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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Crazy Egg
Score 8.0 out of 10
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Crazy Egg is a heat map web analytics product.
$24
per month
Google Analytics
Score 8.2 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.
I'm an advanced user of Google Analytics and have used their 'In Page Analytics' reporting before quite a bit. Google Analytics has one advantage in this regard, in that the click maps within these tools are integrated into all of the other metrics which GA provides. That said, …
Google Analytics has its place and is very useful but Crazy Egg provides that extra visual benefit that makes the analytics easy to understand for everyone involved.
Google Analytics offers features similar to Crazy Egg, but Crazy Egg's heatmap takes it over the edge. The heatmap goes beyond what a click-log offers by offering a big-picture view of user behavior.
Crazy Egg is much better than Google Analytics at user experience analysis and making real, practical improvements to the website, but falls short on audience demographic information. We use both for different types of analysis. I prefer the user experience and ease of use in …
We felt that Crazy Egg is easy to set up and use when compared to other tools. Also, the pricing is affordable so we gave it a try and it works for us.
We selected Crazy Egg because it was cheaper and simpler to implement than other tools we evaluated. Other tools felt too complicated for the first step in heat mapping, but as a growing organization trying to learn more about our users, it felt like the optimal first step for …
I have not used another software all that similar to Crazy Egg. I find Crazy Egg to be a unique tool to incorporate into your analytics, though I have seen similar software out there.
There are a lot of tools with similar feature and closely equal pricing- This factor is the most confusing. As we need something for our website and not every tool has everything and it took time for us to understand this. We choose Crazy Egg for its ease of using and anyone …
Crazy Egg a bit low on features and has a not so friendly interface. But depending on the complexity of your team/projects/experience in digital marketing, it is a great place to start. It's budget friendly. If you have an advanced analytics or A/B testing solution it's a nice …
The company actually still uses Optimizely and Google Analytics as well. Optimizely works well with Crazy Egg because we can do beta testing not only to see if the conversion rate goes up (Optimizely), but also see how the user is interacting with the change (Crazy Egg). Google …
Crazy Egg is a heat-mapping program that shows where users are clicking on a page, even if there isn't a link. It's a great companion piece to Google Analytics, but I wouldn't use it as a one-for-one replacement. Together, they can provide a great deal of help. VWO allows for …
Handles the basics better with minimal training and investment, but falls short at optimization work. Google Analytics has remained the backbone of our web analytics work for a very long time, so it is a nice "default" option to always have present in our programs even if we …
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.
+ I strongly believe that this tool helps when a firm has good user count (depends on business model) as most of these tools are data friends. More data - more valuable insights+ Best fit if someone who is looking for deeper insights of individual page - Not suggested for very fewer visits of a website. Suggested toimprove better visit count
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.
Provides heatmaps that shows you the elements on your site that are and aren't performing well.
Provides scrollmaps so you can see how far down a page users are scrolling and which content never gets seen.
Screenshots show you how your website looks across a variety of different devices.
Provides a type of clickmap called confetti that enables you visualise clicks by segments - device, new/returning visitors, campaigns and other metrics.
The largest thing we've struggled with is the Optimizely integration. I've contacted customer service a few times to get it properly setup. Customer Service is always friendly and helpful; they provide clear steps to get it setup. Unfortunately despite clear instructions, they are tedious, and if not completed in the correct order, the integration with Optimizely does not work. My success rate with the integration is less than 55%.
It's a great tool considering how inexpensive it is. If used correctly and you have a plan for tracking your websites, this tool can make a world of a difference. If you are not going to sit down and take the time to make a plan for how to use this tool, I would say it is not worth your time. Yes, you can look at items on your website that need to be changed, but without a consistent plan, other important items that need changing can be lost in the mix. Make sure you have enough time and energy to invest in this and it will be well worth it
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.
Crazy Egg is extremely easy to set up and use, and very well done from a user experience standpoint. It is really helpful that I can give stakeholders access to the interface and get them interacting with it with minimal training. The A/B testing is the easiest I have ever used, with minimal performance impact to the website.
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
It's slow to post data, and slow to get a snapshot to finally be active (i.e. not pending). Not intolerable, but would be nice to see data within a couple hours. Often have to wait to the next day.
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.
I think support is an area where Crazy Egg is lacking. I would love to have a quarterly check-in with a Crazy Egg rep to understand what kinds of changes have been made to the platform and what is on the horizon. I also think a quick consulting sessions with a rep could be extremely beneficial, as I'm sure there are ways to use the tool that we haven't even thought about yet that would be extremely insightful for our team.
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 will say that I didn't evaluate or select Crazy Egg, it's been a legacy tool that has been at the company before me. Honestly, we're not even sure of all of the features/functionality that we can use. Me, as a UXR, I think there are some other tools that would help me more in gaining visibility into what our users are doing on our website. I've evaluated other tools that are more aligned with UXR. However, if we properly paired it with experimentation, this might be more of a valuable tool for us.
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.
Its reliability (not scaleability, as the question asks for, sorry) is pretty good but through our testing we know that some clicks do not get recorded. It doesn't bother us a lot because we look at the aggregate of thousands of visits, but we do know it misses things. As for scaleability, it's about right. You really don't want zillions of clicks per snapshot - the screen just turns to 100% dots and you lose the ability to differentiate different screen areas. We find that 25,000 clicks for a page gives us a really good view.
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.
