
We originally subscribed to YouScan for its TikTok data, this is where it helps us the most, but we have found it to be very useful with Instagram, Reddit, YouTube, and X data as well. We use a variety of listening tools in our work, depending on the client and the type of project but because TikTok has become so hard to ignore if you’re trying to understand how people talk about brands online, YouScan has proven essential to our work. So much conversation happens on TikTok first, so having access to this data makes our work easier.
Additionally, we’ve used YouScan for review data. That has been helpful on a few projects where social posts alone didn’t tell the full story. Reviews can reveal a different kind of user feedback, and aids our analysis alongside social conversations.
In general, we keep track of what platforms are building and improving on over time. Our work changes from project to project, so it helps when a tool keeps adding new features and expanding what it can do. Review collected by and hosted on G2.com.
Our team tends to do fairly deep analysis, and we usually combine several data sources together. Because of that, we often export data and work with it in other systems. Some built-in AI features are less important for our workflow since we’re already processing the information in other ways.
Another thing we noticed while testing visual logo detection is that it needs some careful setup. If a logo shape is very simple, it can sometimes match things that aren’t actually related. That’s not unusual for visual recognition tools, but it does mean you need to spend some time cleaning up the search.
Lastly, we have run into some challenges with the time required for historical collection. While timing can vary depending on the complexity or size of a topic, these inconsistencies can sometimes lead to analyses being completed down to the wire. Review collected by and hosted on G2.com.






