📦 Install

clawhub install aso-playbook

What you get after installing:

• Keyword research methodology for finding low-competition, high-intent terms
• Screenshot hypothesis and message-hierarchy framework
• A/B testing and evidence-capture framework for iOS and Android

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App Store Optimization Basics — Keywords, Screenshots & Ratings

🌍 Language / 语言: 中文 | English | 日本語 | 한국어

The fundamentals of ASO for developers who'd rather build than market — but need downloads.

• Keyword research: Finding low-competition, high-intent keywords for your category
• Screenshot optimization: Turn user intent into testable screenshot hypotheses
• Rating strategy: How to ask for reviews without annoying users
• Localization basics: Which markets to target first and how to test
• A/B testing: What to test, how long to run, and interpreting results

Minimum viable ASO workflow

1. Export the last 28 days by country and traffic source: impressions, product-page views, first-time downloads, conversion rate, proceeds, D1/D7/D30 retention.
2. Build a keyword sheet with relevance, current rank, search popularity, competition, destination locale and target page.
3. Change one variable family at a time: metadata, icon, first three screenshots, preview video, rating prompt or localization.
4. Record the exact before/after version, release date, storefront and external UA activity.
5. Keep a test only when conversion improves without a material decline in retained users, rating quality or revenue.

Evidence gate

Do not claim an ASO win from downloads alone. A valid case needs, at minimum:

• keyword rank or search-impression change;
• impression → product-page-view rate;
• product-page-view → first-time-download rate;
• D7 or D30 retained-user outcome;
• dates, storefronts, app version and paid-campaign overlap.

No controlled Gingiris App Store before/after dataset is bundled with this skill yet. The workflow is executable; any uplift claim must come from the user's own App Store Connect or Play Console export.

Compliance gate

Never recommend bought ratings/reviews, artificial searches or installs, device/account farms, chart manipulation, or packages intended to evade enforcement. Use official storefront experiments, authentic-user review prompts and transparent paid acquisition. Historical notes that mention black-hat tactics are research records, not execution guidance.

Related Gingiris Skills

• Full version: https://clawhub.ai/gingiris-1031/skills/gingiris-aso-growth
• All skills: https://clawhub.ai/gingiris-1031
• Follow: @WeiYipei on X