Azure Anomaly Detector vs. Google Tag Manager

I have found Google Tag Manager as the go to solution for managing all of your event and conversion tags for your website. Not only does it make it easy to manage all of your tags in the one place, it is fairly intuitive to use and there is plenty of videos and help documentation online to help set up what ever you need. No scenarios come to mind at the moment on where it is less appropriate to use.

Incentivized

• Selecting elements on a site [object, class, cookie, etc] (to later fire an event, send some data, etc) is very easy with triggers. Want to add an event when someone clicks on a button? Super easy. It was many many DOM selectors and you can even add custom functions if you need to do something more specific
• In general, firing events in different circumstances is very easy mixing triggers and tags. You can track almost any element of the DOM and do whatever you want with it.
• Testing is a great functionality. Only you can see what's on the site and you can debug it easily by seeing which events or tags were triggered and all the DOM elements involved (and why they matched the trigger).
• Working in environments (staging, production) and versioning is easy to do, deploying changes in 2 clicks.

Incentivized

• There are several good integrations, but there can always be more. Native tracking for call tracking solutions, analytics providers, non-Google advertisers would be top of my list.
• Documentation is just dreadful. Luckily there are some awesome folks out there doing crowdsourced tutorials (shout out to Simo Ahava) but by and large the Google Tag Manager instructions are worth what you pay for them.

Incentivized

I haven't found another option for us to use especially one that is free. Down the road we may go a different route but for now GTM is a good option and does what we need it to do. It'd be nice to get more support or more integrations but with the free version there's only so much one can expect to get I suppose.

Incentivized

No difficult obstacle to overcome but Google Tag Manager can still be difficult for many users to deploy. Sure the basic HTML script can be deployed quite easily, but when you start to require triggers, variables, etc, it can be a little daunting.

Incentivized

GTM does not provide support. This is one of GTM's biggest issues but it's due to the level of customization for each website. If your team thinks they would heavily rely on the need for a support staff it is probably better to invest in a paid service with a team that can support your needs.

Incentivized

I thought there was a little bit too much emphasis on AdWords stuff, not enough on the generic application of GTM.

Planning and communication will help greatly with an in-house implementation. If there are large teams, try to limit the number of people involved to 1-2 developers (back-end dev may be necessary depending on your platform), one analytics marketer and one project manager.

Incentivized

We moved to GTM from a standard Google Analytics implementation. GTM is much more flexible and easier to make changes, especially as the changes relate to multiple sites and environments. While there is a learning curve when figuring out how to use GTM, I believe the change has been worth it because it helps us understand at a more fundamental level how our tracking works and gives us a lot more control over what we track and how.

Incentivized

• GTM is very useful to determine if a particular element on the site is useful (i.e. is it being watched, is it being clicked, does it help customers navigate through more pages). As an SEO person, I can use this information to decide what to optimize for but also to track progress and see improvements in engagement.
• With the use of Google Tag Manager, I was able to easily inject an A/B testing tool which lead to several improvements in lead generation.

Incentivized