App Usage Data: Best App Usage Datasets & Databases

What is App Usage Data?

App data refers to information related to or created by mobile apps. It can be divided into several different categories, such as app cache data, app content data, app platform data, app configuration data, system-level app data, etc.

With the growing amount of apps today, the data type has gained its place on our platform.

What are important statistics about Mobile App Usage in 2020?

1.85 million apps are available for download on the iOS app store in 2020. According to historical mobile app usage data, that is a far cry from the 500 apps that featured on the store at its inception in 2008. Android users, however, have a broader market, with over 2.56 million apps available on the Google Play store.

Also, in 2020, app users worldwide would make over 592 million app downloads daily, with social media apps topping the list.
Considering that the smartphone users are expected to reach 3.5 billion in 2020, it is estimated, using mobile app usage data analysis, there are more connections between devices in 2020: 7.94 billion, which is much more than the total population of the world.

How much revenue do apps make?

Revenue generation differs across the board. The top 200 apps on multiple app stores report daily earnings of $82,500 in 2020. Across the top 800 apps, that figure drops to an average of $3,500 per day. Mobile app usage data analysis shows that this difference results from consumer preferences indicated in commercial mobile app usage datasets.

Top game apps, for instance, earn around $22,000 per day, while others, such as entertainment apps, earn roughly about $3,090 per day in 2020.
Since there is expected growth in apps used across the board, these values are expected to change in due course.

What are the top statistics about Android apps?

Google’s Playstore features over 2.85 million apps accessible by Android users in 2020. Compared to the final quarter of 2018, that figure shows that app selection on the platform by 7.9 percent.

Summarily, there is an estimated 4 percent of paid apps on Google’s Playstore, representing around 129,392 apps, according to mobile app usage data analysis.

The microblogging platform, WhatsApp, was downloaded over 199 million in 2019 alone. The top-rated android app of all time is Netflix, which is followed by Minecraft, YouTube, and Fortnite. The average time users spend on the Google Play store is 46 minutes, according to commercial mobile app usage datasets.

What are the top statistics about Apple apps?

1.74 million apps are available in the Apple app store in the last quarter of 2020, with Zoom standing as most downloaded at 14 million downloads in 2020.

There are about 1.38 million app publishers on the iOS Apple app store, with 85.8 percent of them publishing non-gaming apps and the rest publishing games. Mobile app usage data analysis indicates that the ratio of free apps to paid ones on the Apple store is about 92.5 percent.

About 1,046 apple store apps are published daily, which amounts to 33 654 apps per month in 2020. Based on ratings, iOS apps are 43 percent rated, with the remaining 57 percent not yet rated by users.

Where is Mobile App Usage data stored?

Mobile apps need data to work correctly. But data can only be efficiently sourced if the device data’s proper location is reachable by the apps at any moment. All these are made possible with “APIs.” An API means an Application Programming Interface. They are tools with which apps access data on the device. As exchanges between various devices occur, mobile app usage data analysis indicates that apps use APIs to interface correctly with such processes. However, APIs can be customized to record data from parent devices automatically or to do so when the user chooses. In all, apps cannot effectively work without an API.

What are Mobile App Usage trends for 2021?

Several in-app innovations have been characterized in 2020. Using mobile app usage data, the following trends are forecasted to take center stage in 2021.

• Mobile commerce through apps is expected to take root, as it has become prevalent in 2020, more than in past years.
• Usage of on-demand apps like Uber is expected to skyrocket in 2021.
• More blockchain Apps will be in use, as users value their security and stability.
• There will be more predictive analytics from app usage. Such knowledge can enable developers to make quick tweaks in apps that reflect consumer preferences.

Which are the fastest-growing app verticals?

Some of the fastest-growing app verticals or mobile app industries are gaming, utilities, and entertainment.

• Gaming apps make up over a quarter of apps on Google’s Playstore and Apple store belonging to this category.
• Entertainment apps have also blazed a trail, with top social media apps such as Tiktok and Instagram achieving the most downloaded status in recent years.
  • Utility and tool apps hold sway in primarily default capacity on devices. Utility apps like notes and reminders are used by millions everyday.

Who uses App Usage Data, and for what use cases?

App data is collected and used by businesses owning mobile applications, app developers, and app marketers for insights into the performance of their app. This data may include measuring the amount of time spent on a particular feature, tracking screen swipes, or anything. App usage data is highly valuable as it helps app owners identify potential issues and necessary improvements within their app.

Using app usage data, businesses can:

• Discover potential markets for growth opportunities based on app market trends.
• Acquire competitive market knowledge by tracking downloads, usage, revenue, and engagement metrics.
• Identify emerging competitors and potential threats and take action proactively.

Using app usage data, your marketing team can understand user patterns better and create messages that lead to higher conversion rates. App developers working on the app can understand technical flaws within the app and focus on improving the user experience.

Businesses can see which features of their apps are most effective and can lay focus on those areas. App usage data provides a deep understanding of custom attitude and other demographics, which are very helpful in providing personalized user experience.

What are typical App Usage Data attributes?

As a business owner or marketer, you want to know how an app is performing in the industry. What’s working, and what should be improved? Collecting the following mobile app usage metrics will help you measure the impact of your app on your audience. These include:

User engagement attributes
User engagement refers to a user’s interaction, usage pattern, and/or response to the app. This can be assessed using the following attributes:

• Average app usage time per user
• App event tracking: Which buttons or icons are clicked
• Demographics of app users
• Engagement rate of users with apps
• Daily session per daily active users
• Number of active app users (daily, weekly, monthly, etc.)
• App retention rate: Percentage of app users who come back to your platform
• App churn: The percentage of users who stop using your app

Customer satisfaction attributes
These attributes define the level of satisfaction people have using an app. These include the following attributes:

• App rating
• In-app feedback
• Support response times: How long it takes to respond to customer requests and feedback.
• Net promoter score: The likelihood of users to refer your app to others.

User acquisition attributes
This category refers to information about the acquisition of new users for the app, achieved by promotional offers and ad campaigns. These attributes are:

• App store ranking
• App store reviews
• App abandonment
• Lifetime value: Total revenue you make from a user before the user stops using the app.
• The average revenue per user

App performance attributes
The attributes in this category define how the app performs in the market. This can be determined by measuring the following attributes:

• App crashes
• App speed
• App latency
• Network errors
• App load per period

How App Usage Data is typically collected?

There are several ways to collect app usage data. Some old school methods include sending emails to your app users, attaching a survey form asking for their experience with the app, or approaching the users directly via phone or in the app itself.

There are also dedicated pieces of software which can be implemented in your app. They record the user’s behavior and report the information to a location of your choosing. You can integrate these tools with your apps to add convenience to your workflow.

In addition to that, large scale statistics can be acquired from app stores which record the macro level information like global download and usage statistics.

How to assess the quality of App Usage Data?

Data quality is the ability of a data set to serve the intended purpose. Poor quality data is not effective in providing you with the results you perhaps we’re looking for.

Quality assurance involves assessing the collected data against the rules defined by your use case. Assess your data against multiple attributes, timeliness of data, and consistency of attributes across various data sets, etc. Here’s the step-by-step process to assess the quality of app usage data:

Step 1: Understand the sources and collection
When buying app usage data, make sure you are familiar with the sources of all data you obtain. The source should be legally compliant, ethical, and qualitative to avoid potential issues in the future.

Step 2: Ask for reference customers
Check if your data provider can provide you with reference customers so that you can cross check the quality of data you receive. Reach out to the customers and discuss their experiences about their respective use cases.

Step 3: Apply data testing (sample set)
Ask the provider for a sample data set and test it in the desired environment. Analyze the outcome and see if this is what you expect.

Make sure you develop a quality roadmap for app usage data with input from your support team, the business community, app developers, and data scientists to ensure a solid project sequence.

How is App Usage Data typically priced?

There are three pricing models for app usage data:

• Subscription / licensing: Usually gives you access to a real time API, which offers regularly updated datasets.
• Pay per larger batch ( one time payment): You make a one-time payment for each larger batch of datasets.
• Custom quotes for special needs: If you have varying needs, you can explain this to the app usage data provider. Your pricing will vary depending on your needs.

The #1 issue when buying app usage data?

The number one issue with app usage data acquisition, like with most external data types, is the extremely difficult comparison of data quality among various data vendors.

The market lacks standardization and with a growing variety of data providers entering the competition, choosing the right one becomes crucial.

What to ask App Usage Data providers?

Being a buyer, you should consider asking the following questions from your data provider when buying app usage data:

• How is the data collected?
• What is the coverage, and how granular can a single data point be?
• Can your data set be integrated with my current business technologies?
• What does the process look like?
• Do you offer a data sample set for quality testing?

Where can I buy App Usage Data?

Data providers and vendors listed on Datarade sell App Usage Data products and samples. Popular App Usage Data products and datasets available on our platform are App Usage Data APAC - Installed Apps & App Session (1st Party Data w/52M records) by AI Keyboard, Complementics Mobile Application Usage Data by Complementics, and Market Vectors Monthly App and Web Usage in Indonesia aggregated by Market Vectors.

How can I get App Usage Data?

You can get App Usage Data via a range of delivery methods - the right one for you depends on your use case. For example, historical App Usage Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time App Usage Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to App Usage Data?

App Usage Data is similar to App Store Data, App Install Data, App Market Data, App Revenue Data, and App Industry Data. These data categories are commonly used for Advertising and Audience Targeting.

What are the most common use cases for App Usage Data?

The top use cases for App Usage Data are Advertising, Audience Targeting, and Behavior-based Audiences.