Roofing Lead Generation
Generate Leads with high-propensity
roofing intender homeowner data

4X
5.8 Million
VERY LIKELY

3X
2.7 Million
LIKELY

2X
4.5 Million
MODERATELY LIKELY
$0.025
Mailing
List
$0.03
w/ Phone
Number
$0.03
w/ Email
Address
$0.04
w/ Email &
Phone
Request Info X
What is Roofing Lead Generation?
Roofing lead generation is the process of finding homeowners who might need to repair or replace their roof. In many states, insurance companies now require homeowners to replace older roofs before renewing their policies.
There are several ways to generate roofing leads—such as sending postcards, running online ads, or buying leads from lead-marketplaces.
DataZapp makes it easy by offering homeowner data that includes details like the year the home was built, square footage, age, income, and credit range—so you can target the right prospects in your area.
Introducing:
AI-powered High-Propensity Roofing Intender Leads – boost your conversions up to 8x
GENERATE YOUR OWN ROOFING LEADS!
🎯 Target Homeowners Most Likely to Repair or Replace Their Roof
Our AI-powered Roofing Intender Model helps you find homeowners who are most likely to need roof repairs or replacements soon.
It’s built using real permit data from past roofing projects and trained to analyze key factors like property details, location, and homeowner demographics.
The result? A high-accuracy dataset designed to supercharge your roofing marketing and lead generation efforts.
Propensity | Label | Description |
---|---|---|
4x | Very Likely | Homeowners who are 4x more likely than average to replace or repair their roof within the next 6-12 months. Strong indicators from property and demographic data suggest a priority decision. |
3x | Likely | Homeowners who are 3x more likely than average to replace or repair their roof within the next 12 months. Signals show an elevated need for decision due to aging roofs or environmental impact. |
2x | Moderately Likely | Homeowners who are 2x more likely than average to need roof replacement or major repairs within 18 months. Early indicators show an emerging need. |
The Science & Data behind Roofing Intender Modeling
30+ Machine-Learning Data Points
We track storm events & analyze permit-data to find demographic & behavioral trends & patterns.
A precise model is constructed & applied to our massive database of homeowners updated regularly.
We're on the Case, Tracking Storms & Crunching Data

Storms
Hail, Tornadoes, Hurricane-Strength Wind, etc.

Home Info
Year Home was Built, Square Footage, Home Value, etc.

Owner's Finances & Demographics
Household Income, Credit Range, Age