Inside the Journal of Advertising Research: Budgets, Attention, and Audiences — New Evidence for Smarter Advertising Across Channels

How should advertisers allocate budgets, manage ad frequency, and measure audience reach across a fragmented media landscape? This Insights Studio presents three new JAR studies that tackle these challenges, revealing a shared conclusion: the metrics and models many practitioners rely on today still have opportunity for improvement.

• Sönke Albers refines a widely-used movie advertising budget model, offering a simpler, more profitable approach.
• Hyung Sup (Zack) Bhan and colleagues uncover how Connected TV accelerates attention decay, especially with repeated ads in short timeframes.
• Kaye Chan and Mark Uncles demonstrate that subscription magazine audiences are far more inconsistent than circulation figures suggest.

Join us on April 8 to:

• Discover how allocating ad budgets based on channel size—not just elasticity—can improve profit by over 20%, with applications across books, games, and omnichannel retail.
• Learn how Connected TV viewers pay less attention to ads than Linear TV audiences, especially with repeated exposures within a single day.
• Understand why only one-third of digital magazine subscribers repeat-view content from issue to issue, and how this impacts reach, frequency, and ad placement.
• Explore how passive granular data, from server logs to facial recognition, is replacing proxy metrics and revealing actual audience behavior.

Across all three studies, albeit from different angles, a consistent theme emerges: whether budgets, attention, or viewership, expectations must be calibrated downward, and strategies should be built on what the data actually shows.