Summary
This blog post categorizes the best articles from the archive into sections like App Store Optimization (Apple and Google Play), app naming, pricing, design, localization, review analysis, user engagement, and online/offline marketing. It provides actionable tips on selecting keywords, avoiding common mistakes, using screenshots effectively, localizing for global audiences, and leveraging tools like Sensor Tower. The goal is to help developers navigate the overwhelming amount of information and find targeted advice to boost app visibility and downloads.
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SensorTowerThe Complete Beginner's Guide To iOS App Store Optimization
A guide to iOS App Store Optimization covering eight components: keyword, title, screenshot, icon, description, pricing, review optimization, and localization. Includes tips for tracking keywords, A/B testing screenshots, and getting reviews.
SensorTowerHow We Associate Corresponding Apps In Apple iTunes And Google Play
This article explains the technical process of associating iOS and Android apps across stores using name comparison, bigram search, and perceptual hashing of icons to ensure accurate matching.
AdjustMeasure installs across more app stores | Adjust
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.
SensorTowerHow To Test New App Ideas Without Writing A Single Line Of Code
Before building an app, research market demand by checking top charts for similar apps. Create a landing page with email opt-in to gauge interest, drive traffic, and test features. If you hit your target sign-ups, proceed; otherwise, scrap the idea.
AdjustJapan’s finance app growth in 2026 | Adjust
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.
SensorTower7 Simple And Effective Tips To Enhance App Monetization
Monetization is crucial for app success. Balance ad frequency with user experience, use native ads, test different strategies per store, avoid banners, shorten ad funnels, and consider subscription or donation models.
SensorTowerDoes Your App Make The Grade? Find Out Here
Sensor Tower homepage now shows app ratings, grades, and scores like Sensor, Visibility, and Internationalization. Use it to evaluate your app or competitors, like Clash of Clans (A+) or Chase Mobile (C).
AdjustIntroducing the Device Usage dashboard | Adjust
Adjust's Device Usage dashboard in Datascape gives ad ops teams a prebuilt view of how active users are distributed across app versions, OS versions, SDK versions, and iOS ATT status, plus dimensions like device type, country, language, and date. The core insight is that release impact can lag because users update over days or weeks; segmenting DAU by version explains flat or shifting metrics. Teams can track SDK and app-version adoption, compare OS behavior, identify stale versions, and add device/country context to performance analysis. Actionable takeaway: use the dashboard before and after releases or SDK rollouts to validate adoption, isolate version-specific issues, and contextualize attribution and engagement trends.
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