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Mopapp
London, United Kingdom
A
11-50 Employees
2010
Key takeaway
Mopapp offers powerful app analytics that enhance the market penetration and performance of mobile applications. Their platform provides actionable insights through a comprehensive dashboard that tracks sales, revenue, and customer sentiment, enabling users to make data-driven decisions.
Reference
Core business
Powerful app analytics at your fingertips
Track and analyze your app sales. Supports iTunes, Android Market, RIM App World, Windows Phone 7 Marketplace....
AppsFlyer
San Francisco, United States
B
1001-5000 Employees
2011
Key takeaway
AppsFlyer Cloud is designed for app marketing analytics, providing tools that simplify complex data and offer insights into campaign performance. Their platform focuses on accurate measurement and engagement while preserving customer privacy, making it essential for data-driven professionals looking to optimize their user acquisition efforts.
Reference
Product
App marketing analytics - turn insights into actions | AppsFlyer
Learn how AppsFlyer marketing analytics tools simplify complex data and give you campaign performance insights for better, faster decisions.
adbrix
Seoul, South Korea
A
251-500 Employees
-
Key takeaway
The company offers advanced performance tracking and user analytics features that are ideal for app analytics, enabling data-driven decisions for marketing actions.
Reference
Product
Build your own data platform in 10 minutes
Experience the most advanced performance tracking and user analytics features.
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Analytics Partners
Jacksonville, United States
B
11-50 Employees
2002
Key takeaway
The company offers advanced analytics capabilities through its ACO product, which automates data integration and provides customizable analytics to monitor and improve ACO measures. Additionally, their HxLogic All Payer Claims Database (APCD) features a pre-built data model and analytics that enhance project success while saving time and resources.
Reference
Product
database - Analytics Partners
Appsedia
Seattle, United States
B
1-10 Employees
-
Key takeaway
Appsedia, developed by ProCogia, offers a robust platform for app analytics, enabling users to track customer performance and gain actionable insights into feature requests and pain points. Their AI Text Analysis Engine enhances the understanding of social data, making it easier for teams to make informed, data-driven decisions.
Reference
Service
Service - Appsedia
Flurry Analytics
San Francisco, United States
B
10001+ Employees
2005
Key takeaway
Flurry has established itself as a leading mobile app analytics platform since 2008, offering valuable insights that help optimize game design and improve user experience. With features like Flurry Explorer and real-time data, it enables developers to measure retention and session data effectively, making it a trusted resource for unlocking app growth.
Reference
Core business
Flurry | Mobile App Analytics Platform for Android & iOS
mobileSTATS Ltd
United Kingdom
A
1-10 Employees
-
Key takeaway
mobileSTATS is dedicated to providing cutting-edge online analytics, including their comprehensive performance tracking product, mobileSTATS BIGSHOT. This solution can be branded and resold, allowing businesses to leverage advanced app analytics to meet the demands of emerging technologies.
Reference
Core business
Mobile Stats
Pioneers in Online Analytics
App&More
Warsaw, Poland
B
11-50 Employees
-
Key takeaway
The company offers comprehensive app analytics services, ensuring effective management of all analytical elements in your application. They provide training courses on key technologies like Firebase and Google Analytics, which can significantly enhance your app's development and marketing efforts.
Reference
Core business
Comprehensive marketing of mobile applications - AppMore
Dolphin Analytics
London, United Kingdom
A
1-10 Employees
-
Key takeaway
Dolphin Analytics offers strategic digital analytics expertise, enhancing your marketing and product analytics efforts. This allows you to concentrate on your business while they manage the analytics for improved ROI.
Reference
Product
Dolphin Analytics
Plug & Play Digital Analytics
Webtrends
Portland, United States
B
251-500 Employees
1993
Key takeaway
Webtrends, a pioneer in the web analytics industry, offers Webtrends Analytics for SharePoint, which provides robust analytics to measure content usage, engagement, and team collaboration. This solution is particularly beneficial for organizations looking to enhance their understanding of user interactions within SharePoint.
Reference
Product
Analytics for Web Apps — Webtrends
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After you analyze your data, you will need to create a real-time dashboard that will help you stay up to date on your operations. With a visualize tool that allow you to talk with the data you can rapidly understand issues to fix them, but you will also find insights that will allow you to accelerate anything successful.
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After you analyze your data, you will need to create a real-time dashboard that will help you stay up to date on your operations. With a visualize tool that allow you to talk with the data you can rapidly understand issues to fix them, but you will also find insights that will allow you to accelerate anything successful.
App analytics refers to the process of collecting and analyzing data related to mobile applications. This practice enables developers and marketers to understand user behavior, app performance, and overall engagement. By leveraging app analytics tools, businesses can track key metrics such as downloads, user retention, session duration, and in-app interactions. These insights help inform decision-making, optimize user experience, and ultimately drive growth. With the right app analytics provider, companies can gain a comprehensive view of how their applications are performing in the market, allowing for data-driven strategies to enhance their offerings.
App analytics significantly enhances app performance by providing insights into user behavior and engagement. By tracking metrics such as user retention, session length, and in-app actions, developers can identify areas needing improvement. This data-driven approach allows for targeted optimizations, ensuring a more intuitive user experience. Furthermore, app analytics aids in understanding user demographics and preferences. This information can guide feature development and marketing strategies, aligning them more closely with user needs. As a result, apps can evolve based on real user feedback, leading to increased satisfaction and ultimately, better performance.
1. User Engagement Tracking
This feature allows businesses to monitor how users interact with their app. Understanding user behaviors, such as session duration and screen views, helps in optimizing the user experience.
2. Performance Monitoring
App analytics tools typically include performance metrics that assess app speed and reliability. This ensures that any issues affecting user experience can be identified and resolved quickly.
3. Acquisition Insights
These insights help determine how users are discovering the app, whether through organic search, social media, or paid ads. It informs marketing strategies to enhance user acquisition.
4. Retention Analysis
Retention analysis focuses on how well the app retains users over time. By understanding churn rates and user loyalty, businesses can implement strategies to increase long-term engagement.
5. Revenue Tracking
This feature tracks in-app purchases and ad revenue, providing a clear picture of the app's financial performance. It helps businesses make informed decisions about monetization strategies.
App Analytics plays a crucial role in enhancing user retention by providing insights into user behavior and engagement patterns. By analyzing data such as session duration, frequency of app usage, and user interactions, developers can identify trends and potential pain points within the app. This information allows for targeted improvements, such as optimizing features that users enjoy or addressing issues that may lead to churn. Additionally, App Analytics enables personalized experiences by segmenting users based on their behavior. Developers can create tailored notifications, offers, or content that resonate with specific user groups, fostering a deeper connection and encouraging users to return. Ultimately, leveraging these analytics effectively drives higher retention rates and enhances overall user satisfaction.
1. User Engagement
App analytics commonly track user engagement metrics, including session length, frequency of app usage, and user retention rates. These metrics help developers understand how often users interact with the app and how long they spend in it.
2. Conversion Rates
Tracking conversion rates is crucial for measuring the effectiveness of specific actions within the app, such as purchases, sign-ups, or feature activations. This metric allows businesses to analyze the performance of their app in achieving desired user actions.
3. User Demographics
User demographics provide insights into the characteristics of the app's audience, such as age, gender, and location. This information is essential for tailoring marketing strategies and enhancing user experiences.
4. Crash Reports
Monitoring crash reports helps identify issues that lead to app failures. By tracking the frequency and causes of crashes, developers can prioritize bug fixes and improve overall app stability.
5. User Acquisition
This metric examines how users discover and download the app, measuring the effectiveness of marketing campaigns and channels. Understanding user acquisition sources can guide future marketing efforts.
Some interesting numbers and facts about your company results for App Analytics
| Country with most fitting companies | Germany |
| Amount of fitting manufacturers | 4484 |
| Amount of suitable service providers | 4176 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1993 |
| Youngest suiting company | 2011 |
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Some interesting questions that has been asked about the results you have just received for App Analytics
What are related technologies to App Analytics?
Based on our calculations related technologies to App Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on App Analytics?
The most represented industries which are working in App Analytics are IT, Software and Services, Marketing Services, Other, Consulting, Finance and Insurance
How does ensun find these App Analytics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
