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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Tealium Customer Data Hub
Score 8.4 out of 10
Enterprise companies (1,001+ employees)
The Tealium Customer Data Hub powers capabilities across the data supply chain. Tealium universally collects customer data from any source including; websites, mobile applications, devices, kiosks, servers, and files. Data collected is then standardized in the data layer, which drives usage of data for customer engagement and analysis.
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.
For more suited, I'll say highly regulated industry around data like healthcare, insurance, finance, where Tealium can be very helpful and for clients that don't have much different channels where they interact with their clients. So companies that only sell on internet and are a small company, I can see Tealium being the best usage for these clients, for these companies.
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.
Simple tag management that is tough to beat. So many solutions that are incredibly simple to setup and gather data for.
Security around the data is key and Tealium excels in this area.
The speed impact of the tag setup is key to optimizing and allowing our web properties to run more effectively, which is a better experience for the end user.
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.
Audiences—don't they technically exist in Tealium? They are just streamed—no count, no backfill, etc.
Working backward to identify issues involves lots of clicking in the UI, going from audience to audience attribute, badge to event attribute, and so on.
You have to wait for a Real-Time event to see the payload. There is no sample or other option.
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
I already know that my company has no plans to discontinue use of Tealium. We are heavily reliant on it due to a huge number of product teams and developers we would have to work with to place tags across many pages. Tealium is already there on the pages, and our application/product teams are familiar with how to integrate it. It is just the simplest way to ensure that new data requirements are implemented in a timely manner.
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
Tealium iQ Tag Management System does exactly what it is intended for, it manages vendortags. Changes can be made to websites and apps in minutes. The frontend is well structured, updates are easy to carry out, and Tealium support is available at all times.
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
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.
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 support team often is so quick to respond and so helpful when it comes to working with the needs of my clients and being able to resolve potential shortcomings or technical issues or surrounding the tool. There have been times more recently that I’ve gotten more generic service rather than the tailored experience that I have come to expect.
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.
Implementation had some bumps in the road and it was new for all of us, but for the most part, it was easier than many other implementations we've done with other technologies.
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.
Tealium Customer Data Hub can do it all in one. Whereas, I think by using multiple Tealium Customer Data Hubs, we can utilize what each tool is really good at. In an ideal world, we'd like to use Tealium Customer Data Hub for everything, but one thing that we struggle with is Audience Segmentation, and we are looking for a one touch solution, without a lot of the work since the data is already there.
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.
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
There has been a near immeasurable return on customer data and improvement of our quality for our physical products due to be in tune with the customer. This has changed our way of doing things for the better to gain a better flow and overall workplace experience.
A negative is that Tealium AudienceStream becomes harder to manuever and use data analytics for when a database has been existing for a fairly large amount of time. It goes from an agile ship to a huge vessel that takes many components to be able to move.
