Optimizely A/B Testing
Optimizely A/B Testing is an experimenting platform that uses two or more versions of demographics to the users. It gives you some analytics to help you determine the best option that you should implement to increase the audience retention rate on your digital product. Optimizely A/B Testing is more of a comprehensive solution for testing, targeting, and recommendations to create the ultimate system of differentiation. It allows you to run better experiments across both backend and front end layouts with a tailored recommendation.
Optimizely A/B Testing gives you real-time answers to speed up the collaboration and create a more responsive user experience. The way it works is via visitors’ interaction with the content, retention time, and click-through rate data that is collected with its statistical engine. All in all, Optimizely A/B Testing lets you analyze the user feedback of your product and help you make changes to boost user experience.
Optimizely A/B Testing Alternatives
#1 Apptimize
Apptimize is a multivariate testing platform that lets you track users as they move from one channel to another. Apptimize helps your brand rapidly iterate to make amazing user experiences across all their digital channels. You can test a change on your platform and track the effect of that change to increase your customer engagement. This ensures that customers will see the same message, pricing, and information across all channels. Another feature called cross-platform release management lets you have complete control of feature releases. Your product team can manage and ramp up the mobile server-side, web changes, and OTT with feature flags.
You can experiment with different personalized user experiences with custom UI and UX designs that match your brand niche. Apptimize is purposely built for teams to significantly accelerate their learning and innovation. A notable feature is that you can integrate Apptimize with a digital stack to seamlessly connect with major data, CRM providers, and analytics. All in all, Apptimize is a great tool for A/B testing that ultimately increases your revenue.
#2 Leanplum A/B Testing
Leanplum A/B Testing is a service that helps you maximize ROI by improving customer’s experience and building loyalty with the brand. You can test different variants of a mobile app to maximize the potential of user interface and user experience. Leanplum A/B Testing shows different versions of particular demographics and lets users determine which interface they like the most. The data is collected, and real-time metrics are shown to help you decide which interface you should go with.
Every little user interaction data is there to help you with weak settings in order to boost click-through rates viewing times, conversations, and engagement. Its AI algorithm will also suggest you make certain changes based on metrics. Leanplum A/B Testing takes the approach of multi-channel preference that makes use of a range of messaging styles on the specific channels and sees what you can learn from the analytics that those tests reveal.
It helps you understand the audience preference over channels with the help of promotions on pair of channels. Another notable feature of Leanplum A/B Testing is message timing that allows you to send customized A/B messages to the users at the right time of the day when traffic is maximum. All in all, Leanplum A/B Testing is a great tool to increase your audience engagement and experience with your digital product.
#3 Storemaven A/B Testing
Storemaven A/B Testing is an online Appstore and Google PlayStore optimization solution that uses A/B testing to receive feedback and improves user experience. The platform helps you launch an app successfully by discovering what drives users with prelaunch testing. After that, you can make decisions to customize the interface and UX with the help of real-time data and analytics on the go. It helps you save money and gain more ROI. Storemaven A/B Testing platform allows test setups for a broad range of hypotheses that can be validated with accurate data. It not only finds what works better and what not but also gives you the real reason why one option worked better.
Storemaven A/B Testing team advises and guides you on creating successful app store assets with current market trends. Another highlighting feature is that you can send and monitor different audience segments to your tests which filters out the audience that is reducing your traffic. All in all, Storemaven A/B Testing is a suitable platform for mobile apps developers that want to optimize their app’s user experience for more engagement.
#4 Taplytics A/B Testing
Taplytics A/B Testing is an advanced mobile app testing platform. It allows you to practice presenting a sample of users with two versions of a product or in-app experience and track use interaction, retention rate, click-through time, and other analytics to determine which version is more positive and which one is negatively engaged. It supports no-code options for both web and mobile applications. One good thing about Taplytics A/B Testing is that it uses a single interface to run experiments on mobile web or OTT. It features fully customizable testing with random user targeting. You can quickly remove or add specific users from your tests and schedule rollouts of the variant that got more votes.
The program is easy to use with easy test buttons, colors, copy images, reusable blocks, variable library, and launch test without making Appstore updates. The dashboard shows real-time analytics of user type, platform, location, activity, and other custom data to help you decide which way to go.
#5 Pushwoosh A/B Testing
Pushwoosh A/B Testing platform creates and send multiple version of email messages and push notifications to the users and get feedback about which version is more relevant. It allows you to decide which email configuration and push notification work better for the users. You can specify certain actions, content, and pathways after the push notification are opened, allot segmentation, scheduling rules, and track the results. It offers a cross-channel customer experience with a visual campaign builder allowing you to keep track of user behavior and send the relevant message to customers.
You can experiment with different personalized user experiences with custom UI and UX designs that match your brand category. Pushwoosh A/B Testing purposely build for teams to significantly accelerate their learning and innovation. A notable feature is that you can integrate Pushwoosh A/B Testing with a digital stack to seamlessly connect with major data, CRM providers, and analytics. All in all, Pushwoosh A/B Testing is a great tool for A/B testing that ultimately increases your revenue.
#6 Azetone Mobile AB Testing
Azetone Mobile AB Testing is an advanced mobile UX and UI optimization platform that helps you make better app design with UX data analytics and personalization experience for iOS or Android platforms. You can easily change or update text, button, positions, size, and images with personalized user targeting. Collect actionable insights to identify and deploy best-performing variants from your testing options. It features fully customizable testing with random user targeting. You can quickly remove or add specific users from your tests and schedule rollouts of the variant that got more votes.
Azetone Mobile AB Testing team advises and guides you on creating successful app store assets with current market trends. Another highlighting feature is that you can send and monitor different audience segments to your tests which filters out the audience that is reducing your traffic. All in all, Azetone Mobile AB Testing is a suitable platform for mobile apps developers that want to optimize their app’s user experience for more engagement.
#7 Clutch A/B Testing
Clutch A/B Testing platform allows you to have audience preferences and help you make decisions with your digital products. It offers developers a fast and easy way to compare design options for their websites or application performance. Clutch A/B Testing gives you real-time answers to speed up the collaboration and create a more responsive user experience. The way it works is via visitors’ interaction with the content, retention time, and click-through rate data that is collected with its statistical engine.
Every little user interaction data is there to help you with weak settings in order to boost click-through rates viewing times, conversations, and engagement. Its AI algorithm will also suggest you make certain changes based on metrics. Clutch A/B Testing takes the approach of multi-channel preference that makes use of a range of messaging styles on the specific channels and sees what you can learn from the analytics that those tests reveal. All in all, Clutch A/B Testing lets you analyze the user feedback of your product and help you make changes to boost user experience.