Journal of Measurement
WELCOME TO THE NIELSEN JOURNAL OF MEASUREMENT
The Journal dives deep into the technical and methodological measurement work happening every day at Nielsen. Our third issue of the journal focuses on the new world of television measurement. Download the full journal or explore the featured articles individually to learn more. You can also read shorter snapshots that provide updates on other important work.

Featured Articles

The Big Picture: Technology to Meet the Challenges of Media Fragmentation
By Arun Ramaswamy, Chief Engineer, Nielsen
It’s a great time to be a media consumer. New streaming technologies with over-the-top (OTT) apps, connected devices and social media are redefining the media landscape. While traditional linear TV offers an increasing array of new channels and new features (e.g., cloud-based DVR), OTT providers are making their mark with curated and skinny bundles for live programming choices. Exclusive content from OTT and subscription video-on-demand (SVOD) providers is exploding. Consumers can truly choose to watch anytime, anywhere and on any device.

Co-Viewing On OTT Devices: Similarities And Differences
By Kumar Rao, Kamer Yildiz, and Molly Poppie, Data Science Methods, Nielsen
When we watch television, we often have someone else in our household watching with us: a spouse, a child, a roommate, even a family guest. That behavior is called ‘co-viewing,’ and it’s been a topic of intense social research for as long as television has been around.

Using Machine Learning to Predict Future TV Ratings
By Scott Sereday and Jingsong Cul, Data Science, Nielsen
TV ratings are used to predict the future. They set expectations and affect programming decisions from one season to the next, and they help set the cost of advertising (advertising rates) well in advance of when a program goes on the air. In the U.S. for instance, TV networks sell the majority of their premium ad inventory for the year at the “upfront,” a group of events that occur annually each spring. For each network, the upfront is a coming-out party to introduce new programs and build up excitement for the upcoming season, but behind the curtains, it’s very much a marketplace for advertisers to buy commercial time on television well ahead of schedule.
Snapshots

Measuring The Impact of Advertising One Purchase at a Time
By Leslie Wood

Fuzzy matching to the rescue: aligning survey design across time
By Jennifer Shin and Gan Song

Understanding Memory in Advertising
By David Brandt and Ingrid Nieuwenhuls
LETTER FROM THE EDITOR
EDITOR-IN-CHIEF
SAUL ROSENBERG
MANAGING EDITOR
JEROME SAMSON
REVIEW BOARD
PAUL DONATO
EVP, Chief Research Officer
Watch R&D
MAINAK MAZUMDAR
EVP, Chief Research Officer
Watch Data Science
FRANK PIOTROWSKI
EVP, Chief Research Officer
Buy Data Science
ARUN RAMASWAMY
Chief Engineer
ERIC SOLOMON
SVP, Product Leadership
The world of measurement is changing.
Thanks to recent advances in data collection, transfer, storage and analysis, there’s never been more data available to research organizations. But ‘Big Data’ does not guarantee good data, and robust research methodologies are more important than ever.
Measurement Science is at the heart of what we do. Behind every piece of data at Nielsen, behind every insight, there’s a world of scientific methods and techniques in constant development. And we’re constantly cooperating on ground-breaking initiatives with other scientists and thought-leaders in the industry. All of this work happens under the hood, but it’s not any less important. In fact, it’s absolutely fundamental in ensuring that the data our clients receive from us is of the utmost quality.
These developments are very exciting to us, and we created the Nielsen Journal of Measurement to share them with you.
Saul Rosenberg
Archive
Volume 1, Issue 2
Featured Papers
From theory to common practice: consumer neuroscience goes mainstream
Using single-source data to measure advertising effectiveness
Using crowdsourcing and image processing to automate data collection
Snapshots
Kit and caboodle: a software development kit to measure all digital TV impressions
Using machine learning to predict future TV ratings in an evolving media landscape
NOTT alone: is OTT making it cool again to watch TV together?
Volume 1, Issue 1
Featured Papers
The value of panels in modeling big data
Using consumer measurement to bring the internet of things into the mainstream
Snapshots
New automation process improves “universe estimates” for retail establishments
From theory to common practice: consumer neuroscience goes mainstream
Advertising’s holy grail: connecting ad exposures to in-store sales
May I have a copy of your receipt? Crowdsourcing data collection
https://www.qa.nielsen.com/us/en/insights/article/2016/journal-of-measurement/