Constant Contact vs. IBM SPSS Statistics

Constant Contact is an excellent tool for sending out flyers and newsletters. However, I feel the content's appearance is typically all the same. When I receive an email from Constant Contact, I can immediately identify it - the templates usually all look the same. When sending out communications with images, it is easy to use Constant Contact and link webpages. However, the email layout is always vertical and can get very lengthy. I prefer a more flip-book approach with options to flip the page.

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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.

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• Market segmentation is great: my main segmentation is by region because that's how our sales team is divided.
• Lists: making customized email lists is easy and intuitive; the custom fields allow some flexibility in case our fields don't exactly line up with Constant Contact's.
• Campaigns: creating campaigns is quick and simple. I especially appreciate the 'resend to non-openers' option. I am constantly using this feature.
• Subject line generator: I like using the recommended subject lines. I'm able to plug in their recommended ideas, or sometimes, this feature helps me generate my own ideas.

• 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.

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• It would be nice if we had more customizable options for emails - like moving around pictures and text boxes, rather than a set spot for everything to go.
• I would like it if multiple people could work on a document at one time. So if I'm in charge of graphics, I can get those updated while someone else is entering content, etc.

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• 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.

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There is no doubt that we are going to renew Constant Contact. We have not just invested a lot of time in learning and creating a great looking product but we have developed a strong database of information that allows us to track how we are doing for each newsletter. This supports our goals of creating products that residents desire and are excited to receive.

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

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There is always room for improvement. I don't know how they test their systems, but they should invite not-so computer savvy people to test it. If I, as an expert have problems, they need to think like the technophobe. Since I've used Constant Contact in the past as part of my former employment, I have not viewed any of the tutorials and just jumped in to work on my client's newsletter. With that said, I found some areas easy and some a bit cumbersome

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.

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No major problems in sending out the email campaigns and accessing the analytics

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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

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The system seemed quite slow sometimes. Specifically, there was sometimes a delay in sends if it was during a high traffic period. There were time-outs when uploading new code for an email, and a lag in reporting analytics which was sometimes as long as 72 hours

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.

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I think the overall support for Constant Contact has always been incredible; I have nothing negative to say. Our customer support representative was attentive, easy to understand, and very knowledgeable. I never felt like I wasn't a priority of his and my issues, while very small, were fixed in a very short time frame.

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

Implementation is very easy for someone who wants to send out the “batch and blast” type newsletters. If you want to use their templates with no customizations, the product works fine. However, the more customizations you get into involving link color, etc, that’s where things can get tricky for someone who may not be familiar with coding

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.

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Constant Contact is much more intuitive for people who are not tech-savvy. Also, while sendgrid offered more options in it's drag and drop interface, it displayed differently across different email clients, which made it very cumbersome to use. It also took much longer to upload contact lists and it was harder to manage existing contacts. Performance in sendgrid was much slower as well, and the Preview feature was quite buggy. Our team initially chose sendgrid because of the integration options that it's API offered, but we ultimately switched to Constant Contact because it was much easier to build campaigns and better suited our requirements.

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.

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Very reliable in sending email campaigns and controlling the recipients so that no contact is sent the same email more than once, even if they are on a resent list

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I am neutral because I have not had to look into scalability since I am using as a student.

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• I have had nothing but positive impacts from using Constant Contact.
• The church is large, and there are many subgroups and axillary groups within the church. Setting up specific groups based on responsibility, interest, member goals, and service needs allows me to send information quickly, saving valuable time for other tasks.
• Constant Contact allows leadership to stay personally engaged with the members I work with, without over-taxing my time. It feels so seamless.

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• 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.

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