Accelerate Digital Product Growth

GROWTH-ENGINE is a Portuguese-language playbook for digital product growth. It covers organic acquisition, technical SEO, app-store optimization, onboarding, email sequences, referrals, viral loops, launch planning, and growth audits. Its framework follows acquisition, activation, retention, revenue, and referral, with sample measures for each stage. The output can be a growth strategy, funnel analysis, campaign, referral plan, or launch checklist.

Use the material when planning growth work for a digital product, improving an acquisition funnel, drafting an onboarding sequence, or exploring referral mechanics. Keep its use within the growth domain; choose a focused tool when that is sufficient or when general-purpose help is all that is needed. Provide clear project context and review recommendations before production use.

Inputs include the product, audience, current funnel, activation event, business goal, channel, and evidence available. The pirate-metrics example tracks discovery and sign-up, first value, repeat use, conversion to paid plans, and referrals. It includes sample targets for visits, registrations, activation, day-based retention, trial conversion, lifetime value, and viral coefficient. These are presented as product-specific examples in the source, not universal benchmarks.

Calculate a referral viral coefficient with:

def calculate_k_factor(percent_who_invite, invites_per_user, conversion_rate):

The calculator combines the share of users who invite, invitations per user, and conversion rate, then assigns an interpretation to the result. The guide also outlines a seven-day onboarding sequence with welcome, activation, education, and upgrade messages, followed by a later reactivation message. Messages vary by activity: the immediate welcome includes a three-step tutorial, the day-one activation email targets users who have not started, later messages cover education and upgrade, and a reactivation note follows inactivity. A launch plan covers preparation, launch-day communication, and post-launch engagement.

The material addresses search optimization for landing pages, app-store metadata, email marketing, CRM, referral programs, social sharing, Product Hunt, influencer outreach, public relations, and community launch communication. Its example viral loops use word of mouth, shareable insights, and referral incentives. A sample checklist includes page title, description, social metadata, and structured data. Command-style workflows support audits, search analysis, app-store optimization, viral loop design, email sequences, launch plans, and referral programs.

Adapt named product examples and numeric targets to the actual product, then validate assumptions with current customer and funnel data. Combine this playbook with analytics and monetization work when a broader view is needed.

Founders, product marketers, growth practitioners, and product teams can use the material to structure experiments and coordinate product-led acquisition and retention work.