Gremln vs. MutualMind (discontinued)

I feel that Gremln is a perfect tool for someone looking to manage several (many) social media sites in one application. It's easy to set up and learn to use, and for what Gremln provides it's inexpensive. Can easily be managed by one person.

• Recurring tweets.
• Scheduling tweets.
• Posting to multiple accounts.

• 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 dashboard could be resigned to be visually appealing by creating a better use of white space.
• Make the scheduling post tab more prominent.
• Rather than have the columns vertical, my preference it would be to horizontal stacked.

• 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.

Currently, my company is rebranding itself: new name and restructuring the business. So we will sign up under the new company name. We recommend that our clients use Gremln as well and we then manage their social media accounts. They have also given us postive feedback about how easy it is to use.

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

The usability on the listening side is poor. The process to set up streams is not very intuitive, involving too many steps. Also, the ability to create custom search streams is fairly well hidden. The reporting is pretty weak as well, with separate click through reports from other types of engagement, and a lot of engagement types within Facebook and Twitter are simply missing.

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.

I have had no issues with availability

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 did what it said it would and even the more complex parts of the program we eventually got working.

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.

The were attentive to my needs but I had and responded in a timely manner.

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

The inline videos are very clear

Be patient. Identify what you want to know how to do first and learn the basic functions then move onto the more complex features.

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

I have used both Hootesuite, Twitterscope and Grmln. Using the individualized brand platform (Twitterscope) still meant that had to separately post to my other networks. Hootesuite is comparable and the only thing that really makes it standout is the the social media management certification. The downside of that is that you have to pay continue to pay a monthly fee to maintain the certification. Grmln is simply easier to use

As mentioned before, Radian6 and Sysomos Heartbeat.

The product delivers what it says it will and is useful for making your time more efficient.

• Gremln has helped us reach way more customers than trying to post separately in each of our social media platforms.
• We have better customer interaction and feedback after being able to post across many outlets.
• Employees have more time to focus on answering questions, interacting with customers, etc now that they can set up and monitor posts with Gremln.

• 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.