According to Frost & Sullivan, customer experience will become the key brand differentiator by 2020, edging out both price and product. This means eCommerce personalization is here to stay, and brands who can’t connect with the customer to create satisfying experiences will struggle to remain competitive.
Markets are increasingly becoming saturated with similar, high-quality products at slightly varying price points. It’s no longer enough to offer the cheapest goods or even the best product. Paying attention to how customers interact with your brand both before, during, and after the buying process is critical for a winning strategy.
So how can digital marketers create a highly interactive and satisfactory customer experience for their brands? The answer lies in leveraging the best technologies to build immersive, personalized customer journeys across every channel.
5 Technologies That Are Shaping Personalized Customer Journeys
These eight technology trends enable brands to provide the ultimate personalized experience for the customer.
1. Web Content Management Platforms Facilitate Personalization
“The democratization of capabilities has provided greater agility for marketers and enabled WCM to be formally regarded as key to delivering engaging digital experiences to multiple audiences.” – Mick MacComascaigh and Jim Murphy, Gartner authors
Web content management (WCM) platforms are evolving as the need for personalization influences the software capabilities brands need to implement their customer engagement strategy. Almost all WCMs can automate metadata to optimize content categorization.
Compared to manually categorizing content, which can be ineffective and inaccurate, automating this process closes the gap created when using drop-down lists for tagging, for instance.
2. Augmented Reality Provides an Engaging In-Store Experience
Consumers no longer need to go to a physical location to purchase a product. Retailers today are considering this by using AR technology to provide an immersive experience outside of the store.
This is a key strategy for the future of retail as 71% of consumers say they would shop more frequently at a store that offers augmented reality and 40% would pay more for a product if they can experience it through AR.
Brands like Lacoste are already using AR apps so that customers can try items of clothing through the app to experience how they would look and feel. Other examples of AR technology include in-store AR mirrors that show you wearing a piece of clothing and signage around stores that can connect to your cellphone to pull up reviews of a product.
3. Voice Interactions to Add to the Audiovisual Experience
According to a survey of 500 IT decision-makers, 88% believe that voice technology would give them a competitive advantage when it comes to enhancing the customer experience.
As voice technology becomes more and more functional and engaging, customers won’t think twice about interacting orally with brands through apps. The Starbucks barista app––which allows users to speak orders into their phones––is a prime example of consumer-facing voice technology.
4. Smart Cars Bring the Brand to the Driver
Cars today are no longer pieces of assembled hardware. They are built around sophisticated software that brands can utilize to create an on-the-road experience for customers.
For example, General Motors cars come with a featured called Marketplace on the car screen, through which drivers can place orders from brands like Starbucks or Dunkin’ Donuts. The technology offers consumers both convenience and experience that comes to them, rather than the other way around.
5. Artificial Intelligence Suggests Relevant Data to Customers
AI and machine learning are the difference between a brand that stops at personalizing emails by using the customer name and one that can give customers exactly what they want by offering relevant information.
Perhaps the most powerful example of a brand that uses this technology for maximum advantage is Amazon, which reportedly drives 35% of its sales through its recommendations feature. Artificial intelligence can determine customer behavior by mining through the troves of data generated by their browsing and purchase histories. Machine learning continues to improve this process by using new data to narrow down the customer profile further.
Create Personalized Customer Journeys That Don’t Sacrifice Your Content
The technology certainly exists to enhance brand experiences for customers. But implementing that technology without sacrificing the heart of the experience—your content—will be a tough task if you don’t have a modern, flexible content management system (CMS), such as a headless CMS, in place.
Not only will a headless CMS organize all your cross-channel content in one place, but it can also help you create more engaging personalized customer journeys.

