Alesco's B2C Contact Data contains demographic information on almost every household in the nation. Nowhere else will you find more complete and accurate information on U.S. households, individuals by name and age, lifestyle interests, hobbies, purchase behavior and ethnicity along with detailed financial-related data including mortgage, wealth and credit attributes. Alesco provides hundreds of selection options to help you target your customers more precisely.

Our B2C Contact Data is built by utilizing hundreds of sources including public records, directories, county recorder and tax assessor files, US Census data, surveys, and purchase transactions. The file is built at both the individual and household levels to provide multiple targeting options. We continuously utilize USPS processing routines to give you the most complete and up-to-date addresses.

Flexible pricing available to meet all your business needs. B2C Contact Data is available on a transactional basis or for yearly licensing with unlimited use cases for marketing and analytics.

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...

Distribution lists used by an agency to deliver specific goods or services. Records include:rn- contact information for customers or clientsrn- subscription databases for distributing information such as publications and data sets produced by the agencyrn- files and databases related to constituent and community outreach or relationsrn- sign-up, request, and opt-out forms

According to Cognitive Market Research, the global Customer Intelligence Platform Market will be USD 2021.1 million in 2024 and expand at a compound annual growth rate (CAGR) of 24.9 % from 2024 to 2031. Market Dynamics of Customer Intelligence Platform Market

Key Drivers for Customer Intelligence Platform Market



  Increased adoption of advanced analytics and artificial intelligence - The growing usage of sophisticated analytics and artificial intelligence (AI) is one of the primary drivers of the customer intelligence platform market. The term "advanced analytics" refers to the use of sophisticated methods and equipment to analyze large amounts of data and provide relevant insights. Artificial intelligence (AI) is the development of intelligent computers capable of doing activities that have historically needed human intelligence, such as natural language processing, machine learning, and predictive analytics. Customer intelligence systems collect and analyze data from a variety of sources, including social media, customer interactions, and transaction history, employing novel analytics and artificial intelligence technology. Using these technologies allows businesses to have a deeper understanding of their customers' preferences and behavior patterns. This allows firms to create customer-relevant, data-driven marketing strategies and decisions.


  Need to get a comprehensive view of consumer data.




Key Restraints for Customer Intelligence Platform Market



  Lack of Skilled Professionals Limits Market Growth


  Lack of data quality and challenges in data integration hamper the market growth



Required to abide by data privacy legislation and defend against customer information hamper the market

Customer intelligence platforms consolidate first-party customer data from diverse channels and sources into a single customer view. Under the General Data Protection Regulation (GDPR) and other data privacy legislation, marketers are required to get marketing consent from consumers. Customer data is very susceptible to breaches and cyberattacks. Therefore, it becomes essential for a customer intelligence platform to comprehend the principal challenges relating to data management, including customer information protection as sensitive data and marketing consent of consumers. An ideal customer intelligence platform must be supported by a data model based on consent; it facilitates storing information of customer journey and consent to marketing and delivers customers transparency as well as control over the way their data gets utilized. If the customer has opted out of permission for use of their data, then the customer intelligence platform should add them to a direct mail suppression list and make sure that it will not get any unwanted marketing material through any other medium. In those nations with weak or no regulations regarding customer data privacy, customer intelligence platform solutions are applied on existing data privacy situations or even in expectation of the regulations that may emerge within the near future. It might cause problems when such new legislation is enacted surrounding customer data privacy. Therefore, the necessity of privacy of customer information and adherence to data privacy regulations is central to the acceptance of customer intelligence platforms.

Opportunities for Customer Intelligence Platform

Rising the use of Customer Intelligence Platforms to Track Market Changes

The ever-changing nature of consumer behavior and market dynamics has resulted in a rapid increase in the use of customer intelligence platforms. Companies are now more aware of the importance of remaining agile and responsive to ensure a competitive advantage. Customer intelligence platforms allow organizations to aggregate real-time information from various touchpoints like websites, social media, mobile applications, and customer service interactions—into a single view, enabling them to gain deeper insights into evolving trends and changing customer preferences. Through the use of advanced analytics and AI-based tools, such platforms enable businesses to identify shifts in purchasing behavior, sentiment in the market, and campaign effectiveness well before they happen. This enables businesses to adjust strategies, tailor customer experiences, and make better-informed decisions with data-driven accuracy. For i...

The Bus Breakdown and Delay system collects information from school bus vendors operating out in the field in real time. Bus staff that encounter delays during the route are instructed to radio the dispatcher at the bus vendor’s central office. The bus vendor staff are then instructed to log into the Bus Breakdown and Delay system to record the event and notify OPT. OPT customer service agents use this system to inform parents who call with questions regarding bus service. The Bus Breakdown and Delay system is publicly accessible and contains real time updates. All information in the system is entered by school bus vendor staff.

The Bus Breakdown and Delay system collects information from school bus vendors operating out in the field in real time. Bus staff that encounter delays during the route are instructed to radio the dispatcher at the bus vendor’s central office. The bus vendor staff are then instructed to log into the Bus Breakdown and Delay system to record the event and notify OPT. OPT customer service agents use this system to inform parents who call with questions regarding bus service. The Bus Breakdown and Delay system is publicly accessible and contains real time updates. All information in the system is entered by school bus vendor staff.

The Bus Breakdown and Delay system collects information from school bus vendors operating out in the field in real time. Bus staff that encounter delays during the route are instructed to radio the dispatcher at the bus vendor’s central office. The bus vendor staff are then instructed to log into the Bus Breakdown and Delay system to record the event and notify OPT. OPT customer service agents use this system to inform parents who call with questions regarding bus service. The Bus Breakdown and Delay system is publicly accessible and contains real time updates. All information in the system is entered by school bus vendor staff.

Use our Trustpilot dataset to monitor market sentiment and customer satisfaction trends. Access a comprehensive database of customer reviews and ratings for companies across various industries. Tailor your analysis with customized subsets of the data, or opt for the full dataset to gain deeper insights into consumer behavior and competitive benchmarking. The dataset includes all major data points: companies name companies location companies contact details companies rating reviewer names reviews date reviews rating and much more.

Customer Insight Service Market Outlook

The global market size of the Customer Insight Service market is projected to grow from USD 2.5 billion in 2023 to USD 5.8 billion by 2032, reflecting a compound annual growth rate (CAGR) of approximately 9.6%. This substantial growth is driven by the increasing need for businesses to understand their customers better and make informed decisions based on customer data analytics.

The rise of big data and advanced analytics technologies has significantly contributed to the growth of the Customer Insight Service market. Businesses are now equipped to gather and analyze vast amounts of customer data, providing them with actionable insights. These insights help companies improve their customer experience, tailor their marketing strategies, and enhance overall operational efficiency. The growing competition across various industries also necessitates the adoption of customer insight services to gain a competitive edge.

Another critical growth factor is the growing importance of personalized customer experiences. As consumers demand more personalized interactions, businesses are compelled to utilize customer insight services to meet these expectations. This trend is especially evident in sectors such as retail, BFSI, and healthcare, where understanding customer behavior and preferences is vital. Companies are increasingly investing in sophisticated customer analytics tools to segment their audience and deliver personalized experiences.

The adoption of cloud-based solutions is also driving the growth of the Customer Insight Service market. Cloud-based deployment offers several advantages, including scalability, cost-effectiveness, and accessibility. Small and medium enterprises (SMEs), in particular, are increasingly opting for cloud-based customer insights solutions due to their lower upfront costs and flexibility. The ease of integration with other business systems and the ability to access real-time data from anywhere are additional factors propelling the demand for cloud-based customer insight services.

Regionally, North America is anticipated to maintain its dominance in the Customer Insight Service market during the forecast period. This can be attributed to the region's advanced technological infrastructure, high adoption rate of customer analytics tools, and the presence of major market players. However, the Asia Pacific region is expected to witness the highest growth rate, driven by the rapid digital transformation of businesses, increasing internet penetration, and the growing emphasis on customer-centric strategies in emerging economies such as India and China.

Component Analysis

The Customer Insight Service market can be segmented by components into software and services. The software segment is expected to dominate the market, driven by the increasing adoption of advanced analytics and AI-driven tools. These software solutions enable businesses to collect, analyze, and visualize customer data efficiently, providing them with in-depth insights into customer behavior and preferences. The increasing integration of machine learning algorithms in customer insight software is also enhancing its analytical capabilities, further driving its demand.

Within the software segment, customer experience management software is gaining significant traction. This software helps businesses track customer interactions across various touchpoints, analyze feedback, and improve the overall customer experience. As businesses strive to enhance customer satisfaction and loyalty, the demand for sophisticated customer experience management software is expected to rise. Additionally, competitive intelligence software is also witnessing increased adoption as companies seek to stay ahead of their competitors by analyzing market trends and competitor strategies.

The services segment, although smaller in market share compared to software, is also experiencing growth. Services include consulting, implementation, and support services that help businesses effectively deploy and utilize customer insight solutions. The growing complexity of customer data analytics and the need for expert guidance in interpreting insights are driving the demand for professional services. Managed services, in particular, are becoming popular as they enable businesses to outsource their customer analytics needs to specialized service providers, allowing them to focus on their core competencies.

Another important aspect of the services segment is training and support. As businesses continu

Unacast’s Consumer Behavior Data Enrichment provides a robust view of consumers’ affinities, lifestyles, stages of life, and travel patterns. Utilize Consumer Data Enrichment to build multi-dimensional customer profiles, generate look-alike models, extend reach to different marketing channels, and clarify households and connections between devices.

Our on-demand API can enrich opted-in customer data (Mobile Advertiser IDs) or hashed email addresses (HEMs) and FLIPs (frequently leveraged IPs). Based on the query, the API will deliver associated data such as HEM, app data, Unacast Persona Data, demographic data, countries traveled, and more.

Companies use Unacast Consumer Data Enrichment for: - Understanding reach - Identity Graphs - Measuring campaign performance - Measuring return on advertising spend (ROAS) - Addressability - Audience creation - Psychographic analysis - Enhancing customer data - Personalization - Market research - Creating look-alike panels

Make your customer data more powerful, illuminate data gaps, and understand the relationships between devices.

Pricing can vary based on product, scope, region, etc. Reach out to us here to get more details on pricing.

Be ready for a cookieless internet while capturing anonymous website traffic data!

By installing the resolve pixel onto your website, business owners can start to put a name to the activity seen in analytics sources (i.e. GA4). With capture/resolve, you can identify up to 40% or more of your website traffic. Reach customers BEFORE they are ready to reveal themselves to you and customize messaging toward the right product or service.

This product will include Anonymous IP Data and Web Traffic Data for B2B2C.

Get a 360 view of the web traffic consumer with their business data such as business email, title, company, revenue, and location.

Super easy to implement and extraordinarily fast at processing, business owners are thrilled with the enhanced identity resolution capabilities powered by VisitIQ's First Party Opt-In Identity Platform. Capture/resolve and identify your Ideal Customer Profiles to customize marketing. Identify WHO is looking, WHAT they are looking at, WHERE they are located and HOW the web traffic came to your site.

Create segments based on specific demographic or behavioral attributes and export the data as a .csv or through S3 integration.

Check our product that has the most accurate Web Traffic Data for the B2B2C market.

People Data Labs is an aggregator of B2B person and company data. We source our globally compliant person dataset via our "Data Union".

The "Data Union" is our proprietary data sharing co-op. Customers opt-in to sharing their data and warrant that their data is fully compliant with global data privacy regulations. Some data sources are provided as a one time dump, others are refreshed every time we do a new data build. Our data sources come from a variety of verticals including HR Tech, Real Estate Tech, Identity/Anti-Fraud, Martech, and others. People Data Labs works with customers on compliance based topics. If a customer wishes to ensure anonymity, we work with them to anonymize the data.

Our company data has identifying information (name, website, social profiles), company attributes (industry, size, founded date), and tags + free text that is useful for segmentation.

At MFour, our Behavioral Data stands out for its uniqueness and depth of insights. What makes our data genuinely exceptional is the combination of several key factors:

• First-Party Opt-In Data: Our data is sourced directly from our opt-in panel of consumers who willingly participate in research and provide observed behaviors. This ensures the highest data quality and eliminates privacy concerns. CCPA compliant.

• Unparalleled Data Coverage: With access to 3B+ billion events, we have an extensive pool of participants who allow us to observe their brick + mortar location visitation, app + web smartphone usage, or both. This large-scale coverage provides robust and reliable insights.

• Our data is generally sourced through our Surveys On The Go (SOTG) mobile research app, where consumers are incentivized with cash rewards to participate in surveys and share their observed behaviors. This incentivized approach ensures a willing and engaged panel, leading to the highest-quality data.

The primary use cases and verticals of our Behavioral Data Product are diverse and varied. Some key applications include:

• Data Acquisition and Modeling: Our data helps businesses acquire valuable insights into consumer behavior and enables modeling for various research objectives.

• Shopper Data Analysis: By understanding purchase behavior and patterns, businesses can optimize their strategies, improve targeting, and enhance customer experiences.

• Media Consumption Insights: Our data provides a deep understanding of viewer behavior and patterns across popular platforms like YouTube, Amazon Prime, Netflix, and Disney+, enabling effective media planning and content optimization.

• App Performance Optimization: Analyzing app behavior allows businesses to monitor usage patterns, track key performance indicators (KPIs), and optimize app experiences to drive user engagement and retention.

• Location-Based Targeting: With our detailed location data, businesses can map out consumer visits to physical venues and combine them with web and app behavior to create predictive ad targeting strategies.

• Audience Creation for Ad Placement: Our data enables the creation of highly targeted audiences for ad campaigns, ensuring better reach and engagement with relevant consumer segments.

The Behavioral Data Product complements our comprehensive suite of data solutions in the broader context of our data offering. It provides granular and event-level insights into consumer behaviors, which can be combined with other data sets such as survey responses, demographics, or custom profiling questions to offer a holistic understanding of consumer preferences, motivations, and actions.

MFour's Behavioral Data empowers businesses with unparalleled consumer insights, allowing them to make data-driven decisions, uncover new opportunities, and stay ahead in today's dynamic market landscape.

Mobility/Location data is gathered from location-aware mobile apps using an SDK-based implementation. All users explicitly consent to allow location data sharing using a clear opt-in process for our use cases and are given clear opt-out options. Factori ingests, cleans, validates, and exports all location data signals to ensure only the highest quality of data is made available for analysis.

Record Count:90 Billion+ Capturing Frequency: Once per Event Delivering Frequency: Once per Day Updated: Daily

Mobility Data Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited interval (daily/weekly/monthly/quarterly).

Business Needs: Consumer Insight: Gain a comprehensive 360-degree perspective of the customer to spot behavioral changes, analyze trends and predict business outcomes. Market Intelligence: Study various market areas, the proximity of points or interests, and the competitive landscape. Advertising: Create campaigns and customize your messaging depending on your target audience's online and offline activity. Retail Analytics: Analyze footfall trends in various locations and gain an understanding of customer personas.

At MFour, our Behavioral Data stands out for its uniqueness and depth of insights. What makes our data genuinely exceptional is the combination of several key factors:

• First-Party Opt-In Data: Our data is sourced directly from our opt-in panel of consumers who willingly participate in research and provide observed behaviors. This ensures the highest data quality and eliminates privacy concerns. CCPA compliant.

• Unparalleled Data Coverage: With access to 3B+ billion events, we have an extensive pool of participants who allow us to observe their brick + mortar location visitation, app + web smartphone usage, or both. This large-scale coverage provides robust and reliable insights.

• Our data is generally sourced through our Surveys On The Go (SOTG) mobile research app, where consumers are incentivized with cash rewards to participate in surveys and share their observed behaviors. This incentivized approach ensures a willing and engaged panel, leading to the highest-quality data.

The primary use cases and verticals of our Behavioral Data Product are diverse and varied. Some key applications include:

• Data Acquisition and Modeling: Our data helps businesses acquire valuable insights into consumer behavior and enables modeling for various research objectives.

• Shopper Data Analysis: By understanding purchase behavior and patterns, businesses can optimize their strategies, improve targeting, and enhance customer experiences.

• Media Consumption Insights: Our data provides a deep understanding of viewer behavior and patterns across popular platforms like YouTube, Amazon Prime, Netflix, and Disney+, enabling effective media planning and content optimization.

• App Performance Optimization: Analyzing app behavior allows businesses to monitor usage patterns, track key performance indicators (KPIs), and optimize app experiences to drive user engagement and retention.

• Location-Based Targeting: With our detailed location data, businesses can map out consumer visits to physical venues and combine them with web and app behavior to create predictive ad targeting strategies.

• Audience Creation for Ad Placement: Our data enables the creation of highly targeted audiences for ad campaigns, ensuring better reach and engagement with relevant consumer segments.

The Behavioral Data Product complements our comprehensive suite of data solutions in the broader context of our data offering. It provides granular and event-level insights into consumer behaviors, which can be combined with other data sets such as survey responses, demographics, or custom profiling questions to offer a holistic understanding of consumer preferences, motivations, and actions.

MFour's Behavioral Data empowers businesses with unparalleled consumer insights, allowing them to make data-driven decisions, uncover new opportunities, and stay ahead in today's dynamic market landscape.

As a global leader in providing GDPR-compliant sales and marketing intelligence, SMARTe's suite of solutions and integrations helps their clients to boost their revenue and improve marketing ROI.

Discover:

Discover is a 360 degree prospecting platform offering global and accurate business intelligence across 44 countries. It gives sales and marketing teams access to useful company and contact data with advanced search functionalities to make prospecting simpler and more efficient. Discover provides over 55 fields of relevant business information along with verified email addresses and mobile numbers. It can seamlessly integrate with existing CRMs and MAPs. It also comes with a Chrome extension to help sales reps access contact and company information from within corporate websites and LinkedIn profiles.

Enrich:

Enrich provides data health analysis and real-time data enrichment. It provides customers with access to 55+ useful data points like installed technologies, company attributes, mobile numbers, verified business email addresses, and more. It offers customers the convenience of choosing between Always-On CRM and On-demand enrichment. It can also seamlessly integrate with existing tools, systems, and workflows through a strong suite of APIs.

Bespoke Bespoke is the world’s first Data-As-A-Service platform delivering 100% accurate, SLA-guaranteed, customized, and global data across 202 countries. It offers custom-built and double opt-in data through a combination of technology and human intelligence. We, at SMARTe, are committed to complying with GDPR and we follow best privacy and security practices to ensure 100% compliance with all data privacy regulations.

Mobility/Location data is gathered from location-aware mobile apps using an SDK-based implementation. All users explicitly consent to allow location data sharing using a clear opt-in process for our use cases and are given clear opt-out options. Factori ingests, cleans, validates, and exports all location data signals to ensure only the highest quality of data is made available for analysis.

Record Count:90 Billion+ Capturing Frequency: Once per Event Delivering Frequency: Once per Day Updated: Daily

Mobility Data Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited interval (daily/weekly/monthly/quarterly).

Use Cases: Consumer Insight: Gain a comprehensive 360-degree perspective of the customer to spot behavioral changes, analyze trends and predict business outcomes. Market Intelligence: Study various market areas, the proximity of points or interests, and the competitive landscape. Advertising: Create campaigns and customize your messaging depending on your target audience's online and offline activity. Retail Analytics Analyze footfall trends in various locations and gain understanding of customer personas.