Epidemic Clothing Competitive Intelligence|Ad Analysis by SocialPeta
Competitive intelligence is the first step in our marketing intelligence work and one of the most important parts. Only when we understand the details of our competitors can we formulate a correct and effective marketing strategy.
In this report, SocialPeta analyzes the Epidemic Clothing's ad analysis from multiple aspects and helps you see the competitive intelligence of top grossing apps Epidemic Clothing.
Now, I'll tell you how to gain a competitive advantage by SocialPeta.
1. Basic Information of Epidemic Clothing
App Name : Epidemic Clothing
Logo:
OS : iOS
Network : Instagram,Facebook,Audience Network
Developer : RINO ANGKY RAGUSTI
Publisher : Instagram,Facebook,Ant Smasher,USA Weather forecast
Total creative ads during the time period : 138
Duration : 491
Popularity : 54,397
Check ASO Keywords of Epidemic Clothing
2. Epidemic Clothing’s Competitive Intelligence
what is competitive intelligence? Competitive intelligence is the most important part of our marketing. Only when we fully understand the overall situation of our competitors and the market can we make accurate judgments.
Before advertising, we usually use various tools, such as SocialPeta, to check the details of competitors' ads. In this report, we will analyze the recent advertising performance of advertiser Epidemic Clothing in detail to understand its advertising strategy.
Trend of Category
There are many types of creatives. We mainly analyze the trend of the ad creative category of Epidemic Clothing in the recent period. As of 2021-03-03, among the Epidemic Clothing‘s ad creative, the Html category's proportion is 0.0%, Video category's proportion is 0.0%, Playable Ads category's proportion is 0.0%, Image category's proportion is 100.0%, Carousel category's proportion is 0.0%.
Ad Network Analysis
The network that SocialPeta monitors can cover almost all mainstream channels in the world. Understanding the competitor's advertising channels is the first step in marketing work. According to the analysis of SocialPeta, we can see that in the date of 2021-03-03, Epidemic Clothing's the proportion of networks impressions are placed like this:
Facebook's proportion is 25.0%,
Audience Network's proportion is 25.0%,
Instagram's proportion is 25.0%,
Messenger's proportion is 25.0%,
's proportion is .
In the date of 2021-03-03, Epidemic Clothing‘s network with the most ads is Facebook and its proportion is 25.0%.
3. Top 3 Ad Creative Analysis of Epidemic Clothing
This is the detailed information of the top three ad creatives with the best performance among all ad creatives of Epidemic Clothing. We can see some advertising trends.
Top 1 Ad Creative of Epidemic Clothing
Ad Details :
Headline :Marigold
Text :
Top 2 Ad Creative of Epidemic Clothing
Ad Details :
Headline :Authory
Text :
Top 3 Ad Creative of Epidemic Clothing
Ad Details :
Headline :Disidente
Text :
Basic Info of Top 3 Ad Creative
1st | 2nd | 3rd | |
Duration | 152 | 152 | 152 |
Popularity | 954 | 954 | 954 |
Dimensions | 600 x 600 | 600 x 600 | 600 x 600 |
Creative Type | Image | Image | Image |
Network | |||
Related Ads | 1 | 1 | 1 |
Countries | San Marino,Italy | United Kingdom,United States,Canada,Australia | South Africa |
Language | Italian | English | NA |
Through the above analysis, we can see that the most effective channel for Epidemic Clothing in recent advertising is Facebook, and the main creative type is Image.
In conclusion: The above is a free Epidemic Clothing's competitive intelligence analysis report. To do a good job of advertising, long-term accumulation is required. we need to constantly check the latest trends and competitive intelligence data. With the use of competitive intelligence tools like SocialPeta, Guangdada(Chinese version of SocialPeta), we can improve our ROI, and make competitor‘s fans ours. I hope that this ad creative analysis report will allow you to gain more.
If you want to check the relevant intelligence analysis of other apps similar to Epidemic Clothing, you can click the app name below to view related reports, or you can find more info in ASOTools.