Audience AI solves the problem of a fragmented data lake in non-communicating silos. It collects, aggregates, and models data to provide you with a complete view of your customers, allowing you to optimize the targeting of marketing campaigns and make informed business decisions without introducing additional tools or dashboards into the existing martech stack.
Obtain advanced segmentations of your customer base to enhance your marketing campaigns and gain a complete view of your customers without adding complexity to your technological stack.
Why use Audience AI?
How does Audience AI work?
Audience AI allows you to gain insights into your customer base to implement personalized and effective marketing strategies.
Collect and aggregate Behavioral data, CRM data, and E-commerce data in your data warehouse.
Using artificial intelligence algorithms, it performs:
- Analysis of user interests based on their browsing behavior;
- Analysis of transactional data;
- Lead scoring and predictive lead scoring;
- LTV predictions based on behavioral data.
Once the analysis has been performed, it provides different types of output, such as:
- Dashboards for business intelligence;
- Advanced audiences within advertising or email marketing platforms;
- Periodically updated labels in your CRM;
- Customisation of CX and in real-time;
- Chatbots and LLM fed with the information and insights obtained.
Personalized and Updated Audiences
With Audience AI, audiences are created dynamically and users can be categorised in various ways. To examine purchasing behaviour, we use the RFM (Recency, Frequency, Monetary) framework with the ability to customise the monetary metric (RFx) to suit the needs of your business. In addition, we apply the K-Means methodology to break down users into groups that meaningfully and representatively reflect your users’ behaviour and the needs of your business.
Significant Impact on Marketing Performance
Audience AI enables a reduction in Customer Acquisition Cost and Churn rate, as well as an increase in Customer Lifetime Value and business value.
Information collection is done in strict compliance with privacy regulations while maintaining high accuracy in user identification. Additionally, both data extraction and data return within marketing platforms occur through the use of encrypted APIs, ensuring complete protection.
End-to-End Data Approach
Thanks to the expertise of our Data Strategists, Audience AI adapts to your objectives and business model from the data collection. Following the Reverse ETL approach ensures that the data extracted from the data warehouse is transferred to operational systems or business applications. This enables companies to use the collected data for immediate, customer-oriented actions.