Collections now supports advanced condition logic for more precise dynamic assortments. Previously limited to simple all-AND or all-OR rules, Collections can now combine AND/OR operators within a single definition and include numeric comparisons like "greater than" and "less than". This enables sophisticated groupings such as "Brand is Nike OR Adidas AND Price under £100 AND Rating above 4.5" without manual curation. These enhancements reduce merchandising effort while enabling more targeted product collections that automatically stay current with catalogue changes. 

Merchandisers can now search for any product displayed in the Visual Editor using the new Find in results bar, even if the item is initially not visible or in the loaded results. This improvement removes the previous limitation of browser-based search (Command+F), enabling users to locate and act on any result, regardless of its initial position. The searched product is highlighted in its current position (e.g., position 465), allowing users to scroll directly to it for quickly merchandising those products as needed.  A new shortcut (Command+B on Mac, Ctrl+B on Windows) quickly triggers this functionality, improving speed and usability for large merchandising sets. This feature is now available to all customers with access to the Visual Editor.

Merchandisers can now schedule rules to start or end independently, without being forced to define both a start and end date. This added flexibility helps manage evergreen campaigns, future-dated promotions, and simplifies rule management directly in the Visual and Manual Editors. 

Collections pages now automatically benefit from Dynamic Re-Ranking (DRR) with no setup required. The Collections attribute is applied by default as an extra browsing facet, allowing DRR to re-rank results on Collections just like category pages. Customers can disable DRR at any time via the enableReRanking query parameter. Click here to learn more.

To improve event tracking accuracy, we now infer and attach missing queryIDs to conversion events when an objectID is present. QueryIDs are required as a parameter for conversion events, so this enhancement helps to ensure these events are utilized by our AI models. To ensure the most accurate results, we still recommend sending queryIDs with conversion events whenever possible. This update serves as an additional safeguard, enhancing data quality when queryIDs are unavailable, but it should not replace proper event instrumentation. To learn more click here.

Algolia Fetch enriches your Algolia data directly within the Algolia data integration workflow. You can now retrieve information from external sources via third-party APIs, enhancing the quality and relevance of your search results. Algolia Fetch lets you add valuable content, and meta data to your Algolia records from any compatible third-party API. Seamlessly integrate external data sources and leverage Data Transformation prep functions to format and restructure before ingesting into the Index. Provide more accurate and relevant search results by enhancing the data quality of your product / content catalogues. Click here to learn more.

The A/B Testing Estimator addresses challenges in testing the impact of features by using customer goals and historical data to estimate test duration and sample size, ensuring that small customers can gather actionable insights, while larger customers avoid unnecessary delays. It maximizes confidence in results, validates test feasibility, and minimizes wasted resources. Available via the API and fully integrated into all API clients and the dashboard, it accelerates experimentation, minimizes delays, and enables faster revenue realization. Click here to learn more.

Advanced Personalization streamlines configuration of weights for events and facets, reducing guesswork and simplifying setup. With enriched user profiles and historical affinities, it enables seamless personalized experiences across search, browsing, and recommendations. New capabilities include inline segmentation and the ability to export profiles for integration into external workflows. Click here to learn more.

Dynamic Re-Ranking (DRR) Advanced is now generally available for Elevate customers, with Premium customers able to access it through an additional bundle. This release brings significant updates, including hourly DRR score refreshes for near-real-time adjustments, support for up to five browsing facets for enhanced filtering, and improved ranking for empty queries. These changes address longstanding customer feedback and expand DRR's functionality, delivering improved relevance and adaptability to shifting user behaviors. By optimizing content presentation and search relevance, DRR Advanced empowers businesses to enhance the user experience and achieve better engagement outcomes. Click here to learn more. 

An update to the API client SLA will provide customers with more flexibility and time to prepare for major version upgrades. The new SLA will cover both the current and the previous major version for two years following the release of a new version. This change addresses the current limitation where only the latest version was covered, which left many customers without SLA support when major versions with breaking changes were introduced. The updated SLA ensures customers have a predictable two-year window to upgrade, reducing the pressure for immediate updates and enabling better planning. This change is expected to improve customer satisfaction by offering clearer coverage and reducing support inquiries.