data analytics

• Past Event Highlights
• Article

Courageous Career Moments: Overcome Fears and Bet on Yourself

• WOMEN IN ANALYTICS

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.

Identity Resolution Group: Demystifying Data Cleanrooms

• Posted: June 8, 2023

Data 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.

Best Practices in Thought Leadership

• Posted: June 8, 2023

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.

Unlocking Monetization via Data Standardization

• Posted: June 6, 2023

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.

What Does AI Mean for Advertising Research?

• Posted: June 6, 2023

We’ve all heard about the growing use of artificial intelligence in advertising research and doom and gloom predictions that it will knock out jobs, but is this really the case? Agency leaders joined us for an ARF Town Hall to discuss the upsides and possible downsides of generative AI, as well as how they’re utilizing it in their businesses to boost efficiency. Attendees heard predictions on how AI will change the business model of advertising and what it could mean for media agencies.

A Layman’s Guide to Cross Media Reach & Frequency Measurement Using Virtual IDs

• Posted: June 6, 2023

On May 17, the ARF Analytics Council explored the groundbreaking concept of Virtual IDs (VIDs) and their potential to revolutionize cross-media measurement. The essential mechanics of VIDs were explained in a non-technical manner to help professionals across media and advertising understand it better. Panelists shared how VIDs could overcome barriers in calculating cross-media and device reach and frequency.

Measuring Campaign Incrementality Using Both First Party And Third-Party Identifiers

• Posted: June 5, 2023

Hong Zou of Adobe talked about how they measure campaign incrementality and ROI using both first-party and third-party identifiers. Their method was born in 2020, out of the need to refocus from lower funnel marketing campaign performance to upper funnel performance. Adobe matches one group of people exposed to the campaign with a look-alike group who were not exposed. Since all other attributes are the same, any differences can be attributed to the campaign itself.

Navigating Through Uncertainty with Next-Gen Marketing Mix

• Posted: June 5, 2023

Greg Dolan (Keen Decision Systems) and Mark Bennet (Johnsonville Milwaukee) examined how to navigate in uncertain and volatile times in the current marketplace using next-generation marketing mix solutions. In the opening, Greg explored the progression of marketing from the late 90s, through what he dubbed “The Roaring 20s.” He noted that we went from a minimally complex, slower-paced “top-down” approach in the 1990s to a very fast-paced, complex environment with a shift to Retail Media and a unified approach where we apply next-generation predictive analytics in the 2020s. Greg discussed the intricacies of their approach of combining historical data with predictive/prescriptive plans to address drastic changes in the current environment, leveraging ML. He provided a case study that demonstrated the successful application of the next-generation marketing mix. In addition, Mark gave a client perspective on how they are handling market uncertainty.

Harnessing the Full Potential of Marketing Mix Models: How Attention, Creative and Audience Personalization can Drive ROI

• Posted: June 5, 2023

Sameer Kothari (PepsiCo) and Todd Kirk (Middlegame Marketing Sciences) examined the application of a transformed rendition of marketing mix modeling created through the development of a proprietary system called the “ROI Engine.” Sameer indicated the desire to harness the “true potential of marketing mix models even beyond measuring past campaigns and using it for strategic planning looking forward.” Sameer discussed this system as having a more “predictive ROI outcome-based approach” by “leveraging an ecosystem of leading indicators for before and during a campaign flight.”

Rebuilding MMM to Handle Fragmented Data: The Challenge of Retailer Media

• Posted: June 5, 2023

Liz Riley (OLLY) and Mark Garratt (In4mation Insights) explored rebuilding and reimagining marketing mixed modeling (MMM) to better handle fragmented data, in the era of retail media networks. Mark lauded MMM as an effective technique that has contributed to financial success for many businesses. In light of data becoming increasingly fragmented, he suggested that “some reinvention of the fundamental model framework is going to be required in order to move this old venerable method into the future.” Mark and Liz examined the Bayesian approach to MMM in handling fragmented data. Mark noted that there will not be a situation “where all the data is the same granularity in one place at one time.” The Bayesian approach can “fill in the blanks” of missing or fragmented data using reasonable estimates, creating a more accurate picture, which traditional MMM falls short of in the retail media environment.