Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Build and execute customer retention strategies for a solopreneur business. Use when reducing churn, improving customer lifetime value, building loyalty programs, re-engaging inactive users, or creating retention-focused product and communication strategies. Covers churn analysis, retention cohorts, lifecycle marketing, win-back campaigns, and loyalty mechanics. Trigger on "customer retention", "reduce churn", "keep customers", "improve retention", "churn rate", "customer loyalty", "win-back campaign".
Build and execute customer retention strategies for a solopreneur business. Use when reducing churn, improving customer lifetime value, building loyalty programs, re-engaging inactive users, or creating retention-focused product and communication strategies. Covers churn analysis, retention cohorts, lifecycle marketing, win-back campaigns, and loyalty mechanics. Trigger on "customer retention", "reduce churn", "keep customers", "improve retention", "churn rate", "customer loyalty", "win-back campaign".
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. 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. Summarize what changed and any follow-up checks I should run.
Retention is the foundation of sustainable growth. It costs 5-7x more to acquire a new customer than to keep an existing one. For solopreneurs, improving retention by even 5% can dramatically increase lifetime value and profitability. This playbook shows you how to measure, understand, and improve retention systematically.
You can't improve what you don't measure. Start by calculating your retention and churn rates. Key metrics: Churn Rate (monthly): Churn Rate = (Customers Lost in Month / Customers at Start of Month) ร 100 Example: Started month with 100 customers, lost 5 โ 5% churn rate Retention Rate (monthly): Retention Rate = 100% - Churn Rate Example: 5% churn = 95% retention Cohort Retention: Track what % of customers stick around after 1 month, 3 months, 6 months, 12 months. Example: Jan Cohort (100 customers signed up in Jan): Month 1: 90 still active (90% retention) Month 3: 75 still active (75% retention) Month 6: 65 still active (65% retention) Month 12: 55 still active (55% retention) Benchmarks (SaaS): Healthy: Monthly churn < 5%, 12-month retention > 70% Needs work: Monthly churn 5-10%, 12-month retention 50-70% Critical: Monthly churn > 10%, 12-month retention < 50% Where to track: Your payment processor (Stripe, Paddle), CRM, or manual spreadsheet for small customer counts.
Churn has patterns. Identify the top reasons so you can address them systematically. How to find out why:
When someone cancels, ask them why (1-2 questions max): "We're sorry to see you go. What's the main reason you're canceling?" - Not using it enough - Too expensive - Missing a feature I need - Found a better alternative - Product didn't deliver expected value - Other: [text field]
If a customer paying $100+/month cancels, reach out personally: "Hey [Name], saw you canceled. Totally understand if the timing isn't right. Would you be open to a 10-min call? I'd love to understand what wasn't working so we can improve for future customers."
Look at customers who churned vs. those who stayed. What's different? Did churned customers have lower usage in their first 30 days? Did they skip onboarding steps? Did they have a specific profile (industry, company size, use case)? Common churn reasons and what they tell you: "Not using it enough" โ Onboarding problem or product didn't fit their workflow "Too expensive" โ Pricing/value mismatch or they didn't see ROI "Missing a feature" โ Product gap (track which features are requested most) "Found a better alternative" โ Competitive positioning issue "Didn't deliver expected value" โ Product-market fit problem or messaging mismatch
Different stages require different retention tactics.
Goal: Get them to activation (see customer-onboarding skill) Tactics: Welcome email sequence (see email-marketing skill) In-app onboarding flow (tooltips, checklists) Quick win template or tutorial Proactive check-in (automated or manual): "How's it going? Need help?" Why this matters: Most churn happens in the first 30 days. Fix onboarding, fix half your churn.
Goal: Turn them into regular users Tactics: Usage-triggered emails: "You haven't logged in in 7 days โ here's what you're missing" Feature discovery emails: "Did you know you can [do X]?" Weekly/monthly usage reports: "Here's what you accomplished this month" Engagement loops: In-app notifications for new content, features, or milestones Metric to track: Weekly Active Users (WAU) or Monthly Active Users (MAU). Engaged users don't churn.
Goal: Keep delivering value, prevent complacency Tactics: Product updates and new features (show you're actively improving) Customer success check-ins: Quarterly email or call for high-value customers Exclusive content or community access (make them feel special) Cross-sell or upsell: "Based on how you're using X, you might benefit from Y" Metric to track: NPS (Net Promoter Score) โ are they likely to recommend you?
Goal: Win them back before they churn Tactics: Re-engagement email campaign (see Step 4) Personal outreach (if high-value): "Noticed you haven't been active โ everything okay?" Special offer or discount (last resort): "We'd love to keep you โ here's 30% off next month" Trigger: User hasn't logged in for 30 days, or usage dropped 50%+ from baseline.
For users who've gone inactive but haven't canceled yet, a re-engagement campaign can bring them back. Re-engagement email sequence (3-5 emails over 14 days): EMAIL 1 (Day 0): "We miss you!" Subject: "Still getting value from [Product]?" Body: Acknowledge they've been away. Ask if something's blocking them. Offer help. EMAIL 2 (Day 3): "Here's what you're missing" Subject: "3 things you can do with [Product] this week" Body: Share quick wins or new features. Reframe the value. EMAIL 3 (Day 7): "One-click back in" Subject: "Your account is ready โ pick up where you left off" Body: Direct link to their account or a specific feature. Remove friction to re-engage. EMAIL 4 (Day 10): "Can we help?" Subject: "What's one thing we could do better?" Body: Ask for feedback. Make them feel heard. Offer a call or direct message. EMAIL 5 (Day 14): "Last call" Subject: "We don't want to see you go" Body: Mention upcoming cancellation (if auto-renewing). Offer a discount or pause option. Response rate: 5-15% of inactive users will re-engage from a well-designed campaign.
Loyal customers stay longer, spend more, and refer others. Build loyalty proactively. Loyalty tactics: TacticHowWhen to UseLoyalty programPoints or rewards for usage, referrals, or tenureB2C or high-volume B2BVIP tierExclusive access to features, content, or communityWhen you have 100+ customersAnnual discounts20-30% off for committing to annual vs monthlySaaS, subscriptionsCustomer advisory boardInvite top customers to give feedback and shape the roadmapB2B, high-touchSurprise and delightSend unexpected value (free month, gift, handwritten note)High-value customers What builds loyalty most: Delivering consistent value + listening to feedback + treating them like partners, not transactions.
Test these to see what moves the retention needle for your business: Experiment 1: Onboarding call for new customers Hypothesis: Personal touch in first week increases activation and retention Test: Offer 15-min onboarding call to 50% of new signups Measure: 30-day retention rate (call group vs no-call group) Experiment 2: Usage milestone celebrations Hypothesis: Celebrating progress builds emotional investment Test: Send automated email when user hits milestones ("You've completed 10 projects!") Measure: Do users with milestone emails have higher 90-day retention? Experiment 3: Pause option instead of cancel Hypothesis: Offering a pause (1-3 months) instead of cancel reduces churn Test: Add "Pause my account" button on cancellation page Measure: How many choose pause vs cancel? Do paused users return? Experiment 4: Quarterly check-in for high-value customers Hypothesis: Proactive check-ins catch issues before churn Test: Email or call top 20% of customers quarterly to ask how it's going Measure: Churn rate of check-in group vs no-check-in group
Monthly retention review (15 min): Churn rate this month vs last month (trending up or down?) Cohort retention (are recent cohorts retaining better or worse?) Top 3 churn reasons this month Which retention experiments are running? Any results yet? One action to improve retention this month Leading indicators (predict future churn): Declining usage (logins, actions per session) Support tickets with frustrated tone Not opening emails (disengaging from communication) Failed payment attempts (passive churn) If you see these signals, intervene before they cancel.
Only focusing on acquisition. New customers don't matter if they all churn in 3 months. Retention > acquisition for sustainable growth. Not measuring churn by cohort. Overall churn rate hides patterns. Cohort analysis reveals whether you're getting better or worse over time. Waiting until they cancel to act. By then it's too late. Catch at-risk users while they're still customers. Ignoring low-engagement users. Low engagement = future churn. Re-engage them proactively. Not asking why people churn. If you don't know why, you can't fix it. Always run exit surveys or interviews. Treating all customers the same. High-value customers deserve more attention (personal check-ins, dedicated support). Don't over-automate at the high end.
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Largest current source with strong distribution and engagement signals.