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Tencent Mobile Analytics

Apps using Tencent Mobile Analytics

Download a list of all 2K Tencent Mobile Analytics customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
200K Miniwan Tech *****@mini1.cn
facebook twitter
https://www.mini1.cn/
164K Shanghai Kuanyu Digital Technology Co., Ltd *****@bilibili.com - https://link.bilibili.com/p/eden/download
120K BOOHEE TECHNOLOGY *****@boohee.com
linkedin
http://www.boohee.com/
86K TomaToDo Software Co., Ltd. *****@tomatotime.cn - https://fqtodo.cn/
80K Hangzhou Feizhu Technology Co., Ltd *****@qupeiyin.com - http://www.qupeiyin.com/
67K 优艺互动 *****@163.com - http://www.jiaonizuocai.com/
60K Tencent Fintech - - -
58K Tencent Technology (Beijing) Company Limited *****@tencent.com - http://finance.qq.com/
47K 深圳市赢众通金融信息服务股份有限公司 *****@xiaoying.com - https://wallet.xiaoying.com/
40K China Southern Airlines Company Limited - - https://m.csair.com/touch/com.csair.mbp.index/index.html

Full list contains 2K apps using Tencent Mobile Analytics in the U.S, of which 1K are currently active and 247 have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is Tencent Mobile Analytics?

Tencent Mobile Analytics is a powerful and comprehensive mobile app analytics solution provided by Tencent, one of China's leading technology companies. This robust SDK offers developers and businesses a suite of tools to track, analyze, and optimize their mobile applications across various platforms, including iOS, Android, and Unity. With its advanced features and user-friendly interface, Tencent Mobile Analytics empowers app creators to make data-driven decisions and enhance user engagement. One of the key strengths of Tencent Mobile Analytics is its ability to provide real-time insights into user behavior, app performance, and key metrics. Developers can easily integrate the SDK into their applications and start collecting valuable data immediately. The platform offers a wide range of pre-built reports and customizable dashboards, allowing users to visualize and interpret complex data sets with ease. The SDK supports both basic and advanced analytics functions, including user acquisition tracking, retention analysis, conversion funnel optimization, and in-app event tracking. These features enable developers to understand how users interact with their apps, identify bottlenecks in the user journey, and optimize the overall user experience. Additionally, Tencent Mobile Analytics provides cohort analysis, helping businesses segment their user base and tailor marketing strategies accordingly. Another notable aspect of Tencent Mobile Analytics is its focus on performance monitoring. The SDK offers crash reporting and error tracking capabilities, allowing developers to quickly identify and resolve issues that may impact user satisfaction. It also provides detailed information on app load times, network performance, and device-specific metrics, helping to ensure smooth operation across a wide range of devices and network conditions. Security and privacy are paramount in today's digital landscape, and Tencent Mobile Analytics addresses these concerns with robust data protection measures. The SDK employs encryption protocols and complies with international data privacy regulations, giving developers and users peace of mind when it comes to handling sensitive information. For businesses targeting the Chinese market, Tencent Mobile Analytics offers unparalleled insights into user behavior and preferences within this unique ecosystem. The platform integrates seamlessly with other Tencent services, such as WeChat and QQ, providing a holistic view of user engagement across multiple channels. The SDK also supports A/B testing functionality, allowing developers to experiment with different app versions and features to optimize user experience and conversion rates. This data-driven approach to app development can significantly improve key performance indicators and drive business growth. Tencent Mobile Analytics provides comprehensive documentation and support resources, making it easy for developers of all skill levels to implement and utilize the SDK effectively. Regular updates and new feature releases ensure that the platform remains at the forefront of mobile analytics technology, adapting to the ever-changing mobile app landscape.

Tencent Mobile Analytics Key Features

  • Tencent Mobile Analytics is a comprehensive mobile app analytics platform provided by Tencent, one of China's largest tech companies.
  • It offers real-time data collection and analysis for mobile applications, helping developers and businesses understand user behavior and app performance.
  • The SDK supports multiple platforms including iOS, Android, and Unity, making it versatile for various mobile app development environments.
  • It provides detailed user acquisition analysis, helping developers track the effectiveness of different marketing channels and campaigns.
  • The platform offers user retention analysis, allowing developers to understand how well their app keeps users engaged over time.
  • Tencent Mobile Analytics includes crash reporting features, enabling developers to quickly identify and resolve issues affecting app stability.
  • It offers custom event tracking, allowing developers to monitor specific in-app actions and user behaviors relevant to their business goals.
  • The SDK includes user segmentation capabilities, enabling targeted analysis based on user characteristics or behaviors.
  • It provides funnel analysis tools to help developers optimize user conversion paths within their apps.
  • Tencent Mobile Analytics offers heat map visualization for user interface interactions, helping developers understand how users navigate their app.
  • The platform includes A/B testing functionality, allowing developers to experiment with different app versions or features.
  • It provides revenue analysis tools, helping developers track in-app purchases and monetization performance.
  • The SDK offers integration with other Tencent services, such as Tencent Cloud, for enhanced functionality and data management.
  • It includes data export capabilities, allowing developers to use the collected data with other business intelligence tools.
  • Tencent Mobile Analytics provides real-time monitoring of key performance indicators (KPIs) through customizable dashboards.
  • The platform offers push notification analytics, helping developers measure the effectiveness of their messaging campaigns.
  • It includes geolocation analysis features, allowing developers to understand user behavior based on geographical data.
  • The SDK provides session analysis tools, offering insights into how long users engage with the app and what actions they take during each session.
  • Tencent Mobile Analytics offers cohort analysis capabilities, enabling developers to compare different groups of users over time.
  • It includes data privacy and security features to help developers comply with relevant regulations and protect user information.

Tencent Mobile Analytics Use Cases

  • Tencent Mobile Analytics can be used by mobile game developers to track player behavior, analyze in-game purchases, and optimize game performance. By implementing this SDK, developers can gain insights into user engagement, retention rates, and monetization strategies, allowing them to make data-driven decisions to improve their games and increase revenue.
  • E-commerce applications can leverage Tencent Mobile Analytics to understand customer shopping patterns, track conversion rates, and analyze user flows within the app. This information can be used to optimize the user interface, improve product recommendations, and identify areas where customers may be experiencing friction in the purchasing process.
  • Social media platforms can utilize Tencent Mobile Analytics to monitor user interactions, track content engagement, and analyze user demographics. This data can help platform owners understand which features are most popular, identify trends in user behavior, and tailor content recommendations to individual users, ultimately improving the overall user experience.
  • News and media apps can implement Tencent Mobile Analytics to track article views, time spent on content, and user preferences. This information can be used to personalize content recommendations, optimize article placement, and improve overall user engagement with the app.
  • Educational apps can benefit from Tencent Mobile Analytics by tracking student progress, identifying areas where learners struggle, and analyzing engagement with different types of content. This data can be used to improve course materials, personalize learning paths, and optimize the overall educational experience for students.
  • Fitness and health apps can use Tencent Mobile Analytics to track user activity, monitor workout patterns, and analyze progress towards health goals. This information can be used to provide personalized recommendations, improve user motivation through targeted notifications, and identify areas where users may need additional support or guidance.
  • Travel and hospitality apps can leverage Tencent Mobile Analytics to understand booking patterns, analyze user preferences, and track engagement with different features of the app. This data can be used to optimize the booking process, personalize travel recommendations, and improve overall customer satisfaction.
  • Financial services apps can implement Tencent Mobile Analytics to monitor user transactions, analyze spending patterns, and track engagement with different financial products. This information can be used to improve fraud detection, personalize financial advice, and optimize the user interface for better customer experience.
  • Music streaming apps can use Tencent Mobile Analytics to track listening habits, analyze playlist creation and sharing, and monitor user engagement with different features of the app. This data can be used to improve music recommendations, optimize playlist algorithms, and identify trends in user preferences to inform content acquisition strategies.
  • Productivity apps can leverage Tencent Mobile Analytics to track user workflows, analyze feature usage, and monitor app performance. This information can be used to identify areas for improvement, prioritize new feature development, and optimize the user interface for increased productivity and user satisfaction.

Alternatives to Tencent Mobile Analytics

  • Google Analytics for Mobile Apps is a powerful alternative to Tencent Mobile Analytics, offering comprehensive tracking and reporting features for both Android and iOS applications. It provides real-time data on user behavior, engagement, and app performance, allowing developers to make data-driven decisions to improve their apps. Google Analytics for Mobile Apps integrates seamlessly with other Google services and offers advanced segmentation and funnel analysis capabilities.
  • Firebase Analytics is another robust option for mobile app analytics, providing a suite of tools for tracking user engagement, retention, and conversion rates. As part of the Firebase platform, it offers deep integration with other Firebase services such as Crashlytics and Cloud Messaging. Firebase Analytics provides detailed insights into user demographics, behaviors, and app usage patterns, enabling developers to optimize their apps for better performance and user experience.
  • Mixpanel is a popular alternative that focuses on user-centric analytics and event tracking. It offers advanced funnel analysis, cohort analysis, and user segmentation features, allowing developers to gain deep insights into user behavior and engagement. Mixpanel's strength lies in its ability to track individual user journeys and provide actionable insights for improving user retention and conversion rates.
  • Flurry Analytics, now part of Yahoo, is a well-established mobile analytics platform that offers a comprehensive set of features for tracking app performance and user behavior. It provides real-time insights, crash reporting, and audience segmentation capabilities. Flurry Analytics is known for its ease of use and quick implementation, making it a popular choice among developers looking for a straightforward analytics solution.
  • Amplitude is a product analytics platform that focuses on helping teams build better products through data-driven insights. It offers advanced user segmentation, funnel analysis, and retention tracking features, allowing developers to understand how users interact with their apps and identify areas for improvement. Amplitude's strength lies in its ability to provide actionable insights and recommendations based on user behavior data.
  • AppSee is a unique mobile analytics platform that offers visual app analytics, including user recordings and touch heatmaps. This allows developers to see exactly how users interact with their apps, identify usability issues, and optimize the user experience. AppSee also provides crash reporting, conversion funnels, and user flow analysis, making it a comprehensive solution for mobile app analytics.
  • Localytics is an analytics and marketing platform that combines app analytics with powerful engagement tools. It offers features such as push notifications, in-app messaging, and A/B testing, allowing developers to not only track user behavior but also act on those insights to improve engagement and retention. Localytics provides real-time analytics, user segmentation, and cohort analysis, making it a versatile alternative to Tencent Mobile Analytics.
  • Countly is an open-source, self-hosted mobile analytics platform that offers both cloud and on-premise solutions. It provides real-time analytics, crash reporting, and push notifications, along with features like user profiles and cohort analysis. Countly's open-source nature allows for customization and integration with other tools, making it a flexible option for developers who want more control over their analytics infrastructure.
  • Adjust is a mobile measurement and fraud prevention platform that offers comprehensive analytics and attribution services. It provides insights into user acquisition, retention, and lifetime value, helping developers optimize their marketing efforts and improve app performance. Adjust's fraud prevention features set it apart, offering protection against click injection, click spamming, and other forms of mobile ad fraud.
  • Appsflyer is a mobile attribution and marketing analytics platform that focuses on helping developers understand the effectiveness of their marketing campaigns. It offers features such as deep linking, fraud protection, and audience segmentation, along with comprehensive analytics on user acquisition and retention. Appsflyer's strength lies in its ability to provide a holistic view of the user journey, from initial ad impression to in-app behavior and beyond.

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