Great for comparisons, but not good for deep dive analyses or audience demographics
August 04, 2015

Great for comparisons, but not good for deep dive analyses or audience demographics

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with NetBase

NetBase is being used to gather audience insights on social response to a brand, a campaign, an event, or a trending topic. We particularly look at how a brand is being received, themes in conversation, why people like/dislike a brand, and how the conversation has changed over time (both in volume, sentiment, and conversation themes). We use NetBase for our current clients as well as potential clients. It's used by 7 strategy analysts to provide information cross-departmentally. We use NetBase to understand our audiences!
  • It's great at comparing volume and overall sentiment between multiple brands or topics (ie. calculating a brand's share-of-voice in the category)
  • It's an incredibly easy-to-use interface. Easy to read, easy to understand.
  • I like that i have the option to turn on the firehose to get all posts.
  • I'd like to see an easier option to create queries in BOOLEAN language (instead of "primary" and "include" keyterms)
  • I'd like to get more audiences demographics (age breakdown, education status, income level, maybe even attitudinal psychographics)
  • I'd like to be able to manually train the algorithm for what is "positive" vs. "negative". For example, video gamers may be sarcastic and it'll be perceived as negative by Netbase, when it was really a positive comment.
7 - Analytics and data strategists
  • Helped us win new business via competitive insights
  • Helped us increase our scope of work (we now do social listening reports for some of our clients).
NetBase is the easiest to use interface with excellent comparison tools. It also goes back 8 years worth of data.
It's missing audience demographics, which is a huge part of audience insights.
NetBase a really good option if you just need top line volume and sentiment analysis. It's a lot less informative when you need to do a deep dive into themes of conversation. It's also not very good at pulling lots of verbatim examples of Tweets to show as an example in our presentations.

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