4 Things UX Research Tells You that Google Analytics Doesn’t

Google Analytics is an amazing tool for understanding website traffic. There’s a reason most of the top websites use it. Among other things it can tell you: – How many people visit daily, monthly, and across years and seasons – How much time people spend on pages – What pages get the most visitors –

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Predictive Customer Analytics 101: The Correlation

Want to know what customers are likely to do? You’re not alone. Most organizations would love to predict their customers’ next action or attitude. Unfortunately, there isn’t an analytics crystal ball that provides a clear and accurate picture of the future. Instead, we have to rely on the much murkier reality of past data to

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6 Tips for Better Data Analysis

At our company, we collect and examine a lot of data from various studies: usability tests, branding studies, customer-segmentation analyses, and so on. While you always can’t control the quality of the responses, or the questions asked to participants, you can make the most with the data you receive by using these six techniques the

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Why and How To Segment Your Customers

Know your customer. It’s a marketing maxim. But it’s not just something that the marketing team should worry about. It’s something that affects the entire company, from sales to product development to support. A customer or market segment is the name for the grouping of customers that share certain characteristics. Understanding your customers–their similarities, their

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Identifying the 3 Types of Missing Data

How concerned should you be with missing responses in your survey? One of the primary concerns with sampling in general is the issue of representativeness. That is, we don’t want to sample only happy customers or those who come from large companies instead of small companies if we’re trying to make the right decisions about

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4 Types of Customer Analytics Data to Collect

While they may be called customers, users, buyers, or even guests, they are all people. Organizations quantify, classify, categorize and track people well before they’ve even made a purchase and throughout their customer lifetime. These analytics provide a constant stream of data that should improve the decision making process. To get a better understanding of

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