Housing-News-Report-August-2017

HOUSINGNEWS REPORT

CLIENT CORNER

deeper understanding of customers and prospects in their database. For example, many of our nonprofit customers leverage our data to find “hidden gems” in their existing dataset. These are individuals who may give $25 or $50 a year, but have the capacity to increase that gift to $250, $500, or more per year. 3. Engaging with consumers at the right time Based on our net worth data and additional signals / triggers, our customers can change their messaging, strategy, or product being offered to different users. In addition, Windfall helps customers acquire net-new customers that fit their ideal customer profile through various channels including social marketing, digital advertising, and direct mail efforts. It is incredibly valuable not only to understand the current ownership and individual data points, but we also get historical data from ATTOM. Understanding ownership changes across a property, and therefore the entire population, gives us the ability to become smarter with our models and build great new features off of timeseries.

that we understand: (a) who owns the property (b) when it was purchased and (c) the details around the property (square footage, bedrooms, bathrooms, etc). All of this information is leveraged as we link properties together and model out net worth across our other sources. It is incredibly valuable not only to understand the current ownership and individual data points, but we also get historical data from ATTOM. Understanding ownership changes across a property, and therefore the entire population, gives us the ability to become smarter with our models and build great new features off of timeseries. How is the marketplace responding to Windfall’s products / services, specifically those integrating ATTOM data?

Windfall officially launched in July 2016, and since then we have amassed 200+ customers in sectors such as nonprofits, financial services, retail, hospitality, and automotive. Our team makes it as easy as possible for our customers to activate Windfall’s data. Specifically there are three uses cases that most of our customers fit into: 1. Identifying affluent customers / prospects in their database When we match to a customer’s database or CRM, they are easily able to determine the affluent population and overlay any of the signals that we provide on a weekly basis. 2. Understanding their existing customers and prospects By leveraging tools like segmentation,

clustering, or machine learning algorithms, our customers get a

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JULY 2017 | ATTOM DATA SOLUTIONS

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