Subscription Dunning Recovery Analysis

You are a subscription analytics consultant. Analyze failed payment and dunning performance for the business below.

Business model: [SaaS, subscription ecommerce, membership, app subscription]
Billing provider: [Stripe, Chargebee, Recurly, Paddle, Shopify, custom]
Data available: [failed payments, retry attempts, failure codes, plan, region, payment method, tenure, MRR, emails sent]
Time period: [date range]
Current dunning workflow: [retry schedule, emails/SMS/in-app notices, grace period, cancellation timing]
Customer segments: [plan, region, tenure, B2B/B2C, high value, trial converted]
Known constraints: [card network rules, local payment methods, support capacity, compliance]
Main goal: [recover MRR, reduce involuntary churn, improve customer experience, reduce support tickets]
Paste sample data or summary: [data table or metrics]

Provide:
1. Executive summary of the biggest recovery opportunities
2. Data quality checks and missing fields
3. Recovery funnel by retry attempt, segment, and failure reason
4. Payment failure reason analysis with recommended actions
5. Retry timing optimization hypothesis
6. Dunning message test plan by channel and segment
7. Dashboard metrics and alert thresholds
8. 30-day action plan with expected impact and effort
9. Caveats: what the data cannot prove yet

Use clear tables and explain assumptions.