Top 15 Games like 大象新闻-河南广播电视台|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 大象新闻-河南广播电视台 and app like 大象新闻-河南广播电视台 from multiple aspects. In this report, you can see the performance of the app 大象新闻-河南广播电视台 & app like 大象新闻-河南广播电视台, and get the information of fair app reviews, app ranking, top-grossing apps, etc.
1.大象新闻-河南广播电视台’s basic information
App Name:大象新闻-河南广播电视台
IAP:No
Category:News
Download Last Month:<5K
Revenue:<5K
Average Rating:0.25
Number of Reviews:7.08K
Facebook popularity:<5K
Versions:42
First Release Date:2019-08-20
This is the basic information about 大象新闻-河南广播电视台 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.
2. Mobile app analytics of app like 大象新闻-河南广播电视台 - AppSimilar
大象新闻-河南广播电视台 has performed well in News apps since 2019-08-20 went live. As can be seen from the data provided by AppSimilar, 大象新闻-河南广播电视台 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 大象新闻-河南广播电视台, 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 大象新闻-河南广播电视台. Obviously, these competing products can inspire us in many ways.
Without wasting time, let's start with the list!
A list of app like 大象新闻-河南广播电视台
1. 天目新闻
天目新闻's first release date is 2019-10-02. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.
2. 河南农信个人银行
河南农信个人银行's first release date is 2018-07-30. It's category is Finance. There is a total number of <5K people mentioned or followed it on Facebook.
3. 华人资讯
华人资讯's first release date is 2016-01-25. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.
4. 新花城-你的掌上一公里
新花城-你的掌上一公里's first release date is 2019-10-08. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.
5. 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.
6. 她说-发现超契合新朋友
她说-发现超契合新朋友's first release date is 2019-11-05. It's category is Social Networking. There is a total number of <5K people mentioned or followed it on Facebook.
7. 封面新闻-亿万年轻人的生活方式
封面新闻-亿万年轻人的生活方式's first release date is 2016-03-14. It's category is 新闻. There is a total number of <5K people mentioned or followed it on Facebook.
8. Miga Town: My World
Miga Town: My World's first release date is 2019-11-28. It's category is Education. There is a total number of <5K people mentioned or followed it on Facebook.
9. 微聊客–置业顾问获客神器
微聊客–置业顾问获客神器's first release date is 2016-03-16. It's category is 商务. There is a total number of <5K people mentioned or followed it on Facebook.
10. Miga Town : Game & TV Shows
Miga Town : Game & TV Shows's first release date is 2019-07-31. It's category is Games. There is a total number of <5K people mentioned or followed it on Facebook.
11. BTV北京时间-北京广播电视台官方APP
BTV北京时间-北京广播电视台官方APP's first release date is 2016-04-11. It's category is 新闻. There is a total number of <5K people mentioned or followed it on Facebook.
12. 易班
易班's first release date is 2014-09-30. It's category is 社交. There is a total number of <5K people mentioned or followed it on Facebook.
13. 触电新闻 - 热点新闻头条资讯
触电新闻 - 热点新闻头条资讯's first release date is 2016-10-13. It's category is 新闻. There is a total number of <5K people mentioned or followed it on Facebook.
14. 参考消息
参考消息's first release date is 2014-05-06. It's category is 新闻. There is a total number of <5K people mentioned or followed it on Facebook.
15. UC浏览器-头条新闻抢先看
UC浏览器-头条新闻抢先看's first release date is 2013-01-05. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.
These are the 15 most popular apps similar to 大象新闻-河南广播电视台. 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 大象新闻-河南广播电视台.
App ranking by Download
Top 3 download apps in last month
1st | 2nd | 3rd | |
App Name | 天目新闻 | 河南农信个人银行 | 华人资讯 |
Download Last Month | <5K | <5K | <5K |
Average Rating | 0.35 | 3 | 1.6 |
Number of Reviews | <5K | <5K | <5K |
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 | 天目新闻 | 河南农信个人银行 | 华人资讯 |
Revenue | <5K | <5K | <5K |
Download Last Month | <5K | <5K | <5K |
Average Rating | 0.35 | 3 | 1.6 |
Number of Reviews | <5K | <5K | <5K |
The above is the comprehensive rank of apps like 大象新闻-河南广播电视台. 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:
3. Fair app reviews of 大象新闻-河南广播电视台
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.
大象新闻-河南广播电视台 has a total number of 7.08K reviews in the app store or google play. And the average rating of all regions is 0.25.
Among all the apps like 大象新闻-河南广播电视台, the highest download in last month is 天目新闻, the highest-grossing app is 天目新闻.
We can compare 大象新闻-河南广播电视台 with the top3 apps in apps like 大象新闻-河南广播电视台. 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 "大象新闻-河南广播电视台"
As you know, Keyword Search is a must for application store optimization. Therefore, we will do a case study on "大象新闻-河南广播电视台" to facilitate you to choose the best keyword as the optimization goal.
More keywords research case similar to 大象新闻-河南广播电视台 :
(1)"天目新闻 "App Store Keywords Research Case Analytic | ASOTools
(2)"河南农信个人银行 "App Store Keywords Research Case Analytic | ASOTools
(3)"华人资讯 "App Store Keywords Research Case Analytic | ASOTools
(4)新花城-你的掌上一公里 "App Store Keywords Research Case Analytic | ASOTools
(6)"她说-发现超契合新朋友 "App Store Keywords Research Case Analytic | ASOTools
Conclusion: The above is a free tracking analytics report about app like 大象新闻-河南广播电视台. 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.