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 Google Analytics 4 BigQuery Export Connector enables seamless import of GA4 event data directly into the Algolia platform, streamlining the process for users to integrate their analytics seamlessly. With the addition of a no-code schema mapping tool, onboarding is simplified, reducing the complexity of managing event data. By supporting faster setup and improving event tracking accuracy, this connector empowers users to create smarter, more personalized search experiences. With compatibility for one of the most widely used analytics tools, it lowers the barrier to entry and supports broader adoption across diverse use cases. 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. 

Algolia Data Transformations introduces a powerful and intuitive interface for preparing, cleaning, and structuring data directly within the Algolia platform. With features such as a code editor equipped with autocomplete and debugging, pre-built helper functions for common tasks, and the ability to write custom JavaScript transformations, customers can simplify and expedite the data preparation process. Transformations can be applied both pre- and post-indexing, ensuring greater flexibility and precision. This enhancement reduces manual effort, improves data quality, and enhances the relevance of search results, enabling businesses to deliver a more seamless and impactful user experience. Explore the product guide here and request a demo using this link. 

Algolia is now offering a Pay-As-You-Go (PAYGO) listing on the AWS Marketplace, allowing customers to easily pay for their Algolia usage through AWS. This launch enhances the accessibility of Algolia’s services by enabling customers to use their existing AWS cloud spend or AWS free credits (such as AWS Activate) to fund Algolia usage. The new PAYGO model complements the existing yearly commitment option and provides a flexible, low-cost entry point for developers to integrate Algolia's search capabilities without upfront financial commitments. This move is part of a broader strategy to expand Algolia’s presence in the fast-growing cloud computing market and engage a wider audience. 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.

No-Code Banners feature is now in GA, allowing customers to easily create and manage banners via our Visual Editor without needing to write any code. Previously, banners required coding via a JSON format in the Manual Rule Editor. This feature simplifies the process, enabling users to display banners at the top of search and category results pages for customers using InstantSearch. The banner must be a picture hosted outside of Algolia. This enhancement empowers users to create more visual experiences for customers, improving user experience and increasing conversion opportunities. Click here to learn more.

The new self-service Crawler simplifies data ingestion by providing an intuitive onboarding experience, multiple domain verification methods, and enhanced product and article data extraction. With a no-code configuration option and improved accessibility from the Algolia dashboard, users can easily manage their crawlers without engineering expertise. A new usage-based pricing model also allows for flexibility, making the Crawler accessible to a broader range of users while eliminating the need for annual contracts. These updates streamline the setup process, reduce technical hurdles, and offer greater efficiency for businesses managing large-scale data extraction.