How It Works: AI-Powered Campaigns

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LeadGuy uses 200 data points to cherry-pick prospects predicted to do business now. We'll send each one a personalized postcard that refers you as the best choice for the service they need. Result: they call you!

Behavioral Buying Signals: Digital Footprints That Predict Action

Repeat Interest Patterns (Most Predictive):

• Previous opt-ins that went dormant now re-engaging
• Return visitors showing renewed interest after months away
• Cross-platform research behavior intensification
• Comparison shopping frequency increases
• Quote request patterns and timing escalation

Active Research Signals:

• Deep content engagement beyond surface browsing
• Multiple touch-point interactions across channels
• Download patterns showing serious information consumption
• Social media engagement with industry-specific content
• Online review reading and active participation

Pre-Purchase Behaviors:

• Shopping cart abandonment patterns revealing intent
• Competitor research depth and frequency analysis
• Question sophistication levels in inquiries
• Response time patterns to communications
• Engagement quality metrics

Life Event Triggers: When People Need You Most

Major Life Changes Creating Immediate Need:

• Recent home purchase or sale (public record)
• Marriage, divorce, or separation (public record)
• New baby or child leaving home
• Job promotion, loss, or career change
• Geographic relocation (address changes) - Prime for New Mover Mailers

Business Life Events:

• Business acquisition or sale (public record)
• New partnerships or major expansions
• Regulatory changes affecting industry compliance

Official Records: Government & Public Data Intelligence

Permit and Planning Activity:

• Building permits filed (renovation/construction needs)
• Business license applications and renewals
• Professional certification updates and acquisitions
• Contractor license obtainment
• Zoning and compliance applications

Public Filings:

• Business registration changes and updates
• Property transfers and real estate transactions

Timing Intelligence: When They Actually Buy

Seasonal and Cyclical Patterns:

• Historical purchase timing preferences by individual
• Budget cycle alignments (business and personal)
• Contract and subscription renewal dates
• Annual planning and decision-making cycles

Urgency Indicators:

• End-of-quarter business pressures
• Tax season implications and deadlines
• Holiday and special event timing needs
• Weather-dependent service requirements

Property & Asset Intelligence

Real Estate Indicators (Public Record):

• Property value appreciation rates
• Recent home improvements and investments (permits)
• Neighborhood development patterns
• School district changes affecting property values

Historical Pattern Recognition

Past Engagement Intelligence:

• Previous service provider relationships and timing
• Contract renewal patterns and decision cycles
• Referral and recommendation patterns

Communication Preferences:

• Response timing and preferred channel analysis
• Engagement depth and interaction quality metrics
• Decision-making timeline patterns

Demographic & Location Factors

Decision-Maker Profile:

• Primary influencer identification and characteristics
• Household composition and lifestyle factors
• Professional status and industry positioning
• Technology adoption and communication preferences

Geographic Factors:

• Location-specific service needs and requirements
• Local economic conditions and market trends
• Community demographic shifts
• Regional regulatory requirements

The Process:

1. AI Analysis - We process 200+ data points to score prospects 0-4
2. Filtering - Only prospects scored 3-4 (ready to buy) are selected
3. Personalized Mailers - Custom referral cards created with their name
4. Strategic Delivery - Cards mailed to homeowners, new movers, or businesses
5. Calls Come In - Prospects call you thinking you were recommended