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Automate product relations and discounted bundle packs. Uses attribute-based rules, A/B testing, behavior-driven co-occurrence, and sales/click analytics to boost average order value.
Key features:
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Automate Recommendations and Drive More Sales
Manually linking related products is slow and inefficient. Meetanshi's Magento 2 Auto Related Products extension automates this by replacing manual inputs with condition-driven rules. It offers 14 recommendation strategies—including bestsellers, most viewed, and viewed-together co-occurrence. Merchants can place custom blocks anywhere, run A/B testing variants to optimize sales, and monitor conversions with built-in daily and hourly reports.
Manually assigning related products for a large catalog is slow, difficult to update, and fails to leverage buyer behavior data, leading to lost upsell sales. Our extension uses attribute rules and behavioral data to display related products automatically. Includes conversion tracking and A/B testing to maximize ROI.
Automate your cross-selling pipeline to keep product offers fresh without compromising site performance:
Sort recommendations by Bestsellers, Most Viewed, New Arrivals, Random, or behavior metrics like "Bought Together" and "Viewed Together".
Display "Frequently Bought Together" bundles on product pages with fixed or percentage discounts, motivating buyers to add multiple items to cart.
Run variant rules with adjustable traffic weights (e.g. 50/50 split) to find which product recommendations generate the most clicks and sales.
Track impressions, clicks, add-to-carts, purchases, and attributed revenue daily or hourly to evaluate rule performance and ROI.
Pre-calculates matching rules and behavior metrics into dedicated index tables, ensuring recommendations load instantly on page loads.
Go beyond basic cross-selling with a data-driven recommendation engine. This extension allows you to place custom recommendation blocks anywhere on product, category, or cart pages using layout XML or admin widgets. It supports multi-store view pricing, customer group scoping (e.g., separate rules for VIP buyers), and includes options to hide out-of-stock items. Fully compatible with Luma and Hyvä storefronts, it ensures consistent recommendation blocks across devices.
To keep product pages loading instantly, the Auto Related Products extension uses a highly optimized database structure. Instead of running slow SQL queries against Magento's main tables during page loads, the extension indexes everything. The rule indexer evaluates conditions and maps matching items to meetanshi_autorelated_rule_product_index in advance.
meetanshi_autorelated_rule_product_index
Behavioral algorithms analyze past purchases and views to build bought-together and viewed-together indexes. Customer clicks and purchases are captured in a temporary buffer (meetanshi_autorelated_stat_tmp) and aggregated hourly by cron into daily/hourly statistics tables. This prevents database lockups and keeps pages loading fast. Out-of-stock items are pushed to the bottom of blocks automatically to keep your storefront looking fresh.
meetanshi_autorelated_stat_tmp
Manage all recommendation rules and bundle discounts from a single dashboard. Define source criteria, customize block titles, and add custom CSS directly in the admin rule form. Developers can leverage the companion GraphQL module to run recommendations on PWA and headless storefronts, while console CLI commands make reindexing easy.