Infutor: Automated Valuation Model (AVM) from Infutor Data Solutions

Find Home Values and New Marketing Value with AVM Data


Marketers are turning to cost-effective Automated Valuation Models (AVM) to accurately calculate home values. AVM data combined with consumer data enables marketers to gain a full-view of who their audiences are and target marketing campaigns toward qualified individuals with a propensity to make purchases now.

Infutor’s AVM Data brings a wide-breadth of features relevant to your marketing initiatives:
– Predictive Models to leverage home sales data and property attributes.
– Automated Valuation Models using API documentation to fuel first-party identity graphs or CRM systems and enable data science and advanced analytics and modeling.
– Personalized Marketing Offers to qualified, intent-driven consumers in real time.
– Identify Cross-Sell Customers to qualified consumers with multiple product needs.
– Increase Customer Retention to bring extended lifetime value.
– Home Value Data Contributions including privacy- and security-compliant original sources such as home features, tax assessments, location, home sales, and many others to validate home value calculations.
-Consumer Identity Data options such as lifestyles, behaviors and propensities of the homeowners are provided to help marketers get a full view of their customers.

Leverage powerful, cost-effective automated valuation models in your marketing strategy with Infutor Data Solutions.

Fields Include:
– Assessor’s Parcel Number
– Geographical location
– Estimate of Property Value in Dollars
– Estimate Error in Dollars (based on zip or national if zip not available)
– Estimate Error as a percentage of Estimate Value (000-999) (based on zip or national if zip not available)

About the Provider:

Infutor has mastered the science of consumer identity management and identity resolution. With an unrivaled depth and breadth of accurate data permissibly obtained from the most authoritative sources, we deliver what brands need to know about consumers in real time to make informed marketing and risk mitigation decisions.

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