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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Analytics

    Score8.3 out of 10
    N/AGoogle 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.

    $0

    per month

    IBM SPSS Statistics

    Score8 out of 10
    N/ASPSS 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).

    $105

    per month per user

    Pricing
    Google AnalyticsIBM SPSS Statistics
    Editions & Modules
    Google Analytics 360
    150,000
    per year
    Google Analytics
    Free
    Base
    USD 3,830
    one-time fee per user
    Standard
    USD 8,440
    one-time fee per user
    Professional
    USD 16,900
    one-time fee per user
    Premium
    USD 25,200
    one-time fee per user
    Monthly subscription
    USD 105
    per month per user
    Annual subscription
    USD 1,188.00
    per year per user
    Offerings
    Pricing Offerings
    Google AnalyticsIBM SPSS Statistics
    Free Trial
    NoYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google AnalyticsIBM SPSS Statistics
    Considered Both Products
    Google
    No answer on this topic
    IBM
    Chose IBM SPSS Statistics
    We used IBM SPSS Statistics as it works well with the other IBM tools that we use. It may not work as well for smaller organizations with limited budget/resources.
    We have a mix of technical and devops people and this tool is easily used by everyone on the team globally.
    Incentivized
    Chose IBM SPSS Statistics
    Deriving outcomes using the statistical analysis is the major advantage over all the above tools.
    Incentivized
    Chose IBM SPSS Statistics
    As a tech-lover, I used many software products, such as Stata, R Studio, Python, Orange, Jupyter Notebook, MatLab, Julia, Hadoop etc. Each software has its own specific features. However, I like open
    Incentivized
    Chose IBM SPSS Statistics
    IBM SPSS is more user-friendly and easiest for novice analysts. It performs efficiently, accurately, and produces quality information and predictions.
    Incentivized
    Chose IBM SPSS Statistics
    I used SPSS throughout my degree and it was the software package I was most comfortable with. Beyond this, it doesn't require any C-style coding ability like R needs and therefore is very user-friendly to the layman statistician. Beyond this, it contains every major statistical …
    Incentivized
    Chose IBM SPSS Statistics
    I used BeGaze to analyze my eye-tracking data, but that has nothing to do with statistics. In fact I exported the eye tracking data to a text delimited file and imported it to SPSS. Totally different uses, but still data analysis?
    Incentivized
    Key User Insights
    Would buy again
    96%
    Would buy again
    101 Answers
    94%
    Would buy again
    49 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    100 Answers
    91%
    Delivers good value for the price
    42 Answers
    Happy with the feature set
    99%
    Happy with the feature set
    104 Answers
    98%
    Happy with the feature set
    51 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    77 Answers
    97%
    Lived up to sales and marketing promises
    34 Answers
    Implementation went as expected
    96%
    Implementation went as expected
    87 Answers
    97%
    Implementation went as expected
    35 Answers
    Features
    Google AnalyticsIBM SPSS Statistics
    Web Analytics
    Comparison of Web Analytics features of Google Analytics and IBM SPSS Statistics
    Feature
    Google Analytics
    8.4
    11 Ratings
    4% above category average
    IBM SPSS Statistics
    -
    Ratings
    Lead Conversion Tracking8.210 Ratings00 Ratings
    Bounce Rate Measurement8.410 Ratings00 Ratings
    Device and Browser Reporting9.311 Ratings00 Ratings
    Pageview Tracking9.111 Ratings00 Ratings
    Event Tracking8.411 Ratings00 Ratings
    Reporting in real-time7.810 Ratings00 Ratings
    Referral Source Tracking8.610 Ratings00 Ratings
    Customizable Dashboards7.910 Ratings00 Ratings
    Best Alternatives
    Google AnalyticsIBM SPSS Statistics
    Small Businesses
    Matomo Analytics
    Score9 out of 10
    No answers on this topic
    Medium-sized Companies
    Lead Forensics
    Score9 out of 10
    Alteryx Platform
    Score9 out of 10
    Enterprises
    Chartbeat
    Score9.2 out of 10
    Alteryx Platform
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google AnalyticsIBM SPSS Statistics
    Likelihood to Recommend
    8.5
    (193 ratings)
    8.5
    (116 ratings)
    Likelihood to Renew
    9.0
    (51 ratings)
    8.5
    (23 ratings)
    Usability
    7.4
    (19 ratings)
    8.0
    (15 ratings)
    Availability
    10.0
    (4 ratings)
    6.0
    (1 ratings)
    Performance
    10.0
    (2 ratings)
    6.0
    (1 ratings)
    Support Rating
    7.0
    (42 ratings)
    6.4
    (12 ratings)
    Online Training
    10.0
    (2 ratings)
    -
    (0 ratings)
    Implementation Rating
    9.0
    (7 ratings)
    8.7
    (7 ratings)
    Configurability
    6.0
    (2 ratings)
    5.0
    (1 ratings)
    Ease of integration
    10.0
    (1 ratings)
    5.0
    (1 ratings)
    Product Scalability
    10.0
    (2 ratings)
    5.0
    (1 ratings)
    Vendor post-sale
    10.0
    (1 ratings)
    5.0
    (1 ratings)
    Vendor pre-sale
    9.0
    (1 ratings)
    5.0
    (1 ratings)
    User Testimonials
    Google AnalyticsIBM SPSS Statistics
    Likelihood to Recommend
    Google
    Google Analytics is particularly well suited for tracking and analyzing customer behavior on a grocery e-commerce platform. It provides a wealth of information about customer behavior, including what products are most popular, what pages are visited the most, and where customers are coming from. This information can help the platform optimize its website for better customer engagement and conversion rates. However, Google Analytics may not be the best tool for more advanced, granular analysis of customer behavior, such as tracking individual customer journeys or understanding customer motivations. In these cases, it may be more appropriate to use additional tools or solutions that provide deeper insights into customer behavior.
    Read full review
    IBM
    IBM SPSS Statistics is well suited for pretty much any data analytic scenario. It can handle extremely complex and large-scale datasets with ease. It especially shines if you have to do any kind of analyses that involve significance testing. Being able to do any number of significance tests (i.e., t-tests, chi-square, ANOVAs, etc.) right inside the tool is very valuable. The only scenario I would say it is less appropriate is if you need to work on a very small dataset and answer very simple questions, like frequencies or averages. In those cases, something like Excel could probably do the job just as easily.
    Incentivized
    Read full review
    Pros
    Google
    • Multiple reports to see website use and behavior
    • Allows you to customize reports with days, weeks, months, and years
    • You can build out a dashboard to easily view stats from multiple websites in one place
    • You can share analytics reports via the dashboard, automatically emailed PDFs or in other formats
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Cons
    Google
    • Data sampling is somewhat inaccurate on the free tier - this is addressed in premium but is expensive.
    • Some of the UI is very similar in naming when presenting different data, some in-situ information might be useful.
    • Gotchas around filtering and data validation.
    • Implementation can be tricky, it can take a lot of time and expertise to get a full, accurate picture of your metrics.
    Incentivized
    Read full review
    IBM
    • Cost is becoming prohibitive.
    • Availability of procedures in the base package seems to be dwindling.
    • The copy-and-paste function from output to Excel is not as easy as it once was (now I have to do a "paste special").
    • Text and date handling are terrible.
    • Need to include AI-based NLP for survey verbatims and other text-based fields. This is becoming increasingly important in the CX world, yet SPSS seems to be ignoring it.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    We will continue to use Google Analytics for several reasons. It is free, which is a huge selling point. It houses all of our ecommerce stores' data, and though it can't account for refunds or fraud orders, gives us and our clients directional, real time information on individual and group store performance.
    Incentivized
    Read full review
    IBM
    Both
    money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis
    using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data
    entry and data analysis for my research. Output from SPSS is very easy to
    interpret for data analysis and findings
    Incentivized
    Read full review
    Usability
    Google
    Google Analytics provides a wealth of data, down to minute levels. That is it's greatest detriment: find the right information when you need it can be a cumbersome task. You are able to create shortcuts, however, so it can mitigate some of this problem. Google is continually refining Analytics, so I do not doubt there will be improvements
    Read full review
    IBM
    Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
    Incentivized
    Read full review
    Reliability and Availability
    Google
    We all know Google is at top when it comes to availability. We have never faced any such instances where I can suggest otherwise. All you need is a Google account, a device and internet connection to use this super powerful tool for reporting and visualising your site data, traffic, events, etc. that too in real time.
    Read full review
    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
    Incentivized
    Read full review
    Performance
    Google
    This has been a catalyst for improving our site's traffic handling capabilities. We were able to identify exit% from our sites through it and we used recommendations to handle and implement the same in our sites. We have been increasing the usage of Google Analytics in our sites and never had any performance related issues if we used Analytics
    Read full review
    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.
    Incentivized
    Read full review
    Support Rating
    Google
    The Google reps respond very quickly. However, sometimes they can overly call you to set up an apportionment. I'm very proficient and sometimes when I talk to reps, they give beginner tutorials and insights that are a waste of time. I wish Google would understand my level of expertise and assign me to a rep (long-term) that doesn't have to walk me through the basics.
    Incentivized
    Read full review
    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
    Read full review
    Online Training
    Google
    love the product and training they provide for businesses of all sizes. The following list of links will help you get started with Google Analytics from setup to understanding what data is being presented by Google Analytics.
    1. How to Use Google Analytics for Beginners – Mahalo’s how-to guide for beginners.
    2. A beginner’s guide to Google Analytics – A free eBook walking you through Google Analytics from setup to understanding what data is being presented.
    3. Getting to Know Your Google Analytics Dashboard – The title says it all! This is a brief post with one goal: to introduce you to the Google Analytics dashboard.
    4. Google Analytics for Beginners: How to Make the Most of Your Traffic Reports– This guide doesn’t cover setup, but it does a great job of helping you to better understand the data being presented.
    5. Google Analytics Video Tutorial 1: Setup – A video presentation that walks you through Google Analytics setup.
    6. Google Analytics Video Tutorial 2: Essential Stats – A video presentation that introduces you to some of the most important data being presented in Google Analytics.
    Read full review
    IBM
    No answers on this topic
    Implementation Rating
    Google
    I think my biggest take away from the Google Analytics implementation was that there needs to be a clear understanding of what you want to achieve and how you want to achieve it before you start. Originally the analytics were added to track visitors, but as we became more savvy with the product, we began adding more and more functionality, and defining guidelines as we went along. While not detrimental to our success, this lack of an overarching goal resulted in some minor setbacks in implementation and the collection of some messy data that is unusable.
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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.
    Incentivized
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    Alternatives Considered
    Google
    I have not used Adobe Analytics as much, but I know they offer something called customer journey analytics, which we are evaluating now. I have used Semrush, and I find them much better than Google Analytics. I feel a fairly nontechnical person could learn Semrush in about a month. They also offer features like competitive analysis (on content, keywords, traffic, etc.), which is very useful. If you have to choose one among Semrush and Google Analytics, I would say go for Semrush.
    Incentivized
    Read full review
    IBM
    If you have made it this far, you should have a very good idea of how SPSS stacks up the competition (data processing and analytics tools). Even the free ones, such as r Studio or Stata, are leaps and bounds ahead of SPSS. IBM is resting on a reputation developed nearly 30 years ago and has shown no desire to improve.
    Incentivized
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    Scalability
    Google
    Google Analytics is currently handling the reporting and tracking of near about 80 sites in our project. And I am not talking about the sites from different projects. They may have way more accounts than that. Never ever felt a performance issue from Google's end while generating or customising reports or tracking custom events or creating custom dimensions
    Read full review
    IBM
    I am neutral because I have not had to look into scalability since I am using as a student.
    Incentivized
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    Return on Investment
    Google
    • It has helped us gain understanding of what is going on on our website.
    • It has helped us determine areas that need fixing (i.e. pages with extremely high bounce rates may need to be redone).
    • It has helped us understand our biggest avenues for bringing traffic to the website and business in general.
    • It has helped guide our website redesign.
    Incentivized
    Read full review
    IBM
    • I found SPSS easier to use than SAS as it's more intuitive to me.
    • The learning curve to use SPSS is less compared to SAS.
    • I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.
    Incentivized
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    ScreenShots

    IBM SPSS Statistics Screenshots

    Screenshot of SPSS Statistics Forecasting. This enables users to build time-series forecasts regardless of their skill level.Screenshot of SPSS Statistics Regression. These predict categorical outcomes and apply nonlinear regression procedures.Screenshot of IBM SPSS Statistics Neural Networks. These can discover complex relationships and improve predictive models.Screenshot of IBM SPSS Statistics Curated Help. These can interpret correlation output.Screenshot of IBM SPSS Statistics AI Output Assistant interprets statistical output in easy to consume language