If you run a residential home services business, you know your operational growth depends on finding new customers. But finding them is becoming prohibitively expensive.
The Reality of Traditional Home Service Marketing
- Every Door Direct Mail (EDDM): Can exceed $1,000 in postage alone just to cover a single zip code.
- Search Engine Ads: Range from $15 to $35+ per click, often stacking up to $150+ for a single qualified lead.
- Door Knocking & Outreach: Turns into a time-intensive, high-friction experiment without prior address verification.
The problem isn't your offer, your reputation, or the quality of your craftsmanship. The problem is targeting. You are spending hard-earned capital trying to market to an entire town, rather than focusing strictly on the specific addresses that actually require your services today.
The Hidden Signals in Local Public Data
The property intelligence required to build high-converting target lists already exists in public records. However, it sits fragmented across disparate town portals, land cards, and unformatted registries. When unified, these records reveal clear signals:
Assessor Land Cards
Pinpoints precise home build dates, square footage, and exterior materials (e.g., cedar siding vs. vinyl, asphalt shingle vs. slate).
Municipal Permits
Reveals repair history, or the absence of one. A home built in 1998 with zero roofing or HVAC permits on file for 20 years is a high-propensity replacement target.
Real Estate Sales
Identifies recent home buyers who are actively executing planned renovation budgets, interior painting, landscaping overhauls, or energy upgrades.
Census & Demographics
Filters out low-equity or budget-constrained neighborhoods, allowing you to focus premium offerings strictly on qualified addresses.
Your CRM History
Analyzes the exact structural and demographic traits of your highest-margin past clients to model lookalikes across target geographies.
How Horvath Data Labs Solves This
We don’t just clean and hand you static spreadsheets, we architect automated, reproducible data pipelines that feed actionable targeting directly into your sales and marketing operations.
- Automated Data Aggregation: We build custom pipelines to continuously extract and structure local construction dates, municipal permit histories, real estate transactions, and census data.
- CRM Analysis & Lookalike Modeling: We connect directly to your historical CRM database to identify patterns among your most profitable past clients.
- Predictive Scoring Models: We deploy machine learning models that assign predictive propensity scores to every single homeowner in your territory.
- Seamless Workflow Integration: Target address lists are piped directly into your existing CRM, direct mail fulfillment houses, or field sales routing software.