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Digital Analytics

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

The Complete Guide to Google Tag Manager

Google Tag Manager (GTM) allows your team to collect data essential to making smart marketing decisions.

Understanding the benefits of GTM and how to properly utilize it can be a challenge, so we’ve put together this guide as a reference point. You’ll learn how to set up your own account and get the most out of it.

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The Definitive Guide to Google Analytics 4

Google Analytics 4 is the next generation of Google Analytics. For the first time ever, Google has rebuilt it’s platform from the ground up, transforming how data is collected to deliver holistic measurement across websites and mobile apps.  

Unlike previous upgrade iterations, GA4 is a brand-new product. This means starting afresh, with a new learning curve to navigate.

In this guide, we’ll cover everything you need to know about GA4, including how it differs from UA, why you should use it, and how to get started. We’ll also delve into some of the platform’s new reporting features to demonstrate how it can help you learn more about user behavior. 

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Conversion Rate Formulas to Accurately Calculate Growth

Conversions are crucial to your business. But a good conversion rate doesn’t always mean more sales.

The magic of a conversion rate formula lies in gleaning marketing insights. It’s a window into what’s working and what isn’t so you can test, optimize, and improve.

In this article, we’ll explore how to calculate conversion rates and its application across different channels and customer journeys. We’ll also dive into the relationship between conversion rate and profitability and how to leverage your conversion rate formula to drive optimization efforts.

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Segment vs Mparticle

As is tradition with our other tool comparisons, this is not a dry feature-by-feature comparison of Segment and Mparticle. We won’t proclaim one is the ‘best’ customer data platform (CDP) for which every business, including yours, should use. Many factors, including your budget, company size, and current data workflow, will determine if either platform is the right fit. 

If you need a line by line feature breakdown, a quick Google search will serve you best in that case. 

Instead, we’ll be covering the core use cases that customer data platforms address and explore whether Segment or Mparticle ultimately deserves a spot in your tech stack. 

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3 Smart, Sustainable Ways to Monitor Your Organic Search Rankings

“Why don’t we rank first for [keyword]”? Every SEO analyst gets this question. And every business investing in SEO uses keyword rankings to judge performance.

Despite the flood of “organic rankings are dead” articles in recent years, I have yet to see a single business or agency that has given up on tracking keywords.

So are all those articles wrong? Or is everyone paying attention to the wrong metric? What makes sense when it comes to rank tracking in 2021 and beyond?

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Combining All Your Funnel Data into One Sheet

Like many young SaaS startups, we had no shortage of marketing and sales data, but it wasn’t easy to comprehend. The information was there, but it was scattered all over the place. 

Some bits and pieces could be found in Google Analytics, while other data was stored in BigQuery and ProfitWell. This arrangement made it challenging to give a quick answer to basic questions on user conversions or to comment on traffic rates and MRR. It wasn’t until we began creating custom dashboards to visualize our data that everything started to click. 

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Product Analytics: A Comprehensive Guide

According to Amplitude, product analytics “show you who your users are, what they want, and how to keep them.”

I remember the first time that a client told how they were able to increase their sign-up rate for their product by 22% while reducing their marketing costs. The secret to their success?

They simply used their analytics data to make informed decisions.

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Model Building from the Ground Up

After receiving a $500k budget increase, someone in the C-suite must decide where to allocate these funds: remarketing budget, R&D, events, website redesign, etc.

What should they do? Do they need more information to decide? Even with new information, will that clarify the percentage allocation of funds?

As consumer needs and technology become increasingly complex, so too do the decisions. Modeling is critical for complex decision-making. Relying on intuition alone can set you up for failure.

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Pitching a Data Strategy? Here's How to Ensure the C-Suite Says “Yes.”

Are you a CMO who thinks accurate attribution is a pipe dream? Or a customer experience director who has to hack together data to create something resembling a customer journey?

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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.

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What’s on my mind

Hi, I'm Peep Laja—founder of CXL. I'm a former champion of optimization and experimentation turned business builder.

I do a lot of thinking, reading, and writing around business, strategy, and optimization. I send a weekly newsletter with what's on my mind on this stuff.

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