The MRX Lab explores new and novel conversations from the fringes of the insights industry. Episodes 10 minutes or less.
Do you want to know how many people listen to MRX Lab? Or perhaps how many downloads it gets? Rephonic has scanned the web and collated all the information we found in our podcast database.
Today’s customers are connected, influential as individuals and have access to a global stage upon which to act. In this world, the dynamic between brand and buyer provides great leverage to customers, but also great opportunity to insight teams. more
Insight frameworks represent a formalised expression of the strategy, tactics and implementations of how research flows through a business. From the inputs, to the processes, systems and technologies that shape fieldwork, and eventually to the way in... more
To democratise data is to provide access, control and input over the research process to the end-users of data. There’s a huge range of benefits that this can provide, from better communication to more streamlined project management. But to create a ... more
Don't limit yourself to just MRX Lab though! Use our search tool to find other podcasts with a similar audience.
Upgrade your account to see how many people listen to this podcast and get an idea of how much it costs to advertise on MRX Lab.
Our ultimate goal is to save you time and help you get more subscribers, followers or customers.
To see the audience size of MRX Lab, simply upgrade your account. You'll find a whole host of extra information to help you decide whether appearing as a sponsor or guest on this podcast is right for you or your business.
MRX Lab launched 2 years ago and published 29 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Rephonic pulls reviews for MRX Lab from multiple sources, including Apple Podcasts, Castbox, Podcast Addict and more.
You can view podcasts similar to MRX Lab by exploring Rephonic's 3D interactive graph. This tool uses the data displayed on the 'Listeners Also Subscribed To' section of Apple Podcasts to visualise connections between shows.