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Airship Analytics

Apps using Airship Analytics

Download a list of all 11K Airship Analytics customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
200M CLARO *****@clarodrive.com - http://www.clarodrive.com/
130M PlayStation Mobile Inc. *****@uk.playstation.com
facebook twitter instagram
http://www.driveclub.com/
114M Magazine Luiza *****@magazineluiza.com.br - http://www.luizalabs.com/
107M HP Inc. *****@hp.com
linkedin facebook twitter instagram
http://h10025.www1.hp.com/ewfrf/wc/product?product=6973719
100M Telcel, Radiomovil Dipsa S.A. de C.V. *****@speedymovil.com
facebook twitter instagram
http://www.mitelcel.com/
100M Pandora *****@pandora.com
linkedin
http://www.pandora.com/
93M JUMIA *****@jumia.com
facebook twitter
https://www.pizza.ug/
87M Jam City, Inc. *****@support.jamcity.com
linkedin facebook twitter instagram
https://www.jamcity.com/
86M Globo Comunicação e Participações S.A. *****@globo.com - http://g1.globo.com/
70M Nike, Inc. *****@nike.com
facebook twitter instagram
https://www.nike.com/nikestudios

Full list contains 11K apps using Airship Analytics in the U.S, of which 9K are currently active and 4K have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is Airship Analytics?

Airship Analytics is a powerful and comprehensive mobile app analytics platform designed to help businesses gain deep insights into user behavior, engagement, and performance metrics. This cutting-edge SDK (Software Development Kit) provides developers and marketers with a robust set of tools to track, analyze, and optimize their mobile applications across various platforms, including iOS, Android, and web. By integrating Airship Analytics into your app, you can unlock a wealth of data-driven insights that will enable you to make informed decisions and drive user engagement to new heights. One of the key features of Airship Analytics is its real-time data collection and processing capabilities, allowing you to monitor user actions and app performance as they happen. This instant feedback loop empowers teams to quickly identify and address issues, seize opportunities, and stay ahead of the competition in the fast-paced mobile app market. The SDK offers a wide range of pre-built event tracking options, covering everything from basic user interactions to complex in-app purchases and custom events tailored to your specific business needs. Airship Analytics also excels in user segmentation and cohort analysis, enabling you to dive deep into user behavior patterns and identify key trends across different user groups. This granular level of insight allows you to create highly targeted marketing campaigns, personalize user experiences, and optimize your app's features based on actual usage data. The platform's advanced machine learning algorithms can even predict user churn and lifetime value, helping you proactively engage at-risk users and focus on your most valuable customers. Another standout feature of Airship Analytics is its seamless integration with other Airship products, such as push notifications, in-app messaging, and email marketing tools. This tight integration allows for a holistic approach to user engagement, where analytics insights can directly inform and trigger personalized messaging campaigns. By leveraging this powerful combination of data and communication tools, businesses can create highly effective, data-driven marketing strategies that resonate with their audience and drive measurable results. The Airship Analytics SDK is designed with performance and privacy in mind, ensuring that it has minimal impact on your app's speed and battery usage while maintaining strict compliance with data protection regulations such as GDPR and CCPA. The platform also offers robust data visualization tools, including customizable dashboards and reports, making it easy for team members across your organization to access and understand key metrics at a glance.

Airship Analytics Key Features

  • Airship Analytics is a powerful mobile app analytics platform designed to help businesses gain deep insights into user behavior and app performance.
  • The SDK offers real-time data collection and analysis, allowing developers and marketers to make data-driven decisions quickly.
  • It provides comprehensive user segmentation capabilities, enabling businesses to create targeted marketing campaigns based on user attributes, behaviors, and preferences.
  • The platform includes advanced event tracking features, allowing developers to monitor specific in-app actions and user interactions with granular detail.
  • Airship Analytics offers customizable dashboards and reports, making it easy for teams to visualize and interpret complex data sets.
  • The SDK supports cross-platform analytics, allowing businesses to track user behavior across multiple devices and operating systems seamlessly.
  • It includes robust A/B testing functionality, enabling developers to experiment with different app features and user interfaces to optimize user experience and engagement.
  • Airship Analytics provides advanced retention analysis tools, helping businesses understand user churn rates and implement strategies to improve long-term user retention.
  • The platform offers integration with popular marketing automation tools, allowing businesses to create personalized messaging campaigns based on user data and behavior.
  • It includes powerful predictive analytics capabilities, leveraging machine learning algorithms to forecast user behavior and identify potential high-value customers.
  • Airship Analytics provides detailed funnel analysis tools, enabling businesses to identify and optimize critical conversion paths within their mobile apps.
  • The SDK offers sophisticated cohort analysis features, allowing teams to track and compare the behavior of different user groups over time.
  • It includes advanced attribution modeling capabilities, helping businesses understand the impact of various marketing channels and campaigns on app installs and user acquisition.
  • Airship Analytics provides robust data privacy and security features, ensuring compliance with global data protection regulations such as GDPR and CCPA.
  • The platform offers seamless integration with other Airship products, including push notifications and in-app messaging, creating a comprehensive mobile engagement ecosystem.
  • It includes advanced anomaly detection algorithms, automatically alerting teams to unexpected changes in user behavior or app performance metrics.
  • Airship Analytics provides detailed session analysis tools, allowing businesses to understand how users interact with their apps during individual sessions and across multiple sessions over time.
  • The SDK offers real-time user flow visualization, enabling developers to identify bottlenecks and optimize the user journey within their apps.
  • It includes advanced revenue tracking and analysis features, helping businesses understand in-app purchase patterns and optimize monetization strategies.
  • Airship Analytics provides comprehensive crash reporting and error tracking capabilities, allowing developers to quickly identify and resolve issues affecting app stability and performance.

Airship Analytics Use Cases

  • Airship Analytics can be utilized by e-commerce platforms to track user behavior and purchasing patterns, allowing businesses to optimize their product recommendations and personalize the shopping experience for customers.
  • Mobile app developers can leverage Airship Analytics to gain insights into user engagement, session duration, and feature usage, enabling them to make data-driven decisions for app improvements and updates.
  • Marketing teams can use Airship Analytics to measure the effectiveness of their multi-channel campaigns, tracking user interactions across various touchpoints such as push notifications, in-app messages, and email campaigns.
  • Customer support teams can benefit from Airship Analytics by analyzing user feedback and support ticket data to identify common issues and improve overall customer satisfaction.
  • Product managers can utilize Airship Analytics to conduct A/B testing on new features or UI changes, measuring user adoption and engagement to inform product development decisions.
  • Airship Analytics can be employed by media companies to track content consumption patterns, helping them optimize their content strategy and improve user retention.
  • Retail businesses can use Airship Analytics to analyze foot traffic patterns in physical stores, correlating this data with digital interactions to create a seamless omnichannel experience.
  • Gaming companies can leverage Airship Analytics to monitor player behavior, identify churn risks, and implement targeted retention strategies to keep users engaged.
  • Financial institutions can utilize Airship Analytics to track user interactions with their mobile banking apps, identifying areas for improvement and optimizing the user experience.
  • Travel and hospitality businesses can employ Airship Analytics to analyze booking patterns, customer preferences, and loyalty program engagement to enhance their services and increase customer satisfaction.
  • Healthcare providers can use Airship Analytics to track patient engagement with telemedicine platforms, ensuring optimal user experience and identifying areas for improvement in virtual care delivery.
  • Educational institutions can leverage Airship Analytics to monitor student engagement with online learning platforms, identifying areas where additional support or resources may be needed to improve learning outcomes.
  • Event organizers can utilize Airship Analytics to track attendee engagement during virtual or hybrid events, measuring participation levels and gathering feedback to improve future event experiences.
  • Fitness and wellness apps can employ Airship Analytics to monitor user activity patterns, goal achievement rates, and engagement with various features to optimize their offerings and improve user retention.
  • Subscription-based services can use Airship Analytics to track user engagement throughout the customer lifecycle, identifying key touchpoints that lead to subscription renewals or cancellations.

Alternatives to Airship Analytics

  • Firebase Analytics is a popular alternative to Airship Analytics, offering a comprehensive suite of tools for mobile app analytics, user engagement, and performance monitoring. It provides real-time data insights, audience segmentation, and integration with other Google services, making it a powerful choice for developers and marketers alike. Firebase Analytics also offers easy-to-use SDKs for both iOS and Android platforms, enabling seamless implementation across multiple app environments.
  • Mixpanel is another robust alternative that focuses on advanced user analytics and behavioral tracking. It offers detailed event tracking, funnel analysis, and user segmentation capabilities, allowing developers to gain deep insights into user interactions within their apps. Mixpanel's strength lies in its ability to provide granular data on individual user journeys, making it ideal for companies looking to optimize user experiences and drive conversions.
  • Amplitude is a product analytics platform that competes with Airship Analytics by offering powerful user behavior tracking and analysis tools. It excels in providing actionable insights through its intuitive interface and advanced machine learning capabilities. Amplitude's cohort analysis and user path tracking features help businesses understand user retention and identify key factors influencing user engagement and conversion.
  • Flurry Analytics, now part of Yahoo, is a well-established alternative that provides comprehensive mobile analytics services. It offers real-time tracking of user activities, custom event logging, and demographic insights. Flurry's strength lies in its ease of use and its ability to provide both high-level overviews and detailed drill-downs of app performance and user behavior.
  • Localytics is a mobile engagement platform that combines analytics with marketing automation features. It offers robust user segmentation, push notification capabilities, and in-app messaging tools, making it a strong contender for businesses looking for an all-in-one solution. Localytics' predictive analytics and A/B testing features help developers optimize their apps and marketing campaigns for better user engagement.
  • Appsee is a unique alternative that focuses on visual analytics and user experience insights. It offers features like user session recordings, touch heatmaps, and crash analytics, providing developers with a visual understanding of how users interact with their apps. Appsee's ability to capture and analyze user interactions in real-time makes it particularly useful for identifying usability issues and optimizing app interfaces.
  • Countly is an open-source mobile analytics platform that offers both cloud-hosted and self-hosted options. It provides real-time analytics, crash reporting, and push notifications, making it a flexible alternative for developers who prefer more control over their analytics infrastructure. Countly's plugin-based architecture allows for easy customization and extension of its core functionality.
  • Adjust is a mobile measurement and fraud prevention platform that offers advanced attribution and analytics capabilities. It focuses on providing accurate data for mobile app marketing campaigns, helping businesses track user acquisition, retention, and lifetime value. Adjust's fraud prevention features make it particularly attractive for companies dealing with high volumes of paid user acquisition.
  • AppsFlyer is a mobile attribution and marketing analytics platform that competes with Airship Analytics in the realm of user acquisition and engagement tracking. It offers advanced attribution models, deep linking capabilities, and fraud protection features. AppsFlyer's strength lies in its ability to provide a holistic view of marketing performance across multiple channels and campaigns.
  • Leanplum is a mobile engagement platform that combines analytics with marketing automation and A/B testing capabilities. It offers real-time user segmentation, personalized messaging, and predictive analytics to help businesses optimize their mobile marketing strategies. Leanplum's focus on creating personalized user experiences makes it a strong alternative for companies looking to drive user engagement and retention.

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