How to analyze and optimize the results of working with different types of ads on Facebook Audience Network in traffic arbitrage.

Facebook Audience Network (FAN) is a powerful tool for traffic arbitrage. It allows you to place ads on third-party websites and apps, reaching a wider audience than just Facebook. However, to be successful with FAN, you need to analyze and optimize your results. In this article, we’ll explore how to do just that.

First, let’s talk about the different types of ads you can run on FAN. There are two main types: native ads and banner ads. Native ads are designed to blend in with the content of the website or app they’re displayed on. They typically include an image, headline, and description. Banner ads, on the other hand, are more traditional display ads that appear at the top or bottom of a website or app.

When analyzing your results on FAN, it’s important to look at the performance of each ad type separately. This will help you determine which type of ad is most effective for your campaign. Here are some metrics to look at:

Click-through rate (CTR): This measures the percentage of people who clicked on your ad. A higher CTR indicates that your ad is more engaging and relevant to your audience.

Conversion rate: This measures the percentage of people who clicked on your ad and then completed the desired action, such as making a purchase or filling out a form. A higher conversion rate indicates that your ad is effectively targeting the right audience.

Cost per click (CPC): This measures the average cost per click on your ad. A lower CPC indicates that your ad is more cost-effective.

When analyzing your results, it’s important to look at these metrics over time. This will help you identify trends and make informed decisions about how to optimize your ads.

Now, let’s look at some examples from practice. One of our clients was running a campaign on FAN using both native and banner ads. After analyzing their results, we found that the native ads had a significantly higher CTR and conversion rate than the banner ads. As a result, we recommended that they focus their budget on native ads and phase out the banner ads. This led to a significant increase in conversions and a lower overall cost per acquisition.

Another client was running a campaign on FAN using only native ads. After analyzing their results, we found that their CTR was high, but their conversion rate was low. We recommended that they adjust their targeting to reach a more relevant audience. This led to an increase in conversions and a lower overall cost per acquisition.

In conclusion, analyzing and optimizing your results on FAN is crucial for success in traffic arbitrage. By looking at the performance of each ad type separately and tracking metrics over time, you can make informed decisions about how to optimize your ads. And by using real-world examples, we hope to have given you a better understanding of how to put these strategies into practice.