Use Case: Pattern Identification

Challenge:

A low cost airline client maintains a database with a lot of customer website usage data which they wished to use in order to improve their site conversion through improved marketing campaign targeting.

 

Actions:

  • Aigen proposed a solution based on IBM’s Watson to consume and analyse the data so as to identify user’s website usage patterns in relation to the buying journey.
  • The airline then used this data to create more targeted marketing campaigns.

 

Outcomes:

  • This lead to a 3% increase in site conversion in the first 6 months.
  • The airline believes that additional improvements in both the pattern identification and how to target their marketing campaigns will provide further increases in conversion.