Digital Analytics

What is happening, where and how much? Practitioner-written articles on digital analytics and tag managers.

Tracking Multiple Domains: Setup & Reporting for Dozens of Sites

How do you coordinate the analytics setup of a web shop that sells their products all over the world—if you have to handle 10+ languages and currencies in over 80 countries?

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Kaggle: A Marketer's Guide for Analytics and Data Science

Kaggle, the Google-acquired data science platform, started as a virtual meeting point for machine-learning geeks to compete on predictive accuracy scores.

It evolved into a Swiss Army knife for data science and analytics—one that can help data professionals, including data-driven marketers, elevate their analytics game.

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Behavior-Based Attribution Using Google BigQuery ML

Why create a custom attribution tool? Because with out-of-the-box tools, you’re limited by their functionality, data transformations, models, and heuristics.

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Tealium iQ: What Can It Do? And How Does It Compare?

When most people think about tag management, they think about Google Tag Manager (GTM), Adobe Launch, and Adobe DTM. And, usually, companies are using the tag manager provided by their chosen web and/or app analytics vendor.

This article highlights what a vendor-agnostic tag manager product, Tealium iQ, brings to the table. Tealium iQ is a feature-rich product that also has a unique angle to tag management compared to the market-dominating products.

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Measurement Protocol 101: Improve Your Google Analytics Data

Google Analytics and Google Tag Manager have limitations. Often, these limitations are outside your control (e.g., technical aspects of a website that can’t be changed).

Fortunately, many issues—such as updating a user status from your CRM or sending refund data—are solved by using Google Analytics’ Measurement Protocol

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Google BigQuery: A Tutorial for Marketers

When it comes to Google BigQuery, there are plenty of articles and online courses out there. Most are “tech to tech” explanations—which are great. But they can be intimidating for those beginning their marketing-to-tech journey.

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Multichannel Attribution: How to Measure the Unmeasurable

If you’ve ever tried to build an attribution model that wasn’t position-based (i.e. last click, first click, linear, etc.), you might have felt overwhelmed. But customer paths are non-linear and pretty complicated—sooo many things influence conversions. 

Most businesses have a lot of data about customer behavior: the devices they use to purchase, ads, competitors’ pricing, keywords, etc. But they can’t make sense of it all.

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Google Analytics Custom Reports

Statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital,” said Aaron Levenstein, a former professor of business administration at Baruch College. [Tweet it!]

The same is true of your data in Google Analytics. Most of what you spend your time looking at (and re-looking at) is merely suggestive.

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Adobe Analytics Implementation: Hacks You Don’t Know About

A few years ago, our developers rolled out Angular on a few key web pages—without consulting the web analytics team. The pageviews on some of the pages suddenly dropped to almost nothing.

I bought two books on Angular to try to find a solution. Meanwhile, my manager stumbled on an alternative syntax for tracking pageviews in Adobe Analytics. As we found out, a similar alternative syntax also exists to track clicks (and anything else).

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Audience Segmentation: Where Do You Start?

As Peter Drucker famously wrote, “The aim of marketing is to know the customer so well the product or service fits them, and sells itself.”

In conversion optimization, we talk about the importance of knowing our customers a lot.

But we rarely talk about the process of strategically segmenting our audience so that our products and services can sell themselves.

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