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
Tealium Customer Data Hub
Score8.7 out of 10
Enterprise companies (1,001+ employees)
The Tealium Customer Data Hub powers capabilities across the data supply chain. Tealium universally collects customer data from any source including; websites, mobile applications, devices, kiosks, servers, and files. Data collected is then standardized in the data layer, which drives usage of data for customer engagement and analysis.
Well suited: Any company that has a variety of data interspersed across multiple systems and is trying to get a more unified understanding of their customer profile—that enriched customer view of having all these disparate data sources and wanting to bring them together in a relatively seamless manner, and then having that more nuanced understanding of the entirety of the customer and being able to action off of it. Which again, I feel like is a core marketing use case.
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.
Activation in real time - it's really good and you can literally see the information being activated in all other technologies that my clients use, like TikTok, Facebook, Google, et cetera. At the time that a client arrives on your website, you have instant data to enrich the profiles and activate on this channel. So this is really good and it's something that Tealium give us the control in order to do that.
The other thing is that you have the power to choose what data you want to collect and what data you do not want to collect. Tealium is particularly very good on doing that.
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. TR verified that a representative sample of customers was invited. 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.
Audiences—don't they technically exist in Tealium? They are just streamed—no count, no backfill, etc.
Working backward to identify issues involves lots of clicking in the UI, going from audience to audience attribute, badge to event attribute, and so on.
You have to wait for a Real-Time event to see the payload. There is no sample or other option.
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. TR verified that a representative sample of customers was invited. More Info
I already know that my company has no plans to discontinue use of Tealium. We are heavily reliant on it due to a huge number of product teams and developers we would have to work with to place tags across many pages. Tealium is already there on the pages, and our application/product teams are familiar with how to integrate it. It is just the simplest way to ensure that new data requirements are implemented in a timely manner.
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. TR verified that a representative sample of customers was invited. 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.
Once you understand how it works and how to implement things, it is a dream and very user friendly. There is the initial learning curve but there are oceans of helpers available to you to help you bridge that initial gap and get going. Take the time to learn it up front and you will never have any problems. And support is great and available to answer questions
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. TR verified that a representative sample of customers was invited. More Info
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.
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
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.
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. TR verified that a representative sample of customers was invited. More Info
The support team often is so quick to respond and so helpful when it comes to working with the needs of my clients and being able to resolve potential shortcomings or technical issues or surrounding the tool. There have been times more recently that I’ve gotten more generic service rather than the tailored experience that I have come to expect.
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. TR verified that a representative sample of customers was invited. More Info
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
Implementation had some bumps in the road and it was new for all of us, but for the most part, it was easier than many other implementations we've done with other technologies.
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. TR verified that a representative sample of customers was invited. More Info
Tealium Customer Data Hub can do it all in one. Whereas, I think by using multiple Tealium Customer Data Hubs, we can utilize what each tool is really good at. In an ideal world, we'd like to use Tealium Customer Data Hub for everything, but one thing that we struggle with is Audience Segmentation, and we are looking for a one touch solution, without a lot of the work since the data is already there.
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. TR verified that a representative sample of customers was invited. More Info
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
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
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.
There has been a near immeasurable return on customer data and improvement of our quality for our physical products due to be in tune with the customer. This has changed our way of doing things for the better to gain a better flow and overall workplace experience.
A negative is that Tealium AudienceStream becomes harder to manuever and use data analytics for when a database has been existing for a fairly large amount of time. It goes from an agile ship to a huge vessel that takes many components to be able to move.
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
