How to Use Artificial Intelligence to Retain Your App Users
User retention refers to keeping your current users and clients and encouraging them to utilise your product or service again for additional actions like user sessions, engagement, sales, and so on. Almost 75% of businesses are aware that keeping current clients is more cost-effective than finding new ones. However, just 15% of businesses prioritise user retention, which is unfortunate because your current customers are an asset. The simple justification behind this is that your product’s worth will increase significantly if you can keep your current consumers interested and purchasing more from you. Additionally, it implies that keeping a current user is much more important and affordable than finding a new one.
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Mobile apps with AI integration provide marketers with a thorough picture of user behaviour and aid in streamlining the entire journey by adding value along the way. It sorts through a vast amount of data to find useful insights that will open the door to a deeper connection with clients. It is easier to target crucial prospects by using previous data to locate and interact with people who share traits and are more likely to respond to your message. Even your outbound marketing campaigns are optimised to reach the right users at the right time with the correct message to maximise earnings. It evaluates the real-time data to make the best judgements possible and applies its expertise to improve user retention and the app experience. Let’s go into detail about the various strategies AI uses to keep app users engaged.
Targeting with accuracy and personalization
AI strategically makes use of user data to deliver time zone-based, tailored advertisements.To keep the content relevant, it takes advantage of basic user information (such as gender, age, and hobbies) and targets the right audiences with relevant content. Additionally, it enables you to create incredibly targeted ads for upselling and to save unhappy customers from being on the verge of leaving your business. For instance, Netflix employs machine learning (ML) algorithms to generate ‘recommendations’ that offer users interesting and relevant material to keep them coming back for more. Using a system of algorithms, the Facebook app presents you with related material based on your prior clicks and searches. Suggestions would facilitate quicker purchases for users, especially on e-commerce sites like Amazon making the app experience more effective. The software analyses the user’s browsing history, ongoing trends, and cart additions to provide discounts, offers, and rewards for loyalty.
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Autonomous Judgement
Apps engage and keep users with the help of the branch of AI known as autonomous judgement. In order to solve complicated problems and deliver the best outcomes, AI uses logical reasoning and deductive reasoning. For instance, the Uber algorithm uses a variety of factors, including traffic, distance, drop-off locations, and previous trips in the same way, to automatically provide the least time-consuming route.This AI-based marketing enables companies to maintain their consumer data without manual entry, saving a significant amount of time that could be used for more beneficial operations. They can develop a customised customer experience by using this information to study client engagement and behaviour.
Evaluating user feedback
AI tracks user sentiment and analyses consumer reviews to comprehend their perspective and psychological undertone. It is used for online community monitoring, surveys, and the tracking of emotional trends with the aid of deep learning and machine learning. AI can swiftly find and report unfavourable comments about your brand on social media by analysing the word choice and tone. That will enable you to communicate with the unhappy client and address the problem as soon as possible. With this approach, marketers can analyse and map out user activity for a seamless, personalised experience.
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Better ways for communication
Users are now replacing credentials and patterns with fingerprint touches as a result of the merging of AI and technological advances like biometrics and surveillance, which makes it quicker and easier for them to access apps. Similar to how more users are abandoning typing, voice-controlled AI assistants like Apple’s Siri, Microsoft’s Cortana, and the Google Assistant have gained popularity. Users can now simply use voice search to open apps and carry out complex operations like making online payments and paying bills thanks to their connection with a variety of apps.For instance, numerous apps like McDonald’s, Starbucks, Barista, and others let users order and pay for their meals verbally.
Wrapping Up
AI can forecast consumer trends and behaviour, automatically update data without human interaction, and provide clients with necessary, individualised recommendations. An AI-enhanced approach leaves the customer feeling emotionally linked with the business, and customer loyalty and retention are improved and boosted by offering a consistent, feasible, and customised experience across all channels
