⚡️⚡️ Machine Learning From Scratch with Python 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 ⚡️⚡️ Machine Learning From Scratch with Python's ad analysis from multiple aspects and helps you see the competitive intelligence of top grossing apps ⚡️⚡️ Machine Learning From Scratch with Python.
Now, I'll tell you how to gain a competitive advantage by SocialPeta.
1. Basic Information of ⚡️⚡️ Machine Learning From Scratch with Python
App Name : ⚡️⚡️ Machine Learning From Scratch with Python
Logo：
OS : Android
Network : Audience Network,Instagram,Messenger
Developer : Lope.ai
Publisher : Instagram
Total creative ads during the time period : 7
Duration : 168
Popularity : 6,399
Check ASO Keywords of ⚡️⚡️ Machine Learning From Scratch with Python
2. ⚡️⚡️ Machine Learning From Scratch with Python’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 ⚡️⚡️ Machine Learning From Scratch with Python 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 ⚡️⚡️ Machine Learning From Scratch with Python in the recent period. As of 2021-03-16, among the ⚡️⚡️ Machine Learning From Scratch with Python‘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 2021-03-16, ⚡️⚡️ Machine Learning From Scratch with Python's the proportion of networks impressions are placed like this:
Facebook's proportion is 26.84%,
Audience Network's proportion is 24.39%,
Instagram's proportion is 24.39%,
Messenger's proportion is 24.39%,
's proportion is .
In the date of 2021-03-16, ⚡️⚡️ Machine Learning From Scratch with Python‘s network with the most ads is Facebook and its proportion is 25.0%.
3. Top 3 Ad Creative Analysis of ⚡️⚡️ Machine Learning From Scratch with Python
This is the detailed information of the top three ad creatives with the best performance among all ad creatives of ⚡️⚡️ Machine Learning From Scratch with Python. We can see some advertising trends.
Top 1 Ad Creative of ⚡️⚡️ Machine Learning From Scratch with Python
Ad Details ：
Headline ：⚡️⚡️ Machine Learning From Scratch with Python
Text ：Machine Learning is much more fun when you understand what's happening under the hood!
Download Now For Free :
https://play.google.com/store/apps/details?id=com.lope.ml_from_scratch_ebook&utm_source=lope_top_fb
Top 2 Ad Creative of ⚡️⚡️ Machine Learning From Scratch with Python
Ad Details ：
Headline ：⚡️⚡️ Machine Learning From Scratch with Python
Text ：Machine Learning is much more fun when you understand what's happening under the hood!
Download Now For Free :
https://play.google.com/store/apps/details?id=com.lope.ml_from_scratch_ebook&utm_source=lope_top_fb
Top 3 Ad Creative of ⚡️⚡️ Machine Learning From Scratch with Python
Ad Details ：
Headline ：⚡️⚡️ Machine Learning From Scratch with Python
Text ：Machine Learning is much more fun when you understand what's happening under the hood!
Download Now For Free :
https://play.google.com/store/apps/details?id=com.lope.ml_from_scratch_ebook&utm_source=lope_top_fb
Basic Info of Top 3 Ad Creative
| 1st | 2nd | 3rd | |
| Duration | 167 | 167 | 167 |
| Popularity | 999 | 998 | 998 |
| Dimensions | 940 x 788 | 940 x 788 | 940 x 788 |
| Creative Type | Image | Image | Image |
| Network | Messenger | Audience Network | |
| Related Ads | 16 | 15 | 15 |
| Countries | India | India | India,United States,Canada,Australia,United Kingdom |
| Language | English | English | English |
Through the above analysis, we can see that the most effective channel for ⚡️⚡️ Machine Learning From Scratch with Python in recent advertising is Facebook, and the main creative type is Image.
In conclusion: The above is a free ⚡️⚡️ Machine Learning From Scratch with Python'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 ⚡️⚡️ Machine Learning From Scratch with Python, you can click the app name below to view related reports, or you can find more info in ASOTools.