Award-winning Case Study For Power Over Energy By Adspy - BigSpy


Facebook is the world’s largest social media platform. 80% of brands choose to advertise on Facebook, which is full of business opportunities. Whether it’s individual users, small and medium enterprises like “Power Over Energy”, or large enterprises, they have established a Facebook page for advertising and promotion. “Power Over Energy” chose to advertise on Facebook and achieved success. Now, BigSpy do a case study and research on “Power Over Energy” through the method of adspy!

Power Over Energy Facebook ad Introduction by ad spy method

“Power Over Energy” introduction:Power Over Energy® is an energy literacy initiative focused on educating, empowering, and motivating us to make smart decisions about the way we use electricity.

“Power Over Energy” Facebook ads last run:2020-02-17 06:52:34

BigSpy is an adspy tool. BigSpy can capture ads from multiple social media such as Facebook, Instagram, Twitter, etc. It can spy ad information in 40 countries and store 160 million ad data. It is the world’s largest ad database.

BigSpy tracks and analyzes “Power Over Energy” ads data to help “Power Over Energy” find the best conversion ad creatives and ad copy. BigSpy makes the advertising world transparent, helps more businesses to increase sales conversions through adspy. 

Now BigSpy generates an ad report for “Power Over Energy”. In this report, we analyze in detail the best ad cases of “Power Over Energy”.

Power Over Energy Top3 Ads Case Study:

Advertisers Power Over Energy Power Over Energy Power Over Energy
Ad title Power Over Energy New Thermal Battery Could Be A "Game Changer" For Storing Renewable Energy We Can Do Better
Ad text Educating students about the environmental impacts of our energy and water choices can help inspi... TED TALK: A South Australian company has unveiled the world’s first operational thermal energy de... Traffic is suffocating our cities. We can do better. LIKE our page and find out how.
Ad format Image Image Image
Categories Nonprofit Organization Nonprofit Organization Nonprofit Organization
Duration 2 days 1 days 215 days
Like 215 1191 4009

Power Over Energy Facebook ad case study and analytics

1.Ad format case study:

The ad formats used by “Power Over Energy” top 3 ads are: Image,Image, and Image.

Ad format analytics and optimization suggestions:

The Facebook algorithm indicates that Facebook will show more video ads to users. So, to get more ad reach, consider video ads.

“Power Over Energy” likes to use Image ads as material. In fact, Facebook’s creatives determine the user’s first sense. “Power Over Energy” perform A / B testing on different creatives and use different creatives according to different audience types. In addition, you can also use BigSpy to spy the industry’s latest ads and competitors’ ads. BigSpy provides the material download function to help you solve your creative troubles.

2. Ad copy case study:

  1st 2nd 3rd
Ad title Power Over Energy New Thermal Battery Could Be A "Game Changer" For Storing Renewable Energy We Can Do Better
Ad text  Educating students about the environmental impacts of our energy and water choices can help inspi...  TED TALK: A South Australian company has unveiled the world’s first operational thermal energy de...  Traffic is suffocating our cities. We can do better. LIKE our page and find out how.
Ad type  other  other  other
Ad word count 178  249  84

The text in the ad is an important part of the ad, and it is the key to let the ad users convert into actual customers. Among all the ads of “Power Over Energy”, the text type used is other to obtain the best ad performance. “Power Over Energy” can use this copy style more. On the other hand, “Power Over Energy” mainly conducts A / B testing on the copy, because the different lengths of the copy, the symbols used, and the subject of the copy all directly affect the CTR.

Ad copy analytics and optimization suggestions:

Different copywriting effects are different. The core of designing copywriting is to capture the user’s psychology and the selling point of the product and retain the user with clever language. In addition, BigSpy monitors user responses for different copywriting. Before designing an ad copy, “Power Over Energy” can learn competitors how to write a good ad copy.

3. Type of CTA case study:

The types of CTA used by “Power Over Energy” are:LEARN_MORE,NO_BUTTON,LEARN_MORE.

Without the CTA button, the conversion cost per ad will increase by almost 2.5 times. Selecting the CTA button is better than not selecting it.
In the 1st ad, the use of “LEARN_MORE” help “Power Over Energy” gets a higher conversion.

CTA analytics and optimization recommendations:

Facebook ads must be tested in the final round of CTA when performing A / B testing. This detail may help you save a lot of budgets. In addition, BigSpy can filter competitors’ CTA types of Facebook ads through filtering, which can be used as a reference for the “Power Over Energy” test.

4. Ad schedule case study:

When doing Facebook ad marketing, “Power Over Energy” top 3 ads schedules are: 2 days,1 days, and 215 days.

Ad scheduling analytics and optimization suggestions:

Your ads are not valuable 24 hours a day, 7 days a week.

Check your Facebook ad report, you will find that the “Power Over Energy”‘s top 1 ad duration is 2 days. Every advertisement has a life cycle.
“Power Over Energy” should put ads in the best time period, so that ads get the most value in a limited time.

Related “Power Over Energy” ad case study report

If you want to check the best ad case study of other advertisers related to “Power Over Energy”, you can click the name below to view the related report.

Finally, the above is the ad spy and case study for “Power Over Energy”. The analytics and optimization of Facebook ads is a long-term accumulation process. In this report, the basic design of ads was learned through BigSpy. In real advertising marketing, marketers also need to have an in-depth analysis of products, grasp the audience’s psychology, learn about marketing, and make precise calculations of data.