Optimizely
A/B testing and experimentation platform. The enterprise standard for ecommerce and product experiments.
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What is Optimizely?
Optimizely is a digital experimentation and personalization platform made by Optimizely that enables organizations to test, personalize, and optimize digital experiences at scale. The platform combines A/B testing, multivariate testing, and feature management with AI-driven personalization and content orchestration capabilities to help teams improve conversion rates and customer engagement.
The platform serves enterprise customers across ecommerce, SaaS, media, and financial services. Core features include Experience Optimization for running controlled experiments on websites and applications, Content Orchestration for planning and publishing personalized content, and Commerce capabilities for optimizing product search and recommendations. Optimizely integrates with popular marketing, analytics, and development tools, and offers API access for custom integrations with data warehouses and customer data platforms. The platform includes Opal, an AI-powered agent system designed to assist with campaign ideation, content generation, and insights analysis. According to customer data cited on the company website, users report a 35% increase in test impact and 37% boost in website engagement.
Optimizely operates on a subscription pricing model with plans tailored to different team sizes and use cases. The platform supports both technical implementation through code and visual, no-code editing for non-developers. Development teams can use the platform's SDKs and APIs to implement experiments in production environments, while marketers can manage campaigns through the web interface.
The platform competes directly with other experimentation platforms including VWO (Visual Website Optimizer), Convert, and LaunchDarkly for feature management. Optimizely distinguishes itself through its scale capabilities—the company reports handling experiments for organizations reaching millions of users—and its integrated approach combining experimentation, personalization, and co