NetBase does everything we need
August 04, 2015
NetBase does everything we need
Score 7 out of 10
Vetted Review
Verified User
Software Version
2.0
Overall Satisfaction with NetBase
We're an agency with a strong backing in social media and social media analytics. We use NetBase on many client engagements to first decide what issues are relevant to a client, then develop messages that we know will resonate with those they're trying to reach. In some cases, the platform is used as a one-off tool to judge the success of prior campaigns.
Pros
- Scan all available information, not just those that are easily available like social.
- Create beautiful reports with charts, graphs, and customizable dashboards that can be re-loaded over time or auto-sent to clients.
- Provide support to existing clients--whenever we need anything, our representative is able to answer at a moments notice.
Cons
- Alert you just how much data you're pulling down, or will pull down if you commit to analyzing a topic.
- The user interface can be clunky, and sometimes it's confusing to know what filters you've applied over data.
- There's really no ability to work on a topic with other people. You can share the topic, but the other user is not able to change the search in any way.
2 - I lead the digital department, and there's one person who reports to me. I usually sell the product and structure the query, then the other person can pull reports and analyze the results.
- The product makes us look smarter as an agency because we truly know what's going in in the social landscape.
- The product greatly assists with new business because we can sound smart about a client issue even before starting an engagement.
- It is an expensive tool, and would be hard to justify if we didn't have paying clients who cover the full cost.
- Sysomos MAP,Brandwatch
From our experience NetBase had the best coverage of all the available information sources out there, which is a big plus when working on public affairs campaigns with issues that are talked about in many different ways. They also put a big premium on natural language processing, which helps to weed out many false mentions and inaccurate sentiment drivers ascribed to particular words or phrases.
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