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

1. eCommerce Personalisation

4. 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

5. Home Pages = 2% increase in revenue

6. Product Pages = 4% increase in revenue

7. Category Pages = 5% increase in revenue

8. Search Results = 60% increase in conversion

9. eCRM - example
Total visitors (which included bots/bounces)
- 3,574,037
Total 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!

10. Behaviourally driven, real time CRM solution
Personalized Merchandising & Searchandising Solution

11. Personalisation Results
35% increase in conversions
14% new attributable revenue
27% overall revenue influence
16% reduction in click to buy distance
60% increase in items purchased
60% increase in Search conversions
~£1500 per month reduction in labour

12. End