AI will play a pivotal role in powering various forms of paid media, employing machine learning to excel at what it does best: experimenting with an extensive range of ad types and configurations that surpass human capacity. This includes fine-tuning bidding strategies to optimize impact and efficiency against crucial goals.
According to Ascend2, automation’s prevalence in paid media is on the rise, with nearly 40% of marketers utilizing automation for paid ads in 2023, a significant increase from 26% in 2022.
This trend is anticipated to grow further, especially as major platforms like Google and Meta embrace AI through initiatives such as Performance Max and Advantage+. While AI-scaled placements present opportunities for cost reduction, advertisers face the trade-off of diminished control over the context in which their ads appear.
For media planning and buying teams, success hinges on their ability to be exceptionally strategic with inputs and adept at incorporating performance-based insights back into their processes.
Striking a balance between the scale and efficiencies driven by AI-powered campaigns and investing in sought-after placements within pricier premium environments is crucial. These premium environments offer top-tier placements and ensure brand safety.
The impact of AI extends beyond traditional “performance marketing” channels. According to a Google study, over 50% of leading performance agencies redirected more than 30% of their time toward strategic activities, courtesy of machine learning.
Businesses focused on profitability will seek similar levels of accountability earlier in the customer journey, hastening what is commonly referred to as the collapse of the marketing funnel.
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