Customers are hard to predict.
Sometimes you think you haven’t made the sale, but the customer ends up placing a huge order. Other times, customers seem like they’re happy with your service, but they vanish and take their business to your rivals.
It would be useful to have a crystal ball that allowed you to see into the future and accurately predict customer behavior. You could take all the guesswork out of your marketing and customer relationship management.
Sadly, enterprise-ready crystal balls aren’t commercially available yet. But you do have access to a set of tools and techniques that help you make extremely accurate predictions about what’s going to happen next in your business. This is what’s known as predictive analytics.
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As a data-driven ad agency, we understand that knowing information about your audience is essential to keeping them happy. In the modern world, we do this via data collection through our in-house team. You can garner this information through a variety of means, but as with most things in life, not all data is created equally. First-party data is information that you collect in-house, but third-party data is assembled by other companies. While both can benefit your business, there’s an undeniable advantage to keeping your data in-house.
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Data takes on many forms. Sometimes, data can look like a synthetic life form on the USS Enterprise. Other times, like a gadget-wielding little boy in the Goonies. But more often than not, we envision data as long strings of integers that stretch out to infinity and come accompanied with the dial-up Internet noise. While data is integrated into nearly every facet of our lives, there still remains a disconnect between the numbers and how they’re presented. I mean, all a baseball pitcher really has to do is stand on a hill and throw to another player, but their stat sheets make it look like they’re coding the next Apollo mission at the same time. This is precisely why I take notice when a company is able to blend data and marketing so effortlessly, or at least make it seem that way. Here are some examples that showcase the versatility of data presentation when it comes to company branding.
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The ad agency is facing a radical shift. Clients’ needs have changed, and the size, shape, and appearance of the ad agency is going to have to go through a metamorphosis before it can meet those needs.
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The modern American economy is driven by data. It determines the places where we shop, the products that we buy, the manner in which we buy them, and the way in which we express our reactions to these purchases.
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