How To Master Personalized Product Recommendations

The statistics around personalized eCommerce product recommendations are pretty mind-boggling. When the numbers are so tempting, you can't possibly ignore.

The statistics around personalized eCommerce product recommendations are pretty mind-boggling.

  • According to 86% of consumers, their buying decisions are impacted by personalization.
  • About 73% of consumers would like to interact with brands who use their personal information for a better shopping experiences.
  • 80% of consumers prefer emails with product recommendations based on previous purchases
  • McKinsey study reveals that personalization can deliver an ROI five to eight times on marketing spend and boosts sales by at least 10%.

When the numbers are so tempting, there is no way you can ignore this very important aspect of eCommerce. There are few very basic touch points, which when optimized for eCommerce product recommendations, can give you amazing results.

Let’s look at them-

Recommend Products based on User History

By displaying history aware product recommendations according to the customers’ recent history, you are actually reducing bounce rates on pages like “no search results”, “404” and “out of stock” to a great extent. When your recommended products reflect the tastes and preferences of your customers, they feel understood and want to come back to your site.

Recommend Products based on Similar Products

Recommending similar products helps your customers find relevant alternatives, which matches their predictive intentions and goes on to increase your conversions. When customers find similar products, they are more likely to continue with their sales journey – even when they are about to leave your site.

Recommend Upselling / Cross-selling of Products

Customer experience can be improved by introducing them to better or complimentary products aligned to their recent purchases or interests. Upselling or cross-selling products have a chance of increasing your revenue as they often suggest higher priced items to customers. This also simplifies the discovery of similar products, which customers often appreciate.

Recommend Products based on Keywords

You can simplify the search process for your shoppers by optimizing landing pages to contain widgets tailored for targeted search items. This will allow you to recommend those products at the time they enter your site.

Customers love that personal touch and personalized product recommendations give them the convenience to find the products of their preference without putting too much effort. And you – as an eCommerce store owner – can reap the benefits of increased revenue, better search rankings, reduced cart abandonments, and more conversions.AI-powered predictive technologies help deliver a much-refined and personalized shopping experience for your customers.

Hence, it’s time to get personal!


Start Personalizing Your Online Store, Now!

Fadiyah Sameh

Content marketing specialist @perzonalization, ace writer, loves to read and write on marketing related topics