KlivvrAnalyticsKit

Master techniques for debugging analytics implementations in iOS apps, from real-time event inspection to automated validation and production monitoring.

Establish data quality practices for mobile analytics, including validation, monitoring, testing, and governance to maintain trustworthy analytics data.

Learn how to transform raw analytics data into product decisions by defining KPIs, building dashboards, and establishing analysis workflows for mobile apps.

Develop a cohesive analytics strategy that spans iOS, Android, web, and backend platforms, ensuring consistent measurement and cross-platform user journeys.

Optimize your analytics SDK to minimize battery drain, network consumption, and CPU overhead on iOS devices with practical Swift techniques.

Learn how to implement robust A/B testing in iOS apps using analytics SDKs, covering experiment design, variant assignment, and statistical analysis.

Trace the full journey of analytics data from event creation on an iOS device through ingestion, processing, storage, and visualization on dashboards.

Implement privacy-compliant analytics in iOS apps, covering GDPR requirements, Apple's App Tracking Transparency framework, and consent management patterns.

Learn proven event tracking patterns for mobile analytics, including naming conventions, property schemas, and type-safe tracking APIs in Swift.

Explore the key architectural decisions behind building a robust analytics SDK for iOS, from event queuing to network strategies and modular design.