CASE STUDIES

CASE STUDY 01: The $45k Multi-Channel Scale

Client: Digital Marketing Agency (USA) The Problem: The sales team was spending 4 hours a day manually researching LinkedIn profiles and writing cold emails, leading to burnout and low meeting volume. The Solution: Deployment of the "Gato Rojo Scout Engine". We automated the research phase using AI to scrape website data and LinkedIn bios to create hyper-personalized "icebreakers". The Results:

  • Meetings Booked: +215% in the first 30 days.

  • Cost per Lead: Reduced from $45 to $12.

  • New Revenue: $45,000 in closed deals within two months.

CASE STUDY 02: Autonomous Lead Qualification

Client: B2B SaaS Provider (UK) The Problem: 80% of the leads coming from their website were "trash" (low budget or wrong industry), wasting the CEO's time in useless calls. The Solution: Implementation of an "AI Guardian Bot". A custom LLM-trained agent that chats with leads in real-time, qualifies them based on revenue/industry, and only offers the Calendly link to "A-Tier" prospects. The Results:

  • Filtering: 100% of unqualified leads were redirected to a waiting list without human intervention.

  • Time Saved: 15 hours/week for the sales team.

  • Conversion Rate: 40% increase in Close Rate due to better lead quality.

CASE STUDY 03: The "Ghost Domain" Resurrection

Client: Lead Gen Agency (Canada) The Problem: Their main domains were blacklisted. Deliverability was at 12%. Cold outreach was dead. The Solution: A full "Domain Infrastructure Overhaul". We deployed 10 ghost domains with automated warm-up protocols and AI-driven copy variance to bypass spam filters. The Results:

  • Deliverability: Jumped from 12% to 94%.

  • Inbox Placement: Consistent primary folder placement.

  • Sustainability: The system now sends 1,000 emails/day with zero domain burns.