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Taplytics
Modern A/B Testing Platform for Product and Marketing Teams.

What is Taplytics?

Taplytics provides a robust, cross-platform A/B testing and feature management system tailored for product, engineering, and marketing teams. This platform enables organizations to optimize user experiences and increase revenue across various client and server-side applications, including web, native mobile, and OTT platforms. It facilitates controlled feature rollouts, minimizing deployment risks and accelerating development cycles through flexible SDKs, API options, and deployment choices like private cloud or on-premise solutions.

The system supports both client-side and server-side experimentation, offering enterprise-grade split testing capabilities. It uniquely provides no-code A/B testing options for both web and native mobile applications, alongside AI-driven personalization features. Teams can manage product risks effectively using feature flag segmentation, scheduling, and performance measurement, streamlining the process from code completion to production deployment and incremental feature activation.

Features

  • Cross-Platform A/B Testing: Full-stack A/B testing solution for client or server-side applications (mobile, web, OTT).
  • Feature Flags Management: Control feature rollouts, reduce deployment risk, and improve development time with segmentation, scheduling, and measurement.
  • No-Code A/B Testing: Offers no-code A/B testing for both web and native mobile apps.
  • AI Personalization: Utilizes AI for personalized user experiences.
  • Flexible Deployment: Supports various SDKs, a flexible API, private cloud, or on-premise deployment options.
  • Enterprise-Grade Split Testing: Advanced split testing capabilities for any client-side or server application.

Use Cases

  • Optimizing user experiences on mobile apps.
  • Improving website conversion rates through A/B testing.
  • Safely launching new features using controlled rollouts.
  • Personalizing content and features for different user segments.
  • Reducing engineering time spent on deployment processes.
  • Testing variations on OTT platforms.

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