Big Data for current Marketers

4 Strategies That Must Be Leveraged By Current Marketers

By: Herman Morgan
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Managing massive amounts of numbers, and related data have been as much fun as pushing your car 8 blocks to a gas station. Yes, it’s more like you can never be so sure about reaching the destination. But when you do, you require to figure out a way to make up for all the time you have lost. Right from day 1 when your company starts recording their transactional data till today, the amount of data available is piling over and over. In fact, increase in mobile phones, sensors, and such technologies has resulted in an increase in volume, varsity, and variety. As a result, everything needs to be strategically utilized so that companies can generate accurate insight from the past. Here’s the time when a reliable Big data service provider comes into play.

As the time passes by, marketing is becoming one of the most important business processes these days. And of course, professionals have to guarantee that the investment the company puts into campaigns will provide a real return. One of the most beneficial ways of achieving this is utilizing a prominent Big data services in town.

In the following post, I would like to emphasize on what types of information are critical when planning to take these kinds of initiatives, and which specific strategies should enterprise marketers leverage.

1) Centralizing customer data sources

Many of you will agree with me when I say that the ability to reveal critical insights about a brand’s client base is one of the biggest boons of big data. What I mean is, the information being highly pitched to your current customers can help the company learn more about who its best shoppers are, what do they love to buy, when they make their purchases and much more.

According to the marketing vice president for consumer management provider Clutch, Mark Harrington- it can be incredibly powerful for marketers to better organize, centralize and synthesize the disparate customer data sources that exist across the organization. These can include details from the point-of-sale system, the customer relationship management platform, the business’s mobile applications, and even its social media platforms.

He adds, integrating each of these customer data silos into a single, synthesized data set, delivers an unprecedented, holistic view of their customers based on their purchases, interactions, and preferences. This, in turn, provides powerful intelligence to drive advanced segmentation, sophisticated personas and strategic, targeted campaigns to engage and motivate consumers

Basically leveraging big data in order to create campaigns that appeal to certain segments of the customer base is a critically important capability, particularly when the business seeks to support a new product launch or increase sales of a specific item. During such times, targeting shoppers with the highest chance of conversation is the smartest move to make.

2) Personalize the shopping experience in real time

Strategy building techniques mean it becomes very easy for marketers to leverage customer details so that they can pinpoint the best times to display an ad, send an email or recommend a certain product. Right from their shopping preferences to buying habits and past purchases, these are all invaluable sources that must be leveraged. By doing this, you can easily paint a picture about customers’ needs and the most optimal times for brand engagement.

By doing this, professionals can make sure their valuable customers have a unique shopping experience, and the offerings and discounts are provided in the real time. It may quite interest you to know that such kind of strategies has become popular than ever within both retailers and their customers. Now imagine yourself in the place of your customer who is looking for something in particular and you see a sideline advertisement for similar merchandise- how does that feel? Amazing, isn’t it! That’s all real-time customization is all about! It helps boost conversion and ensures that shoppers have the best opportunity to connect with the brand.

3) Combine internal data sources with external information

In case, if you are planning to widen the scope, including additional sources into a big data, an initiative can provide a great help. Besides, it also provides more granular details about customers and their needs. In the present scenario, you will come across many companies that have the ability to discover a valuable set of insights by combining publicity available census data alongside the business’s own big data.

Such measures can provide income and demographic details that the company might not have access to within its own big data repositories. However, this is just one external source, you can find even more varied data sources, which businesses can pair with their own information to create the best data sets possible.

4) Google: A big data powerhouse

Lastly, search engines have also made a name for themselves in big data realm. These platforms see hundreds upon thousands of searches a day from users all across the globe, helping to create some of the largest big data repositories in the world.

I personally believe that Google trends is such a resource that can help decision-makers and marketers answer their biggest questions and inform critical considerations. And that’s how you may ask? Well, it highlights and qualifies the most recent topics trending on the famous search engine.

So that’s all for now!

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