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Read The ReportLearn how to build a Customer 360 model to fully personalize the customer experience
In the era of hyper-personalization, your customers expect you to tailor your products and services to a market of one (aka, them).
This is hard to do when the majority of big corporations are built for the masses, not for the hyper-niche markets.
At Unilever we have an ambition to have a billion one-to-one relationships—I don’t believe that a focus on the individual has to mean “niche.” - Keith Weed, Chief Marketing and Communications Officer at Unilever
So how do you move from addressing the “male or female between 20 and 65 years” segment to having personalized conversations?
With the Customer 360 view.
The Customer 360 is a single view of your customer across the entire customer journey.
It encompasses every touchpoint and customer engagement along that way. From the first conversations to purchases, support tickets, and even to the last bitter goodbyes.
Specifically, Customer 360 builds a holistic view integrating all customer data from the various data sources at your company:
The Customer 360 is a toolkit most commonly used by client-facing roles.
For example, when your Customer Success Manager needs to renegotiate a deal or upsell an existing client, they quickly fire up the Customer 360 to get a holistic and real-time view of everything that mattered and happened with that client.
Or when your technical support hero receives a return ticket for an e-Commerce order gone wrong, they can quickly establish all the past communication with the client, how often they purchase, their general satisfaction with your company (NPS survey anyone?) and make fast choices about how to resolve a complaint.
In other words, Customer 360 empowers your front-line warriors to offer the most personalized and elevated customer experience there is. At every touchpoint.
The data sets used to build the Customer 360 view allow you to go beyond improving the customer experience for every individual.
Building the Customer 360 view can allow you to innovate in ways that get you ahead of your competition.
The obvious example is customer profiles used by marketing and sales. Traditional segmentation techniques involve using demographics to cluster your customers into segments. “Male or female between 20 and 65 years” is the infamous target persona.
With all the data available to you, you can build refined segments. Segments that are based on customer satisfaction or purchase frequency. Segments that are much more tailored to your actual customers than to your envisioned profiles.
With the advent of big data and the use of artificial intelligence, companies have started using Customer 360 for even more innovative initiatives.
Machine learning algorithms take the data from individual Customer 360 views and build predictive algorithms that help you optimize pricing (“What customer profile is more likely to be upsold?”) or even improve retention (identify the risk factors of churning and prevent them altogether).
These are just some of the many advantages the Customer 360 view offers.
There are 3 main advantages to the Customer 360 model:
So how do you build a Customer 360 model to unlock these benefits?
Building a data warehouse as a single source of truth that unifies and integrates all the different data sources seems to be a challenging engineering problem.
But it does not have to be painful.
With Keboola, you can easily build your Customer 360 with a single data platform:
Try it for free. Keboola has an always-free, no-credit-card-required plan. So, you can build your Customer 360 model with a couple of clicks. Feel free to give it a go or reach out to us if you have any questions.