Talkwalker

Talkwalker is incredibly customizable. Once you've had a proper demo/training on this tool, honestly the sky is the limit with what you can do. I really enjoy using this product for social monitoring purposes and pulling data to build reports. It is a lot more accurate than other similar tools out there (that I have used) especially when calculating social sentiment. You can also build customized reports right on the platform or email reports!

The tool isn't the most intuitive or user-friendly, but with a proper training you will quickly learn how to use it. There is just soooo much you can use this tool for! I would say you need to be pretty familiar with boolean queries as it functions mostly on that.

It has lots of filters which give us many choices to make our data more specific and precise. Apart from this it visualization is awesome and that makes it very cool to use as we have everything on screen whatever we need. It is quite easy to use and query formation is also good. But the most important thing is that it has a separate dashboard thing in it which helps to segregate multiple clients.

Data mining is very poor and sentiment tagging is also very poor. No when can trust in its data as it could be wrong. Second thing is that it shows different data on the dashboard and when we download it then data count become different

I like that once I set up the keywords to track, I get daily digest emails of keyword mentions in social media and across the web.

There's nothing I would change about it. It is extremely inexpensive and simple to use. Very straightforward.

I like the very user friendly interface: it's simple to browse through its functions and features. Help pages are comprehensive and useful. Support is great: whenever you have doubts or problems, they are available to help you find the best solution to your needs (mail, phone, virtual meeting). It can scan many web properties (websites, blogs, forums, most social media) for keywords or hashtags. Keyword creation is quite easy, also for very complex "constructions" (with many operators letting you build any kind of expression). It is a bit pricy, but when compared to similar platforms it turns out that it's one of the cheapest.

Listening is very limited on Facebook and Instagram (because Facebook limits what's passed through its APIs, after privacy concerns of the past years). Automatic analysis of the sentiment of the mentions is not totally satisfying, requiring a lot of manual work to correct the platform suggestions. There is no analysis of the profiles who mention your keywords. In the end, it's very useful to track possible "crisis events", but it's not very useful if you want to analyze how certain topics or brands are treated on the web, to understand what people talk about and where this occurs.