Adobe Analytics vs. Tealium Customer Data Hub

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Adobe Analytics
Score 7.4 out of 10
N/A
Adobe acquired Omniture in 2009 and re-branded the platform as SiteCatalyst. It is now part of Adobe Marketing Cloud along with other products such as social marketing, test and targeting, and tag management. SiteCatalyst is one of the leading vendors in the web analytics category and is particularly strong in combining web analytics with other digital marketing capabilities like audience management and data management. Adobe Analytics also includes predictive marketing capabilities that help…N/A
Tealium Customer Data Hub
Score 8.2 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.N/A
Pricing
Adobe AnalyticsTealium Customer Data Hub
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Adobe AnalyticsTealium Customer Data Hub
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Adobe AnalyticsTealium Customer Data Hub
Features
Adobe AnalyticsTealium Customer Data Hub
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Adobe Analytics
8.6
Ratings
7% above category average
Tealium Customer Data Hub
-
Ratings
Lead Conversion Tracking8.40 Ratings00 Ratings
Bounce Rate Measurement8.30 Ratings00 Ratings
Device and Browser Reporting8.70 Ratings00 Ratings
Pageview Tracking8.90 Ratings00 Ratings
Event Tracking8.90 Ratings00 Ratings
Reporting in real-time9.30 Ratings00 Ratings
Referral Source Tracking8.10 Ratings00 Ratings
Customizable Dashboards8.30 Ratings00 Ratings
Tag Management
Comparison of Tag Management features of Product A and Product B
Adobe Analytics
-
Ratings
Tealium Customer Data Hub
8.2
Ratings
1% below category average
Tag library00 Ratings9.00 Ratings
Tag variable mapping00 Ratings8.00 Ratings
Ease of writing custom tags00 Ratings8.00 Ratings
Rules-driven tag execution00 Ratings9.10 Ratings
Tag performance monitoring00 Ratings4.30 Ratings
Page load times00 Ratings8.90 Ratings
Mobile app tagging00 Ratings8.00 Ratings
Library of JavaScript extensions00 Ratings9.90 Ratings
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Adobe AnalyticsTealium Customer Data Hub
Small Businesses
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Score 9.0 out of 10
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Score 8.6 out of 10
Medium-sized Companies
Optimal
Optimal
Score 9.0 out of 10
Bloomreach - The Agentic Platform for Personalization
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Enterprises
Optimal
Optimal
Score 9.0 out of 10
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User Ratings
Adobe AnalyticsTealium Customer Data Hub
Likelihood to Recommend
8.7
(0 ratings)
8.3
(0 ratings)
Likelihood to Renew
9.4
(0 ratings)
9.2
(0 ratings)
Usability
7.0
(0 ratings)
9.0
(0 ratings)
Availability
8.1
(0 ratings)
9.0
(0 ratings)
Performance
8.0
(0 ratings)
9.0
(0 ratings)
Support Rating
3.6
(0 ratings)
8.6
(0 ratings)
In-Person Training
1.1
(0 ratings)
-
(0 ratings)
Online Training
7.0
(0 ratings)
8.0
(0 ratings)
Implementation Rating
8.1
(0 ratings)
10.0
(0 ratings)
Configurability
-
(0 ratings)
10.0
(0 ratings)
Ease of integration
-
(0 ratings)
10.0
(0 ratings)
Product Scalability
10.0
(0 ratings)
9.0
(0 ratings)
Vendor post-sale
-
(0 ratings)
10.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
10.0
(0 ratings)
User Testimonials
Adobe AnalyticsTealium Customer Data Hub
Likelihood to Recommend
Maybe for a small company with small products for their thing, Adobe may be bit of an implementation too much for them, but when it comes to companies like us, like a life sciences or large enterprises and even small enterprises, but with more products, more analysis that they need to make their marketing experience better, maybe Adobe product is the best suitable.
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Definitely in highly regulatory verticals. Tealium Customer Data Hub has the edge compared to its competitors when it comes to working in those spaces. I would also recommend it for marketing teams who have some IT support, but not a huge tech team that is able to support them in some sort of custom integrations. But are looking to quickly stand up a tool and start seeing returns quickly.
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Pros
  • eVars (love, wish there was more but I heard they are unlimited in AJA)
  • Projects. The transition from Reports to Projects was easier for me to navigate than I thought it was going to be.
  • Adobe Templates. Again with the love. Nothing helps me more than copying a template and then deconstructing it to see how it works and reconstruct to how I want it to be.
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  • 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.
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Cons
  • Our site has about 250,000 definitions pages on dictionary.com. We've got about 150,000 synonym pages across the source.com. So very high volume of pages. As you can imagine, most of these are pretty low traffic. You've got maybe that top 5%, 10% are really driving a huge amount of traffic, but then you have all these really obscure things out there. There's still a lot of important information you can get there and oftentimes in our Adobe Analytics reporting suite, it'll kind of bundle things at low traffic at a pretty low threshold for us to get to. So that can be a limitation when we're trying to do some really detailed keyword analysis. The way we've gotten around that is we make use of the data feed and the export. So we make the data available to our analyst in more of that raw state. So when they really do need to truly get into that weeds data, we don't run into that low traffic limitation.
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  • 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.
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Likelihood to Renew
  • New pricing models are very expensive compared to old pricing model, even though it includes several additional tools, most of which seem to be beneficial
  • Horrible support experience despite working with escalation teams to try and resolve
  • Several bugs in recent releases which remain unresolved for many months at a time
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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.
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Usability
Sometimes the processing times are very long. I have had reports or dashboards time out multiple times during presentations. It could be improved. It is understandable since there is a huge data set that the tool is processing before showing anything, however for a company that large they should invest in optimizing processing times.
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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.
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Reliability and Availability
I do not ever recall a time when Adobe Analytics was unavailable to me to use in the 8 or so years I have been an end user of the product. My most-used day-to-day analytics tool Parse.ly however, generally has a multiple hours planned offline maintenance every two to four weeks, and sometimes has issues collecting realtime analytics that last anywhere between 15 minutes to an hour, and happen anywhere between 1 to 5 times a month.
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It's been flawless as far as I am concerned.
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Performance
Overall, Adobe's servers seem responsive. Like any
large-scale SAS provider, they can have occasional slowdowns where, I
presume, a node is not available and other servers get bogged down with
the user load. I have noticed this with both large and small data sets
and reports.
On that note, Adobe Analytics can take a long time to run reports and pull various data points, depending on the period of time, number of metrics and segments applied. As you create reports, particularly in Workspace, the data are pulled in real-time while you're creating the report. This can often cause issues while trying to drag more metrics into the interface when certain elements of a table are grayed out because data is being pulled in.The more data points and segments involved, the longer it takes to update. When you look at larger windows of time, it takes even longer. If one were to compare to Google Analytics or one of the open source products like Piwik or Motomo, Adobe seems much slower. However, Adobe also supports far more variables than other web analytics products.
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Great user interface. Easy to use. Very responsive.
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Support Rating
I barely see any communication from Adobe Analytics. The content on the web is also not that great or easy to read. I would recommend a better communication about the product and the new addons information to come to its user by a better mean.
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No vendor has ever delivered the level of support that we regularly get from Tealium. Whenever we run into an issue, we submit a ticket and always hear back within a few hours (or sooner based on the urgency noted in the ticket). Tealium support often helps me to customize the tags or pixels we set, they help to solve problems such as "Why did data suddenly stop being collected?" and more.
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In-Person Training
It was a one-day training several years ago that cost the organization several thousand dollars. There were only about 10 people in the training class. Adobe tried to cram so much information into that one-day class that none of our users felt like they really learned anything helpful from the experience. Follow-up training is too expensive
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No answers on this topic
Online Training
The online training for Adobe SiteCatalyst consists of short product videos. These are ok, but only go so far. For a while Adobe charged a fee for this, but recently made these available for free. There are many great blog posts that help users learn how to apply the product as well.
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Did what we needed to onboard us onto the platform
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Implementation Rating
It is a large effort to implement. Throwing a developer with zero experience with Adobe Analytics with no support is a REALLY BAD IDEA!!! Having experienced developers working as a team is crucial to a strong implementation. I say this because I have experienced both scenarios. I was the only developer on an implementation project and I had no experience with Adobe Analytics. As a result I made many architecturally bad decisions which lead to a rigid fragile implementation that eventually was scraped. It took some hard lessons to learn that Adobe Analytics was not as simple as their sales reps make it sound. Using the Adobe Dynamic Tag Manager made sequential implementations incredibly STRONG. Having a DTM to manage the code was a miracle and a life saver!!! If you plan on doing a big enterprise level implementation, please seriously consider using the Adobe Dynamic Tag Manager!!! it made code maintenance super slick and easy which is super important for a developer!!!
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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.
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Alternatives Considered
Historically I've looked at a lot of different products. More recently I'd say Mamo and Google Analytics. Those are probably the two big ones that I've seen around, so yeah. It's more feature rich. It provides more dimensions, more breakdowns, and it also scales data better
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All of these products they have the final usage of these technologies is all of the times around using Insider. For example, you have a CDP capability, but in order to activate to their own digital channels like WhatsApp or SMS or personalization on site, and you have other technologies that do the same and Tealium what makes different, it's all about the data. They are very neutral and it's the main difference between Tealium and the other technologies.
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Scalability
My organization uses Adobe Analytics across a multitude of brand portfolios. Each brand has multiple websites, mobile apps and some even have connected TV apps/channels on Roku and similar devices. Adobe can handle the multitude of properties that have simple, small(ish) websites and the larger brand properties that include web, mobile and connected TVs/OTT devices.
Each of those larger brands has multiple categories and channels to keep track of. We can see the data by channel/device or aggregate all the data together. This gives our executive teams the full picture and the departmental teams the view they need to see their own performance.
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Never had an issue, scales as we use it.
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Return on Investment
  • Adobe Analytics impacts nearly every aspect of a billion plus dollar revenue eCommerce business. From measuring the impact of new build features to marketing campaigns.
  • We are saving substantial money and resource effort by consolidating all of our properties to Adobe Analytics from alternative solutions, at which point we will finally be able to report on Total Digital, rather than disparate reports.
  • We support experimentation on every platform and the performance is only known through Adobe Analytics tagging.
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  • Return on investment is always questioned at our company across our Tealium Customer Data Hub suite. How can we trace back that ROAS has improved because we integrated a new connector through Tealium Customer Data Hub. I think knowing that would be helpful.
  • Since we have a small team with limited resources, Tealium Customer Data Hub has been really helpful in adding tags/connectors with ease. This in turn, has allowed us to have more time working on things outisde of tagging.
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ScreenShots

Adobe Analytics Screenshots

Screenshot of the Alert Builder in Adobe Analytics.Screenshot of an Analysis Workspace Training Tutorial in Adobe AnalyticsScreenshot of attribution in Adobe AnalyticsScreenshot of the Segment Builder in Adobe AnalyticsScreenshot of anomaly detection in Adobe AnalyticsScreenshot of the Alert Builder in Adobe Analytics

Tealium Customer Data Hub Screenshots

Screenshot of Data Supply ChainScreenshot of Data LayerScreenshot of Connector MarketplaceScreenshot of Live Event TrackingScreenshot of AudienceStream Dashboard