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Big Data: why it matters and how to get started

May 18, 2015 - 1 Comment

In the past year, while remodeling my house, I’ve spent approximately 80 percent of my time and 140 percent of my patience dealing with a home improvement store. As one example of this journey, when I called to check the status on my windows order, I was told they weren’t sure where in the US it was.

During the two week process of locating the order, I had to call and re-explain the situation to nearly everyone in the windows department. I even tweeted their corporate office, who told me to email them, and they then provided incorrect information via email. The process convinced me that this business truly did not care about my experience with their brand.

But the truth is that it’s not really the company’s fault. Here’s how information and data would have had to flow for me to get the experience I wanted:

Graphics_DataFlow
How data would have had to flow in this situation.

Just to fulfill my purchase to my expectations, my order information had to travel from the local office systems to the manufacturer’s, the delivery company, and the corporate headquarters. Then feedback about the physical goods and my interactions with different levels of customer support had to flow back through all these systems.

As a digital marketer, I see why this is hard. But as a customer, I still expect the company to know my order and use that knowledge to provide timely service — and your customers likely feel the same way.

That’s where the joys and pains of Big Data comes in.

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How personalized product recommendations work

May 12, 2015 - 2 Comments

With personalized product recommendation engines, eCommerce stores can immediately deliver product suggestions. Rather than providing users with pre-defined related products, highly relevant products can automatically be recommended on any page, from products to the shopping cart.

We wanted to give you a closer look at how machine learning technology tracks, stores, and analyzes data so that you can deliver both product and user recommendations to customers. We also wanted to more closely explore the advantages of personalized recommendations over pre-defined related products. So today we’re going to do just that.

Let’s dive into personalized recommendation engines and explore how they learn from customers to deliver highly accurate product suggestions, and take a look at how one store has used our plugin to meet their specific needs.

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How your store can benefit from personalized product recommendations

May 6, 2015 - 4 Comments

Customers love that personal touch, whether it’s being addressed by name in an email, a shop owner remembering their birthday, or being able to customize a website to their needs. It can make them feel like they’re your single most important customer.

With personalized product recommendations, you can suggest highly relevant products to your customers at multiple touch points of the shopping process. Intuitive recommendations will make every customer feel like your shop was created just for them — and you’ll enjoy a natural boost in conversions and order values.

Let’s take a look at what we mean when we say “personalized” recommendations, explore how implementing these recommendations can help you improve your store, and review how to decide if a recommendation engine or plugin is the right choice for you.

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