This dataset contains information on how much money is spent by verified advertisers on political advertising across Google Ad Services. In addition, insights on demographic targeting used in political ad campaigns by these advertisers are also provided. Finally, links to the actual political ad in the Google Transparency Report (https://adstransparency.google.com) are provided. Data for an election expires 7 years after the election. After this point, the data are removed from the dataset and are no longer available.

Update frequency: Daily

Dataset source: Transparency Report: Political Advertising on Google

Terms of use:

See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/transparency-report/google-political-ads

For more information see: The Political Advertising on Google Transparency Report at https://adstransparency.google.com

The supporting Frequently Asked Questions at https://support.google.com/transparencyreport/answer/9575640?hl=en&ref_topic=7295796

Premium B2C Consumer Database - 269+ Million US Records

Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

Core Database Statistics

Consumer Records: Over 269 million

Email Addresses: Over 160 million (verified and deliverable)

Phone Numbers: Over 76 million (mobile and landline)

Mailing Addresses: Over 116,000,000 (NCOA processed)

Geographic Coverage: Complete US (all 50 states)

Compliance Status: CCPA compliant with consent management

Targeting Categories Available

Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

Multi-Channel Campaign Applications

Deploy across all major marketing channels:

Email marketing and automation

Social media advertising

Search and display advertising (Google, YouTube)

Direct mail and print campaigns

Telemarketing and SMS campaigns

Programmatic advertising platforms

Data Quality & Sources

Our consumer data aggregates from multiple verified sources:

Public records and government databases

Opt-in subscription services and registrations

Purchase transaction data from retail partners

Survey participation and research studies

Online behavioral data (privacy compliant)

Technical Delivery Options

File Formats: CSV, Excel, JSON, XML formats available

Delivery Methods: Secure FTP, API integration, direct download

Processing: Real-time NCOA, email validation, phone verification

Custom Selections: 1,000+ selectable demographic and behavioral attributes

Minimum Orders: Flexible based on targeting complexity

Unique Value Propositions

Dual Spouse Targeting: Reach both household decision-makers for maximum impact

Cross-Platform Integration: Seamless deployment to major ad platforms

Real-Time Updates: Monthly data refreshes ensure maximum accuracy

Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

Compliance Management: Built-in opt-out and suppression list management

Ideal Customer Profiles

E-commerce retailers seeking customer acquisition

Financial services companies targeting specific demographics

Healthcare organizations with compliant marketing needs

Automotive dealers and service providers

Home improvement and real estate professionals

Insurance companies and agents

Subscription services and SaaS providers

Performance Optimization Features

Lookalike Modeling: Create audiences similar to your best customers

Predictive Scoring: Identify high-value prospects using AI algorithms

Campaign Attribution: Track performance across multiple touchpoints

A/B Testing Support: Split audiences for campaign optimization

Suppression Management: Automatic opt-out and DNC compliance

Pricing & Volume Options

Flexible pricing structures accommodate businesses of all sizes:

Pay-per-record for small campaigns

Volume discounts for large deployments

Subscription models for ongoing campaigns

Custom enterprise pricing for high-volume users

Data Compliance & Privacy

VIA.tools maintains industry-leading compliance standards:

CCPA (California Consumer Privacy Act) compliant

CAN-SPAM Act adherence for email marketing

TCPA compliance for phone and SMS campaigns

Regular privacy audits and data governance reviews

Transparent opt-out and data deletion processes

Getting Started

Our data specialists work with you to:

1. Define your target audience criteria

2. Recommend optimal data selections

3. Provide sample data for testing

4. Configure delivery methods and formats

5. Implement ongoing campaign optimization

Why We Lead the Industry

With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

Contact our team to discuss your specific ta...

These data and associated R analysis file are associated with the paper: "Field Evidence of the Effects of Pro-sociality and Transparency on COVID-19 App Attractiveness" We ran 14 separate Google display ad campaigns from February 1 to 26. These were the only Google Display ads run for CovidDefense. Each campaign was targeted at people who reside in Louisiana via IP address. All campaigns used the same settings, ad destination, and ad image from the state of Louisiana's CovidDefense marketing materials. The 14 ads varied only in their text data in alignment with the 14 conditions summarized in this file (ads.csv). There are two primary datasets: one (data_demo.csv) which has all 7,010,271 impressions and demographic data, and another (data_geo.csv) with just the impressions that have associated geographic information. The former includes columns for Google-estimated demographics like Age and Gender, with many impressions having values of ``Unknown''. These two data tables for demographic and geographic impressions were represented by a row for each impression with columns for whether that impression resulted in a click; the age and gender or geography of the impression; as well as indicator variables for the presence or absence of ad information (appeals, privacy transparency -- broad privacy reassurance, non-technical control, and technical control -- and data transparency). An associated R file is included which includes functions to reproduce each model and associated statistics.

The Ad Tech market is experiencing robust growth, projected to reach a market size of $0.79 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 11.54% from 2025 to 2033. This expansion is fueled by several key drivers, including the increasing adoption of programmatic advertising, the rise of connected TV (CTV) and mobile advertising, and the growing demand for data-driven marketing solutions. Businesses are increasingly reliant on sophisticated ad tech platforms to optimize their advertising campaigns, target specific demographics effectively, and measure the return on investment (ROI) more accurately. This trend is further amplified by the escalating sophistication of ad fraud detection technologies and the continuous evolution of consumer privacy regulations which necessitate more robust and transparent ad tech solutions. The market is segmented by various factors including ad formats (display, video, mobile, etc.), ad platforms (DSPs, SSPs, ad exchanges), and functionalities (targeting, analytics, attribution). Major players such as MediaMath, Quantcast, Google LLC, Mediaocean, Zeta Global Holdings Corp, Adobe, Microsoft Corporation, Amazon.com Inc, Meta Platforms Inc, and Adform A/S are actively shaping the market landscape through innovation and strategic acquisitions. The forecast period from 2025 to 2033 promises further substantial growth driven by the ongoing expansion of digital advertising, the increasing integration of artificial intelligence (AI) and machine learning (ML) in ad targeting and optimization, and the continuous development of new ad formats to engage consumers on various platforms. However, challenges such as increasing data privacy concerns, the complexity of ad tech stacks, and the need for efficient cross-channel measurement and attribution need to be addressed. Competition among major players will also remain fierce. Despite these challenges, the market's long-term outlook remains positive, driven by the fundamental shift towards digital advertising and the continuous demand for effective, measurable marketing strategies. We project that the market will continue to witness a significant expansion in the coming years. Key drivers for this market are: Rise in the Adoption of Smartphones and Social Media, High Precision, Effectiveness, and Cost Efficiency of Digital Advertising. Potential restraints include: High Dependence on External Sources to Balance the Skill Deficit, Vendor Lock In; Compliance Issues, Migration Complexity, And Security Risks. Notable trends are: Mobile Devices and Smartphones to Witness Significant Growth.

The programmatic marketing and advertising market is experiencing robust growth, driven by the increasing adoption of data-driven strategies, automation, and the rise of connected devices. The market's expansion is fueled by the need for precise targeting, improved campaign efficiency, and measurable ROI for advertisers. Key application segments, such as retail, banking, and transportation, are heavily investing in programmatic advertising to reach specific customer demographics and optimize their marketing spend. The shift towards cloud-based solutions is a significant trend, offering scalability, flexibility, and cost-effectiveness compared to on-premise systems. While the market faces challenges like ad fraud, data privacy concerns, and the complexity of managing multiple platforms, ongoing technological advancements and industry regulations are mitigating these risks. We estimate the global programmatic marketing and advertising market size to be approximately $100 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 15% projected through 2033. This growth is expected to be particularly strong in Asia-Pacific and North America, driven by increasing internet penetration and the adoption of advanced advertising technologies. The competitive landscape is marked by a diverse range of established players and emerging technology companies vying for market share through innovative solutions and strategic partnerships. The ongoing evolution of programmatic advertising techniques, including the incorporation of AI and machine learning, promises further market expansion in the coming years. The demand for skilled professionals in programmatic advertising continues to grow, underscoring the importance of this rapidly evolving industry. The diverse range of companies involved reflects the market's maturity and fragmentation. Established players like Facebook Business, Google AdWords, and The Trade Desk are major forces, while smaller, specialized companies are driving innovation in specific areas like audience targeting and creative optimization. Competition is fierce, prompting companies to continuously innovate and adapt to evolving market demands. Regional variations exist, with North America and Europe leading the market currently; however, rapid growth is expected in regions like Asia-Pacific, driven by increasing digital adoption and economic expansion. Sustained investment in research and development, along with strategic acquisitions and partnerships, will shape the future landscape of programmatic advertising, solidifying its position as a cornerstone of the digital marketing ecosystem.

This dataset presents a comprehensive collection of 200,000 marketing campaign records from various companies across different industries and geographical locations. Each entry represents a single campaign and includes key attributes such as:

Campaign_ID – Unique identifier for each campaign

Company – The business entity that launched the campaign

Campaign_Type – Type of campaign (e.g., Email, Influencer, Display, etc.)

Target_Audience – Demographic segment targeted (e.g., Men 18–24, Women 35–44)

Duration – Length of the campaign in days

Channel_Used – Platform used to execute the campaign (e.g., Google Ads, YouTube, Email)

Conversion_Rate – Proportion of audience converted through the campaign

Acquisition_Cost – Cost incurred to acquire a customer

ROI – Return on investment as a performance metric

Location – City where the campaign was run

The dataset is ideal for a variety of data-driven tasks including marketing analytics, customer targeting, channel performance comparison, predictive modeling, and campaign optimization. Its balanced distribution across numerical and categorical features makes it suitable for both supervised and unsupervised learning approaches.