Google Tag Manager vs. Piano Audience

I use Google Tag Manager (GTM) daily and create tags/triggers for all of our client's websites. It is easy to set up but for some of my tasks, the process does get repetitive so it'd be nice to have a default setting I can use when I have to create accounts, and then tweak/add things to them as needed. It is a great way to collect data and have code on the site without having to log into the site builder all the time. It makes it convenient to make edits or add code after our client's sites go live with us.

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Depending on the user segment created, it allows us for example to use the recommendation engine pop-up feature among other alternatives, it can also take effective action for media sites, such as in-site migration promotion and member registration/campaign recommendation. According to the user access record measured by Cxense tag measurement.

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• 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.

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• Provides a better understanding of customers
• It is based on highly impressions data from online advertising channels

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• 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.

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• Data may be collected incorrectly.
• Some of the derivations of user behavior may not be exact.

Google Tag Manager makes tracking traffic to our websites effortless, which enables our developers to focus on other tasks. Setting up a new instance takes only minutes and additional scripts can be added/modified without touching the source code of a site in production. This enables our marketing directors to coordinate tests and experiments with minimal effort.

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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.

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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.

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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.

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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.

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It allows users to manage and analyze large volumes of information, The learning technology is automatic, the types of audiences can be classified. it is a very good business solution for our marketing department, The DMP acts as a true management center, we have obtained a good Simplification and unification of data

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• 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.

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• With the recommendation engine feature, we were able to improve the way related articles are displayed at the end of articles on media sites.
• The CTR increased from 4-5% to 5-6%, and since it was originally a large-scale site, even a 1% improvement resulted in a large increase in PV.
• In some cases, the pop-up feature was able to increase the number of members acquired through the campaign by approximately 15% compared to the previous campaign.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info