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

LivLife Hospitals Facebook ad Introduction by ad spy method

“LivLife Hospitals” introduction:LivLife Hospitals ( is committed to the highest standards of care for the patients. Professional standards are maintained within the hospital and monitored through rigorous annual audit.

“LivLife Hospitals” Facebook ads last run:2020-02-20 22:50:17

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

LivLife Hospitals Top3 Ads Case Study:

Advertisers LivLife Hospitals LivLife Hospitals LivLife Hospitals
Ad title LivLife Hospitals LivLife Hospitals (@livlifehospitals) • Instagram photos and videos LivLife Hospitals
Ad text Wishing all the wonder women out there, Avery happy women's day! #HappyWomensDay #WomensDay #Wome... Wishing all the wonder women out there, Avery happy women's day! #HappyWomensDay #WomensDay #wome... It's time to lose weight & save your life! To book an appointment, leave your contact number in t...
Ad format Image Image Image
Categories Doctor Doctor Doctor
Duration 1 days 1 days 3 days
Like 7 0 90

LivLife Hospitals Facebook ad case study and analytics

1.Ad format case study:

The ad formats used by “LivLife Hospitals” 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.

“LivLife Hospitals” likes to use Image ads as material. In fact, Facebook’s creatives determine the user’s first sense. “LivLife Hospitals” 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 LivLife Hospitals LivLife Hospitals (@livlifehospitals) • Instagram photos and videos LivLife Hospitals
Ad text  Wishing all the wonder women out there, Avery happy women's day! #HappyWomensDay #WomensDay #Wome...  Wishing all the wonder women out there, Avery happy women's day! #HappyWomensDay #WomensDay #wome...  It's time to lose weight & save your life! To book an appointment, leave your contact number in t...
Ad type  other  other  other
Ad word count 106  106  333

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

3. Type of CTA case study:

The types of CTA used by “LivLife Hospitals” are:MESSAGE_PAGE,INSTAGRAM_MESSAGE,MESSAGE_PAGE.

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 “MESSAGE_PAGE” help “LivLife Hospitals” 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 “LivLife Hospitals” test.

4. Ad schedule case study:

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

Related “LivLife Hospitals” ad case study report

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

Finally, the above is the ad spy and case study for “LivLife Hospitals”. 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.