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Offer smarter upsells, cross-sells, and “frequently bought together” recommendations. Measure their impact with in-depth analytics.
Ever noticed how the most successful stores leverage the power of product recommendations? When done right, upsells and cross-sells deliver a more engaging experience to your visitors — the kind of experience that not only helps them find products they like, but also keeps them coming back.
Fortunately, you don’t need a team of machine learning specialists to get started. Product Recommendations is a state-of-the-art product recommendations platform for WooCommerce that brings together human intelligence and machine learning, with one goal: To help you grow your sales. Here’s how:
Build intelligent engines that generate automated, accurate Frequently Bought Together recommendations, with near-zero waiting or training. Our lightweight search algorithm analyzes your orders to discover meaningful product relationships and quickly adapts itself to new trends and seasonal patterns.
Ever tried to manually add upsells and cross-sells to every product or category page of your store? With Product Recommendations, you can do both in minutes. Create upsells and cross-sells in bulk, instead of entering products one by one. Add category, attribute, tag, or price filters to narrow down products, and use amplifiers to boost specific results based on popularity, rating, creation date, conversion rate, or more advanced criteria.
Looking for a way to recommend products from the currently viewed category, or brand? Want to limit results to products that cost more than the currently viewed product? No problem! Product Recommendations lets you deploy context-aware recommendations, faster.
Increase your store’s average order value by recommending recently viewed products and products from recently viewed categories on the checkout page, or even after customers complete their orders. Make relevant, well-timed offers by displaying them conditionally, based on your customers’ cart/order contents, browsing history, date, or location.