analytics tools - ConversionXL Archives Institute Revenue optimization services Blog Search Start 7-day trial for $1 Subscriptions Minidegrees Sprints Online courses Free courses Resources

analytics tools

5 Analytics Questions You Should Always Ask

In digital analytics, it’s all about asking the right questions.

Sure, in the right context, you can probably get by doing what Avinash Kaushik refers to as “data puking,” but you won’t excel as an analyst or marketer.

In addition, you’ll consistently come up short on bringing true business value to your company.

video

Keep reading

Web Analytics Analysis

For a web analytics analyst or a data-driven marketer, these are words to live by: “Without data, you’re just another person with an opinion.”

Optimization isn’t about educated guesses and hunches, no matter how many years you’ve been in the industry. It’s about doing the research, asking the right questions, digging for clues in problem areas, paying attention to the signs when they appear, and running smart A/B tests.

Web analytics analysis is a big part of that. It helps separate the optimizers from just another person with an opinion.

Keep reading

Google Optimize Beginner's Guide

Chances are, you’ve heard of Google Optimize by now. It’s Google’s solution for A/B testing and personalization. It launched in beta in 2016 and left optimizers around the world waiting in line to try it out.

Since it left beta in March 2017, anyone can give it a try without the wait. But what can you expect? How do you configure it properly? How do you run your first experiment?

Keep reading

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.

Keep reading

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.

Keep reading

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).

Keep reading

Mobile App Analytics

Where should you start with your mobile app analytics?

If you’re launching a mobile app, you’ve likely considered the differences between optimizing a simple site and a mobile app or game. But have you considered how the measurement and data analysis process will be different?

Without a definitive plan and deep understanding of the fundamentals, your mobile app data will get complicated quickly. There are new tools, new terminology, new reports, new rules for efficiency, and so on.

Keep reading

Data Blending: What You Can (and Can't) Do in Google Data Studio

Over the last 18 months or so, Google Data Studio has evolved from an appealing but clunky application to a tool that we recommend to any digital marketer.

Data Studio allows you to communicate data simply and in a repeatable format, and their expanded integrations, customizations, and editability have made Data Studio dashboards extremely powerful.

A relatively new feature, data blending, came out last year. This underused function can do a lot of cool things; it also has some limitations. Once you’ve got your head around the basics, the possibilities are endless.

Keep reading

Propensity Modeling: Using Data (and Expertise) to Predict Behavior

C.F. Kettering once said, “My interest is in the future because I am going to spend the rest of my life there.”

When we look at data and analytics, we’re focused on the past. How did we do last quarter? What happened H1 2019? And how does that compare to H1 2018? How well did landing pages X, Y, and Z convert last Monday at 1:03 p.m.? (I’m kidding, I’m kidding.)

Data becomes more valuable when we use it to predict the future instead of just analyzing the past. That’s where propensity modeling comes in.

Keep reading

Form Analytics: What You Can Track and How to Track It

You spend plenty of marketing dollars trying to get someone to your form. But how much goes to waste at that stage? According to data from Zuko, roughly two-thirds of those who start filling out a form never complete it.

Why? If you’re not tracking form analytics, you don’t know. The data between a pageview and a form completion (or abandonment) is missing.

Keep reading

Apply for the Turning Data to Insights sprint

Join this 6-week live, interactive training program to learn how to extract the right insights from your data, so you can take data-informed action.

Apply now

We’re running the CXL Sprint program in three other disciplines:

  • CRO program management
  • Growth experiments
  • Differentiation

Sign up here to stay updated with upcoming program dates and enrollment info.

Categories