Ecommerce

Are You Using the Right Ecommerce A/B Testing KPI?

Are You Using the Right Ecommerce A/B Testing KPI?

For the past several years ecommerce and other organizations have invested more resources into running A/B/n tests on their websites. If you are conducting tests on your website, it is imperative to understand how test performance is being measured in order to ensure the right business decisions are being made. In this post, you’ll learn about the 3 KPIs that are commonly used to optimize revenue performance and discover why Revenue Per Visitor is the best ecommerce KPI to rely on when making business decisions.

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May 18, 2018

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Implementing an Abandoned Cart Campaign Using Tealium AudienceStream & Responsys

Implementing an Abandoned Cart Campaign Using Tealium AudienceStream & Responsys

A powerful real-time customer segmentation and action engine, Tealium’s AudienceStream is a marketer’s ideal mechanism for taking action on the data collected about your customers. In this post, analytics consultant, Paul Lear, puts AudienceStream and its 3rd party connectors to the test, implementing an abandoned cart campaign utilizing Responsys to send the emails. Learn how to make it happen!

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November 26, 2017

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A/B Testing for the Greater Good of Your Business

A/B Testing for the Greater Good of Your Business

It’s tempting to quickly claim a victory for a winning test variation, but that doesn’t always serve the bigger picture. Understanding why you get certain test results and incorporating those insights with existing knowledge allows your team to make an informed business decision. This A/B test case study article explains how we helped Quicken make the right decision just before their busiest retail season.

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March 17, 2017

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How to Use Filters In Google Analytics to Analyze Ecommerce Sites

How to Use Filters In Google Analytics to Analyze Ecommerce Sites

When analyzing data on a site that has thousands of pages, it is often useful to group data by page type and measure the performance of those page types. As an example, let’s say that you have an ecommerce site. A typical ecommerce site will have a home page, landing pages, regular content pages (you could segment these further), category pages, product pages, a cart page, a checkout page(s), and a receipt/confirmation page. If you have several thousand product skus, analysis on the performance of all of your product pages (in aggregate) is sometimes not easily accomplished. We will discuss two ways to easily accomplish this.

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April 27, 2011

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