Lister has developed a product recommendation engine to deliver cross channel hyper-personalisation
Lister has developed a product recommendation engine to deliver cross channel hyper-personalisation
Personalisation​

Lister has built a solution that can ingest customer browse behaviour and spending patterns in real-time. Our proprietary algorithm curates content based on preferences and past browse behaviour and offers recommendations on content to be served. The capabilities of this solution are highlighted below:

  • Our solution integrates effortlessly with e-commerce platforms, enabling us to offer the right content to customers during future visits
  • The ability to build customer segments helps classify customers and deliver personalised content
  • The solution also integrates with e-mail marketing platforms facilitating the delivery of content via e-mails based on the interest the customer exhibits on the website.
  • Purchase information is used to build product recommendations when the customer next decides to make a purchase
  • Recommended products are served via e-mail in real-time as part of cart abandonment and post-purchase email journeys, optimising marketing spends.

Impact

  • Improved conversions due to real-time retargeting for cart abandonments with appropriate product recommendations
  • 50% increase in site visits due to personalised content.
  • Year over year uplift in revenue by 15%.
Testimonial
Engineering Manager of an enterprise nutraceutical company

Lister team did all the Highjump WMS work, so they are to be commended for a job well done. We appreciate the team's hard work and enthusiasm for getting things done.

Engineering Manager of an enterprise nutraceutical company