Evolving consumer expectations require hyper-personalization to create meaningful connections with customers by utilizing modern digital experience platforms (DXP).
Hyper-personalization uses artificial intelligence and machine learning to go further than segmentation and allow you to create a customer experience that is unique to an individual.
With the use of big data, analytics, individual journey maps, and personalized content, hyper-personalized experiences help attract customers, drive profits, and reduce costs. Ongoing efforts to better segment customers are useful but AI is more effective at responding to changes in a visitor's behavior quickly. Using hyper-personalization, marketers can proactively adapt experiences to create unique touchpoints that are personalized to individual visitors.
Real-time data combines 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. While it cannot design your strategies or replace your multivariate testing, you can use the data to control how you deliver experiences to users.
Hyper-personalization requires you to model different behaviors and use algorithms with real-time data to decide when is the optimal time to deliver a communication, alert, or offer. Every touchpoint in your journey map can benefit from hyper-personalization by engaging with users directly and anticipating their needs accurately.
Traditional personalization techniques helped companies to engage with customers and create targeted content and experiences based on historical analytics. Hyper-personalization still requires CX designers, multivariate testing, and experimentation to build the journeys but uses personalized delivery algorithms to optimize the entire experience.
Companies who implement hyper-personalization benefit from:
Hyper-personalization requires organizations to continuously optimize journeys based on the real-time collection of data. Experimentation with different content and experiences will enable you to improve the framework and create optimized algorithms, while the technology behind the process will allow you to automate almost every element in your delivery process.
To get the best ROI from hyper-personalization, you should:
You'll need to use all pertinent data that you collect to help your AI and ML model evolve with your customers, understanding where friction points emerged and so you can eliminate them over time.
Creating a hyper-personalized experience starts with leveraging new and existing data to create detailed profiles for each visitor. A DXP enables you to get started quickly, helping you to personalize content based on your existing touchpoints, optimize your segmentation for unique profiles, and streamline your delivery across all channels.
These are the major elements of a hyper-personalization process:
Hyper-personalization isn't entirely new -- many organizations have proven the value of following this strategy when designing their digital journeys. What is new is the systems that provide these new capabilities are no longer just available to the biggest ecommerce and SaaS companies.
Some of the organizations that benefited from hyper-personalization include:
Started using location services to populate a variety of forms automatically, depending on what service the visitor wanted to sign up for on their site. Once the visitor did sign up, every journey is unique to the person while it keeps a complete history of all their interactions on the site.
Even when someone doesn't complete a purchase on the Reebok store, the site will track all the visitor's events and if you're signed up to receive communications, send you a personalized email that recommends the best products according to your browsing history. Reebok keeps track of each user's visit, uses algorithms to identify the related products, and creates an automated product list with a unique message using hyper-personalization.
Once again, Amazon is one of the early adopters who built their entire ecosystem on hyper-personalization. Users get unique homepages, highly accurate product recommendations, the opportunity to increase order with supporting items, and a seamless checkout experience. From the beginning, Amazon continued to reduce friction points according to an individual's routines and preferences.
Realizing your digital potential depends on delivering unique, optimized experiences with automated content delivery, rigorous experimentation, and hyper-personalization. Most CMOs need to drive profit, innovate new products, and continuously improve experiences by making data-driven decisions. Hyper-personalized content helps achieve these goals when delivered at the exact time required and evolving with the user's unique journey.
Optimizely provides you with a comprehensive set of capabilities to unlock your digital potential and deliver truly unique experiences to your customers. Analytics help you make better decisions while our experimentation tools take the guesswork out of your content delivery and user journey maps. With Optimizely, you can deliver meaningful digital experiences that speak to each visitor individually.
For more information about Optimizely's DXP and hyper-personalization capabilities, reach out to one of our agents and discuss your needs today.