Sensor Tower is expanding from iOS to Android App Store Optimization.
New features include Google Play Top Charts and App Profile Pages, accessible via the Rankings menu.
The Android ASO module (beta) allows tracking keyword ranks by adding an app.
It shows Traffic Score, Difficulty Score, number of apps, and rank.
For example, Clash of Clans keywords are displayed.
The company promises future updates and tutorials.
This guide explains how to use Sensor Tower's Keyword Rankings feature for App Store Optimization. It covers adding apps, tracking keywords, interpreting ranking data, and managing keywords to improve app visibility.
Instagram deep links route users to apps, but Instagram's walled garden often breaks them. AppsFlyer's OneLink provides deferred deep linking, attribution, and branded landing pages to fix this, making Instagram a measurable growth channel.
This guide teaches beginners iOS App Store keyword optimization in 30 minutes. It covers brainstorming, relevance, research, choosing keywords based on difficulty scores, tracking, and testing. Emphasizes low-cost, long-term download gains.
The Review Analysis module mines app reviews for keywords, highlighting trends and sentiment. It helps find new, relevant keywords easily, such as 'elixir', with low competition and high traffic. Testing is crucial to optimize keyword lists for better visibility and downloads.
High email CTR but low app conversion indicates a broken link handoff, not campaign flaws. ESP tracking redirects strip deep link context, causing app opens to miss targeted screens. Fixing the infrastructure layer restores intent, doubling purchase rates.
App categorization, though less crucial than keywords or icons, aids discoverability. Choose relevant categories, favor less competitive ones using leaderboards. Always align with Apple's definitions to avoid rejection.
The article compares the scientific method to app store optimization (ASO), guiding developers to improve search rankings through systematic experimentation. It emphasizes asking specific questions, forming hypotheses, researching keywords, testing via app updates, and analyzing results. By iterating this process, developers can replicate success and make data-driven decisions. The approach parallels Galileo's methods, encouraging continuous improvement in ASO and beyond.
Mobile app analytics help track user behavior, measure engagement, and optimize app performance. Avoid vanity metrics; focus on retention and lifetime value. Popular tools include Flurry, Google Analytics, and Mixpanel.
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