How to make Big Data personal with Segmentation

marketing personalizationWho says Big Data can’t be personalized?

Within the realms of marketing campaigns, generalization is not a word you want to embrace. Sending identical, generic mass emails to your entire customer base across the board  isn’t the route you want to take. This only leads to poor customer retention, customer dissatisfaction and your emails ending up in the virtual trash bin…unopened.

When you’ve got data, you need to leverage it in order to communicate relevant and targeted messages. The content within these emails need to be useful, have purpose and address the needs of your customers in real time.

In order to efficiently segment your data, you need to conduct an analysis based on existing data and decide the target groups you want to approach. Applying segmentation to  your data allows you to create email marketing campaigns that are relevant for each group.  Segmenting is also a key process that disperses information, products and offers to designated groups that’s specific to their needs and interests.

Segmentation can be based on many factors according to demographics, behavioral, lifecycle, occasions, social data, past purchase history, spending habits, age, gender, website activity, etc.  By segmenting all of this data, you’re identifying the various levels of your database and sending out cost-effecting email campaigns that are tailored to each group. Without segmenting data efficiently, it’s difficult to produce targeted information. Not to mention, it’s a waste of time when you’re sending out products & offers that are of no use to your customers.

Segmentation is typically based on the amount of data you have on individual customers and making the most of it. This can be obtained through social data, CRM, past purchase history, website activity, demographic, etc. It’s the process of dividing your customers into logical groups and tailoring emails targeting their interests, triggers, lifecycles, website behavior, and purchase history.  Nectar suite automatically segments customers based on lifetime value and engagement.

Nectar’s products allows your brand to hyper-personalize communications with the right offers and products in real time that’ll drive revenue.

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Mad Hyper-Personalization: The Evolution to 1:1 Marketing

Don Draper of Mad Men works on Madison Avenue
Don Draper of Mad Men works on Madison Avenue (Photo credit: Wikipedia)

In honor of the Mad Men Season 6 premier this weekend, we’d like to take this moment to take a walk down Marketing Memory Lane, From mass marketing to demographic segmentation to customer segmentation to personalization. And now with Nectar, hyper-personalization.

Before the era now inextricably linked with Don Draper, all consumers received the same products, the same messages and the same ads, in the same medium(s). As Henry Ford once famously said, “Any customer can have a car painted any color that he wants so long as it is black.”

Then came those famous Ad Men (and yes, they were mostly men) of Madison Avenue. They realized that men and women actually hear, read and remember things differently.  So these Mad Men placed “male-oriented” products, like aftershave, in sports magazines or the sports section of the newspaper.  Products “for women” were advertised on TV during the middle of the day, thus the term “soap” opera, a tip of the hat to sponsor Procter & Gamble and their detergents.  This demographic segmentation became more and more specific as time passed, differentiating marketing for marrieds vs singles, high income vs low, urban vs suburban, black vs white, and so on.

As companies began to gather more and more data on their customers and computers became increasingly powerful, smart businesses realized there was an even better way to market.  Customers could be grouped into similar segments and marketed to according to their similarities.  After all, not all women are created equal.  Some of us like brand names. Some of us refuse to buy anything without a coupon.  And some of us try to shop as infrequently as possible–hard to believe, but we exist! The hypothesis was that If brands could speak to each segment in a way that resonated with that segment, customers would buy more. And they did! Segmentation not only improved customer loyalty, it also reduced the cost of doing business.

With the advent of the internet and the wealth of data it provides, targeting has become increasingly defined.  Savvy companies track not only customer purchases, but what customers are looking at when they are on the brand’s site.  Some even combine internal digital data with bricks & mortar data. All this data allows businesses to relate to their customers more effectively.  This 0ersonalization is the precursor to hyper-personalization.

But what if a brand could speak to a customer on an individual level, aka hyper-personalization? That’s what Nectar’s proprietary software allows brands to do!  By combining all digital data available (purchases, online and email click behavior, CRM data, mobile, and so on) with social information, companies can now market to their customers in a 1:1 manner, yet do it at scale.

Today, we may go to the office in blue jeans rather than dapper suits, we may no longer be able to smoke wherever we please, we may not be able to have the 3-martini lunch anymore, but we can speak to our customers in a way that’s much more relevant for them: hyper-personalization.  Now, please excuse me, so I can go spend an hour with Don Draper. Cheers!

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