Identity Resolution vs. Data Enrichment: Differences and Workflow

Identity resolution determines whether records or identifiers refer to the same person or company. Data enrichment adds or refreshes attributes, such as a company industry or a contact role. They solve different problems: a richer record can still be attached to the wrong entity.

Use enrichment when the subject is established and you need additional fields. Resolve identity first when duplicates, conflicting identifiers or uncertain associations could send those fields to the wrong record. Test the matching decision and the appended information separately.

The practical difference

• Resolution question: Do these records concern the same entity?
• Resolution result: A link, non-link or unresolved case, with supporting evidence.
• Enrichment question: Which relevant attributes can an authorized source add?
• Enrichment result: Additional fields with source and retrieval context.
• Activation question: Is the record suitable and permitted for the intended next action?

Matching, enrichment and activation are separate decisions. An available email address does not prove that two records belong together. A correctly matched contact does not automatically authorize a text message.

Example: correct field, wrong person

This is an original hypothetical example. A CRM contains two people named Alex Chen at different companies. An enrichment source returns a current job title for one Alex. If you attach it to the other record because the names match, the source field may be correct while your record is wrong.

Review distinguishing evidence such as an appropriate account identifier and current employment context. Do not merge on a common name alone. Keep the original values and a reversible change record so a mistaken association can be corrected.

When enrichment alone can be enough

A clean account list with established internal IDs may need only refreshed company attributes. Define the required field, allowed source, overwrite rule and review process. An external source still needs to be mapped to the correct internal account.

Check whether the identifier is shared, recycled or ambiguous. A company domain may cover multiple locations or subsidiaries, and a role-based inbox may be used by several people. “Exact match” is a rule description, not a guarantee of correct identity.

When to resolve identity first

Resolution becomes important when different systems use different IDs, duplicates disagree, a contact changes employers or a downstream action depends on the right company hierarchy. Use rules that reflect the entity you are trying to identify.

A device, a company and a person are different entities. Associating a visit with a probable company should not silently become identification of a named employee. Keep each link’s evidence and uncertainty visible.

The UK government’s data-linkage quality guidance distinguishes false links from missed links. Shared or weak identifiers can link different people incorrectly; missing information or changes can prevent a true link. The choice of threshold depends on the consequences of each error.

A practical sequence for a small evaluation

1. Define the entity: Person, company or another clearly stated unit.
2. Preserve the inputs: Keep original values and their source context.
3. Normalize carefully: Standardize formats without automatically merging records.
4. Review candidate links: Accept, reject or hold according to documented evidence.
5. Append needed attributes: Record the source and date, and avoid unnecessary fields.
6. Validate: Check identity and field correctness separately.
7. Approve the next action: Apply relationship, suppression and channel rules.
8. Correct and maintain: Refresh stale fields and unwind mistaken links.

Set field-specific overwrite rules. A recent enrichment result should not automatically replace a value supplied directly by the customer. When sources disagree, record the conflict and assign review instead of pretending the choice is certain.

Evaluate matching and field quality separately

For an original example, a process links 100 candidate pairs. Review finds 90 correct and ten wrong. Precision among those proposed links is 90%. That says nothing about how many true links were missed unless the broader test set establishes them.

Suppose an enrichment step fills 80 of 100 requested role fields. Its fill rate is 80%, but completeness does not establish correctness or freshness. Review the field values against suitable evidence and report unresolved cases.

A representative evaluation should include duplicates, shared fields, role changes, missing values and expected nonmatches. Keep the sample, definitions and measurement period beside the results. Avoid universal match-rate claims based on a selected success sample.

Where BrandWell products fit

MarketPulse supports topic research and ICP filtering, with plans starting at $500/mo. Review available people, company details and contact fields in context. A pull retrieves available data from the previous 24 hours; counts, fields and overlap vary.

Starter includes one topic with weekly refreshes and 25,000 monthly exports. Growth includes three topics with daily refreshes and 100,000 exports. Scale includes ten topics with daily refreshes and unlimited exports. Growth and Scale include AIMEE for the initial user.

TrafficID addresses identifiable activity on your own website, with variable coverage. Neither product should be assumed to provide a custom identity graph, master-data system or every field in an enrichment specification.

Use configured Automations and tools for assigned work with the appropriate review and permissions. This article’s matching sequence is a design example, not a claim that every step is a native button in the application.

Include review and correction in the cost

Count data access, implementation, review time and downstream repair, not only requests processed. For an original example, $200 of access and $300 of review labor total $500. If 50 records are accepted for the intended workflow, cost is $10 per accepted record before other costs. A raw request count would answer a different question.

Keep client work separated and confirm permitted sharing and retention. Do not send SMS reminders to an enriched mobile number merely because it is present; the required permission must come from the relevant opt-in process.

Resolution and enrichment questions

Does enrichment fix duplicates?

Not by itself. Additional fields can help review candidates, but the merge decision still needs its own rules and evidence.

Is a company match the same as identifying a person?

No. Preserve the entity level and do not attribute account-level activity to a separate contact without evidence.

What should I do first?

Define the decision and examine a small representative sample. If your task is topic-based audience research, review MarketPulse’s demo and current plans before designing a larger workflow.

Reviewed and updated October 2, 2026.

Written by

Farnaz Kia