Predictive People-Based Data

Fueling better customer experiences with high-quality, predictive people-based data that provides a complete view of modern consumer behavior

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What We Do

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Audience Targeting

People-based audiences rooted in billions of transactions.

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Data Enrichment

Your first party data, supersized.

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The Alliant Intelligence Community

Join a vetted, members-only community of brands whose data contributions are transformed into ready-to-use intelligence, unlocking exclusive benefits, premium audiences and insights, and evidence-based outcomes with governance, transparency, and compliance at the core.

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Alliant solutions are built on top of an extensive identity graph, guaranteeing flexible connection and distribution options across channels.

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About Alliant Cooperative Data Solutions LLC

Alliant is the people-based data partner that helps marketers understand not only what customers do, but why they do it. By combining rich transactional data with psychology-driven insight, Alliant provides a complete view of consumer behavior — enabling more meaningful campaigns that anticipate both actions and motivations. Data security and privacy have been core values since day one, and Alliant continually validates its people, processes, and data through certifications such as SOC2, IAB Tech Lab Data Transparency, NQI certification from Neutronian, and quarterly quality scoring with Truthset. Trusted by thousands of brands and agencies as an independent data partner, Alliant brings a human element to modern data solutions. Alliant creates data and solutions for brands, marketers, and data scientists who want to leverage quality marketing data to drive better results. We deliver a reliable, complete view of individuals by pairing deterministic purchase behavior with psychology-driven predictive insight to create solutions that help you understand who people are, what they do, what they’re likely to do next, and why. Unlike traditional co-ops or third-party data providers that offer commoditized or niche data with limited insight and coverage, Alliant offers both purchase behavior and predictive people-based intelligence at scale alongside exclusive member benefits. Our data enriches first-party assets, expands audience targeting, and is easy to access and activate across channels and platforms, while remaining customizable to your use case.

Founded: 2001-01-01

Founded In: Brewster, New York, United States

Headquarters: Brewster, NY, United States

Industry: Financial Services

Slogan: Accessible intelligence that makes every touchpoint count.

Alliant Cooperative Data Solutions LLC: Key Team Members

Name	Title	Bio	Source
Scarlett Shipp	Chief Executive Officer	Scarlett brings more than 30 years of experience in analytics, technology, and executive leadership to her new role. She joined AnalyticsIQ in 2019 and has since led the company through transformative growth, serving as Chief Product Officer, COO, President, and most recently CEO. She is widely respected for her strategic vision, people-first leadership style, and deep expertise at the intersection of data, privacy, and marketing intelligence. In her role as CEO over the combined Alliant and AnalyticsIQ organization, she will lead integration and transformation across product and operations.	Source
Louise Ward	Chief Operating Officer	Louise Ward is Alliant’s Chief Operating Officer. She earned her Bachelor of Arts in Economics and Social Science from Liverpool John Moores University and is a UK Qualified Accountant (ACCA). Louise has 20+ years of executive level experience as a leader of Finance and Business Operations for companies across Tech Industries. Louise is passionate about driving company health and sustainable growth with targeted data and talented people.	Source
Dave Taylor	Chief Product Officer	Dave is Alliant’s Chief Product Officer, guiding product strategy and development overseeing the Product, Data Science and Data Engineering teams. Dave has an impressive product development and management background in creating valuable data solutions for brands and agencies. During his 20+-year career he has held leadership roles at Commerce Signals, a Transunion company, GE Capital, and Priceline — advancing consumer data product efforts. Dave holds a Masters in IS/IT project management from Villanova University and a BS in management information systems from Marist College.	Source
Bill Adam	Chief Technology Officer	Bill leads Alliant’s production and technology teams and is the architect of the Alliant Data Hub. Prior to Alliant, Bill held senior level positions at emerging businesses and marketing companies including News America Marketing, Edible Arrangements, Ikan Technologies, Grocery Shopping Network, Zadspace, and others. His development credentials include the first integrated card payment system, first patented and personalized digital savings circular, first Internet of Things Wi-Fi-enabled kitchen scanning appliance, and first fully automated print and apply system for on-pack shipment advertising. He has two graduate degrees from Boston University, an MBA and an M.S. in information systems.	Source
Julie Viscardi	Chief People Officer	Julie serves as the Chief People Officer for Alliant, setting the strategic vision for the organization’s people and culture agenda. She brings extensive global HR and enterprise leadership experience from her career at Gartner, Inc., where she held senior roles across HR Business Partner and Center of Excellence functions, supporting global business units and leading complex cross-regional initiatives. Earlier in her career, she held operational roles at Marakon and Piazza, Melmed and Berkowitz. Julie holds a BA in English with a minor in Philosophy from California State University, Long Beach.	Source
Joseph Licursi	Chief Financial Officer	Joe oversees Alliant’s financial management, ensuring the company has the resources it needs to support its continued growth. Joe has a deep background in financial management and accounting for investment and financial management organizations. During his 25 year career he has worked with powerhouses like Morgan Stanley, KPMG and Arthur Andersen — and has led accounting and reporting operations for a range of specialized private equity, asset management and hedge funds. Joe holds a BS in accounting from Fordham University, and is a Certified Public Accountant in New York and a member of the AICPA.	Source
Donna Hamilton	Head of Innovation & Development	Donna heads up Data Strategy and partners closely with Product, Sales, and Data Science to maximize the use of first, second, and third-party data sets across Alliant solutions. A committed change agent, Donna is the catalyst and architect of many of Alliant’s key digital innovations, enabling Alliant’s clients to diversify their marketing efforts with a range of digital advertising solutions. Donna came to Alliant following a successful 14-year career with Millard Group and InfoGroup, where she worked on business development efforts to transition traditional mailers to email, online, mobile, database, and modeling programs. She has strong ties into the local New York advertising and marketing community previously serving as an HVDMA board member and recipient of a MCNY Silver Apple award in 2021. Donna holds a B.B.A. in Marketing from National University, San Diego, CA.	Source
Mike Hattub	Head of Solutions Strategy	Mike Hattub is Alliant's Head of Solutions Strategy. He earned his Bachelor of Science in Mathematics from the University of Rhode Island and his Master of Business Administration in Finance from Georgia State University. Mike has 25+ years of analytics and data experience with 15 years at AnalyticsIQ. Mike believes in powering company and client growth through marketing data and analytics.	Source
Linda Walker	SVP of Operations	Linda Walker is Alliant’s SVP of Operations. She earned her Bachelor of Science in Industrial Engineering Technology from Southern Polytechnic State University. Linda has extensive experience in business operations, project management, implementation, adoption, distribution, engineering and manufacturing which fuel her passion for building collaborative teams, driving process efficiencies, and creative resource management to drive success for the organization.	Source
Mitch Eisenberg	SVP of General Counsel & Data Compliance Officer	Mitch oversees Alliant’s Legal & Compliance team and serves as the Company’s General Counsel and Data Compliance Officer ensuring oversight and compliance in today’s evolving data privacy landscape. Mitch has an extensive background spanning 35+ years handling legal strategy and oversight for a range of companies in the advertising and media space. Prior to Alliant, he has led legal teams at PulsePoint/WebMD, Mediabistro, Jupitermedia, Internet.com and more — handling privacy & compliance, commercial agreements, corporate policy, and a broad range of legal matters. Mitch holds a Juris Doctorate Degree from New York University School of Law and a Masters of Business Administration (MBA) and Bachelors of Science in Business from the University of Connecticut.	Source
Margo Hock	VP of Digital Partnerships	Margo Hock is AnalyticsIQ’s Vice President of Partnerships. She earned her Bachelor of Science in Hearing & Speech Disorder from The University of Kansas. Margo has been driving successful partnerships as a sales, account executive, and partnerships leader for over 15 years. Margo is as passionate about partner success as she is her own.	Source
Walter Chistoni	SVP of Sales	Walter leads Alliant’s New Business and Client Engagement sales teams, ensuring the company drives growth of key vertical accounts and expands Membership of the DataHub data cooperative. Walter has a proven track record of leading sales teams for data brands, publishers, and agencies. During his career he has held executive roles at Data Axle, PMX, Media Horizons Inc., American Media, and News America Marketing — delivering bespoke solutions to brands leveraging first- and third-party data across channels. Walter holds a BS in marketing from Fordham University, and is an active member of multi-channel marketing, shopper insights, direct response, and retail activation groups.	Source
St.Clair McLean	SVP of Infastructure & Security	St.Clair heads up the Infrastructure and Technology Support team, handling the organization’s expanding technology and data infrastructure needs. St. Clair has extensive experience at Alliant leading infrastructure, data security, and systems administration functions and teams. He studied Computer Science and Computer Engineering at Stony Brook University.	Source
Christina Tworek	Director of Cognitive Science & Market Research	Christina Tworek is Alliant's Direct of Cognitive Science & Market Research, where she leads a team of cognitive scientists who apply insights about how people think, feel, and decide to inform product development. She holds a BA in Psychology from NYU and a PhD in Psychology from the University of Illinois at Urbana-Champaign. With nearly 15 years of experience, Christina specializes in turning research into real-world insights across a wide range of industries. She's passionate about bringing data to life and turning complex ideas into clear, meaningful stories that people can actually use.	Source

Alliant Cooperative Data Solutions LLC: Milestones

Date	Milestone	Description	Source
	Acquisition of AnalyticsIQ	AnalyticsIQ Alliant, the leading data-driven audience company, today announced its acquisition of AnalyticsIQ, an innovator in predictive, people-based marketing data. Recognized for its unique predictive analytics and marketing data, AnalyticsIQ blends cognitive psychology with statistical analysis to enhance behavioral targeting and drive marketing performance. Alliant’s acquisition of AnalyticsIQ strengthens the combined company’s market position and establishes it as a top-tier provider of comprehensive data-driven marketing solutions. The combined business will continue to offer advertisers Alliant’s high-performing audience solutions and trusted data cooperative and AnalyticsIQ’s predictive data products rooted in cognitive psychology. The newly combined organization will offer clients: • Enhanced data scale and precision, combining 40+ years of experience and billions of curated transactional signals with psychographic and motivational intelligence • Extensive data science capabilities, integrating predictive modeling, cognitive research, and audience optimization • Expanded consumer targeting, data enrichment, and behavioral insight • Seamless activation, with robust identity linkages and integrations across 400+ platforms and destinations • Trusted compliance and transparency, backed by SOC2 certification, Truthset scoring, and verified by IAB Tech Lab and NQI	Source, Source

Alliant Cooperative Data Solutions LLC: Products & Services

Product/Service	Category	Description	Link	Source
Intelligence Collective (Member Co-Op)	Category	The Alliant Intelligence Collective is a vetted, members-only community of brands that responsibly contribute privacy-safe data to unlock exclusive benefits, premium audiences and insights, and evidence-based outcomes. The result is a unique Member database with billions of aggregated consumer transactions and millions of donor data points from a diverse range of brands and not-for-profits. Member data is transformed, anonymized, and leveraged to understand and connect brands and not-for-profits with consumers and donors through audience solutions available across every channel. Membership benefits include: - Next-level insights through analytical learnings sourced from a 500+ community of brands - Cross-member Collaboration empowering member brands to work together to leverage each other's data in conjuction with Alliant research and modeling solutions to identify new audiences - Stronger Data Science through exclusive custom variables created to further enhance existing solutions - Exclusive access to dedicated content, events and industry updates produced specifically for members - Tiered Membership (Charter / Core / Affiliate; Platinum / Gold / Silver): Graduated access, pricing, SLAs, and perks that scale with contribution and engagement. - Curated Onboarding + Data Design Workshop: White-glove intake, governance mapping, and a co-created signal plan tailored to your KPIs and constraints. - Member Pricing & Research Discounts: Preferred rates on enrichment, custom modeling, pilots & tests, and cognitive research studies; bundled pricing across lanes. - Member Council (Invite-Only): Direct input on roadmap, early visibility into releases, private working sessions with product & data leads. - Industry Circles (Peer Networks): Confidential, vertical-specific, in-person or virtual roundtables for knowledge sharing on use cases, signal strategy, and outcomes (no member naming required – could take the form of an in-person event or a simpler newsletter-type approach). - Data Solutions Access: Access to all Alliant People-Based Data Solutions, member-only derived data, member-only predictive elements, exclusive access to aggregate deterministic data - Annual Events, Workshops, & QBRs: Annual Alliant partner event, QBRs, 1–2 onsite sessions per year for roadmap and use-case planning. - Referral & Contribution Rewards: Credits or tier accelerators for referring qualified Members, expanding contributions, or participating in documented case studies (anonymized by default). - Member Taxonomy Services: Mapping your in-house categories to Alliant People-Based Data taxonomies for frictionless ops. - Dedicated Solutions Pod: Named team of strategists for ongoing collaboration, support, and performance tuning. Differentiators compared to traditional data cooperatives: - Exclusive Member Access & Benefits: A vetted, members-only environment with privileged benefits, tiered perks, and priority partnership—full co-op capabilities are reserved for Members. - Deterministic Transaction Truth: Permissioned, transaction-level evidence from known purchasers—member-contributed and identity-ready—transformed into analytics-grade, second-party audiences and enrichment for accurate targeting and measurement. - Positive and Negative Behaviors: The only co-op that captures both purchase and adverse outcomes (e.g., non-payment/chargeback), enabling superior LTV, risk, and response modeling versus top-line purchase summaries alone. - Psychology-Enhanced Member Intelligence: Uniquely augmented with cognitive-psychology signals (motivations, buyer types, propensities) to illuminate why consumers act—delivering decision drivers alongside verified behavior. - Compliance-By-Design: Member data remains exclusive; anonymized, derived evidence may inform predictive models under strict governance backed by documentation and enterprise controls. - Omnichannel Identity & Activation: PII and modern IDs (UID2, RampID) with delivery to hundreds of destinations—activate across direct mail, CTV/TV, RMNs, social, programmatic, clean rooms, and data warehouses with measurable outcomes.	https://alliantinsight.com/solutions/the-alliant-datahub/	Read Alliant's Data Collaboration terms, Read about the Alliant Datahubb
The Alliant Intelligence Collective	Intelligence Collective (Member Co-Op)	The Alliant Intelligence Collective is a vetted, members-only community of brands that responsibly contribute privacy-safe data to unlock exclusive benefits, premium audiences and insights, and evidence-based outcomes. The result is a unique Member database with billions of aggregated consumer transactions and millions of donor data points from a diverse range of brands and not-for-profits. Member data is transformed, anonymized, and leveraged to understand and connect brands and not-for-profits with consumers and donors through audience solutions available across every channel. Membership benefits include: - Next-level insights through analytical learnings sourced from a 500+ community of brands - Cross-member Collaboration empowering member brands to work together to leverage each other's data in conjuction with Alliant research and modeling solutions to identify new audiences - Stronger Data Science through exclusive custom variables created to further enhance existing solutions - Exclusive access to dedicated content, events and industry updates produced specifically for members - Tiered Membership (Charter / Core / Affiliate; Platinum / Gold / Silver): Graduated access, pricing, SLAs, and perks that scale with contribution and engagement. - Curated Onboarding + Data Design Workshop: White-glove intake, governance mapping, and a co-created signal plan tailored to your KPIs and constraints. - Member Pricing & Research Discounts: Preferred rates on enrichment, custom modeling, pilots & tests, and cognitive research studies; bundled pricing across lanes. - Member Council (Invite-Only): Direct input on roadmap, early visibility into releases, private working sessions with product & data leads. - Industry Circles (Peer Networks): Confidential, vertical-specific, in-person or virtual roundtables for knowledge sharing on use cases, signal strategy, and outcomes (no member naming required – could take the form of an in-person event or a simpler newsletter-type approach). - Data Solutions Access: Access to all Alliant People-Based Data Solutions, member-only derived data, member-only predictive elements, exclusive access to aggregate deterministic data - Annual Events, Workshops, & QBRs: Annual Alliant partner event, QBRs, 1–2 onsite sessions per year for roadmap and use-case planning. - Referral & Contribution Rewards: Credits or tier accelerators for referring qualified Members, expanding contributions, or participating in documented case studies (anonymized by default). - Member Taxonomy Services: Mapping your in-house categories to Alliant People-Based Data taxonomies for frictionless ops. - Dedicated Solutions Pod: Named team of strategists for ongoing collaboration, support, and performance tuning. Differentiators compared to traditional data cooperatives: - Exclusive Member Access & Benefits: A vetted, members-only environment with privileged benefits, tiered perks, and priority partnership—full co-op capabilities are reserved for Members. - Deterministic Transaction Truth: Permissioned, transaction-level evidence from known purchasers—member-contributed and identity-ready—transformed into analytics-grade, second-party audiences and enrichment for accurate targeting and measurement. - Positive and Negative Behaviors: The only co-op that captures both purchase and adverse outcomes (e.g., non-payment/chargeback), enabling superior LTV, risk, and response modeling versus top-line purchase summaries alone. - Psychology-Enhanced Member Intelligence: Uniquely augmented with cognitive-psychology signals (motivations, buyer types, propensities) to illuminate why consumers act—delivering decision drivers alongside verified behavior. - Compliance-By-Design: Member data remains exclusive; anonymized, derived evidence may inform predictive models under strict governance backed by documentation and enterprise controls. - Omnichannel Identity & Activation: PII and modern IDs (UID2, RampID) with delivery to hundreds of destinations—activate across direct mail, CTV/TV, RMNs, social, programmatic, clean rooms, and data warehouses with measurable outcomes.	https://alliantinsight.com/solutions/the-alliant-datahub/	The Alliant Intelligence Collective
People-Based Data Solutions	Category	Comprehensive data solutions powered by AnalyticsIQ that combine deterministic purchase behavior with psychology-driven predictive insights.
PeopleCore	People-Based Data Solutions	A foundational, predictive data asset covering over 95% of U.S. consumers that blends demographic, public, and self-reported data with psychological research to create the most robust view of who individuals are, what they do, and why they make decisions.
PurchaseCore	People-Based Data Solutions	A consumer purchase and brand affinity and propensity database comprised of known and inferred transaction-based data that helps marketers understand how consumers spend their money and what payment methods and types of products they buy.
ProfessionalsCore	People-Based Data Solutions	A B2B marketing database that delivers business, professional, and personal level insights, tapping into the cognitive sciences behind B2B decisions and purchases to help understand decision makers beyond their titles.
Data Solutions Use Cases	Category	Comprehensive suite of solutions for audience targeting, optimization, and enrichment.
Audience Targeting	Data Solutions Use Cases	Precision targeting solutions to reach the right consumers across channels.	https://alliantinsight.com/solutions/audience-targeting/	Read about Alliant's Audience Targeting solutions
Predictive Modeling & Optimization	Data Solutions Use Cases	Advanced predictive modeling to optimize campaign performance and ROI.	https://alliantinsight.com/solutions/predictive-modeling/	Read about Alliant's predictive modeling solutions
Data Enrichment	Data Solutions Use Cases	Enrich first-party data with behavioral, demographic, and psychographic insights.	https://alliantinsight.com/solutions/enrich/	Read about Alliant's audience enrichment solutions

Alliant Cooperative Data Solutions LLC: Target Industries

Industry	Description	Source
Financial Services	Alliant offers a breadth of data insights that can be leveraged for financial services use cases across banking, asset management, insurance, and beyond.	Read more about Alliant's Financial Magazine case study, Read more about Alliant's other finance case studies
Retail	Alliant can help retail brands target retail shoppers looking to splurge on fashion, products, brands, luxury, tech items and more based on their purchase behaviors, lifestyle interests, and decision motivations.	Read Alliant's audience guide for the Retail industry, Read about Alliant's Retail industry use cases
Direct Mail	Alliant is the data partner that can help brokers, printers, and strategy providers expand their value, expertise, and speed to ultimately deliver higher performing direct mail campaigns for their clients. Alliant provides audience data solutions that drive profitable campaign results for DTC brands aiming to grow and improve performance in direct mail marketing.	Read more about Alliant's Direct Mail solutions, Read about Alliant's Direct Mail case studies
AdTech Platforms	Alliant offers a comprehensive digital taxonomy powered by AnalyticsIQ made up of thousands of reliable marketing audiences that cover all aspects of consumer lives. These audiences can be made available off-the-shelf in leading adtech platforms.	Read more about Alliant's AdTech solutions, Read more about Alliant's AdTech use cases
Digital Advertising Agencies	Digital agencies leverage Alliant digital audiences powered by AnalyticsIQ to reach the right consumers and fuel better campaign results.	Read more about Alliant's Digital Advertising Agency solutions, Read more about Alliant's Digital Advertising Agencies use cases
CTV	Alliant digital audiences powered by AnalyticsIQ can be leverage acrossed channels, including CTV.	Read more about Alliant's Connected TV solutions, Read about an Alliant Connected TV use case
CPG	Alliant’s expanded CPG solution offers a new set of syndicated audiences and the flexibility of custom audiences. Built on receipt-level transactional data combined with additional consumer attributes, this unique CPG targeting solution delivers a high level of accuracy and scale to campaigns.	Read more about Alliant's Consumer Packaged Goods solutions, Read more about Alliant's Consumer Packaged Goods case studies
Health & Wellness	Alliant offers a breadth of insight into consumer health and wellness behaviors and interests, SDOH factors, and even HCP insights to fuel better healthcare engagement and marketing.	Read more about Alliant's Health and Wellness industry solutions
Home Improvement	Alliant offers thousands of audiences to help brands and agencies aiming to reach consumers tackling home DIY projects, remodeling, outdoor landscape and garden transformations, and more.	Read more about Alliant's Home Improvement industry solutions
Travel	Alliant data helps brands reach travelers ready to explore based on preferred travel methods, travel intentions, travel interests, travel spend, and more.	Read more about Alliant's travel industry solutions
Political	Alliant provides a variety of audiences to help power your next political campaign from voting behaviors, views, demographics, motivations, and more.	Read more about Alliant's political industry solutions
Automotive	Alliant data helps brands reach consumers ready to purchase or lease new and used vehicles, makes, models, aftermarket products and more.	Read more about Alliant's automotive industry solutions
Sports	Alliant data can help you reach sports enthusiasts across college sports, professional leagues, fantasy sports, and specific teams.	Read more about Alliant's sports industry solutions
Entertainment	Alliant data unlocks crucial insight that helps brands reach consumers ready to make entertainment purchases based on their interests, motivations, spending habits, and likely actions.	Read more about Alliant's entertainment industry solutions

Alliant Cooperative Data Solutions LLC: Media Coverage

Title	Publication	Date	Description
Inverness Graham-Backed Alliant Acquires AnalyticsIQ, Expanding Suite of People-Based Marketing Data & Analytics Solutions	Business Wire	2025-06-30
Alliant Acquires AnalyticsIQ to Deliver the Future of People-Based Marketing Data	EIN Presswire	2025-06-30
Alliant Acquires AnalyticsIQ To Scale Up Its Audience Graph	AdExchanger	2025-06-30
Alliant Acquires AnalyticsIQ to Deliver the Future of People-Based Marketing Data	MarTech360	2025-06-30
Inverness Graham-Backed Alliant Acquires AnalyticsIQ, Expanding Suite of People-Based Marketing Data & Analytics Solutions	Yahoo Finance	2025-06-30
Beet Retreat Berkshires 2025 - Navigating TV's Fluid Audience (Breakout Session Presented by Alliant)	Beet.TV	2025-07-01
Alliant Launches Custom Audience Solutions to Extend Social Influencer Reach Across All Channels	EIN Presswire	2025-05-21
Alliant Enhances Social Audience Targeting with New Omnichannel Capabilities	MarTech Edge	2025-05-01
Alliant Unveils Custom Audience Solutions to Expand Influencer and Social Media Impact	MarTech360	2025-05-01
Alliant Partners with Ribeye Media to Bolster Data Transparency and Scalability	EIN Presswire	2025-01-29
Alliant Audiences Now Available in Experian's New Data Marketplace	EIN Presswire	2025-01-23
Alliant Audiences Now Available in Experian's New Data Marketplace	MarTech Cube	2025-01-01
Experian Launches Its First-Ever Third-Party Data Marketplace (mentions Alliant)	AdExchanger	2025-01-01
How brands are extending social influence and commanding cross-platform conversations	Digiday	2025-01-01
Alliant Partners with InfoSum to Power Privacy-Safe Data Collaboration for Brands and Agencies	EIN News	2024-12-01
Alliant Partners with InfoSum to Power Privacy-Safe Data Collaboration	SalesTechStar	2024-12-01
Inverness Graham Acquires Alliant, A Leading Advertising Data Company	EIN Presswire	2024-11-13
Inverness Graham Announces Acquisition of Alliant	Inverness Graham	2024-11-13
Inverness Graham Acquires Alliant, A Leading Advertising Data Company	Adweek	2024-11-13
Private Equity Firm Buys Alliant As The Centerpiece To Its Platform Dreams	AdExchanger	2024-11-01
Alliant Launches Custom Audience Solution Tailored to CPG Brands	EIN Presswire	2024-10-16
Alliant Prioritizes Data Expertise with New Executive Sales Hires	EIN Presswire	2024-08-13
Alliant Partners with Madhive, Providing Local Marketers Access to High-Quality Audiences Optimized for TV	EIN Presswire	2024-08-07
Exclusive: Data Firm Alliant Hires Bank to Pursue Sale	Adweek	2024-07-08
Alliant Deploys Above Data's AI Capabilities To Improve Data Quality and Unlock Revenue Growth Potential	EIN Presswire	2024-06-17
Alliant Data: Above Data's Impact on Data Quality and Revenue Growth	Above Data	2024-06-17
The Marketing Stir - Donna Hamilton, Chief Innovation Officer at Alliant	Stirista	2024-03-05
How marketers are adapting to the new realities of data privacy (by Dave Taylor)	Digiday	2024-01-01
How cookie deprecation, first-party data and privacy regulations are impacting the data landscape (by Dave Taylor)	Digiday	2024-01-01
Alliant - Top Data-Driven Marketing Solutions Provider 2024	MarTech Outlook	2024-01-01
Alliant Awarded First-Ever Joint Neutronian-IAB Tech Lab Certification for Data Transparency Standard and Quality	EIN Presswire	2023-11-27
Alliant Partners With StackAdapt, Giving Self-Serve Programmatic Advertisers Access to Audience-First Data	CMSWire	2023-11-16
CMO Convo - Silo breaking C-suites: A CEO's perspective on the role of CMOs (JoAnne Monfradi Dunn)	CMO Alliance	2023-04-12
Why advertisers demanding higher-quality data and transparency will transform media buying (by Matt Frattaroli)	Digiday	2023-01-01
Alliant CEO: Wishing For A Federal Data Privacy Law	MediaPost	2022-04-01
Neutronian Alliant Performance Case Study	Neutronian	2022-01-01
Audience Data Sessions with Alliant	Eyeota	2022-01-01
Alliant Names Brent Pero Chief Revenue Officer	EIN Presswire	2021-05-11
Alliant's Blog: Measuring Data Quality and Working with Truthset	Truthset	2021-02-02
Audience Data Sessions Q&A with Alliant (Chris Morse)	Eyeota	2021-01-01
Data cooperatives are unlocking collaborative strategies for brands	Digiday	2021-01-01
Winners of the 2019 IAB Data Rockstars - Donna Hamilton, Alliant	IAB	2019-10-01
PepsiCo, Equifax Among Those Named IAB Data Rockstars 2019 (features Donna Hamilton)	MediaPost	2019-10-01
Business Casual Episode 1: Mobile First Marketing Strategy (moderated by Donna Hamilton, Alliant)	Hudson Valley Direct Marketing Association	2018-08-27
Tru Optik to launch free CTV privacy tool for media owners and adtech partners (mentions Alliant)	The Drum	2018-04-01
Legolas Teams With 6 Data Partners (Alliant named)	MediaPost	2012-02-01
MarTech Interview with Dave Taylor, Chief Product Officer at Alliant	MarTech Cube	2025-01-11	Join Dave Taylor, Chief Product Officer at Alliant, in this insightful MarTech interview as he shares his professional journey from IT support and geospatial tech at Priceline and GE Capital to leading product innovation in data analytics. Dave discusses key opportunities and challenges in data-driven marketing, including leveraging the Alliant DataHub – a secure cooperative database powered by billions of consumer transactions – to drive product innovation and omnichannel campaigns. Highlights include: How Alliant integrates AI and machine learning (partnering with Above Data) for superior data quality and transactional insights Strategies for overcoming data overload, ensuring privacy compliance (SOC2, CPRA), and maximizing value from second- and third-party data Future trends in martech: Doing more with less first-party data amid evolving privacy regulations Leadership advice for fostering innovation and building successful careers in data and product roles Discover why joining a data cooperative like Alliant can transform marketing ROI and audience targeting. Timestamps: 00:00 - Intro & Data Transformation Opportunities 01:24 - Professional Journey to CPO at Alliant Data-Driven Product Innovation at Alliant Challenges in Optimizing Data Solutions Privacy Compliance & the Alliant DataHub AI Integration for Better Outcomes Leadership Strategies for Innovation Future Trends in Data-Driven Marketing Advice for Maximizing Data Value & Career Tips #MarTech #DataDrivenMarketing #AudienceTargeting #AIinMarketing #DataPrivacy #MarketingAnalytics #AlliantDataHub #MarTechInterview For more martech insights, subscribe and visit alliantinsights.com!
Landmark's Investment in Alliant Allows Co-op Database Completion	Chief Marketer	2003-04-13
Choose Your Own Identity Adventure: Why The Ad Industry Is Stuck In Wait-And-See Mode (by JoAnne Monfradi Dunn, Alliant)	AdExchanger	2021-07-22
Third-Party, Direct Or In-House: Which Clean Room Is Right For You? (by St. Clair McLean, Alliant)	AdExchanger	2022-07-28
Inclusive Advertising Needs To Extend To Audience Planning (by JoAnne Monfradi Dunn, Alliant)	AdExchanger	2020-09-28
Your Custom Model Didn't Work… Now What? (by Asya Takken, Alliant)	AdExchanger	2021-01-27
Highland Math Forms First Data Co-op Of Data Sellers (features Matt Frattaroli, Alliant)	AdExchanger	2019-02-13
Truthset's Collective Launches Out Of Beta To Combat Defective Data (mentions Alliant)	AdExchanger	2022-12-07
Adobe Debuts Its Data Exchange (lists Alliant as partner)	AdExchanger	2015-11-10
Alliant Introduces New Order Scoring Platforms to Meet Surging Demand	Adweek	2007-11-29
Alliant Taps Brittany Powers as Head of Advanced TV	Adweek	2022-06-08
Alliant Prioritizes Data Expertise with New Executive Sales Hires	Adweek	2024-08-13
Alliant Launches Custom Audience Solution Tailored to CPG Brands	Adweek	2024-10-16
Alliant Launches New Streaming TV Subscriber & Viewership Audiences for Advertisers	Adweek	2023-09-11
Alliant Partners with Madhive, Providing Local Marketers Access to High-Quality Audiences	Adweek	2024-08-07
Alliant Deploys Above Data's AI Capabilities To Improve Data Quality	Adweek	2024-06-17
Alliant Integrates Data Offering with Grist Mill Exchange	Adweek	2022-09-13
Alliant's Launch With Eyeota as Exclusive Data Exchange Partner	MarTech Series	2021-07-15
Alliant Joins Unified ID 2.0, Pioneering Ad Targeting in a Future Without Cookies	MarTech Series	2021-05-25
Revolutionizing Marketing Campaigns with AI - SAS Customer Story	SAS
More Programmatic Advertising Options with Alliant	Sovrn	2017-02-21
Truthset Launches Data Partner Badges Program (lists Alliant)	Truthset

Alliant Cooperative Data Solutions LLC: Company Values

Value	Description	Source
	Our mission is to fuel better outcomes for all by delivering innovative people-based data solutions that enable brands to improve marketing performance.	Source
	Accessible intelligence that makes every touchpoint count.	Source
	Alliant is the people-based data partner that unites what happened with why it happens by combining the rigor of deterministic transactional data with the foresight of psychology-driven research to give marketers a complete picture of consumer behavior - from audience design to activation. Alliant combines purchase behavior with psychology-driven prediction to deliver a complete, people-based view. Deterministic transactional data and cognitive research fuel predictive data solutions, creating a living intelligence that gets better over time. With compliance-by-design and identity interoperability, our data activates seamlessly across direct mail, CTV, RMNs, social, and programmatic.
	A continuously learning ecosystem where deterministic behavior complements predictive insight, new research and data expands capabilities, and best in class data science and analytics turn insight into action.
	Pairing purchase behavior with cognitive insight to help marketers understand the what and the why behind consumer decision making.
	Compliance-by-design processes and independent validation/certifications deliver clear provenance and de-risked usage for regulated and enterprise environments.	Source, Source, Source
	Keeping pace with shifting consumer mindsets and market needs through rapid development of new attributes and bespoke models tuned to vertical goals.
	Alliant is committed to sustaining an environment that exemplifies: - Excellence - Ethical Conduct - Strategic Leadership - Attracting and Developing Top Talent - Diversity and Inclusion - Integrity and Transparency - Continuous Improvement and Innovation - Exceptional Customer Experiences and Value Creation Our company values CREATE a high standards culture made up of collaboration, respect, ethics, accountability, trust, and excellence. We invite you to experience the brilliance!
	Alliant offers a vetted, members-only community of brands that transforms contributions into ready-to-use intelligence in exchange for exclusive benefits, premium audiences and insights, and evidence-based outcomes with governance, transparency, and compliance at the core.
	Alliant models are developed by a data scientist who actively guides the decision-making process at every stage.
	Model builds analyze transaction, demographic, and geographic data from the client's responders, even before they make a purchase with the brand.
	Integrated insights from both favorable and unfavorable behaviors such as payments, cancellations, returns, and write-offs.
	Robust and comprehensive B2C and B2B data that provides the complete picture of who people are, what they do, and why they do it.
	Leverage the same audience across digital, TV, and offline channels.
	With an extensive distribution network, Alliant's audiences can be pushed for immediate activation anywhere, including walled gardens.
	Work with a dedicated strategist from Alliant who is fully invested in your clients' success, every step of the way.
	Cognitive research translates human motivations, buyer types, and propensities into actionable data informing the why and what's next behind behavior.

Alliant Cooperative Data Solutions LLC: Parent Organization

Organization	Relationship	Date	Description	Source
Inverness Graham Investments	other		Inverness Graham is a Philadelphia based firm focused on acquiring innovative companies where technology is transforming traditional industry. The firm’s Flagship strategy focuses on high-growth businesses in Healthcare, Tech-Enabled Services / Software and Advanced Manufacturing. The firm’s Green Light strategy targets tech-enabled businesses where Environmental Sustainability is a key driver of accelerating growth. Inverness Graham executes a differentiated, repeatable model for value creation through its proprietary Strategic Platform Build approach. Founded by senior executives of the Graham Group, the firm builds upon a 60-year legacy of operational excellence, bringing substantial value creation resources and an innovative mindset to support its portfolio company partners.	Source

Alliant Cooperative Data Solutions LLC: Acquisitions

Organization	Date	Description	Source
AnalyticsIQ	2025-07-01	Inverness Graham, a Philadelphia-based buyout firm focused on acquiring innovative companies where technology is transforming traditional industry, announced today that its marketing data and analytics company, Alliant, has acquired AnalyticsIQ. An innovator in predictive analytics and people-based marketing data, AnalyticsIQ blends cognitive psychology with statistical analysis to enhance behavioral targeting and drive marketing performance. The company utilizes survey-based methodology and machine learning to model consumer behavior and intent, enabling advertisers to reach high-value audiences and enhance campaign outcomes through more effective targeting and personalization. The acquisition of AnalyticsIQ strengthens the combined company’s market position and establishes it as a top-tier provider of comprehensive data-driven marketing solutions. “AnalyticsIQ’s innovative data solutions strongly complement Alliant’s strengths in cooperative data and analytics,” said Michael Morrissey, Managing Principal at Inverness Graham. “Combining Alliant’s proprietary transaction data with AnalyticsIQ’s predictive modeling and digital integrations enhances our collective ability to deliver high-performing, insight-driven audiences across both traditional and emerging marketing channels. Together, the combined business enables a differentiated, data-rich platform with more customer applications and deeper market reach. We look forward to supporting Alliant and AnalyticsIQ’s next phase of growth together.” As part of the acquisition, Scarlett Shipp, the current Chief Executive Officer (“CEO”) of AnalyticsIQ, has been appointed the new CEO of the combined business. JoAnne Monfradi Dunn, Alliant’s founder and CEO, has announced her retirement from day-to-day operations and will assume an active Board seat to guide the transition and continue providing strategic leadership at the Board level. “Our team has spent years building predictive data that helps brands not just understand what people do—but why they do it,” said Scarlett Shipp. “Joining forces with Alliant enables us to scale that mission and bring even more powerful insights to clients across channels. Together, we’re building on our industry leadership to create a data company that raises the bar—delivering an unprecedented combination of differentiated data, trust, and results.” Inverness Graham and Alliant are actively seeking further acquisitions and strategic partnerships with innovative companies that provide high-quality marketing data, analytics and technology. Faegre Drinker Biddle & Reath LLP served as legal counsel to Inverness Graham. Stephens Inc. served as exclusive financial advisor to AnalyticsIQ. Terms of the transaction were not disclosed.	Source

Alliant Cooperative Data Solutions LLC: Competitors

Competitor	Description	Source
Acxiom	People-based marketing data & identity solutions (InfoBase, segmentation, identity, activation) under IPG. Notable Differentiators: Long-running consumer dataset (InfoBase), identity & people-based marketing focus; recent integrations with major ad platforms to improve addressability.
Experian Marketing Services	Consumer data and audiences for targeting, analytics, and measurement. Notable Differentiators: Large, long-tenured consumer data asset; audience catalog spanning demographics and buying behavior for precise targeting.
Epsilon	Data, identity, and marketing platform (Epsilon PeopleCloud) powered by CORE ID®. Notable Differentiators: Scaled, persistent identity graph (CORE ID, 200M+ U.S. consumers) enabling cross-channel recognition and activation.
TransUnion	Marketing & media solutions under TruAudience (identity, audience, analytics, collaboration). Notable Differentiators: End-to-end stack for identity, enrichment, targeting, and measurement across channels and clean rooms.
Equifax	Financial and economic consumer insight for marketing (IXI). Notable Differentiators: Direct-measured financial data (not survey-based) for precise financial propensity and economic indicators.
Adstra	Identity resolution & data licensing built around a Composable Identity platform (Conexa). Notable Differentiators: Modular, “composable” identity approach; integrations (e.g., Databricks/Delta Sharing) for flexible activation in modern stacks.
Resonate	AI-powered consumer intelligence and audiences (Resonate Elements). Notable Differentiators: Fresh, continuously updated profiles; emphasis on AI-driven, predictive modeling and real-time insights.
Stirista	Identity graph and syndicated audiences for omni-channel activation. Notable Differentiators: Provenance tracking/time-stamping of fields; multi-source verification and authoritative linking for identity quality.
Data Axle	B2B + B2C data, identity, and omnichannel services. Notable Differentiators: Recognized by Forrester as a Leader in B2B data; push toward unified identity across B2B/B2C for a single customer view.
Wiland	Co-op-based, transaction-driven modeled audiences and enhancement data. Notable Differentiators: Large co-op with predictive MarketSignals™ built from actual consumer spending; focus on high-response acquisition and LTV.
Path2Response	Next-gen co-op with people-based digital audiences and enrichment. Notable Differentiators: Deterministic first-party retail & donor transactions from hundreds of contributors; 1P transaction-based digital audience suite.

Alliant Cooperative Data Solutions LLC: Frequently Asked Questions

Question	Answer	Source
What is third-party marketing data?	Third-party marketing data is consumer or business information collected and aggregated by organizations that don't have a direct relationship with the individuals in the dataset. This data is sourced from various partners, transactions, and research methodologies, then packaged into audiences, attributes, or insights that marketers can license to enhance their campaigns. Unlike first-party data (which you collect directly from your customers), third-party data provides scale and breadth, helping you reach new prospects and enrich your understanding of existing customers. Alliant specializes in people-based third-party data built from billions of consumer transactions combined with predictive analytics and cognitive psychology research.
How to use external data to gain customer insight?	External data helps you understand customer behaviors, preferences, and propensities beyond what your own data reveals. Start by enriching your customer file with third-party attributes like purchase behaviors, lifestyle indicators, or predictive scores. Analyze these enhanced profiles to identify patterns, segment audiences, and uncover hidden opportunities. For example, Alliant's data enrichment solutions can append 10,000+ transactional, demographic, and predictive attributes to your CRM, revealing insights like category purchase frequency, responsiveness scores, and likely next purchases. Use these insights to personalize messaging, optimize channel strategy, and improve campaign performance by understanding not just what customers do, but why they do it.
First-party vs third-party marketing data?	First-party data is information you collect directly from your customers through transactions, website visits, app usage, or direct interactions—it's your most valuable asset because it's unique to your business and highly relevant. Third-party data comes from external sources and provides scale, breadth, and perspective you can't achieve alone. The key difference is relationship: first-party reflects actual customer behavior with your brand, while third-party reveals broader market behaviors and predictive insights. The most effective marketing strategies combine both: use first-party data as your foundation and enhance it with third-party data for enrichment (adding attributes), expansion (finding lookalike prospects), and validation (improving data quality). Alliant bridges this gap by helping you maximize first-party data through enrichment while providing access to billions of transactions for prospect targeting.
How to improve consumer targeting with data?	Improve targeting by moving beyond basic demographics to behavior-based, predictive segmentation. Start with transaction data—actual purchase behaviors are far more predictive than demographics alone. Layer in predictive scores that identify propensity and lifetime value. Use lookalike modeling to find prospects who mirror your best customers. Alliant's Audience Targeting solutions leverage billions of consumer transactions to create highly responsive audiences for direct mail, email, display, video, and CTV. The data includes both positive indicators (purchases, engagement) and negative signals (non-response, attrition) to optimize targeting precision. Access these audiences across 400+ platforms and activation points, with people-based identity resolution ensuring you reach the same person across devices and channels.
How to improve marketing with data?	Data improves marketing across three key dimensions: enrichment, targeting, and optimization. First, enrich your customer data with transactional, demographic, and predictive attributes to enable personalization and segmentation. Second, use data-driven audience targeting to acquire high-value prospects who resemble your best customers. Third, optimize campaigns continuously using predictive models that forecast response, conversion, and lifetime value. Alliant provides all three capabilities: Data Enrichment solutions that append 10,000+ attributes to your customer file in real-time; Audience Targeting that delivers responsive prospects across channels; and Optimization services including custom modeling, media mix analysis, and propensity scoring. The key is moving from assumptions to insights—letting actual consumer behavior drive decisions rather than relying on demographics or intuition alone.
How to improve predictive model performance?	Model performance improves with better data, more sophisticated techniques, and continuous testing. Start by expanding your predictor set—Alliant provides 10,000-14,000 candidate predictors derived from transactional data, enabling more precise pattern recognition. Use advanced machine learning algorithms beyond basic logistic regression; Alliant leverages SAS Viya and machine learning to process massive datasets 10x faster than traditional approaches. Incorporate both positive and negative signals—purchases AND non-responses provide more complete pictures. Validate models against recent outcomes and retrain regularly as consumer behaviors evolve. Alliant's Data Science team builds custom models optimized for specific KPIs—whether response rate, conversion, lifetime value, or retention. The cooperative model also enables continuous learning from hundreds of campaigns across verticals, identifying patterns that improve performance over time.
Data sources for modeling (media mix, response, look-a-like, propensity, custom)	Effective modeling requires diverse, high-quality data sources. For media mix models: combine campaign spend, timing, and creative data with Alliant's transactional outcomes to measure true ROI across channels. For response models: use historical campaign results enhanced with Alliant's 10,000+ transactional and demographic predictors to forecast who will respond. For lookalike models: start with your best customer profiles and match against Alliant's 270 million consumer database using transaction patterns and psychographic attributes. For propensity models: leverage Alliant's predictive scores for specific behaviors (purchase intent, channel preference, category affinity). For custom models: Alliant's Data Science team combines your first-party outcomes with DataHub cooperative data and AnalyticsIQ's cognitive psychology research to build bespoke solutions. All models can incorporate deterministic identity linkages and cross-channel behaviors for holistic customer views.
Where can I get the data I need for marketing?	Marketing data is available from specialized data providers, data cooperatives, and research firms. For people-based marketing data combining transactional depth with predictive intelligence, Alliant is a leading source. The Alliant DataHub aggregates billions of consumer transactions from 500+ brands and product lines, transformed into audience solutions for acquisition, enrichment, and optimization. Since the June 2025 acquisition of AnalyticsIQ, Alliant now combines 40+ years of transactional data with cognitive psychology research and predictive modeling. Access Alliant data through direct partnerships, via 400+ platform integrations (including LiveRamp, The Trade Desk, Snowflake, AWS), or through data marketplaces. Contact Alliant's sales team at sales@alliantdata.com to discuss your specific needs—whether pre-built audiences, custom modeling, or data enrichment services.
How can I enrich my first-party data?	Enrich first-party data by appending third-party attributes that provide deeper customer understanding. Alliant's Data Enrichment solution layers transactional, demographic, lifestyle, automotive attributes, and predictive scores onto your CRM or customer database. The process works via real-time API (sub-100ms response) or batch processing. Enrichment reveals insights like purchase behaviors across 100+ categories, responsiveness indicators, channel preferences, estimated household income, lifestyle interests, and propensity scores for future actions. This enhanced view enables more sophisticated segmentation, better personalization, improved lookalike modeling, and more accurate lifetime value prediction. The enriched data informs every customer touchpoint—from email content to media targeting to retention strategies. Start with Alliant's standard attribute library or work with their Data Science team to develop custom variables specific to your business objectives.
Deterministic vs probabilistic audience data?	Deterministic data is based on known, verified connections—like matching an email address to a specific person through authenticated login or transaction records. It's highly accurate but limited in scale, especially as third-party cookies deprecate and consumers opt out of tracking. Probabilistic data uses statistical modeling and pattern recognition to infer connections—like associating devices to a household based on shared WiFi networks or behavioral similarities. It provides greater scale but lower precision. Alliant uses both approaches: the DataHub includes deterministic transaction-level data and extensive identity mapping through integrations with LiveRamp RampID and The Trade Desk UID2. The AnalyticsIQ component adds probabilistic modeling based on survey research and cognitive psychology. Post-cookie, probabilistic modeling is increasingly important for maintaining scale, which is why Alliant's combined approach offers both accuracy (deterministic transactions) and reach (predictive modeling).
Purchase transaction data providers	Leading purchase transaction data providers include Alliant, Wiland, Path2Response (transaction-focused cooperatives), Experian Marketing Services, Acxiom (broad consumer databases with transactional elements), and specialized providers like IRI and Nielsen for specific verticals. Alliant distinguishes itself through granular transaction-level data rather than aggregated summaries—the DataHub captures individual purchase behaviors across categories, providing depth that enables sophisticated modeling and segmentation. With 500+ contributing brands and billions of transactions, Alliant offers both scale and precision. The cooperative model ensures continuous data freshness as members update monthly. Since acquiring AnalyticsIQ, Alliant now pairs transactional data with predictive intelligence rooted in cognitive psychology, creating a unique combination of observed behaviors (what people bought) and modeled intent (what they're likely to buy next and why).
Predictive audience data providers	Top predictive audience providers include AnalyticsIQ (now part of Alliant), Resonate, Claritas, Epsilon, Acxiom, and specialized firms like Neustar and LiveRamp. Alliant's combined offering (post-AnalyticsIQ acquisition) is particularly strong: transactional data from billions of purchases provides the behavioral foundation, while AnalyticsIQ's cognitive psychology research and machine learning models add predictive layers. AnalyticsIQ's methodology uses survey-based research on wellness, psychology, and consumer motivations to model future behaviors and intent. This goes beyond traditional predictive models by understanding why consumers make decisions, not just what they've done historically. The integration enables Alliant to offer audiences that combine observed transaction patterns with predicted future actions, modeled preferences, and psychological drivers—delivering more sophisticated targeting than transactional or predictive data alone.
What is a data co-op?	A data cooperative (co-op) is a shared database model where multiple companies contribute their customer transaction or behavioral data into a centralized repository. Each member benefits from insights derived from the collective dataset while protecting their proprietary customer information through anonymization and aggregation. Unlike buying standard third-party data, co-op members gain access to richer, fresher insights powered by the combined scale of all contributors. The Alliant DataHub operates as a cooperative database powered by 500+ brands and product lines. Members contribute their transaction data monthly, which Alliant transforms and enriches into predictive variables and audience solutions. Members receive custom variables, multi-channel solutions, preferred pricing, and access to world-class data science—all while maintaining data security through Alliant's proprietary aggregation process designed to protect source integrity.
Who are the top marketing data providers?	Top marketing data providers include Alliant, Experian Marketing Services, Acxiom (under IPG), Epsilon (Publicis), TransUnion's TruAudience, Equifax's IXI Network, Data Axle, Wiland, Resonate, Stirista, and Adstra. Each has distinct strengths: Experian and TransUnion offer credit-linked consumer insights; Epsilon has extensive identity graphs; Acxiom provides long-tenured consumer databases; Wiland and Alliant specialize in transaction-driven co-ops. Alliant's differentiators include granular transaction-level data (not aggregated), the combination of transactional depth with cognitive psychology research (via AnalyticsIQ), extensive identity resolution, and activation across 400+ platforms. As an independent provider owned by Inverness Graham PE, Alliant serves brands, agencies, and platforms without competitive conflicts. With SOC2 certification, IAB transparency verification, and continuous quality scoring, Alliant emphasizes data governance alongside performance.
How can I learn more about my customers?	Learn more about customers by enriching your first-party data with external attributes and behaviors. Alliant's Data Enrichment solution appends thousands of transactional, demographic, lifestyle, and predictive attributes to your customer file, revealing: purchase behaviors across 100+ categories; channel preferences (direct mail, email, digital responsiveness); lifestyle indicators (interests, activities, values); financial capacity; household demographics; automotive ownership; and predictive scores for future actions. The real-time enrichment API delivers insights at ad-tech speeds (sub-100ms), enabling personalized customer journeys. Use these insights to segment customers by lifetime value potential, identify cross-sell opportunities, reduce churn risk, optimize channel mix, and personalize messaging. Alliant also offers custom analytics and modeling to uncover patterns specific to your business—helping you understand not just what customers buy, but why they buy it.
How can I identify more potential customers?	Identify potential customers through lookalike modeling, predictive audiences, and behavioral targeting. Start by profiling your best customers using Alliant's enrichment data to understand their transactional patterns, demographics, and behaviors. Then use Alliant's Audience Targeting solutions to find prospects who mirror these characteristics across a database of 270 million consumers. Alliant's audiences go beyond basic demographics—they're built from billions of actual transactions, revealing category purchase patterns, responsiveness indicators, and channel preferences. The AnalyticsIQ integration adds cognitive psychology-based predictive audiences that identify intent and motivations. Deploy these audiences across channels: direct mail, email, display, video, CTV, social. Access them through Alliant's direct partnerships or via 400+ platform integrations. Custom modeling services can create bespoke lookalike or propensity models optimized for your specific KPIs and vertical.
Where can I access custom marketing data / audiences?	Access custom marketing data and audiences through Alliant's direct partnerships and consultation services. Contact Alliant's sales team (sales@alliantdata.com) or use the Data Help Desk for custom audience requests, recommendations, or segment consultations. Alliant's Data Science team builds custom models, variables, and audiences tailored to specific business objectives—whether optimizing for response, conversion, lifetime value, or category-specific behaviors. Custom solutions include: lookalike models based on your best customers; propensity models for specific actions or products; suppression models to avoid unlikely responders; media mix optimization; and hybrid audiences combining Alliant's transactional data with AnalyticsIQ's predictive intelligence. Custom audiences can be activated across all channels and platforms. The cooperative membership model provides ongoing access to custom variable development, consultative support, and preferred pricing for members who contribute data to the DataHub.
What are the primary differences or value propositions for Alliant data compared to other data providers?	Alliant's key differentiators include: (1) Transaction-level granularity—individual purchase behaviors across categories rather than aggregated summaries, enabling deeper modeling. (2) Cooperative model—500+ brands contribute data monthly, creating fresher and richer insights than static databases. (3) Combined transactional + predictive intelligence—post-AnalyticsIQ acquisition, Alliant pairs billions of transactions with cognitive psychology research to understand what people do AND why they do it. (4) Extensive identity resolution—integrations with LiveRamp RampID, Trade Desk UID2, and 400+ platforms ensure omnichannel reach. (5) Independent positioning—as a PE-backed company, Alliant serves brands, agencies, and platforms without competitive conflicts. (6) Data governance—SOC2 Type II certified, IAB Tech Lab verified, NQI certified by Neutronian, quarterly Truthset scoring. (7) Custom data science—in-house team builds bespoke models using SAS Viya and machine learning at scale. (8) Real-time enrichment—sub-100ms API response enables dynamic personalization.
What products / data does Alliant offer?	Alliant offers four core solution categories: (1) Audience Targeting—pre-built and custom audiences for prospect acquisition across direct mail, email, display, video, CTV, and social. Built from billions of transactions, available through 400+ platform integrations. (2) Data Enrichment—append 10,000+ transactional, demographic, lifestyle, and predictive attributes to customer files via real-time API or batch processing. (3) Optimization—custom modeling (lookalike, propensity, response, LTV), media mix analysis, campaign optimization, and predictive scoring. Powered by advanced machine learning and SAS Viya. (4) Credit Solutions—alternative data for credit decisions, including the Alliant credit scoring cooperative. All solutions leverage the Alliant DataHub (cooperative database with 500+ brands) and AnalyticsIQ's cognitive psychology research. Access through direct partnerships, platform integrations (Snowflake, AWS, Databricks), identity partners (LiveRamp, Trade Desk), or data marketplaces.
How is Alliant data sourced?	Alliant data comes from two primary sources: (1) The Alliant DataHub Cooperative—500+ brands and product lines contribute their customer transaction data monthly. This includes purchases across 100+ categories from retail, catalog, ecommerce, financial services, publishing, and more. Data is transformed through proprietary aggregation processes that protect source integrity while creating unified consumer views. (2) AnalyticsIQ Research & Modeling—survey-based methodology studying cognitive psychology, health/wellness, and consumer motivations. Machine learning models translate survey insights into predictive audiences and attributes. The combination creates a comprehensive dataset: observed transactional behaviors from billions of purchases PLUS modeled intent and motivations from cognitive research. All data undergoes validation through quarterly Truthset quality scoring, NQI certification, and continuous monitoring for accuracy, coverage, and freshness. Integration with universal identifiers (RampID, UID2) enables people-based identity resolution across devices and channels.
Explain the Alliant Intelligence Collective / Co-Op model.	The Alliant DataHub operates as a cooperative intelligence platform where 500+ brands and product lines contribute customer transaction data in exchange for enhanced insights and solutions. Here's how it works: Members provide monthly updates of their customer data—purchases, responses, and engagement across channels. Alliant's proprietary aggregation process anonymizes and transforms this data to protect each member's source integrity and competitive information. The collective dataset creates a comprehensive view of consumer behavior across categories, channels, and timeframes. Members benefit from: (1) Access to predictive variables derived from billions of collective transactions, (2) Custom modeling and audience solutions powered by the full cooperative, (3) Preferred pricing and consultative support, (4) World-class data science capabilities without building internal infrastructure. The cooperative model creates network effects—more members = richer data = better predictions = increased value for all participants. Unlike buying standard third-party data, co-op members actively participate in creating the intelligence that drives their marketing.
Explain the cognitive psychology research methodology.	AnalyticsIQ's (now Alliant's) cognitive psychology methodology blends behavioral science with predictive analytics to understand consumer motivations, not just actions. The process involves: (1) Survey Research—conducting studies on topics like sleep quality, wellness behaviors, financial attitudes, health conditions, and lifestyle preferences. Surveys reach diverse consumer segments to understand psychological drivers behind decisions. (2) Behavioral Pattern Analysis—connecting survey responses to actual purchase and engagement behaviors to identify correlations between attitudes/motivations and actions. (3) Machine Learning Modeling—using statistical analysis and ML algorithms to scale survey insights across broader populations, creating predictive models that estimate psychological attributes for consumers who didn't participate in surveys. (4) Continuous Validation—testing model accuracy against real-world outcomes and updating based on new research. This methodology enables unique targeting like identifying consumers open to new wellness products based on sleep quality concerns, or dayparting CTV ads for late-night viewers based on sleep pattern models. Combined with Alliant's transactional data, it delivers audiences that understand both what consumers do and why they do it.
How does Alliant verify the accuracy and quality of its data?	Alliant maintains data quality through multiple validation mechanisms: (1) SOC2 Type II Certification—independent audit of security controls, data handling processes, and operational integrity. (2) IAB Tech Lab Data Transparency Certification—verification of data sourcing, processing, and distribution practices meeting industry standards. (3) NQI Certification from Neutronian—quality validation of data accuracy and compliance. (4) Quarterly Truthset Scoring—independent third-party evaluation of data accuracy, match rates, and signal quality against ground truth datasets. (5) Continuous Monitoring—real-time database integrity checks and anomaly detection. (6) Member Data Validation—cooperative contributors undergo vetting to ensure data quality before integration. (7) Anonymized Development Environment—analytic work performed in privacy-safe environments to maintain data integrity. (8) Platform Certifications—TAG (Trustworthy Accountability Group) verification for ad tech practices. These certifications and processes ensure Alliant data meets enterprise standards for accuracy, freshness, coverage, and compliance—providing brands and agencies confidence in their data investments.
Is Alliant data compliant?	Yes, Alliant data is fully compliant with current privacy regulations and industry standards: (1) CCPA Compliant—fully adherent to California Consumer Privacy Act requirements including consumer rights, opt-outs, and data handling. (2) COPPA Compliant—Children's Online Privacy Protection Act compliance ensures no data collection on minors. (3) CAN-SPAM Compliant—email marketing data follows federal anti-spam regulations. (4) FCRA Compliant—Fair Credit Reporting Act compliance for credit-related solutions. (5) SOC2 Type II Certified—independent verification of security and privacy controls. (6) NAI Member—Network Advertising Initiative membership with adherence to self-regulatory standards. (7) IAB Certified—Interactive Advertising Bureau transparency and accountability verification. (8) State Privacy Laws—compliant with state-level regulations including Virginia CDPA, Colorado CPA, and emerging laws. Alliant maintains in-house privacy and compliance teams, with General Counsel holding a Masters in cybersecurity. All associates undergo extensive background checks and data security training. Systems include encrypted data in transit, continuous security monitoring, and SSAE-16 compliant data facilities.
How can I use Alliant data?	Use Alliant data across multiple marketing applications: (1) Prospect Acquisition—deploy Alliant audiences for direct mail, email, display, video, CTV, and social campaigns to reach high-value prospects. (2) Customer Enrichment—append transactional and predictive attributes to your CRM for improved segmentation, personalization, and lifetime value analysis. (3) Lookalike Modeling—identify prospects who mirror your best customers using transaction patterns and behaviors. (4) Suppression/Optimization—remove unlikely responders or low-value prospects to improve efficiency and reduce waste. (5) Channel Optimization—use responsiveness indicators to allocate customers to preferred channels (mail, email, digital). (6) Personalization—leverage enriched data for dynamic content, product recommendations, and messaging customization. (7) Media Planning—inform media mix decisions with audience insights and predictive scores. (8) Credit Decisioning—incorporate Alliant's alternative credit data for lending and financial services. (9) Analytics & Insights—use data science services for custom analysis, market research, or competitive intelligence. Access data through direct partnerships, platform integrations, or real-time APIs depending on use case.
Where can I access Alliant data?	Access Alliant data through multiple channels: (1) Direct Partnership—work directly with Alliant's sales and data science teams for custom solutions, modeling, and strategic engagements (sales@alliantdata.com). (2) Identity Platforms—LiveRamp (RampID), The Trade Desk (UID2), and other identity partners for addressable activation. (3) Cloud Data Platforms—Snowflake Data Marketplace, AWS Data Exchange, Databricks Partner Connect for direct data integration. (4) Data Collaboration Platforms—Karlsgate, InfoSum (recently announced partnership) for privacy-safe data clean rooms. (5) DSPs & Ad Platforms—400+ integrations including programmatic platforms, social media (Facebook, Instagram), CTV providers, and email service providers. (6) DMP/CDP Integrations—connections to major data management and customer data platforms. (7) Real-time API—for enrichment use cases requiring sub-100ms response times. (8) Batch Delivery—for large-scale data appends or custom modeling outputs. The extensive integration ecosystem ensures you can activate Alliant data wherever you execute marketing—from traditional channels like direct mail to emerging formats like CTV and data clean rooms.
How to evaluate marketing data quality?	Evaluate marketing data quality across seven dimensions: (1) Accuracy—verify match rates and data correctness against known truth sets or your own customer data. Look for third-party validation like Truthset scoring. (2) Coverage—assess what percentage of your target audience is represented in the data. Check for demographic or geographic skews. (3) Freshness—determine update frequency. Marketing behaviors change rapidly; monthly updates are standard for transaction data. (4) Depth—evaluate attribute richness. Are you getting dozens or thousands of data points? Can you create sophisticated segments? (5) Provenance—understand data sourcing. Alliant's cooperative model and AnalyticsIQ research provide transparency into origins. (6) Compliance—verify certifications like SOC2, IAB, and regulatory adherence (CCPA, GDPR). (7) Actionability—test how the data performs in actual campaigns. Run A/B tests comparing data-enhanced vs. non-enhanced segments. Measure lift in response, conversion, and ROI. Request case studies and performance benchmarks. For Alliant specifically, third-party validations (Truthset, NQI, IAB) provide independent quality verification beyond vendor claims.
Best practices for testing third-party data?	Test third-party data using these best practices: (1) Start Small—run pilot campaigns on a subset of your audience before full deployment. Test 10-20% of planned volume. (2) Controlled A/B Testing—create matched control groups. Compare data-enhanced segments against your baseline or competitors' data. (3) Measure Multiple KPIs—track response rate, conversion rate, cost per acquisition, average order value, and lifetime value—not just immediate response. (4) Test Across Channels—data that works for direct mail may perform differently in digital. Test email, display, and CTV separately. (5) Segment Testing—evaluate how data performs across customer lifecycles (acquisition vs. retention) and value tiers (high-value vs. mass market). (6) Holdout Groups—maintain untargeted holdouts to measure true incremental lift. (7) Statistical Significance—ensure test sizes are large enough for meaningful conclusions. (8) Time-Based Validation—test performance across seasons or campaign cycles, as some data degrades over time. (9) Attribution Analysis—use multi-touch attribution to understand contribution across customer journeys. Document results systematically to build an evidence base for scaling winning data sources.
How to measure lift from audience data?	Measure lift from audience data through controlled experimentation and comparative analysis: (1) Control Group Design—split your target universe into test (data-enhanced) and control (baseline) groups using random selection to ensure comparability. (2) Calculate Incremental Lift—compare performance metrics between groups. Formula: [(Test Performance - Control Performance) / Control Performance] × 100 = Lift %. (3) Key Metrics—measure lift across: response rate, conversion rate, cost per acquisition, revenue per contact, return on ad spend, customer lifetime value. (4) Holdout Analysis—maintain a holdout group that receives no targeting to measure total incremental impact versus random selection. (5) Match Rate Impact—account for coverage differences. If data matches 80% of your file, measure lift on the matched 80% specifically. (6) Time-Series Comparison—compare current campaign performance to historical baselines using the same creative/offer. (7) Multi-Touch Attribution—for digital campaigns, use attribution models to isolate data contribution from other tactics. (8) Statistical Significance—use confidence intervals to ensure lift is meaningful, not random variation. Document cost per incremental outcome to calculate ROI of data investment.
How to onboard third party data into Snowflake / Databricks?	Onboard third-party data into cloud platforms using these approaches: (1) Snowflake Data Marketplace—access Alliant data directly through Snowflake's marketplace. Search for Alliant listings, agree to terms, and grant access to your Snowflake environment. Data appears as external tables you can query immediately without ETL. (2) AWS Data Exchange—similar process for Databricks on AWS. Subscribe to Alliant datasets and they're delivered to your S3 buckets, which Databricks can read natively. (3) Direct Data Shares—for larger partnerships, establish secure data shares where Alliant provisions data directly to your cloud instance. Snowflake supports zero-copy sharing; Databricks uses Delta Sharing. (4) Secure File Transfer—for batch delivery, receive files via SFTP/S3 and load using Snowflake's COPY INTO or Databricks' COPY INTO commands. Use file formats like Parquet for efficiency. (5) API Integration—for real-time enrichment, call Alliant's API from Snowflake (external functions) or Databricks (REST API integration) during data processing. (6) Identity Matching—before joining, standardize identifier formats (emails, addresses, device IDs) and use deterministic or probabilistic matching to link Alliant data to your first-party records. Consider using LiveRamp or similar for identity resolution.
How to connect data to LiveRamp, The Trade Desk, etc?	Connect data to identity platforms and DSPs through these methods: (1) LiveRamp Integration—send your customer file to LiveRamp for RampID resolution. Alliant data is RampID-enabled, so you can directly activate Alliant audiences in your LiveRamp-connected platforms (DSPs, social, CTV). Alternatively, enrich your RampID-resolved file with Alliant data before distribution. (2) The Trade Desk UID2—Alliant integrates with UID2, enabling activation in TTD's platform. Upload UID2-based audience segments or use Alliant's pre-built segments available in TTD's Data Marketplace. (3) Platform-Specific Integrations—most DSPs support Alliant directly through data integrations or marketplaces. Check your platform's (DV360, Amazon DSP, Verizon Media) third-party data catalog for Alliant segments. (4) Data Onboarding Partners—use services like InfoSum, Karlsgate, or Habu for privacy-safe data collaboration that connects your first-party data with Alliant in clean room environments. (5) Pixel/Tag Integration—for owned media, deploy pixels that pass identifiers to create matched audiences in ad platforms. (6) API-Based Activation—for real-time use cases, leverage platform APIs to sync audience memberships dynamically as users are enriched with Alliant data.
Alternatives to Acxiom/Experian/Wiland/Epsilon/Data Axle/etc	Alliant serves as a comprehensive alternative to traditional data providers, with distinct advantages: vs. Acxiom—Alliant offers transaction-level granularity rather than aggregated consumer profiles, plus cooperative freshness vs. static databases. vs. Experian—independent positioning without credit bureau conflicts; stronger emphasis on transactional depth and predictive modeling vs. broad demographic coverage. vs. Wiland—similar cooperative model, but Alliant combines transactional data with AnalyticsIQ's cognitive psychology research for deeper behavioral insights. vs. Epsilon—provides extensive identity resolution without being tied to holding company agency conflicts; more accessible to independent brands and agencies. vs. Data Axle—stronger in consumer data (Data Axle leads B2B); Alliant's predictive analytics and cognitive research add strategic differentiation. Alliant's key advantages across all comparisons: (1) Combination of transactional + predictive + psychological data, (2) 500+ brand cooperative ensuring fresh, diverse data, (3) Real-time enrichment API (sub-100ms), (4) 400+ platform integrations, (5) Independent positioning, (6) Strong data governance (SOC2, IAB, Truthset validated). Consider Alliant when you need transaction-driven audiences with predictive intelligence and omnichannel activation flexibility.
What are use cases for third-party marketing data?	Third-party marketing data enables numerous strategic applications: (1) New Customer Acquisition—identify and target prospects who resemble your best customers using lookalike modeling and predictive audiences. (2) Customer Enrichment—append attributes to incomplete customer profiles to enable segmentation and personalization. (3) Lapsed Customer Reactivation—score inactive customers by reactivation propensity and create tailored win-back campaigns. (4) Cross-Sell/Up-Sell—identify customers with high propensity for complementary products based on category purchase patterns. (5) Churn Prevention—predict at-risk customers and intervene proactively with retention offers. (6) Channel Optimization—route customers to preferred channels (mail, email, SMS, digital) based on responsiveness indicators. (7) Personalization—dynamically customize content, offers, and product recommendations using behavioral insights. (8) Media Planning—inform media mix and budget allocation based on audience composition and channel preferences. (9) Suppression/Exclusion—remove unlikely responders to improve efficiency and reduce waste. (10) Competitive Conquest—target competitors' customers using category purchase behaviors. (11) Lifecycle Marketing—trigger campaigns based on life events, purchase cycles, or behavioral milestones. (12) Creative Optimization—test messaging variations across audience segments defined by behavioral attributes. Alliant supports all these use cases through its combined transactional, predictive, and cognitive data offerings.

Alliant Cooperative Data Solutions LLC: External Profiles

Platform	URL	Bio
Alliant LinkedIn	https://www.linkedin.com/company/alliant-the-audience-company/
Alliant Website	https://alliantinsight.com/
Alliant About Page	https://alliantinsight.com/about/
Alliant Privacy Policy	https://alliantinsight.com/alliant-privacy-policy/
AnalyticsIQ KGMID	https://www.google.com/search?kgmid=/g/11fy1y8cww	Alliant acquired AnalyticsIQ in June 2025. The acquisition of AnalyticsIQ strengthens the combined company’s market position and establishes it as a top-tier provider of comprehensive data-driven marketing solutions.
Analytics IQ LinkedIn	https://www.linkedin.com/company/analyticsiq/	Alliant acquired AnalyticsIQ in June 2025. The acquisition of AnalyticsIQ strengthens the combined company’s market position and establishes it as a top-tier provider of comprehensive data-driven marketing solutions.
Alliant KGMID	https://google.com/search?kgmid=/g/11fy1yny4z
Alliant Liveramp Partner Profile	https://partner-directory.liveramp.com/partners/alliant
Alliant Crunchbase Profile	https://www.crunchbase.com/organization/alliant-2b21
Alliant Datarade Profile	https://datarade.ai/data-providers/alliant/profile
Alliant Apps Run The World Data Vendor Profile	https://www.appsruntheworld.com/customers-database/vendors/view/alliant-cooperative-data-solutions
Alliant Apps Run The World Data Customer Profile	https://www.appsruntheworld.com/customers-database/customers/view/alliant-cooperative-data-solutions-united-states
Alliant Grow Jo Profile	https://growjo.com/company/Alliant_Cooperative_Data_Solutions
Alliant DNB Profile	https://www.dnb.com/business-directory/company-profiles.alliant_cooperative_data_solutions_llc.2a1680e9d17c71f5e2f66dab4d859f58.html

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