General Sentiment (discontinued) vs. MutualMind (discontinued)

Determine what your research question or customer relations needs are to pick a tool that is a good match.

• 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

• MutualMind gives us a view into the reach of social content we produce on behalf of our advertisers and the engagement that content generates with shoppers.

• 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.

• MutualMind gauges sentiment around social conversations but does so with the standard margin of error found in most social analytics products. The nature of human conversation makes it difficult for a machine to categorize sentiment with 100% accuracy. MutualMind gets sentiment right between 50% to 70% which is within acceptable industry averages for this type of product. With additional tuning (which MutualMind provides) the accuracy levels will increase.

Social media tools are constantly evolving. I would want to be sure that my research question was complimented by the metrics and options presented by the social media tool. General Sentiment is very useful and innovative and their customer service was excellent. Their sales and customer service team was very helpful in onboarding our staff and being flexible with our needs.

Reliability and flexibility (MutualMind's willingness to jointly produce new functionality)

As a company that's only 3 years old, MutualMind's toolset is quite usable but it could use some tweaks in the user interface, which they are constantly working on.

During a recent upgrade period, MutualMind had a small window of unavailability. I am confident they have addressed the root cause and do not foresee any future issues.

The product's performance has improved greatly in the last year and we anticipate seeing additional improvements in coming months based no planned infrastructure changes.

MutualMind has always been quick to address any issues or questions we have.

Not really...MutualMind was very professional and helped with all stages of our setup and implementation.

As mentioned before, Radian6 and Sysomos Heartbeat.

• 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.

• By showing increases in engagement and share of voice (defined as the amount of content generated for our advertisers versus the amount of content generated for their competitors over time) we are able to correlate content to incremental sales data provided by our advertisers.