Overview
What is Adobe Analytics?
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…
Adobe Analytics for those deep in data.
Data handling and analysis tool with powerful analytics features
Intuitive Solution for Marketing Campaigns Data Analytics Generation.
The clue's in the name! Very much an "analytics" tool rather than the competitions' more basic "reporting" tools
A+ for Adobe Analytics
1. How visitors to our site behave on our site
2. If we spend $$ on ad campaigns, we need to see their effectiveness
3. …
Adobe Analytics Review
Adobe Analytics Review
Adobe Analytics Review
Adobe Analytics Review
Adobe Analytics Review
Adobe Analytics Review
Adobe Analytics Review
Adobe Analytics Review
Adobe Analytics Review
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- Lead Conversion Tracking (6)9.494%
- Pageview Tracking (6)9.292%
- Device and Browser Reporting (6)8.686%
- Bounce Rate Measurement (6)8.686%
Reviewer Pros & Cons
Video Reviews
12 videos
Pricing
What is Adobe Analytics?
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…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Alternatives Pricing
What is Google Analytics?
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.
What is Heap?
Heap is a web analytics platform captures every user interaction on web iOS with no extra code. The tool allows you to track events and set up funnels to understand user flow and dropoff. It also provides visualization tools to track trends over time.
Features
Web Analytics
Web Analytic features such as SEO tracking, user engagement tracking, pageview tracking, and behavior analysis.
- 9.4Lead Conversion Tracking(6) Ratings
This tool allows you to follow a user's path through your website until they complete a certain action, like making a purchase or signing up for a newsletter, enabling you to understand what leads to conversions.
- 8.6Bounce Rate Measurement(6) Ratings
This feature measures the number of users who visit only one page on your website before leaving, helping to identify issues with content quality or website design.
- 8.6Device and Browser Reporting(6) Ratings
This enables an overview of the type of devices or browsers users are using to access your website, helping in improving website design, usability, and visibility.
- 9.2Pageview Tracking(6) Ratings
A feature that records and provides data on a specific page's popularity and the number of times it has been viewed by users.
- 9.6Event Tracking(6) Ratings
This enables the tracking of specific actions or 'events' on your website, such as button clicks, form submissions, and engagement with other interactive elements.
- 8.8Reporting in real-time(6) Ratings
This feature provides immediate data and analysis about web traffic and user behavior, facilitating real-time decision making.
- 8.8Referral Source Tracking(6) Ratings
This feature tracks the original source of your web traffic, informing you where your users are coming to your site from whether it be through other websites, social media, etc.
- 9.4Customizable Dashboards(6) Ratings
This feature allows users to personalize their view of data and reports to focus on specific metrics that best fit their business needs.
Product Details
- About
- Integrations
- Competitors
- Tech Details
- FAQs
What is Adobe Analytics?
Adobe Analytics Video
Adobe Analytics Integrations
Adobe Analytics Competitors
Adobe Analytics Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(812)Attribute Ratings
- 10Likelihood to Renew42 ratings
- 8.3Availability12 ratings
- 7.9Performance11 ratings
- 6.7Usability33 ratings
- 3.8Support Rating41 ratings
- 7Online Training5 ratings
- 1.4In-Person Training5 ratings
- 8Implementation Rating10 ratings
- 9.9Product Scalability2 ratings
- 7.7Professional Services5 ratings
- 7.3Contract Terms and Pricing Model6 ratings
Reviews
(1-25 of 133)Analytics power house
- Pre-defined metrics
- Quick visualisations
- Drag and drop functionality
- Ability to build bespoke metrics and segments
- Exporting shouldn’t just be CSV
- Slightly more complex than Google Analytics
- Can be slow in loading large data sets
Adobe Analytics for those deep in data.
- Very flexible reporting in workspace.
- Flexibility in data structure.
- Flexibility in data allocation.
- Building advanced segments simply.
- Support
- Documentation
- Creating effective marketing data analytics.
- Migrating data through other tools.
- Workflow management.
- Data management.
- Not much just the configuration of some tools.
- Processing big data via poor machine.
- Creating big project data analytics as a new user.
The clue's in the name! Very much an "analytics" tool rather than the competitions' more basic "reporting" tools
- Usability of its Workspace module
- Ability to crunch large numbers without any sampling issues
- Reliability - very rarely does anything error
- Certain visual functionality is missing, especially when compared to Excel, e.g. in line graphs
- Looker's dashboards land better with clients due to their improved look 'n' feel
- For less experienced users improved on-page help and tooltips would be appreciated
However, regards the final reports and dashboards' look 'n' feel the Workspace PDF output is lacking visually compared to other products like Google's Looker. To engage with less technical end users sometimes Looker feels the better, more polished option.
A+ for Adobe Analytics
1. How visitors to our site behave on our site
2. If we spend $$ on ad campaigns, we need to see their effectiveness
3. Always looking for ways to improve our site so that we can get users into our funnel and convert them into custotmers
4. To ensure that our site stays complaint with data privacy
- measures KPI - and it's easy to interpret and understand
- i can easily customize my dashboard to focus on what i need to see at any given time
- if i'm running a promotion, i can see real time analytics
- i have not used cross-platform analytics yet - next phase
- somewhat costly, but i do understand the value
- some you tube tutorials were MUCH better than the adobe ones
Adobe Analytics Review
From an analytics standpoint, we're using Adobe Analytics in a few ways. One is tracking KPIs, tracking revenue, tracking performance. We have certain ads that are getting low viewability and we need to make some tweaks and adjustments on it. We also love to use our Adobe Analytics as just part of general research.
For the content team, it's often the case that there are stories within the data that we find. A really good example of that recently for us was we just had our Word Of The Year towards the end of last year which is always a fun time of year for us. And we chose the word "woman" as the word of the year. And the big reason we did was that we looked at the data and there were a few of these key events where the very definition of the word woman became a pretty major story. You know, a bigger one was Ketanji Brown Jackson, who was confirmed to the Supreme Court. Somebody asked her, "can you define woman?" She, in a legal context, didn't try to provide the exact definition. But when that happened, as a dictionary, searches soared, searches went over by a factor of about 14 what they usually are. We saw it happen a few other times in the year, too. Just related to certain events with trans rights being at the forefront of so many things. That definition of woman has really become this flash point. It did come down to the data for us because the more we looked at it, the more of an obvious pick it was. But we do love when we can do things like that. Oftentimes some really interesting stories surface just in the words that people look up and how those change over time.
- They've been really an industry standard tool in analytics for a long, long time. They've got the trusted brand and the reputation, a wonderful community behind it. It is always nice, having that level of support where you can meet other practitioners. It's a great benefit because I can meet other people who have already pushed the tool a lot farther than I have. And it's a great place to get ideas in that way. We came from a world where we were running on a homegrown system that we'd use to do click tracking. You get some advantages on that of the customization, but losing out on community of support was one of the big reasons why we decided to move beyond that and implement Adobe Analytics instead.
- 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.
So with using the tool, we love using it to spark ideas and to dig up ideas. It's testing our own performance. For example, we had to make some changes to our crossword last year, so we were keeping a very close eye on session duration and how long people were taking. And that time on duration, Adobe Analytics has it set up in the reporting. You can do it kind of bucketed into groups or you kind of run your straight average, which is helpful because that sort of data, you always have some wonky outliers that can skew it. So I find it really helpful to be able to show that distribution because if you take something like our crossword puzzle and games, that's something where we hope people can come play word games and learn, but obviously there are ads going along the side, too. We want to maximize that time. We use the tool to see if we've made these changes - is time going up or down - and we can adjust based on that.
Adobe Analytics Review
- Reporting-wise, I think Adobe Analytics workspace analysis is a very powerful tool in terms of reporting. It provides very good insights and this is well integrated with the other Adobe products like Target Audience Manager and the content creation. So it's a good product to use.
- Most of the problems that Adobe Analytics as of now is having, it is getting addressed in a newer tool called Web Desk DK from implementation. They are already addressing that issue with the new tool and also the time data with the customer general analytics. So there is something not in workspace analysis and this is what they're addressing in customer general analytics. Which is good.
Adobe Analytics Review
- It's very customizable, so that means that the depth of analysis we're able to make in Adobe Analytics, we wouldn't get anywhere near with Google Analytics or other solutions that say that they play in the same space.
- So the first con is that the experimentation reporting is sort of lacking, right? So it's just the very standard significance calculation, but you don't get to do the same thing for segments. So if you segment it, you will also segment the amount of users that entered that data. So we want to know actually from all of those, okay, what does this segment do? Not just reduce the whole result to that segment.
- The second one is that it's very complicated to implement custom tracking for each experiment. If you need that, you need to go back to the tag manager convince someone in there to put your tag and approve it and launch it. So customizability is a blessing and a curse.
Adobe Analytics Review
Right now there are some issues with it just released a little while ago, multifactor authentication for our account manager. So some folks were having issues with that the other day that it wasn't coming into their email. Then we had some issues in the code where we were locking them out of their account. So I actually talked to Adobe yesterday about it and they're going to get someone to come help us.
But just stuff like that, for example, are you a problem? Like that comes in because we see a dip or increase right? Rate of something, whatever we were tracking and we're like, okay, that's an anomaly, right? So we go to the Adobe Analytics tool, along with some of our observability tools to really say, okay, we're in the customer journey potentially, right? Is the error happening? What page were they on? Did they go somewhere after? Did they click around somewhere after? It gives us an idea of how to address those kinds of issues that sort of pop up.
- I would say as far as setting up dashboards, for me personally, it's pretty easy, but it does have a learning curve along with it. Once you do know where to find things and how to bring it to life, it just makes sense. After a minute you're like, okay, I realize that's why they have set up that way.
- I really like the feature of having its omni bug track tracking tool. You can be on your own website, and if you don't know what the tag is called or some of those kind of details that you need when you're building out dashboards, you can take a look and use that. That's a web add-on. So you have your page open, and as you're clicking around it's giving you that data on the right hand side of like, okay, here's the page name, here's the E V A R, here's the event. Like all those kind of things that come with analytics tagging. So I really like using that.
- I've given this feedback to them already, but I'm getting tasked with setting up executive dashboards and have become the go-to person to set up scheduled reports for our CIO, our CEO, and all the vice presidents. So one of our senior vice presidents challenged me to get them all in one email because they're getting probably 10 emails (or however many reports I have out there depending on the person). I was trying to set up some automation, and I ended up having to use a different tool, Microsoft Power Automate, to combine those links for those reports to click in there. There's no way in the tool that you can do those things. Sharing is not great in my opinion, and I've spoken to them about that and it sounds like they're coming out with some better sharing capabilities. So that would be my biggest thing is like AI automation and then how do I share this in a really efficient manner to executives that don't necessarily want to get 10 emails just from this in the morning when they already get a ton of other emails.
Areas where it's well suited: I think baseline it's a great product to just be able to create those dashboards, create those reports, collaborate with people. I do a lot of training for it and, you know, once it clicks, it makes sense. Like I mentioned earlier, it's all use case-based, right? I don't think I have a strong opinion on where it wouldn't be suitable I guess. People have a choice on what platforms they use today, so I mean, you can either use it or not use it, in my opinion.
Adobe Analytics Review
- It's very user-friendly. The drag and drop features are great. I really like how you can do the multi-panel stacks to create different views within the same workspace. I like that the panels can either have date ranges applied to individual ones or all of them. It's just easy to use. It's one of those where it's like kind of intimidating on the upfront and then you get in and once that bandaid rip goes away, it's like, "All right! This is actually very intuitive."
- We had actually can I share like an actual thing that happened? So we had a segment, again, a lot of our performance reporting we do out of Adobe and I do mid funnel, lower funnel me media specifically. And we have a whole set of segments down to like our sub-channel tactics. And because our agency kind of trafficked one of our M C I D tags wrong, we had to pull in placement IDs that were appended to the tags. And that number resulted in a lot of lines of like campaign code contains these 700 placement IDs. it was a giant segment, but the segment worked the day it was created for at least a year and a half, two years. And then one day it just broke. We couldn't pull multi-month data pulls out of Adobe using this segment. But it wasn't just like the date range was too long.
Adobe Analytics Review
- Customization. There's no limit to what you wanto to track. I mean you have a limited amount of evar so you have to be conscious about, what's worth getting. But I will say that you can just pick and choose whatever you think is important for your business.
- When I first started working on Adobe Analytics, I tried to use the trainings. There's a lot of information when you're new to Adobe. Some of those things are more about telling you what the product is, sounds more like a sales pitch. But when you're like, "tell me, how do I make a report?" I think that's a little bit challenging to find, but maybe I wasn't looking right. That's the challenge that I had with learning how to use it. And again, I guess it goes hand in hand with being customizable to the company, so you have to learn that.
If you don't have much to track, like if you're a small company and you just want to see that your website is visited, then don't spend that much money on Adobe Analytics.
Adobe Analytics Review
- The fallout reports. We can deep dive in to see where users are having issues on what pages so we can see exit rates and help to build a better customer experience on those particular pages.
- The flow reports, we can also do flow analysis on where users tend to navigate from the homepage and to see their full-funnel until they check out.
- We can get online experience and user behavior patents on websites and apps, but it doesn't stitch the data to something we want. We wanted to stitch the online data to in-store sales data or just the 360 view of customers is one of the lags and Adobe doesn't also have a DEXA analysis. It's more like heat mapping to see how users tend to navigate within the page. We use Adobe Analytics mainly for page loads and clicks on the website, but we don't know like zonings and things like that on the page.
- Adobe Analytics doesn't have the ability to integrate with other solutions, like in-house solutions, such as data platforms and data lakes, and where we want to bring in data into Adobe when it's a huge data set.
Adobe Analytics helps you to understand customer journey
- Superior data model
- Provide more comprehensive insights
- Allow limitless segmentation
- Its not that easy it needs support of experts
- It doesn’t track the apps on url base
Adobe Analytics helps you understand the Customer Journey
- Spliting visits by channels
- Splitting visits by devices
- Funnels based on various landing pages
- Forward flows
- dobe implementation has always been a challenge
- the tool takes lot of time to run the data
Understand your User Behavious by using Adobe
- Helps understand the Marketing Source and Device for Traffic, Orders and Revenue
- Helps us understand how users are exiting at each stage of the journey
- Informs about the Tech aspects as in Browser, Operating system, Mobile device being used
- Implementation of Adobe Analytics is not that simple and hence need support of the experts
- Latest release on the Geographies has started impacting the data
- Adobe doesn't track the APPs on url basis
Adobe Analytics Review
- tracking
- marketing channels
- data visualization
- hard to learn
- use to regex
- high pricing
and least is it is hard to learn, documentation should be intuitive
- Ability to perform quick ad hoc analysis
- Drag and drop functionality makes it less complex to use that some other data tools
- Features that allow us to make custom variables and segments easily
- Breaking down dimensions by other dimensions or segments is easy but users need to know which ones go together and make sense. If they don't, it can lead to looking at irrelevant or incorrect data.
- The diagonal cascading effect when looking at breakdown can be a little annoying, the breakdown display could look better
- There could be more in-depth documentation about a/b tests and test analysis online. What is currently available seems to be at the surface level.
Adobe Analytics: A Powerful Tool
- Site Monitoring - it’s incredible for this, trend lines are easy to see and powerful to share
- Alerts - automated alerts are simple to set up and are useful on the site to know if there’s a problem
- Data Analysis - “should we test this?” “Is this still performing the way we expect it to?” “When did the decline/increase start?” It’s so adept at answering these questions that it’s practically indispensable.
- Order/Visit Volume Tracking - slice this as many ways as your data allows: loyalty members, mobile vs desktop, browser type, the possibilities are seemingly endless and there’s almost always gold hidden inside.
- Onboarding new users - it’s a powerful tool and does its best to make new users feel like they’re creating meaningful reports, but it has some pitfalls and very custom language
- Ease of implementation - it requires a big team of highly skilled professionals, not that this is necessarily a bad thing, but very little is out of the box
- Integration of new features - it feels like using some of the newer features requires additional implementations or integrations with other parts of Adobe, sometimes this isn’t too tough, but it can mean a lot of cooperating across the business.
Adobe Analytics - Totally Addicted!
- Segmentation
- User experience
- Speed and agility
- Needs date math
- Implementation skills are hard to acquire
- Steep learning curve
Adobe Analytics Analysis
- Capturing campaign data
- Creating dashboards
- Tracking user journeys
- Creating Marketing Channels
- API based
- Greater flexibility in the workspace
- The inability to create segments from calculated metrics
- UI can be slightly buggy at times
Adobe Analytics - an enterprise investment
- Flexible reporting tools with ability to create detailed custom reports
- Fast view generation (compared with Google Analytics)
- Flexible implementation that can easily scale to Enterprise level
- Usability of the interfaces has always lagged behind competitors
- Non-standard naming conventions that often aren't intuitive
- Steeper learning curve than other tools - pre-built reports often aren't the best
Perfect analytics tool by Adobe.
- It provides custom analytics which helps us in understanding the data.
- It details out the different steps in customer conversion.
- Provides predictive analytics which helps in forecasting the sales with data.
- Cost is much higher which could be expensive for small businesses.
- There are certain instances where the application is slow wnd unresponsive.
- No free versions are there, hence the third party help is not readily available.
Adobe Analytics Review from an Internet Entrepreneur!
- User Friendly- It is relatively far more user friendly than other similar software.
- Accessibility of Insightful Reports at a click of button
- Dashboard that has all the features listed at a single place.
- Might be a bit expensive for Startups or Small businesses.
- Learning and getting accustomed to the software and all it's features might take a bit of inestment of time & effort.
- Sometimes the software gets a bit slow. So you need to keep up with it.
One of the top analytics tool in the market
- Predictive data analysis
- Dashboard reporting
- Multiple Data source Integrations
- Data integration can be simplified
- Quick report creation with workspace
- Comparison of metrics
- Segment creation
- Custom metric creation
- visualization of data
- Set up of new sites
- Speed of the service overall
- Technical support