When Demand Metric first benchmarked the rise of real-time bidding (RTB) in 2013, advertisers were beginning to embrace automation and data-driven audience targeting. Today, programmatic media buying dominates every channel, from connected TV to retail media, yet questions of transparency, privacy, and true ROI persist. This article revisits that early research to show what’s changed, what hasn’t, and where uncertainty still shapes the future of digital advertising.
From June-July 2013, Demand Metric conducted a benchmarking study to understand the impact online display advertising and real-time bidding (RTB) is having on the online advertising landscape.
All members of the Demand Metric community received email invitations to participate in the survey, and participation was encouraged through a random draw incentive for an iPad Mini.
While respondent email addresses were collected in order to facilitate the prize drawing, no identifying information was retained or considered in the analysis of the survey data.
Following collection of the survey data, Demand Metric analyzed the results and draw statistically significant conclusions.
Online advertising remains a cornerstone of modern marketing, but how marketers buy, measure, and optimize media has changed dramatically.
While programmatic advertising is now the default buying motion, several factors introduce real uncertainty for marketers:
What to do: Pair performance KPIs (CPA/ROAS) with quality metrics (attention, on-target reach, incrementality) and continuously test privacy-safe, AI-assisted audiences to adapt to shifting signals.
Programmatic advertising spans web, mobile, CTV, audio, and digital out-of-home, powered by AI-driven decisioning.
The original promises of precision and efficiency still stand, but privacy loss, measurement fragmentation, and content integrity have made automation more complex to manage.
AI and clean-room data sharing are ushering in a new phase of autonomous optimization, where human strategy and machine learning coexist to deliver transparency and trust.
RTB excelled at what advertisers valued most, audience targeting, but adoption was held back by low awareness and limited education.
Vendors that focused on teaching, not just selling, were expected to earn long-term market share as the ecosystem matured.
In 2013, AcuityAds was described as a real-time bidding platform powered by proprietary machine learning that allowed advertisers to hyper-target their digital consumers across display, video, and mobile campaigns.
Today, that company is illumin, following its 2023 rebrand and name change to illumin Holdings Inc., continuing to innovate in AI-powered media automation.
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Each study combines practitioner input, analyst validation, and executive interpretation to deliver credible, actionable benchmarks and trend analysis.
INSIGHTS™ reports help organizations identify capability gaps, benchmark performance, and guide strategic investment in people, processes, and technology.
Learn more about INSIGHTS™ by Demand Metric here.
When Demand Metric first benchmarked the rise of real-time bidding (RTB) in 2013, advertisers were beginning to embrace automation and data-driven audience targeting. Today, programmatic media buying dominates every channel, from connected TV to retail media, yet questions of transparency, privacy, and true ROI persist. This article revisits that early research to show what’s changed, what hasn’t, and where uncertainty still shapes the future of digital advertising.