We love things that are made just for us. Whether it’s a birthday gift or a TV show recommendation, we feel special when someone remembers our preferences and does something that perfectly fits our tastes.
This is why 71% of customers now expect personalized experiences from companies. And it’s also why 89% of digital businesses are investing in personalization to improve customer experience and boost growth.
AI helps businesses achieve this at scale. AI can deliver hyper-personalized experiences in a faster, more efficient, and more seamless way than ever. In this blog, we’ll explore some next-age AI personalization examples that are shaping the future of customer experience.
AI-driven personalization is a technology businesses use to create tailored experiences for each customer. These experiences can include conversations, product recommendations, advertisements, content suggestions, or customized services.
The AI system can analyze vast amounts of user data like browsing history, chat history, past purchases, social media activity, and demographics in real time to understand the preferences and needs of millions of users. We humans could never achieve this manually.
AI uses this data to learn what users like, what they dislike, and what they may want in the future. This lets AI systems deliver personalized experiences that make customers feel valued and understood, which ultimately increases user engagement.
For example, Spotify creates the Discover Weekly playlist for each of its millions of users every Monday morning. This playlist features 30 fresh tracks based on the user’s listening history and the listening habits of other users with similar tastes. The result? Spotify users have streamed over 2.3 billion hours of their personalized playlists in just five years!
Let's look at some advanced examples of AI-powered personalization to understand how it's playing out in the real world.
Hyper-personalized websites display different content and layouts to different visitors based on their needs, preferences, and past activity. Unlike static websites that remain the same for everyone, hyper-personalized websites only display information that visitors would be interested in.
For example, Expertise AI is a website engagement tool that generates unique web pages for every visitor within seconds. This is a no-code platform that lets you make your website dynamic, responsive, and irresistible in just a few minutes.
Landing on a personalized website is like walking into a store where every item on display is picked just for you. You don't have to read confusing and irrelevant blocks of text. The hyper-personalization lets you easily find what you need, explore products, and make instant buying decisions. This speeds up your sales cycle and converts more visitors into your customers.
Losing weight can be tough with generic plans. AI simplifies it for us. AI creates personalized weight loss plans for users based on their habits, progress, lifestyle, and goals. It can also suggest meals, design workout routines, and even deliver motivational messages.
For example, Simple Life provides an AI weight loss coach that can guide you to make the right lifestyle choices to achieve your fitness goals. It suggests personalized daily actions, scans restaurant menus to provide nutrition insights, and delivers feedback on your diet. You can also chat and ask questions about recipes, workouts, and stress relief.
This is the most common example of AI personalization. AI-powered e-commerce stores can suggest products tailored to each individual buyer. AI algorithms collect user data and use it to predict which products the user would be interested in.
For example, Amazon uses AI and machine learning to recommend products based on users' preferences, searches, browsing, and purchase history. These products are often displayed on Amazon’s home page under sections like Deals for You, Top Picks for You, or Keep Shopping For.
So, if you browse and purchase a self-help book on productivity, Amazon would recommend similar productivity and time management books by other authors. You’ll see trending deals, the best discounts, and the highest-reviewed books.
That is how Amazon helps users easily discover the right products from their selection of over 300 million products. When users see products that they need and like, they’re more likely to make a purchase.
You already know many examples of this. We’re so used to them now that we don't even notice. Here are some examples of AI-powered personalized content suggestions:
Nobody likes generic spam emails. But we still see them in our inboxes because they’re easy to create. But now, you can use AI to easily craft personalized emails and ads for your audience.
For example, AI agents powered by Chatsimple craft hyper-personalized follow-up emails for each collected lead based on their chat history. You can edit and send these emails with a single click to close more deals.
Google's dynamic search ads are a prime AI personalization example in marketing. These ads automatically generate headlines and select landing pages on your website based on user's search queries. This makes your ads relevant and high-converting.
Artisan is another example that provides AI agents for personalized outbound emails. These AI agents can find relevant leads for your business and create personalized emails based on lead insights on platforms like Crunchbase, LinkedIn, and Twitter.
AI can personalize learning based on the strengths, weaknesses, learning styles, and progress of each learner. It can grade assignments and analyze quiz scores to understand what a student is good at and where they need help. This way, AI can provide feedback, design learning plans, and recommend resources to help learners improve weak areas.
The best example of AI in education personalization is Khan Academy's Khanmigo. Khanmigo is an AI teaching assistant that interacts with students and provides personalized guidance and support. It guides students to think critically, find answers, and learn new skills. Khanmigo also suggests learning materials and adjusts the difficulty level based on students' progress.
AI agents and chatbots enable businesses to deliver personalized support at scale. You can add them to your website, WhatsApp, Instagram, or Gmail to provide 24/7 support.
AI customer service agents can understand the context, emotion, and intent behind each query to provide natural responses, just like a human. It can answer customer queries, troubleshoot issues, complete payments, or escalate chats to human agents.
The smartest AI personalization example in customer support would be Chatsimple’s AI agents. These AI agents can deliver hyper-personalized voice as well as text responses to your website visitors. They also guide buyers to the right products based on their needs, challenges, and goals.
For instance, if you have an e-commerce website selling sneakers, the AI agent can recommend visitors the best deals based on their color, size, and budget preferences. This helps visitors instantly find the right products, leading to a smooth and pleasant buying experience.
Personalization has become a necessity to meet rising customer expectations. If you want to deliver hyper-personalized website experiences to every visitor, you should try Expertise AI.
Expertise AI is an advanced website engagement tool that can make your site dynamic and responsive. It can deliver an unmatched user experience, increasing visitor retention and attracting more sales opportunities.
The best part? You don’t need any coding or design skills to get started. You can create your Expertise AI agent and deploy it on your website with just a few clicks. Sign up for a free trial today.