Using machine learning, Yodayo AI can greatly help user engagement and individualise content delivery to create a better user experience. Yodayo AI uses data insights to understand how users interact, behave and even prefer a particular content so that platforms can demand their own experience in real-time. Personalized recommendations improve user engagement, as studies show that features like this can increase the click through by up to 50% because they help users to find content that suits their preferences.
Yodayo AI has the built-in ability to segment them according to age, interests, and how they browse (and how often). It is these segments that help Yodayo AI show the right content for different user groups – say personalized notifications, targeted promotions and customized content feeds. A survey earlier this year found 78% of users are more satisfied when platforms provide personalized experiences, underscoring the necessity of AI in engagement strategies.
Another feature that supports engagement with Yodayo AI is sentiment analysis, which is based on natural language processing (NLP) and reveals the emotional response users have to various content. Yodayo AI uses feedback from reviews, comments, and interactions to determine what speaks most to users. For instance, a Forrester Research study showed that the platforms which used sentiment analysis have increased positive user interactions by 30%, as they could adapt their content better to feel the way user feels.
In order for engagement to occur, there is also Yodayo AI — predictive analytics that anticipate the future needs of users. If pushing notifications, reminders, or new content can help make users come back to the app, predictive models help forecast where this drop off points are with time so interventions can be delivered on that issues preventively. This translates to an up to 25% user churn reduction and makes AI an inexpensive user retention and engagement tool.
Interactive experience platforms benefit from Yodayo AI by enabling things like real-time feedback loops and interfaces reacting to user input on the fly. These dynamic features allow users to get personalized experiences that are based on the current job in hand and they tend to stretch their session times accordingly. User Engagement guru Nir Eyal reveals in his article “The Best Products Align with User Needs” published at Medium.com — a principle that Yodayo AI has adapted into their technology solutions.
Quickest and Easiest Way to Increase User Engagements with Yodayo AI? And if the title of this article is indication enough, the company plans to use that technology in publishing personalised replies and sentiment analysis tools — a move clearly designed to win over more brands who are looking for ways to engage customers. To learn more about the potential of yodayo ai and in-app user engagement, visit yodayo ai.