Marketing Optimization includes everything that is related to measuring and optimizing the online marketing budget. It includes acquisition techniques such as PPC, SEO, social media advertising and banners. And it also includes retention techniques such improving visitors’ engagement and conversion rates.
This article, written by Google's Analytics Advocate Krista Seiden shows how to successfully build an optimization and testing culture by outlining an ongoing process for data usage, analysis and communication.
In this post I share the Top 10 Google Analytics tips drawn from my weekly tips column on the official Google Analytics Google+ page. I try the best I can to keep them very actionable, i.e. something that you can do right after reading the tip. Check it out...
In this post David Krevitt discusses how he uses Google Sheets Add-ons to explore and analyze data - like spreadsheet magic, or painting with data. He describes (and links to) templates he created to find SEO improvement opportunities.
In this article Daniel Waisberg discusses an important development in the DFP & Google Analytics 360 integration: the Audience Sharing feature (beta) that allows publishers to share Google Analytics 360 Audiences with DFP bringing a series of benefits.
This article contains the official video of Superweek 2016, where some of the presenters talk about the analytics industry challenges, opportunities and most important aspects.
In this article Daniel Waisberg provides a quick explanation of publishers integrations available on Google Analytics 360, including DFP, Ad Exchange and AdSense.
Having only fraction of the data leads to suboptimal and sometimes inaccurate decisions. The 360 integration of all channels and a successful cross-device measurement is the key to success. Google Analytics Premium and DoubleClick Campaign Manager offer a supreme solution for that with the power of data in a well known user interface.
Sometimes we jump at conclusions while analyzing data and assume that we are creating better user experiences on our online properties by simply "reducing pain" instead of "increasing happiness". Learn more about why taking the opposite direction might be a great approach too.
This article walks you through GA Effect, a web application that helps you identify whether events happening on your Google Analytics data are statistically significant or just pure chance; in other words, it separates signal from noise. In this article you will learn how to use GA Effect and interpret the results.
In this post, Pere Rovira discusses COGS (Cost Of Goods Sold) and LTV (Lifetime Value), two fundamental business metrics that can help web analysts be more meaningful and influential with their analysis.