How Datagrid AI Calculates Buyer Scores for Home Improvement Teams
DataGrid AI’s Buyer Scores help you zero in on the home improvement prospects most likely to convert. Stop wasting time and money, prospect the right buyers before your competitors.
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Our DataGrid AI tool starts by analyzing specific data from thousands of home improvement customers.
How It Works
We examine 1,700+ variables for each record (yes, this is our real data), including:
• Appraisal Improvement Value
• Age of Oldest Vehicle Model
• Current Home Market Value
• Insurance Policy Holders
• House Info
• Type of Roof
• Exterior Walls Type
• Property Type
• Foundation Type
Have multiple offices across the country? No problem, all of our consumer data is geo-normalized to detect and correct geographical bias so your Buyer Score fits your business wherever you’re located.
Designed For Your Success
Our system finds patterns in who buys home improvement services and why. We do the heavy lifting for you so you know exactly where and who to prospect. DataGrid AI also takes your preferences into consideration. We match each homeowner against your ideal customer profile. Continuously improving as more data flows in, making it more accurate the longer you use it.
Discover more Buyer Score Categories
Sell Smarter with DataGrid AI Buyer Scores
We gather the data and analyze it so you can focus on what you do best—selling. Stop combing through underqualified areas with prospects who ultimately won’t buy. Sell faster and easier with our Buyer Score model now.
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