AppSkale is a powerful analytics platform specifically designed for Apple Search Ads, enabling app developers to precisely track conversions and optimize their Return on Ad Spend (ROAS). It eliminates guesswork by providing granular, keyword-level LTV and revenue data, ensuring that ad budgets are allocated to campaigns that drive real subscriptions and long-term value, rather than just installs.

The platform targets app developers and marketers who run Apple Search Ads campaigns and utilize RevenueCat for subscription management, seeking to maximize ad efficiency and gain deep insights into user acquisition profitability.

Key Features

• Keyword-Level LTV & Revenue Data: See exactly which keywords generate paying users and real revenue.
• Real-Time Conversion Tracking: Monitor performance as purchases happen, with data updating instantly.
• Country-Specific Keyword Performance: Understand which keywords perform best in different regions for targeted scaling.
• Automated RevenueCat Integration: Automatically attribute every subscription back to its specific keyword, campaign, and country.
• Cohort Retention Tracking: Analyze user retention by cohort to understand long-term value.
• AI-Powered Recommendations: Leverage machine learning for keyword performance forecasts and scaling suggestions.

Use Cases

AppSkale is invaluable for app developers struggling to identify profitable keywords. It eliminates manual spreadsheet work by automatically matching Apple Search Ads data with RevenueCat transactions, providing instant, accurate LTV and ROAS metrics. This allows users to quickly identify and scale high-performing keywords while pausing underperforming ones, optimizing ad spend for maximum profitability across different countries.

Developers can gain granular insights into 30-day LTV by keyword, 90-day LTV by country, or revenue from specific campaigns without complex formulas. This empowers data-driven decisions, ensuring marketing spend is always directed towards the most profitable channels and regions, transforming ad spend into real, attributable revenue.

Pricing Information

AppSkale offers a flexible pricing structure including a Free plan for ad spends up to $2k/month, a Pro plan at $129/month for up to $15k/month ad spend, and an Enterprise plan for higher volumes with custom pricing. A 14-day free trial with full feature access is available, requiring no credit card to start, allowing users to experience real attribution data firsthand.

User Experience and Support

The platform boasts a quick setup, with core integrations taking as little as 20 minutes. Users connect their Apple Search Ads and RevenueCat accounts, guided through the technical setup. It is GDPR compliant and ISO27001 certified, ensuring data security. Support includes email assistance, with priority and dedicated options for higher tiers, alongside comprehensive setup documentation and video guides.

Technical Details

AppSkale integrates directly with Apple Search Ads for campaign data and RevenueCat for subscription transactions. It requires the installation of an SDK within the user's app and configuration of a RevenueCat webhook to enable real-time, keyword-level revenue attribution. The platform utilizes machine learning models to provide advanced insights, forecasts, and scaling recommendations.

Pros and Cons

• Pros: Keyword-level LTV and ROAS, real-time data, automated RevenueCat integration, country-specific performance insights, AI-driven recommendations, GDPR & ISO27001 compliant, 14-day free trial.
• Cons: Requires SDK installation and app update, initial setup might involve some technical steps, dependency on RevenueCat for subscription data.

Conclusion

AppSkale provides an essential competitive advantage for app developers, transforming Apple Search Ads management from guesswork to data-driven precision. By revealing exactly which keywords drive profitable subscriptions, it enables intelligent scaling and significant ROI improvements. Get started free today to unlock your app's true growth potential.