Renewal Optimization Metrics Report Template
Author: Laksh Pujary, Founder @ Autoikigai For: Independent Insurance Agencies ($1M-$10M Written Premium) Last Updated: May 2026
Why You Need This Report
Most agencies track retention as a single number. “We retain 87% of clients.” That tells you almost nothing. You don’t know which lines are bleeding, which producers are losing renewals, or which carriers are pushing non-renewals that tank your book.
This template breaks renewal performance into the metrics that actually predict revenue trajectory.
Core Metrics Dashboard Layout
+------------------------------------------------------------------+
| RENEWAL PERFORMANCE DASHBOARD |
| Month: ________ |
+------------------+-------------------+---------------------------+
| RETENTION RATE | REVENUE RETAINED | TOUCH-TO-RENEWAL RATIO |
| ____% | $__________ | ____:1 |
+------------------+-------------------+---------------------------+
| |
| +-- BY LINE OF BUSINESS --+ +-- BY CARRIER -----------+ |
| | Personal Auto: ____% | | Progressive: ____% | |
| | Homeowners: ____% | | Hartford: ____% | |
| | Commercial Auto: ____% | | Travelers: ____% | |
| | BOP/GL: ____% | | Nationwide: ____% | |
| | Workers Comp: ____% | | Liberty Mutual: ____% | |
| | Umbrella: ____% | | Safeco: ____% | |
| +-------------------------+ +--------------------------+ |
| |
| +-- LOST REVENUE ANALYSIS ---+ |
| | Policies Lost: ____ | |
| | Premium Lost: $______ | |
| | Avg Lost Policy: $______ | |
| | Top Reason: ___________ | |
| +----------------------------+ |
+------------------------------------------------------------------+
Metric Definitions & Benchmarks
| Metric | Definition | Poor | Average | Top 10% |
|---|---|---|---|---|
| Retention Rate (Overall) | Policies renewed / policies up for renewal | <80% | 85-89% | 93%+ |
| Revenue Retention | Premium $ renewed / premium $ up for renewal | <82% | 87-91% | 95%+ |
| Touch-to-Renewal Ratio | Total touchpoints / successful renewals | >8:1 | 4-6:1 | 2-3:1 |
| Time-to-Renewal | Days before expiration when renewal is confirmed | <7 days | 15-30 days | 45+ days |
| First-Contact Resolution | Renewals confirmed on first outreach | <30% | 45-55% | 70%+ |
| Rate-Increase Retention | Retention when premium increases >10% | <60% | 70-75% | 85%+ |
Carrier-Specific Renewal Tracking
Track each carrier separately. Their appetites shift, and a carrier pulling back from a class will silently destroy your retention.
| Carrier | Policies Up | Renewed | Lost | Non-Renewed (Carrier) | Rate | Avg Increase |
|---|---|---|---|---|---|---|
| Progressive | ||||||
| Hartford | ||||||
| Travelers | ||||||
| Nationwide | ||||||
| Liberty Mutual | ||||||
| Safeco | ||||||
| (Add rows) |
Key insight: If a carrier’s non-renewal count spikes, that’s not a retention problem — it’s a market access problem. You need to get ahead of it.
Revenue Retained vs Lost — Monthly Tracker
| Month | Premium Up for Renewal | Premium Renewed | Premium Lost | Net Retention % | Cumulative YTD |
|---|---|---|---|---|---|
| Jan | |||||
| Feb | |||||
| Mar | |||||
| Apr | |||||
| May | |||||
| Jun | |||||
| Jul | |||||
| Aug | |||||
| Sep | |||||
| Oct | |||||
| Nov | |||||
| Dec |
Lost Policy Analysis Template
For every lost policy, log:
| Field | Value |
|---|---|
| Client Name | |
| Policy Type | |
| Annual Premium | |
| Years as Client | |
| Reason Lost | Price / Service / Carrier Non-Renewal / Life Event / Competitor |
| Competing Quote (if known) | |
| Touchpoints Before Loss | |
| Escalated to Producer? | Y/N |
| Win-Back Attempted? | Y/N |
| Win-Back Result |
Pulling This Data From Your AMS
Applied Epic
- Report: Policy Transaction Report filtered by “Renewal” and “Cancellation” transaction types
- Date range: Filter by policy effective date for the reporting month
- Export: CSV export, pivot in Excel or feed into dashboard
AMS360
- Report: Retention Analysis report under Management Reports
- Filter: By branch, producer, line of business
- Note: AMS360’s built-in retention report doesn’t separate carrier non-renewals. You’ll need to cross-reference with cancellation reason codes.
HawkSoft
- Report: Policies Expiring report + Cancellation report
- Combine: Match policy numbers across both to calculate true retention
- Limitation: HawkSoft requires more manual work here. Consider exporting to a spreadsheet.
Automation Opportunities
An AI employee can automate 80% of this reporting:
MANUAL PROCESS (4-6 hours/month):
Pull reports from AMS
Cross-reference renewals vs cancellations
Calculate metrics per carrier/line
Build dashboard
Identify trends
Flag at-risk renewals for next month
AUTOMATED PROCESS (15 minutes/month -- review only):
AI pulls data via AMS API or scheduled export
Auto-calculates all metrics
Generates dashboard + trend analysis
Flags carrier appetite shifts
Predicts next month's at-risk renewals
Sends weekly digest to producers
Action Items From This Report
Every month when you review this dashboard, answer these five questions:
-
Which line of business has the worst retention trend over the last 3 months?
- Root cause? Price? Service? Market?
-
Which carrier is non-renewing the most policies?
- Do you have alternative markets ready?
-
What’s the average premium of lost policies vs retained?
- If you’re losing high-premium accounts, that’s a different problem than losing small ones.
-
Are any producers significantly below the agency average?
- Training issue or book-quality issue?
-
Is your touch-to-renewal ratio improving?
- More touches per renewal = inefficiency. Fewer = better process or better automation.
Next Steps
If you’re tracking none of this today, start with three numbers:
- Overall retention rate
- Revenue retained
- Lost policies by reason
Build from there. Or let an AI employee generate this entire report automatically every month.
Built by Autoikigai — AI employees for insurance agencies.