Google Tag Manager is a great way to scale the management of tracking pixels as your marketing needs and sophistication evolve over time. Google Tag Manager also excels when doing a Google Analytics install because it allows you to add custom event tracking consistently. We have built a custom GTM container that has all of our event tracking loaded in it so that we can get our clients consistent event tracking extremely efficiently.
While the Google Analytics Property is the main storage group (you only have one UA-ID per Property) you can use Goals to determine how effective your marketing, landing pages and others are performing. Furthermore you can add filters to keep your data clean while also assuring it meets various privacy laws like GDPR and CCPA.
Keep an eye on the MashMetrics blog for more topics like these. If you have any questions, you can leave a comment here or follow us on Linkedin and Twitter!
Understanding the performance of your data over a series of time is pretty much the most popular way we look at out Web Analytics, and most other digital data as well. Google Data Studio has many ways to slice and dice by date, check them out here.
As with all our DIY content, this started with a challenge on our team, we dug in, and are now sharing our findings with you!
We are now ready to start the data collection process. This quick post will show you step by step the best practices in installing Google Tag Manger (easier than you thought) for WordPress, Shopify, or any site. We will also detail the best ways to preview and test to make sure you are collecting accurate, actionable and accessible marketing analytics data!
Defining what metrics to watch to see how you are performing against your marketing goals in 2020 can be a challenge. It seems like thousands of metrics scattered around the galaxy for most marketing teams and even agencies. This post will walk you through our iron-clad process to start turning your data into dollars!
In order to assure an AAA implementation for every client regardless of size (at scale):
We created a series of checklists
We created a comprehensive Google Tag Manager container to speed up implementation while still offering the latest best-in-class features
We automated quite a bit with Analytics-Toolkit
To put a ring on it we created a Google Data Studio MashBoard to show it all off in an easy to use manner