September 28, 2026

Best Identity Resolution Services for Customer 360

Deloitte found that the number of connected devices in the average U.S. household stood at 21 in 2023, illustrating how customer interactions can span numerous devices and digital touchpoints. For marketing teams, the challenge is not a lack of data but connecting signals across those touchpoints to recognize the same customer and create a consistent view.

The problem is not a lack of data; it is fragmented data scattered across devices, channels, and systems that never connects into a single actionable view.

Identity resolution services solve this by stitching together customer data points into a unified Customer 360 profile. For marketers focused on acquisition, retention, and audience building, the right identity resolution approach can mean the difference between wasted spend on duplicated outreach and more precise targeting.

The identity resolution market reflects this urgency. Market size was valued at $1.54 billion in 2025 and is projected to reach $4.48 billion by 2031, representing a 20% CAGR from 2026 to 2031, according to the latest market forecast. That growth signals both opportunity and complexity. Choosing the wrong platform can create unnecessary workflow and implementation challenges, while the right fit can help transform fragmented customer data into actionable marketing insights.

Key Takeaways

  • Campaign-ready data comes first. DataPartners starts with business objectives rather than database technology, delivering processed, cleaned, and layered data for direct mail, email, social onboarding, and digital activation.
  • Audience building goes beyond identity matching. The DataPartners approach focuses on serviceable markets, household characteristics, purchase likelihood, and life events rather than only creating unified profiles of existing customers.
  • Identity resolution connects fragmented customer data. These platforms link data across devices, channels, and systems using deterministic and probabilistic matching techniques to support a unified Customer 360 view.
  • Campaign goals should guide the solution. Organizations needing custom audience development may find that working with a marketing data partner is a better fit than relying only on a generic identity resolution tool.
  • Audience quality impacts activation. Strong audience building depends on clean, relevant, and properly prepared data that aligns with the campaign objective.

Understanding Identity Resolution and Audience Building

Identity resolution helps marketers connect fragmented customer records across devices, channels, and systems to create a more unified view of each customer. But building an effective marketing audience often requires more than matching identities. It also involves preparing the right data around the specific campaign objective.

Key areas to consider include:

  • Customer identity: Connecting records that belong to the same person or household across different data sources and touchpoints.
  • Data quality: Cleaning, standardizing, deduplicating, and enriching records before they are used for targeting or activation.
  • Audience development: Identifying the customers or prospects that best align with campaign goals, geography, serviceability, household characteristics, or relevant life events.
  • Campaign readiness: Preparing audience data for channels such as direct mail, email, social onboarding, and digital activation.
  • Objective-led targeting: Building audiences around the desired business outcome rather than relying only on existing customer profiles or generic database filters.

This is where DataPartners takes a broader approach. Instead of focusing only on linking existing customer identities, DataPartners helps marketers build, clean, enrich, segment, and prepare audiences around the campaign objective.

How We Evaluated These Providers

Identity resolution is not one-size-fits-all. A broadband provider targeting serviceable households has different requirements than a retailer building omnichannel loyalty profiles. A B2B marketer linking accounts across decision-makers also needs different matching logic than a consumer brand tracking cross-device journeys. We evaluated providers based on how well they support key marketing identity resolution needs.

  • Matching and resolution: Ability to connect records across devices, channels, and offline touchpoints using deterministic, probabilistic, or hybrid matching.
  • Identity persistence: Ability to maintain a consistent customer identity as signals and identifiers change.
  • Resolution speed: Support for real-time, near-real-time, or batch matching based on activation needs.
  • Privacy and governance: Support for GDPR, CCPA, consent management, transparent data handling, and appropriate security controls.
  • Integration and activation: Compatibility with marketing platforms, CRMs, data warehouses, and digital or offline activation channels.
  • Data quality: Ability to improve data quality through hygiene, deduplication, enrichment, and incomplete-data handling.
  • Control and transparency: Visibility into matching rules, confidence scores, thresholds, and use-case-specific resolution logic.

A practical evaluation should consider whether a provider gives teams sufficient control and visibility over matching rules, confidence thresholds, and use-case-specific resolution logic.

1) DataPartners: Campaign-Ready Data

DataPartners helps marketers build campaign-ready data audiences by starting with the business objective, not the database.

Key Features

Rather than simply providing identity resolution technology that may require additional processing, DataPartners focuses on delivering data that is processed, cleaned, enriched, segmented, and prepared for campaign activation.

This includes:

  • Broadband providers targeting non-subscribers in serviceable markets with data built around geography, serviceability, and household characteristics
  • Retailers acquiring and retaining customers with audiences built around relevant consumer, geographic, demographic, and life-event characteristics
  • Multichannel audience preparation for direct mail, email, social onboarding, and digital campaigns
  • Mover data that identifies households experiencing or approaching address changes, creating acquisition and retention opportunities
  • Data hygiene, matching, deduplication, enrichment, and campaign-specific preparation

The DataPartners Approach

The focus is on building the right audience for the campaign goal rather than just linking existing customer records. For organizations where campaign objectives drive data requirements, this approach addresses the core challenge: not just recognizing customers across touchpoints, but identifying and reaching the right prospects in the first place.

DataPartners supports organizations that need unified customer identity as part of a broader campaign data strategy, combining data processing, targeting, enrichment, and preparation for activation.

2) LiveRamp 

LiveRamp provides enterprise identity resolution infrastructure for organizations that need cross-channel addressability at scale.

Key Features

LiveRamp’s RampID provides a persistent identifier designed to connect identity signals across supported digital environments and activation channels.

  • 99.5% match rate on full PII with complete address data in a third-party Comscore CustomIQ analysis
  • Identity connectivity across supported digital platforms, publishers, and activation environments
  • Data clean-room and identity translation capabilities
  • Enterprise identity infrastructure with configurable workflows

The 99.5% figure applies specifically to the Full PII with complete address dataset evaluated in the cited analysis and should not be treated as a universal match rate for every dataset or implementation.

3) Acxiom Real ID 

Acxiom Real ID combines identity resolution with a broader enterprise marketing services suite, including data enrichment, audience building, and activation capabilities.

Key Features

Acxiom brings an established consumer data and identity business to identity resolution and supports customer-data enrichment and enterprise marketing workflows.

  • Identity resolution across offline and digital customer data
  • Consumer data enrichment
  • Omnichannel data integration
  • Audience development and activation capabilities
  • Integration with modern cloud-data environments, including Databricks

Organizations should confirm current identity coverage, enrichment attributes, integrations, and permitted data uses for their specific requirements.

For the full picture, take a look at this Acxiom and DataPartners comparison.

4) Amperity AmpID 

Amperity is a customer data platform with identity resolution technology designed to handle fragmented and inconsistent customer data.

Key Features

Amperity uses deterministic and probabilistic matching approaches to work across inconsistent records, duplicate profiles, and incomplete data.

  • Deterministic and probabilistic identity resolution
  • Matching across incomplete and fragmented customer records
  • Configurable matching and merge rules
  • Identity graphs for unified customer profiles
  • Machine-learning-supported matching methods

These capabilities are designed to help organizations resolve customer identities even when exact identifiers are not consistently available.

5) Hightouch 

Hightouch offers identity resolution that operates with data in an organization’s existing data infrastructure, allowing teams to build identity graphs without moving their primary source of truth into a separate CDP database.

Key Features

For organizations that have invested in Snowflake, BigQuery, Databricks, or similar infrastructure, Hightouch keeps identity-resolution workflows close to existing warehouse data.

  • Identity graphs built using warehouse data
  • Deterministic and probabilistic matching options
  • Configurable identity-resolution rules
  • 200+ integrations for data activation
  • Composable CDP architecture

For teams using Hightouch, strong data quality practices can help improve the consistency and usability of customer records used for identity resolution.

6) Experian Consumer Sync 

Experian Consumer Sync links offline and digital identifiers to support cross-channel identity resolution and measurement at scale.

Key Features

Experian provides a large-scale identity graph that connects hundreds of millions of individuals with billions of digital identifiers, enabling identity resolution across multiple digital environments.

  • Approximately 250 million individuals in its U.S. Digital Graph
  • More than four billion digital identifiers
  • Cross-device identity connections across web, mobile, CTV, and other supported environments
  • Consumer data enrichment capabilities through related Experian products
  • Identity infrastructure for cross-channel activation and measurement

Specific coverage and identifier counts can change over time, so organizations should verify current figures during evaluation.

Evaluating different data providers? Review these alternatives to Experian.

7) Tealium 

Tealium is a customer data orchestration platform with more than 1,300 integrations and consent and governance capabilities built into its customer-data workflows.

Key Features

Tealium combines customer-data collection, identity resolution, consent management, governance, and activation.

  • Real-time identity resolution
  • Consent controls at data collection
  • 1,300+ integrations
  • Cloud data warehouse integrations
  • Consent and governance functionality
  • Real-time and triggered activation workflows

Tealium currently states that it serves more than 850 enterprise customers and orchestrates billions of events daily.

Healthcare organizations evaluating Tealium should review its specific healthcare or Private Cloud configurations and confirm applicable HIPAA, HITECH, security, and BAA requirements with their compliance and legal teams.

8) Treasure AI

Treasure AI is a customer data platform that combines customer-profile unification with data management, analytics, and activation capabilities.

Key Features

Treasure AI supports identity resolution for customer records using deterministic and probabilistic approaches.

  • Deterministic identity resolution
  • Probabilistic identity resolution
  • Customer-profile deduplication and unification
  • Data governance capabilities
  • Integration with enterprise data sources and activation systems

The specific identity-resolution architecture and available matching options should be evaluated against each organization’s customer-data requirements.

9) FullContact 

FullContact combines identity resolution with data enrichment through API-based services designed for customer matching and profile enrichment.

Key Features

FullContact’s API-oriented approach allows organizations to incorporate identity and enrichment functionality into existing applications and data workflows.

  • API-based identity resolution and profile enrichment
  • Persistent identity capabilities
  • Customer-data enrichment
  • Integration into existing data and application workflows
  • Privacy and data-governance controls

Available enrichment attributes, coverage, and permitted uses can vary, so buyers should confirm current capabilities for their intended application.

10) CustomerLabs 1PD Ops

CustomerLabs 1PD Ops is a platform designed for first-party data operations with a focus on collecting, resolving, and activating customer data.

Key Features

CustomerLabs can connect anonymous website activity with identified profiles when recognized identifiers become available.

  • First-party data collection and identity resolution
  • Anonymous-to-known profile stitching
  • Audience building and activation
  • User and account-level profile management
  • External identifier matching
  • Consent and privacy-related controls

Its approach is primarily centered on first-party customer and behavioral data rather than third-party prospect-audience development.

11) Zeta Marketing Platform 

Zeta Marketing Platform combines customer identity, data management, decisioning, and marketing activation capabilities.

Key Features

Zeta processes customer data and identity signals to create unified customer profiles that can support audience development, decisioning, activation, and measurement.

  • Customer identity unification
  • Deterministic profile merging
  • Real-time customer-data processing
  • AI-assisted decisioning and engagement capabilities
  • Cross-channel activation
  • Flexible integration with first-party and other permitted datasets

Because Zeta combines identity with a broader marketing platform, organizations should evaluate whether they need the full set of marketing execution capabilities or a narrower identity-resolution solution.

Why Choose DataPartners for Audience Building

Identity resolution platforms are designed to connect fragmented customer records. But for many marketing teams, the bigger challenge is building the right audience for the campaign in the first place.

A broadband provider targeting non-subscribers in serviceable markets needs more than identity matching. It needs data built around geography, serviceability, and household characteristics. Likewise, a retailer acquiring new customers may need audiences based on purchase propensity, geography, household attributes, or life events rather than only unified profiles of existing customers.

DataPartners helps marketers build campaign-ready audiences by starting with the business objective, not the database. Data can be cleaned, matched, deduplicated, enriched, segmented, and prepared for activation instead of leaving marketing teams with raw records that require additional processing.

Key Features include:

  • Serviceable audience targeting. Use serviceable address data to build audiences around geography, serviceability, and household characteristics.
  • Mover audience identification. Use mover identification to support acquisition and retention campaigns around household moves and address changes.
  • Data enrichment. Strengthen existing customer and prospect records with data enrichment that helps improve audience quality and campaign readiness.
  • Campaign-ready preparation. Prepare audiences for direct mail, email, social onboarding, and digital activation based on specific campaign requirements.
  • Objective-led audience building. Develop audiences around the business goal rather than relying only on generic identity resolution or prebuilt database filters.

For organizations where the campaign objective comes before the technology choice, DataPartners provides a campaign-focused approach that goes beyond simply linking existing customer profiles. The focus is on preparing the right audience for the right campaign and making that data ready for activation.

Frequently Asked Questions

What is identity resolution and why is it essential for Customer 360?

Identity resolution links fragmented customer data across devices, channels, and systems into a unified profile. This is important for Customer 360 because, without effective matching, the same customer can appear as multiple separate records, contributing to duplicated outreach, inconsistent experiences, and inefficient marketing spend.

How do deterministic and probabilistic matching differ?

Deterministic matching links records using exact or directly associated identifiers such as email addresses, phone numbers, or customer IDs. Probabilistic matching uses statistical or machine-learning methods to estimate whether records belong to the same person when exact matches are not available. Some platforms use both methods depending on the use case and required confidence level.

Can identity resolution help with both customer acquisition and retention?

Yes, although it serves different roles in each case. For acquisition, identity resolution can help deduplicate or suppress known customers from prospect audiences, but identifying net-new prospects still requires an appropriate prospect data source. For retention, identity resolution can unify customer records, while separate mover or life-event data can provide additional signals for timely outreach.

What role does data processing play in identity resolution accuracy?

Data processing is foundational. Before identity resolution can work effectively, data may need to be cleaned, standardized, deduplicated, and formatted consistently. Poor data quality can limit match effectiveness regardless of how sophisticated the identity-resolution approach is. Organizations should therefore evaluate data hygiene alongside matching capabilities.

How does identity resolution support multichannel marketing?

Identity resolution can provide a consistent identity layer that is mapped or onboarded into supported channels such as direct mail, email, social, CTV, and digital media. This can support more consistent targeting and measurement, but specific activation and attribution capabilities depend on the provider, integrations, consent requirements, and available identifiers.