Do you know the value of each one
of your contacts?

Use a new intelligence to know your contacts better.
Anticipate their behavior

ACCURATE FORECASTS, AUTOMATIC CLUSTERS, ENRICHED PROFILES

Every day, you collect a huge amount of data about your customers. Try to use it to better understand their potential. Data is the Contactlab Marketing Cloud module that enhances all the available data and discovers new contact characteristics. It reveals their purchase habits and preferences, anticipates their behaviors, predicts their lifetime value and exposes churn risks. With standard and customizable algorithms and predictive analysis, Data enables you to effectively identify audiences for whom you can build journeys and create tailored messages.

  • Measure your campaign’s success

    Expand upon data regarding the email activity of your contacts and identify their interest in following you. The Email Engagement Index evaluates the success of your email campaigns for every individual contact. You can find out the involvement levels towards your brand for prospects and customers, recognize the very active contacts and identify those who have stopped opening your emails.
  • Recognize purchase behavioral patterns

    By elaborating upon the online and offline purchase data about your customers, you can know their habits and preferences, and measure the actual value of every contact. Recency Frequency Monetary - RFM combines three important types of information: When the last purchase took place (R), how often the customer buys (F) and the total purchase value (M) with your brand to date. As a result, you can segment your audience and tailor your relationship.
  • Predict your income

    Collect all your customers' data about the purchases they made on your e-commerce site and in-store, then predict their future potential with the Customer Lifetime Value - CLV. The algorithm highlights in a very precise way, the actual cluster an individual customer belongs to, as well as predicting their future one. It can also be used to identify those customers who are at risk of dropping off. You can then use the results to create differentiated campaigns and verify the return on those already carried out.
  • Purchase and behavioral statistics

    Analyze your customers' data to access a wide range of statistics. Statistics that can provide up-to-date information about their purchases, how much they have spent, how many orders have been made, which products they have bought and what's been returned. You can also evaluate a customer's actions, such as the product categories they prefer the most, the day and time when they like to shop, their favorite store and their chosen payment method. Examine their email activities, for example, how many emails they have received and opened, together with the number of clicked links and so on.
  • CONFIGURABLE
    ALGORITHMS

  • ARTIFICIAL
    INTELLIGENCE

  • GDPR
    READY

  • OPEN AND
    INTEGRABLE

  • ACCESS TO ALL
    COLLECTED DATA

  • REAL-TIME
    ANSWERS

LEARN MORE