Acoustic Campaign (formerly IBM Watson Campaign Automation) is a scalable, SaaS-based, cross-channel, digital marketing platform providing digital marketers the ability to implement and manage email, mobile, social, and lead management campaign processes.
N/A
IBM SPSS Statistics
Score 8.5 out of 10
N/A
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).
Silverpop is a powerful and comprehensive tool for digital marketers, and is apprprioate for companies of varying sizes, as well as both B2B and B2C models. It's particularly well-suited for companies with large, accurate customer databases and the ability to track customer actions on their websites to use as marketing automation triggers.
SPSS is well-suited for the following: 1) User Behavior Analysis: SPSS handles large datasets to analyze user behavior data. 2) Customer Satisfaction / Foundational Surveys: SPSS facilitates analysis of quant data from satisfaction surveys, keeping us informed about customer needs and preferences. 3) A/B test analysis: SPSS statistical tools for A/B test analysis, which helps optimize user experience of our products. Scenarios where SPSS are less appropriate: 1) Qualitative Data Analysis: I do not use SPSS for open-ended survey responses/qual data. 2) Live/in-vivo data analysis: SPSS is not ideal for real-time data processing. 3) Complex Data Integration: SPSS isn’t the best fit for complex data integration tasks
Automated Messages - we currently have over 70 automated messages going out on any particular day through feeds and API calls that we pass to Silverpop. We rely on these automated messages to communicate to our customers and can rely on Silverpop to always be up and running to get these messages out.
Robust query building - We can target customers easily based on a combination of demographic profile data, as well as email and site behavior and purchase behavior, allowing us to finely segment our audience
Deep dive reporting - the UI reporting, as well as the available reports to download through the API give us tremendous insight into how our subscribers are responding to email.
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.
Data syncing and errors - Silverpop does not do a great job of getting data to sync regularly with our CRM (Salesforce.com). The data had to flow back and forth several times before being added to campaigns and in some instances, it took days to update leads! Also, failed lead syncs get stuck in an alert list but it does not notify you otherwise that a lead failed the sync.
Design issues - we use custom HTML to build emails and landing pages, and we were unable to render background images on our campaigns. Also, once you toggle between design and source (code) view to make edits, it often broke the code and threw off the design.
Administrator alerts - when sync fails altogether between systems, there is no email alert sent to the system admin (me/my team) so we at times have found that we have gone 18 hours until we stumble across the fact that the system sync has failed.
Reporting - it is not very comprehensive and we had difficulty generating the level of reporting that we need to have.
Support - there are a few gems in the support team who know what they're doing, but largely calling support is a lesson in frustration.
Product bug fixes - in two instances, my open support tickets were identified as product bugs. One related to incorrect cookie tracking which was causing our leads not to be scoring properly. They determined that this wasn't critical enough to build into their product fix road map. This is core to an automation system working properly.
It would be beneficial to have AMOS as part of the SPSS package instead of purchasing it separately.
It would be beneficial to have other statistical tests, such as PROCESS, be part of the standard SPSS tests instead of having the need to run a syntax to have it installed.
My dataset tends to be smaller, and I have never had any issues with using SPSS. I heard that SPSS may not be optimal when handling large datasets.
SilverPop is a great marketing tool that integrates with Salesforce to provide customers and employees a great buying and selling experience. The software takes some very difficult tasks and makes them easy to accomplish. With proper setup and management, Silverpop gives you the tools to gain insight into the productiveness of campaigns.
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
This is a little bit difficult to rate because Silverpop is gradually updating its interface to improve usability all around. I know users are able to do their job with minimal assistance. However, some of the interface is dated, and the Programs interface, while functional, has a bit of a learning curve.
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.
While several of the other reviews have mentioned poor performance in this department, we have only had one situation where the system was down (although it was down for several hours). Silverpop segments its clients on different servers, and I know that the problem we experienced only occurred on our specific server (maybe other servers have had their own problems?) but our service has been reliable otherwise.
The Salesforce Integration support team is fantastic. I'd give them greater than a 10 if possible. The rest of the support team can be extremely frustrating to work with. Too often they try to blame something obscure and refuse to escalate or look into the issue. And on occasion when you find system glitches they don't seem to care about fixing them
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
The online trainings are very detailed (for the most part) and really walk through the entire system. They are a little dry, but they are usually broken up into segments to allow you to skip to the parts you need.
Based on recommendations from Silverpop we made some implementation decisions that we later regretted pretty substantially. In hindsight we should have started a pilot implementation earlier so we could learn and then start over. The big issue for us was that Silverpop recommended a non-keyed database, or at least a database that doesn't use email address as primary key. This is resulted in a large number of duplicate email addresses so that the end user is forced to unsubscribe multiple times to stop receiving emails.
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.
We evaluated alternate providers less than a year into our IBM Watson Campaign contract because the system was so clunky to use (and we wanted a system that would include or better integrate with our SMS provider). Bluecore and Klaviyo were the front runners at the time, and we came close to moving forward with Bluecore. The pricing model and overall the cost of Bluecore was much higher than IBM for us though, and the timing of this was right when the IBM to Acoustic changes took place. We decided to give Acoustic a shot and are optimistic it will be enough to keep us on board once all the dust settles, though I find it unlikely we will renew with Acoustic when our contract is up again. My main email specialist is a Klaviyo expert and finds that platform very easy to use in comparison-- it might be a better fit for a team of our size.
I have used R when I didn't have access to SPSS. It takes me longer because I'm terrible at syntax but it is powerful and it can be enjoyable to only have to wrestle with syntax and not a difficult UI.
we have not experienced any currently but moving to lead automation and lead scoring could change that.
i'm not sure how increased employee efficiency would ever be a benefit b/c lead importing and visibility, along with setting up email templates is quite cumbersome.
