Maximise revenues through content recommendations

IMIdigital has an inbuilt recommendation engine that intelligently recommends relevant content based on the users browsing behaviour. The engine logs browsing and download data for each user which is then processed through a proprietary statistical model to generate individual content recommendations.

Within IMIdigital we allow for recommendations such as:

  • Category recommendation
  • Complementary recommendation
  • Also buy recommendation
  • Personal recommendation
  • Peer recommendation
  • Product-oriented recommendation


IMIdigital also uses a RFM (Recency Frequency Monitor) model as default that analyses other users content usage patterns. This further enhances the accuracy of our content recommendations to help maximise revenue generation of the most successful content categories.