Optimizely

Optimizely is an A/B testing and personalization platform for marketing and product teams, sold as individually quoted packages with no public price list.

Optimizely is an experimentation and personalization platform for teams that decide what to ship by testing it first. It brings A/B testing, feature delivery, personalization and content management together, so marketing and product people work from the same experiments and the same pages. Optimizely builds and sells the platform under its own name, across web, commerce and app channels. Web Experimentation covers the browser side, where the Visual Editor changes page elements without code and shared code applies custom JavaScript and CSS. Redirect experiments test two separate URLs, multi-page funnel tests hold one experiment steady along a checkout path, and runs can be scheduled. Multivariate tests cover combinations of elements on one page, while Stats Engine reports the statistical likelihood behind each variation. Feature Experimentation handles flags, audience targeting and staged rollouts, with SDKs for server languages such as Java, Python and Go and for Swift, Android, React Native and Flutter. Sequential testing, multi-armed bandit optimizations, mutually exclusive groups, guardrail alerts and revenue tracking shape how a test runs and when it can be called. On the personalization side, Dynamic Customer Profiles and real-time audiences drive product recommendations, personalized search, category merchandising and segment-targeted content. The platform suits marketing and product teams running a continuous testing program rather than the occasional experiment. Ecommerce teams take the personalization modules for recommendations, search ranking and category pages, and content teams take the CMS the tested pages live in. Engineering teams get flags and staged rollouts, and analysts get results computed on the warehouse they already run. Buying is sales-led: the three packages Optimizely names, Agentic CMS, Agentic Experimentation and the Agent Platform, are put together around the modules a team needs and quoted after a demo request. Day to day the work is landing page tests, checkout funnel tests, feature rollouts behind flags and personalized merchandising for returning and anonymous visitors. Guardrail alerts and revenue tracking keep a test honest while it runs, and bandit allocation moves traffic toward the variation that is winning. Optimizely imports customer data platform audiences from ODP for targeting, and serves personalized content to headless front ends through the Content Delivery API. Its SDKs put the same experiments into backend services and mobile apps, so a test is not limited to the browser. Results can also be computed in Warehouse Native Experimentation Analytics, which keeps experiment analysis beside the rest of a team's reporting.