MutualMind was an enterprise listening platform with engagement and publishing features and analytics, that is now discontinued after the company's acquisition in 2016.
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PageLever (discontinued)
Score 7.0 out of 10
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PageLever was an analytics platform for measuring brand presence on Facebook. The company was acquired by Unified Social (now "Unified") in January 2013, and the product is no longer offered separately from the Unified platform.
Pagelever has an amazing team that helps clients get what they need. They understand the needs and are there to help you get the benefits you need from your competitors. In comparison with some other vendors we have worked with, they adopted a true partnership approach. They are very good at listening to what we wish to achieve and then helping us tweak the product to meet our goals. We were initially on the Professional plan and even before we eventually upgraded to the more fully-featured Agency plan, they were very willing to work with us to make sure the product did what we needed it to do. Moving to the Agency plan was great since it gave us additional agency features that were very important such as giving our clients automatic acces to their data and allowing us to set up custom KPIs and custom reports.
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 has amazing in depth of data about Facebook Pages. For example, it shows us how exactly content is being consumed over time. We can easily see segmented data showing what content is being consumed by which demographic groups. It's also very easy to incorporate all this data into a a usable report which can be share with our clients.
Analysis with competitive streams: We can compare metrics across client accounts to quickly spot anomalies or see if, for example, low click-through rate is specific to one client, or is common across our account base and possibly due to external factors.
Very easy to use - great usability. The product is quite flexible and we can easily configure custom reports with dashboards and KPIs that are specific to our client's use cases.
Client access: Clients can log-in to the system to see customized reports that we configure specifically for them. This is a huge advantage.
The ability to track changes in metrics over different time periods is also extremely helpful. This is often a key metric for our clients and it is very simple to pul this data from the system.
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.
PageLever is a fantastic product for agencies. The ability to customize and easily share metrics with our clients is key. Many other tools are great for corporate use, but PageLever is a particularly effective tool for agencies working with multiple clients.
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.
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.
Great data that can help a lot in decision making. For example, as the system provides very granular, real-time data we can easily see if certain posts / conntent is resonating with the target deomgraphic group or not. If we are trying to appeal to males between the ages of 35 and 45, it's quite simple to see if our messaging is effective in reaching this group. We can do A/B testing and test different things until we find the content that resonates most strongly with this demographic group.