Transforming Roofing Lead Services with Reworked.ai

Reworked.ai identified a common pain point among roofing contractors: traditional lead-generation methods were costly, inefficient, and delivered inconsistent results. Contractors traditionally depend on broad demographic targeting and generic ZIP-code mailings, which are costly, ineffective, and reach people who don't need a roof replacement while missing those who do.

Additionally, their marketing teams waste money on low-yield campaigns, surveyors lose time visiting homes with no issues, and canvassers face frustratingly low conversion rates that drive high employee turnover. The relief from this frustration was within reach.

Seeing an opportunity, they developed an AI-driven platform to help contractors target homeowners more effectively. But there was a critical gap: the data feeding the models needed additional details. While the platform could predict likely homeowner engagement, without accurate roof condition details, it couldn’t determine if a roof actually needed replacement.

For Reworked.ai, partnering with Eagleview was a game-changer. It unlocked the accuracy and scale needed to transform its platform into a market differentiator. Announcing the collaboration with Eagleview, Shyam Prabhakar, Co-founder of Reworked.ai, stated, “By integrating Eagleview’s imagery and roof intelligence with our predictive homeowner intelligence, we’re creating a data-rich foundation for identifying not just which roofs need replacing—but which homeowners are most likely to take action.

For roofing contractors, it meant a clear path to more intelligent targeting, faster results, and greater ROI:

• 25–35% higher response rates versus traditional mailers.
• Double-digit growth in conversions within the first campaign cycle.
• Lower marketing costs by eliminating wasted outreach.
• Reduced surveyor expenses as field teams avoided homes without issues.
• More effective canvassing, leading to lower turnover and higher morale.