SUMMARY

Charley introduces the 3-2-2 ad method for Facebook ads, a strategy for maximizing efficiency and eliminating the need for excessive creative testing.

STATEMENTS

• Traditional ad testing methods are flawed and don't work on Facebook.
• Facebook's business model is to retain attention for as long as possible, which is the opposite of Google's model.
• The 3-2-2 ad method involves using three creatives, two primary texts, and two headlines to test and optimize ads.
• Facebook's machine learning platform can gather data on which elements perform best and optimize results.
• The goal of the 3-2-2 method is to let the machine learning and AI find the winning combination of creative elements.
• Ad fatigue is a product of operator error, not a natural phenomenon.
• Running multiple ads that cannibalize each other can lead to decreased performance and wasted budget.
• Using the 3-2-2 method can help advertisers achieve better and better performance over time.
• The 3-2-2 method is a step-by-step blueprint for creating ads that automatically optimize over time.
• Charley provides actionable insights, example setups, and tips on leveraging viral content and data to boost ad performance.
• The 3-2-2 method can help advertisers scale their Facebook ad spend confidently and efficiently.

IDEAS

• Using machine learning and AI to optimize Facebook ads can lead to better performance and increased efficiency.
• The 3-2-2 ad method can help advertisers eliminate the need for excessive creative testing.
• Facebook's business model is designed to retain attention, which requires a different approach to ad testing and optimization.
• Ad fatigue is not a natural phenomenon, but rather a product of operator error.
• Using the 3-2-2 method can help advertisers achieve a competitive advantage in the market.
• Leveraging viral content and data can help boost ad performance and increase efficiency.
• The 3-2-2 method can help advertisers scale their Facebook ad spend confidently and efficiently.
• Using machine learning and AI can help advertisers make data-driven decisions and optimize their ad spend.
• The 3-2-2 method can help advertisers improve their return on ad spend (ROAS) and increase their overall revenue.

INSIGHTS

• The key to successful Facebook ad testing is to use a machine learning-based approach that eliminates the need for excessive creative testing.
• Ad fatigue is not a natural phenomenon, but rather a product of operator error, and can be avoided by using the 3-2-2 method.
• Facebook's business model is designed to retain attention, which requires a different approach to ad testing and optimization.
• The 3-2-2 method can help advertisers achieve a competitive advantage in the market by leveraging machine learning and AI to optimize their ads.
• Leveraging viral content and data can help boost ad performance and increase efficiency.
• The 3-2-2 method can help advertisers scale their Facebook ad spend confidently and efficiently.
• Using machine learning and AI can help advertisers make data-driven decisions and optimize their ad spend.

QUOTES

• "Ad fatigue is a product of operator error, not a natural phenomenon."
• "The 3-2-2 ad method is a step-by-step blueprint for creating ads that automatically optimize over time."
• "Facebook's business model is designed to retain attention, which requires a different approach to ad testing and optimization."
• "The key to successful Facebook ad testing is to use a machine learning-based approach that eliminates the need for excessive creative testing."
• "Leveraging viral content and data can help boost ad performance and increase efficiency."

HABITS

• Use machine learning and AI to optimize Facebook ads.
• Leverage viral content and data to boost ad performance.
• Use the 3-2-2 ad method to eliminate the need for excessive creative testing.
• Scale Facebook ad spend confidently and efficiently using the 3-2-2 method.
• Make data-driven decisions and optimize ad spend using machine learning and AI.

FACTS

• Facebook's business model is designed to retain attention.
• Ad fatigue is not a natural phenomenon, but rather a product of operator error.
• The 3-2-2 ad method involves using three creatives, two primary texts, and two headlines.
• Facebook's machine learning platform can gather data on which elements perform best and optimize results.
• The 3-2-2 method can help advertisers achieve better and better performance over time.

REFERENCES

• Disrupter School
• Meta MBA Program
• Facebook Ads Course 2024
• Hexclad
• Gordon Ramsay
• Google
• Amazon
• Chat GPT
• Vid IQ
• Rev

HOW TO APPLY

• Use the 3-2-2 ad method to create ads that automatically optimize over time.
• Leverage machine learning and AI to optimize Facebook ads.
• Use viral content and data to boost ad performance.
• Scale Facebook ad spend confidently and efficiently using the 3-2-2 method.
• Make data-driven decisions and optimize ad spend using machine learning and AI.
• Use the 3-2-2 method to eliminate the need for excessive creative testing.

ONE-SENTENCE TAKEAWAY

The 3-2-2 ad method is a step-by-step blueprint for creating ads that automatically optimize over time, eliminating the need for excessive creative testing and helping advertisers scale their Facebook ad spend confidently and efficiently.

RECOMMENDATIONS

• Use the 3-2-2 ad method to create ads that automatically optimize over time.
• Leverage machine learning and AI to optimize Facebook ads.
• Use viral content and data to boost ad performance.
• Scale Facebook ad spend confidently and efficiently using the 3-2-2 method.
• Make data-driven decisions and optimize ad spend using machine learning and AI.

MEMO

Facebook advertising has become a crucial aspect of digital marketing, and the 3-2-2 ad method is a revolutionary strategy for ad testing that maximizes the efficiency of Facebook's machine learning. By using this method, advertisers can eliminate the need for excessive creative testing and achieve better and better performance over time. The 3-2-2 method involves using three creatives, two primary texts, and two headlines to test and optimize ads. Facebook's machine learning platform can gather data on which elements perform best and optimize results.

The key to successful Facebook ad testing is to use a machine learning-based approach that eliminates the need for excessive creative testing. Ad fatigue is not a natural phenomenon, but rather a product of operator error, and can be avoided by using the 3-2-2 method. Facebook's business model is designed to retain attention, which requires a different approach to ad testing and optimization.

By leveraging viral content and data, advertisers can boost ad performance and increase efficiency. The 3-2-2 method can help advertisers scale their Facebook ad spend confidently and efficiently. Using machine learning and AI can help advertisers make data-driven decisions and optimize their ad spend.

The 3-2-2 ad method is a step-by-step blueprint for creating ads that automatically optimize over time. By following this method, advertisers can achieve a competitive advantage in the market and increase their overall revenue. The method involves using a combination of human creativity and machine learning to create ads that resonate with the target audience.

In addition to the 3-2-2 method, advertisers can also use other tools and techniques to optimize their Facebook ads. For example, they can use chat GPT and vid IQ to generate high-confidence copy that resonates with the target audience. They can also use rev to optimize their ad spend and increase their return on investment.

Overall, the 3-2-2 ad method is a powerful tool for advertisers looking to optimize their Facebook ads and achieve better results. By leveraging machine learning and AI, advertisers can eliminate the need for excessive creative testing and achieve better and better performance over time. With the right strategy and tools, advertisers can scale their Facebook ad spend confidently and efficiently and achieve a competitive advantage in the market.

The 3-2-2 method is not just a strategy for Facebook ads, but also a way of thinking about advertising in general. It's about using data and machine learning to create ads that resonate with the target audience and drive results. By adopting this mindset, advertisers can stay ahead of the curve and achieve success in the ever-changing world of digital marketing.

In conclusion, the 3-2-2 ad method is a revolutionary strategy for ad testing that can help advertisers achieve better and better performance over time. By leveraging machine learning and AI, advertisers can eliminate the need for excessive creative testing and achieve a competitive advantage in the market. With the right strategy and tools, advertisers can scale their Facebook ad spend confidently and efficiently and achieve success in the world of digi