Accelerate Digital Product Growth
A growth-engine playbook for digital products: AARRR metrics, SEO/ASO, viral loops, and launch strategy.
Why it matters
Drive exponential growth for digital products by implementing comprehensive strategies across SEO, ASO, viral loops, email marketing, and organic acquisition.
Outcomes
What it gets done
Develop and execute technical SEO strategies for landing pages.
Optimize app store presence (ASO) for increased visibility.
Design and implement viral loops and referral programs.
Create targeted email marketing sequences for user onboarding and retention.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-growth-engine | bash Overview
GROWTH-ENGINE -- Crescimento Exponencial
A growth-engine playbook for digital products built on the AARRR pirate-metrics framework, covering SEO, app-store optimization, viral loops, email sequences, and launch planning. Use it when creating a growth strategy, SEO or ASO optimization, a referral program, viral-coefficient projections, or a launch campaign.
What it does
A growth-engine playbook for digital products covering growth hacking, technical SEO, app or skill store optimization (ASO), viral loops, email marketing, CRM, referral programs, and organic acquisition. It's built around the Pirate Metrics (AARRR) framework, worked through a running voice-assistant product example: acquisition (a visitor-to-signup funnel via SEO, Product Hunt, tech influencers, and PR), activation (the percentage completing a first meaningful interaction within 24 hours), retention (day-7/30/90 return rates), revenue (trial-to-paid conversion, MRR, ARPU, LTV), and referral (NPS, viral coefficient, referrals per user).
def calculate_k_factor(percent_who_invite, invites_per_user, conversion_rate):
k = percent_who_invite * invites_per_user * conversion_rate
It covers landing-page SEO (title, meta, and OG tags, a JSON-LD SoftwareApplication schema), keyword tiers (high-intent, informational, long-tail), app or skill-store metadata optimization (invocation name, short and long description, example phrases, keywords), three viral-loop types - organic word-of-mouth, a "share this insight" mechanic, and a referral program with a concrete incentive - a viral-coefficient (K-factor) calculator with status bands from viral growth at K of 1 or above down to slow growth below 0.2, a seven-day onboarding email sequence (welcome, activation nudge, education, upsell, reactivation), and a product-launch playbook covering pre-launch asset preparation and early-adopter recruitment, launch-day channel sequencing, and a positioning tagline.
When to use - and when NOT to
Use it when creating a growth strategy, technical SEO, app-store optimization, a referral program, email marketing sequences, viral-coefficient projections, an acquisition funnel, organic-growth content, or launch campaigns.
Inputs and outputs
Input: a digital product needing a growth strategy, SEO audit, ASO metadata, or launch plan. Output: an AARRR metrics framework with targets, SEO and schema markup, ASO metadata, a viral-loop design with K-factor projection, an email onboarding sequence, or a full launch plan - triggered via commands like /growth-audit, /seo-analysis, /aso-optimize, /viral-loop, /email-sequence, /launch-plan, and /referral-program.
Integrations
Delegates to sibling skills analytics-product, monetization, product-design, and product-inventor for adjacent growth-strategy work.
Who it's for
Founders and growth marketers launching or scaling a digital product who want a structured AARRR-based playbook rather than ad hoc tactics.
Its launch-day sequencing is concrete: post the product on X with an impressive demo and the launch-platform link at midnight Pacific time, email the entire waitlist that the launch is live, message relevant tech communities on Telegram or Discord, and stay online all day responding to every comment. The week before launch calls for briefing influential hunters, preparing a 60-second demo video and screenshots, warming up the audience with problem-focused posts, and recruiting around 50 early adopters to upvote at launch.
FAQ
Common questions
Discussion
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