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:
Marketers of all stripes are obsessed with tools.
This obsession has bred comprehensive lists of growth tools, SEO tools, and general online marketing tools. It is no different with us in conversion optimization. We nerd out on testing tools.
Though no optimization program has ever hinged on which tool you used, there are important distinctions between A/B testing tools—from the statistics they use, their price, and more.
One thing that is often either overlooked or misunderstood is the difference between client-side and server-side testing tools.
Every industry is plagued by myths, misunderstanding, and half truths. This is especially true in digital marketing, and conversion optimization is no exception.
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.
Five years ago, I was trying to build links—and failing. In fact, I was failing so hard that I had to work without getting paid while building only a couple of links a month.
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.
Anyone can create a product. That’s not the hard part. The hard part is selling the product.
That it costs five to seven times more to acquire a customer than it does to retain one isn’t entirely true.
The origins of this myth can be traced back to the 1980s when the Technical Assistance Research Project published research that stated the cost of customer acquisition was significantly higher when compared to the cost of customer retention.
Soon after the research was published, other institutions like the Customer Service Institute, Consumer Connections Corp., and ITEM Group all “found” similar data.
Video marketing is booming. It’s no longer news. Cisco predicts that, globally, video traffic will be more than 80% of all web traffic by 2022 (up from a prediction of 75% made in 2017).
Other recent reports claim a 17% leap in video content usage in 2018, with the average person watching more than 90 minutes of online video every day. In the same report, 85% of surveyed consumers said they would like to see more videos from brands.
However, simply creating videos isn’t enough. Content marketing in general—and video marketing in particular—needs strategic planning to work.
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).