How DataGrid AI Calculates Buyer Scores for Roofing Teams
Finding the right Roofing customer can be a challenge without the proper methods. DataGrid AI’s Buyer Scores help you zero in on the Roofing 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 roofing customers.
How It Works
We examine 1,700+ variables for each record (yes, this is our real data), including:
• Dwelling/Property Type (house, apartment, condo, etc.)
• Home Value/Tiers
• Sale Code
• Income
• Market Value of Land
• Number of Structures
• Insurance Policy Owner
• Individual Age
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 roofing 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 roofs faster and easier with our Buyer Score model now.
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