Top 15 Games like 央视新闻|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 央视新闻 and app like 央视新闻 from multiple aspects. In this report, you can see the performance of the app 央视新闻 & app like 央视新闻, and get the information of fair app reviews, app ranking, top-grossing apps, etc.

1.央视新闻’s basic information

App Name:央视新闻

IAP:No

Category:News

Download Last Month:<5K

Revenue:<5K

Average Rating:3.4

Number of Reviews:10.89K

Facebook popularity:<5K

Versions:31

First Release Date:2011-09-30

This is the basic information about 央视新闻 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.
AppSimilar
AppSimilar - The most intuitive app data monitoring product

2. Mobile app analytics of app like 央视新闻  - AppSimilar

央视新闻 has performed well in News apps since 2011-09-30 went live. As can be seen from the data provided by AppSimilar, 央视新闻 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 央视新闻, 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 央视新闻. Obviously, these competing products can inspire us in many ways.

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

A list of app like 央视新闻

1. 小米商城-智能产品好到不用挑

小米商城-智能产品好到不用挑's first release date is 2015-08-18. It's category is 购物. There is a total number of <5K people mentioned or followed it on Facebook.

2. 南方Plus(探索版)-广东头条新闻资讯阅读平台

南方Plus(探索版)-广东头条新闻资讯阅读平台's first release date is 2018-11-06. It's category is 新闻. There is a total number of <5K people mentioned or followed it on Facebook.

3. 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.

4. 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.

5. PicPlayPost Movie Video Editor

PicPlayPost Movie Video Editor's first release date is 2012-02-23. It's category is Photo & Video. There is a total number of <5K people mentioned or followed it on Facebook.

6. 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.

7. Cooking Madness-Kitchen Frenzy

Cooking Madness-Kitchen Frenzy's first release date is 2017-12-13. It's category is Games. There is a total number of <5K people mentioned or followed it on Facebook.

8. 启信宝 - 全国企业信用信息工商查询

启信宝 - 全国企业信用信息工商查询's first release date is 2015-09-11. It's category is Business. There is a total number of <5K people mentioned or followed it on Facebook.

9. 萌推-精品推荐,好货不贵

萌推-精品推荐,好货不贵's first release date is 2018-03-11. It's category is 购物. There is a total number of <5K people mentioned or followed it on Facebook.

10. 新京报

新京报's first release date is 2018-10-30. It's category is 新闻. There is a total number of <5K people mentioned or followed it on Facebook.

11. 《梦幻西游》口袋版

《梦幻西游》口袋版's first release date is 2014-03-16. It's category is Games. There is a total number of <5K people mentioned or followed it on Facebook.

12. 央视频—有品质的视频社交媒体

央视频—有品质的视频社交媒体's first release date is 2019-11-19. It's category is Entertainment. There is a total number of <5K people mentioned or followed it on Facebook.

13. 凤凰视频-PhoenixTV热点新闻娱乐资讯

凤凰视频-PhoenixTV热点新闻娱乐资讯's first release date is 2010-06-13. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.

14. 动静-贵州广播电视台官方新闻客户端

动静-贵州广播电视台官方新闻客户端's first release date is 2017-04-04. It's category is Tin tức. There is a total number of <5K people mentioned or followed it on Facebook.

15. 全能扫描王-OCR Scanner

全能扫描王-OCR Scanner's first release date is 2018-06-14. It's category is Productivity. There is a total number of <5K people mentioned or followed it on Facebook.

These are the 15 most popular apps similar to 央视新闻. 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 央视新闻.

App ranking by Download

Top 3 download apps in last month

1st 2nd 3rd
App Name 小米商城-智能产品好到不用挑 南方Plus(探索版)-广东头条新闻资讯阅读平台 Soul-跟随灵魂找到你
Download Last Month <5K <5K <5K
Average Rating 3.85 1.5 3.8
Number of Reviews 17.58K <5K 421.21K
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 小米商城-智能产品好到不用挑 南方Plus(探索版)-广东头条新闻资讯阅读平台 Soul-跟随灵魂找到你
Revenue <5K <5K <5K
Download Last Month <5K <5K <5K
Average Rating 3.85 1.5 3.8
Number of Reviews 17.58K <5K 421.21K

The above is the comprehensive rank of apps like 央视新闻. 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 央视新闻

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.

央视新闻 has a total number of 10.89K reviews in the app store or google play. And the average rating of all regions is 3.4.

Among all the apps like 央视新闻, the highest download in last month is 小米商城-智能产品好到不用挑, the highest-grossing app is 小米商城-智能产品好到不用挑.

We can compare 央视新闻 with the top3 apps in apps like 央视新闻. 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 "央视新闻"

As you know, Keyword Search is a must for application store optimization. Therefore, we will do a case study on "央视新闻" 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 央视新闻 :



Conclusion: The above is a free tracking analytics report about app like 央视新闻. 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.