I Tried Selling AI and Made $20K/mo in 56 Days (CASE STUDY)

About this video

• Video Title: I Tried Selling AI and Made $20K/mo in 56 Days (CASE STUDY)
• Channel: Nick Saraev
• Speakers: Nick Saraev, Daniel
• Duration: 46:13

Overview

This video is a case study and discussion about how Daniel managed to generate $20,000 per month within 56 days by selling AI and automation services. He shares his journey, strategies, and insights, emphasizing the importance of taking action, focusing on problem-solving, and understanding the human aspect of business.

Key takeaways

• Rapid Growth: Daniel achieved $0 to $10k in three weeks and was on track to hit $20k MRR within eight weeks by focusing on volume and taking action rather than striving for perfection.
• Consultant Background: Daniel's previous experience as a fractional COO consultant for law firms provided him with an understanding of business structure and the value of automation, which he was already implementing for clients.
• Service-Based Niche: Instead of a specific industry, Daniel niched down to providing ERPs in project management software like ClickUp, applying to any opportunity that mentioned it.
• Problem-Solving Focus: Clients are not just looking for automation widgets; they need someone who understands their business problems and can provide strategic solutions, leading to recurring revenue.
• Value of Perspective: The discussion highlights the importance of an outside perspective in business, as one cannot fully perceive their own business objectively.
• Challenges in Scaling: As businesses grow, managing client expectations and tempering excitement becomes a key challenge, ensuring realistic deliverables and avoiding over-promising.
• Evolving Business Models: The conversation explores different business models for scaling an automation agency, from traditional employee-based structures to fee-split models and productized services.
• Diversification vs. Focus: The trade-offs between specializing in a high-demand niche for rapid growth and diversifying to mitigate market disruption and provider risks are discussed.
• Action Over Knowledge: Success in this field is presented not as a problem of lacking knowledge, but as a matter of consistent action and effort ("reps").
• Embracing Failure: Daniel advises embracing failure and mistakes as a faster path to learning and achieving results.