Data as a Service Platform: The Complete Guide for Agencies and Advertisers

A Data as a Service Platform is becoming one of the most powerful tools in modern digital marketing. With targeting restrictions increasing, privacy regulations tightening, and advertising platforms limiting access to high quality data, agencies and advertisers need a new way to gain control of their audience targeting. Data as a Service provides that solution by allowing businesses to own, enrich, and activate verified audience data across any platform. This pillar guide explains exactly what a Data as a Service Platform is, why it matters, and how agencies use AudienceLab to build profitable and scalable DaaS offers.

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280M

US based consumers in
our database.

95%

Accuracy on fully contact data with our online2offline database.

60B

Over 60 billion behaviours and URL’s scanned every single week.

1000+

Thousands of advertisers and agencies using AudienceLab for their campaigns.

What Is a Data as a Service Platform

A Data as a Service Platform is a system that allows businesses to collect, enrich, store, and activate audience data across multiple channels without relying on a single advertising platform. Instead of running targeting through platform owned audiences, a DaaS platform gives you direct ownership and control of the data that powers your campaigns.

A Data as a Service Platform typically includes:

  • Audience enrichment

  • Identity resolution

  • Behavioral data analysis

  • Activation across ad platforms and CRMs

  • Direct syncing to sales systems

  • First party and third party data matching

  • Automation to eliminate manual work

The goal is to give agencies and advertisers a scalable way to deliver accurate audience segments through verified data rather than platform assumptions.

Why Data as a Service Is Growing in Demand

Marketing used to rely on detailed platform targeting. Over time, those capabilities have been restricted or removed entirely. Agencies that once depended on platform defined audiences now find themselves with less accuracy, lower match rates, and weaker performance.

Several market forces are driving the rise of Data as a Service:

Platform Targeting Is Declining

Meta, Google, and other platforms have removed detailed interests, restricted demographic insights, and pushed advertisers toward broad audiences. This limits precision and forces advertisers to spend more to find the right people.

Privacy Regulations Are Reshaping Data

With GDPR, CCPA, and global privacy updates, third party cookies and tracking methods are disappearing. Agencies need compliant ways to target without losing accuracy.

Agencies Want Margin Friendly Models

Traditional agencies rely heavily on labour. More clients require more staff. DaaS allows agencies to scale revenue without scaling fulfilment.

Advertisers Want Better Inputs

Advertisers have realized that strong data beats weak targeting. Verified profiles, behavioral insights, and high match rates improve performance more than creative or manual optimization alone.

Businesses Need Independence

Relying solely on platform data is risky. When platforms change rules, remove features, or limit reach, advertisers lose leverage. DaaS provides independence and control.

Why Agencies and Advertisers Are Switching to AudienceLab Data as a Service

Higher Profit, Lower Effort

Traditional agencies rely on manpower. Account managers, designers, and ad specialists all take time and margin.

Data as a Service flips that model. You sell verified audiences and insights instead of hours and deliverables.

Verified Data That Outperforms

Meta, Google, and other ad platforms only give you a limited view of your audience.
AudienceLab connects verified online and offline data with real-time behavioral insights for a 95 percent accuracy rate.

You can build both B2B and B2C audiences that match your clients’ true buyers, not broad interest groups or random lookalikes

Scale Without Hiring or Burnout

Most agencies reach a ceiling when growth requires more people. More clients mean more staff, which increases costs and stress.

AudienceLab’s Data as a Service model lets you scale without expanding your team. Each new client adds profit, not workload.
You can manage multiple accounts easily and automate most of your fulfillment through AudienceLab’s integrations.

What Is Data as a Service and Why It Changes Everything

Data as a Service gives advertisers and agency owners direct access to verified audience data on demand. Instead of depending on ad platforms that hide insights and limit targeting, AudienceLab gives you full control of your own data ecosystem.

With more than 280 million verified profiles and over 60 billion weekly behaviors, you can build precise audiences, activate them across any ad platform, and scale results instantly without managing ad accounts or endless client deliverables.

This is the next evolution of marketing services: data-driven, efficient, and built for profit.

Why Agencies and Advertisers Are Switching to AudienceLab Data as a Service

Higher Profit, Lower Effort

Traditional agencies rely on manpower. Account managers, designers, and ad specialists all take time and margin.

Data as a Service flips that model. You sell verified audiences and insights instead of hours and deliverables.

Verified Data That Outperforms

Meta, Google, and other ad platforms only give you a limited view of your audience.
AudienceLab connects verified online and offline data with real-time behavioral insights for a 95 percent accuracy rate.

You can build both B2B and B2C audiences that match your clients’ true buyers, not broad interest groups or random lookalikes

Scale Without Hiring or Burnout

Most agencies reach a ceiling when growth requires more people. More clients mean more staff, which increases costs and stress.

AudienceLab’s Data as a Service model lets you scale without expanding your team. Each new client adds profit, not workload.
You can manage multiple accounts easily and automate most of your fulfillment through AudienceLab’s integrations.

How Data as a Service Works with AudienceLab

Build Audiences That Convert

Use the Audience Builder to target over 60 billion behaviors and create custom audiences for any vertical or campaign type.

Enrich and Verify

AudienceLab automatically enriches your data using verified online and offline records. Every contact is validated for accuracy.

Sync and Activate

Send your audiences directly to ad platforms, CRMs, or outbound tools in seconds with real-time syncing integrations.

Scale and Monetize

Resell, refresh, or expand your verified audiences across multiple clients and industries to build recurring revenue with minimal effort.

Who Benefits from AudienceLab Data as a Service

No matter the model, AudienceLab helps you reduce workload and improve revenue predictability.

Agencies that want to increase profit margins without expanding staff.

Media Buyers who want to monetize data and reduce time in Ads Manager.

Consultants who want to sell exclusive audience access and insights.

Brands and Advertisers looking to control and activate their own verified data.

Take Control of Your Growth with AudienceLab Data as a Service

The traditional agency model rewards effort. The new model rewards leverage. AudienceLab helps you achieve both.
With verified data, scalable automation, and high-margin delivery, you can finally build a business that grows on your terms.

If you are ready to simplify, scale, and succeed with data, the time to start is now.

Take control. Target smarter. Grow faster.

Case Studies

Watch the Workshop and See the Data as a Service Model in Action