AnalyticsIQ

Name: AnalyticsIQ
Brand: AnalyticsIQ

AnalyticsIQ is now part of Alliant! Follow Alliant to stay in the loop and keep the momentum going.

Est 2007|Valuation $50M|Raised $15M|10 Ref Customers

LinkedIn 5K|Website|FTEs 90|HQ Atlanta, Georgia, US

	AnalyticsIQ	LiveRamp	Acxiom
Starting Price	Quote-based; typical annual budgets that align with mid-market to enterprise engagements	Quote-based (varies by module/marketplace)	Quote-based
Primary use case	Brands and agencies seeking predictive/psychographic attributes plus B2B2C linkage and activation-ready audiences	Organizations needing identity connectivity, onboarding, distribution, and ecosystem integrations	Enterprise marketing organizations seeking customer intelligence, data management, and professional services at scale
Key strength	Psychology-informed attributes and B2B2C linkage; marketplace availability (for example, Snowflake)	Breadth of destinations and identity infrastructure; data marketplace mechanics	Enterprise-grade services, breadth of data and solutions, large agency/holding-company relationships
Key weakness	Limited public third-party validation and few mainstream reviews; data-broker reputational considerations	Can be complex and costly; may not provide psychographic variables by itself	Often requires enterprise procurement and may rely on heavy services engagements

	AnalyticsIQ	LiveRamp	Acxiom
Starting Price	Quote-based; typical annual budgets that align with mid-market to enterprise engagements	Quote-based (varies by module/marketplace)	Quote-based
Primary use case	Brands and agencies seeking predictive/psychographic attributes plus B2B2C linkage and activation-ready audiences	Organizations needing identity connectivity, onboarding, distribution, and ecosystem integrations	Enterprise marketing organizations seeking customer intelligence, data management, and professional services at scale
Key strength	Psychology-informed attributes and B2B2C linkage; marketplace availability (for example, Snowflake)	Breadth of destinations and identity infrastructure; data marketplace mechanics	Enterprise-grade services, breadth of data and solutions, large agency/holding-company relationships
Key weakness	Limited public third-party validation and few mainstream reviews; data-broker reputational considerations	Can be complex and costly; may not provide psychographic variables by itself	Often requires enterprise procurement and may rely on heavy services engagements

01Competitive Landscape