Optimize Digital Product Monetization

This skill covers monetization strategy and implementation for digital products: Stripe integration, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization, and SaaS business-model economics. Its golden rule for when users pay: the product solves a real need, the solution beats alternatives, the price feels fair, and the charge happens at a natural moment - with named classic mistakes to avoid (charging before showing value, pricing too low so it signals low quality, offering too many plans causing choice paralysis, trials with no credit card producing low conversion, and invisible churn with no cancellation warning signals).

Stripe setup covers creating a customer and subscription with a trial period, a checkout session (recommended for conversion, with promotion codes enabled), a self-service customer billing portal, and a webhook handler verifying the Stripe signature and dispatching to handlers for subscription created/updated/deleted, payment succeeded/failed, and trial-ending events.

def create_checkout_session(customer_id, price_id, success_url, cancel_url, trial_days=14):
    session = stripe.checkout.Session.create(
        customer=customer_id,
        mode="subscription",
        line_items=[{"price": price_id, "quantity": 1}],
        subscription_data={"trial_period_days": trial_days},
        success_url=success_url + "?session_id={CHECKOUT_SESSION_ID}",
        cancel_url=cancel_url,
        allow_promotion_codes=True,
    )
    return session.url

Pricing framework covers value-based pricing (capture 10-30% of the calculated economic value delivered, validated via willingness-to-pay research and A/B-tested price points) versus competitive anchoring (position against known reference prices like ChatGPT Plus or Notion), plus pricing psychology (charm pricing like R$29 instead of R$30, a clearly-discounted annual plan, visual hierarchy highlighting the target plan, and anchoring by showing the expensive plan first).

Unit economics: a function computes ARPU, churn rate, LTV (ARPU / churn rate), CAC, LTV/CAC ratio, and months to recover CAC, with Brazilian B2C SaaS benchmarks for monthly churn (good: 2-5%, excellent: under 2%), LTV/CAC (good: 3-5x, excellent: over 5x), CAC payback period, trial-to-paid conversion, and month-over-month growth. A revenue dashboard tracks MRR broken into new/expansion/contraction/churned components, ARR, churn rate, and net revenue retention (target above 100%). A usage-based upsell automation example sends an upgrade prompt when a user nears their plan's usage limit.

Use it when integrating Stripe for subscriptions, designing pricing strategy, building upgrade/downgrade flows, calculating unit economics (LTV/CAC), or designing anti-churn playbooks and revenue dashboards for a SaaS product. Per its own guidance, combine it with complementary skills (analytics-product, growth-engine, product-design) for comprehensive analysis, and review all pricing/billing-code suggestions before applying them to production given the direct revenue and payment-processing impact.

Input is a monetization task: setting up Stripe billing, choosing a pricing strategy, analyzing churn, or calculating unit economics from MRR/customer/churn/CAC figures. Output is working Stripe integration code (customer/subscription creation, checkout session, billing portal, webhook handler), a pricing strategy recommendation, or computed unit-economics metrics (ARPU, LTV, CAC, LTV/CAC ratio, payback period) benchmarked against SaaS industry standards.

Built on the Stripe API (Python/Node SDKs) for customers, subscriptions, checkout sessions, the billing portal, and webhooks, with quick commands (/stripe-setup, /pricing-analysis, /churn-playbook, /unit-economics, /upgrade-flow, /revenue-dashboard, /trial-optimization) for common monetization tasks.

Founders and product/engineering teams building or optimizing a SaaS product's monetization - Stripe billing integration, pricing strategy, churn reduction, and unit-economics tracking.