What Are Real-Time Engagement Apps?

A quick introduction to real-time engagement apps might be in order. These apps take advantage of technologies such as In-app messaging, video, audio, and contextual interactions to engage users. Agora.oi  for example, uses such technology to provide a “real-time experience” to users. This can include a variety of features, including live chat, in-app payments, and video or audio streaming.



In-app messaging

While in-app messages have many benefits, they should be designed carefully. To maximize conversion rates, messages must be relevant, contextual, and align with your brand voice. Using a generic, bland color scheme will be distracting for your customers. Using your brand colors, however, can make your in-app messages more effective. Here are some tips to use in-app messaging effectively. Listed below are tips to maximize engagement rates for your in-app messaging campaigns.

In-app video

In-app video is becoming a popular form of media for mobile apps. Increasing numbers of people are turning to mobile video content to help them get through their day. In-app video providers are trying to gain a piece of this growing market by creating compelling content. However, in-app video content producers must consider user engagement and quality of production before putting their app to use. Read on to learn about how to create a great video content strategy for your app.

In-app audio

Real-time audio and video features are becoming increasingly popular in consumer applications, such as shopping and dating apps. Agora, the leader in real-time engagement APIs, announced that its marketplace has been updated with extensions from audio technology company Bose and real-time content moderation solution Hive. The platform also allows developers to embed real-time audio and video experiences in any application, without the need to create a dedicated client.

Contextual interactions

A unified customer data platform is crucial to create a personalised, contextually relevant customer experience. It can combine data from multiple sources and share the results with other systems to identify customer preferences and trigger actions. AI-driven self-generated analytics can be leveraged to understand customer preferences and trigger desired actions. Brands need to integrate technologies that understand customer context, orchestrate message delivery, and measure the results.

Time spent in app

Time spent in real-time engagement apps indicates user activity in an app. The time spent per session can be either the average across X sessions or the time spent by users over a long period of time. However, time spent should not be considered as the only metric, as prolonged in-app time can mean user frustration and imminent churn.

Measuring growth

Measuring growth with real-time app engagement is essential for measuring the success of your mobile marketing campaign. The first step in measuring user engagement is to determine how many active users your app has on any given day. Then, measure how many of those users return to your app. You can also measure how sticky your app is by measuring how often users use it. If you have a high retention rate, you can adjust your marketing strategy accordingly.

Measuring churn

Measuring churn in real-time engagement apps can be a tricky proposition. The length of time to determine the rate of churn depends on how you measure retention. The rate will vary from month to month and may differ from one app to another. Combined, the three time periods will give you a better picture of your customer journey. The first step is to define lost users. This may involve a user not opening the app for 30 days or an uninstall.

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