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

Vestiaire Collective Facebook ad Introduction by ad spy method

“Vestiaire Collective” introduction:Leader européen de la mode d'occasion luxe et haut de gamme

“Vestiaire Collective” Facebook ads last run:2020-02-20 21:20:20

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

Vestiaire Collective Top3 Ads Case Study:

Advertisers Vestiaire Collective Vestiaire Collective Vestiaire Collective
Ad title Mode et luxe d'occasion jusqu'à -70% Up to 70% Off Designer Fashion Up to 70% Off Designer Fashion
Ad text Le meilleur de la mode de seconde main vendue par votre communauté ! Profitez de milliers de pièc... Desirable pre-loved fashion sold by your community! Shop up to 70% off designer fashion. Download... Desirable pre-loved fashion sold by your community! Shop up to 70% off designer fashion. Download...
Ad format Video Carousel Carousel
Categories other other other
Duration 3 days 1 days 1 days
Like 2319 106 124

Vestiaire Collective Facebook ad case study and analytics

1.Ad format case study:

The ad formats used by “Vestiaire Collective” top 3 ads are: Video,Carousel, 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.

“Vestiaire Collective” likes to use Video ads as material. In fact, Facebook’s creatives determine the user’s first sense. “Vestiaire Collective” 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 Mode et luxe d'occasion jusqu'à -70% Up to 70% Off Designer Fashion Up to 70% Off Designer Fashion
Ad text  Le meilleur de la mode de seconde main vendue par votre communauté ! Profitez de milliers de pièc...  Desirable pre-loved fashion sold by your community! Shop up to 70% off designer fashion. Download...  Desirable pre-loved fashion sold by your community! Shop up to 70% off designer fashion. Download...
Ad type  other  other  other
Ad word count 154  110  110

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

3. Type of CTA case study:

The types of CTA used by “Vestiaire Collective” are:INSTALL_MOBILE_APP,INSTALL_MOBILE_APP,INSTALL_MOBILE_APP.

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 “INSTALL_MOBILE_APP” help “Vestiaire Collective” 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 “Vestiaire Collective” test.

4. Ad schedule case study:

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

Related “Vestiaire Collective” ad case study report

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

Finally, the above is the ad spy and case study for “Vestiaire Collective”. 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.