monetization

MONETIZATION - From Product to Revenue

Overview

Monetization strategy and implementation for digital products - Stripe, subscriptions, pricing experiments, freemium, upgrade flows, churn prevention, revenue optimization and SaaS business models. Activate to: integrate Stripe, create subscription plans, pricing strategy, upgrade/downgrade, payment webhook, free trial, churn, LTV/CAC, unit economics, business model.

When to Use This Skill

When you need specialized assistance with this domain

Do Not Use This Skill When

The task is unrelated to monetization
A simpler, more specific tool can handle the request
The user needs general-purpose assistance without domain expertise

How It Works

Price is what you pay. Value is what you get. - Warren Buffett Perfect monetization captures value proportional to the value delivered.

The Golden Rule

Users pay when:

The product solves a real problem (need)
The solution is better than alternatives (differentiation)
The price is perceived as fair (value perception)
The moment of charging is natural (timing)

Classic Mistakes

Charging before showing value (kill activation)
Price too low (signals low quality)
Too many plans (choice paralysis)
Trial without a credit card (low conversion)
Invisible churn (no imminent cancellation alerts)

Initial Setup

pip install stripe

## Ou

npm install stripe


## Config.Py

import stripe
import os

stripe.api_key = os.environ["STRIPE_SECRET_KEY"]
STRIPE_WEBHOOK_SECRET = os.environ["STRIPE_WEBHOOK_SECRET"]

PLANS = {
    "free": None,
    "pro": os.environ["STRIPE_PRICE_PRO"],
    "business": os.environ["STRIPE_PRICE_BIZ"],
}

Create Customer And Subscription

def create_customer(email: str, name: str, user_id: str) -> str:
    customer = stripe.Customer.create(
        email=email,
        name=name,
        metadata={"user_id": user_id}
    )
    return customer.id

def create_subscription(customer_id: str, price_id: str, trial_days: int = 14):
    subscription = stripe.Subscription.create(
        customer=customer_id,
        items=[{"price": price_id}],
        trial_period_days=trial_days,
        payment_behavior="default_incomplete",
        expand=["latest_invoice.payment_intent"],
    )
    return {
        "subscription_id": subscription.id,
        "client_secret": subscription.latest_invoice.payment_intent.client_secret,
        "status": subscription.status
    }

Checkout Session (Recommended For Conversion)

def create_checkout_session(
    customer_id: str,
    price_id: str,
    success_url: str,
    cancel_url: str,
    trial_days: int = 14
) -> str:
    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

Customer Portal (Self-Service)

def create_portal_session(customer_id: str, return_url: str) -> str:
    session = stripe.billing_portal.Session.create(
        customer=customer_id,
        return_url=return_url,
    )
    return session.url

Webhook - Process Events

from fastapi import Request, HTTPException
import stripe

async def stripe_webhook(request: Request):
    payload = await request.body()
    sig_header = request.headers.get("stripe-signature")

    try:
        event = stripe.Webhook.construct_event(
            payload, sig_header, STRIPE_WEBHOOK_SECRET
        )
    except ValueError:
        raise HTTPException(status_code=400, detail="Invalid payload")
    except stripe.error.SignatureVerificationError:
        raise HTTPException(status_code=400, detail="Invalid signature")

    handlers = {
        "customer.subscription.created": handle_subscription_created,
        "customer.subscription.updated": handle_subscription_updated,
        "customer.subscription.deleted": handle_subscription_deleted,
        "invoice.payment_succeeded": handle_payment_succeeded,
        "invoice.payment_failed": handle_payment_failed,
        "customer.subscription.trial_will_end": handle_trial_ending,
    }

    handler = handlers.get(event["type"])
    if handler:
        await handler(event["data"]["object"])

    return {"status": "ok"}

Check Subscription Status

def get_subscription_status(customer_id: str) -> dict:
    subscriptions = stripe.Subscription.list(
        customer=customer_id,
        status="all",
        limit=1
    )
    if not subscriptions.data:
        return {"tier": "free", "status": "none"}

    sub = subscriptions.data[0]
    return {
        "tier": get_tier_from_price(sub.items.data[0].price.id),
        "status": sub.status,
        "trial_end": sub.trial_end,
        "current_period_end": sub.current_period_end,
        "cancel_at_period_end": sub.cancel_at_period_end,
    }

Pricing Framework For Saas

Method 1: Value-Based Pricing (Recommended)

1. Calcule o valor economico entregue ao usuario
   Ex: produto economiza 2h/semana = R$ 200/mes de valor
2. Capture 10-30% do valor criado
   Ex: R$ 29/mes = 14% do valor
3. Valide com pesquisa de willingness-to-pay
4. Teste 3 price points (A/B test)

Method 2: Competitive Anchor

Referencia: ChatGPT Plus = $20/mes (R$ 100)
Anchor: Notion = R$ 32/mes
Posicao: Pro = R$ 29/mes (mais barato que ChatGPT, similar ao Notion)
Mensagem: Tudo que o ChatGPT faz, por voz no Alexa

Pricing Psychology

R$ 29/mes (nao R$ 30 - efeito do digito esquerdo)
Plano anual com desconto claro: R$ 249/ano (economize R$ 99)
Destaque no plano que voce quer vender (visual hierarchy)
Ancoragem: mostra o plano caro primeiro
Trial sem cartao para ativacao, com cartao para retencao
Badge Mais popular no plano middle

Plan Structure (3 Is The Right Number)

Feature	Free	Pro	Business
Price	Free	R$ 29/month	R$ 99/month
Conversations/month	50	Unlimited	Unlimited
Memory	7 days	1 year	Permanent
Expert board	No	Yes	Yes
Multi-user	No	No	Up to 10
API access	No	No	Yes
Support	No	Email	Priority

Signs Of Imminent Churn

CHURN_SIGNALS = {
    "high_risk": [
        "nao logou nos ultimos 14 dias",
        "uso caiu >70% em 2 semanas",
        "abriu cancelamento mas nao concluiu",
        "ticket de suporte aberto sem resolucao",
    ],
    "medium_risk": [
        "nao logou em 7 dias",
        "uso caiu >40%",
        "nao completou onboarding",
        "nunca usou feature core",
    ]
}

Anti-Churn Sequence

Dia 0:  Usuario nao usa por 7 dias
        -> Email: Sentimos sua falta. O que aconteceu?

Dia 3:  Sem resposta
        -> Push/Email: case study de usuario similar com sucesso

Dia 7:  Nao voltou
        -> Email: oferta especial (20% off por 3 meses)

Dia 14: Trial expirando
        -> In-app modal + email urgente: Sua conta vai dormir em 3 dias

Dia 30: Cancelou
        -> Offboarding email: Lamentamos ver voce ir.
        -> 3 meses depois: reativacao com novidades

Exit Survey (Mandatory)

CANCELLATION_REASONS = [
    "Muito caro",
    "Nao uso o suficiente",
    "Falta funcionalidade X",
    "Encontrei alternativa melhor",
    "Problemas tecnicos",
    "Outro"
]

## Falta Feature -> Roadmap + Notificacao Quando Lancar

Essential Calculations

def calculate_unit_economics(
    mrr: float,
    customers: int,
    new_customers: int,
    churned: int,
    cac_total: float,
):
    arpu = mrr / customers
    churn_rate = churned / customers
    ltv = arpu / churn_rate
    cac = cac_total / new_customers
    ltv_cac = ltv / cac
    months_to_recover_cac = cac / arpu

    return {
        "ARPU": f"R$ {arpu:.2f}",
        "Churn Rate": f"{churn_rate*100:.1f}%",
        "LTV": f"R$ {ltv:.0f}",
        "CAC": f"R$ {cac:.0f}",
        "LTV/CAC": f"{ltv_cac:.1f}x",
        "Payback": f"{months_to_recover_cac:.1f} meses",
        "Status": "Saudavel" if ltv_cac > 3 else "Otimizar"
    }

SaaS B2C Brazil Benchmarks

Metric	Poor	OK	Good	Excellent
Monthly Churn	>7%	5-7%	2-5%	<2%
LTV/CAC	<1x	1-3x	3-5x	>5x
Payback	>18m	12-18m	6-12m	<6m
Trial->paid conversion	<3%	3-8%	8-15%	>15%
MoM Growth	<5%	5-10%	10-20%	>20%

Revenue Dashboard (Daily Metrics)

MRR atual: R$ XX.XXX
  New MRR (novos assinantes): +R$ X.XXX
  Expansion MRR (upgrades): +R$ XXX
  Contraction MRR (downgrades): -R$ XXX
  Churned MRR (cancelamentos): -R$ XXX
  Net New MRR: +/- R$ XXX

ARR (Annualized): R$ XX.XXX x 12
Churn Rate: X.X%
Net Revenue Retention: XXX% (meta: >100%)

Revenue Automation With Stripe

async def check_usage_and_upsell(user_id: str, usage: dict):
    if usage["conversations_this_month"] >= 45:
        await send_upgrade_prompt(
            user_id=user_id,
            message="Voce esta usando 90% do seu limite. Faca upgrade para Pro.",
            cta_url=f"/upgrade?utm=usage-limit"
        )

7. Quick Commands

Command	Action
/stripe-setup	Configures Stripe from scratch
/pricing-analysis	Analyzes current pricing strategy
/churn-playbook	Personalized anti-churn sequence
/unit-economics	Calculates LTV/CAC and financial health
/upgrade-flow	Upgrade flow design
/revenue-dashboard	Revenue dashboard template
/trial-optimization	Optimizes trial conversion

Best Practices

Provide clear, specific context about your project and requirements
Review all suggestions before applying them to production code
Combine with other complementary skills for comprehensive analysis

Common Pitfalls

Using this skill for tasks outside its domain expertise
Applying recommendations without understanding your specific context
Not providing enough project context for accurate analysis

Related Skills

analytics-product - Complementary skill for enhanced analysis
growth-engine - Complementary skill for enhanced analysis
product-design - Complementary skill for enhanced analysis
product-inventor - Complementary skill for enhanced analysis

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.