Awario vs General Sentiment

• Monitor brand mentions & keywords across a number of platforms (Twitter, Facebook, Instagram, YouTube, Reddit, and blogs/websites).
• Advanced filtering by date range, country, negative keywords, domains, and more.

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• Using volume and association metrics to assess and predict trends and emerging topics
• Use the articles metric to drill down into specific posts, such as tweets, Facebook, blog comments, news articles
• General Sentiment has the ability to access password protected sites to access information that may not normally show up in standard internet searches

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• A better onboarding process would've gotten me hooked earlier
• Better ongoing training and support, perhaps a certification process, would make this easier to customize for niche use cases.
• Using advanced functionality would be easier with more hand-holding

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• The application does take time to start gathering data on a specific topic. As such, its important to include as many keyword search topics as possible, and also be sure to refine them as you gather data.
• The user interface isn't particularly intuitive, there is some work that could be done to streamline its use.

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• I've been able to find a handful of negative mentions about my brand that wound up being a misunderstanding - by responding to these complaints I was able to clear up misunderstandings, which helped retain customers and bring on new ones - it's hard to calculate exact ROI, but it's definitely been in the positive.

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• Social media analytics can accelerate the speed with which researchers can investigate a topic of interest, at a lower cost.
• Due to the low barrier to entry (e.g., most social media sites and blogs are free), data collection burden, as traditionally defined, is significantly reduced or eliminated. The absence of direct interactions between researchers and the study population may do more to mitigate sources of bias compared to other more intrusive forms of data collection (i.e., interviews, focus groups).
• Used to to gather unstructured data and feedback from Medicare beneficiaries, caregivers, advocates, and other stakeholders to identify systemic issues that beneficiaries encounter.

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