Hyper-Personalization

Real-time analytics and data combined with AI processing to control how you deliver content, suggest next steps, respond to events, thereby controlling every touchpoint in your journey map based on customer data. This integrated technology allows you to give the right product recommendations to customers at the right time and place. This is a great asset for companies that want to respond quickly and effectively when they sense customer needs.

Personalization requires you to create a detailed customer journey map and build sophisticated machine learning models to determine when is the optimal time to run specific campaigns, communicate with customers, and offer personalized content. Every touchpoint in the journey to purchase can benefit from hyper-customization by engaging with users directly and anticipating their needs accurately.

Value Of Hyper-Personalization

For more than a decade, e-commerce web design has been focused on building sites that were optimized to deliver the best possible user experience. The benefits of hyper-personalization are well documented: personalized content recommendations based on previous purchasing history, product suggestions and status updates based on current personal information, etc. However, hyper-personalization still requires CX designers, multivariate testing, and experimentation to build the journeys.

Companies that take advantage of hyper-personalization are able to reduce the hurdles visitors face while in sales journeys, resulting in fewer unexpected obstacles and less abandoned carts. They are also able to prevent overburdened customers from abandoning their online shopping carts by using specific algorithms to limit choices based on a visitor's current and past behavior instead of relying on segmentation and automation alone. They increase revenue by providing unique messages, communications, offers, and content that drive revenues. They also ensure the content, journey, and overall experience matches the latest trends.

Hyper-Personalization Best Practices

Advanced segmentation and customization require constant experimentation with different content and experience. By experimenting with different content and experience, you will be able to improve the framework for personalized delivery and create advanced algorithms. The technology behind the process will allow you to automate almost every element in your delivery process.

Collecting data is an important part of the customer buying experience. You should always collect as much as possible about your visitors. Personalization and AI are tools that can be used to continuously personalize the buyer's journey.

You should also personalize all of your content delivery methods across all of your websites, social media, apps, and other emerging delivery platforms along with constantly analyzing data from these channels to determine what the optimal content delivery time is for each channel.

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