Identity resolution has become an important customer-acquisition capability as browser restrictions, signal loss, and privacy requirements reshape marketing. According to Forrester, 21% of marketers in 2024 said updating their data strategy to adapt to data deprecation was their organization’s most important marketing priority, up from 12% in 2023. Forrester notes that these strategies include resolving identities across channels and devices. With the typical household using around 21 connected devices, marketers need reliable ways to connect fragmented customer data into unified profiles that drive acquisition campaigns.
Some organizations need enterprise-scale platforms with hundreds of integrations. Others need faster, more practical ways to turn consumer data into campaign-ready audiences without building complex technology stacks.
Key Takeaways
- Campaign-ready data can speed acquisition. Campaign-ready audience data can reduce the time and resources required to build and manage identity resolution infrastructure.
- Consultative partners can reduce workload. Organizations without dedicated data engineering teams may benefit from partners that deliver processed, segmented audiences ready for activation across channels.
- A data partner can reduce overhead. A data partner approach can reduce platform implementation and ongoing administration requirements while providing access to enriched prospect data.
- Technology ownership is not always necessary. Marketers should evaluate whether they need to own identity-resolution technology or simply need accurate data that supports customer acquisition.
- Specialized audiences support specific campaigns. Audience solutions exist for new movers, retail customers, broadband prospects, and other high-value segments.
What Should You Look for in an Identity Resolution Service for Customer Acquisition?
The right identity resolution service should do more than connect fragmented customer records. For acquisition-focused marketing, it should help teams turn customer and prospect data into audiences that can be accurately targeted and activated across channels. The best fit depends on whether your organization needs a technology platform to manage identity resolution internally or a data partner that can deliver processed, campaign-ready audiences.
Key factors to consider include:
- Data accuracy and match quality: The service should reliably connect records across identifiers, devices, and channels while reducing duplicate or incomplete profiles.
- Audience-building capabilities: Look for the ability to create acquisition audiences based on relevant attributes such as geography, household characteristics, purchase behavior, serviceability, or life events.
- Campaign-ready data: Data should be cleaned, enriched, segmented, and prepared for activation rather than requiring significant additional processing.
- Multichannel activation: The provider should support the channels your campaigns rely on, including direct mail, email, social onboarding, and digital advertising.
- Integration requirements: Consider how easily the solution fits with your CRM, marketing platforms, data warehouse, and existing workflows.
- Privacy and governance: Evaluate how the provider handles consent, data usage, security, and applicable privacy requirements.
- Implementation and ongoing resources: Some platforms require dedicated engineering, configuration, and administration, while a data partner may reduce that operational burden by delivering audiences based on specific campaign requirements.
For customer acquisition, the most suitable approach depends on the campaign objective and the resources available to your team. Organizations that need full control over identity infrastructure may prefer a self-managed platform, while teams focused primarily on reaching qualified prospects may benefit from a partner that delivers enriched, segmented, and activation-ready audience data.
How We Evaluated These Providers
Identity resolution for customer acquisition differs from general data management. A platform that works for customer service analytics may not help you find and reach new prospects.
We evaluated providers based on:
- Match rates and accuracy: How well the platform connects anonymous visitors and fragmented records to actual individuals
- Activation capabilities: Whether you can push resolved audiences directly to advertising platforms, email systems, and direct mail workflows
- Privacy compliance: Support for GDPR principles, CCPA requirements, and evolving state privacy regulations
- Integration depth: Connections with CRM, marketing automation, and data warehouse systems
- Deployment timeline: Whether teams can implement in weeks or months
- Total cost: Platform fees, data costs, implementation, and ongoing administration
More than 200 CDP vendors in the market today offer varying combinations of these capabilities. The following providers represent a range of identity resolution and customer-data options for customer acquisition use cases.
1) DataPartners: Campaign-Ready Audience Data
DataPartners delivers processed, enriched, and segmented audiences ready for customer acquisition campaigns without requiring platform implementation or ongoing technology management.
What Sets DataPartners Apart for Customer Acquisition
Many identity resolution platforms require significant implementation, dedicated data engineering resources, and ongoing platform administration. DataPartners reduces this overhead by delivering campaign-ready audience data tailored to specific acquisition goals.
The consultative approach combines data sourcing, enrichment, segmentation, and delivery in formats ready for direct mail, email append, social onboarding, and programmatic activation. Marketing teams receive processed data matched to their exact campaign specifications rather than raw platform access.
Key Features
DataPartners provides:
- Campaign-ready B2C audience data for customer acquisition
- Specialized segments including new movers, retail customers, and broadband prospects
- Custom data solutions matched to acquisition objectives
- Multi-channel delivery for direct mail, digital, and email activation
- Consultative approach that reduces platform overhead
Implementation Considerations
Because DataPartners delivers campaign-ready audience data rather than a self-managed identity-resolution platform, implementation primarily involves defining campaign objectives, audience requirements, and activation channels.
When to Choose DataPartners
Organizations focused on customer acquisition results rather than technology ownership may benefit from a data partner approach. Teams without dedicated data engineering resources, marketers needing fast time to value, or campaigns requiring specific audience segments may be better suited to processed data solutions than building identity resolution infrastructure.
2) LiveRamp
LiveRamp provides enterprise identity resolution built around RampID, a durable identifier that connects customer data across channels and devices.
LiveRamp serves organizations that need to connect first-party data with advertising platforms, data clean rooms, and partner networks. Its authenticated audience network spans hundreds of global partners.
Key Features
- RampID for portable, cross-channel identity
- 99.5% reported match rate on full PII with complete address data
- Data clean room capabilities for controlled data collaboration
Implementation Considerations
LiveRamp is designed for organizations managing identity resolution across multiple channels, systems, and data environments. Implementation requirements depend on data sources, integrations, governance requirements, and activation use cases.
3) Treasure AI
Treasure AI combines identity resolution, customer data management, and campaign execution in a unified platform. It also incorporates AI-powered decisioning to support audience activation and marketing workflows.
The platform is designed for organizations that want to connect customer profiles with messaging and campaign orchestration without relying on separate tools.
Key Features
- Native email, SMS, and push execution within the platform
- 170+ pre-built connectors including APAC-specific platforms
- Marketing Super Agent with specialist task agents for automation
Implementation Considerations
Implementation requirements vary based on the number of data sources, integrations, identity rules, and activation workflows involved.
4) Salesforce Data 360
Salesforce Data 360, formerly Data Cloud, provides identity resolution within the Salesforce ecosystem, connecting customer data across CRM, Marketing Cloud, and Commerce Cloud.
Organizations already invested in Salesforce can unify customer profiles across sales, marketing, and service data. Einstein AI provides predictive lead scoring and next-best-action recommendations for acquisition workflows.
Key Features
- Native integration with Salesforce CRM, Marketing Cloud, and Service Cloud
- Agentforce 360 for multi-agent collaboration
- Zero-copy data sharing with Snowflake, BigQuery, and Databricks
Implementation Considerations
Implementation requirements depend on the organization’s existing Salesforce footprint, connected data sources, identity-resolution requirements, and intended use cases.
5) Tealium AudienceStream
Tealium combines tag management heritage with CDP capabilities, offering extensive integration options across the market.
Tealium works for compliance-heavy organizations that need to collect data through server-side tracking while connecting to numerous advertising and marketing platforms.
Key Features
- 1,300+ pre-built integrations
- Combined tag management and CDP functionality
- HIPAA compliance with BAA availability
- Predict ML for machine learning-based predictive scoring
Implementation Considerations
Implementation requirements depend on the organization’s data sources, integration requirements, identity rules, and selected Tealium capabilities.
6) Adobe Real-Time CDP
Adobe Real-Time CDP delivers identity resolution within the Adobe Experience Platform, designed for organizations that need real-time segmentation and activation.
Adobe handles real-time personalization for customer acquisition at the point of interaction. The Agent Orchestrator includes purpose-built AI agents for audience creation and campaign workflows.
Key Features
- Adobe Sensei AI for personalization and attribution
- Tight integration with Adobe Analytics, Target, and Journey Optimizer
- Native execution via Adobe Journey Optimizer
Implementation Considerations
Implementation requirements vary based on existing Adobe products, data architecture, integrations, identity configuration, and personalization use cases.
7) Acxiom Real ID
Acxiom Real ID connects offline identity data with digital channels, drawing on Acxiom’s identity and data expertise.
Acxiom handles campaigns that bridge offline consumer data with online targeting. The platform manages both online and offline identity connections for omnichannel acquisition.
Key Features
- 2.6 billion global identities in the identity graph
- Omnichannel data integration across offline and online touchpoints
- Real-time profile updates for timely engagement
- Snowflake partnership for warehouse-native resolution
Implementation Considerations
Implementation requirements depend on the identity sources, activation channels, integrations, and data environments involved.
See how Acxiom compares with DataPartners for audience building, enrichment, and campaign-ready data.
8) Amperity AmpID
Amperity uses machine learning to resolve fragmented customer data into unified customer profiles.
Amperity handles enterprise retail and CPG companies with complex data quality challenges. Customer profiles can be updated with the latest available interactions.
Key Features
- Machine learning for identity resolution
- Customizable merge rules for profile accuracy
- Data enrichment with third-party data integration
Implementation Considerations
Implementation requirements depend on the number and complexity of customer data sources, identity rules, and downstream activation requirements.
9) Experian Identity Resolution
Experian combines offline consumer identity data with digital identifiers to support identity resolution and cross-channel marketing through products including Consumer Sync and its Digital Graph.
Experian combines broad consumer and household marketing data with identity-resolution capabilities for audience targeting and measurement.
Key Features
- Identity data covering 300+ million U.S. consumers and 126+ million U.S. households
- Digital identity capabilities across devices and identifiers
- Consumer Sync for ID-agnostic audience activation
- Behavioral insights into purchase intent
Implementation Considerations
Implementation requirements vary according to the identity products, data sources, matching requirements, and activation channels selected.
10) CustomerLabs 1PD Ops
CustomerLabs provides first-party data operations with identity resolution for mid-market companies prioritizing data control.
CustomerLabs handles first-party identity resolution and real-time profile stitching without requiring a warehouse or SQL.
Key Features
- Stitcher technology for merging logged-in and anonymous profiles
- Cross-platform user ID merging from HubSpot, Intercom, and Drift
- B2B account-level merging for account-based marketing
- Privacy, consent-management, and data-governance features designed to support GDPR- and CCPA-related workflows
Implementation Considerations
Implementation requirements depend on the customer data sources, CRM systems, advertising platforms, and identity signals being connected.
11) Hightouch
Hightouch provides warehouse-native activation through reverse ETL, enabling identity resolution without duplicating data.
Hightouch serves organizations with mature data warehouses and strong data engineering teams. The platform offers Adaptive Identity Resolution for warehouse-native identity matching.
Key Features
- 300+ reverse ETL destinations
- SQL-first audience building for data engineering teams
- Adaptive Identity Resolution
- AI Decisioning for campaign-level optimization
Implementation Considerations
Implementation requirements depend on the quality and structure of the organization’s existing warehouse data, identity model, and activation requirements.
12) Opensend
Opensend provides identity resolution specifically for ecommerce, with native Shopify integration.
Opensend states that it identifies 25–35% of anonymous website visitors and achieves a 73% match rate for U.S. shoppers. The company also states that supported Shopify configurations can be set up in under five minutes.
Key Features
- Native Shopify app with direct Klaviyo sync
- Proprietary identity graph and opt-in consumer network
- Five complementary products in a unified system
Implementation Considerations
Implementation requirements depend on the ecommerce platform, marketing integrations, and activation workflows being used.
13) FullContact
FullContact provides identity matching and data enrichment for mid-market companies.
FullContact enriches existing customer databases with job titles, locations, and interests to support acquisition lookalike modeling.
Key Features
- Real-time API for identity matching
- Profile enrichment with demographic and firmographic data
- Profile enrichment without third-party cookie reliance
Implementation Considerations
FullContact’s identity-resolution capabilities are primarily API-based, so implementation depends on development resources, available identifiers, data inputs, and required enrichment workflows.
14) Segment (Twilio)
Segment provides customer data infrastructure with identity resolution for developer-led organizations and product-led growth companies.
Segment provides programmatic control over data collection and routing. 450+ pre-built integrations enable activation across advertising and marketing platforms.
Key Features
- Segment Unify for identity resolution
- CustomerAI Predictions for LTV and churn modeling
- Generative Audiences for natural language audience creation
Implementation Considerations
Implementation requirements depend on the number of data sources, destinations, tracking requirements, and identity-resolution features being used.
15) Zeta Global CDP Plus
Zeta Global combines identity resolution with campaign execution and propensity modeling in a single platform.
Zeta works for organizations seeking to consolidate identity resolution, decisioning, journey orchestration, and activation within one platform.
Key Features
- AI-powered data cloud with propensity modeling
- First-party data operations built in
- Cross-channel customer profiles for omnichannel marketing
Implementation Considerations
Implementation requirements depend on the organization’s first-party data sources, identity requirements, desired activation channels, and existing marketing technology.
16) Oracle Unity
Oracle Unity provides identity resolution connected to ERP, supply chain, and finance data within the Oracle Fusion ecosystem.
Oracle Unity serves organizations that need customer profiles joined to operational records like orders, contracts, and product usage for acquisition targeting.
Key Features
- 27+ ready-to-use AI models in Intelligence Workbench
- Prebuilt B2B, B2C, and industry data models
- Customer profiles connected to back-office data
Implementation Considerations
Implementation requirements depend on the organization’s existing Oracle environment, connected enterprise systems, data models, identity rules, and activation use cases.
Why DataPartners Fits Customer Acquisition Needs
Not every organization needs to build and manage identity resolution infrastructure. For many marketing teams, the priority is getting campaign-ready data that supports customer acquisition without adding another complex platform to administer.
DataPartners provides a consultative alternative by delivering processed, enriched, and segmented audiences ready for direct mail, email, social onboarding, and digital activation.
Key advantages include:
- Campaign-ready audience data. Marketing teams receive custom data solutions matched to specific acquisition objectives.
- Specialized audience segments. Organizations can access new mover data, retail audience data, and broadband acquisition audiences based on campaign needs.
- Reduced platform overhead. Teams can access processed and segmented data without building and administering their own identity-resolution infrastructure.
- Flexible activation options. Audiences can be prepared for direct mail, email, social onboarding, and digital activation based on campaign requirements.
For organizations focused on customer acquisition rather than technology ownership, DataPartners provides a practical way to access targeted audience data while reducing the implementation and administration requirements associated with managing an identity-resolution platform.
Frequently Asked Questions
How does identity resolution improve customer acquisition ROI?
Identity resolution reduces wasted ad spend by connecting fragmented customer data into unified profiles. This enables more accurate targeting, reduces duplicate outreach, and helps marketers identify true prospects rather than existing customers.
What is the difference between identity resolution and traditional list buying?
Identity resolution focuses on connecting data you already have across channels and devices. Traditional list buying provides new prospect records for outreach. Many customer acquisition strategies benefit from both: identity resolution to understand existing customers and qualified prospect data to find new ones.
Can identity resolution work for both B2B and B2C acquisition?
Yes. Identity resolution can support both B2B and B2C use cases. B2B identity resolution adds account-level matching and parent-HQ linkage, while B2C focuses on household and individual identity across devices.
What are the privacy considerations for identity resolution?
Privacy and compliance capabilities vary by vendor, deployment, data flow, and use case. First-party data approaches have gained importance as browser restrictions, ad blockers, and other forms of signal loss affect tracking. Organizations should verify compliance certifications and consent management capabilities before implementation.
When should a company use a data partner instead of building identity resolution?
Organizations without dedicated data engineering teams, those needing fast time-to-value, or marketers focused on specific campaign goals often benefit from working with a custom data partner. The right choice depends on whether you need technology ownership or simply need accurate, processed data ready for campaign activation.