“I came, I puked, I left” is a very famous definition of the bounce rate by Avinash Kaushik. But what does it mean exactly? When does a visitor bounce? Is it purely a visitor that hits the back button or is there more to it? And what can you tell by looking at the bounce […]
“The more information that is known about an online visitor, the more targeted an advertisement or Web page content can be, which will improve the user experience and the site’s results.”– Gartner Research That “more information” Gartner is talking about can only be gained by analyzing user behavior, folks. In the fast-moving world of eCommerce,
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One of the biggest challenges of working in the digital marketing analytics field is finding quality talent. Much of what we do day-to-day still isn’t taught in universities. Standards for credentials are generally low, so most certifications don’t carry much authority. As an industry, we’ve scarcely agreed on what to call anything, so it’s difficult
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Clients and even conference presenters are using Google Search Console’s position wrong. It’s an easy mistake to make. Here’s why you should only trust position when looking at query data and not page or site data. Position Google has a lot of information on how they calculate position and what it means. The content here is pretty dense
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These days, customer journeys look less like a yellow brick road and more like an endless maze with numerous possibilities. Different channels, multiple devices and a slew of sources can create countless non-linear paths. As B2B marketers, our great task is to leverage and measure these journeys to maximize sales opportunities. Therefore, marketers must be
Google Data Studio provides a way to turn god-awful data tables, data puking, and boring charts into beautiful data visualizations. We at Seer really love the product, but, in our use, have recognized it’s missing one key functionality – the ability to PDF your new beautiful creation(s)! To me, this dilemma is the definition of
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If you had a dollar for every time you heard a marketing professional say “We’re using big data to improve our marketing,” you’d be retired in your beachfront property right now instead of reading this, right? Everyone is “using big data” for marketing purposes. Source But many are spending money and getting little profit in
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Welcome to The Definitive Guide to Analysis Workspace for Adobe Analytics, here’s what we’ll be covering in the post below! Table of Contents The Mystery of Digital Analytics The Role of Analysis Workspace for Adobe Analysis Workspace Landing Page The Basics of Analysis Workspace Left Sidebar Navigation and Top Menu The Freeform Table 20 Analysis
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You’re drowning in data. You’ve got enough KPIs to track and report on already. Why would you possibly need another one? What good would come of adding yet another hour to the end of you’re already long work day in order to dig it up? The truth, in this case, is that you can’t afford
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NOW UPDATED! This post was expanded for 2017 with new tactics for measuring your analytics. In 1955, Columbia House sold 700,000 records through no more than direct mail marketing and a telephone ordering service. Now, 93% of marketers agree that social media is important for their business. The business world is changing rapidly, and with it, marketing. Columbia House and other
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