Reduce Customer Churn with Targeted Retention Strategies
Designs SaaS cancel flows, dynamic save offers, and dunning strategies to reduce both voluntary and involuntary churn.
Why it matters
Proactively reduce both voluntary and involuntary customer churn by implementing sophisticated cancel flows, dynamic save offers, and effective dunning strategies.
Outcomes
What it gets done
Design and implement effective cancel flows with exit surveys and save offers.
Develop targeted save offers based on customer cancellation reasons.
Set up automated dunning processes for failed payments.
Analyze churn data to optimize existing retention programs.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-churn-prevention | bash Overview
Churn Prevention
Designs SaaS cancel flows, dynamic save offers matched to specific cancellation reasons, and dunning strategies for failed payments, covering both voluntary churn (cancel flows, exit surveys, offers) and involuntary churn (retries, card updaters, dunning emails). Use it when churn is rising, when designing or optimizing a cancel flow or dunning sequence, or when the goal is reducing voluntary or involuntary churn specifically. Gathers current churn rate, billing platform, and usage-data context before designing anything.
What it does
Churn Prevention helps reduce both voluntary churn (customers choosing to cancel) and involuntary churn (failed payments) through cancel flow design, dynamic save offers, and dunning strategy. It first gathers context on the current churn situation (monthly churn rate, voluntary vs. involuntary split, active subscribers, MRR), billing platform (Stripe, Chargebee, Paddle, Recurly, Braintree, plus any retention tooling like Churnkey, ProsperStack, or Raaft), product/usage data (feature usage tracking, engagement drop-off signals, past cancellation reasons, activation metric), and constraints (B2B vs. B2C, self-serve cancellation requirements, offboarding tone) - checking for an existing .agents/product-marketing-context.md file before asking questions already answered there.
When to use - and when NOT to
Use it when churn is rising or cancellation behavior needs intervention, when designing a cancel flow, save offers, dunning, or a retention program, or when the goal is specifically to reduce voluntary or involuntary churn. It supports three modes: building a cancel flow from scratch, optimizing an existing flow using cancel data, or setting up dunning for failed-payment recovery. Voluntary churn (customer-initiated) is typically 50-70% of total churn and needs cancel flows/save offers/exit surveys; involuntary churn (30-50%, from failed payments) is often easier to fix with dunning emails, smart retries, and card updaters.
Inputs and outputs
A cancel flow follows a fixed sequence - trigger, exit survey, dynamic save offer, confirmation, post-cancel - with the exit survey (single-select, 5-8 reason options max, most common first, "help us improve" framing) determining which save offer to show. Reasons map directly to offers: "too expensive" gets a 20-30% discount for 2-3 months (never 50%+, which trains cancel-for-deals behavior) or a downgrade fallback; "not using it enough" gets a 1-3 month pause (60-80% of pausers return) or a free onboarding session; "missing a feature" gets a roadmap preview or workaround guide; "switching to a competitor" gets a competitive comparison plus discount; technical issues get escalated to support immediately; a closed/changed business gets no offer at all, out of respect. High-value accounts (top 10-20% by MRR) get personal outreach - a customer success call or a founder email - rather than an automated offer. The skill also documents concrete cancel-flow UI patterns (survey screen, then a matched offer screen with a clear accept/decline path).
Integrations
The skill is billing-platform-aware, factoring in whichever provider (Stripe, Chargebee, Paddle, Recurly, Braintree) and existing retention tooling (Churnkey, ProsperStack, Raaft) is already in place, and designs flows around plan pausing/downgrade support where the platform allows it.
Who it's for
SaaS teams building or optimizing a cancel flow, designing dunning for failed payments, or running a broader retention program, who want offers matched to actual cancellation reasons instead of a one-size-fits-all discount popup.
FAQ
Common questions
Discussion
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