Adobe Dynamic Tag Management (DTM) was a tool used by marketers to manage tags, and for collecting and distributing data across digital marketing systems. Adobe DTM is a legacy, and it will not receive feature updates. Adobe invites users to upgrade to Launch on the Adobe Experience Platform.
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Google Analytics
Score 8.3 out of 10
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Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.
Google Tag Manager is free software from Google that allows you to deploy many different types of tags quickly and easily without utilizing web developers. Dynamic Tag Management, on the other hand, can only be acquired if you purchase an adobe solution. It too allows you to …
Adobe DTM provides a more secure data analytics solution. It is customized and best used on large scale deployments of websites with pages 10,000+. The Adobe Analytics tool, once learned, is very easy to use and provides more robust, customized graphics and ability to export …
Since we are using it almost exclusively with the implementation of Adobe Media Optimizer, we have not considered using a different tag management software.
If you're on the Adobe stack at all, you absolutely need DTM. It will make your life infinitely easier. It's so simple to update your Adobe Analytics code and have version control, and when we implemented Adobe Target, it took literally less than 15 minutes for me to do. I also think it's significantly simpler than Google Tag Manager. I went through all manner of difficulty when implementing tags on that and have not had similar problems on DTM. If you're frequently placing pixels, it's a great tool that will speed their deployment. The only situation in which I think a tag manager is not appropriate is if you have a dev with too much time on their hands. Otherwise, get a TMS and get DTM.
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.
It is a rules based tag management system that allows the application of tracking pixels much easier than hard coding.
By placing 2 pieces of code on the top and bottom of each page of a website, we can create rules that track certain events and relay the information back to Adobe Media Optimizer and Google analytics.
It has simplified the coding process so one doesn't have to generate tons of gory javascript to deploy on each individual page to get tracking.
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.
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
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
Although it is a newer product to Adobe, they seem to truly care about our challenges and are very proactive in making sure that we have the most knowledgeable support available in a timely manner.
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.
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.
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.
Adobe DTM provides a more secure data analytics solution. It is customized and best used on large scale deployments of websites with pages 10,000+. The Adobe Analytics tool, once learned, is very easy to use and provides more robust, customized graphics and ability to export data to "securely" via FTP from the cloud to SQL database.
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.
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
The key factor is that my devs are not tied up with petty things like adding JS or advertising pixels. Simple work like that can be handled by me while they work on feature development.
Release cycle is much shorter when a dev is needed, say for a direct call rule that involves JS being written. We don't have to go through the normal release cycle and can do it on an ad hoc basis without all the rigmarole of a hot fix.
