Optimizely Web Experimentation empowers teams to conduct experiments (without having to rely on developer resources) in order to test various user interactions, make website changes backed by data, and personalize customer experiences.
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Tealium Customer Data Hub
Score 8.7 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.
Whilst Optimizely is more expensive (for us at least) we found it was far technically superior and easier to use. We have not run into the technical constraints that we have with other tools. In addition when we went to market to evaluate different suppliers optimizely won …
We primarily selected Tealium IQ over Google Tag Manager as we had a requirement to utilize Tealium Audience Stream which required Tealium IQ. Overall, we have seen benefits from using Tealium IQ, such as performance improvement and easier integration of some third-party tags. …
This is our second testing platform, and is by far the best we have leveraged. Its intuitive in how you are able to build tests. Tracking is easy to set up within the visual editor or as a capability in URL tracking. The reporting tab does need more filtering capabilities for custom metrics.
Tealium Customer Data Hub is great for situations where you want to collect data from a front end data layer and then route it to multiple data tools, or if you need the ability to transform the values collected before sending. There is a tremendous amount of customizability. It has also been good for tag management of marketing/advertising tags/pixels, but could use a little improvement with regards to putting many tags on the same page. If your situation requires a lot of complexity to the marketing tags, it is still very possible to do with Tealium Customer Data Hub, but could be less complicated. Luckily, Tealium Customer Data Hub's support crew is excellent and really will partner with us and help us succeed.
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.
Hard to use extensions without some knowledge of HTML/CSS
Inconsistent user counts between GA & Optimizely when it comes to calculating MAUs, hard to be able to forecast budget and overages when our source of truth (GA) differs from our testing platform (Optimizely)
Impressions model doesn't support scaling personalization experiences - hard to run a serious data driven testing program when you have to cut tests short before 14 days (ideal length to get to any statistical read) in order to save on impressions
Tealium Customer Data Hub is powerful, but it has a significant learning curve. Users with JavaScript experience, developers (with a solid understanding of browser Dev Tools), and technical minded people will learn it more quickly.
Some of the documentation seems lacking. My biggest complaint is that the documentation may explain things, but often is missing clear examples. If I had some clear examples, I could possibly avoid opening tickets for tech support.
Because it's an incredible and essential tool for my line of work as a conversion optimization specialist. Really couldn't do my job nearly as effectively without it. It's paid for itself many times over and I feel like I'm only beginning to unlock the tools potential.
Tealium continues to impress us with their focus on innovation and continuous improvement. Their support team makes use feel as though we are their one and only client. They exceed our expectations from both a product and people perspective, so we have no reason to look elsewhere!
Usability is mostly great. I like the WYSIWYG functionality and adding in real code is simple as well. It's easy to target specific pages or audiences. I've knocked a couple of points off because of how difficult it is to set up URL redirect experiments, confusion around creating pages, and lack of data that can be further analyzed.
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.
I would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
Support team has always been great at addressing issues or questions, by providing answer or escalating it internally to the right individual. reply response time has been always reasonable. Some responses are responded with documentation doc but in some instances the question require a non-generic answer that can create a back-and-forth conversation.
The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
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.
Overall, the tools we compared against were great, but we went with Optimizely because it has all the features we needed and has the market leadership that gave us trust we would be successful in our experimentation efforts.
Tealium Customer Data Hub can use 1P IDs and that is the main reason we selected it. with hindsight it was a good choice in this respect Tealium Customer Data Hub can process and forward event data via api, which AAM cannot AAM connectors can be set up with a few clicks whereas Tealium Customer Data Hub connectors require support from an engineer aam machine learning tools infer a score after every event so can be used for onsite single session use cases, whereas Tealium Customer Data Hub ML infers at end of session, so is only really useful for paid media / retargeting use cases Tealium Customer Data Hub's visitor stitching approach is broad brush and irreversible; AAM allows you to merge customer profiles at your discretion depending on the use case
While granted, I am not the one making the changes to deploy the software; it seems basically as simple as placing the optimized snippet on your site. If you place it in the header, it should reach across your entire site easily. I do think the test setup can be a bit temperamental at times, and having too many cooks in the kitchen can lead to errors. So, I would caution how many people have the access needed to make actual changes.
Customer retention: We've reduced subscription service client churn by 20%+ using optimized unsubscribe flows.
Risk mitigation: Testing into full site redesigns has saved clients millions of dollars.
Feature prioritization: Identifying what painted door changes add value has allowed developers to focus on changes that add hundreds of thousands or even millions to the bottom line.
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.
