HVAC Customer Acquisition: AI for Bigger Jobs
Target more valuable homes with AI trained on data like heat pump upgrades and water heater replacements
There’s never a bad time to book an install job as an HVAC business, but in the shoulder season, these calls are especially welcome.
As emergency repairs slow down, proactive HVAC customer acquisition becomes even more important. Marketers must generate enough big-ticket jobs to keep crews busy and revenue consistent until the phones start ringing nonstop once again.
Off-peak installations – whether an A/C replacement, heat pump upgrade, or ductless add-on – can be better for consumers, too.
With less pressure to make an emergency decision, they have more time to understand their options, explore financing and incentives, and choose the right long-term solution.
But as a marketer, these win-win scenarios require you to engage the right homeowners, with the right offer or message, at the right time.
The key to unlocking that level of targeting and personalization? Predictive customer intelligence on every home in your service area. And that’s now at our fingertips thanks to AI built for HVAC customer acquisition.
Step 1: Use customer intelligence built for HVAC
If you advertise on Google or Meta, you’re no stranger to AI. But AI is only as good as the data it’s trained on, and neither Google nor Meta knows anything about a user’s home.
They have a wealth of behavioral data, yet they’re missing the property-level information that actually matters for major home investments like heat pumps, water heaters, and backup generators.
Which means no matter how sophisticated their AI is, it doesn’t have inputs relevant to heating, cooling, or home energy products, such as:
Residence type and homeowner status
HVAC system age, especially end-of-life equipment
Heating fuel
Rebate program eligibility
Energy consumption
That’s where 257 comes in. A customer intelligence and marketing solution designed for HVAC customer acquisition (and the larger residential energy market including solar, storage, and utilities), we use machine learning and billions of data points to build ‘digital energy twins’ – i.e., accurate, up-to-date models – for all 130 million U.S. homes.
Step 2: Leverage propensity models trained on installs
We capture hundreds of property and energy characteristics on every residence in the country, uncovering dozens of different attributes that predict how likely a household is to perform a desired behavior.
Using machine learning to analyze the traits of your ideal customer – for instance, someone who’s retrofitted their HVAC system, replaced their water heater, or added a smart thermostat – we build a predictive model of the likelihood of other homes doing the same.
The closest ‘lookalike audience’ can then be precision targeted through Meta, Google, direct mail, and other sales channels.
Let’s say you want to install more heat pumps in your territory. Thanks to our digital energy twins, we know which homes have recently added a heat pump, both throughout the whole U.S. and specifically in your local market.
Our models examine these households to expose what they have in common. With this framework, they score the non-heat pump homes in your service area based on how similar they are to new heat pump homes.
The higher this score, the better the fit for your marketing efforts. And the less you have to spend to build a healthy pipeline of big-ticket leads.
Propensity scoring versus rules-based targeting
You may think it’s self-evident what influences a new heat pump addition: perhaps a fifteen-year-old heating system, high energy bills, or expensive heating fuel.
But in reality, no one trait defines your perfect customer – and as humans, our assumptions tend to be wrong.
For example, most contractors believe heat pump buyers are clean energy enthusiasts – but our data shows that’s often not true.
And a global heat pump manufacturer was surprised to learn household income isn’t as big of a factor as they expected.
AI excels at making sense of massive amounts of information, especially when the signal isn’t obvious. Instead of looking at each attribute in isolation, AI learns how different variables tend to show up together.
So you don’t need to guess what makes a household worth targeting. The 257 platform does that for you, letting you focus on other aspects of HVAC customer acquisition: messaging, creative, and funnels that convert leads into revenue.
Which brings us to…
Step 3: Personalize offers using customer insights
The best customer intelligence won’t matter much if your marketing doesn’t resonate with the qualified prospects you’ve identified.
Finding likely buyers is the critical first step in HVAC customer acquisition. Using what you know about them to segment your offers, ad copy, and landing pages will help you generate even more demand.
With 257, you don’t just learn who’s in market for a new heating or cooling system.
You gain access to hundreds of other insights about their households: current heating source, utility, income, primary language spoken inside the home, and so much more.
These are only a few ways you can personalize your promotions with that intel:
Highlight the discounts available to rebate-eligible households
Showcase financing options to middle-income households
Tout energy savings potential to prospects with high energy bills
With 130 million digital energy twins and 200 attributes each, you can get endlessly creative in your HVAC customer acquisition pursuits.
From intel to install
The difference between a slow shoulder season and a steady one doesn’t have to depend on the weather, Google’s latest LSA updates, or luck.
You have more control than you may think over lead quality, ticket size, and cost – as long as you use the right AI for your HVAC customer acquisition.
Pink is the conversational interface to 257’s platform that anyone can use, regardless of technical background. It’s the accessible “front door” to our billions of residential data points.
Audience insights are free, and when you use them for your ad campaigns on Google, Meta, direct mail, or other media, you pay only on results.
Try it today!
Target more valuable homes with AI trained on data like heat pump upgrades and water heater replacements
There’s never a bad time to book an install job as an HVAC business, but in the shoulder season, these calls are especially welcome.
As emergency repairs slow down, proactive HVAC customer acquisition becomes even more important. Marketers must generate enough big-ticket jobs to keep crews busy and revenue consistent until the phones start ringing nonstop once again.
Off-peak installations – whether an A/C replacement, heat pump upgrade, or ductless add-on – can be better for consumers, too.
With less pressure to make an emergency decision, they have more time to understand their options, explore financing and incentives, and choose the right long-term solution.
But as a marketer, these win-win scenarios require you to engage the right homeowners, with the right offer or message, at the right time.
The key to unlocking that level of targeting and personalization? Predictive customer intelligence on every home in your service area. And that’s now at our fingertips thanks to AI built for HVAC customer acquisition.
Step 1: Use customer intelligence built for HVAC
If you advertise on Google or Meta, you’re no stranger to AI. But AI is only as good as the data it’s trained on, and neither Google nor Meta knows anything about a user’s home.
They have a wealth of behavioral data, yet they’re missing the property-level information that actually matters for major home investments like heat pumps, water heaters, and backup generators.
Which means no matter how sophisticated their AI is, it doesn’t have inputs relevant to heating, cooling, or home energy products, such as:
Residence type and homeowner status
HVAC system age, especially end-of-life equipment
Heating fuel
Rebate program eligibility
Energy consumption
That’s where 257 comes in. A customer intelligence and marketing solution designed for HVAC customer acquisition (and the larger residential energy market including solar, storage, and utilities), we use machine learning and billions of data points to build ‘digital energy twins’ – i.e., accurate, up-to-date models – for all 130 million U.S. homes.
Step 2: Leverage propensity models trained on installs
We capture hundreds of property and energy characteristics on every residence in the country, uncovering dozens of different attributes that predict how likely a household is to perform a desired behavior.
Using machine learning to analyze the traits of your ideal customer – for instance, someone who’s retrofitted their HVAC system, replaced their water heater, or added a smart thermostat – we build a predictive model of the likelihood of other homes doing the same.
The closest ‘lookalike audience’ can then be precision targeted through Meta, Google, direct mail, and other sales channels.
Let’s say you want to install more heat pumps in your territory. Thanks to our digital energy twins, we know which homes have recently added a heat pump, both throughout the whole U.S. and specifically in your local market.
Our models examine these households to expose what they have in common. With this framework, they score the non-heat pump homes in your service area based on how similar they are to new heat pump homes.
The higher this score, the better the fit for your marketing efforts. And the less you have to spend to build a healthy pipeline of big-ticket leads.
Propensity scoring versus rules-based targeting
You may think it’s self-evident what influences a new heat pump addition: perhaps a fifteen-year-old heating system, high energy bills, or expensive heating fuel.
But in reality, no one trait defines your perfect customer – and as humans, our assumptions tend to be wrong.
For example, most contractors believe heat pump buyers are clean energy enthusiasts – but our data shows that’s often not true.
And a global heat pump manufacturer was surprised to learn household income isn’t as big of a factor as they expected.
AI excels at making sense of massive amounts of information, especially when the signal isn’t obvious. Instead of looking at each attribute in isolation, AI learns how different variables tend to show up together.
So you don’t need to guess what makes a household worth targeting. The 257 platform does that for you, letting you focus on other aspects of HVAC customer acquisition: messaging, creative, and funnels that convert leads into revenue.
Which brings us to…
Step 3: Personalize offers using customer insights
The best customer intelligence won’t matter much if your marketing doesn’t resonate with the qualified prospects you’ve identified.
Finding likely buyers is the critical first step in HVAC customer acquisition. Using what you know about them to segment your offers, ad copy, and landing pages will help you generate even more demand.
With 257, you don’t just learn who’s in market for a new heating or cooling system.
You gain access to hundreds of other insights about their households: current heating source, utility, income, primary language spoken inside the home, and so much more.
These are only a few ways you can personalize your promotions with that intel:
Highlight the discounts available to rebate-eligible households
Showcase financing options to middle-income households
Tout energy savings potential to prospects with high energy bills
With 130 million digital energy twins and 200 attributes each, you can get endlessly creative in your HVAC customer acquisition pursuits.
From intel to install
The difference between a slow shoulder season and a steady one doesn’t have to depend on the weather, Google’s latest LSA updates, or luck.
You have more control than you may think over lead quality, ticket size, and cost – as long as you use the right AI for your HVAC customer acquisition.
Pink is the conversational interface to 257’s platform that anyone can use, regardless of technical background. It’s the accessible “front door” to our billions of residential data points.
Audience insights are free, and when you use them for your ad campaigns on Google, Meta, direct mail, or other media, you pay only on results.
Try it today!
Copyright © 2025 257.co | All Rights Reserved |
Copyright © 2025 257.co | All Rights Reserved