Because not all people who bought THIS…
will want to buy THAT…

Peerius was developed by a team of industry leaders who were well aware of the limitations of traditional recommendation software.

Unlike the existing models, which look for cause-and-effect through crude comparisons (variations of “people who bought this also bought that”), the Peerius engine develops an understanding of what each customer is trying to do as (s)he navigates through your site.

It combines a host of powerful algorithms to inform the goal – to provide the best possible product recommendations for any individual user. The products they view, the products they select, the products they ignore. The journeys that they complete and those that they abandon. It analyses detailed clickstream data and utilises behavioural modelling techniques in order to anticipate the buyer’s wants and needs. The result is the most personalised recommendations possible resulting in higher visitor conversion rates and site revenues.

And where the engine DOES make comparisons with other buyers, it works on a next-generation ‘cluster’ principle – identifying subsets of people with similar characteristics, and considering their behaviour in relation to that individual shopper.

Peerius can be highly tailored, to address the specific needs of each retail sector. So if you’re selling apparel – for instance – we include adjustments for seasonality, colour, new collections, trendsetters etc. or if you are selling wine we can make recommendations like the best sommelier dependant on your customers' taste and requirements.

What’s more, the Peerius Engine keeps on learning with every action that the visitor takes. And because more visitors become customers, and more customers become repeat customers, the recommendations served to them become better and better.