Deterministic matching refers to a matching technique to identify the same customer across different online platforms using exact, verifiable data points. These data points include email addresses, phone numbers, and user IDs.  This ensures accuracy by relying on definitive, first-party data rather than assumptions. 

What are the goals of deterministic matching? 

The deterministic matching aim is to identify the user density across various data sets and online platforms. This enables the business to create a unique customer view. This customer view can improve data analysis and target the customer more efficiently.  

Use Cases of Deterministic Matching 

• Cross-device and platform customer identification to craft a unique customer view.
• Personalizing marketing campaigns with unified customer profiles.
• Enhancing CRM data accuracy and creating better segmentation.
• Linking online and offline customer behaviors for attribution.
• Crafting a better sales strategy that can be engaging for the audience.

Benefits of using Deterministic Matching :

• You can get a precise and reliable customer view and identification.
• This matching improves the accuracy of information and refines the user experience. 
• It enhances data-driven decision-making and efficient targeting for marketing campaigns.
• Increases marketing efficiency with accurate audience insights.

Deterministic matching empowers businesses with accurate customer identity resolution. Enabling precise targeting, better customer experiences, and data-driven growth strategies.

How is deterministic matching different from probabilistic matching?

Deterministic matching utilizes the exact data pointers for precise identity resolution, while probabilistic matching relies on patterns and likelihoods.