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We need universal digital ad transparency now

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15 researchers propose a new standard for advertising disclosures

Dear Mr. Zuckerberg, Mr. Dorsey, Mr. Pichai and Mr. Spiegel: We need universal digital ad transparency now!

The negative social impacts of discriminatory ad targeting and delivery are well-known, as are the social costs of disinformation and exploitative ad content. The prevalence of these harms has been demonstrated repeatedly by our research. At the same time, the vast majority of digital advertisers are responsible actors who are only seeking to connect with their customers and grow their businesses.

Many advertising platforms acknowledge the seriousness of the problems with digital ads, but they have taken different approaches to confronting those problems. While we believe that platforms need to continue to strengthen their vetting procedures for advertisers and ads, it is clear that this is not a problem advertising platforms can solve by themselves, as they themselves acknowledge. The vetting being done by the platforms alone is not working; public transparency of all ads, including ad spend and targeting information, is needed so that advertisers can be held accountable when they mislead or manipulate users.

Our research has shown:

  • Advertising platform system design allows advertisers to discriminate against users based on their gender, race and other sensitive attributes.
  • Platform ad delivery optimization can be discriminatory, regardless of whether advertisers attempt to set inclusive ad audience preferences.
  • Ad delivery algorithms may be causing polarization and make it difficult for political campaigns to reach voters with diverse political views.
  • Sponsors spent more than $1.3 billion dollars on digital political ads, yet disclosure is vastly inadequate. Current voluntary archives do not prevent intentional or accidental deception of users.

While it doesn’t take the place of strong policies and rigorous enforcement, we believe transparency of ad content, targeting and delivery can effectively mitigate many of the potential harms of digital ads. Many of the largest advertising platforms agree; Facebook, Google, Twitter and Snapchat all have some form of an ad archive. The problem is that many of these archives are incomplete, poorly implemented, hard to access by researchers and have very different formats and modes of access. We propose a new standard for universal ad disclosure that should be met by every platform that publishes digital ads. If all platforms commit to the universal ad transparency standard we propose, it will mean a level playing field for platforms and advertisers, data for researchers and a safer internet for everyone.

The public deserves full transparency of all digital advertising. We want to acknowledge that what we propose will be a major undertaking for platforms and advertisers. However, we believe that the social harms currently being borne by users everywhere vastly outweigh the burden universal ad transparency would place on ad platforms and advertisers. Users deserve real transparency about all ads they are bombarded with every day. We have created a detailed description of what data should be made transparent that you can find here.

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We researchers stand ready to do our part. The time for universal ad transparency is now.

Signed by:

Jason Chuang, Mozilla
Kate Dommett, University of Sheffield
Laura Edelson, New York University
Erika Franklin Fowler, Wesleyan University
Michael Franz, Bowdoin College
Archon Fung, Harvard University
Sheila Krumholz, Center for Responsive Politics
Ben Lyons, University of Utah
Gregory Martin, Stanford University
Brendan Nyhan, Dartmouth College
Nate Persily, Stanford University
Travis Ridout, Washington State University
Kathleen Searles, Louisiana State University
Rebekah Tromble, George Washington University
Abby Wood, University of Southern California

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5 Effective Ways to Run Facebook Ads A/B Tests

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Facebook Ads A/B Tests or split tests help them try different versions of ads with various campaign elements. This process helps them arrive at the best version for the organization’s target. 

A/B Tests offer a vast pool of resources to try out various versions. You may get caught up and lose your way to arriving at the best version in a limited time. To better understand this topic you can read the Facebook ad testing guide. Here are five effective ways to run Facebook Ads A/B Tests-

1) Start with the minimal number of variables

This approach will help you analyze the impact of a variable much better. The lesser the variables, the better will be the relevant results and more conclusive. Once you have various versions, you will need to run them through the A/B Significance Test to determine if the test results are valid.

2) The second way is to select the correct structure. 

There are two structures in A/B tests. One is a single ad test, and the other is multiple single variation ad sets. All the variations will go under one ad set in the first structure. Each variation will be under a separate ad set in the second one. Out of the two, the second one works out to be better and gives better results.

3) Use of spreadsheets is important to stay organized. 

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These spreadsheets help collect and analyze data to get meaningful insights and arrive at data-backed decisions.

4) Do target advertising and set realistic time goals. 

One approach is to choose an entirely new set of audiences. Also, the data pool should be vast and not the same as some existing campaigns. The reason for choosing a different audience is that Facebook may mix up your ads and give contaminated output. 

Another approach to choosing the right audience is to pick geography. It works better, especially when you have business in a particular region.   

It’s also essential to set a realistic timeline for your testing. Facebook suggests one should run a test for at least four days, but you can choose to run the test for up to 30 days.   

5) Set an ideal budget. 

The concept of a perfect budget is subjective. But, you can fix it yourself, or Facebook can do that for you based on your testing data. A large part of the test budget is spent on avoiding audience duplication. If the same audience sees variations, it could affect the test results.

Besides these top five effective ideas, you will need to take a few more action points to make the testing process efficient. Make sure you put the website’s domain link and not the landing page link in the ad, as that doesn’t look good. Put appropriate Call To Action Button, such as ‘Learn More,’ ‘Buy Now,’ etc. It’s also important to see how your ad is coming across on various electronic gadgets- mobile, tablets, etc.

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Another strategy that works is trying to engage the customer. You may add social engagement buttons such as ‘Like’ or ‘Comment.’ Use high-resolution images as they work better with the customers. Low-quality, highly edited images are often not liked and trusted by the consumers.

You can learn more about the audience behavior patterns with A/B test results. Conducting these tests on Facebook streamlines the entire process and makes it smooth for you. With the test results, advertisers and marketers can work on the creatives they need to utilize.

To sum it up, you can run an effective A/B test campaign within the specified budget. You don’t need to spend massive amounts to get your advertisement right. You’ll make the correct assumptions about the performance of variations with a good understanding of business and consumers.

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