Form submissions are one of the most common conversion actions on a website, whether for signing up for a newsletter, registering for an event, or submitting a contact request. These conversions are also often the key goal of email, social media, or other digital marketing campaigns.
Tracking form submissions is an important part of any digital measurement strategy, but as a result of the variety of available tools, plugins, and scripts for implementing forms on a website, there is no one-size-fits-all solution for tracking form submissions.
The promise of analytics is often that data holds the answers to many of our toughest questions, but only through applying the right tools and methods of analysis can we uncover those hidden pieces of insight. One such method of uncovering insights is data visualization—representing data in a graphic format to highlight particular patterns, trends, or relationships.
Just as approaching a problem from a different perspective can lead to observations and insights that were not apparent before, visualizing data in a different format can reveal patterns not easily noticed from a spreadsheet or text-based representation.
Eerie glowing jack-o’-lanterns, frightful costumes, ghoulish tricks and overflowing bags of sweet treats can make for some haunting good fun. Throw in goblins, witches and a heart-stopping scare or two, and you may just have yourself one wickedly happy Halloween!
In the spooky spirit of Halloween, here are our top spine-chilling ways organizations are creeping out and terrifying their website visitors and customers:
Designing a frightful website with:
Slow page load times (the agony!)
BOO! Lurking frightful pop-ups
and…poor navigation (the horror!)
Haunt & stalk your customer online with uncapped creepily personalized remarketing ads
I hear about Google Tag Manager all of the time, so to say I was intrigued to learn more is an understatement. While there are many myths and misconceptions of Google Tag Manager floating around, I was most interested in exploring the tool for three reasons:
Is it really easy to use? (I am not a developer)
How can it improve my analytics tracking?
How can a marketer (like myself) benefit from GTM without the need of support from IT?
Last week I had the opportunity to take the the two-day ClickInsight Google Tag Manager course in Toronto, instructed by Marc Soares & Max Bondarenko, and I certainly got more than I bargained for.
The fastest way to detect anomalous or interesting behaviour worth further investigation is to monitor ratios and percentages. Standard within Google Analytics are bounce rate, % new visits, % conversion, etc.
However, if you wanted to calculate other metrics like “Downloads per visit”, even if you had “Downloads” as a custom metric, you had to either (1) consume a Goal slot to get this ratio from the Goal Conversion rate, (2) write a small program to populate another Custom Metric, or (3) extract data into Excel to calculate your ratios and percentages. Groan!
No more groans!
Today, Calculated Metrics in Google Analytics has moved from Closed to Open Beta and is slowly rolling out through all accounts. Full instructions on how to set up & use Calculated Metrics are in this Google support article.