Award-winning Case Study For Michael Vignola - Composer By Adspy - BigSpy

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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 “Michael Vignola - Composer”, or large enterprises, they have established a Facebook page for advertising and promotion. “Michael Vignola - Composer” chose to advertise on Facebook and achieved success. Now, BigSpy do a case study and research on “Michael Vignola - Composer” through the method of adspy!

Michael Vignola - Composer Facebook ad Introduction by ad spy method

“Michael Vignola - Composer” introduction:Multi Award-Winning Film Composer that specializes in Scoring to Picture for Film, TV and Video Games.

“Michael Vignola - Composer” Facebook ads last run:2020-01-20 21:07:13

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 “Michael Vignola - Composer” ads data to help “Michael Vignola - Composer” 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 “Michael Vignola - Composer”. In this report, we analyze in detail the best ad cases of “Michael Vignola - Composer”.

Michael Vignola - Composer Top3 Ads Case Study:

 1st2nd3rd
Advertisers Michael Vignola - Composer Michael Vignola - Composer Michael Vignola - Composer
Ad title Original Motion Picture Soundtrack Composer Michael Vignola Work with Michael on your project
Ad text Lucid | by Composer Michael Vignola Off the upcoming Motion Picture Soundtrack to the Drama/Horr... The Lucky Ones | by Composer Michael Vignola Dancing on Fire | by Composer Michael Vignola
CTA type LEARN_MORE LEARN_MORE BOOK_TRAVEL
Ad format Video Video Video
Categories Artist Artist Artist
Duration 1 days 2 days 1 days
Like 6 0 6

Michael Vignola - Composer Facebook ad case study and analytics

1.Ad format case study:

The ad formats used by “Michael Vignola - Composer” top 3 ads are: Video,Video, and Video.

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.

“Michael Vignola - Composer” likes to use Video ads as material. In fact, Facebook’s creatives determine the user’s first sense. “Michael Vignola - Composer” 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 Original Motion Picture Soundtrack Composer Michael Vignola Work with Michael on your project
Ad text  Lucid | by Composer Michael Vignola Off the upcoming Motion Picture Soundtrack to the Drama/Horr...  The Lucky Ones | by Composer Michael Vignola  Dancing on Fire | by Composer Michael Vignola
Ad type  other  other  other
Ad word count 119  44  45

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 “Michael Vignola - Composer”, the text type used is other to obtain the best ad performance. “Michael Vignola - Composer” can use this copy style more. On the other hand, “Michael Vignola - Composer” 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, “Michael Vignola - Composer” can learn competitors how to write a good ad copy.

3. Type of CTA case study:

The types of CTA used by “Michael Vignola - Composer” are:LEARN_MORE,LEARN_MORE,BOOK_TRAVEL.

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 “Michael Vignola - Composer” 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 “Michael Vignola - Composer” test.

4. Ad schedule case study:

When doing Facebook ad marketing, “Michael Vignola - Composer” top 3 ads schedules are: 1 days,2 days, and 1 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 “Michael Vignola - Composer”‘s top 1 ad duration is 1 days. Every advertisement has a life cycle.
“Michael Vignola - Composer” should put ads in the best time period, so that ads get the most value in a limited time.

Related “Michael Vignola - Composer” ad case study report

If you want to check the best ad case study of other advertisers related to “Michael Vignola - Composer”, you can click the name below to view the related report.

Finally, the above is the ad spy and case study for “Michael Vignola - Composer”. 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.