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.

Algolia’s frontend libraries (search-insights, InstantSearch.js, and Autocomplete) now automatically infer the queryID based on the most recent query leading to a click interaction with the product or objectID. This enhancement eliminates the need for customers to manually track queryIDs through the purchase funnel, simplifying the process and ensuring more accurate conversion tracking. This improvement makes it easier for customers to send events into Algolia enabling without needing to manually map queries to events. For instructions, please refer to the documentation here. 

Shopify Webpixels are now integrated for tracking conversion events. Previously, there was no standardized way for merchants to easily send add-to-cart and checkout completion insights to Algolia, often requiring complex workarounds. With Shopify’s Web Pixels feature, merchants can now effortlessly track these events by adding our code snippets to their store. This streamlined process enhances the accuracy and reliability of event tracking, enabling merchants to leverage valuable insights for powering Algolia features such as NeuralSearch, Recommend, Personalization, DRR, and Query Categorization. This update significantly improves integration efficiency and enhances the overall e-commerce platform experience. Click here to learn more.

The Events Hub has been updated to improve usability based on customer and SME feedback. The new design includes a decluttered landing page and a separate Debugger tab for relevant information. Each event-driven feature now displays a tile indicating potential issues with event data, enabling easier and faster identification and resolution of problems. This update enhances the efficiency of managing event data quality and will continue to evolve with user feedback, particularly in refining "health checks" and status indicators for feature tiles.

The Automatic Events UI in the Events Hub has been improved based on customer and SME feedback. It now displays compatibility information for the activated Automatic Events feature in relation to ingestion method and library versions. This enhancement provides a smoother user experience by offering clearer guidance on feature utilization.