Recommendation Engine
Data Science Solutions
We worked with Abbott Pharmaceuticals to complete a product affinity analysis – identifying which Abbott products are most likely to be purchased together. We used this intelligence to inform Abbott’s sales, account based marketing plans and online user experience.
Marketing Data Science
Our approach used a collaborative filtering technique. This enabled us to identify affinity between products as well as next best product recommendations. And to ensure that our models worked, we validated them against historic transactional data – a step that showed 81% accuracy in predicting next product purchases.
The model is integrated into Abbott’s operational processes and its accuracy is increasing as it ‘learns’ from more data and further updates.
Client
Specialisms involved
We worked with Abbott Pharmaceuticals to complete a product affinity analysis – identifying which Abbott products are most likely to be purchased together. We used this intelligence to inform Abbott’s sales, account based marketing plans and online user experience.
Marketing Data Science
Our approach used a collaborative filtering technique. This enabled us to identify affinity between products as well as next best product recommendations. And to ensure that our models worked, we validated them against historic transactional data – a step that showed 81% accuracy in predicting next product purchases.
The model is integrated into Abbott’s operational processes and its accuracy is increasing as it ‘learns’ from more data and further updates.
81%
Accuracy in predicting next product purchases
Highlights
