2026 Product Recommendations release notes
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September
- Released the pr_delete_custom_page tool in Opal to help you delete an existing custom page from your website. See Page and position management for more information.
- Added prefix-match locale matching to Triggered Messages campaigns, letting you select a de*-style option in the Locale field to match every regional variant of that locale (such as de, de-ch, and de-de) with a single trigger instead of one trigger per variant. Locale values without a trailing * keep their existing exact-match behavior. See Set up an Optimizely Triggered Messages campaignSet up an Optimizely Triggered Messages campaign for more information.
July
- Added feed notification management to the Configure tab in the Admin section, letting you set alerts for selected accounts whenever a feed import succeeds, fails, or both, so teams learn about import problems without manually checking the feed. Each account is assigned a Success, Failure, or Both notification type, and you can search or filter recipients by name, email, or notification type. See Administer the Product Recommendations portalAdminister the Product Recommendations portal for more information.
- Released the Algorithm Performance report, which displays detailed metrics for each algorithm configuration across widgets and pages so you can compare how algorithms drive clicks, purchases, and revenue and find the best configuration for each page type. See Product recommendation reportsProduct recommendation reports in the Product recommendation reports documentation for more information.
- Added an AND variant to the Bestsellers by customer segments and Viewed together by segment algorithms. The AND variant targets shoppers who belong to all selected segments, letting you build more precise segment-based recommendations. See Algorithms for widgetsAlgorithms for widgets for more information.
- Released additional System tools for Product RecommendationsSystem tools for Product Recommendations in OpalOpal to retrieve algorithm performance reports for a date range to compare which recommendation algorithms drive the most revenue.
May
- Added pagination to the Search reportAdded pagination to the Search report, improving load times and readability for sites with large volumes of unmatched search terms.
- (Beta) Released Optimizely Opal chat for Product Recommendations. Opal is an AI assistant that provides contextual guidance directly within the product. Take Opal's help to manage high-level workspaces, retrieve algorithms, define website layouts, manage recommendation blocks, and analyze the impacts of your product recommendations. See Use Optimizely Opal with Product RecommendationsUse Optimizely Opal with Product Recommendations.
April
- Added Widget Breakdown to self-service A/B test results, giving you total revenue by variation and key metrics like product refCode, brand, impressions, clicks, items bought, and revenue for each widget within a variation.
- Added three new customer segment-based algorithms, Added to basket after viewing by segment, Viewed together by segment, and Purchased after viewing by segment, to help you target recommendations more precisely.
Opal releases
Released the following Optimizely Product Recommendations tools in Opal to help you monitor and analyze product, search, and category performance directly in Opal.
- pr_get_category_report – Retrieves a category report containing performance metrics based on a provided date range and site configuration.
- pr_get_search_report – Generates a search report detailing search performance and metrics for a specific site and timeframe.
- pr_get_trend_report – Retrieves a trend report analyzing performance by product, brand, or category over a designated period.
March
Opal releases
Released the following Optimizely Product Recommendations toolsOptimizely Product Recommendations tools in Opal to help you configure sites, manage recommendation widgets, and analyze performance data.
- pr_get_sites – Retrieves the available sites for your organization.
- pr_switch_site – Switches the active site context.
- pr_get_locations – Retrieves a list of locations or regions from a specified server and site.
- pr_get_currencies – Retrieves all available currencies for a site.
- pr_get_channels – Retrieves all available widget channels for a site.
- pr_get_algorithms – Retrieves a list of available algorithms for a specific project or environment.
- pr_get_algorithm_hints – Retrieves available quick filters (hints) for a specific algorithm.
- pr_get_attributes – Retrieves specific attributes for product recommendations based on a search term.
- pr_get_categories – Retrieves a list of categories based on a search term for a specific site and server.
- pr_get_product_sets – Retrieves all available product sets for a site.
- pr_get_pages – Retrieves all pages for a site.
- pr_create_page – Creates a new page within a site.
- pr_get_positions – Retrieves the available widget positions for a specific page.
- pr_create_position – Creates a new position on a specific page for placing widgets.
- pr_get_widgets – Retrieves all available widgets for a site.
- pr_get_widget_config – Retrieves the configuration details for a specific widget.
- pr_create_widget – Creates a new recommendation widget. Optimizely currently supports quick filters only. Advanced filters support will be added in a future release.
- pr_get_order_report – Retrieves order reports for a specified date range.
- pr_get_products_report – Retrieves a products report based on specified criteria such as date range, location, and sorting preferences.
- pr_get_conversion_report – Retrieves a conversion report for a specific site or location within a given date range, letting you filter by traffic, conversion type, and currency, with pagination and sorting options.
- pr_get_engagement_report – Retrieves an engagement report for a specific site within a given date range.
- pr_get_pagetype_report – Retrieves a performance report broken down by page type for Product Recommendations.
February
- Added the ability to create widgets. Previously, you could only edit or duplicate existing widgets. Now, when creating widgets, you can place them on pages, select their positions, choose the number of recommendations, select your channels, and configure whether recommendations always appear on your pages.
- Self-service A/B testingSelf-service A/B testing is now generally available. Using this feature, you can independently create, configure, and launch experiments without relying on developer support.