Context Adjacency: A Data-Driven Approach to Concerns Around the Risk of Content Adjacent to Ads
OCTOBER 12 @ 12:00 PM – 1:00 PM ET
12:00 – 12:05pm
Welcome
Paul Donato — Chief Research Officer, ARF
12:05 – 12:30pm
A Data-Driven Approach to Concerns Around the Risk of Content Adjacent to Ads
In today’s advertising world where consumers see ads alongside various types of content, brands have become increasingly concerned about the risk of their advertisements being placed next to unsuitable content. Past research on this topic is not always aligned with the current industry standards, especially as the industry continues to evolve at a rapid pace. Meta partnered with Neurons Inc to build the foundations for developing data-driven definitions and measurement tools for context adjacency with the goals of 1) creating a data-driven understanding of adjacency and 2) understanding the actual impact on brands. Join Meta’s Ads Research team as they walk through the work that was done to determine how businesses can not only reach their audiences, but crucially build more meaningful connections with them.
Kumi Harischandra — Quantitative Research Manager, Meta
Giseob Hyun — Ads Research Lead, Meta
12:30 – 12:40pm
Certification of Meta Project
The ARF has conducted a certification review of the Meta project and will opine on the fitness for purpose of the methods, the accuracy of the calculations and the interpretations of the results.
Paul Donato — Chief Research Officer, ARF
12:40 – 12:55pm
Panel Discussion: Concerns Around the Risk of Content Adjacent to Ads
Kumi Harischandra — Quantitative Research Manager, Meta
Giseob Hyun — Ads Research Lead, Meta
Paul Donato — Chief Research Officer, ARF
Moderator: Neal Thurman — Co-founder, Brand Safety Institute
12:55 – 1:00pm
Closing Remarks
Paul Donato — Chief Research Officer, ARF