John Watts of CIMM moderated a panel examining presentations on innovations and changes in video measurement on day three of AUDIENCExSCIENCE 2022. The topics in this discussion included the decline in linear television, measuring new viewing habits, challenges created by the new viewing ecosystem and getting access to more personalized one-on-one data.
In this presentation, Justin Fromm of LG Ads discussed how ACR data can help uncover the inefficiencies of ads delivered via linear television. In this session, the speaker examined linear TV as still playing a vital role for advertisers. Additionally, he pointed to changes in consumer viewing habits, shifting towards streaming. He noted much of the advertising industry’s focus is on incremental reach when placing an ad on television. Leveraging ACR data, the speaker demonstrated how this more robust data source can help improve optimal reach and frequency, when advertising on television.
Insights across all touchpoints during the customer journey reveal an optimal allocation of the marketing budget and enables personalized messaging to specific targets. Marketers must be able to analyze the customer engagements during this journey for attribution and to maximize ROI. However, there are challenges for marketing due to GDPR, as well as U.S. privacy regulations and the cookie deprecation actions of Google and Apple. Additionally, 76% of consumers are concerned about how their data is being used. These challenges have resulted in the loss of scale and addressability, as well as targeting and measurement limitations.
In this presentation James Lamberti, CMO of Conviva, discussed opportunities for streaming platforms because of their measurement capabilities, particularly behavioral segmentation. The speaker examined the features of streaming platforms and exemplified how data gleaned from these platforms can lead to deep audience understanding, providing a more personalized and customized experience for the consumer.
In this session, Anastasia Leng of CreativeX argued that marketing and creative have the power to change things. In the face of an increased ad pool, which has gone up 6x in the last 20 years, ads now have a smaller shelf-life and need to be created in a more customized manner. In large part, technology has created this challenging landscape in marketing and advertising, but technology can now also help to address these new challenges. She pointed to computer vision technology which can help by supplying data created from “micro-feedback,” by clustering this information and fusing this feedback to create more useful macro-data to base decisions on.
Ariane Le Port of Google explored the relationship between augmented intelligence and creative effectiveness on YouTube. She noted that in the past, measuring creative was a challenge that was “so nuanced and so complex” that people tended to shy away from measuring it. In this session, Ariane pointed to a six-year experiment on YouTube video ads to help brands understand what is most effective in mobile video. In the experiment, they conducted A/B testing and took into account a variety of areas, such as framing, pacing, audio and other areas to find patterns of creative effectiveness. These experiments led to a partnership between Google and Ipsos to create YouTube’s ABCDs (Guidelines) for creative effectiveness. YouTube and Ipsos studied 17,000 ads in an effort to identify the creative elements that have a measurable impact, using a human and machine learning (ML) approach. Leveraging machine learning (ML) enabled them to look at large and robust datasets to gain a deep understanding of what elements work best in creative. Ariane discussed their augmented intelligence methodology which included data scope and collection, human and machine creative coding, metrics and data modeling and insights and commercialization.
The June 13th Women in Analytics virtual event consisted of two parts: 1) The rebroadcast of the “Courageous Career Moments: Overcome Fears and Bet on Yourself” recording originally held as an in-person breakfast at AUDIENCExSCIENCE. The panel included Aarti Bhaskaran, Global Lead, Ad Research & Insights, Snap Inc., LaToya Christian, Managing Partner, GroupM, Colleen Funkey, VP, Consumer Insights, The Estée Lauder Companies, Renata Policicio, SVP, Research, Direct to Consumer and Streaming, Warner Bros. Discovery and was moderated by Mary Ann Packo, Senior Partner, Hypothesis Group. 2) The second part of this event was a live panel discussion which included Aarti Bhaskaran, Global Lead, Ad Research & Insights, Snap Inc., LaToya Christian, Managing Partner, GroupM, Divya Kaur, VP, Marketing Science for Kinesso, Siani Kiyonaga, Product Strategy, Senior Manager for Toyota Financial Services and was moderated by Mary Ann Packo, Senior Partner, Hypothesis Group.
Member Only AccessData clean room technology has had a place in the advertising ecosystem for years but has become increasingly prominent in today’s landscape where major disruptions in data governance and privacy are emerging. Data cleanroom companies provide environments for two or more companies to share first-party data in a neutral, secure, privacy-compliant manner. They are used for activation, media measurement, and insights. At this event, Working Group Chair Sable Mi (VP of Analytics, Epsilon) moderated a powerful discussion with guests Alya Adelman (Director of Product, Blockgraph), Devon DeBlasio (VP of Product Marketing, InfoSum), Matt Karasick (Chief Product Officer, Habu), and Alysia Melisaratos (Head of Solutions Engineering, LiveRamp) to unpack the value that data clean rooms can provide.
On June 14th, at the ARF’s Women in Analytics event, thought leaders in the research industry shared best practices and inspiration to help attendees gain ground on their thought leadership path.
Sean Wilkinson of Conviva outlined findings from their latest State of Streaming report (released Q2 2022). A lot of non-CTV activity is occurring, like TV casting from connected devices, which equates to missed opportunities. Still, the use of connected devices is going down and the trend is people buying and relying on smart TVs. Monetization in DTC relies on good data. With it, streaming providers can determine things like customer lifetime value, ARPU and subscriber retention rate. As such, he stressed the importance of standardizing measurement and audience resolution.