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4 Business Questions Google Analytics Can Answer About Your Website Visitors

Using Analytics to Understand Your Audiences, Channels, User Behavior, and Conversions   Meet Patrick. Patrick is a visitor on your website, and you want to learn more about him. By visiting your website, Patrick has shown that he is interested in your business or message. Now it is your turn, to convince him to do …

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How to Use Customer Segmentation in Google Analytics to Build Your Buyer Persona

A How-To Guide on Building User Segments to Add Value to Your Business This article is part of our Google Analytics tutorials series. Check out our previous post on How to Set Up Goal Funnel Visualization Reports on Google Analytics. In the last few weeks, we’ve been publishing step-by-step tutorials on how to set up …

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4 Steps of Understanding Your Core Audiences Using Google Analytics

 Ever wonder how to make sense of this dashboard? This is the third post in our “Google Analytics Fundamentals” series at analytics-for-humans. In this series, we will (with a focus on SMBs) teach you how to distill actionable business insights from your Google Analytics data. In our last post, we showed you how to identify …

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Conversion Optimization: 3 Simple Steps to Improve Your Conversion Rate Using Google Analytics

  All websites are created for a purpose. They can make your customers more aware of your brand, encourage them to buy your product, or push them to visit your storefront. The effectiveness of your website in accomplishing these various objectives can be summarized in one metric — conversion rate. Your conversion rate is a …

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How to Set Up Goal Funnel Visualization Reports on Google Analytics

Find Funnel Drop Off Points to Maximize Your Conversion Rate In last week’s article, we walked you through how to properly set up Google Analytics and Google Tag Manager. In that tutorial, we briefly explained how to set up Google Analytics goals in order to measure your business objectives for your digital channels. How to …

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5 Minute Guide to Plotting with Pandas.

Pandas is one of the most popular python libraries for data science. It features an array of tools for data handling and analysis in python. Pandas also has a visualization functionality which leverages the matplotlib library in conjunction with its core data structure, the data frame.