Mobile App Data: Best Mobile App Datasets & Databases

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Eugenio Caterino
Editor & Data Industry Expert

What is Mobile App Data?

Mobile app data is information generated and collected by mobile applications. It includes various types of data such as user interactions, preferences, device information, and app usage patterns. This data is crucial for app developers and marketers as it helps them understand user behavior, improve app performance, personalize experiences, and make data-driven decisions to enhance user satisfaction and engagement.
Examples of mobile app data include user demographics, app usage patterns, in-app purchases, location data, and device information. Mobile app data is used by businesses and developers to gain insights into user behavior, improve app performance, personalize user experiences, and make data-driven decisions. In this page, you’ll find the best data sources for mobile app data, such as Datrade, which provides comprehensive and reliable app data mobile.

Best Mobile App Datasets & APIs

4.9(7)

Mobile App Data, TV App Data, App Data, Google & Apple App store Data - Scrape all Publicly Available Mobile & TV related Data with 100% Accuracy

Available for 61 countries
10M Mobile App data
10 years of historical data
100% Data Delivery On Time
Starts at
$25 / month
Free sample preview
4.8(9)

Redmob: Mobile App data I Global I Real-Time

by Redmob
Available for 40 countries
180B real-time data feeds
0 days of historical data
100% real-time
Starts at
$50,000 / year
Free sample preview
5.0(2)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Usage-based
10% Datarade discount

Start.io | Global Mobile App Graph Data | 2.4B+ MAU / 500K+ Active Mobile Apps / 35B+ SDKs

Available for 248 countries
30B SDK download
1 years of historical data
Available Pricing:
One-off purchase
Yearly License
Free sample preview
5.0(4)
Starts at
$25 / year
Free sample preview
5.0(2)
Starts at
$0.10 / Match
Free sample preview
5.0(3)
Available Pricing:
One-off purchase
Monthly License
Yearly License
Free sample preview
5.0(2)
Pricing available upon request
Available Pricing:
Yearly License
Usage-based
4.9(2)
Available Pricing:
Yearly License
Free sample preview

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Mobile App Data Use Cases

Frequently Asked Questions

What is Mobile App Data?

Mobile app data refers to the information generated by user interactions with mobile applications, including user behavior, device information, location data, and more. This data is collected and analyzed to gain insights into user behavior and improve app performance.

How is Mobile App Data collected?

Mobile app data is typically collected through software development kits (SDKs) embedded within mobile applications. SDKs track user interactions and send this information back to servers for analysis. Other methods of data collection may include user surveys or data purchased from third-party providers.

What is Mobile App Data used for?

Mobile app data is used by businesses to gain insights into user behavior, optimize app performance, drive growth, and improve user engagement. This data can be used for a range of purposes, including personalization, A/B testing, user acquisition, fraud prevention, market research, and revenue optimization.

What’s a quality checklist for Mobile App Data?

A quality checklist for mobile app data should include ensuring that the data is obtained ethically, complies with data privacy regulations, is relevant to the business’s needs, and is of high quality. Additionally, businesses should look for reputable data providers that provide transparent information about their data collection methods and offer customer support.

How is Mobile App Data priced?

Mobile app data is priced based on a variety of factors, including the volume of data purchased, the type of data, and the data provider. Some data providers may charge a one-time fee for a specific data set, while others may charge a recurring subscription fee. It’s important for businesses to carefully evaluate pricing options and choose a data provider that offers high-quality data at a fair price.

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