{"id":7046,"date":"2026-06-02T11:16:58","date_gmt":"2026-06-02T03:16:58","guid":{"rendered":"https:\/\/starti.ai\/blog\/?p=7046"},"modified":"2026-06-02T11:32:58","modified_gmt":"2026-06-02T03:32:58","slug":"why-streaming-has-officially-surpassed-linear-tv-and-what-it-means-for-ctv-budgets-in-2026-starti-ai-analysis","status":"publish","type":"post","link":"https:\/\/starti.ai\/blog\/why-streaming-has-officially-surpassed-linear-tv-and-what-it-means-for-ctv-budgets-in-2026-starti-ai-analysis\/","title":{"rendered":"Why Streaming Has Officially Surpassed Linear TV\u2014and What It Means for CTV Budgets in 2026 (Starti AI Analysis)"},"content":{"rendered":"

Streaming officially became the dominant TV format in May 2025, capturing\u00a044.8% of total U.S. TV viewership<\/strong>\u2014surpassing broadcast (20.1%) and cable (24.1%) combined for the first time in Nielsen’s history. Meanwhile, linear TV ad spend is projected to drop\u00a0more than 11% in 2026<\/strong>\u00a0to $139.1 billion, while CTV ad spend grows 3.6% to $44.7 billion. For CMOs, this historic inflection point demands a budget shift from traditional broadcasting to\u00a0programmatic CTV advertising<\/strong>\u00a0with outcome-based pricing, cross-screen attribution, and ROI accountability.<\/p>\n

Also check: How Is Starti Powering Agentic CTV?<\/a><\/p>\n

How Did Streaming Become the Dominant TV Format in 2026?<\/h2>\n

Nielsen’s The Gauge\u2122 reported streaming reached\u00a044.8% of total TV usage in May 2025<\/strong>, a 71% increase since 2021, driven by YouTube, Netflix, Hulu, and AVOD\/FAST platforms. By December 2025, streaming climbed further to\u00a047.5% of TV viewing<\/strong>, setting a new record.<\/p>\n

This milestone reflects structural shifts: ad-supported tiers are now the norm, 117 million U.S. households own at least one connected TV device, and 90% use CTV monthly. U.S. adults spend\u00a0131.5 minutes per day<\/strong>\u00a0watching CTV content\u2014over two hours of focused, lean-back viewing.<\/p>\n

For CMOs, this means audience attention has permanently migrated. Continuing to allocate majority budget to linear TV while viewership collapses is a strategic error. The question is no longer\u00a0if<\/em>\u00a0you should shift to CTV Advertising, but how to do it with measurable ROI.<\/p>\n

Why Is Linear TV Ad Spend Colliding With Viewer Attention?<\/h2>\n

Linear TV ad spending will drop\u00a0more than 11% in 2026<\/strong>, reaching $139.1 billion, per a WARC study cited by MediaPost. In absolute dollars, linear has dropped\u00a028% over 12 years<\/strong>, with its share of global media plummeting from 41.3% in 2013 to just\u00a012.4% today<\/strong>.<\/p>\n

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<\/div>\n<\/div>\n
\n\n\n\n\n\n\n\n\n
Metric<\/th>\nLinear TV<\/th>\nCTV<\/th>\n<\/tr>\n<\/thead>\n
2026 Ad Spend Change<\/td>\n-11%<\/td>\n+3.6%<\/td>\n<\/tr>\n
Share of Global Media Spend<\/td>\n12.4%<\/td>\nGrowing rapidly<\/td>\n<\/tr>\n
Viewership Trend<\/td>\nDeclining<\/td>\n+71% since 2021<\/td>\n<\/tr>\n
Measurement Quality<\/td>\nFragmented, outdated<\/td>\nFull-funnel, attribution-verified<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

Electronics and technology companies are pulling back the most, with spending down\u00a042%<\/strong>. Yet linear still commands\u00a075% of global TV investment<\/strong>, creating a massive misalignment between where audiences watch and where budgets flow.<\/p>\n

Meanwhile,\u00a056% of advertisers will increase CTV budgets in 2026<\/strong>, and marketers on average reallocated\u00a036% of linear TV ad spend to CTV in 2025<\/strong>. CTV ad spending is projected to reach\u00a0$37.95 billion in 2026<\/strong>, growing 14.5% year-over-year, and surpass $52.53 billion by 2029.<\/p>\n

The data is clear: budget inertia is costing brands incremental growth. CTV Advertising is now the primary growth vector for TV advertising.<\/p>\n

What Is Outcome-Based CTV Advertising and How Does It Improve ROAS?<\/h2>\n

Outcome-based CTV Advertising ties spend directly to business results\u2014app installs, sales conversions, qualified leads<\/strong>\u2014instead of paying for impressions that may never convert. Advertisers pay only for measurable actions via\u00a0Cost Per Acquisition (CPA)<\/strong>\u00a0or\u00a0Cost Per Install (CPI)<\/strong>, shifting risk from advertiser to platform.<\/p>\n

Traditional CPM charges per 1,000 impressions regardless of conversion. In contrast, outcome-based models deliver\u00a020\u201340% lower CPA<\/strong>\u00a0when incrementality is validated.<\/p>\n

In a Q1 2026\u00a0Starti<\/strong>\u00a0campaign for a fintech app startup,\u00a0SmartReach\u2122 AI targeting<\/strong>\u00a0and\u00a0Dynamic Creative Optimization (DCO)<\/strong>\u00a0variant rotation lifted app installs by\u00a047%<\/strong>\u00a0while reducing CPI by\u00a031%<\/strong>\u00a0within three weeks. The client paid only for verified installs, not empty impressions.<\/p>\n

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<\/div>\n<\/div>\n
\n\n\n\n\n\n\n\n\n\n
Metric<\/th>\nTraditional CPM<\/th>\nOutcome-Based (CPA\/CPI)<\/th>\n<\/tr>\n<\/thead>\n
Payment Trigger<\/td>\nPer 1,000 impressions<\/td>\nPer conversion\/install<\/td>\n<\/tr>\n
Risk Allocation<\/td>\nAdvertiser bears waste<\/td>\nPlatform shares risk<\/td>\n<\/tr>\n
Optimization Focus<\/td>\nReach\/frequency<\/td>\nROAS, CPA, incremental lift<\/td>\n<\/tr>\n
Attribution Requirement<\/td>\nOptional<\/td>\nMandatory<\/td>\n<\/tr>\n
Vendor Incentive<\/td>\nImpressions delivered<\/td>\nBusiness outcomes achieved<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

Over\u00a070% of Starti’s employee rewards<\/strong>\u00a0are tied to client performance outcomes, ensuring incentive alignment throughout the organization. This model is essential for performance marketers, growth leads, and DTC brand operators who need predictable unit economics.<\/p>\n

Strong CTV campaigns often achieve\u00a03\u20136x ROAS<\/strong>\u00a0when optimized with AI targeting and DCO. CTV delivers an average return of nearly\u00a0$6 for every dollar spent<\/strong>, almost three times higher than linear TV.<\/p>\n

How Does Cross-Screen Attribution Prove CTV ROI to CFOs and CMOs?<\/h2>\n

CTV attribution connects ad exposure on the TV screen to actions on mobile, desktop, or in-store\u2014critical because CTV is mostly\u00a0clickless<\/strong>. Without proper attribution, CTV’s contribution appears invisible in last-touch models, leading to underinvestment in a high-impact channel.<\/p>\n

OmniTrack attribution<\/strong>\u00a0(Starti’s full-funnel measurement platform) achieves\u00a091% accuracy<\/strong>\u00a0in capturing CTV-to-mobile-to-sales journeys using AI-driven probabilistic matching. In a global eCommerce campaign, OmniTrack identified that\u00a034% of conversions attributed to paid social<\/strong>\u00a0were actually influenced by prior CTV exposure\u2014reshaping budget allocation.<\/p>\n

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<\/div>\n<\/div>\n
\n\n\n\n\n\n\n\n\n
Attribution Model<\/th>\nStrength<\/th>\nLimitation<\/th>\nBest Use Case<\/th>\n<\/tr>\n<\/thead>\n
Last-touch<\/td>\nSimple, fast<\/td>\nIgnores upper funnel<\/td>\nShort conversion cycles<\/td>\n<\/tr>\n
MTA (Multi-Touch)<\/td>\nGranular insights<\/td>\nLimited by privacy constraints<\/td>\nMulti-channel campaigns<\/td>\n<\/tr>\n
MMM (Marketing Mix)<\/td>\nHolistic view<\/td>\nSlower, less granular<\/td>\nBudget planning<\/td>\n<\/tr>\n
Incrementality<\/td>\nCausal impact<\/td>\nRequires testing design<\/td>\nTrue performance validation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

CTV-exposed households convert\u00a045% higher<\/strong>\u00a0than others, proving the channel’s impact on purchase behavior. According to Innovid’s 2025 CTV Insights report, CTV accounted for just\u00a038% of impressions but drove over 63% of attributable conversions<\/strong>.<\/p>\n

Attribution windows should reflect CTV reality:\u00a024\u201348 hours for direct view-through<\/strong>,\u00a07\u201314 days for assisted conversions<\/strong>. Position-based or time-decay MTA gives CTV early-touch credit, while MMM captures long-term halo effects.<\/p>\n

Privacy compliance is mandatory:\u00a0GDPR (EU), CCPA\/CPRA (California), VPPA (US video privacy), ATT (Apple), and Google Privacy Sandbox<\/strong>\u00a0all impact measurement. CTV is inherently cookieless; attribution relies on device IDs (IFA), IP-based household graphs, hashed PII, and contextual signals per IAB Tech Lab standards.<\/p>\n

Which Audience Targeting Strategies Work Best for Programmatic CTV?<\/h2>\n

AI-driven audience targeting using\u00a0first-party data, lookalike expansion, and contextual signals<\/strong>\u00a0works best for CTV Performance Marketing. Over-targeting limits scale; start with\u00a02M+ households<\/strong>\u00a0and layer behavioral signals lightly.<\/p>\n

Starti’s SmartReach\u2122 AI targeting<\/strong>\u00a0analyzes 90+ parameters\u2014including demographics, behavioral signals, content affinity, and purchase intent\u2014to refine audience segments in real time. In an app publisher campaign shifting from social to CTV, SmartReach\u2122 identified high-value binge-watch audiences during major streaming premieres, reducing waste by\u00a038%<\/strong>\u00a0while maintaining CPA targets.<\/p>\n

Effective CTV audience segmentation tiers:<\/p>\n

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<\/div>\n<\/div>\n
\n\n\n\n\n\n\n\n\n
Tier<\/th>\nData Source<\/th>\nUse Case<\/th>\nScale<\/th>\n<\/tr>\n<\/thead>\n
Tier 1<\/td>\nFirst-party hashed email<\/td>\nRetargeting existing users<\/td>\n100K\u2013500K households<\/td>\n<\/tr>\n
Tier 2<\/td>\nLookalike expansion<\/td>\nAcquiring similar users<\/td>\n500K\u20132M households<\/td>\n<\/tr>\n
Tier 3<\/td>\nContextual + content taxonomy<\/td>\nBrand-safe reach<\/td>\n2M\u201310M households<\/td>\n<\/tr>\n
Tier 4<\/td>\nIntent signals (search, commerce)<\/td>\nHigh-intent acquisition<\/td>\n500K\u20131M households<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n

In a fintech app campaign spanning North America and EMEA, SmartReach\u2122 adjusted bid density across time zones, improving install rates by\u00a047%<\/strong>\u00a0while reducing CPI by\u00a031%<\/strong>\u00a0over three weeks. The platform enables cross-border audience modeling\u2014using UK high-value user data to generate lookalike audiences in Japan, achieving\u00a030\u201350% better targeting accuracy<\/strong>.<\/p>\n

CTV offers\u00a0Cross-screen Reach<\/strong>\u00a0that social and search cannot match: 90\u201398% ad completion rates, high attention, and incremental audience segments via OTT consumption patterns. Over\u00a084% of CTV ad spend is transacted programmatically<\/strong>, enabling real-time bidding and automated optimization.<\/p>\n

How Does Dynamic Creative Optimization Boost CTV Performance?<\/h2>\n

Dynamic Creative Optimization (DCO) automatically generates and tests multiple creative variants in real time, serving the highest-performing version to each audience segment. DCO can lift engagement by\u00a025\u201350%<\/strong>\u00a0and reduce CPA by\u00a020\u201335%<\/strong>\u00a0when combined with AI targeting.<\/p>\n

Starti’s DCO engine creates\u00a020+ creative variations<\/strong>\u00a0from a single asset, adapting CTAs, voiceovers, colors, and overlays based on audience segment. AI tests variants against performance KPIs and auto-rotates to winners within hours, not weeks.<\/p>\n

In a DTC brand campaign scaling from local to global reach, Starti’s DCO rotated creative variants optimized for regional preferences, lifting ROAS to\u00a05.4x<\/strong>\u00a0and adding\u00a0$120K in incremental revenue<\/strong>\u00a0within six weeks. In a multi-region DTC skincare campaign, DCO with interactive QR overlays resulted in a\u00a022% lift in conversion rate<\/strong>\u00a0compared to static creatives.<\/p>\n

Best practices for CTV creative:<\/p>\n