How DataGrid AI Determines Buyer Scores for Solar Sales
The purpose of the Buyer Score is to help you identify and locate the prospects who are most likely to buy from you. Stop wasting time and money, prospect the right buyers before your competitors with our help.
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Our DataGrid AI tool starts by analyzing specific data from thousands of Solar customers.
How It Works
We examine 1,700+ variables for each record (yes, this is our real data), including:
• Dwelling/Property Type
• Possibility of Mortgage
• Sales Tax Rate
• Zip Population
• Home Value Tiers
• Policy Owner
• Number of Families
• January High Temperature
• Mortgage 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.
Data Designed For Your Success
Our system finds patterns in who buys Solar 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 solar faster and easier with our Buyer Score model now.
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