This tutorial from Sensor Tower explains how to use their Keyword Rankings feature for App Store Optimization. It covers adding a new app by searching its name and selecting keywords to track, either from suggestions or custom terms. Users can interpret results showing estimated traffic, difficulty, and number of competing apps, plus their own ranking.
The guide also covers downloading reports, editing or deleting apps, managing keyword lists with tabs, and viewing historical ranking graphs. The goal is to monitor and optimize keywords to improve app store search visibility and downloads.
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.
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.
Sensor Tower lets you invite team members to access specific apps without sharing passwords. Invite via email, they log in independently, and you can remove them anytime. It streamlines collaboration and account management.
Sensor Tower adds Android features. View Google Play Top Charts and app profiles. Beta Android ASO modules track keyword ranks. Example shows Clash of Clans data. Company works on improvements.
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.
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.
iOS push notifications boost user retention. Implement via services like AppsFire, PushWoosh, or Urban Airship. Start with one notification, gauge response, then add more. Tailor to app type: games can notify events; utility apps can welcome and remind.
A blog can boost organic traffic for your app, but requires time and relevance. Pre-load posts, know your audience, post regularly, use social media, and test promotions.
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