I Tested 900 AI Offers: Here's What Actually Worked

2025-10-09 15:208 min read

Content Introduction

In this video, the speaker analyzes over 900 deals for AI services and shares three main patterns observed in successful projects. He emphasizes the differences between projects that earn $500 versus those worth over $60,000, highlighting the importance of focusing on customer acquisition, revenue generation, and understanding the market's needs. By examining real data, he presents actionable strategies for building front-end offers tied to revenue, designing recurring revenue models, and leveraging the 'foot in the door' strategy for business growth. The speaker encourages viewers to take immediate steps to enhance their AI offerings and provides a four-week actionable plan to improve client engagement, increase revenue, and establish long-term relationships. The importance of executing quickly, learning from real client feedback, and adjusting offers accordingly is also stressed, with a focus on practical applications that lead to substantial income.

Key Information

  • The speaker analyzed over 900 posted and closed deals for AI services within Maker School.
  • Three key patterns separate those stuck at lower deal values from those closing larger deals, which can exceed $60,000.
  • The largest AI automation community is in Maker School, focusing primarily on customer acquisition.
  • Major wins in AI services often involve the revenue proximity principle where front-end systems lead to significantly higher project values.
  • Recurring revenue is a crucial element, allowing for long-term income and cash flow, which makes upselling easier.
  • Actionable recommendations include auditing current offers against the revenue proximity principle and designing a recurring service component.
  • The importance of taking immediate action over perfect planning is emphasized, along with iterating based on client feedback.

Timeline Analysis

Content Keywords

AI Services Analysis

The speaker discusses the analysis of over 900 posted and closed deals for AI services, highlighting the biggest patterns separating those who make smaller projects from those who close larger deals worth over $60,000.

Customer Acquisition Patterns

Three main patterns are identified that distinguish people struggling at smaller project values from successful customers: focusing on customer acquisition, understanding recurring revenue, and leveraging front-end service offerings.

Revenue Proximity Principle

The concept emphasizes that projects touching the front-end (lead generation, sales, customer acquisition) typically yield 350% higher project values compared to back-end services.

Recurring Revenue

Recurring revenue is highlighted as a significant factor in gaining substantial income, enabling consultants to build long-term income and stability while focusing on meeting client needs.

Foot-in-the-Door Strategy

This approach involves starting with smaller or imperfect projects to gain entry into client relationships, which leads to higher long-term revenues and opportunities for upselling.

Actionable Steps for Improvement

The speaker suggests a four-week actionable plan to improve AI offerings, starting with an audit of current offers, designing recurring services, and implementing daily outreach strategies.

Real-World Applications

Examples of successful early-stage projects are shared, demonstrating that engaging with smaller projects can significantly enhance income potential and client retention.

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