New Way to Run Facebook Ads In 2024 | It's Actually Better than Before ️‍🔥

Summary

The video script discusses strategies for running ads on Facebook in 2024, emphasizing the importance of learning from the platform's AI, Meta. It explains how Meta's AI analyzes campaigns to deliver the best results, including targeting, audience frequency, and budget optimization. The script also covers the concept of 'learning phase' for ads and how Meta has reduced the time and conversion requirements to exit it, allowing for quicker results and more efficient testing of ads, creatives, and targeting. The presenter suggests experimenting with broad targeting for e-commerce businesses and highlights the benefits of using AI in ad creatives and audience definition.

Takeaways

• 😀 The speaker has been updating and learning about Facebook advertising for the past five years, emphasizing the importance of watching the video until the end for insights on running ads in 2024.
• 🔍 Discusses the concept of 'Learning Phase' in Facebook ads, explaining how it analyzes campaigns to provide the best results.
• 📈 Highlights the importance of targeting in advertising, using the example of targeting for selling bed sheets and how Meta's AI analyzes various factors for optimal ad performance.
• 📊 Mentions how Meta's AI checks how often ads should be shown to the audience to convert into sales or leads, and also how it manages the budget for ad display.
• 📝 Talks about the importance of campaign structure, stating that a well-structured campaign allows Meta's AI to better analyze and optimize ad performance.
• 🚀 Explains that changes in ad creatives or targeting can cause the ad to re-enter the learning phase, affecting its performance.
• 📉 Describes the previous requirement of achieving 50 conversions within seven days to exit the learning phase, which was a challenge for many with smaller budgets.
• 🎯 Meta has reduced the learning phase duration, now requiring only 10 conversions within three days, making it easier for advertisers to optimize their campaigns quickly.
• 📉 Discusses the benefits of the reduced learning phase, allowing for quicker exit with lower ad budgets and easier adjustments for underperforming ads.
• 🛠 Suggests using broad targeting in ad campaigns, especially for e-commerce businesses, to test and see if it works well, as Meta's AI is smart enough to define the audience.
• 🔬 Emphasizes the importance of testing different ad elements such as creatives, targeting, and custom audiences to understand what works best for the audience and improve ad performance.

Q & A

What is the main focus of the video script?

The video script focuses on how to effectively run ads on Facebook in 2024, emphasizing the importance of learning from the platform's AI capabilities and adapting to its features like learning phase and targeting.

What does the speaker suggest is the first step in understanding Facebook ads?

The speaker suggests that the first step is to understand the concept of 'learning phase' in Facebook ads and how it impacts the performance and optimization of ad campaigns.

How does the AI from Meta analyze ad campaigns?

The AI from Meta analyzes ad campaigns by examining various targeting options and determining the best ways to deliver results, including how often to show ads to the audience to achieve sales or leads.

What is the significance of campaign structure according to the speaker?

The speaker emphasizes that a well-structured campaign is crucial because it allows Meta's AI to better analyze and optimize the ad's performance in the actual environment.

What was the previous requirement to exit the learning phase for an ad campaign?

Previously, to exit the learning phase, one had to achieve 50 conversions within 7 days, which was a challenge for many, especially with a limited budget.

How has Meta adjusted the learning phase requirements to make it easier for advertisers?

Meta has reduced the learning phase requirement to achieving just 10 conversions within 3 days, making it easier and faster for advertisers to exit the learning phase.

What benefits do advertisers get from the reduced learning phase duration?

The reduced duration allows advertisers to quickly exit the learning phase even with a small ad budget and makes it easier to test and optimize ads without spending too much time.

Why is it suggested to test multiple ad creatives and targeting options?

Testing multiple ad creatives and targeting options helps advertisers to find the most effective combinations that resonate with their audience and improve ad performance.

What role does AI play in ad creatives and audience targeting today?

AI now plays a significant role in developing ad copy based on user preferences and in deciding the audience for ads, making the ad creation and targeting process more efficient and personalized.

What is the speaker's experience with broad targeting in a dropshipping sales campaign?

The speaker found that using broad targeting without selecting any specific interests, except for age and location, resulted in sales from the early days of the campaign, indicating that broad targeting can work well in some cases.

Why is it important to test the audience for ads even after using AI tools for optimization?

Testing the audience is important because even with AI tools, understanding what works for your specific audience is crucial for achieving good results, and AI tools work best when provided with well-tested audience data.