MutualMind was an enterprise listening platform with engagement and publishing features and analytics, that is now discontinued after the company's acquisition in 2016.
$1,000
per month
Unmetric (discontinued)
Score7.2 out of 10
Enterprise companies (1,001+ employees)
Unmetric was a SaaS platform for intelligence on an organization's social media efforts and the efforts of their competitors on social media. It provided data across Facebook, Twitter, YouTube, Instagram, Pinterest and LinkedIn. Its capabilities are now supplied by Brandwatch.
Unmetric is great when you need to do quantitative analysis of social media posts, whether you own the posts or not. Newer features like segment creation where you can get results by keyword or category are amazing time-savers for certain tasks (like if you're looking at posts about fruit and want to see how posts that mention "bananas" perform you can do that right in the dashboard). Hopefully, they'll soon allow you to build and save those filters so you don't have to recreate them every time you do a task. While in the past I'd only recommend this platform for keeping a pulse on unowned content, the new tools make the platform useful even for reviewing owned content, as you may be able to save time on content coding tasks- it seems like that's the direction they're headed anyway
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
The interface is slightly different for each social channel, which is confusing for novice users. I wish they'd standardize their naming schemes and dashboards, to the extent they can be with the different platforms.
They'll add and implement new features but won't tell you- I came back into the platform to discover they'd applied a weighting scheme to my engagement rate that messed up my findings.
Sometimes the platform just stops working.
Support sits in India so there's no way to get answers fast if you have a question or issue.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
I haven't used Simply Measured in a few years, mostly because it was just too expensive for what we needed it for and Unmetric provided what we needed at a reasonable price. I also had an issue with how big the Simply Measured files were- they often froze analysts' computers, and the first task was to delete unused tabs to reduce the file size.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
