Top 15 Games like 澎湃新闻——时政新闻资讯|AppSimilar

What is the most difficult job for app operation and app store optimization?

The answer to this question is undoubtedly getting users. The app store is like a battlefield for acquiring users. Know yourself and your competitors, so as not to lose in this battle. So how to gain an advantage in the competition of the application store? Understanding competing products and doing ASO optimization are essential.

Now AppSimilar analyzes the app 澎湃新闻——时政新闻资讯 and app like 澎湃新闻——时政新闻资讯 from multiple aspects. In this report, you can see the performance of the app 澎湃新闻——时政新闻资讯 & app like 澎湃新闻——时政新闻资讯, and get the information of fair app reviews, app ranking, top-grossing apps, etc.

1.澎湃新闻——时政新闻资讯’s basic information

App Name:澎湃新闻——时政新闻资讯

IAP:Yes

Category:新闻

Download Last Month:<5K

Revenue:<5K

Average Rating:4.75

Number of Reviews:157.01K

Facebook popularity:<5K

Versions:37

First Release Date:2014-07-22

This is the basic information about 澎湃新闻——时政新闻资讯 provided by AppSimilar. Of course, the data that AppSimilar can provide is much more than that. So, how can AppSimilar help us?

  • Through multi-dimensional analysis, understand the operation strategy of competing products, especially the set of keywords and user profiles.
  • Help us get the traffic of competitors.
  • Through the "Keyword Search" function, help us know the difficulty and volume of each keyword, and help us choose the appropriate keywords for ASO optimization.
  • By comparing with competing products, we can clearly see our respective advantages and disadvantages, clarify our goals, and constantly optimize our operating strategies.
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2. Mobile app analytics of app like 澎湃新闻——时政新闻资讯  - AppSimilar

澎湃新闻——时政新闻资讯 has performed well in 新闻 apps since 2014-07-22 went live. As can be seen from the data provided by AppSimilar, 澎湃新闻——时政新闻资讯 had <5K downloads last month. It is worth mentioning that its popularity on Facebook has increased, and a total number of <5K people mentioned or followed it on Facebook.

The 15 apps listed below are all similar to 澎湃新闻——时政新闻资讯, they have similar functions, and may even have the same user crowd. Through AppSimilar's mobile app analytics function, we can clearly see the recent performance and detailed data of these apps like 澎湃新闻——时政新闻资讯. Obviously, these competing products can inspire us in many ways.

Without wasting time, let's start with the list!

A list of app like 澎湃新闻——时政新闻资讯

1. 谁是卧底官方单机游戏

谁是卧底官方单机游戏's first release date is 2013-10-12. It's category is 游戏. There is a total number of <5K people mentioned or followed it on Facebook.

2. Uplive-Live it Up

Uplive-Live it Up's first release date is 2017-05-18. It's category is Social Networking. There is a total number of <5K people mentioned or followed it on Facebook.

3. 航班管家-完美行程必备

航班管家-完美行程必备's first release date is 2009-06-28. It's category is 旅游. There is a total number of <5K people mentioned or followed it on Facebook.

4. Soul-跟随灵魂找到你

Soul-跟随灵魂找到你's first release date is 2015-09-14. It's category is Social Networking. There is a total number of <5K people mentioned or followed it on Facebook.

5. Flipboard - Latest Stories

Flipboard - Latest Stories's first release date is 2010-07-21. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.

6. 驴妈妈旅游-特价订酒店旅游景点门票

驴妈妈旅游-特价订酒店旅游景点门票's first release date is 2011-06-20. It's category is 旅游. There is a total number of <5K people mentioned or followed it on Facebook.

7. 搜狗搜索-浏览器看精彩短视频

搜狗搜索-浏览器看精彩短视频's first release date is 2014-07-13. It's category is 工具. There is a total number of <5K people mentioned or followed it on Facebook.

8. 阳光养猪场

阳光养猪场's first release date is 2019-10-29. It's category is Games. There is a total number of <5K people mentioned or followed it on Facebook.

9. WeChat Work

WeChat Work's first release date is 2016-04-18. It's category is Business. There is a total number of <5K people mentioned or followed it on Facebook.

10. 月刊専門料理

月刊専門料理's first release date is 2015-07-23. It's category is Food & Drink. There is a total number of <5K people mentioned or followed it on Facebook.

11. 統一發票兌獎

統一發票兌獎's first release date is 2018-12-19. It's category is 生活風格. There is a total number of <5K people mentioned or followed it on Facebook.

12. 花椒直播-高颜美女帅哥都在玩的App

花椒直播-高颜美女帅哥都在玩的App's first release date is 2015-07-14. It's category is Social Networking. There is a total number of <5K people mentioned or followed it on Facebook.

13. 宝宝树孕育-妈妈的孕育伴侣

宝宝树孕育-妈妈的孕育伴侣's first release date is 2012-05-12. It's category is 健康健美. There is a total number of <5K people mentioned or followed it on Facebook.

14. Fox News: Live Breaking News

Fox News: Live Breaking News's first release date is 2010-04-26. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.

15. 同花顺-炒股、股票

同花顺-炒股、股票's first release date is 2009-04-20. It's category is Finance. There is a total number of <5K people mentioned or followed it on Facebook.

These are the 15 most popular apps similar to 澎湃新闻——时政新闻资讯. So which of these apps have the most downloads,  which apps have the most revenue? Let's take a look at the ranking of these apps like 澎湃新闻——时政新闻资讯.

App ranking by Download

Top 3 download apps in last month

1st 2nd 3rd
App Name 谁是卧底官方单机游戏 Uplive-Live it Up 航班管家-完美行程必备
Download Last Month <5K <5K <5K
Average Rating 4.5 4.3 4.15
Number of Reviews <5K 15.19K 44.8K
Revenue <5K <5K <5K

Top grossing apps

Top 3 grossing apps in last month

estimate apps revenue from in-app purchases and price of apps in last month.

1st 2nd 3rd
App Name 谁是卧底官方单机游戏 Uplive-Live it Up 航班管家-完美行程必备
Revenue <5K <5K <5K
Download Last Month <5K <5K <5K
Average Rating 4.5 4.3 4.15
Number of Reviews <5K 15.19K 44.8K

The above is the comprehensive rank of apps like 澎湃新闻——时政新闻资讯. If you want to know more detailed information, you can search on AppSimilar (appsimilar.com). After collecting an app on the platform, you can see detailed information like this:

top-grossing app

3. Fair app reviews of 澎湃新闻——时政新闻资讯

How to evaluate an app is actually a very subjective thing, some people like it, some people don't. For our publisher, how to find fair reviews of our own apps and competing apps? This is a matter that can be solved by data. Through the data of AppSimilar, we can fully understand the user's reaction to the app.

澎湃新闻——时政新闻资讯 has a total number of 157.01K reviews in the app store or google play. And the average rating of all regions is 4.75.

Among all the apps like 澎湃新闻——时政新闻资讯, the highest download in last month is 谁是卧底官方单机游戏, the highest-grossing app is 谁是卧底官方单机游戏.

We can compare 澎湃新闻——时政新闻资讯 with the top3 apps in apps like 澎湃新闻——时政新闻资讯. App with a high average rating indicates that it is liked by users; Facebook's popularity means that the app is popular on social media. The higher revenue app also means it will have a more benign cycle.

In different stages, the core indicators of the apps are different. In the initial stage of app operation, acquiring users is the core goal, downloads is the core data indicators we should pay attention to. When the product is more mature, and already has a considerable number of users, then how to monetize is the issue we should consider, and accordingly, the revenue has become the core data indicator of our concern.

4.App store keywords research report about "澎湃新闻——时政新闻资讯"

As you know, Keyword Search is a must for application store optimization. Therefore, we will do a case study on "澎湃新闻——时政新闻资讯" to facilitate you to choose the best keyword as the optimization goal.

We can use the keyword data provided by ASOTools, including the difficulty of the keyword, search volume, etc., to judge whether the keyword is suitable for us.

More keywords research case similar to 澎湃新闻——时政新闻资讯 :



Conclusion: The above is a free tracking analytics report about app like 澎湃新闻——时政新闻资讯. In the process of ASO optimization, we must constantly study and research, understand the latest information about competitive products and industry, and constantly optimize our own operation strategy. Through the use of tools, such as AppSimilar, we can grasp all data faster and more accurately, providing a basis for us to set an ASO optimization strategy. I hope that this analysis report will allow you to gain more.