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Make Your “Test Everything” Goal a Reality
Powerful Experimentation for the Data-Driven Creator
Turn any hypothesis into a proof of concept with hassle-free, intuitive tools.
Test and Improve Results on Multiple Channels
A/B testing, automatic winner distribution, and contextual personalization will help quickly improve performance for peak results.
No More Flickering While Testing Content Variants
Unlike most optimization tools that cannot avoid flickering, Bloomreach's patented flicker‑free technology ensures your customers only see the content you want them to see.
Out-of-the-Box Analytics and Customer Insights
Collect and quickly access first-party data with fully customizable dashboards, metrics, segmentations, and trends.
850+ Brands Go Beyond Their Goals With Bloomreach
Reliable Testing with Real-Time First-Party Data
Bloomreach is powered by first-party data for reliable optimization without the need of third-party cookies. Analyze anonymous visitors using server-side cookies that are resilient against browser limitations to get a full picture of your customers from their very first interaction.
Test, Test, Test on Any Channel or Customer Touchpoint
Increase Conversions With Smart A/B Testing
Run Advanced Web Optimization With Server-Side Testing
Supplement Your Testing with AI-Powered Contextual Personalization
Experiments and A/B Testing FAQs
Common questions about Bloomreach's Experiments and A/B Testing product with Bloomreach Engagement.
While custom coding options are available for the more technical users to get creative, it’s not a prerequisite. Our visual editors and pre-built templates make deployment a breeze.
There are multiple channels to optimize as our A/B testing suite is part of Bloomreach’s omnichannel orchestration, which allows you to distribute content between all your major channels such as Email, SMS, in-app, digital ads and more.
While A/B testing serves every customer the overall best variant of a tested campaign based on average performance, contextual personalization serves what is best for each customer based on the contexts in which they are found. Essentially, it solves the multi-armed bandit problem.
