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Renewal Management & Churn Prediction

ML-powered prediction of contract churn risk 90-180 days before expiration with automated renewal workflows and proactive retention recommendations.

Business Outcome

reduction in time spent on renewal activities

Complexity:

Medium

Time to Value:

3-6 months

Why This Matters

What It Is

ML-powered prediction of contract churn risk 90-180 days before expiration with automated renewal workflows and proactive retention recommendations.

Current State

(Traditional)

1. Sales ops maintains spreadsheet of contract expiration dates. 2. Quarterly review identifies contracts expiring in next 90 days. 3. Sales ops emails sales reps to begin renewal discussions. 4. Many contracts auto-renew at old terms (missed opportunity to adjust). 5. 15-25% of contracts lapse or are lost due to inattention. 6. No prediction of which customers likely to churn or renew. 7. Reactive scramble when strategic customer gives notice of non-renewal.

Characteristics

• HyperStart CLM
• Salesforce CRM
• DocuSign
• Excel
• ERP Systems

Pain Points

⚠ Late initiation of renewal discussions leading to rushed negotiations.
⚠ Heavy reliance on manual processes resulting in errors and inefficiencies.
⚠ Role conflicts among team members causing internal friction.
⚠ Lack of centralized data for tracking contracts and renewal dates.
⚠ Limited analytics for predicting churn, relying on reactive management.
⚠ Approval bottlenecks delaying the renewal process.
⚠ Inadequate tools for sophisticated churn prediction.
⚠ Dependence on spreadsheets and email for tracking and communication.

Future State

(Agentic)

1. Renewal & Churn Prediction Agent monitors contract expiration dates and triggers renewal workflows 90-180 days early. 2. ML predicts churn risk based on: usage/purchase patterns, support tickets, payment history, competitive intelligence, engagement scores. 3. Agent scores renewal likelihood: high (90%+), medium (50-90%), low (<50%). 4. Agent recommends proactive actions for at-risk accounts: price adjustments, value-add services, executive engagement, retention offers. 5. Agent tracks renewal rates and identifies patterns: which contract terms, pricing models, or relationship factors drive retention. 6. Agent generates renewal forecasts and revenue-at-risk reports for executives.

Characteristics

• Contract expiration dates and renewal terms
• Customer purchase and usage patterns
• Support ticket volume and sentiment
• Payment history and credit standing
• Competitive win/loss intelligence
• Customer engagement scores and NPS
• Historical renewal vs churn outcomes

Benefits

✓ 95%+ renewal capture through proactive 90-180 day workflows
✓ 70-85% churn prediction accuracy enables targeted retention
✓ Proactive renewal rate increases to 80-90% vs 20-30%
✓ Price optimization during renewal vs auto-renew at old terms
✓ Revenue-at-risk quantified and prioritized by account value
✓ Continuous learning improves churn prediction over time

Is This Right for You?

50% match

This score is based on general applicability (industry fit, implementation complexity, and ROI potential). Use the Preferences button above to set your industry, role, and company profile for personalized matching.

Why this score:

• Applicable across multiple industries
• Moderate expected business value
• Time to value: 3-6 months
• (Score based on general applicability - set preferences for personalized matching)

You might benefit from Renewal Management & Churn Prediction if:

You're experiencing: Late initiation of renewal discussions leading to rushed negotiations.
You're experiencing: Heavy reliance on manual processes resulting in errors and inefficiencies.
You're experiencing: Role conflicts among team members causing internal friction.