Award-winning Case Study For Love Past Blue 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 "Love Past Blue", or large enterprises, they have established a Facebook page for advertising and promotion. "Love Past Blue" chose to advertise on Facebook and achieved success. Now, BigSpy do a case study and research on "Love Past Blue" through the method of adspy!You can check for more information on our website youtube ad spy.

Love Past Blue Facebook ad Introduction by ad spy method

"Love Past Blue" introduction:Love Past Blue is a pop rock band based in Dallas, Texas!

"Love Past Blue" Facebook ads last run:2020-02-20 20:58:46

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.You can check for more information on adspy twitter.

BigSpy tracks and analyzes "Love Past Blue" ads data to help "Love Past Blue" find the best conversion ad creatives and ad copy. BigSpy makes the advertising world transparent, helps more businesses to increase sales conversions through adspy. Get more advertising tips: "free native ads spy tool" "tracking ads online".

Now BigSpy generates an ad report for "Love Past Blue". In this report, we analyze in detail the best ad cases of "Love Past Blue".

Love Past Blue Top3 Ads Case Study:

Advertisers Love Past Blue Love Past Blue Love Past Blue
Ad title Photos from Love Past Blue's post Love Past Blue (@lovepastblue) • Instagram photos and videos Love Past Blue (@lovepastblue) • Instagram photos and videos
Ad text Thank you Rock Rage Radio for playing us on your station!! We had a blast hanging with y’all Recording vibes thanks for the support @regal_tip Woah!! We are on the cover of @startelegram today!
Ad format Carousel Image Image
Categories Performing Arts Performing Arts Performing Arts
Duration 1 days 1 days 1 days
Like 144 0 0

Love Past Blue Facebook ad case study and analytics

1.Ad format case study:

The ad formats used by "Love Past Blue" top 3 ads are: Carousel,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.

"Love Past Blue" likes to use Carousel ads as material. In fact, Facebook's creatives determine the user's first sense. "Love Past Blue" 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 Photos from Love Past Blue's post Love Past Blue (@lovepastblue) • Instagram photos and videos Love Past Blue (@lovepastblue) • Instagram photos and videos
Ad text  Thank you Rock Rage Radio for playing us on your station!! We had a blast hanging with y’all  Recording vibes thanks for the support @regal_tip  Woah!! We are on the cover of @startelegram today!
Ad type  other  other  other
Ad word count 92  50  50

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 "Love Past Blue", the text type used is other to obtain the best ad performance. "Love Past Blue" can use this copy style more. On the other hand, "Love Past Blue" 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, "Love Past Blue" can learn competitors how to write a good ad copy. If you are interested in cross-border e-commerce or advertising optimization, you can also check facebook audience targeting tool.

3. Type of CTA case study:


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 “N/A” help "Love Past Blue" 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 "Love Past Blue" test. If you are interested in cross-border e-commerce or advertising optimization, you can also check top shopify stores.

4. Ad schedule case study:

When doing Facebook ad marketing, "Love Past Blue" 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 "Love Past Blue"'s top 1 ad duration is 1 days. Every advertisement has a life cycle.
"Love Past Blue" should put ads in the best time period, so that ads get the most value in a limited time. I think you might also be interested in these contents “top shopify stores“ ”AdTargeting“.

Related "Love Past Blue" ad case study report

If you want to check the best ad case study of other advertisers related to "Love Past Blue", you can click the name below to view the related report.

Finally, the above is the ad spy and case study for "Love Past Blue". 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.