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

1.PandaReader’s basic information

App Name:PandaReader

IAP:Yes

Category:Books

Download Last Month:<5K

Revenue:<5K

Average Rating:3.15

Number of Reviews:6.71K

Facebook popularity:<5K

Versions:37

First Release Date:2010-05-25

This is the basic information about PandaReader 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 PandaReader  - AppSimilar

PandaReader has performed well in Books apps since 2010-05-25 went live. As can be seen from the data provided by AppSimilar, PandaReader 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 PandaReader, 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 PandaReader. Obviously, these competing products can inspire us in many ways.

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

A list of app like PandaReader

1. Airbnb

Airbnb's first release date is 2010-11-10. It's category is Travel. 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. 神龟加速器-海外华人稳定加速器

神龟加速器-海外华人稳定加速器's first release date is 2019-09-09. It's category is Utilities. There is a total number of <5K people mentioned or followed it on Facebook.

4. 洪恩识字 - 儿童幼升小认字启蒙教育

洪恩识字 - 儿童幼升小认字启蒙教育's first release date is 2018-01-11. It's category is Education. There is a total number of <5K people mentioned or followed it on Facebook.

5. 专业录音-录音机转文字和语音备忘录音笔

专业录音-录音机转文字和语音备忘录音笔's first release date is 2019-01-20. It's category is 工具. There is a total number of <5K people mentioned or followed it on Facebook.

6. 爱奇艺泡泡-最新明星动态抢先看

爱奇艺泡泡-最新明星动态抢先看's first release date is 2018-06-17. It's category is 娱乐. There is a total number of <5K people mentioned or followed it on Facebook.

7. Find Difference Games

Find Difference Games's first release date is 2018-02-20. It's category is Games. There is a total number of <5K people mentioned or followed it on Facebook.

8. EPUB Reader - Neat

EPUB Reader - Neat's first release date is 2019-08-22. It's category is Books. There is a total number of <5K people mentioned or followed it on Facebook.

9. 懂拍帝 卡点视频:创意卡点视频制作

懂拍帝 卡点视频:创意卡点视频制作's first release date is 2019-12-05. It's category is Photo & Video. There is a total number of <5K people mentioned or followed it on Facebook.

10. MC插件盒子 for 我的世界(Minecraft)

MC插件盒子 for 我的世界(Minecraft)'s first release date is 2016-09-29. It's category is 娱乐. There is a total number of <5K people mentioned or followed it on Facebook.

11. A simple radio- FM & Radios

A simple radio- FM & Radios's first release date is 2014-06-22. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.

12. 猫耳FM-听耽美小说bl原创

猫耳FM-听耽美小说bl原创's first release date is 2016-09-11. It's category is Music. There is a total number of <5K people mentioned or followed it on Facebook.

13. 水墨小说--百万电子书阅读神器

水墨小说--百万电子书阅读神器's first release date is 2019-09-01. It's category is Books. There is a total number of <5K people mentioned or followed it on Facebook.

14. Bookmate. Listen & read books

Bookmate. Listen & read books's first release date is 2010-08-18. It's category is Books. There is a total number of <5K people mentioned or followed it on Facebook.

15. 骨今中外-骨科医生的专业学习交流社区

骨今中外-骨科医生的专业学习交流社区's first release date is 2015-06-26. It's category is 医疗. There is a total number of <5K people mentioned or followed it on Facebook.

These are the 15 most popular apps similar to PandaReader. 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 PandaReader.

App ranking by Download

Top 3 download apps in last month

1st 2nd 3rd
App Name Airbnb Uplive-Live it Up 神龟加速器-海外华人稳定加速器
Download Last Month <5K <5K <5K
Average Rating 4.8 4.3 2.4
Number of Reviews 1.41M 15.19K 22.34K
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 Airbnb Uplive-Live it Up 神龟加速器-海外华人稳定加速器
Revenue <5K <5K <5K
Download Last Month <5K <5K <5K
Average Rating 4.8 4.3 2.4
Number of Reviews 1.41M 15.19K 22.34K

The above is the comprehensive rank of apps like PandaReader. 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 PandaReader

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.

PandaReader has a total number of 6.71K reviews in the app store or google play. And the average rating of all regions is 3.15.

Among all the apps like PandaReader, the highest download in last month is Airbnb, the highest-grossing app is Airbnb.

We can compare PandaReader with the top3 apps in apps like PandaReader. 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 "PandaReader"

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



Conclusion: The above is a free tracking analytics report about app like PandaReader. 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.