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

Neta Efrati נטע אפרתי Facebook ad Introduction by ad spy method

“Neta Efrati נטע אפרתי” introduction:נטע אפרתי-מעצבת אופנה שעות פתיחה רבי נחמן 4, שוק הפשפשים: א-ה 10:00-19:00 שישי וחג 10:00-15:00 כיכר דיזנגוף 3, ת"א 10:00-20:00 א'-ה', יום ו' 10:00-16:00 077-5644241 לבירורים

“Neta Efrati נטע אפרתי” Facebook ads last run:2020-02-17 07:28:36

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 “Neta Efrati נטע אפרתי” ads data to help “Neta Efrati נטע אפרתי” 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 “Neta Efrati נטע אפרתי”. In this report, we analyze in detail the best ad cases of “Neta Efrati נטע אפרתי”.

Neta Efrati נטע אפרתי Top3 Ads Case Study:

 1st2nd3rd
Advertisers Neta Efrati נטע אפרתי Neta Efrati נטע אפרתי Neta Efrati נטע אפרתי
Ad title Neta Efrati נטע אפרתי UP TO 50% OFF 70% הנחה על פריטים של אביב קיץ
Ad text FINAL SALE פריטים אחרונים החל מ-100 עד 300 שקלים> https://www.netaefrati.com/c/300-200-100/ UP TO 50% OFF בחנות: כיכר דיזנגוף ת"א ובאתר> https://www.netaefrati.com/c/new-on-sale/ קטגוריה מיוחדת של פריטים אביב קיץ ב-70% הנחה > https://www.netaefrati.com/c/sale/spring-70-off/
CTA type N/A SHOP_NOW SHOP_NOW
Ad format Image Image Video
Categories other other Clothing (Brand)
Duration 2 days 1 days 7 days
Like 13 4 0

Neta Efrati נטע אפרתי Facebook ad case study and analytics

1.Ad format case study:

The ad formats used by “Neta Efrati נטע אפרתי” top 3 ads are: Image,Image, 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.

“Neta Efrati נטע אפרתי” likes to use Image ads as material. In fact, Facebook’s creatives determine the user’s first sense. “Neta Efrati נטע אפרתי” 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 Neta Efrati נטע אפרתי UP TO 50% OFF 70% הנחה על פריטים של אביב קיץ
Ad text  FINAL SALE פריטים אחרונים החל מ-100 עד 300 שקלים> https://www.netaefrati.com/c/300-200-100/  UP TO 50% OFF בחנות: כיכר דיזנגוף ת"א ובאתר> https://www.netaefrati.com/c/new-on-sale/  קטגוריה מיוחדת של פריטים אביב קיץ ב-70% הנחה > https://www.netaefrati.com/c/sale/spring-70-off/
Ad type  other  other  other
Ad word count 91  86  95

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

3. Type of CTA case study:

The types of CTA used by “Neta Efrati נטע אפרתי” are:N/A,SHOP_NOW,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 “N/A” help “Neta Efrati נטע אפרתי” 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 “Neta Efrati נטע אפרתי” test.

4. Ad schedule case study:

When doing Facebook ad marketing, “Neta Efrati נטע אפרתי” top 3 ads schedules are: 2 days,1 days, and 7 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 “Neta Efrati נטע אפרתי”‘s top 1 ad duration is 2 days. Every advertisement has a life cycle.
“Neta Efrati נטע אפרתי” should put ads in the best time period, so that ads get the most value in a limited time.

Related “Neta Efrati נטע אפרתי” ad case study report

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

Finally, the above is the ad spy and case study for “Neta Efrati נטע אפרתי”. 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.