Window & Door Direct Marketing

Generate homeowner leads with a high-propensity
for window or door replacement needs

4X Window Propensity

4X

1.8 Million
VERY LIKELY

3X Window Propensity

3X

2.1 Million
LIKELY

2X Window Propensity

2X

3.8 Million
MODERATELY LIKELY

$0.025

Mailing
List

$0.03

w/ Phone
Number

$0.03

w/ Email
Address

$0.04

w/ Email &
Phone

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Direct Marketing for Window & Door Companies

Datazapp helps Window & Door service companies find homeowners who might need to repair or replace their windows or doors.
There are several ways to generate window & door 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 Window Intender Leads – boost your conversions up to 8x

GENERATE YOUR OWN WINDOW LEADS!

🎯 Target Homeowners Most Likely to Repair or Replace Their Windows

Our AI-powered Window Intender Model helps you find homeowners who are most likely to need window 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 window & door marketing and lead generation efforts.
PropensityLabelDescription
4xVery LikelyHomeowners who are 4x more likely than average to replace or repair their windows within the next 6-12 months. Strong indicators from property and demographic data suggest a priority decision.
3xLikelyHomeowners who are 3x more likely than average to replace or repair their windows within the next 12 months. Signals show an elevated need for decision due to aging windows or environmental impact.
2xModerately LikelyHomeowners who are 2x more likely than average to need windows replacement or major repairs within 18 months. Early indicators show an emerging need.

The Science & Data behind Windows 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

Hail

Storms

Hail, Tornadoes, Hurricane-Strength Wind, etc.

Roof Condition

Home Info

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

Wallet

Owner's Finances & Demographics

Household Income, Credit Range, Age

Where to Find Intender Leads in your Account:

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