Data Solutions


The MassiveData Matrix™ aggregates and processes second-by-second television viewing data collected across a large number of markets and a wide range of devices. The Matrix scales as more markets and viewing platforms are added to the TVPanel™, and the Matrix ingests and distributes data reliably every day. For these reasons, the Matrix is built upon an Apache Hadoop architecture that supports large-scale dataset processing within a fault-tolerant, redundant hardware environment that is both highly scalable and massively parallel making it the leading choice for Big Data solutions.

As data comes into the MassiveData Matrix, it is cleansed and normalized so the resulting viewing events are consistent and complete regardless of their source (data collection technology or MVPD). In this process, a series of edit rules are applied to remove devices or events not suitable for reporting so that only high-quality, reliable data gets into the TVPanel. Next, the appropriate channel and program information is integrated based on the channel line-up for the source market. Lastly, the data is connected to anonymous household identifiers that allow the viewing data to be connected to first and third-party datasets to dynamically describe audiences while also strictly preserving privacy.


The Reveal™ Portal delivers real-time and scheduled report generation on the TVPanel stored within the MassiveData Matrix. It contains a set of standard audience measurement reports that rank and compare channels and programs. The Rank and Compare reports can be run for a specified date range and filtered by DMA, Zip code, and/or household demographics. Rank and Compare report on ratings, shares, reach, and total minutes viewed for live viewing as well as same-day, live+3, and live+7 based on DVR playback data. The Rank and Compare output is grouped by the top channels or programs matching the report criteria and is calculated down to the second, or rolled up to the minute or quarter hour.

In addition to the standard audience measurement reports, users can generate their own ad hoc reports within the Reveal Portal and save the reports for future use. All reports can be exported to PDF, Excel, or CSV formats.


MassiveData® uses data mining techniques to produce profiles on TVPanel households, individuals, and set-top boxes. The profiles are inferred using a proprietary statistical method from aggregate households without reference to any Personally Identifiable Information (PII). Complex analytics based on household composition, TV viewing patterns, and attitudes and interests are enabled via these models.

Every household contains thousands of descriptive characteristics including demographic, geographic, and behavioral features. In addition to the basic demographics commonly available, MassiveData incorporates attitudes, beliefs, and interests determined from behavioral information that is statistically propagated throughout the aggregated population of panel viewers.

MassiveData allows household and individual profiles to be segmented based on any combination of features as needed. Unlike conventional static audience segmentation that pigeonholes households into pre-defined groups, MassiveData segments can be created dynamically for any analysis.

Our Customers

“Partnering with FourthWall Media to produce the Mavs Team Widget is great for us.
We believe in the future of interactive television.”

- Mark Cuban, Dallas Mavericks owner 
on building the Mavericks Team Widget

“The buyergraphic approach to media has quickly gained favor with advertisers who seek to drive revenue and improve the return of each and every dollar spent on advertising. We continue to invest in methodologies, new solutions and collaborate with innovative companies like FourthWall to improve the benefits of our offerings. The alliance with FourthWall provides better reliability, stability and predictability to our clients.”
Mike Nazzaro, CEO, Nielsen Catalina Solutions
“What our relationship with FourthWall Media allows is access to a large stream of near real time set top box data. This data stream can be matched with individual voter information allowing Smart Media to know what specific programs voters prefer to view and when. It’s truly a revolutionary step for Smart Media and the political media buying industry, one that will bring a high degree of certainty to the media planning and programming decisions we make on behalf of our clients.”
Kyle Roberts, CEO, Smart Media Group
“With paid media, there is a huge opportunity to use data to be more targeted and efficient. We can save our clients substantial sums of money by optimizing their media buys, which is especially important for donor-supported organizations. FourthWall is exciting because it will mean more granular data, a faster turnaround time for our clients, and greater access to our services for small organizations and down-ticket races.”
Derek Turner, Director of Media Analytics, BlueLabs
“AMG is pleased to have entered into this agreement with FourthWall Media. We leveraged set-top box data and DVR data in 2012 to reach our audience by placing the right ads on the right programs. With FourthWall’s dynamic and granular data we are offering the same capabilities to consumer marketers who have been clamoring for better insights into their target audiences along with better efficiency in their media buys.”
Chauncey McLean, Analytics Media Group (AMG) COO
“Television continues to be campaigns’ dominant communications medium, but it has typically been the least data-driven. Integrating FourthWall’s exclusive data with Deep Root’s unique blended media database will help campaigns target their paid media in a far more effective way than they had previously.”
Alex Lundry, Co-founder of DRA
“If you look at campaigns and issue advocacy pushes, TV spend will generally represent 50-80% of budget, and yet the status quo is a surprising inability to ensure our TV creative is effective, and an inability to truly target our buys to segments in our vote file. FourthWall data will allow us to talk to the different segments of voters we have always seen in our vote files, but unable to target effectively on TV.”
Brian Stobie, Partner at 0ptimus.
"Simulmedia will use FourthWall data in combination with multiple other data sources…… enabling us to improve the value of the television inventory. That FourthWall Media provides demographic as well as second-by-second set top box viewing data will be invaluable in helping Simulmedia's media inventory partners increase yield and drive incremental revenue."
Dave Morgan, Simulmedia's founder and CEO
“Being able to target the right message to the right home is the single biggest opportunity awaiting the television advertising industry. Cable operators further benefit as they use significant local inventory for marketing their own products to existing subscribers. In a study we recently completed, examining 144 cable operator marketing campaigns covering an 18 month period, we found that ads that targeted their message to the right subscribers got a 70% better conversion rate than their overall campaign results.”
Seth Haberman, CEO of Visible World
“EBIF is driving advanced applications and services that are important to consumers and to Charter. We’re pleased to have successfully deployed FourthWall’s EBIF platform to our customers with Cisco set-tops and to have achieved this important milestone. Concurrent and FourthWall Media were key to our successful deployment and delivery of a universal platform to advertisers and programmers.”
Jim Heneghan, President, Charter Media