In my daily work with ecommerce brands, I see two types of companies:
The second type is winning. Why?
Most hurricanes that reach the United States
So what does an afternoon rainshower over Cape Verde tell you about the next Category 5 hurricane? Often, little more than a form fill tells you about the potential for a five-figure sale months down the road.
With a single click, a user can destroy Google Analytics data: Moving from an AMP page to the main site or the main site to a payment processor can turn one visit into multiple sessions, mucking up source data along the way.
For many, Google Analytics 360 is a black box. Marketing and sales collateral from Google is spartan, and common refrains about key features—like unsampled data—seem unworthy of a six-figure bill for most sites.
In 2009, Netflix offered $1 million to anyone who could improve the quality of its recommendation engine by 10%. It took two years, but a team finally won. Netflix paid the bounty—then ignored the code.
Data is the life blood of any SaaS company. Data will empower you to make better decisions and help you grow faster. However, few companies make the most of their existing data or get access to the data they need.
In the world of data-driven marketing, more and more tasks require a bit of coding.
This post is not a dry feature-by-feature comparison, nor does it include a winner-take-all verdict. Your business won’t benefit from either of those things.
Instead, we’re comparing Mixpanel and Google Analytics in the terms that drive business growth—identifying the core use cases for each tool and the business problems they solve, while highlighting the features that make it possible.
You run an A/B test, and it’s a winner. Or maybe it’s flat (no difference in performance between variations). Does it mean that the treatments that you tested didn’t resonate with anyone? Probably not.
If you target all visitors with the A/B test, it merely reports overall results – and ignores what happens in a portion of your traffic, in segments.
It’s important to know the most efficient way to arrange your optimization team to ensure their productivity and yours.
But what’s the best way to structure your team? Should optimization folks be in a separate team? Or under product teams? Or marketing?
There’s several different ways, and choosing which one works best for your company can be challenging. Here’s a rundown of the frameworks, their functions, and the benefits and challenges of each.