Predictive Intent: personalised, targeted e-commerce marketing`

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Predictive Intent: personalised, targeted e-commerce marketing by Neil Hamilton

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Predictive Intent: personalised, targeted e-commerce marketing`

  1. 1. eCommerce Personalisation
  2. 2. Personalise visitors journeys and convert more… First time visitor Profiled browser Known customer What keyword, If returning after Target with key phrase or cart known attribute URL did they use abandonment or preferences to arrive on site previous visit, (size, brand, target with range etc.) Observe click products stream to matching their Target with determine profile dynamic push interest email
  3. 3. Home Pages = 2% increase in revenue
  4. 4. Product Pages = 4% increase in revenue
  5. 5. Category Pages = 5% increase in revenue
  6. 6. Search Results = 60% increase in conversion
  7. 7. eCRM - exampleTotal visitors (which included bots/bounces) - 3,574,037Total visitors - who bought something 14,564 - who bought more than one thing 5,272 - who bought 5 or more things 822…and we know a great deal about them!
  8. 8. Behaviourally driven, real time CRM solutionPersonalized Merchandising & Searchandising Solution
  9. 9. Personalisation Results35% increase in conversions14% new attributable revenue27% overall revenue influence16% reduction in click to buy distance60% increase in items purchased60% increase in Search conversions~£1500 per month reduction in labour
  10. 10. End

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