Award-winning Case Study For Fashion Show Collections 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 “Fashion Show Collections”, or large enterprises, they have established a Facebook page for advertising and promotion. “Fashion Show Collections” chose to advertise on Facebook and achieved success. Now, BigSpy do a case study and research on “Fashion Show Collections” through the method of adspy!

Fashion Show Collections Facebook ad Introduction by ad spy method

“Fashion Show Collections” introduction:Rosewe.com Facebook Page. Fashionable Clothing & Free Shipping Worldwide

“Fashion Show Collections” Facebook ads last run:2020-02-17 07:48:34

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 “Fashion Show Collections” ads data to help “Fashion Show Collections” 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 “Fashion Show Collections”. In this report, we analyze in detail the best ad cases of “Fashion Show Collections”.

Fashion Show Collections Top3 Ads Case Study:

 1st2nd3rd
Advertisers Fashion Show Collections Fashion Show Collections Fashion Show Collections
Ad title Free Shipping Worldwide 10% OFF OVER $40 USE CODE: best01 Plus Size Cold Shoulder Round Neck Maxi Dress
Ad text Buying a New Jumpsuit? This Site Has Everything You Want! Elegant dresses, look so gorgeous on you! Up to 50% off & Free shipping #Rosewe Black Friday & Cyber Monday Big Sale. $70-$10, $100-$20, $200-$50, $300-$100 Code: 19SALE
CTA type SHOP_NOW LEARN_MORE SHOP_NOW
Ad format Image Video Carousel
Categories other other other
Duration 1 days 1 days 1 days
Like 309 40 0

Fashion Show Collections Facebook ad case study and analytics

1.Ad format case study:

The ad formats used by “Fashion Show Collections” top 3 ads are: Image,Video, and Carousel.

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.

“Fashion Show Collections” likes to use Image ads as material. In fact, Facebook’s creatives determine the user’s first sense. “Fashion Show Collections” 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 Free Shipping Worldwide 10% OFF OVER $40 USE CODE: best01 Plus Size Cold Shoulder Round Neck Maxi Dress
Ad text  Buying a New Jumpsuit? This Site Has Everything You Want!  Elegant dresses, look so gorgeous on you! Up to 50% off & Free shipping #Rosewe  Black Friday & Cyber Monday Big Sale. $70-$10, $100-$20, $200-$50, $300-$100 Code: 19SALE
Ad type  other  other  other
Ad word count 58  81  91

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

3. Type of CTA case study:

The types of CTA used by “Fashion Show Collections” are:SHOP_NOW,LEARN_MORE,SHOP_NOW.

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 “SHOP_NOW” help “Fashion Show Collections” 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 “Fashion Show Collections” test.

4. Ad schedule case study:

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

Related “Fashion Show Collections” ad case study report

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

Finally, the above is the ad spy and case study for “Fashion Show Collections”. 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.