Adobe's Customer Journey Analytics is a service built on Adobe Experience Platform that lets the user join all data from every channel into a single interface for real-time, omnichannel analysis and visualization, allowing users to make better decisions with a holistic view of the business and the context behind every customer action.
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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.
It was really a choice between Google Analytics and Adobe. We compared the option, and because the team is already using the full Adobe Creative Cloud suite for development, we were able to get the support and partnerships we needed to convince us to go with Adobe.
The main reason to select Adobe Customer Journey Analytics was due to its ability to merge online and offline data to show some insights. We did not have this ability to view both of these datapoints combined in one report. It helps with better storytelling to our leadership …
I do prefer customer journey analytics to each of the platforms as used in the past given its simplicity and its potential in combining multiple environments and merging to a unified user
Adobe Analytics is limited to Web Data only. Adobe Customer Journey Analytics allows you to combine mutliple data sources and conduct analysis that otherwise would not be possible. Bridges the gap in data silos.
So far, it is hard to see the advantage of CJA over GA4. However I have not had enough experience and training yet to be sure. Also, we have not taken full advantage of CJA yet. Another tool we use is Microsoft Clarity, which (for a free service) is quite powerful.
One major reason is no one can beat adobe in customer service even if we have problem they are their to help you out immediately. The amount of features and the ease of using tool customer journey analytics provide is sufficient for my organisation as other platforms are bit …
Adobe Customer Journey Analytics is really well suited for large organizations with scale and a huge amount of offline/online data from various sources. However, for smaller/mid size businesses it may not be very efficient given the cost implications and dependencies around having AEP as well. There is an opportunity for Adobe to make this scaleable product more widely available but looking at options around how to make this product more mass-market.
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.
Customer journey analytics can be used to analyse data from a range of data sources and the data can be visualised, filtered etc. by users.
It also allows users to handle custom data to handle their specific needs and the data can be catered as per users need its like your own customised platform.
The best part is the integration users can connect this to various other platforms with one ID. This helps the user with easier usage and less hassle as everything is kind off a click away.
Journey Canvas UI, when using a mouse with scroll wheel, it defaults to zooming in or out of the map, and not up and down if the map is very extensive.
When trying to break down a dimension by a second dimension and third dimension. If you are replacing the 2nd dimension breakdown, it would be beneficial to keep the 3rd breakdown instead of wiping it out.
It's the most customizable and flexible analytics tool I've used. While the tool can be slow and clunky at times, the value it provides far outweighs those issues. Being able to bring offline data and merge with web data to combine in one place is where clients need to be get the most success out of their data
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.
The software is pretty easy to use, but if someone hasn’t really worked with similar software before, it can take a little time. We use simple searches to find help for specific tasks, and just make sure that when we have a newer person using the software, we spend sometime to help them understand it
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
For the most part, CJA is available. There are instances where the product is experiencing an outage but I haven't found this to be super frequent to the point where it really impedes my work
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.
Adobe Customer Journey Analytics is only as fast as the data that enters into it. If a business has Edge capabilities based on their use of Adobe's WebSDK, then all insights from the web data are in realtime. The moment this is stitched with batch data, such as the case in CRM data, then performance is slowed to the most latent performer. New methods of streaming in data from S3 or from more advaned data warehouses, such as Snowflake, are required in order to reduce latency.
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
Good enough tools and offline support. We had a model of "hypercare" that was mostly good, sometimes not good. But that was more personality/people based, rather than established processes. Overall the support was timely and effective
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.
Should be staged differently. It should be Do online stuff, get basic skills/qual. Then do "homework" type tasking, then come to class with an instructor. We got the traditional "start from 0, then step 1, then step 2..." training. This usually saps energy/focus. All training should be like a lab/practice session. If someone needs information or basic knowledge ... put it in a elearning, FAQ, job aid, or resource page.
Should have more of this for the 101-level stuff. No one needs a Zoom class covering the basics. I need a "guide on the side" when I'm learning new stuff. I want support while I practice.
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.
So far, it is hard to see the advantage of CJA over GA4. However I have not had enough experience and training yet to be sure. Also, we have not taken full advantage of CJA yet. Another tool we use is Microsoft Clarity, which (for a free service) is quite powerful.
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.
You have the ability to create 'user groups' with different levels of access in CJA. We helped set this up for a large organiztion where they had marketers, executives, devs and analysts all having different levels of access to use CJA but with the appropriate guardrails in place for each user group. It worked out really well for their organization.
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
Currently, the ROI is a bit extended as our use cases are a bit more complex than the average use case (but we are in active discussions with Adobe Product to improve)
The Adobe Customer Journey Analytics implementation has directly contributed to our company's ability to speak to enterprise orientation, we have seen customer omni-channel presence go up 5% in just one year
