The upgraded Events Builder allows you to trigger events not only based on user interactions but also on specific page-level conditions—such as when a visitor lands on a particular section, URL, or a page with a defined title.

We've also introduced support for "AND" logic, enabling the configuration of event sequences that must occur together on the same page. These events are stored in memory within the page context, allowing for more precise behavioral targeting and journey orchestration.

Build smarter, more contextual event logic—tailored to real visitor behavior.

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We now have dictionary models built for: English, French, German, Spanish, Italian, Japanese and the infrastructure we have built allows us to support any language quickly. 

A few important notes: 

1. The end-user will always get keywords in his/her own language (it goes by the keyword that is detected in real-time)
2. The categories in the platform remain in English for now - for simplicity - but visitors will not get them if they speak non-English languages - it's only for the simplicity of the keywords management
3. In order to see/edit the keywords in the other languages, click on "Edit" menu item on the category and edit the keywords
4. We populate all the keywords automatically, using our models, and you can of course edit them - as always
5. In the Adaptive Search experience builder - we merged Categories & Keywords - to simplify the creation process and to avoid cases where different languages clash - so you'll have them combined from now on. Our algorithms will choose what's best to show in order to achieve optimal KPIs.

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This feature enables the creation of advanced, highly controlled affinities—beyond the simplicity of adding basic categories, keywords, or brands. 

While the standard setup remains ideal for quick targeting, Custom Affinities provide deeper flexibility for more sophisticated use cases.

You can define conditions based on page titles, URLs, sections, and user-triggered events—configured directly within their respective sections in the platform. In the example shown, we’ve built an affinity for "striped" products, but the use cases are virtually limitless.

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