability score from 0% to 100%, updated after each interaction.

+31 pts

Lexical field

Detection of semantic fields associated with departure: 'alternative', 'competitor', 'looking for', 'switching to'

+18 pts

Tone evolution

Tracking tone shift across successive messages: neutral → frustrated → detached

+24 pts

Recurrence patterns

Same problem mentioned multiple times: 'this is the third time', 'again', 'still not fixed'

+11 pts

Temporal context

Proximity to renewal date combined with negative signals multiplies the score

Two use cases — same platform

A B2B SaaS — 200 clients, MRR €150,000

The CS team of 3 manages 200 clients with a spreadsheet. They react when a client asks to cancel — never before. Annual churn is 18% and nobody knows why.

After 3 months of TextIQ + PredictIQ analysis:

  • 34% of red-zone clients never contacted support — they leave silently
  • 'I don't understand how to use X' appears in 41% of tickets from clients who churned in the last 6 months — never flagged to Product
  • Clients onboarded by one CSM have 2× lower churn — their practices are documented and rolled out
  • 3-month trend: monthly churn from 1.8% to 1.1% — €10,500 MRR preserved
TextIQPredictIQ Discover TextIQ → Discover PredictIQ →
custovox.ai SaaS CS dashboard — linguistic churn signals, probability score breakdown and MRR at risk

The modules used in SaaS

TextIQ

Analyze every ticket, email and G2/Capterra review — detect the linguistic patterns that precede cancellation.

Discover TextIQ →

PredictIQ

Score each customer from 0% to 100% churn probability — updated after every interaction. Hot/Warm/Cold classification.

Discover PredictIQ →

VoiceIQ

Analyze onboarding and renewal calls — detect tension signals and objections before they become a cancellation request.

Scale plan Discover VoiceIQ →

What 3 months of analysis changes

Monthly churn fell from 1.8% in month 1 to 1.4% in month 2 and 1.1% in month 3, while NPS rose from 32 to 38 and 47. Proactive CS outreach was deployed in month 2.
NPS (left scale)Monthly churn (%, right scale)

From 1.8% to 1.1% monthly churn = €10,500 MRR preserved per month on a €150,000 MRR base

What you receive

FAQ

What data do you need to calculate churn probability?

Any text produced by your customers — support tickets, emails, in-app feedback, G2/Capterra reviews. The more messages per customer, the more precise the score. A minimum of 3 messages per customer is recommended.

Does this replace our CRM?

No — custovox.ai is complementary to your CRM. Your CRM tracks what customers do. custovox.ai reads what they say — and detects what they mean. The two work together.

How quickly do you detect a churn signal?

The score is updated after each new message or interaction. On average, custovox.ai detects departure signals 3 to 6 weeks before the cancellation request.

Want to see the churn signals hidden in your customer messages?

Send us your last 100 tickets or customer emails — full linguistic analysis in 48 hours. Free. No credit card.

I want my free case study → See pricing