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Neutronian webinar with industry expert perspective on the importance of a standardized data quality framework.

What role can a Data Quality Scoring framework play in resolving the Identity crisis now that the world has gone cookie-less and over 80 Identity related players have launched? How can such a framework be used to increase transparency and reduce compliance risk in MarTech?

Data quality scoring that identifies the best in class datasets

Marketers are faced with a broad array of challenges that include the increasing dominance of the walled gardens, the growing regulatory risk based on new laws from various states and countries, and the elimination of the traditional cookie-based advertising identifiers. To solve for these issues, marketers are being encouraged to leverage their 1st party data and mix it with a variety of 2nd party and 3rd party data sources to achieve the necessary scale from which to execute their campaigns.

Released in July 2020, MediaMath’s whitepaper Preparing for a Post-Third-Party Cookie World: Identity & the Future of Online Advertising explains how identity works today so brands can be informed for tomorrow. The premise for the paper stems from a societal need for a thriving open ad-supported Web where publishers, brands and people all benefit from value exchange. We shared tips on what marketers can do today in order to not only prepare for future standards, but how they can help design a better ecosystem—one in which consumers continue to get the content they love while feeling certain that their data privacy is respected.

We are pleased to follow up to our “Identity 101” with this playbook, your guide on the available options that will empower you to take advantage of first-party identity, so that you can play a role in the mission to usher in a better ecosystem for brands, publishers and consumers.

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compliance safety, brand safety, mobile advertising, privacy

Ad measurement firms have long preached the need for Brand Safety tools as a core pillar of digital ad campaign verification, to go along with viewability and IVT/bot detection. The ongoing evolution of privacy regulations like GDPR and CCPA have caused the entire marketing ecosystem to place a bigger focus on compliance preparation and internal documentation.

 It's Easy as 1-2-3: Breaking down First, Second, and Third Party Cookies

Over the course of time, cookies have become the bread and butter of the Internet. Most commonly used for identifying users online and providing a personalised browsing experience, cookies play an essential role in the machinery of digital marketing. However, not all cookies are created equally—for marketers, it is important to understand these differences in order to know how trustworthy your data is, and how relevant it is to your campaigns.

Beginner's Guide to Federated Learning & Differential Privacy

It should come as no surprise that the marketing industry is riding a wave of change. In the wake of prolific data breaches and prominent scandals, consumers are demanding better protection of their personal information. In response, lawmakers are listening, introducing expansive data privacy regulations. Marketers have had to re-assess the way we collect, disseminate, and store sensitive information—learning to put privacy at the forefront and leaving behind the insecure and invasive methods of yesteryears.

Discover how location intelligence produces powerful retail insights that can drive brand performance. Cuebiq and GasBuddy examined over 121 million consumer trips to C-Store and Fuel Retailers in 2017. Our latest Footfall Traffic Report sheds light on retail insights, consumer behaviors, trends and a 2018 forecast provided by CSP.

Key Retail Insights Include:

Retail Intelligence: How Brands Can Drive More Visits and Create a  Better Consumer Experience

2017 in Review: Top Brands, Visit Trends, Consumer Habits,  Shopping Preferences and More

2018 Forecast: Data & Analysis by CSP

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Anil Mathews, Founder & CEO, Near
Brands today collect multiple data points across consumer interactions, ranging from key promotional events and social comments to consumer whereabouts and inquiries. One of the key challenges faced by brands and enterprises is to fuse these multiple data streams in real-time and act on them. Overcoming this challenge would redefine how brands interact with their consumers using data today. Here is how: 1. A power shift
Visualizing the World Series Through Mobile Geo-Data By Nicole H. Romano Ph.D. – Data Scientist, RadiumOne Bay area natives are well aware of the riots (and tortilla throwing) that erupted in San Francisco’s Mission neighborhood after winning the 2014 World Series. And the 2012 World Series. Oh, and the 2010 World Series. But how did the rest of the Bay Area celebrate? We utilized a rich source of non-personally-identifiable mobile geo-location data, allowing us to visualize how the Bay Area celebrated the Giants’ World Series win. In order to make all of this amazing data come to life, we evaluated three components: • The most popular neighborhoods for celebrating a World Series win • The migration of SF’s bar hoppers post-game • The World Series parade patterns Let us break this down for you both in numbers and visuals. World Series Game 7: The Numbers • Total zip codes represented in San Francisco: 2,024 • Bay Area: 344 • International: 76 San Francisco Population breakdown: • SF locals: 52% • Bay Area: 30% • US: 25% • International: 1%
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