Digital Growth

Building scalable, high-margin profit centers.

The $1.06M Annualized Revenue Recovery Engine

• The Problem: Ortega had $250k in unsold estimates sitting "dead" in the CRM.

• The Solution: Built a 24/7 automation layer (Make.com + CHIIRP) that triggered personalized SMS/Email follow-ups based on CRM status changes.

• The Result: $84,419 in closed revenue in Month 1; zero increase in ad spend.

The 80-Hour/Month RevOps Pipeline

• The Problem: 8 salesmen spending 30 mins/day on manual paper-based data entry.

• The Solution: Engineered a bridge between the legacy DBS system and a centralized Master Notes Spreadsheet via Fast Fax and Make.com.

• The Result: 80 hours of manual labor eliminated per month; 100% operational transparency.

How I recovered $84,419 in 30 days using automated lead reactivation.

How I automated B2B data governance to reclaim 20 hours of weekly departmental capacity.

The $168k Capital Recovery & Geo-Optimization Audit

• The Problem: Ad spend was being "sprayed" across low-ROI zip codes with high travel costs.

• The Solution: Performed a P&L audit of service areas. Paused all paid media in "low-margin" zones and reallocated budget to "high-margin" core zones.

• The Result: Recovered $4k–$8k per week in revenue by ensuring 100% capacity was spent on high-ticket, local jobs.

How I identified and eliminated $168,000 in annualized marketing waste.

The "Meta Demand Engine" (UGC Framework)

• The Problem: Traditional "Tax Credit" ads were failing; inbound call volume had dropped to zero.

• The Solution: Produced high-energy, UGC-style creative focusing on "Pain vs. Solution" rather than "Features."

• The Result: Outperformed legacy ads by 80.3% and restored call volume within 72 hours.

How I achieved a $42.13 CPR during a 2-week call drought.

The Data-Driven Mar-Ops Automation

• The Problem: Ortega Marketing Agency had not set up a way for ServiceTitan sales data to reach Google/Meta, causing AD algorithms to optimize for "cheap leads" rather than closed revenue.

• The Solution: Built a Zapier automation bridge to sync "Sold" job statuses directly into ad platforms for real-time, high-intent algorithm training.

• The Result: Achieved 100% attribution accuracy and transitioned marketing optimization from "Cost-Per-Lead" to actual "Return on Ad Spend."

How I achieved 100% attribution accuracy and optimized lead quality using automated offline conversion syncing.