CleverMaps vs. MutualMind (discontinued)

If you need to characterize the loaded data with statistical parameters, it is preferable to do the analysis previously and only load the results for the software to show them. This does not detract from the software, it is simply impossible to "have the best of everything" in a single application.

Incentivized

• The response of the software to the requirements has been consistently fast. Only in extreme cases where the speed of the internet system present in the site where the tool is being used is extremely slow, we have recorded delays in accessing information.
• The software allows the possibility of several people located in different geographic locations, simultaneously accessing the same information, without interfering with each other.
• It has made it possible to detect "information gaps" that were thought to be non-existent, and that resulted in expedited decision-making, to try to fill the gap or to find alternative solutions, not initially contemplated.

Incentivized

• 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.

• It is not functional if it is intended to be used in small mobile screens, since to achieve an adequate visualization of the maps and the side panel, at least one screen the size of a tablet is needed.
• There are times when you do not want to show (for reasons of confidentiality or for commercial reasons, for example) all the data that is associated and loaded in the database. So far we have not found a way to load the data in a way that ensures that "sensitive data" is displayed only when desired, and not automatically with the data set in general. The option is possible. Research is continuing on this.

Incentivized

• 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.

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.

With sincerity, the company has not opted in particular for any of these applications. It has evaluated the benefits and weaknesses of the named applications and other additional ones that are not included in the previous list. As it happens with almost everything in life: there are skills and potentialities of a software that are more applicable in certain fields of work, and for certain characteristics inherent to the data that it handles. Within this same company, there are applications that are more useful for a certain type of data and information and less versatile for others.

More important is the knowledge that must have, about the data and processes involved, the person who has the responsibility of selecting a certain software.

Incentivized

As mentioned before, Radian6 and Sysomos Heartbeat.

• It allowed detecting "information gaps" in places where it was not expected that this scenario could occur.
• It has made it possible to quickly visualize, locations where, although information existed, this information was relatively old, or of low quality compared to that which can be obtained with the most recent technologies.
• The detection of these scenarios improved the level of satisfaction that the company routinely asks of its clients, who stated that they are highly satisfied with the level of knowledge that the company has in relation to information, especially the historical records, that in our field of action is of high importance.

Incentivized

• 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.