As an online retailer, the ability to analyse, respond and learn from user behaviour within the eCommerce arena is invaluable. This is something that came to light to Locayta clients Prezzybox and Paperchase, who have learnt the benefits of implementing Behavioural Algorithms to track and respond to user behaviour which are dynamically occurring on their sites. Want to see how you too can increase conversion rates and average basket order values with Behavioural Algorithms? Keep reading to find out more…

Locayta Behavioural Algorithms

Locayta’s Behavioural Algorithms are applicable across many aspects of online merchandising, from Behavioural Targeting in Visual Merchandising to Product Recommendations using Behavioural Algorithms. So how do they work? And in particular, how have they aided the growth of Prezzybox and Paperchase?


Behavioural Targeting in Visual Merchandising

Here, Behavioural Targeting allows you to re-engage with your users, generating high conversion rates and lowering acquisition costs; the technology enables you to review users’ previous interactions on your site (including incomplete purchases) to make recommendations to returning users. eCommerce manager at Prezzybox, Zak Edwards said, “It’s been a revelation.We have total control. As well as responding to user behaviour, we can add our own stock control and promotional strategies into the mix. We have the ability to create filter criteria to match seasonal promotions, gift categories and internal variables. Most crucially, because every decision we make can be applied automatically across every category we’ve eliminated any margin for error and ensured that our customers experience accurate results every time. It’s no exaggeration to say that we saw conversion rates increase overnight when we started using Locayta.


Product Recommendations using Behavioural Algorithms

One of the ways that Locayta’s Behavioural Algorithms are used to increase basket order values is with Product Recommendations. These enhance user experience by providing customers with highly personalised product recommendations in real-time based on users’ behaviour on site. This can be from generating generic recommendations based on the collective intelligence of your site, as well as more personalised recommendations based on an individual’s past and present behaviour. Adrian Spence, Head of eCommerce at Paperchase, says, “Our products are all about driving newness and offering fresh collections. At Paperchase we’re thinking much more strategically about product recommendations“.

Next steps

Amongst the many services available from LocaytaLocayta Behavioural Algorithms comes fully integrated into the Locayta Freestyle Merchandising® platform. To see them in action and find out more on Locayta Freestyle Merchandising® services as a whole, visit www.locayta.com today.