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

1.Fine [ファイン]’s basic information

App Name:Fine [ファイン]

IAP:Yes

Category:ブック

Download Last Month:<5K

Revenue:<5K

Average Rating:-0.05

Number of Reviews:<5K

Facebook popularity:<5K

Versions:4

First Release Date:2015-11-09

This is the basic information about Fine [ファイン] 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 Fine [ファイン]  - AppSimilar

Fine [ファイン] has performed well in ブック apps since 2015-11-09 went live. As can be seen from the data provided by AppSimilar, Fine [ファイン] 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 Fine [ファイン], 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 Fine [ファイン]. Obviously, these competing products can inspire us in many ways.

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

A list of app like Fine [ファイン]

1. PressReader

PressReader's first release date is 2009-10-20. It's category is News. There is a total number of <5K people mentioned or followed it on Facebook.

2. PARTE (パルテ)

PARTE (パルテ)'s first release date is 2018-03-30. It's category is Shopping. There is a total number of <5K people mentioned or followed it on Facebook.

3. fifth(フィフス)

fifth(フィフス)'s first release date is 2014-11-13. It's category is ショッピング. There is a total number of <5K people mentioned or followed it on Facebook.

4. ANAP公式オンラインショップ

ANAP公式オンラインショップ's first release date is 2016-09-07. It's category is ショッピング. There is a total number of <5K people mentioned or followed it on Facebook.

5. PeakVisor

PeakVisor's first release date is 2016-12-21. It's category is Travel. There is a total number of <5K people mentioned or followed it on Facebook.

6. マンガFREEDOM 少年マンガ少女マンガ読み放題

マンガFREEDOM 少年マンガ少女マンガ読み放題's first release date is 2017-05-26. It's category is Books. There is a total number of <5K people mentioned or followed it on Facebook.

7. Sword Maker

Sword Maker's first release date is 2020-03-18. It's category is Games. There is a total number of <5K people mentioned or followed it on Facebook.

8. Awesome Weather YoWindow

Awesome Weather YoWindow's first release date is 2014-02-16. It's category is Weather. There is a total number of <5K people mentioned or followed it on Facebook.

9. Flippy Pancake

Flippy Pancake's first release date is 2019-04-03. It's category is Games. There is a total number of <5K people mentioned or followed it on Facebook.

10. Crab War

Crab War's first release date is 2016-05-26. It's category is 遊戲. There is a total number of <5K people mentioned or followed it on Facebook.

11. Lost Island: Blast Adventure

Lost Island: Blast Adventure's first release date is 2018-06-07. It's category is Games. There is a total number of <5K people mentioned or followed it on Facebook.

12. happn — Dating app

happn — Dating app's first release date is 2012-03-07. It's category is Lifestyle. There is a total number of <5K people mentioned or followed it on Facebook.

13. FLOWER かわいいが届くお花便

FLOWER かわいいが届くお花便's first release date is 2019-02-18. It's category is Lifestyle. There is a total number of <5K people mentioned or followed it on Facebook.

14. AZUL BY MOUSSY公式アプリ

AZUL BY MOUSSY公式アプリ's first release date is 2015-07-23. It's category is ショッピング. There is a total number of <5K people mentioned or followed it on Facebook.

15. 北欧、暮らしの道具店

北欧、暮らしの道具店's first release date is 2019-11-27. It's category is Lifestyle. There is a total number of <5K people mentioned or followed it on Facebook.

These are the 15 most popular apps similar to Fine [ファイン]. 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 Fine [ファイン].

App ranking by Download

Top 3 download apps in last month

1st 2nd 3rd
App Name PressReader PARTE (パルテ) fifth(フィフス)
Download Last Month <5K <5K <5K
Average Rating 4.55 0.5 1.75
Number of Reviews 48.16K <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 PressReader PARTE (パルテ) fifth(フィフス)
Revenue <5K <5K <5K
Download Last Month <5K <5K <5K
Average Rating 4.55 0.5 1.75
Number of Reviews 48.16K <5K <5K

The above is the comprehensive rank of apps like Fine [ファイン]. 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 Fine [ファイン]

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.

Fine [ファイン] has a total number of <5K reviews in the app store or google play. And the average rating of all regions is -0.05.

Among all the apps like Fine [ファイン], the highest download in last month is PressReader, the highest-grossing app is PressReader.

We can compare Fine [ファイン] with the top3 apps in apps like Fine [ファイン]. 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 "Fine [ファイン]"

As you know, Keyword Search is a must for application store optimization. Therefore, we will do a case study on "Fine [ファイン]" 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 Fine [ファイン] :



Conclusion: The above is a free tracking analytics report about app like Fine [ファイン]. 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.