Product Recommendations

Help your customers find what they’re looking for – even if they don’t know it yet.

Product recommendations are now commonplace and are used by many of us every single day. Choosing what to watch on Netflix or listen to on Spotify; which book to read, which jeans, TV, or coffee to buy. It’s so embedded into our expectations that we take it as a given to be offered alternative products as part of the user experience on almost any website or app we use.

How does it work?

The Webtrends Optimize product recommendations engine utilises your own customer data – applying different algorithms to suggest the most relevant items. The data is based on the previous buying history of other website visitors with a similar browsing profile and selected products proven to be of similar interest.

Two examples of product recommendation carousels - people who bought this also bought & why not add
Man highlighting specific user icons from a larger pool, to depict filtering data for product recommendations

Data collection & filtering

The most important thing in making a product recommendation engine effective is the data. Data can be collected as users interact with your website, as well as through importing historical information. This could be weeks, months or even years of purchase data – the sky’s the limit! The more data the algorithm has access to filter and inform its decisions, the more accurate the product recommendation will be for your visitors.

If that all feels too much like you’re relinquishing full control to the AI bots, then don’t worry, filtering can also take into account any business-driven rules you choose to apply – such as recommending a product by a specific brand, or only recommending a product between X and Y selling price – to ensure the automated data filtering compliments your overall business strategy.

What can you do with product recommendations?

The most common examples such as You may also like…, People who bought this also bought…, People who viewed this went on to buy…, People who viewed this also viewed… etc. are all available. However, any insights your data can provide can be utilised and filtered to promote your products, increase your average order value and enhance the user experience of your website.

When used alongside your AB testing and Multivariate testing through Webtrends Optimize, you can maximise the placement and positioning of your product recommendations, as well as testing which of above examples are the most effective for your products, visitors and customers. For example, in a previous test, one client found that using People who bought this also bought… performed much better for them on Womenswear, whereas People who viewed this also viewed… was more effective for Menswear.

Choose your solution

We have a range of website optimisation solutions available to best suit the needs of your business.

Get in touch

Want to know more about product recommendations, or how Webtrends Optimize can help your increase your conversion? Click below to send us a message or call us on 0333 444 5502.

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