Predictive Targeting.
Lookalike audiences.
For direct mail.
The Most Advanced Targeting in Home Services. Mail only the top 3%
most likely to buy.
Lookalike audiences.
For direct mail.
The Most Advanced Targeting in Home Services. Mail only the top 3%
most likely to buy.
You're already paying to reach homeowners. But 80 to 90% of that spend hits people who will never call you. That's not a creative problem. That's a targeting problem.
Real spending capacity, not just reported income.
Ages of children, household composition.
Personality patterns, lifestyle indicators, values.
Type, age, and value of vehicles in the household.
Age, value, size, and ownership history.
Magazine subscriptions, cultural activities.
data attributes analyzed per household to predict buying behavior.
We analyzed thousands of real customer profiles across home service industries. The model identifies what they have in common, then finds more homeowners just like them in your market.
Thousands of real buyer records analyzed across roofing, painting, landscaping, pest control, and more.
250+ attributes studied. The model finds what buyers have in common that non-buyers don't.
In your specific service area, the model identifies the top 3% of homes that match the buyer profile.
You send fewer pieces, to better prospects, at a lower effective CAC. More jobs. Less waste.
Our data scientists analyzed thousands of postcard campaigns across dozens of home service verticals. The breakdown is consistent: who you mail matters more than anything else you put on the card.
Predictive Targeting attacks the variable that controls half your response rate. Every other optimization works downstream of this.
Four tools. Each built for a different job. Pick the one that fits the campaign.
See what Predictive Targeting looks like on your actual service area. We'll pull a sample list and show you the attribute breakdown on a demo call.
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