Adobe Analytics vs. IBM SPSS Statistics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Adobe Analytics
Score 8.2 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
IBM SPSS Statistics
Score 8.4 out of 10
N/A
SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).
$99
per month
Pricing
Adobe AnalyticsIBM SPSS Statistics
Editions & Modules
No answers on this topic
Subscription
$99.00
per month
Base
$3,610
one-time fee per user
Standard
$7,960
one-time fee per user
Professional
$15,900
one-time fee per user
Premium
$23,800
one-time fee per user
Offerings
Pricing Offerings
Adobe AnalyticsIBM SPSS Statistics
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Adobe AnalyticsIBM SPSS Statistics
Top Pros
Top Cons
Features
Adobe AnalyticsIBM SPSS Statistics
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Adobe Analytics
8.2
2 Ratings
5% above category average
IBM SPSS Statistics
-
Ratings
Lead Conversion Tracking8.82 Ratings00 Ratings
Bounce Rate Measurement8.62 Ratings00 Ratings
Device and Browser Reporting9.02 Ratings00 Ratings
Pageview Tracking8.62 Ratings00 Ratings
Event Tracking8.22 Ratings00 Ratings
Reporting in real-time6.62 Ratings00 Ratings
Referral Source Tracking8.62 Ratings00 Ratings
Customizable Dashboards7.42 Ratings00 Ratings
Best Alternatives
Adobe AnalyticsIBM SPSS Statistics
Small Businesses
StatCounter
StatCounter
Score 9.0 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.9 out of 10
Medium-sized Companies
Siteimprove
Siteimprove
Score 8.7 out of 10
Alteryx
Alteryx
Score 9.0 out of 10
Enterprises
Contentsquare
Contentsquare
Score 8.6 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Adobe AnalyticsIBM SPSS Statistics
Likelihood to Recommend
8.1
(176 ratings)
8.5
(81 ratings)
Likelihood to Renew
9.9
(42 ratings)
8.0
(18 ratings)
Usability
6.7
(33 ratings)
6.0
(9 ratings)
Availability
8.5
(12 ratings)
6.0
(1 ratings)
Performance
7.8
(11 ratings)
6.0
(1 ratings)
Support Rating
4.2
(41 ratings)
5.0
(5 ratings)
In-Person Training
1.7
(5 ratings)
-
(0 ratings)
Online Training
7.0
(5 ratings)
-
(0 ratings)
Implementation Rating
7.9
(10 ratings)
5.0
(4 ratings)
Configurability
-
(0 ratings)
5.0
(1 ratings)
Contract Terms and Pricing Model
7.3
(6 ratings)
-
(0 ratings)
Ease of integration
-
(0 ratings)
5.0
(1 ratings)
Product Scalability
9.8
(2 ratings)
5.0
(1 ratings)
Professional Services
7.5
(5 ratings)
-
(0 ratings)
Vendor post-sale
-
(0 ratings)
5.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
Adobe AnalyticsIBM SPSS Statistics
Likelihood to Recommend
Adobe
Adobe Analytics is better than some other tools as it feels better set up for actual "analysis", rather than simply "reporting". The power of Workspace allows you to drag 'n' drop at ease which makes you are far more in control of your own analysis/discovery/exploration. 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.
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IBM
SPSS is well-suited for the following: 1) User Behavior Analysis: SPSS handles large datasets to analyze user behavior data. 2) Customer Satisfaction / Foundational Surveys: SPSS facilitates analysis of quant data from satisfaction surveys, keeping us informed about customer needs and preferences. 3) A/B test analysis: SPSS statistical tools for A/B test analysis, which helps optimize user experience of our products. Scenarios where SPSS are less appropriate: 1) Qualitative Data Analysis: I do not use SPSS for open-ended survey responses/qual data. 2) Live/in-vivo data analysis: SPSS is not ideal for real-time data processing. 3) Complex Data Integration: SPSS isn’t the best fit for complex data integration tasks
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Pros
Adobe
  • 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.
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IBM
  • SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
  • Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
  • SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
  • SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
  • In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
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Cons
Adobe
  • 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.
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IBM
  • It would be beneficial to have AMOS as part of the SPSS package instead of purchasing it separately.
  • It would be beneficial to have other statistical tests, such as PROCESS, be part of the standard SPSS tests instead of having the need to run a syntax to have it installed.
  • My dataset tends to be smaller, and I have never had any issues with using SPSS. I heard that SPSS may not be optimal when handling large datasets.
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Likelihood to Renew
Adobe
We've found multiple uses for Adobe Analytics in our organization. Each department analyzes the data they need and creates actionables based off of that data. For E-Commerce, we're constantly using data to analyze user engagement, website performance and evaluate ROI.
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IBM
It's super easy to use for newbies and super powerful for power users! It does EVERYTHING you are usually asked to do analytically. Their Help Desk is PHENOMENAL. And I find the upgrade and renewal price to be a good deal.
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Usability
Adobe
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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IBM
SPSS is beginner friendly and user-friendly for beginner analysts and simple statistical tests. It's "click and go" interface does take some learning, but overall this is much easier than other programs I have used and seen. Compared to SAS software, SPSS takes a great deal less familiarizing and it not a matter of learning a coding language like SAS and RStudio.
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Reliability and Availability
Adobe
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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IBM
SPSS can tend to crash when I am trying to do a lot of data. This can slow me down when I need to do a lot of data
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Performance
Adobe
Again, no issues here. Performance within the day updates hourly. other reports are updated overnight and available to access by the next morning. Pages load quickly, the site navigates easily and the UX is quite straightforward to get command over. On this front, I give Adobe kudos for building a great experience to work within
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IBM
SPSS does the job, but it can be slow. I do have to plan a lot of time to get through a huge amount of data.
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Support Rating
Adobe
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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IBM
I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
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In-Person Training
Adobe
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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IBM
No answers on this topic
Online Training
Adobe
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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IBM
No answers on this topic
Implementation Rating
Adobe
One of the benefits and obstacles to successfully using Adobe Analytics is a great / more accurate implementation, make sure your analytics group is intimate with the details of the implementation and that the requirements are driven by the business.
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IBM
Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
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Alternatives Considered
Adobe
I think Adobe's been around longer as a product but Tealium, from when I did research, it has auto-tagging. So one of my biggest pet peeves is when I'm rolling out new features, and whether it's an app or a website, is that I have to go speak with our metrics team or tagging team and we have to come up with these different strategies. Okay, how are we gonna tag it? What are we going to name it? It just seems like a lot of wasted time in my opinion. I want to track everything. I want to know every single thing these people are doing. We shouldn't have to have this conversation if we tag this, you might not have time to tag this right away for MVP. It's like that to me right now. That shouldn't even be a conversation. I should be able to release a feature, I should be able to just automatically go pull reports on that. And just figure out exactly what they were doing.
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IBM
IBM SPSS Statistics Logistic Regression's user-friendly interface is among its most important benefits. Without the need for sophisticated technical knowledge, users can navigate and analyze their data with ease. As a faculty member of a university, I used it using its numerous features for data analysis, which helped me publish research articles, journals, thesis supervision, etc.
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Contract Terms and Pricing Model
Adobe
Adobe Analytics is relatively affordable compared to other tools, given it provides a range of flexible variables to use that I have not found in any other tools so far. It is worth investing in if your company is medium or large-sized and brings a steady flow of revenue. For small companies, it can be overpriced.
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IBM
No answers on this topic
Scalability
Adobe
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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IBM
I am neutral because I have not had to look into scalability since I am using as a student.
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Professional Services
Adobe
The professional services team is one of the best teams for complex adobe analytics implementations, especially for clients having multiple website and mobile applications. However, the cost of professional services is a bit high which makes few clients opt out of it, but for large scale implementations they are very helpful
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IBM
No answers on this topic
Return on Investment
Adobe
  • I like to think it's positive. It's a very steep learning curve, so we do face a lot of challenges with adoption inside of the companies. My team and I evangelize this and also who's in charge of data and advanced analytics, but it's very hard to leverage that with typical business analysis people. These are people who live their life in Excel and SQL and Power BI. They just use this very occasionally and by only looking at that sort of aggregate data, they miss out on behavior and what actually happens in execution. And because it's such a steep learning curve, we do have a challenge pushing it in there.
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IBM
  • IBM SPSS has allowed me to quickly analyze data for research.
  • IBM SPSS has allowed me to complete analyses in order to submit research findings to conferences and complete manuscripts.
  • IBM SPSS has enabled me to meet research objectives set out in grant proposals.
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