Real-time personalisation goes a step further than just your normal personalisation, it means being prepared to make a decision during a live interaction with a customer rather than making an advanced decision.

As customer expectations continue to rise more and more enterprises not only want but need to become more Real-time Customer-centric in order to offer more customised and relevant experiences. When companies use real-time properly, they reap significant rewards – such as increasing turnover and sales, enhancing online conversion rates, boosting average order value, and strengthening customer loyalty and retention.

In recent years the effectiveness of traditional outbound marketing campaigns has significantly declined due to a shift in prospect & customer behaviour with more businesses competing for the attention of customers. So now, it’s even more important to connect with customers on their own terms – during those moments when they contact you – which can dramatically improve marketing’s effectiveness.

As consumers upgrade their smartphones with new apps and location-based functionalities, retailers will have more accurate, geo-based data to pinpoint specific promotional offers and services for shoppers as they are on the shop floor.

Benefits of real-time personalisation:

• Increase response rates for inbound channels by maximising the relevancy of messages presented in real-time
• Improve each customer’s experience by personalising interaction with your companyMaintain a consistent dialogue with customers across all channelsAchieve better overall marketing results.
• Overall this will Increase a company’s Acquisition, Retention and Profitability of their Customers

Companies are beginning to take greater care in understanding the customer data they have and how they can leverage open source technologies to rapidly develop scalable ways to synchronise in-store data with online intelligence for better services and recommendations. The shoppers’ experience today is a highly fragmented one, driven largely by the fact that retailers rely on legacy systems, disparate databases and applications that cannot speak to one another. This where customer intelligence can help retailers deliver a more personalised, more relevant campaigns that fit individual shoppers’ needs.

However, complexities of establishing this Real-time customer Hyper-personalisation mean that many companies are unable to achieve the desired results, particularly looking at Data Architecture and Data Integration/Processing. This is where companies turn to outside assistance in the shape of Trusted and Sector-Experienced Partners (such as Datalytyx 😉 ).