Teenva AI & Digital Ventures builds customer churn prediction for B2B SaaS, subscription businesses, managed services, and recurring-revenue platforms from Bangalore, India. Each account gets a churn risk score, health tier, and explainable drivers—usage drop, support escalations, payment friction, stakeholder change—synced to Salesforce, HubSpot, or Zoho CRM so customer success and account managers act before renewal slips or logo churn hits.
Health scores, churn probability, and CS actions—explainable and CRM-native. Reactive save calls after cancellation notice are too late.
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Customer churn prediction—renewal risk models, health tiers, and CS playbook triggers.
What we predict
| Output | Question answered | Typical use |
|---|---|---|
| Churn probability | Will this account cancel or not renew in N days? | 30/60/90-day horizon (your definition) |
| Health score | Overall account vitality (inverse of risk) | Green / amber / red in CRM |
| Revenue churn risk (scoped) | Downgrade or seat contraction likely? | Expansion team vs CS |
| Engagement trend | Usage velocity vs 90-day baseline | Early warning before hard churn |
| Renewal window flag | Contract end within 90 days + elevated risk | Exec outreach queue |
| Expansion signal (scoped) | Upsell likelihood separate from churn model | Route to AE |
Churn models use structured ML—gradient boosting, survival analysis, calibrated probability—not LLM chat for risk rank.
Different from AI lead scoring, which targets new pipeline. Triggers sales copilot briefs for at-risk renewals. Hub: AI solutions.
Signals in the model
| Signal category | Examples |
|---|---|
| Product usage | DAU/MAU, feature adoption, login frequency, seat utilization |
| Support & success | Ticket volume, severity, CSAT, time-to-resolve trends |
| Commercial | ARR/MRR band, discount depth, payment failures, invoice delays |
| Relationship | Champion departure (scoped), exec sponsor missing, QBR no-shows |
| Contract | Days to renewal, auto-renew vs manual, multi-year vs monthly |
| NPS / survey (scoped) | Detractor trend, verbatim sentiment score (not raw LLM verdict) |
| Marketing engagement (scoped) | Training webinar attendance drop |
| Enriched firmographics (scoped) | From CRM data enrichment—firm stress proxies |
| Outcome labels | Cancel, non-renew, downgrade, or saved from your CRM/billing |
Churn definitions we align on
| Business model | Churn label (examples) |
|---|---|
| B2B SaaS subscription | Cancel at period end, failed renewal after dunning |
| Annual contract | Logo churn at renewal; partial = downgrade label |
| Usage-based (scoped) | Sustained spend below threshold for M months |
| Managed services (scoped) | Contract not extended; SOW complete without successor |
| Consumer subscription (scoped) | Separate model; often higher volume, shorter horizon |
Discovery locks one primary label per model version—mixing cancel types without hierarchy confuses training.
Features we implement
Scoring API
Account-level score on usage event or nightly batchHealth tier sync
Custom fields in Zoho CRM, Salesforce, HubSpotExplainability
Top drivers: -40% core feature usage, 3 P1 tickets, payment retry failedPlaybook triggers
Create CS task, Slack alert, or workflow automation when risk > thresholdRenewal calendar view
Risk × days-to-renewal matrix for leadershipCSM worklist
Prioritized outreach list each MondayCohort monitoring
Churn rate by segment, plan, industry vs prediction decileChampion/challenger
Shadow new model before replacing production scoreBacktesting
Historical accounts scored as-if at T-60 before churnExpansion model hook (scoped)
Separate score; don't conflate with churnEmbed in product (scoped)
Health widget in your SaaS admin
Health tier sync in Zoho CRM. Playbooks via workflow automation. Embed in SaaS admin.
Architecture
Product usage, billing, support, CRM (accounts, activities)
Feature pipeline (rolling windows, trends, renewal proximity)
Churn / health model → probability + tier + drivers
Policy rules (enterprise accounts always human review)
CRM write-back + playbook tasks + optional sales copilot brief
Actual churn / save outcome → retrain labels
Deployment — your VPC; product telemetry stays in your data warehouse
Privacy — no customer PII sent to public LLM APIs for scoring
Retention actions (beyond the score)
| Risk tier | Example playbook |
|---|---|
| Green | Nurture expansion; request case study |
| Amber | CSM check-in; training session; usage review |
| Red | Exec sponsor call; commercial save offer (scoped); support SWAT |
| Renewal < 30d + red | Renewal desk queue; meeting intelligence prep for QBR |
| Post-save (scoped) | Track if usage recovers—model feedback loop |
Teenva triggers workflows; your CS leadership owns offer policy and messaging.
Integrations
| System | Role |
|---|---|
| Zoho CRM / Billing / Desk | Account health fields, tickets, invoices |
| Salesforce / HubSpot (scoped) | Account objects, renewal objects, tasks |
| Product analytics | Segment, Mixpanel, Amplitude, or warehouse events |
| Billing (scoped) | Stripe, Chargebee, Zoho Subscriptions—payment failure signals |
| Data warehouse (scoped) | Snowflake/BigQuery feature store |
| API integration services | Custom ERP or usage metering for non-SaaS recurring revenue |
A churn score without a playbook is a dashboard ornament. We wire risk thresholds to CS tasks and renewal views your team already uses.
Customer churn vs sibling CRM AI
| Product | Focus |
|---|---|
| Customer churn prediction (this page) | Retain existing accounts and renewals |
| AI lead scoring | Acquire and prioritize new leads |
| CRM data enrichment | Fill account/contact attributes |
| Sales copilot AI | Rep drafts and renewal call prep |
| AI campaign manager | Marketing campaigns—including win-back (scoped) |
Different from ecommerce cart recovery—B2B recurring revenue and CS workflows, not abandoned shopping carts. Ecommerce cart recovery.
Why Teenva AI
Retention-first ML
Survival and usage trends, not repurposed lead-scoring templatesExplainability for CSMs
Drivers they can act on in the next callIndia + global SaaS
Delivery from Bangalore; models work across regions when data supportsFull stack
Custom SaaS + scoring in one engagementOps glue
Workflow automation when CRM native flows aren't enough
Full stack with custom SaaS. Ops glue via workflow automation.
Our delivery process
Discovery
Churn definition, renewal motion, data sources
Label audit
Cancel vs downgrade vs saved; historical window
Feature engineering
Usage, support, billing, CRM joins
Baseline model
Beat rules like no login 30 days = red on holdout
Explainability review
CS validates driver narratives
CRM integration
Health fields, views, playbook automations
Pilot cohort
One segment (e.g. mid-market annual)
Measure
Save rate, early outreach rate, false alarm rate
Production + retrain
Monthly or quarterly model refresh cadence
Frequently asked questions
We align on your cancel/non-renew/downgrade events from billing + CRM—documented in discovery.
Rough guide: 200+ churn events for stable B2B SaaS; smaller bases need simpler models or longer lookback.
Both—usage spikes can trigger intraday refresh; nightly batch for full account base.
Recommended—upsell propensity is a different label than churn; can share feature pipeline.
- Yes—CRM health fields, Desk tickets, Subscriptions billing (scoped).
No—model prioritizes; CSMs own relationship and save offers.
- Firmographic stress signals can help enterprise segments when usage data is thin (scoped)—via CRM enrichment.
Possible with higher volume and different features—scoped as separate model.
Scores stored in your systems; retention and purpose per your privacy policy (scoped).
10–14 weeks to production MVP—often data integration is the long pole.
Build your churn prediction model
Health scores, renewal risk, explainable drivers, and CS playbooks synced to your CRM.
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