BTR: Effective Linear and Digital Advertising in Uncertain Economy Requires Investments in Cross-Platform Integration and Accountability
The question is once again front and center as concerns about inflation and recession cloud the outlook for 2023 and beyond. The answer to this question, however, is likely to be far different today from the path pursued in past downturns, according to Walt Horstman, senior vice president of monetization with TiVo, a wholly owned subsidiary of Xperi Inc.
"We have moved into a period of economic uncertainty forcing brands and marketers to reevaluate their media spend. It represents a dramatic shift in the business landscape since the industry has not seen a major cyclical economic downturn since 2009," says Horstman.
Over this period, the media landscape has changed dramatically, and new technologies have given rise to a profound set of capabilities that previously did not exist. COVID-19, for instance, had an immense impact on the advertising industry.
"It accelerated the adoption of Connected TVs (CTVs), elevating the importance of digital advertising and creating an imperative for organizations to integrate this rapidly growing category into their linear engagement strategies. The pandemic dramatically altered how consumers access entertainment and how they are exposed to advertising messages," he explains.
Click here to listen to the executive podcast interview with Walt Horstman, Senior Vice President of Monetization, TiVo, a division of Xperi Inc.
This confluence of factors – the turbulent economy, changing consumer attitudes and the emergence of new technologies – has heightened interest in accurate, real-time analysis as brands seek evidence to prove performance and validate target audience reach.
Evidence-Based Defense of Ad Spend
The good news is that premium content promoters, advertising agencies and corporate brand managers now have access to an unprecedented amount of data that can be analyzed by increasingly sophisticated tools that leverage artificial intelligence and machine learning to defend and justify a more precise approach to bringing their value propositions to market.
"It contributes to more accurate and effective message development and targeting. As a result, advertising budgets can now be allocated in ways that drive higher levels of efficiency, performance, accountability and incremental reach," says Horstman.
This is important when budgets are scrutinized, especially in today's fragmented media landscape, where scores of streaming services coexist with more traditional pay-TV and broadcasting offerings.
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