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Facebook bans face mask ads to fight coronavirus price gouging

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On Friday, Facebook announced that it would further attempt to limit coronavirus-related chaos on its platform by banning commerce listings and advertisements for medical face masks.

“We’re monitoring COVID19 closely and will make necessary updates to our policies if we see people trying to exploit this public health emergency,” Facebook Director of Product Management Rob Leathern said in an update on Twitter. “We’ll start rolling out this change in the days ahead.”

“We are temporarily banning advertisements and commerce listings that sell medical face masks,” a Facebook spokesperson told TechCrunch. “Our teams are monitoring the COVID19 situation closely and will make necessary updates to our policies if we see people trying to exploit this public health emergency.”

Facebook will also limit any ads for medical products that imply a limited supply or create a sense of urgency among potential buyers, as well as ads that make guarantees for COVID-19 “cures” or prevention. Along with those changes, in the next few days Facebook will begin blocking coronavirus-themed groups and pages from its algorithmic recommendations.

As fears of a novel coronavirus epidemic swell worldwide, online platforms have scrambled to stop price gouging and health misinformation. Amazon is working to eradicate “high priced offers” on products like hand sanitizer and face masks from its marketplace, while Ebay has banned all listings for N95 and N100 face masks, hand sanitizer and alcohol wipes. The online auction site will also reject any listings exploiting terms like “COVID-19” and “coronavirus.”

On Wednesday, Senator Ed Markey (D-MA) wrote an open letter to Amazon’s Jeff Bezos expressing concern over “continued reports of price gouging and a lack of transparency” on the site.

“No one should be allowed to reap a windfall from fear and human suffering,” Markey wrote, adding that online retailers have a “particular responsibility” to protect consumers in the midst of the coronavirus outbreak.

Earlier this week, Facebook announced that coronavirus-related searches on its platform would be greeted with an automatic pop-up featuring information from the World Health Organization and local health authorities.

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“Given the developing situation, we’re working with national ministries of health and organizations like the WHO, CDC and UNICEF to help them get out timely, accurate information on the coronavirus,” Mark Zuckerberg wrote in an update on his company’s efforts. “We’re giving the WHO as many free ads as they need for their coronavirus response along with other in-kind support.”

The company is also focused on curtailing potentially life-threatening coronavirus misinformation, removing ads, conspiracy theories and treatment claims with no scientific basis. Facebook’s decision to disable ads for face masks comes at a time when health authorities are urging well people to forgo buying the masks, both because they are not necessary for healthy individuals to wear and because demand for the masks is constricting their supply for the medical workers who need them most.

TechCrunch

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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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