Loving Message-SMS/MMS messaging 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 Loving Message-SMS/MMS messaging's ad analysis from multiple aspects and helps you see the competitive intelligence of top grossing apps Loving Message-SMS/MMS messaging.
Now, I'll tell you how to gain a competitive advantage by SocialPeta.
1. Basic Information of Loving Message-SMS/MMS messaging
App Name : Loving Message-SMS/MMS messaging
Logo：
OS : Android
Network : Google Ads(Admob)
Developer : James Stein
Publisher : AMOLED Wallpapers | 4K | Full HD | Backgrounds,Image to PDF : JPG to PDF & PNG to PDF Converter
Total creative ads during the time period : 4
Duration : 1
Popularity : 204
Check ASO Keywords of Loving Message-SMS/MMS messaging
2. Loving Message-SMS/MMS messaging’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 Loving Message-SMS/MMS messaging 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 Loving Message-SMS/MMS messaging in the recent period. As of 2020-04-30, among the Loving Message-SMS/MMS messaging‘s ad creative, the Html category's proportion is 50.0%, Video category's proportion is 0.0%, Playable Ads category's proportion is 0.0%, Image category's proportion is 50.0%, 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 2020-04-30, Loving Message-SMS/MMS messaging's the proportion of networks impressions are placed like this:
Google Ads(Admob)'s proportion is 100.0%,
's proportion is ,
's proportion is ,
's proportion is ,
's proportion is .
In the date of 2020-04-30, Loving Message-SMS/MMS messaging‘s network with the most ads is Google Ads(Admob) and its proportion is 100.0%.
3. Top 3 Ad Creative Analysis of Loving Message-SMS/MMS messaging
This is the detailed information of the top three ad creatives with the best performance among all ad creatives of Loving Message-SMS/MMS messaging. We can see some advertising trends.
Top 1 Ad Creative of Loving Message-SMS/MMS messaging
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Top 2 Ad Creative of Loving Message-SMS/MMS messaging
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Top 3 Ad Creative of Loving Message-SMS/MMS messaging
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Basic Info of Top 3 Ad Creative
| 1st | 2nd | 3rd | |
| Duration | 0 | 0 | 0 |
| Popularity | |||
| Dimensions | |||
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| Network | |||
| Related Ads | 0 | 0 | 0 |
| Countries | |||
| Language |
Through the above analysis, we can see that the most effective channel for Loving Message-SMS/MMS messaging in recent advertising is , and the main creative type is .
In conclusion: The above is a free Loving Message-SMS/MMS messaging'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 Loving Message-SMS/MMS messaging, you can click the app name below to view related reports, or you can find more info in ASOTools.