A cloud-based service that provides tools and infrastructure for running controlled experiments, particularly in software development and web applications. EaaS platforms allow businesses to design, execute, and analyze experiments without setting up and maintaining their own experimentation infrastructure. Key features of EaaS include:
- Experiment design: Tools to define target audiences, allocate traffic, and set experiment parameters.
- Traffic splitting: Mechanisms to divide incoming traffic between the control and treatment groups.
- Data collection: Capturing user interactions and metrics during the experiment.
- Statistical analysis: Evaluating the collected data to determine the outcome of the experiment.
- Integration: Easy integration with existing applications and services.
Some benefits of using EaaS are:
- Faster experimentation: Reduced time and effort to set up and run experiments.
- Scalability: Ability to handle large-scale experiments with high traffic volumes.
- Cost-effectiveness: Pay-as-you-go pricing model, eliminating the need for upfront investments.
- Expertise: Access to best practices and expert guidance for running experiments.
Examples of EaaS platforms include Optimizely, and Adobe Target. These services are commonly used for A/B testing, feature rollouts, and personalization in web and mobile applications.