Top 5 Google Tag Manager Mistakes | GlowMetrics

Jun 24th 2016

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3 min read

Posted by Michael Wilson

Top 5 Google Tag Manager Mistakes

Google Tag Manager is a really useful tool – it’s allowed us to help our clients get more out of their analytics implementation and has allowed their marketing teams to take...

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Google Tag Manager is a really useful tool – it’s allowed us to help our clients get more out of their analytics implementation and has allowed their marketing teams to take more responsibility for tagging campaigns, taking the strain off IT departments – and while it’s made a lot of lives easier, it can be quite daunting at first and there’s definitely a steep learning curve.  Below we’ve listed the Top 5 Google Tag Manager mistakes we’ve come across – they’re quite simple things when you’re working with GTM every day but they’re much more common than you might think!

1) Adding the GTM code and setting up your GA tracking tag but not removing the hard-coded GA code

Google Analytics and Google Tag Manager code at the same time.
The result? Double-counting every single page-view across your site.

Yes, there are some scenarios where it might be easier to leave your GA code as it was (for example, if you have a lot of customised code on-site) and add GTM for additional tracking but this is rare; it’s better to do everything through GTM if possible. Whatever you do, don’t send two pageviews when there should only be one!

Tip: use Google Tag Assistant to check your implementation.

2) Typos when entering your UA number in the tag configuration
 This is surprisingly common and will cause you to send data to someone else’s GA account – big no no! The easiest way to avoid this happening is to simply create a ‘Constant’ Variable for your UA code and then just select it from the drop-down each time. That way there’s no chance of entering it incorrectly.

constantvariable

3) Not setting your firing rules tight enough!
Sometimes we see configurations where *every single click* is being registered in Google Analytics as an event.  Not only is this absolutely pointless, it’s a sure fire way to hit your data limits within GA and cause your data to be sampled. Not good.

Make sure when you set a firing rule, don’t just check that your tag fires when you want it to – double-check that it’s not firing when it shouldn’t!  Always use GTM’s Preview & Debug mode to understand what’s firing and when.

debug

4) Creating multiple tags when one will do
You might have a number of button clicks or link clicks you want to track – for example, a number of downloadable .PDFs – there’s no need to have a tag for every single button or click if you can capture all of the clicks with a single tag, using a variable to distinguish between the clicks.

pdf
For example, if you want to track .PDF downloads as a GA Event, just set your firing trigger to fire on Click URLs which end with “.pdf”, then set your Event Label as the Click URL!  This will send your Event to GA with the URL of the PDF the user clicked on, it’ll track every single PDF across your website and you’ve only needed one tag to do it.  In a number of scenarios, there’s often a way to track common actions site-wide using one tag by utilising variables in your Event Actions or Labels.

5) Forgetting to publish your changes!
publish
A really obvious one but you’ll be surprised at the number of times we’ve seen new tags added without publishing the changes. If the changes aren’t published, then your new tags aren’t live on your site. Makes sense – and it only needs a button click – but it’s very easy to forget once you’ve done the hard bit.

Hopefully you’ve managed to avoid these mistakes! Have you come across any other common GTM setup mistakes? Let us know in the comments below – and if you have any questions about your GTM setup, feel free to get in touch.

 


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GlowMetrics

Posted by
Michael Wilson

Michael is the Digital Analytics Director at GlowMetrics, implementing complex tracking for our largest clients via Google Tag Manager while leading our wider analytics work across Google Analytics, Data Studio and Optimize
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