Making ecommerce personalisation personal

Intelligent personalisation

Give your customers a truly personal experience with guided suggestions based on taste, insight into past purchases and on-site behaviour.

Cross media recommendations

Cross media recommendations

Personalise any kind of content: editorial, rich media or product

Override and fine-tune

Override and fine-tune

Be more exact with manual overrides and fine-tuners that perfect personalisation results

Complete control

Complete control

Tune personalisation based on previous behaviour, higher margin item preference or introduce new items

Chosen for me

Chosen for me

Show items that most closely relate to the taste of your customer

Items I have…

Items I have…

Display items that the viewer has viewed, rated or interacted with

People also…

People also…

Help customers find items that similar customers have viewed, rated or interacted with

Relevant recommendations, your way

1

Seamless integration with the leading e-commerce platforms

2

Machine-led learning in real-time for up to the minute, accurate results

3

Manage sales and promotions with time based rules

4

Fine-tune rules to meet your exact campaign requirements

5

Manual override and customisation of rules to perfectly match your campaign

6

Boost campaigns with biasing or product prioritisation

7

Suggested business rules straight out-of-the-box for easy implementation

8

Minimise the number or type of products displayed with limiters

9

Order item groups and prioritise how products are displayed

10

Preview results of rules and fine-tuners so you know how the campaign will display

E-Commerce Personalisation & Discovery

White Paper: Personalisation & Discovery for Ecommerce Sites


Online store experiences can replicate real world discovery when personalisation & discovery techniques are used to improve customer experiences.

This paper discusses how ecommerce retailers are using personalisation to great effect by utilising available big data to improve customer experiences across the board.

You’ll discover:

  • The technology behind cutting edge personalisation
  • How online in-store experiences can replicate real-world discovery
  • How customer data can provide deeper insight to provide better customer experience
  • The value of personalisation
  • The future of personalisation and what’s coming next

Download

See The Filter in actionBook a demo