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Hot For Solar!

Hot for Solar uses publicly available solar installation data coupled with machine learning techniques to provide a predictive model of which geographies are most likely to adopt solar and at what cost. Overlay that data with credit score information and other demographic data and Hot for Solar provides a powerful tool for solar installers to target marketing and sales efforts more effectively. Dramatically reducing the cost of each residential customer acquisition.

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Problem Statement ID: 'idea-#####' or Problem Statement Full Link : http://catalyst.energy.gov/a/dtd/Poorly-Targeted-Marketing/54190-29324

Video Pitch : https://youtu.be/KrhzP39C4OA

Online Resume/CV : https://www.linkedin.com/pub/mark-springfield/0/86b/621

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Idea No. 353