Product Recommendations For WooCommerce

Up-sell and cross-sell with a pinch of intelligence.

Have you noticed that the best-performing stores take advantage of the power of product recommendations? Used correctly, up-sells and cross-sells provide a more engaging experience for your visitors – the kind of experience that not only helps them find the products they love, but also keeps them coming back.

Luckily, you don’t need a team of machine learning specialists to get started. Product Recommendations is a state-of-the-art product recommendation platform for WooCommerce that combines human intelligence and machine learning with one goal: to help you increase your sales. To do this, follow these steps:

1. Up-sell and cross-sell smarter or create your own rule -based recommendation engines .
2. Improve your store’s shopping experience by placing strategically relevant recommendations .
3. Measure the impact of your strategies and optimize them with detailed analytics .

Let technology do the hard work

Create intelligent engines that generate automated and accurate Frequent Joint Buying Recommendations , without training the engine or waiting for it to learn. Our simple search algorithm analyzes your orders to discover meaningful relationships between products, plus it quickly adapts to trends and seasonal patterns.

Easily add recommendations from your entire catalog.

Have you ever tried adding up-sells and cross-sells to every product or category page in your store? With Product Recommendations , you can do both in a couple of minutes. Create up-sells and cross-sells in batches instead of introducing products one by one. Add category, attribute, tag or price filters 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 category you’re viewing or the brand? Want to limit your results to products that cost more than the product you’re looking at? Don’t worry. Product Recommendations allows you to display contextually appropriate recommendations faster.

Promote the right product to the right customer at the right time.

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 offers at the right time and display them based on certain conditions, based on the content of the shopping cart or customer order, search history, date or location.

Recommend products wherever you want

Show recommendations in more than 20 locations in your store:

• Store home page.
• Product tag or category pages.
• Individual product pages.
• Shopping cart page and checkout page.
• Pages of thanks (when receiving the order) and payment of the order.

Create your own rules

Tailor the shopping experience on your site to complement your sales strategies. Create custom recommendation engines that use filters, amplifiers, and visibility conditions to match products and customers. Do you need ideas?

• Take advantage of the psychology of social proof. Improve your customers’ trust and make browsing more fun by recommending best-selling and highest-rated products at the top of your store’s tag and product category pages.
• Create loyalty among your customers: offer a choice of how to complete the look on the product pages or after customers have placed their orders.
• Incentivize customers to spend more to get perks like free shipping.
• Encourage impulse purchases by recommending popular products on the checkout page. To optimize conversion, prioritize sale and seasonal items .

Do you need more ideas? Get off to a good start with these high-yield strategies.

Optimize your strategies with detailed statistics

Drill down to comprehensive reports to understand and improve your recommendation strategies. Track and analyze:

• Gross and net income.
• Conversions.

To help you understand what’s driving conversions, we’ve made all reports filterable by date, product converted, and location.