Supermetrics vs IBM SPSS Statistics: Which is a better fit?

Speaker 1: Hi, my name is Andrew. I'm an SEO manager. I would give Supermetrics a four out of five. And for more reviews like this, see below. Prior to Supermetrics, we really just used manual pulls from Google Search Console, Google Ads, really all of our different sources. And these solutions took very long to do, and they were very cumbersome, and Supermetrics really allowed us to make it much easier for our data scientists. So we chose to go to Supermetrics because of the many different data sources that it allows you to integrate, as well as the flexibility of the extension. We are able to do many things with the extension that we were not able to do previously. Getting started with Supermetrics was incredibly easy. There really is no legwork that you need to do on the site or on the client side. Everything is really done in the cloud, so that's the beauty of Supermetrics. So, I would advise anyone looking at Supermetrics to establish what data sources they want to integrate, and obviously make sure that Supermetrics meets those data needs.

Michael A.: I'm Michael. I am a market researcher and a digital transformation specialist. I work at a company size that's over 5,000 people, and I am a five out of five with IBM SPSS. I use IBM on a day-to-weekly basis for a lot of analyses, especially survey analyses, market research data. What I like most about SPSS is ease of use, its user-friendliness. It's a resemblance of Excel in functionality, except you have a lot more power and capabilities with it, and it's this familiar interface and expansiveness of value delivery that makes it a solid choice for users without as much technical specificities to deliver big insights and value. I like pretty much everything about it. It continuously improves and I'm not sure what's on the road map for it in terms of the bigger IBM picture, so I can't really say what I don't like. I'm sure they continuously roll out better things as time goes on.