ConnectWizard
Unlock hidden App Store Connect analytics
App Store Connect only shows a fraction of the data Apple actually collects about your app. ConnectWizard unlocks all 100+ report types — both App Store data and on-device data from your users. Get started with pre-defined stats and pin the ones that matter to you, or dig into the raw data and build your own presets. If your app has a larger user base, you also get detailed framework usage data like how long Live Activities are used or which Shortcuts run or fail.
AI Analysis
ConnectWizard unlocks over 100 hidden report types from App Store Connect, revealing both App Store and on-device user data beyond Apple's limited standard dashboard. Core features include pre-built stats, customizable pinned metrics, raw data exploration for custom presets, and detailed framework insights (e.g., Live Activities usage, Shortcut success rates) for larger apps. It solves the key pain point of incomplete analytics that hinder optimization and decision-making for iOS developers. USP is access to Apple's full collected data via an intuitive interface without complex setup. Overall value: empowers data-driven app improvements, user retention, and growth strategies.
In 2025-2026, iOS ecosystem growth, rising demand for privacy-centric on-device analytics, and Apple's focus on AI/ML features (e.g., Apple Intelligence) that benefit from rich usage data make this highly relevant. Developers face increasing competition in the App Store, driving need for superior insights amid evolving privacy policies (ATT, GDPR). Economic pressures also favor tools that optimize existing apps over new acquisitions. Excellent Timing.
Technical difficulty is medium: requires secure App Store Connect API integration and likely a lightweight SDK for on-device telemetry, with standard web dashboard development. Operation costs are moderate for data storage/processing. Key risks include Apple compliance (data access approvals, privacy) and scalability of SDK adoption. High scalability potential for SaaS model once integrated. Overall rating: Medium due to regulatory and integration dependencies.
Primary users: iOS/macOS app developers, indie hackers, product teams at small-mid size studios (demographics: tech-savvy, 25-45 years old). Industries: mobile apps, games, productivity tools. Geographic: Global with concentration in US, Europe, China. TAM: ~$5-10B mobile analytics market; SAM: $500M+ Apple developer tools; SOM: $20-50M for advanced App Store analytics. Core pains: limited visibility into app performance and user behavior. Willingness to pay: High for subscription tiers yielding ROI via better app performance/revenue.
Medium. Direct competitors: 1. Sensor Tower (sensortower.com), 2. Appfigures (appfigures.com), 3. data.ai (data.ai), 4. AppTweak (apptweak.com). This product differentiates with exclusive access to 100+ Apple hidden/on-device reports and framework-specific metrics (Live Activities, Shortcuts) unavailable elsewhere. Advantages: deeper Apple-native insights, customizable presets. Disadvantages: narrower scope (Apple-only vs. cross-platform), potential need for SDK integration vs. no-code competitors, and less established brand.
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