Connected TV advertising spend is projected to reach $46.89 billion by 2028 as programmatic access and ad-supported tiers expand. Industry experts advise that marketing and CRM leaders must shift from last-click attribution to incrementality testing and geo holdout methods to accurately measure return on ad spend.
The transition of CTV advertising spend from a branding exercise to a performance-driven channel forces a technical overhaul of attribution models. As streaming platforms like Amazon Prime Video scale ad-supported tiers, the industry must move beyond last-click metrics toward incrementality and media mix modeling to justify high-value budgets. This shift connects household-level viewing data directly to CRM systems, turning the living room screen into a measurable conversion point similar to digital search. Watch for the adoption of standardized incrementality platforms to replace fractional attribution as CFOs demand proof of real return on ad spend.
Connected TV advertising spend is accelerating as major platforms expand programmatic access and advertisers shift budgets from linear. According to IAB's 2026 Digital Video Ad Spend and Strategy Report, U.S. digital video ad spend continues to grow at double-digit rates, with CTV upfront commitments now exceeding primetime linear TV for the first time. The report, based on Guideline's proprietary billing data and a survey of nearly 400 digital video ad spend decision-makers, also found a pervasive lack of confidence among buyers about where their CTV ads actually run, highlighting the transparency gap that the $46.89 billion projection will intensify.
Measurement methodology is the central challenge for justifying CTV advertising spend at scale. A July 2026 analysis found that 72% of advertisers ranked cross-platform measurement as a top priority, up from 64% in 2025, according to the IAB's 2026 Outlook Study. The same analysis noted that most CTV incrementality tests fail before a single ad runs because test design produces numbers that look convincing without proving causality. Geo-matched market tests using difference-in-differences designs and account-matched holdouts with hard suppression are the strongest methods available, while media mix modeling serves as a planning fallback rather than causal proof.
The shift from attribution to incrementality is already underway among sophisticated CTV advertisers. A June 2026 performance guide citing eMarketer and TransUnion data found that 52% of U.S. brand and agency marketers already use incrementality testing, and 46.9% plan to increase media-mix-modeling investment. The guide also reported that U.S. CTV ad spend is projected at $37.95 billion in 2026, with completion rates topping 95%, yet most mid-market brands undervalue the channel because they measure it with last-click or multi-touch attribution models that cannot capture non-click environments. For CRM leaders, this means the infrastructure for connecting CTV exposure to downstream conversion must be built around holdout-based lift measurement rather than pixel-based tracking.
U.S. CTV advertising spend is projected to reach $46.89 billion by 2028, officially surpassing traditional linear television. This growth is fueled by programmatic access and ad-supported tiers on major streaming platforms. As the channel shifts toward performance-driven marketing, advertisers are moving away from last-click attribution toward incrementality and media mix modeling.
U.S. CTV advertising spend is projected to reach $46.89 billion by 2028.
Last-click attribution often undervalues CTV by up to 40% because it cannot effectively capture non-click environments, forcing brands to adopt incrementality testing and media mix modeling instead.
Growth is driven by increased programmatic access, the expansion of ad-supported tiers on platforms like Netflix and Disney+, and the reduction of creative production barriers through AI tools.
CTV usage has climbed significantly, growing from 15% of total television viewing in 2020 to approximately 38% today.
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