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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Heap

    Score8.1 out of 10
    Small Businesses (1-50 employees)
    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.

    $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
    HeapIBM SPSS Statistics
    Editions & Modules
    Free
    $0
    Up to 10k sessions/month
    Growth
    Starting at $3,600 annually
    Up to 300k sessions/year
    Pro
    Contact Heap Sales
    Custom sessions per month and unlimited projects
    Premier
    Contact Heap Sales
    Custom sessions per month
    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
    HeapIBM SPSS Statistics
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsHeap pricing is based on session volume. A session is a period of activity from a single user on your app or website. It can include many pageviews or events.—
    More Pricing Information
    Community Pulse
    HeapIBM SPSS Statistics
    Considered Both Products
    Contentsquare
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    95%
    Would buy again
    216 Answers
    94%
    Would buy again
    49 Answers
    Delivers good value for the price
    99%
    Delivers good value for the price
    149 Answers
    91%
    Delivers good value for the price
    42 Answers
    Happy with the feature set
    95%
    Happy with the feature set
    215 Answers
    98%
    Happy with the feature set
    51 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    117 Answers
    97%
    Lived up to sales and marketing promises
    34 Answers
    Implementation went as expected
    89%
    Implementation went as expected
    121 Answers
    97%
    Implementation went as expected
    35 Answers
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    HeapIBM SPSS Statistics
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    User Ratings
    HeapIBM SPSS Statistics
    Likelihood to Recommend
    8.4
    (233 ratings)
    8.5
    (116 ratings)
    Likelihood to Renew
    9.3
    (9 ratings)
    8.5
    (23 ratings)
    Usability
    9.0
    (65 ratings)
    8.0
    (15 ratings)
    Availability
    9.1
    (2 ratings)
    6.0
    (1 ratings)
    Performance
    8.4
    (61 ratings)
    6.0
    (1 ratings)
    Support Rating
    9.0
    (8 ratings)
    6.4
    (12 ratings)
    Implementation Rating
    9.0
    (3 ratings)
    8.7
    (7 ratings)
    Configurability
    9.1
    (1 ratings)
    5.0
    (1 ratings)
    Ease of integration
    9.1
    (1 ratings)
    5.0
    (1 ratings)
    Product Scalability
    7.3
    (2 ratings)
    5.0
    (1 ratings)
    Vendor post-sale
    8.2
    (1 ratings)
    5.0
    (1 ratings)
    Vendor pre-sale
    8.2
    (1 ratings)
    5.0
    (1 ratings)
    User Testimonials
    HeapIBM SPSS Statistics
    Likelihood to Recommend
    Contentsquare
    Scenarios when Heap was well suited: It is when a user claims that he encountered a bug without giving us the details of the error message. Scenarios where it is less appropriate: Its when we try to capture user interaction in our mobile app
    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
    Contentsquare
    • Realtime interactions which are captured automatically is a unique feature which no other product offers.
    • Low code implementation is a big plus for marketing teams, as there is less dependency on engineering
    • Detailed customer behaviours can be studied with captured replay sessions
    • Due to all the above points - it helped to improve customer experience
    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
    Contentsquare
    • I think Heap can improve its onboarding; I would love to see some info that is helpful for someone who isn't in Heap every single day.
    • Sharing dashboards can be tricky, it feels like a huge learning curve that I already have forgotten how to do.
    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
    Contentsquare
    It's a great platform. I'm glad that one of our product managers introduced it because it has allowed us to create all kinds of new functionality. We're not only able to create a better product experience from our communications because of Heap, but we're also able to generate all kinds of helpful analysis.
    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
    Contentsquare
    On a scale from 1-10, I find Heap to be incredibly user-friendly and easy to use. I enjoyed the training videos available and was quickly able to pick up how to create events and reports to track user interactions on our product. I would recommend Heap for its usability first and foremost.
    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
    Contentsquare
    I've never run into any issues with Heap's availability, Heap is always there when I need it. I haven't run into any issues like application errors or unplanned outages during my 2+ years of using Heap. Each and every time I log in to Heap I have a completely functional experience
    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
    Contentsquare
    Heap doesn't affect page load times considerably nor has a large impact [on] our overall score, as far as page loading times inside of the tool its pretty reliable to retrieve data as much as "instant" that it can be the delay seems to be on data getting tracked into the servers to be read but it's not significant.
    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
    Contentsquare
    Heap support has allowed us to troubleshoot and test a lot of different items. Their support team is always helpful and friendly, even when we come to them with the most complicated questions. I think this greatly improves the value proposition of the product because their support team is knowledgable and friendly.
    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
    Contentsquare
    The implementation was smooth and easy. The Heap team helped us with implementation and it went great! Within a few weeks, we were fully up and running and utilizing the platform to its full capability. This is an additional thing that has made this platform so great and we couldn't recommend it enough.
    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
    Contentsquare
    Heap offers a ton of functionality on a single platform.It also has an smart data science layer to offers suggestions for next steps in the analysis, allowing us to explore alternative paths we may not think to take. The low-code option for updating data is appealing, and there is a lot of automation with minimal engineering effort.
    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
    Contentsquare
    The most challenging part of using Heap in a growing organization is the naming and structure in which reports and dashboards are organized. I work within the marketing department and our Heap leader internally works within the IT/Product department, which makes it challenging because we often don't speak the same language, so the learning curve has been steep without any specific use-case examples to leverage online.
    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.
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    Return on Investment
    Contentsquare
    • It has helped us make decisions on what products to scope for our MVP based on the usage data.
    • It's allowed us to measure success with our beta product.
    • It's helped us view our conversion rates in an easy and usable manner.
    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

    Heap Screenshots

    Screenshot of Dashboard in Heap (Use to get Product or User Behavior Insights)Screenshot of Effort Analysis provides the first-ever quantitative measurement of user friction, capturing the difficulty users face when moving through every step of every user flow across the digital experience.Screenshot of Heap Illuminate looks for the most common events between two steps in a funnel and generates a Top Events table that displays how well paths including different events convert to the next step so you can understand how that behavior is helping or hurting conversion.Screenshot of From Top Events you can choose an event and use Path Comparison to fork your funnel and see how the selected behavior impacts conversion downstream.

    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