How Do Real-Time Engagement Apps Work?

What makes real-time engagement apps so valuable? This article will discuss shared context, sub-second latency, and in-app engagement metrics. You may also check out https://www.agora.io/en/blog/the-evolution-to-real-time-engagement/ for more information about these apps. We’ll also discuss how to create a user profile. Real-time engagement apps will make your product stand out from the competition. But how do they work? How do they improve user experience? And what are the steps you need to take to improve your app?

Shared context

Companies on the leading edge of the Age of Real-Time Engagement are leveraging shared context to enable human interactions within digital environments. Using this technology, chats can scale to millions of participants and be accessed from any device. The same principle can be applied to human-to-human interactions, such as virtual reality and AR experiences. Shared context enables sharing information that is contextually relevant to both parties. Sharing the same contextual information across applications is essential for seamless interoperability. Therefore, apps need to update the active context whenever possible.

Sub-second latency

In-memory computing and video streaming enable more interactive and personalized experiences with sub-second latency. With this capability, video service providers can scale their applications from one to many users with sub-second latency. In-memory solutions enable video service providers to offer their subscribers a better viewing experience and personalized advertising. The introduction of sub-second latency opens up new ways to engage viewers in real time.

Consumers and businesses expect the same quality experience in the digital age. Latency is a factor in every interaction, from chatting with an acquaintance to watching a live video. However, RTC-based solutions can only scale to thousands of users and often sacrifice latency. As a result, a two-way communication stream must have low latency to ensure that the end-user experience is seamless and enjoyable. Sub-second latency is an essential element for real-time engagement apps.

In-app engagement metrics

Understanding how in-app engagement metrics work can help you to improve your app’s design. While session duration is one important metric, it should not be the only consideration. Measuring user behavior over time is crucial, and average session length is a better indicator. You should calculate the average session length if users spend more than 15 minutes in your app.

DAU and MAU: These metrics measure the number of unique users using your app during a week or a month. It helps you determine the overall health of your business. These numbers also indicate interest in your product. To know more about these metrics, go deeper into the analytics. MAU is the most common metric, but other metrics are equally important. Combining them gives you a more comprehensive understanding of your app’s performance.

Creating a user profile

Real-time engagement apps need rich user profiles to analyze customer information and application crash data. This profile can contain any information gathered by the developer or automatically collected by the County SDK, including custom data, events, and user profiles. In addition, a rich user profile should include the user’s preferences and the content they enjoy the most. This information is extremely useful for personalizing the app and improving customer experience.