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).
$105
per month per user
Intuit Mailchimp
Score 8.3 out of 10
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Mailchimp is an email marketing and marketing automation platform. Beyond just tracking how campaigns perform, Mailchimp takes it a step further by analyzing data from over half a billion emails to show why campaigns perform, driving informed decisions.
SPSS's ability to deal with things like survey verbatims is a significant competitive disadvantage. The ability to do most of what researchers do without having to learn to program (think R or Python) is the primary advantage SPSS brings to bear.
For any E-commerce related needs, like you need to see a list of customers who have added products to cart but did not purchase, this can be done really easily, but if your e-commerce provider provides integration, then it is best suited. Most of the systems in the Market provide out-of-the-box integration. Their API is also very easy it can be integrated to any language. You can integrate it into your custom developed system and use the features, like adding customers to specific lists. Also, if your lists become really big, then their system can get a bit slow to respond via API, so you might need a strategy for how you are gonna fetch the data using API.
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.
Mailchimp allows you to manage your mailing list really well. You can subscribe people, unsubscribe people manage the mailing list directly into segments, and what not.
Mailchimp has features where you can create campaigns based on your mailing lists and send out newsletters to your subscribers based on a multitude of parameters that you can setup. Such as send email daily, weekly, monthly and they also have event based mails that you can send out.
Mailchimp also has a feature where you can design your emails. The look and aesthetics are very important when sending emails to your subscribers and all those needs are addressed here.
collaboration - SPSS lacks collaboration features which makes it near impossible to collaborate with my team on analysis. We have to send files back and forth, which is tedious.
integration - I wish SPSS had integration capabilities with some of the other tools that I use (e.g., Airtable, Figma, etc.)
user interface - this could definitely be modernized. In my experience, the UI is clunky and feels dated, which can negatively impact my experience using the tool.
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
We've had Mailchimp for about ten years, I want to say. I started with the company about four years ago, and I don't see us ever diverting to another source. It's easy for us to use, and we have all our clients already built into the database. I imagine we'll use them for as long as we have the company.
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.
The interface is a bit complicated, and I need to spend some time to learn new functions and understanding how it works. I don't like working with email templates because of the limited customization options. However, functions like AI for generating emails, segmentation, and analytics still work well and are very useful.
I have, in the 4+ years that I've used Mailchimp, never seen an issue that restricted the use of their software/tools. I don't know of a single time when they're system crashed or went down. I could be wrong, but I honestly haven't experienced any issues with outages, errors or unplanned downtime
I haven't noticed any slow speeds from Mailchimp or their tools. I think the landing pages load quickly and look nice. The email reports and editing operates smoothly and doesn't take time to load. Additionally, when I use Mailchimp in conjunction with Zapier + Hubspot I don't notice any drag between any of these tools
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
Website tools were easy to use and understand so a novice can easily meet or exceed their client's expectations! Loved that we were able to totally customize so that the e-mail we created conveyed our client's overall messaging consistent with their branding! Client love that we can provide turnkey services to support their sales and marketing teams!
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.
It's pretty easy to get up and running! There's a slight learning curve on a few things, but once you find where everything is located, you can import your list and send your first email. It really makes our clients feel great to see how quickly they can get that first email out.
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.
I don't think they are comparable; we use Google Ads to put our website at the top of the list when someone googles certain words. We use meta business to manage our social media. Google aims to gain customers, while Mailchimp is used to interact with both existing and new customers.
IBM Cognos Analytics may have been designed to scale up to a very large number of users however we are a small business with small number of users and the program worked equally well for us. We would highly recommend the product for any business no matter the size, small to large.
Mailchimp over the years I've used it has grown in leaps and bounds. They have added so many additional features than were previously available. They are truly an all-in-one marketing platform now. If you're a small operation and just want to add email to your marketing efforts, they're there for you. If you're a larger operation and want to start sending postcard advertisements, they can do that. If you'd good with that and want to kick up your marketing by going social, you can do that on their platform. They are truly able to be as small as you need, but also get quite large in whatever it is you'd like to do through their system.
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.
One of my retail web store clients was sending out email specials and notices about once a month. After clicking the send button, we would watch Google Analytics and the current site users would light up immediately. Often, the current site visitors would pop up to 20, 30 or more after the email was sent. On a normal day, seeing 1 or 2 online users would be OK.
Pretty much in all cases, we could see an uptick in positive activity after sending out a Intuit Mailchimp email to a list.
