Using Big Data to Micro-Target: Integrating Big Data for 1:1 Marketing
One of the things I love about my job at Nectar is sharing with our customers how we deliver value to their business by enabling them to micro-target messages to their customers. Recently, while reading McKinsey Quarterly articles on big data, I saw a couple of statements from McKinsey directors that really resonated with me, because it addresses the core of Nectar’s value proposition.
1) From David Court: “…the key is to focus on the big decisions for which if you had better data, if you had better predictive ability, if you had a better ability to optimize, you’d make more money.”
2) From Tim McGuire: “Analytics will define the difference between the losers and winners going forward.”
I believe that if you make your customers happy, they will be loyal to you, and loyalty generally translates into greater revenue (and less cost) for your company. How do you make your customers happy? By knowing them. Know how they interact with you, know what they buy from you, know what they like about you, know who they are. At an individual level. Of course, this is easier said than done. But with the right tools and data, it can be done.
When, where, what and how you communicate with your customer is one of those big decisions. Using the data you already have from your customer and combining it with other big data–online behavior, social, CRM, mobile, etc.–enables you to predict what that customer would want to hear from you. This predictive ability, in turn, allows you to optimize your relationship with that customer, which then helps you make more money. (I use the singular “customer” because that’s what a robust Digital Management Platform enables you to do: communicate with each of your customers as an individual, yet do it at scale.)
Technology exists today to bring all of your available big data together to build a foundation from which to make your big decisions. A company like Nectar can help you bring all this data together to enable you to build 360 degree profiles of each of your customers. But we don’t stop there; we then apply our proprietary algorithms to analyze your customer profiles to determine the most relevant communications to deliver to each customer–we call this hyper-personalization. To complete the circle, we then help you distribute consistent hyper-personalized messages across every digital channel your customer uses.
We like our perch at the intersection of big data, analytics and hyper-personalization because when we bring each of these tools to bear for our customers, big decisions not only become easy but they also make you money.
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