Micropole Data Cloud and Digital Transformation consultancy


Credit Agricole Cas Client - Micropole  Data Cloud Digital Consultancy

Crédit Agricole improves customer experience with Scoring.AI

Crédit Agricole is equipping itself with a scoring and targeting solution for its regional establishments in Western France in order to optimise its knowledge and customer relations.


Crédit Agricole is the largest network of cooperative and mutual banks in the world. In France, it is made up of 39 regional banks and in 1990 it became an international generalist banking group.

Key figures:
- 145,000 employees worldwide
- sales of €22.7 billion in 2021
- sales of €23.7 billion in 2022

The Marketing R&D division of the Breton banks (CA Finistère, CA Morbihan, CA Côtes-d'Armor, CA Ille-et-Vilaine) is helping a dozen Crédit Agricole regional banks to develop customer knowledge and optimise customer relations.

Credit Agricole Bretagne Micropole Client Case Study


Against this backdrop, Crédit Agricole de Bretagne is developing numerous targeting tools and solutions for advisors to enable them to:
- Visualize and prioritize actions to be implemented
- Make targeted recommendations
- Advise each customer in the short to medium term.

The RDM division has chosen SCORING.AI as a scoring and targeting solution for its partner regional mutuals, in order to optimize its customer knowledge and relationships.
In just a few months, this choice has enabled them to :
- Develop over fifty scores by customer typology, produced for each Caisse Régionale to offer highly relevant targeting and even micro-targeting.
- Qualify each customer in terms of appetence, need and risk.
- Achieve significant transformation rates to win over advisors.


  • Acquisition of SCORING.AI
  • Micropole support for the automation of the construction of analysis tables and the calculation of behavioural indicators, reflecting the client's dynamics over varying levels of historical data
  • Micropole support for the construction of the initial scores
  • Industrialisation of SCORING.AI scores in SAS through the automatic translation module in SAS language


  • Over 60 scores deployed in a few months
  • Conversion rates up to 55 times higher than with natural subscription
  • Bank advisors' buy-in of the integration of AI in the prescription process towards customers
Eric Le Dantec Micropole Data Driven Digital Business

With Scoring.AI you go faster and score better

This has freed up valuable business time and allowed us to focus on data preparation and customisation.

- Eric Le Dantec
Head of the Marketing R&D Cooperation Unit at Crédit Agricole de Bretagne