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.
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.
Adjust has expanded store detection and verification across multiple app storefronts, making Store Type the primary dimension for identifying where an install originated rather than relying on platform or OS alone. For ad ops teams, this means campaign performance can now be analyzed at the store level across Huawei AppGallery, Xiaomi GetApps, Samsung Galaxy Store, Vivo Appstore, and Google Play variants, with independent verification of install origin. Newly detected stores are flagged in AppView with a direct route to configuration, and store-level data flows automatically into reporting, raw data, callbacks, and CSV exports, plus Conversion Rules via Store Rule conditions.
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.
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.
Japan's finance app category is outperforming, with H1 2026 installs up 8% YoY and sessions up 40%—nearly 5x the install growth and well ahead of global figures (5% and 29%). Stock trading is the standout subvertical: installs +90% YoY and average session length climbing to 11.7 minutes, driven by NISA reforms and a retail investor resurgence. Retention is improving across the full 30-day curve (D1 17% to 19%, D30 7% to 8%). For ad ops teams, the takeaway is clear: prioritize measurement depth, re-engagement, and channel-level quality over top-of-funnel volume alone.
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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