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Taplytics

Apps using Taplytics

Download a list of all 327 Taplytics customers with contacts.

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App Installs Publisher Publisher Email Publisher Social Publisher Website
19M The CW Network *****@cwtv.com - https://support.cwtv.com/
9M TUPOE LTD *****@glorify-app.com
linkedin
https://glorify-app.com/
11M Zappos.com *****@zappos.com
facebook twitter instagram
http://www.zappos.com/zappos-apps
100M Lookout Mobile Security *****@lookout.com
linkedin facebook twitter instagram
https://www.lookout.com/
41M AT&T Services, Inc. *****@list.att.com
linkedin facebook twitter instagram
http://att.com/getuversemobile
30M NortonMobile *****@nortonlifelock.com
linkedin facebook twitter instagram
http://norton.com/nms_support
29M Grubhub *****@grubhub.com
linkedin
http://www.grubhub.com/
19M FOX News Network, LLC *****@foxnews.com
linkedin facebook twitter instagram
http://www.foxbusiness.com/
9M Forza Football *****@forzafootball.com
facebook twitter instagram
https://forzafootball.com/
6M Royal Bank of Canada *****@rbc.com
linkedin facebook twitter instagram
http://www.rbcroyalbank.com/commercial/rbcexpressmobile/

Full list contains 327 apps using Taplytics in the U.S, of which 204 are currently active and 33 have been updated over the past year, with publisher contacts included.

List updated on 21th August 2024

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Overview: What is Taplytics?

Taplytics is a powerful, all-in-one experimentation and feature management platform designed to help product teams optimize their digital experiences across mobile, web, and OTT applications. This comprehensive SDK empowers developers and marketers to create, deploy, and analyze A/B tests, feature flags, and personalized experiences without the need for constant app updates. By leveraging Taplytics, companies can make data-driven decisions, improve user engagement, and accelerate their product development cycles. One of the key features of Taplytics is its robust A/B testing capabilities, allowing teams to experiment with different variations of their product to determine which performs best. The platform supports various types of experiments, including visual changes, copy modifications, and even complex functionality tests. With its user-friendly visual editor, even non-technical team members can create and launch experiments quickly and efficiently. Taplytics also offers advanced feature flagging functionality, enabling developers to control the rollout of new features gradually. This approach minimizes risk by allowing teams to test features with a small subset of users before full deployment. Feature flags can be toggled on and off in real-time, providing flexibility in managing feature releases and rollbacks. The SDK's personalization engine is another standout feature, allowing companies to deliver tailored experiences to their users based on behavioral data, demographics, and other custom attributes. This level of personalization can significantly improve user engagement, retention, and overall satisfaction with the product. Taplytics integrates seamlessly with popular analytics platforms, making it easy for teams to gather and analyze data from their experiments and feature releases. The platform provides detailed reporting and insights, helping teams make informed decisions about their product development strategies. Security and privacy are top priorities for Taplytics, with the SDK offering enterprise-grade security features such as end-to-end encryption, role-based access controls, and compliance with major data protection regulations like GDPR and CCPA. The Taplytics SDK supports a wide range of platforms and frameworks, including iOS, Android, React Native, Unity, and web applications. This cross-platform compatibility ensures that product teams can maintain a consistent experimentation and feature management strategy across all their digital properties. For developers, Taplytics offers comprehensive documentation, SDKs, and APIs, making it easy to integrate the platform into existing workflows and development processes. The SDK is designed to be lightweight and performant, minimizing any potential impact on app performance or user experience. Taplytics also provides a suite of collaborative tools, enabling product teams to work together more effectively. Features such as experiment planning, approval workflows, and shared dashboards facilitate better communication and alignment across different departments.

Taplytics Key Features

  • Taplytics is a mobile A/B testing and personalization platform that allows developers and marketers to optimize their mobile applications and websites.
  • It offers real-time visual editing capabilities, enabling users to make changes to their app's interface without requiring code modifications or app store updates.
  • The platform provides advanced segmentation tools, allowing users to target specific audience groups based on various criteria such as demographics, behavior, and device characteristics.
  • Taplytics supports feature flagging, which enables developers to control the rollout of new features and conduct gradual releases to mitigate risks associated with major updates.
  • The SDK includes advanced analytics and reporting features, providing detailed insights into user behavior, engagement metrics, and the performance of different variations in A/B tests.
  • It offers cross-platform support, allowing developers to implement Taplytics across iOS, Android, and web applications, ensuring a consistent optimization strategy across all channels.
  • The platform includes push notification capabilities, enabling marketers to send personalized and targeted messages to users based on their behavior and preferences.
  • Taplytics provides seamless integration with popular analytics and marketing tools, allowing users to combine data from multiple sources for more comprehensive insights.
  • The SDK supports code-based experiments, enabling developers to test and optimize backend logic and server-side components in addition to user interface elements.
  • It offers a user-friendly dashboard that provides a centralized view of all ongoing experiments, making it easy to monitor and manage multiple optimization efforts simultaneously.
  • Taplytics includes robust security features, ensuring that sensitive user data is protected and compliance with privacy regulations is maintained.
  • The platform supports multivariate testing, allowing users to test multiple variables simultaneously and identify the most effective combinations for optimal user experience.
  • It offers dynamic variables and remote config capabilities, enabling developers to update app content and behavior without requiring a new app release.
  • Taplytics provides a REST API, allowing developers to integrate the platform's functionality into their own custom tools and workflows.
  • The SDK includes support for deep linking, enabling marketers to create targeted campaigns that direct users to specific in-app content or features.
  • It offers advanced experiment scheduling capabilities, allowing users to set start and end dates for tests and automate the winner selection process.
  • Taplytics provides real-time experiment results, enabling users to make data-driven decisions quickly and iterate on their optimization strategies.
  • The platform includes support for server-side testing, allowing developers to optimize backend processes and APIs in addition to client-side experiences.
  • It offers advanced targeting options, including location-based targeting, allowing marketers to deliver personalized experiences based on users' geographical location.
  • Taplytics provides a collaborative environment, enabling team members to work together on experiment design, implementation, and analysis within the platform.

Taplytics Use Cases

  • Taplytics is a powerful SDK and technology that can be used for A/B testing and personalization in mobile and web applications. One common use case is implementing feature flags, allowing developers to gradually roll out new features to a subset of users before a full release. This helps in gathering valuable feedback and identifying potential issues before exposing the feature to the entire user base.
  • Another use case for Taplytics is optimizing user onboarding experiences. By creating multiple variations of onboarding flows, developers can test different approaches and determine which one results in higher user engagement and retention. This data-driven approach helps in crafting the most effective onboarding experience for new users.
  • Taplytics can also be utilized for dynamic pricing experiments in e-commerce applications. By segmenting users based on various criteria such as location, device type, or past purchase behavior, businesses can test different pricing strategies and determine the optimal price points for different user segments. This can lead to increased conversions and revenue optimization.
  • Personalization is another key use case for Taplytics. By leveraging user data and behavior patterns, developers can create tailored experiences for different user segments. This might include personalized content recommendations, customized UI elements, or targeted push notifications based on individual user preferences and interactions.
  • Mobile app developers can use Taplytics for optimizing in-app purchase flows. By testing different layouts, copy, and pricing strategies for in-app purchases, developers can identify the most effective approach to increase conversion rates and maximize revenue from their mobile applications.
  • Taplytics can be employed for multivariate testing of UI elements in both mobile and web applications. This allows designers and developers to test multiple variations of colors, layouts, button placements, and other visual elements simultaneously. By analyzing user interactions with these variations, teams can make data-driven decisions to improve the overall user experience and interface design.
  • Another use case for Taplytics is optimizing push notification strategies. By experimenting with different message content, timing, and frequency of push notifications, app developers can determine the most effective approach to re-engage users without being intrusive. This can lead to improved user retention and increased app usage.
  • Taplytics can be used for conducting user surveys and gathering feedback within applications. By implementing in-app surveys and feedback forms, developers can collect valuable insights directly from users. This data can then be used to inform future product decisions and prioritize feature development based on user needs and preferences.
  • E-commerce businesses can leverage Taplytics for optimizing product recommendation algorithms. By testing different recommendation strategies and analyzing user interactions, companies can improve the relevance and effectiveness of their product suggestions, potentially leading to increased cross-selling and upselling opportunities.
  • Taplytics can be utilized for optimizing app store listings and marketing materials. By creating multiple variations of app store screenshots, descriptions, and promotional content, developers can test which elements resonate best with potential users and drive higher download rates. This data-driven approach to app store optimization can lead to improved user acquisition and growth.

Alternatives to Taplytics

  • Optimizely is a popular A/B testing and experimentation platform that offers similar functionality to Taplytics. It provides a comprehensive suite of tools for web and mobile app optimization, including feature flags, personalization, and multi-page experiments. Optimizely's platform allows for seamless integration with various analytics tools and supports multiple programming languages, making it a versatile choice for developers and marketers alike.
  • Amplitude is another alternative that focuses on product analytics and user behavior insights. While not primarily an A/B testing tool like Taplytics, Amplitude offers robust experimentation features alongside its core analytics capabilities. It provides deep insights into user journeys, retention, and engagement, allowing teams to make data-driven decisions about product development and user experience optimization.
  • LaunchDarkly is a feature management platform that offers similar functionality to Taplytics' feature flagging capabilities. It allows teams to roll out new features gradually, perform A/B tests, and manage feature lifecycles across multiple environments. LaunchDarkly's strength lies in its ability to separate code deployments from feature releases, enabling teams to practice continuous delivery and reduce risk in product updates.
  • Firebase Remote Config, part of Google's Firebase platform, is another alternative that provides feature flagging and A/B testing capabilities. It allows developers to change the behavior and appearance of their apps without requiring users to download app updates. Firebase Remote Config integrates seamlessly with other Firebase services, making it an attractive option for teams already using the Firebase ecosystem.
  • Split is a feature delivery platform that offers experimentation and feature flagging capabilities similar to Taplytics. It provides a robust set of tools for managing feature releases, conducting A/B tests, and gathering insights on user behavior. Split's platform is designed to support continuous delivery and help teams make data-driven decisions about product development.
  • VWO (Visual Website Optimizer) is another alternative that focuses on conversion rate optimization and A/B testing. While primarily known for its web experimentation tools, VWO also offers mobile app testing capabilities. It provides a user-friendly interface for creating and managing experiments, along with advanced targeting and segmentation options.
  • Apptimize is a mobile-focused A/B testing and feature flagging platform that offers similar functionality to Taplytics. It provides tools for running experiments, gradual feature rollouts, and personalization across iOS and Android apps. Apptimize's platform is designed to be developer-friendly, with SDKs for multiple programming languages and integrations with popular analytics tools.
  • Flagship by AB Tasty is an experimentation and feature management platform that offers capabilities similar to Taplytics. It provides tools for A/B testing, feature flagging, and personalization across web and mobile applications. Flagship's strength lies in its ability to support complex experimentation scenarios and its focus on providing actionable insights from test results.
  • Kameleoon is another alternative that offers A/B testing, personalization, and feature flagging capabilities. While it's primarily known for its web experimentation tools, Kameleoon also supports mobile app testing. It provides a user-friendly interface for creating and managing experiments, along with advanced targeting and segmentation options.
  • Unleash is an open-source feature toggle (or feature flag) system that can be used as an alternative to Taplytics' feature management capabilities. While it doesn't offer the full suite of A/B testing tools that Taplytics does, Unleash provides robust feature flagging functionality that can be self-hosted or used as a cloud service. Its open-source nature makes it highly customizable and suitable for teams that prefer more control over their feature management infrastructure.

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