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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Fullstory

    Score8.9 out of 10
    N/AFullstory’s behavioral data platform helps technology leaders make better, more informed decisions by injecting digital behavioral data into their analytics stack. The technology's behavioral data transforms digital visit into actionable insights.N/A

    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
    FullstoryIBM SPSS Statistics
    Editions & Modules
    Business
    Contact Sales
    Enterprise
    Contact Sales
    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
    FullstoryIBM SPSS Statistics
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    FullstoryIBM SPSS Statistics
    Considered Both Products
    Fullstory
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    96%
    Would buy again
    66 Answers
    94%
    Would buy again
    49 Answers
    Delivers good value for the price
    98%
    Delivers good value for the price
    46 Answers
    91%
    Delivers good value for the price
    42 Answers
    Happy with the feature set
    99%
    Happy with the feature set
    68 Answers
    98%
    Happy with the feature set
    51 Answers
    Lived up to sales and marketing promises
    98%
    Lived up to sales and marketing promises
    39 Answers
    97%
    Lived up to sales and marketing promises
    34 Answers
    Implementation went as expected
    98%
    Implementation went as expected
    41 Answers
    97%
    Implementation went as expected
    35 Answers
    Features
    FullstoryIBM SPSS Statistics
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Fullstory and IBM SPSS Statistics
    Feature
    Fullstory
    6.2
    19 Ratings
    20% below category average
    IBM SPSS Statistics
    -
    Ratings
    Responsive Design for Web Access7.917 Ratings00 Ratings
    Mobile Application7.910 Ratings00 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile7.913 Ratings00 Ratings
    Mobile App Analytics6.412 Ratings00 Ratings
    Results and Analysis
    Comparison of Results and Analysis features of Fullstory and IBM SPSS Statistics
    Feature
    Fullstory
    9.2
    49 Ratings
    2% below category average
    IBM SPSS Statistics
    -
    Ratings
    Heatmap tool9.937 Ratings00 Ratings
    Click analytics9.044 Ratings00 Ratings
    Scroll maps9.033 Ratings00 Ratings
    Form fill analysis9.026 Ratings00 Ratings
    Conversion tracking9.928 Ratings00 Ratings
    Goal tracking7.923 Ratings00 Ratings
    Funnel Analysis8.034 Ratings00 Ratings
    Session Recording and Replay10.048 Ratings00 Ratings
    User Segmentation10.043 Ratings00 Ratings
    Best Alternatives
    FullstoryIBM SPSS Statistics
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    Medium-sized Companies
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    Score7.5 out of 10
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    Enterprises
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    Score6.3 out of 10
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    User Ratings
    FullstoryIBM SPSS Statistics
    Likelihood to Recommend
    10.0
    (72 ratings)
    8.5
    (116 ratings)
    Likelihood to Renew
    9.7
    (9 ratings)
    8.5
    (23 ratings)
    Usability
    10.0
    (1 ratings)
    8.0
    (15 ratings)
    Availability
    9.0
    (1 ratings)
    6.0
    (1 ratings)
    Performance
    8.0
    (1 ratings)
    6.0
    (1 ratings)
    Support Rating
    8.3
    (61 ratings)
    6.4
    (12 ratings)
    Implementation Rating
    7.5
    (56 ratings)
    8.7
    (7 ratings)
    Configurability
    7.0
    (1 ratings)
    5.0
    (1 ratings)
    Ease of integration
    9.0
    (1 ratings)
    5.0
    (1 ratings)
    Product Scalability
    8.0
    (1 ratings)
    5.0
    (1 ratings)
    Vendor post-sale
    8.0
    (1 ratings)
    5.0
    (1 ratings)
    Vendor pre-sale
    8.0
    (1 ratings)
    5.0
    (1 ratings)
    User Testimonials
    FullstoryIBM SPSS Statistics
    Likelihood to Recommend
    Fullstory
    It was extremely useful in identifying places in our product where things weren't functioning, or where it looked like action was available to the end user but in reality, it was not and therefore caused lots of confusion. It doesn't help as much in other scenarios to see what catches a user's Eye or where they go if they leave our application as well as an actual in-person interview would help with eye-tracking software.
    Incentivized
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    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
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    Pros
    Fullstory
    • Tracks users' online experiences from start to finish.
    • Makes it easy to share a customer's experiences with the rest of my team.
    • Allows me to use different methods to find evidence of a customer's experience.
    • Shows page insights via segmentation that help me know where to improve my site.
    • Tracks error clicks and dead clicks for quick insights into site improvements.
    • Integrates with HelpScout for easy access to customer problem-solving.
    Incentivized
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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.
    Incentivized
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    Cons
    Fullstory
    • The ramp-up time to learn the entire product can take a little while. There are just so many absolutely wonderful tools and different ways to look at the same type of information that it can take a new user a few weeks to understand and then more time to master. However, FullStory has a ton of training resources to help with that! A lot of my own teammates have taught themselves FullStory through those training resources.
    • The UX of the product is totally wonderful, but there are tiny things that make getting to certain parts of the product slightly more challenging (like clicking into a modal in a modal). Sometimes buttons or links are placed out of my field of view, but those are minor things I notice because I work in UX.
    Incentivized
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    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
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    Likelihood to Renew
    Fullstory
    It's been a phenomenal tool for us; every department that uses it has found something new and unexpected that it can do that they're really excited about. Even if we *only* used it for bug triage, it would be worth our time and money. The fact that we can use it for so many other things as well--gauging how customers interact and use our site, identifying UI problems, etc.--is above and beyond
    Incentivized
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    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
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    Usability
    Fullstory
    Because everything seems to be easy to find and it doesn't take long at all to learn how to use the product
    Incentivized
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    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
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    Reliability and Availability
    Fullstory
    We've never had issues with availability
    Incentivized
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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
    Incentivized
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    Performance
    Fullstory
    It seems the performance is really good and always loads quickly
    Incentivized
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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.
    Incentivized
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    Support Rating
    Fullstory
    They have been overall pretty responsive and proactive. The tool is pretty straightforward to use. Most of the questions we have had to work with them on our how to use new features or adjust our integration to ensure we are gathering all the data from all of our tools.
    Incentivized
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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
    Read full review
    Implementation Rating
    Fullstory
    To successfully implement FullStory, it is important to plan your implementation carefully by defining your goals and user segments. You should also use tags and filters to analyze your user data, train your team to use FullStory effectively, and use FullStory in conjunction with other analytics tools to get a more complete picture of your user's behavior. By following these tips, you can gain valuable insights into your users' behavior and experiences, and use this information to improve your website or application.
    Incentivized
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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
    Fullstory
    Smartlook is software that records users on a website
    and mobile app. Finding useful information within thousands of recordings is
    made quick and easy with features that help you accomplish this. I have chosen FullStory because it is easier to use and has more advanced features compared to Smartlook.
    Incentivized
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    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
    Fullstory
    Full story was easy to scale with the growth of our teams and organisation
    Incentivized
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    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
    Fullstory
    • Triage for front end bugs - FullStory can sometimes help you spot a bug in action much more quickly than trying to recreate it on your own
    • Observing customers use new features and understanding why a new feature may be performing better or worse than expected
    Incentivized
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    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

    Fullstory Screenshots

    Screenshot of AI-generated Summaries used to Take Action More QuicklyScreenshot of a Visualization of Behavioral Data with Custom DashboardsScreenshot of Ready-made for AI Behavioral Data Straight to the organization's Data EcosystemScreenshot of Fullstory's Session Replay, Combined with Dev ToolsScreenshot of Mobile App Behavioral Data

    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