User personalization is intended to tailor each individual’s experience to them and really provide a more human element to the interaction. Providing this aspect of feeling known and understood rather than just being a generic set of eyes can go a long way towards more fulfilling and continued engagement with your users.
Digital retail is an major space where personalization surfaces because it’s challenging to find the right balance and approach for the interaction. By concentrating on the online retail journey of your customer and making it a personalized experience, you and your customers both benefit from the more personal and meaningful interaction.
Customers today have become quite willing to share personal details in exchange for improved shopping offers and experience. By using these details in a meaningful way you’ll be demonstrating an understanding of your customers and showing how you can utilize such knowledge to enhance their experience, they’ll be more likely to continue to lean into the experience by providing even more insights into their preferences.
A lot of online retail websites offer a plethora of navigation trees, but people have been trained to make use of search interfaces. Furthermore, search bars provide the possibility of a customer to show, in detail, what they want, which is a lot more effective compared to a bunch of static product categories. By opting for a schema-free Neo4j database via search and semantic support, it’s now possible to bring your product/services data in your industry knowledge and begin offering a more personalized search experience as part of the interaction.
In turn, this creates a flexible system that’s a lot better than a rules-based strategy and far more agile compared to a big data approach. Through this, you’ll be able to identify your customers of high value and make a correlation of such contextual data against these essential people. The Neo4j graph database has proven to be the perfect technology for making such dynamic and personalized recommendations
It’s important for any business to offer a great customer experience with relevant and timely content personalized for each individual. This can be accomplished through the use of Neo4j to create relevant, real-time recommendations and personalization to shoppers during their online retail experience. Much of this is thanks to the native traversal performance and immediately available nature of new relationship connections within the database as the user’s interactions stream into Neo4j.