Customer intelligence

Customer profiling

Big Data

• Defining the target audience.
• Process analysis and contact points.
• Identification of needs.
• Alignment with customer contact areas.

Audience extension

and enriched remarketing

• Remarketing based on data.
• Segmenting target audience.
• Definition of extended audiences.
• Refining campaign settings.

Predictive analytics

• Relevant data collection
• Data mining oriented to the target audience.
• Predicting interaction and consumption trends.
• Analysis of actions and reactions of the audience.

Personalization

and targeting

• Customizing digital experiences.
• Identifying patterns in the profiles of prospects.
• Standardization trends based on specific campaigns.
• Search the audience for unique features.

Market Basket Analysis

& recommendation

• Analysis of frequent consumption.
• Customizing experiences based on habits.
• Recommendating related products and services in key moments of the buying process.
• Identification of temporary commonality in consumer habits.