Solar power is booming. More families want rooftop panels, heat pumps, and energy-efficient home upgrades. Federal tax credits, state incentives, and falling hardware costs are driving demand. Yet there’s one obstacle that continues to hold solar back: the cost of finding new customers.
In the U.S., residential energy companies spend more than $20 billion every year just on marketing and sales. These “soft costs” like advertising, lead generation, door-to-door canvassing, call centers, and site visits, often make up more than half the total price of a solar system. That means even though panels and batteries are cheaper than ever, homeowners still pay inflated prices.
This is where Pink, an AI-powered platform created by startup 257, is stepping in. By using artificial intelligence to pinpoint which homes are most likely to adopt solar or electrify, Pink is helping companies reduce acquisition costs and making solar more affordable for families across the country.
What is Pink?
At its core, Pink is an AI tool that helps solar and clean energy companies find the right customers faster and cheaper. Instead of running generic ads and hoping the right people respond, Pink uses household-level data to predict adoption likelihood. It looks at details like:
- Which homes are most likely to install solar or heat pumps
- Who can benefit most from energy efficiency upgrades
- Household income levels and financing potential
- Heating type like gas, oil, propane, electric
- Homeownership status and property details
By combining all of this into a clear score, Pink shows companies exactly where to focus their time and money.

How Pink Exactly Works
Pink’s model is designed to be powerful yet practical for energy businesses. Here’s a breakdown:
Smart Targeting
Every U.S. home, about 130 million in total, is scored by Pink’s AI on how likely it is to adopt solar or electrification upgrades. That means businesses don’t have to waste resources on households unlikely to convert.
Free Planning Tool
Companies can access a chat-style dashboard to explore insights at no cost. They can test assumptions, analyze neighborhoods, and identify high-potential areas before committing to campaigns.
Pay for Action
Fees only apply when companies launch campaigns. Pink integrates with platforms like Google, Meta (Facebook/Instagram), direct mail, and streaming TV ads, so businesses can activate outreach instantly.
Proven Results
Pink is already showing impact. A California solar installer used the platform to refine its targeting and saw customer acquisition costs drop by one-third. That kind of savings can make the difference between a break-even and a profitable project.
Why This Matters
The solar industry has spent the last decade driving down hardware costs. The price of solar modules has fallen by more than 80% since 2010, and batteries have also seen steep declines. But while panels got cheaper, soft costs ballooned.
That’s why tackling customer acquisition is so critical. Lowering these expenses has a direct effect on homeowners:
- Lower prices: Cutting marketing waste makes solar systems more affordable.
- Faster growth: Installers can scale quickly by focusing on high-value leads.
- Wider access: When costs drop, more households, especially middle-income families can afford clean energy upgrades.
In short, solving soft costs is one of the biggest levers left to make solar truly mainstream.

Beyond Solar: The Bigger Picture
Pink isn’t just about rooftop panels. It also predicts demand for heat pumps, energy efficiency retrofits, and home electrification. That means utilities, HVAC installers, and retrofit contractors can also benefit. And Pink is part of a larger story: AI is reshaping clean energy. Similar tools are being used to:
- Optimize EV charging networks
- Forecast grid demand and balance renewable supply
- Predict equipment failures in wind and solar farms
- Match financing products with qualified households
Together, these innovations make the clean energy ecosystem more efficient at every level.
Why Pink Could Be a Game-Changer
The U.S. clean energy market is projected to expand massively this decade. Federal incentives through the Inflation Reduction Act, state policies, and consumer demand are driving record installations. But if marketing inefficiencies keep costs high, adoption will slow.
Pink directly addresses this bottleneck. By helping companies acquire customers at a fraction of the traditional cost, it ensures that growth remains sustainable and scalable. The ripple effects could be enormous:
- More families will be able to afford solar and heat pumps.
- Clean energy companies will reduce risk and improve profitability.
- The U.S. will move closer to climate targets with faster adoption rates.
In this sense, Pink is more than a software tool, it’s an enabler of the broader energy transition.
Conclusion
Solar has always been a story of efficiency: better panels, cheaper batteries, smarter inverters. But efficiency is not only about technology; it’s also about how companies connect with people. By tackling one of the most stubborn challenges, customer acquisition, Pink shows how AI can accelerate clean energy adoption in ways that hardware alone cannot.
For homeowners, that means lower costs and quicker access to sustainable upgrades. For companies, it means faster growth without wasteful spending. And for society, it means a cleaner, more electrified future arriving sooner than expected.
If solar is to become truly affordable and widespread, solving the soft-cost challenge is essential. Pink may just be the breakthrough the industry has been waiting for.