Enables product teams to ship features faster and optimize user experiences through comprehensive mobile and web experimentation, feature flagging, and real-time analytics with minimal engineering overhead.
Last updated Feb 8, 2026
Mobile-first experimentation platform competing in the feature management and A/B testing market
Taplytics is a mobile-first experimentation and feature management platform that enables product teams to optimize applications through A/B testing, multivariate testing, and feature flagging. Founded in 2014, the company provides a comprehensive solution for continuous experimentation, allowing developers and product managers to release features incrementally, test hypotheses with real users, and make data-driven decisions to improve user experience and engagement. The platform is particularly focused on mobile applications (iOS and Android) while also supporting web and OTT platforms. While Taplytics operates in the broader MarTech/product optimization space rather than traditional AdTech, it serves as critical infrastructure for companies looking to optimize their digital products through systematic testing and controlled feature rollouts. The company competes with other experimentation platforms like Optimizely, LaunchDarkly, and Split.io, positioning itself with a strong emphasis on mobile-first capabilities and ease of implementation for development teams. Taplytics has established itself as a notable player in the feature management and experimentation market, particularly among mobile-first companies and product teams seeking to implement continuous deployment practices.
Visual editor and code-based A/B testing for mobile and web applications to test variations and optimize user experiences
Feature management system for controlled rollouts, gradual releases, and instant feature toggling without app store submissions
Advanced testing capabilities to experiment with multiple variables simultaneously
Targeted push notification campaigns with A/B testing capabilities
Real-time analytics and reporting dashboard for experiment results and user behavior insights