By Jesse Sanchez. 

Exploring how smarter data and targeting help contractors improve outreach efficiency and results. 

Reworked.ai is pitching a simpler way for roofing companies to find work in a crowded market: stop casting the widest net and start focusing on the homeowners most likely to act. In an Exit Rich podcast conversation hosted by Lance Bachmann, Reworked.ai founder Fred Castonguary described how the company combines predictive modeling with roof condition insights to help contractors tighten outreach, reduce wasteful spending and speed up sales conversations. 

The value is in getting contractors closer to the right doors without asking teams to knock on every one. “You don’t have to mail a 100,000 people. You mail 10,000,” Fred said, framing the platform as a tool for narrowing effort while preserving results. Lance agreed, calling it “probably one of the best data collections I’ve ever seen to put you in front of potential people that want to buy roofs.” 

Rather than relying on instinct, the conversation centered on using data to predict which homeowners are more likely to replace or repair a roof. As Lance explained, the platform helps identify “people that are more likely higher probability of buying a new roof or getting their roof rejuvenated” by combining demographic signals with roof condition insights. 

For roofing contractors, the bigger shift is not the technology itself, but what it changes in daily marketing and canvassing decisions. “We remove waste,” Fred said. “It’s just about efficiency, right? We all want to use AI, but by using it with us, you’re going to get to your customers faster and you’re going to spend less money.” 

Fred also emphasized that contractors can tailor what they receive based on how they plan to use it. “You’re able to get your list, and you’re able to pick and choose what information you want with that list,” he said. When imagery is part of the equation, he said, it becomes a powerful sales asset: “The picture is gold.” 

Integration was another practical theme. “We have integrations with all different CRM (customer relationship management software), right?,” Fred said, adding that “every account comes with an API key” for teams that want to connect data to existing workflows. That flexibility allows roofing companies to move insights directly into their sales and marketing systems without adding friction or rebuilding processes from scratch. 

Learn more about Reworked.ai and how its data-driven approach helps roofing contractors target smarter!

By Jesse Sanchez. 

Learn how targeted roof and homeowner data can help contractors connect with potential maintenance customers more efficiently. 

For contractors working in the roof rejuvenation space, the challenge is not explaining the service; it’s finding the right homeowner at the right moment. Rejuvenation is designed for asphalt shingle roofs that are midlife: not brand new but not showing clear signs of failure either. Traditionally, reaching that customer has meant door knocking, direct mail or broad digital advertising that can be difficult to control and even harder to target. That is where data is beginning to shift the market. On this episode of Roofing Road Trips®, Fred Castonguay and Shyam Prabhakar, co-founders of Reworked.ai, described how their platform helps contractors narrow outreach to homeowners whose roofs and circumstances align with rejuvenation rather than replacement. 

“We’re finding bad roofs... and we’re doing that in collaboration with Eagleview,” Fred said. He explained that the platform relies on Eagleview aerial imagery, along with historical images, to evaluate roof conditions. Those roofs are categorized as red, yellow or green. For rejuvenation professionals, the yellow roofs are the priority as they are roofs that “are not showing any obvious signs of failure, but are not new.” 

The approach goes beyond identifying roof conditions. Fred said Reworked.ai also considers publicly available demographic information to better understand homeowner capacity and likelihood to invest in upkeep. Shyam added that the company analyzed historical customer data and updated its algorithms to better identify the roof regeneration customer, describing the target homeowner as someone “with a potentially more risk averse mindset who values smart maintenance over a massive replacement bill.” 

With that targeting in place, the platform is built to give contractors more control over how they generate leads. Rather than competing against national advertising budgets in pay-per-click markets, contractors can purchase lists of midlife asphalt shingle roof homeowners by geography, then choose the outreach method that fits their operation, whether that is direct mail, email, phone calls or door-to-door contact. 

For roof rejuvenation dealers trying to grow beyond referrals, the promise is fewer wasted touches, more relevant conversations and a clearer path to homeowners who are more likely to engage. 

Listen to the podcast to learn more about how data is transforming roof rejuvenation lead generation!

By Jesse Sanchez. 

Find out how roof-condition imagery and data collection can refine outreach efforts.  

Roofing contractors have no shortage of marketing tools. They can invest in digital ads, purchase mailing lists and saturate neighborhoods with postcards. With more channels available than ever, contractors now have greater opportunity to connect with the right homeowners at the right time and deliver more targeted, effective outreach. On this episode of Roofing Road Trips®, host Karen Edwards spoke with Reworked.ai co-founders Shyam Prabhakar and Fred Castonguay about a strategy designed to address that inefficiency at its source. Instead of trying to capture homeowners who are already searching online, the company’s model focuses on identifying properties where the roof is likely nearing failure, then helping contractors prioritize those households. 

“We’re not identifying intent, we’re identifying need,” Fred said. That distinction shapes the entire approach. Most homeowners do not actively shop for a new roof until a leak, storm damage or inspection forces the issue. As a result, traditional marketing that targets visible buying intent may overlook a much larger group of aging roofs. According to Fred, that gap represents a significant opportunity: homes with roofs “at or near failure” where the owner may not yet recognize the risk. 

To reduce bias and guesswork, the two said they grounded their system in large-scale data rather than contractor assumptions. Shyam described the challenge of building that foundation, saying one of the hardest parts early on was “cracking the how,” specifically “getting to know all those attributes and data points about an individual” and comparing that information against verified roof replacement records. Fred explained that the team analyzed “20 million records of homeowners,” including five million who had replaced a roof and 15 million neighbors, to establish patterns tied to documented outcomes. By training the model on real replacement activity, the system is designed to rely on measurable data instead of assumptions about ideal customers. 

Imagery is the second pillar. Fred said the company uses computer vision to evaluate roof conditions and partnered with Eagleview for higher-quality aerial images. “Eagleview has the best images in the industry,” he said. The system flags visible deterioration such as missing tabs, discoloration and other indicators roofers associate with end-of-life conditions. 

Shyam said contractors receive results through what he described as a “completely self-serve” platform, where users can log in, select their target area and generate prioritized lists that are delivered in spreadsheet form. He explained that the structure is intentional, allowing contractors to plug the data directly into the outreach systems they already use rather than forcing them to adopt a new marketing process. 

Listen to the podcast or Watch the interview to learn more about AI-driven roof targeting!

By Emma Peterson. 

Learn how advanced data and imaging technology help roofing contractors reach the right customers. 

In a new Read Listen Watch® (RLW), host Heidi J. Ellsworth sat down with Peter Cleveland, vice president of partner strategy at Eagleview, and Fred Castonguay, a founder of Reworked.ai. During the conversation, the duo shared insights into how technology is changing contractor lead generation how users can implement best practices. 

Traditionally, roofing contractors generate leads through broad marketing efforts. Fred explained, “We see a lot of people buying leads, sending mailer to every house in a neighborhood or canvassing door-to-door.” The problem with all three of these methods is that they lack precision. Because they are focused on quantity, you don’t actually know how many of those leads are going to be quality ones that actually turn into jobs.  

This is not a new challenge, but in the last few years, traditional lead generation methods have been struggling more than ever. Peter shared, “Across all home services, all exterior trades, consumers are changing, technologies are changing and regulations are coming behind it. A great example is how unknown calls are filtered out to protect people from spam calls. And I personally welcome less spam in my life, but it does create some difficulty when it comes to outreach.” 

So, how do you build a lead generation method that avoids this problem? Leverage technology and data to change the focus from quantity to quality of leads. Fred explained:  

Data has been driving marketing for years in other sectors. Think about TV channels and how the commercials that were aired for MASH or Cheers were different than the commercials on Saturday morning cartoons. They were different because the TV executives knew they had different audiences. What roofers need to do is use data so that they can reach out to their specific audience – people who actually need reroofing work. 

This might seem like a complicated task. How are you supposed to know when a homeowner is ready to buy a new roof? But there are tools that can help! Eagleview’s imaging technology is able to get contractors data about roofs across North America, allowing you to see which ones need work. And through the Eagleview and Reworked.ai integration, you are able to contextualize the state of the roof with homeowner demographics, allowing you to spend your time and energy pursuing high quality leads that will actually turn into jobs.  

Listen to the webinar or Watch the recording to learn more about how Eagleview and Reworked.ai connect you to the data you need for sales success. 

By Jesse Sanchez. 

Machine learning, demographic data and high-resolution imagery help contractors target homeowners with real roofing needs. 

Marketing conversations in roofing are increasingly shaped by data and artificial intelligence and Reworked.ai is positioning itself at the center of that shift. During this episode of Roofing Road Trips®, Karen Edwards spoke with the company’s co-founders Fred Castonguay and Shyam Prabhakar about how technology can help contractors sharpen outreach strategies and improve conversion rates. 

Reworked.ai was built around a simple but persistent industry problem. Contractors spend heavily on marketing yet often struggle to identify which homeowners are most likely to need roofing services. Fred traced the idea back to his experience in real estate investment and a conversation that challenged traditional outreach models. He recalled, “There’s got to be somebody that’s using machine learning to make a more accurate prediction of who you should be reaching out to, to help you eliminate the guesswork in your customer acquisition process.” 

That insight led Fred and Shyam to rethink how contractors approach marketing. Rather than targeting entire counties or zip codes, Reworked.ai focuses on identifying homeowners with a high likelihood of roof failure and the financial profile to act. Fred explained, “We’re not identifying intent, we’re identifying need.” 

Behind the scenes, the platform relies on large-scale data analysis. Shyam described the challenge of moving beyond assumptions and bias to build reliable predictions. “One of the hardest parts about building this business at the offset was actually cracking the how,” he said, noting the use of demographic attributes and historical permit data to create individual homeowner scores. 

A key component of that process is imagery. Reworked.ai works with Eagleview to evaluate roof conditions using computer vision. Fred emphasized why that matters to contractors, “They are finding the bad roof,” he said, adding that the system flags signs of end-of-life conditions contractors already recognize in the field. 

The result is a self-serve platform that allows roofers to upload existing lists, generate new opportunities by geography or pull individual roof reports. Contractors receive prioritized spreadsheets rather than generic lists, helping them concentrate outreach and improve efficiency. 

As marketing costs rise and digital channels grow more competitive, Reworked.ai’s founders see targeted data as a practical advantage. “The only wrong way is not to do anything,” Fred said, pointing to the importance of consistent outreach backed by better information. 

Listen to the podcast or Watch the conversation to learn more about how Reworked.ai uses AI and data-driven insights to help roofing contractors connect with homeowners who have real roofing needs!

Reworked.ai delivers AI-qualified roofing opportunities at $1.79 each, combining Eagleview's aerial intelligence with homeowner buying propensity to transform contractor customer acquisition. 

The Coffee Shops™, the award-winning online communities where the industries meet for technologies, safety, information and education for the construction trades of roofing, metal, coatings and outdoor living, are pleased to welcome Reworked.ai into their community. 

Reworked.ai was designed to help the roofing industry move faster and with greater certainty in competitive markets. By combining Eagleview’s aerial imagery with AI driven predictions, the platform reduces time spent on manual prospecting and minimizes the guesswork that slows sales teams. Contractors can focus on properties with verified roof damage and homeowner buying power, helping prioritize outreach, shorten sales cycles and compete more effectively in crowded markets. 

From this company, you can expect: 

• Advanced roof analysis capabilities that identify roof damage, age and urgency across the United States using Eagleview’s industry leading aerial imagery. 
• Predictive homeowner intelligence that analyzes demographic and behavioral signals to determine which homeowners are most likely and financially able to move forward with a roofing project. 
• Market opportunity mapping that pinpoints neighborhoods where roof conditions and buying power intersect, helping teams deploy resources more strategically. 
• Support for sales teams seeking real opportunities rather than broad leads through AI qualified prospects that are ranked by conversion probability and ready for immediate outreach. 
• Tools that streamline prospecting and reduce wasted effort by allowing contractors to score existing leads, generate new AI qualified opportunities or purchase only the specific data points needed for their workflow. 

Reworked.ai emphasizes a move away from intuition and toward intelligence, stating, "Leading roofing contractors are moving beyond guesswork. They're using breakthrough technology that can analyze roof conditions, predict homeowner behavior and identify perfect opportunities with unprecedented efficiency." 

That philosophy is supported by a platform built specifically for roofing. As Reworked.ai explains, "We've built the world's first platform that combines Eagleview's aerial intelligence with AI-powered predictions." This integration connects real time roof condition data with homeowner buying propensity to clarify where opportunity truly exists. 

The company’s focus on precision is reinforced by its approach to actionable opportunities. As Reworked.ai notes, "Real damage. Real buyers. Real revenue. Betty identifies damaged roofs owned by financially qualified homeowners in your target market. Skip the guesswork and go straight to properties ready to buy." 

Together, these capabilities are designed to give contractors clearer visibility, better prioritization and a more efficient path to growth as competition continues to intensify. 

The Coffee Shops are proud to welcome Reworked.ai!

About Reworked.ai 

Reworked.ai is a predictive intelligence platform built for the roofing industry, helping contractors discover, prioritize and convert high intent homeowners through AI driven analytics powered by Eagleview’s aerial imagery. The platform delivers measurable improvements in conversion efficiency at $1.79 per qualified opportunity — approximately 90% less than traditional lead costs of $50-150+ — while giving companies greater control over customer acquisition across markets of all sizes. 

By Eagleview. 

Learn how Eagleview and Reworked.ai work together to help contractors elevate their marketing.  

Marketing can be one of the biggest pain points for contractors. From finding the right messaging to making sure it reaches the right audience, there’s a lot to figure out, and traditional lead generation methods are high cost with inconsistent or low results.  

That’s where Reworked.ai comes in. Their platform “analyzes millions of demographic and behavioral signals to predict which prospects are most likely to convert, empowering companies across real estate, roofing and insurance industries.” But their team was facing an issue – they had no data on roof conditions. While the platform could predict likely homeowner engagement, without accurate roof condition details, it couldn’t determine if a roof actually needed replacement. That’s where the partnership with Eagleview came in. 

The solution 

The partnership between Reworked.ai and Eagleview ushered in a new era in roofing lead services. By integrating Eagleview’s high-resolution aerial imagery, roof condition scores and property intelligence into Reworked.ai’s AI-driven homeowner targeting models, they created a powerful solution that offers: 

• Precision property insights - Eagleview delivers unmatched roof condition, age, pitch, area and material data at scale, providing contractors with a level of confidence in their targeting that was previously unattainable. 
• AI refinement - Reworked.ai layers this intelligence with financial and demographic modeling to identify households that both need roofing work and are ready to engage. 
• Actionable outputs - Contractors receive precise, ready-to-use homeowner lists that fuel more targeted direct mail campaigns and productive door-knocking efforts. 

The results 

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 avoiding common issues like wasted money on low-yield campaigns, surveyors losing time visiting homes with no issues and canvassers facing frustratingly low conversion rates that drive high employee turnover. In other words, it offers 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. 

As one contractor’s marketing director put it, “Before working with Reworked.ai, powered by Eagleview, we were sending mailers blindly and hoping for the best. Now, we know exactly which homeowners to reach — and the results speak for themselves.”  

Original article source: Eagleview

By Emma Peterson. 

Data-driven strategies are the future of contractor marketing and sales success. 

Get ready for a new Read Listen Watch® (RLW), airing on January 14, 2026, at 11 a.m. PT (2 p.m. ET)! This episode, “Stop Chasing Leads. Start Using Data.,” will be all about how high-quality data can help contractors optimize their marketing and sales operations. From sharpening your audience targeting to transforming sales conversations, this is a must-attend for contractors wanting to level up from traditional lead-generation methods.  

Introducing the experts 

This RLW will feature Peter Cleveland and Fred Castonguay. Peter is the vice president of partner strategy at Eagleview. Prior to moving into his current position, Peter was the vice president of solar at Eagleview (2021-2024). He has also previously worked with one of America’s “largest EPC’s by combining LEAN business practices with technology.” Overall, he is passionate about helping connect professionals to the technology they need to solve real-world problems and succeed.  

As for Fred, he brings over 25 years of leadership experience in tech, operations and strategies. He is one of the co-founders of Reworked.ai, a data-driven intelligence platform that is now powered by Eagleview. Reworked.ai utilizes artificial intelligence to analyze millions of demographic and behavioral signs in order to connect businesses with high-value properties and homeowners more efficiently. 

More about the episode 

This RLW will be all about building your marketing strategy around data. If you are someone who has spent a lot of time, energy and money on marketing only to get low response rates and inconsistent results, this RLW is for you. By organizing your marketing around high-quality data, like what Reworked.ai collects, you can create more accurate marketing campaigns that not only help you better reach your business goals but also ensure your clients get a smoother experience.  

Interested in learning more? Register for this RLW and follow Peter and Fred’s conversation firsthand on January 14, 2026.