Businesses handle an overwhelming amount of data, and one of the biggest challenges is figuring out who’s who. That’s where identity resolution and entity resolution come in. While these terms are often used interchangeably, they are not the same thing.
If you’re in sales, marketing, customer data management, or fraud prevention, understanding the key differences between identity resolution and entity resolution will help you make smarter decisions about data strategy, targeting, and compliance.
Identity resolution is the process of connecting multiple data points to a single individual. It’s about taking fragmented data—like different emails, devices, or purchase records—and tying them together into one unified profile.
✔ Marketing & Advertising – To build complete customer profiles for better targeting.
✔ Sales & CRM Management – To track full customer journeys and interactions.
✔ Customer Experience – To create seamless, personalized engagements across channels.
✔ Fraud Prevention – To prevent duplicate or fake accounts.
The key focus: Resolving data to a known person and tracking their behavior across multiple touchpoints.
Entity resolution is a broader concept that focuses on resolving any kind of entity in a dataset. It doesn’t just deal with people—it also includes companies, devices, locations, and even products.
✔ Data Management & Governance – To clean and standardize business data.
✔ Financial & Compliance Systems – To detect duplicate business records and prevent fraud.
✔ Enterprise & B2B Sales – To merge company profiles across different data sources.
✔ Healthcare & Government – To unify patient records, criminal databases, or census data.
The key focus: Resolving businesses, locations, or other non-human entities to eliminate duplication and standardize records.
Factor | Identity Resolution | Entity Resolution |
---|---|---|
What It Resolves | Individuals (people, customers, users) | Companies, devices, locations, products |
Primary Use Case | Customer data tracking, marketing, personalization | Data governance, fraud prevention, compliance |
Matching Focus | Connecting emails, devices, and behaviors to a person | Unifying records across business databases |
Technology Used | Deterministic & probabilistic identity matching | Machine learning, natural language processing, data cleansing |
While identity resolution and entity resolution serve different purposes, they are often used together to build better customer data strategies.
For example:
Businesses that leverage both approaches can ensure their data is clean, accurate, and actionable—which means better sales, marketing, and decision-making.
If your goal is to understand and track individual customers, focus on identity resolution.
If you need to clean up business records, manage corporate data, or prevent fraud, focus on entity resolution.
For most companies, the best strategy is to combine both for a more complete and accurate data ecosystem.
If you’re tired of disconnected customer data and duplicate records, identity resolution can help you create a single, accurate customer view.
View the Identity Resolution Slide Deck to see how it works. If you’re ready to start using identity resolution the right way, you can purchase it here.
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