

Find out in this report how the two AI Data Analysis solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I have seen a return on investment with Amplitude, saving about 120 man hours per month for a specific report that needs to be created.
It has saved us a lot of time since I can see the analysis as quickly as possible in the dashboard, resulting in significant time and money saved.
You can pursue answers whichever way you would prefer through the normal support routes or you can source it from the community that they offer on Slack.
There could be live chat support for different types of charges or solutions that would be more helpful.
Amplitude customer support is responsive.
Amplitude's scalability is fine; I have millions of active users, tens of millions, with high throughput, and it performs great.
Amplitude is very scalable, considering that we do not have to do any manual work ourselves.
Amplitude is quite scalable.
I did not notice any delays or issues with Amplitude's performance and speed when handling large datasets.
Support could be improved. Sometimes I need to create a ticket and communicate with one of their advisors via email.
Longer form time series analysis seems nearly impossible to do on this platform.
Reconciling clickstream data with Databricks or other AWS systems could help analysts spend less time verifying the accuracy of both sources, which would be really helpful.
I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.
I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.
Pricing is often egregiously high, and the company has changed billing models on us once already.
We are using a free version and would upgrade to a paid version if it were cheaper.
Amplitude's pricing is good and not overpriced; it is fair for the amount of data we are extracting and the analysis we perform.
Based on Amplitude charts and outcomes, our product team takes decisions, so it has improved decision-making.
Amplitude has positively impacted my organization as it allows us to make decisions based on data and iterate faster.
Collaboration was a significant part. What improves collaboration is the self-serve functionality, which was a big deal for PMs to have access to just that data and also the base layer of how that data is structured, which connects to clicks that every report refers to.
Predictive analytics is the most important part of analytics.
I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.
| Product | Market Share (%) |
|---|---|
| Amplitude | 0.5% |
| IBM SPSS Statistics | 0.5% |
| Other | 99.0% |


| Company Size | Count |
|---|---|
| Small Business | 2 |
| Large Enterprise | 9 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 20 |
Amplitude is a digital analytics platform that empowers businesses to understand and optimize customer experiences. It offers real-time insights into user behavior, helping companies identify patterns, measure engagement, and build data-driven strategies to improve their products and increase customer satisfaction.
This platform provides comprehensive analytics, combining data science and machine learning to help teams visualize trends and predict user needs. It integrates seamlessly with various data sources, making it easy to analyze customer journeys, track user interactions, and understand how features contribute to business goals. It also supports cohort analysis to group users based on behaviors, aiding personalized product improvements.
Key features include:
Benefits of using Amplitude include the ability to improve customer retention by understanding key engagement drivers, increase conversion rates through optimized funnels, and refine user experiences with more accurate segmentation. This leads to increased ROI as teams can focus on the most impactful improvements.
Amplitude is valuable across various sectors like e-commerce, fintech, and SaaS. It helps e-commerce teams refine product recommendations, fintech companies assess user acquisition strategies, and SaaS firms personalize onboarding experiences.
Pricing is tailored based on usage and features, offering free, growth, and enterprise plans. Customer support includes comprehensive documentation, a knowledge base, and expert guidance for setup, data management, and strategic analysis.
In summary, Amplitude helps businesses analyze and optimize digital user experiences to enhance engagement, conversion, and retention through a robust suite of analytical tools.
IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.
IBM SPSS Statistics Benefits
Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:
IBM SPSS Statistics Features
Reviews from Real Users
IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.
An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."
A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”
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