What Are Third-Party Data Providers?
Third-party data providers are companies that collect, aggregate, and license consumer data to marketers, advertisers, and brands that have no direct relationship with the individuals in that data. Unlike first-party data, which a brand collects from its own customers, third-party data is sourced externally, often from hundreds of publishers, data brokers, loyalty programs, and public records compiled under one roof.
The market is substantial. The global data broker industry stood at approximately $268 billion in 2022 and continues to grow as advertisers seek richer audience profiles beyond what their own CRMs can provide.
How Third-Party Data Providers Collect Data
Providers gather data through several channels, often combining them to build unified consumer profiles:
- Publisher networks: Agreements with thousands of websites and apps that share behavioral signals, purchase intent, and browsing patterns via cookies or SDKs.
- Public records: Property records, vehicle registrations, court filings, and census data, all of which contribute to demographic and financial profiles.
- Loyalty and transaction data: Retail purchase history from grocery chains, pharmacies, and credit card consortiums.
- Surveys and panels: Opt-in research panels where participants share detailed lifestyle, preference, and income data in exchange for rewards.
- Connected device signals: Location pings from mobile apps, smart TV ACR (Automatic Content Recognition) data, and IoT device usage patterns.
Acxiom, one of the largest data brokers, maintains profiles on roughly 2.5 billion consumers globally, with up to 10,000 attributes per individual covering demographics, purchasing behavior, financial indicators, and life events.
Major Third-Party Data Providers
| Provider | Data Specialization | Notable Clients |
|---|---|---|
| Acxiom | Consumer demographics, purchase behavior, identity resolution | Fortune 500 retailers, financial services |
| Nielsen | TV viewership, media consumption, audience measurement | TV networks, CPG brands |
| Experian Marketing Services | Financial indicators, credit-based segments, household data | Automotive, mortgage, insurance advertisers |
| Oracle Data Cloud (Datalogix) | Offline purchase data, CPG, retail transaction signals | FMCG brands running digital campaigns |
| LiveRamp | Identity resolution and data connectivity rather than raw segments | Agencies, DSPs, walled garden activation |
| IRI | CPG purchase data, retail scan data, shopper analytics | Consumer packaged goods manufacturers |
How Marketers Use Third-Party Data
The primary use cases fall into three categories: audience expansion, audience enrichment, and lookalike modeling.
Audience Expansion
A brand with 500,000 CRM records can use a third-party provider to find additional consumers who match the same profile. A car manufacturer targeting households with incomes above $120,000 and two or more vehicles registered can license a segment from Experian and activate it programmatically across display, video, and connected TV. Some call this audience segmentation at scale.
Audience Enrichment
Brands append third-party attributes to their existing customer records to deepen understanding. A retailer might match its email list against Acxiom to layer on life stage data (new homeowner, new parent, pre-retiree) and then personalize messaging accordingly. The match rate on a well-maintained CRM list typically runs between 40% and 70%, depending on data quality and the provider’s coverage.
Lookalike Modeling
Providers supply the seed audience; the algorithm finds statistical twins. The basic formula is:
Lookalike Score = Similarity(Seed Attributes, Prospect Attributes) × Propensity Weight
Platforms like The Trade Desk and DV360 ingest third-party segments directly, allowing buyers to bid on users matching specific provider-defined profiles without building the model from scratch.
Pricing Models
Providers typically price third-party data in one of three ways:
- CPM add-on (data CPM): A fee layered on top of media costs, usually between $0.50 and $3.00 CPM depending on segment specificity. A highly targeted segment, such as “in-market luxury auto buyers,” often carries a $2.50 to $5.00 CPM premium.
- Flat licensing fee: An annual or quarterly fee for access to a full data asset or specific category. Common in offline enrichment and CRM append use cases.
- Revenue share: Less common, but used in retail media contexts where the data owner takes a percentage of attributed sales lift.
Total data costs can represent 20% to 40% of a programmatic campaign’s total spend when targeting niche, high-intent segments. Marketers should factor data CPM into effective CPM calculations to accurately measure true media efficiency.
Privacy Regulations and the Third-Party Data Market
The passage of GDPR in Europe (2018) and CCPA in California (2020) significantly tightened compliance requirements for third-party data usage. Data providers operating in regulated markets must demonstrate lawful basis for collection, maintain opt-out mechanisms, and provide data lineage documentation on request.
Google’s years-long plan to remove third-party cookies from Chrome ended with an unexpected reversal in 2024, when Google announced it would keep cookies in place while exploring user-choice alternatives through its Privacy Sandbox initiative. Providers had already begun shifting infrastructure toward cookieless alternatives, investing in identity graphs built on hashed emails, mobile advertising IDs (MAIDs), and deterministic matching through partnerships with publishers and retailers. Safari and Firefox had already blocked third-party cookies by default, so the broader shift toward cookieless identifiers continues regardless of Google’s reversal.
Marketers sourcing third-party data should request a Data Processing Agreement (DPA) and confirm whether the provider’s segments are cookied, ID-based, or contextual. That distinction determines how they can be activated across channels. When integrating data through a data management platform, the activation method also affects match rates and scale.
Third-Party Data vs. First- and Second-Party Data
Third-party data offers breadth at the cost of precision and exclusivity. Second-party data, which is another company’s first-party data acquired through a direct partnership, carries better signal quality but limited scale. First-party data provides the highest accuracy but reflects only existing customers and prospects the brand has already reached.
In practice, most advertisers blend all three. A financial services brand might use its CRM (first-party) to anchor audience strategy, then layer on a partner’s cardholder data (second-party) for intent signals, and finally extend reach through an Experian or Acxiom segment (third-party) in programmatic advertising campaigns targeting net-new acquisition.
Evaluating a Third-Party Data Provider
Key criteria for assessment include:
- Coverage: What percentage of your target market does the provider reach? Ask for addressable universe estimates before committing.
- Freshness: How frequently is the data refreshed? Purchase intent data older than 30 to 60 days loses significant predictive value.
- Match rate: For enrichment use cases, what match rate can the provider deliver against your specific file type?
- Compliance documentation: Does the provider supply DPAs, consent chain documentation, and a clear opt-out process?
- Activation compatibility: Is the data available through your preferred DSP or DMP without additional integration lift?
Third-party data providers remain a critical layer in the modern marketing data stack, particularly for brands in early customer acquisition phases or those operating in categories where building a large first-party database is structurally difficult. The key is treating them as one input in a layered data strategy rather than a standalone solution.
Frequently Asked Questions: Third-Party Data Providers
What is the difference between first-party and third-party data?
First-party data is information a brand collects directly from its own customers through purchases, website visits, or app interactions. Third-party data is collected by an external company with no direct relationship to the consumer and licensed to brands at scale. First-party data is more accurate and privacy-safe; third-party data offers broader reach and audience attributes a brand could not generate on its own.
Are third-party data providers legal?
Third-party data providers operate legally in most markets, but compliance requirements vary by region. GDPR in the EU requires providers to demonstrate lawful basis for data collection, while CCPA in California gives consumers the right to opt out of data sales. Brands using third-party data should request a Data Processing Agreement (DPA) from any provider to confirm compliance documentation before activation.
How accurate is third-party data?
Accuracy varies significantly by data type and provider. Purchase-based segments sourced from actual transaction data, such as those from Acxiom or IRI, tend to be more reliable than inferred interest segments built from browsing behavior. Match rates for CRM enrichment typically fall between 40% and 70%, meaning some records will not match. For critical decisions, brands should validate third-party segments against known first-party performance data before scaling spend.
What are the best third-party data providers for digital advertising?
The right provider depends on use case. Acxiom leads for demographic enrichment and identity resolution. IRI and Oracle Data Cloud (Datalogix) specialize in CPG and retail purchase data. Nielsen is dominant for media consumption and TV audience segments. LiveRamp is the primary choice for identity connectivity and activating data across platforms rather than supplying raw segments. Experian Marketing Services is widely used in automotive, insurance, and financial services.
How is third-party data priced?
Third-party data is most commonly priced as a CPM add-on, layered on top of media costs. Rates range from $0.50 to $3.00 CPM for broad segments, rising to $2.50 to $5.00 CPM for high-intent niche audiences like in-market luxury auto buyers. Flat licensing fees are standard for CRM enrichment use cases, while revenue-share models appear in some retail media contexts.