Introduction to experiments in Sitecore Personalize
Experiments enable you to create and test personalized content and offers to a guest based on real-time behavior, propensity scores, product recommenders, and more.
We recommend you run an experiment anytime you want to statistically test that a customer experience is resulting in the best outcome. You can test your variant against a control or other variants in an A/B/n test. For example, test several new website designs to find out which one generates the most engagement and conversions. After a variant winner is declared, you can create an experience to promote the winner to the default customer experience.
You can create the following types of experiments:
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Web experiment - Enables marketers to create dynamic offers and content using web templates that display a form for the marketer to complete. Developers can also create web experiments with dynamic data using HTML, CSS, and JavaScript. Web experiments can run on the web or be deployed into a web-based application.
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Interactive experiment - Enables developers to create dynamic offers and content from back-end systems for maximum server-side personalization. Interactive experiments can run on the web or be deployed into a web-based application.
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Triggered experiment - Enables marketers who are familiar with FreeMarker to create dynamic offers and content to send to an Email Service Provider (ESP) or SMS/Push service provider for distribution.
In Sitecore Personalize, you can choose between a Classic and an Optimized statistical engine for running experiments. Use the default classic A/B testing when you have a clear hypothesis and aim to test a limited number of variants until statistical significance is reached. For faster results for web or interactive experiments, use optimized testing to employ the multi-armed bandit algorithm. This option will automatically allocate 100% of the traffic to your experiment, and dynamically assign guests to the highest performing variants.