Google Analytics vs. Google Tag Manager

Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.

Google Tag Manager is well suited when the marketer or marketing team does not work closely with the developers. In this scenario, it means that the marketer can deploy 3rd party tools such as live chat widgets, advertising pixels, and much more themselves in a timely manner. Google Tag Manager may be less relevant in an organization where the marketer is also the developer or has a strong development background, where they can implement the 3rd party tags directly on the site when they need. But even in this instance, there's still great benefit in using Google Tag Manager.

Incentivized

• Multiple reports to see website use and behavior
• Allows you to customize reports with days, weeks, months, and years
• You can build out a dashboard to easily view stats from multiple websites in one place
• You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats

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

• Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive.
• Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful.
• Gotchas around filtering and data validation.
• Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics.

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

We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.

Incentivized

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.

Incentivized

Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements

Google Tag Manager is the definition of a learning curve. At the beginning, you can barely do the minimum and it can seem questionable as to why you would use it. However, as users begin to learn its offerings and see how it can do much more, they will have a moment where GTM becomes a tool that empowers their ability to track and efficiently collect data for important business questions.

Incentivized

We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.

This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics

The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.

Incentivized

It depends wether you are seeking official support from Google itself, in which case it would be rated very low because it's not their business model, they would rather have you work with one of their Google Analytics Certified Partner (GACP). In terms of self-served support, Google offer extensive documentation at https://developers.google.com/tag-manager/, recently revamped training (https://analyticsacademy.withgoogle.com/course05/preview), has active forums and user community (https://plus.google.com/u/0/communities/104865292981489764063) which can typically answer even the most advanced questions.

love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.

1. How to Use Google Analytics for Beginners – Mahalo’s how-to guide for beginners.
2. A beginner’s guide to Google Analytics – A free eBook walking you through Google Analytics from setup to understanding what data is being presented.
3. Getting to Know Your Google Analytics Dashboard – The title says it all! This is a brief post with one goal: to introduce you to the Google Analytics dashboard.
4. Google Analytics for Beginners: How to Make the Most of Your Traffic Reports– This guide doesn’t cover setup, but it does a great job of helping you to better understand the data being presented.
5. Google Analytics Video Tutorial 1: Setup – A video presentation that walks you through Google Analytics setup.
6. Google Analytics Video Tutorial 2: Essential Stats – A video presentation that introduces you to some of the most important data being presented in Google Analytics.

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

I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.

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

I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.

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

Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions

• It has helped us gain understanding of what is going on on our website.
• It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone).
• It has helped us understand our biggest avenues for bringing traffic to the website and business in general.
• It has helped guide our website redesign.

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