Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Analyze customer data to score churn risk, categorize accounts, and recommend tailored retention actions for proactive customer success management.
Analyze customer data to score churn risk, categorize accounts, and recommend tailored retention actions for proactive customer success management.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions.
Customer success reviews Quarterly retention planning When usage data or support ticket logs are available Proactive outreach prioritization
Ask the user for available data sources: Usage metrics (logins, feature adoption, API calls) Support tickets (frequency, sentiment, resolution time) Billing history (downgrades, late payments, discount requests) Engagement signals (email opens, meeting attendance, NPS scores) If no structured data, work from what the user describes qualitatively.
Apply this risk framework: SignalWeightHigh Risk IndicatorUsage decline (30d)25%>30% dropSupport ticket spike20%2x+ above baselineChampion departure20%Key contact leftContract timing15%<90 days to renewalPayment behavior10%Late/disputed invoicesEngagement drop10%No response to last 3 outreach Score: 0-100 (higher = more likely to churn)
🔴 Critical (75-100): Immediate intervention needed 🟡 At Risk (50-74): Schedule check-in this week 🟢 Healthy (25-49): Monitor monthly 💚 Thriving (0-24): Expansion opportunity
For each at-risk account, suggest specific retention plays: Executive sponsor call Custom success plan Feature training session Pricing review / loyalty offer Roadmap preview (show upcoming value)
Generate a retention report with: Ranked list of accounts by churn risk Top 3 actions per critical account Estimated revenue at risk 30/60/90 day retention calendar
Works with CSV exports, CRM data, or manual input Pair with the AfrexAI Context Packs for industry-specific retention strategies ($47/pack) For a full AI-powered retention system built for your business, try the AI Revenue Calculator to see what you're leaving on the table
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.