Quid Overview:
What is Quid?
Consumer and market intelligence platform that helps businesses manage campaigns, product development, brand crisis, and more.
Who Uses Quid?
Where can Quid be deployed?
Overall rating
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Starting Price
Free trial
About the vendor
- NetBase Quid
- Founded in 2004
Quid support
- Phone Support
- 24/7 (Live rep)
- Chat
Countries available
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Brazil, Japan, Mexico, United Kingdom, United States
Languages
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Chinese, English, French, German, Japanese
Languages
Languages that the product is available in.
- Chinese
- English
- French
- German
- Japanese
- Portuguese
- Spanish
- Traditional Chinese
Features of Quid
Capterra verified reviews for Quid
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Overall rating
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"Netbase reigns supreme"
"NetBase Quid"
"Great tool, good price."
"Powerful tool in the right hands (requires training on boolean querys)"
"NetBase is a very powerful platform"
Their NLP is very strong with the ability to distinguish subject in sentences and then apply analysis based on either the subject or sentence. Competitors lack strong NLP and often have lower degrees of accuracy.
The platform is highly flexible with dozens of ways to filter and cut the data. It is great for an analyst that really wants to deep dive into the data. However, the analysis done automatically by NetBase is also strong enough that less experienced users would still be able to gain insight with ease.
The customizable dashboards are perfect for client reporting and drastically reduce the amount of time spent preparing recurring reports and decks. These are also very flexible depending on reporting needs. Cons: I have a lot of experience with writing boolean queries in social listening platforms, and NetBase's option for boolean is not as user friendly. Getting familiar with the platform's more basic query structure when not using boolean also requires a slight learning curve (if you are used to boolean).
Even for all of it's strengths, it gets pretty pricey for only a handful of users. For an agency that requires multiple seats, this can add up very quickly.
If having 100% of data is necessary (e.g. for tracking a Twitter hashtag campaign or sweepstakes), you must enable the firehose. Otherwise the decahose is used and then the sample is projected to estimated universe count. Not a problem for some situations, but definitely a problem for others.