- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
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 Datarade, which provides comprehensive and reliable app data mobile.
Best Mobile App Databases & Datasets
Here is our curated selection of top Mobile App Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Mobile App Data, TV App Data, App Data, Google & Apple App store Data - Scrape all Publicly Available Mobile & TV related Data with 100% Accuracy
Grepsr| Mobile Native App Scraping | App store, Google Play store | iOS, Android | Global Coverage
Factori USA Consumer Graph Data | socio-demographic, location, interest and intent data | E-Commere |Mobile Apps | Online Services
Phone Number Data | APAC | 100M+ B2B Mobile Phone Numbers | 95%+ Accuracy
Mobile Location Data | Global Mobile Locations | 330M Devices | CCPA Compliant
BIGDBM US Consumer Mobile Device (MAIDs) Data
US Consumer Demographics | Homeowners & Renters | Email & Mobile Phone | Bulk & Custom | 255M People
Irys | Mobile Location Data Insights | Global | Real-Time & Historical
Mobility Data & Insights | Mobile Location Data | 18.8M+ Locations in the US
USA Mobile Broadband Data | Mobile IP Data | 1st Party Data | 100% users are Opt in
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Top Mobile App Data Providers & Companies
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Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
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APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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Medmonsters
CoverageUSAUK+67Go Beyond Account-Level Data And Get Real, Active, Valuable Leads We go beyond account-level Intent Information to give contact-level Intent Information — thousands of the safest, cleanest buyer intent signals.Quality95coverage90ROI42 times -
Datandard
CoverageUSAUK+247Data should be easy to purchase and use. With Datandard you can get access to high quality datasets that are delivered in bulk in formats that are easy to ingest.AffordablePriced at 25% vs competitorsTimelyReal-time feeds availableGlobalData sourced globally
Popular Use Cases for Mobile App Data
Mobile App Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Mobile App Data.
Main Attributes of Mobile App Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 122 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 80 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 76 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 55 datasets | |
| String | The Internet Protocol version 4 (IPv4) address of an endpoint. | View 50 datasets | |
| String | The name of a country. | View 46 datasets |
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.
