Facebook Advertising: How To Analyze Your Facebook Ad Data In The Ads Manager - Advanced Analysis

TL;DR

In this video, the speaker shares his experience in analyzing and scaling Facebook advertising campaigns by adding more data and testing different ad sets with a $5 per day budget.

Transcript

hey miles here milesbeckler.com and in this video we're going to go deeper into Facebook advertising data last week I published a video where we analyzed two ad sets that I had set up and I actually increased the bid to scale them a little bit so we're going to revisit those two Facebook advertising campaigns and AD sets that I was running last wee... Read More

Key Insights

• 💰 Running multiple Facebook ad campaigns and ad sets allows for more data collection and testing, leading to better audience targeting and increased ROI.
• 👥 Look-alike audiences and retargeting can be effective strategies for generating customers at a positive cost per acquisition.
• 💥 It is important to monitor and analyze key performance indicators (KPIs) such as cost per click, amount spent, cost per customer, and cost per lead to inform decision-making and scaling efforts.
• 📊 Having a clear understanding of your funnel and historical data can help determine acceptable cost per lead and guide budget allocation.
• 💡 Patience and a long-term approach to Facebook advertising can lead to steady growth and positive results.
• 🌍 Facebook advertising provides opportunities to reach a wide range of audiences across different interests, which can help expand brand visibility and increase leads.
• 💼 Automating your Facebook advertising campaigns allows for more flexibility and the ability to monitor and adjust campaigns remotely.
• ⚡️ Scaling Facebook ad campaigns with higher daily budgets requires closer monitoring of data and potential adjustments to avoid negative cash flow.

Questions & Answers

Q: How does the speaker analyze the success of each ad set?

The speaker primarily focuses on the cost per lead and ensures that it aligns with his desired key performance indicator (KPI). He looks for leads within the range of his historical data and considers being cash flow positive within that price frame.

Q: What is the speaker's approach to scaling Facebook advertising campaigns?

The speaker takes a conservative approach to scaling, allowing Facebook's machine learning algorithm to gather enough data before increasing the budget. He mentions that scaling quickly would require more time and attention to prevent any negative shifts in KPIs.

Q: How does the speaker automate his Facebook advertising to allow for minimal time investment?

The speaker sets up a funnel to deliver cold traffic, convert warm traffic into leads, and then structures another campaign to offer additional products to leads and customers. By automating this process, the speaker can go off the grid and still monitor the results with minimal time and energy investment.

Q: What is the significance of aggregating more data and testing different ad sets?

By adding more data and testing different ad sets, the speaker can gather more information about his target audience and identify the most effective campaigns. This allows for better targeting and optimization, ultimately leading to successful ROI in Facebook advertising.

Summary & Key Takeaways

• The speaker revisits previous Facebook advertising campaigns and ad sets, providing data and analysis on their performance since the last video.

• He shares the importance of giving Facebook's machine learning algorithm enough data to optimize and find the best leads for conversions.

• The speaker discusses his conservative approach to scaling campaigns and automating Facebook advertising to allow for minimal time and energy investment.