Skip to main content Skip to footer Skip to menu

What is Identity Resolution?

Understanding the identity of your customers across various touchpoints is crucial for delivering personalized experiences and effective marketing strategies. Identity Resolution enables businesses to aggregate and analyze customer interactions from disparate sources to create a unified view of an individual customer.

How does Identity Resolution work?

Identity Resolution operates by collecting and matching identifiers across different datasets to build a cohesive, omnichannel view of a consumer. 

These identifiers range from email addresses and social media profiles to device IDs and browser cookies. The process involves three key steps: data collection, data consolidation, and identity stitching. 

Data collection involves gathering information from various sources. Data consolidation cleanses and organizes this data, removing duplicates and errors. Finally, identity stitching combines these disparate pieces of information, using algorithms to link them to a single identity accurately.

Who needs and does Identity Resolution?

Identity Resolution is indispensable for organizations looking to enhance their customer relationship management (CRM) systems, personalize marketing efforts, and improve customer service. This includes but is not limited to:

  • E-commerce platforms seeking to provide personalized shopping experiences.
  • Financial services aiming to streamline customer verification processes.
  • Healthcare organizations needing to accurately identify patients across multiple points of care.
  • Marketing agencies looking to target and retarget audiences with precision.

Deterministic vs. Probabilistic Identity Resolution

Identity Resolution techniques can be broadly classified into two types: deterministic and probabilistic.

  • Deterministic Identity Resolution relies on exact matches of identifiers across different datasets. This method is highly accurate but may not cover all users due to the need for exact data matches, such as the same email address or phone number being used across platforms.
  • Probabilistic Identity Resolution uses statistical models to infer matches between datasets based on likelihoods. This method can cover a wider range of users but with a trade-off in accuracy due to its reliance on probability rather than certainty.

Data laws that affect Identity Resolution

Data privacy laws significantly impact how organizations can perform Identity Resolution. Regulations such as the General Data Protection Regulation (GDPR) in the European Union, the California Consumer Privacy Act (CCPA), and the upcoming California Privacy Rights Act (CPRA) in the United States, dictate strict guidelines on data collection, storage, and processing. These laws emphasize the importance of consent, data minimization, and transparency, requiring organizations to adjust their identity resolution practices to remain compliant while safeguarding customer privacy.

How can Replicant help?

Replicant helps you streamline the Identity Resolution process for contact center leaders and large enterprises. By leveraging advanced artificial intelligence technologies, Replicant can help organizations:

  • Automate Data Collection and Consolidation: Minimize manual errors and efficiently process large volumes of data from multiple sources.
  • Enhance Customer Profiles: Utilize AI algorithms to accurately stitch together disparate data points, creating comprehensive customer profiles for personalized engagement.
  • Ensure Compliance with Data Laws: Implement data processing and management practices that are fully compliant with current data protection regulations, safeguarding customer information and maintaining trust.
  • Improve Efficiency and Reduce Costs: By automating the identity resolution process, Replicant helps reduce the time and resources spent on data management, allowing businesses to focus on strategic initiatives and customer service improvement.

Get Started On Your AI Journey With A Free Call Assessment

Get in touch