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.
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.
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.