Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Manage the customer renewal process with health-based playbooks, timeline tracking, and risk mitigation strategies
日本語の概要は準備中です。原文の説明を表示しています。
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Execute systematic renewal processes using health-based segmentation, proactive outreach, and risk mitigation to maximize retention.
Based on Gainsight Renewal Management and SaaS Renewal Best Practices, focusing on:
| Claude Does | You Decide |
|---|---|
| Creates renewal timelines | Discount authority |
| Builds health-based playbooks | Pricing decisions |
| Identifies renewal risks | Save vs. let go |
| Suggests save strategies | Contract terms |
| Calculates renewal forecast | Executive involvement |
Renewal Matrix:
| Health | Contract Value | Approach |
|---|---|---|
| 🟢 High + High | Expand + Multi-year | |
| 🟢 High + Low | Upsell | |
| 🟡 Medium + Any | Standard renewal | |
| 🟠 Low + High | Save priority | |
| 🔴 Critical + Any | Executive save |
Standard Timeline (90-Day):
| Days Out | Activity | Owner |
|---|---|---|
| 120 | Health check, flag risks | CSM |
| 90 | Renewal kickoff | CSM |
| 75 | Value review call | CSM |
| 60 | Proposal sent | CSM/Sales |
| 45 | Negotiation | Sales |
| 30 | Final terms | Sales |
| 14 | Signature push | Sales |
| 0 | Renewal close | Sales |
Green Playbook (Healthy):
Yellow Playbook (Monitor):
Orange/Red Playbook (At-Risk):
Renewal Forecast =
(Green × 95%) +
(Yellow × 80%) +
(Orange × 50%) +
(Red × 25%)
Output:
## Renewal Playbook: 90-Day Process
### Healthy Customer (Health Score >75)
**Goal:** Renew with expansion or multi-year
**Day 120: Pre-Renewal Check**
- [ ] Review health score and trends
- [ ] Check expansion opportunities
- [ ] Prepare value summary
**Day 90: Renewal Kickoff**
- [ ] Send renewal notice email
- [ ] Schedule value review call
- [ ] Prepare ROI documentation
**Day 75: Value Review Call (45 min)**
Agenda:
1. Relationship check (5 min)
2. Value delivered review (15 min)
3. 2026 priorities (10 min)
4. Renewal discussion (10 min)
5. Next steps (5 min)
Script: "Based on [X value delivered], we'd love to continue our partnership. I'd like to discuss options for next year, including a multi-year agreement that could give you better terms."
**Day 60: Proposal**
- Standard or upgrade proposal
- Multi-year option (5-10% discount)
- Expansion options
**Day 45-14: Light Follow-Up**
- Procurement coordination
- Answer questions
- Minimal negotiation
**Day 0: Close**
- Expected close rate: 95%
- Expected expansion: 10-20%
---
### At-Risk Customer (Health Score <50)
**Goal:** Save the account, then renew
**Day 120: Risk Assessment**
- [ ] Deep dive on health issues
- [ ] Identify root cause
- [ ] Develop save plan
- [ ] Alert leadership
**Day 90: Save Plan Activation**
- [ ] Executive sponsor outreach
- [ ] Service recovery actions
- [ ] Address root causes
**Day 75: Executive Check-In**
- [ ] VP/Director involvement
- [ ] Commitment to resolution
- [ ] Timeline for improvement
**Day 60: Renewal Conversation**
Only if health improving:
- Acknowledge challenges
- Show commitment to success
- Flexible terms if needed
**Day 45: Negotiation**
Options to consider:
- Short-term renewal (6 months)
- Reduced scope/price
- Success-based terms
**Day 30: Decision Point**
If not improving:
- Prepare for potential churn
- Discuss graceful exit options
- Maintain relationship
**Expected Outcomes:**
- Save rate: 40-50%
- Full renewal: 25%
- Reduced renewal: 15%
- Churn: 50-60%
Input:
Q2 Renewals:
- 10 accounts, $1.2M ARR total
Health distribution:
- Green: 4 accounts ($500K)
- Yellow: 3 accounts ($400K)
- Orange: 2 accounts ($200K)
- Red: 1 account ($100K)
Output:
## Q2 Renewal Forecast
### By Health Segment
| Health | Accounts | ARR | Prob | Forecast |
|--------|----------|-----|------|----------|
| 🟢 Green | 4 | $500K | 95% | $475K |
| 🟡 Yellow | 3 | $400K | 80% | $320K |
| 🟠 Orange | 2 | $200K | 50% | $100K |
| 🔴 Red | 1 | $100K | 25% | $25K |
| **Total** | **10** | **$1.2M** | | **$920K** |
### Forecast Summary
- **Base Forecast:** $920K (77% of total)
- **At Risk:** $280K (23% of total)
- **Expected Churn:** $280K
### Scenario Analysis
| Scenario | Retention | ARR |
|----------|-----------|-----|
| Best Case | 90% | $1.08M |
| Base Case | 77% | $920K |
| Worst Case | 60% | $720K |
### Actions to Improve
**To reach 85% retention ($1.02M):**
1. Convert 1 Yellow → Green (+$20K)
2. Save 1 Orange account (+$100K)
3. Maintain Green at 95%
**Priority Actions:**
| Account | Health | ARR | Action |
|---------|--------|-----|--------|
| OrangeCo #1 | 🟠 | $120K | Executive save plan |
| OrangeCo #2 | 🟠 | $80K | Success intervention |
| RedCorp | 🔴 | $100K | Last-resort save or exit |
churn-prediction - Risk identificationaccount-health - Health scoringexpansion-signals - Expand at renewalqbr-preparation - Pre-renewal QBRまだレビューはありません。使ってみた感想をお寄せください。
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
日本語の概要は準備中です。原文の説明を表示しています。
Assess customer account health using product usage, support sentiment, payment status, and relationship signals
日本語の概要は準備中です。原文の説明を表示しています。
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
日本語の概要は準備中です。原文の説明を表示しています。
Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
日本語の概要は準備中です。原文の説明を表示しています。