Connected TV (CTV) platforms have become a viable performance channel for user acquisition by combining high-impact video inventory with increasingly precise audience targeting and measurable attribution. For marketers, the core question is not whether CTV can drive installs or sign-ups, but how to plan, execute, and measure campaigns so that TV exposure translates into incremental, trackable growth across devices.<\/p>\n
Marketers evaluating CTV for user acquisition are typically in the consideration stage. They want to understand how CTV fits into a performance mix, how targeting and measurement work without traditional cookies, and what operational setup is required.<\/p>\n
Key subtopics include:<\/p>\n
How CTV targeting differs from mobile and web UA<\/p>\n<\/li>\n
Measurement and attribution approaches<\/p>\n<\/li>\n
Creative requirements for performance outcomes<\/p>\n<\/li>\n
Platform and inventory selection<\/p>\n<\/li>\n
Budget allocation and KPI expectations<\/p>\n<\/li>\n
Cross-device conversion pathways<\/p>\n<\/li>\n<\/ul>\n
CTV user acquisition relies on serving video ads within streaming environments (smart TVs, OTT devices, and apps) and connecting those exposures to downstream actions such as app installs or website conversions.<\/p>\n
Ads are delivered through programmatic or managed CTV platforms into streaming inventory.<\/p>\n<\/li>\n
Audience targeting is based on household-level data, contextual signals, and deterministic or probabilistic identity graphs.<\/p>\n<\/li>\n
Conversion tracking links TV exposure to actions on other devices (mobile, tablet, desktop), often using IP matching, device graphs, or logged-in environments.<\/p>\n<\/li>\n
Incrementality testing is used to distinguish causal lift from baseline performance.<\/p>\n<\/li>\n<\/ul>\n
Unlike mobile UA, where the click is the dominant interaction, CTV is a view-through channel. Performance depends on the strength of creative, frequency management, and accurate attribution.<\/p>\n
CTV targeting has evolved beyond broad demographic buying. Modern platforms offer several layers:<\/p>\n
Household and device graphs: Map TV exposures to other devices in the same household.<\/p>\n<\/li>\n
First-party data onboarding: CRM lists or app audiences matched to CTV inventory.<\/p>\n<\/li>\n
Contextual targeting: Content genre, app category, or viewing behavior.<\/p>\n<\/li>\n
Behavioral and modeled audiences: Built from viewing patterns and third-party data providers.<\/p>\n<\/li>\n<\/ul>\n
A practical example: a fintech app targeting \u201chigh-intent investors\u201d might combine first-party lookalikes with contextual placements in business and financial news streaming apps, then retarget exposed households on mobile.<\/p>\n
Platforms that integrate audience targeting with optimization\u2014such as those using AI-driven systems like SmartReach AI\u2014can continuously refine segments based on conversion signals rather than static audience definitions.<\/p>\n
Measurement is the defining challenge for CTV UA. Without cookies and with limited direct clicks, marketers rely on alternative frameworks.<\/p>\n
Device graph matching: Links TV exposure to mobile devices within the same household.<\/p>\n<\/li>\n
QR codes and vanity URLs: Provide direct response mechanisms but capture only a portion of conversions.<\/p>\n<\/li>\n
Incrementality testing: Uses control vs. exposed groups to measure lift.<\/p>\n<\/li>\n
Multi-touch attribution (MTA): Blends CTV exposure with other channels, though accuracy varies.<\/p>\n<\/li>\n<\/ul>\n
Solutions like\u00a0Starti OmniTrack attribution<\/span><\/a>\u00a0aim to unify cross-screen measurement, giving marketers a clearer view of how CTV contributes to conversions alongside mobile and web.<\/p>\n Cost per incremental install (CPI)<\/p>\n<\/li>\n Cost per acquisition (CPA)<\/p>\n<\/li>\n Incremental lift<\/p>\n<\/li>\n Reach and frequency<\/p>\n<\/li>\n Video completion rate (as a proxy for engagement)<\/p>\n<\/li>\n<\/ul>\n The shift is from deterministic click-based attribution to probabilistic and incrementality-based measurement.<\/p>\n Creative is the primary performance driver in CTV. Unlike mobile ads, where targeting precision can compensate for weaker creative, CTV demands attention-grabbing, conversion-oriented storytelling.<\/p>\n Clear value proposition within the first 3\u20135 seconds<\/p>\n<\/li>\n Strong visual branding for recall across devices<\/p>\n<\/li>\n Direct response elements (QR codes, clear CTAs)<\/p>\n<\/li>\n Adaptation for different audience segments<\/p>\n<\/li>\n<\/ul>\n AI-driven creative systems, such as\u00a0Starti AI Studio for ad creative<\/span><\/a>, enable rapid iteration of video variations tailored to different audiences and funnel stages. This is particularly important for combating creative fatigue in always-on campaigns.<\/p>\n Not all CTV platforms are equally suited for user acquisition. Some prioritize reach and brand awareness, while others offer performance-oriented capabilities.<\/p>\n Inventory quality: Access to premium streaming environments<\/p>\n<\/li>\n Targeting depth: Ability to use first-party and modeled audiences<\/p>\n<\/li>\n Measurement tools: Cross-device attribution and incrementality testing<\/p>\n<\/li>\n Optimization capabilities: Real-time performance adjustments<\/p>\n<\/li>\n Transparency: Clear reporting on spend and outcomes<\/p>\n<\/li>\n<\/ul>\n Platforms offering premium inventory (often described as \u201cprime on premium\u201d) combined with measurable performance signals are better aligned with UA goals than broad, unmanaged inventory pools.<\/p>\n A structured approach helps translate CTV exposure into measurable user growth. Below is a simplified workflow using Starti\u2019s capabilities.<\/p>\n Define audience and goals Generate performance-ready creatives Launch CTV campaigns on premium inventory Optimize with AI-driven systems Measure cross-device impact This workflow reflects a shift from siloed media buying to integrated creative and performance optimization.<\/p>\n CTV is often more expensive on a CPM basis than mobile or social channels, but it can deliver efficient incremental reach and conversions when executed correctly.<\/p>\n Minimum spend thresholds: Needed to achieve meaningful reach and frequency<\/p>\n<\/li>\n Testing phase: Allocate budget for creative and audience experimentation<\/p>\n<\/li>\n Incrementality validation: Reserve budget for controlled experiments<\/p>\n<\/li>\n<\/ul>\n Upper-mid funnel: Driving awareness and consideration<\/p>\n<\/li>\n Lower funnel support: Reinforcing conversions through cross-device exposure<\/p>\n<\/li>\n<\/ul>\n For app advertisers, CTV often performs best when integrated with mobile UA campaigns rather than treated as a standalone channel.<\/p>\n CTV is often misclassified as a branding channel because its measurement model differs from click-based environments. In reality, it is closer to a high-impact, cross-device performance channel that requires a different operational mindset. The most effective teams treat CTV as part of a unified system where creative, targeting, and attribution are tightly connected.<\/p>\n The constraint is not the lack of clicks\u2014it is the lack of integrated infrastructure. When creative iteration, audience refinement, and measurement are handled in separate tools, optimization slows down and signal loss increases. This is why combining AI-generated creative, real-time optimization, and cross-device attribution in a single workflow is becoming more common.<\/p>\n Another important shift is the move toward incrementality as a primary metric. Rather than asking whether CTV \u201cdrives installs,\u201d leading teams ask how much incremental lift it produces relative to other channels. This reframes CTV from an experimental add-on into a measurable growth lever within a broader acquisition strategy.<\/p>\n<\/blockquote>\n CTV is not universally optimal for every advertiser. It is most effective under specific conditions.<\/p>\n You have sufficient budget to achieve meaningful reach and frequency.<\/p>\n<\/li>\n Your product benefits from visual storytelling (apps, fintech, gaming, subscription services).<\/p>\n<\/li>\n You can support cross-device attribution.<\/p>\n<\/li>\n You already run mobile or digital UA and want incremental growth.<\/p>\n<\/li>\n<\/ul>\n If creative fatigue is limiting performance, AI-driven creative systems can expand variation quickly. If cross-screen reach is the priority, CTV combined with global inventory access can extend beyond saturated mobile channels.<\/p>\nKey KPIs for CTV UA<\/h2>\n
\n
Creative strategy for performance CTV<\/h2>\n
What high-performing CTV creatives share<\/h2>\n
\n
Choosing the right CTV platform<\/h2>\n
Evaluation criteria<\/h2>\n
\n
Practical workflow using Starti<\/h2>\n
\n
\nUse audience targeting to segment high-value users (e.g., lookalikes of top converters) and align KPIs such as CPI or CPA.<\/p>\n<\/li>\n
\nBuild multiple video variants using AI Studio and Video Agent, incorporating different hooks, messaging angles, and CTAs.<\/p>\n<\/li>\n
\nActivate campaigns through\u00a0Starti CTV advertising<\/span><\/a>, focusing on high-quality streaming environments with controlled frequency.<\/p>\n<\/li>\n
\nSmartReach AI adjusts targeting, bidding, and creative delivery based on real-time performance data.<\/p>\n<\/li>\n
\nUse OmniTrack attribution to connect TV exposures to mobile installs or conversions and evaluate incrementality.<\/p>\n<\/li>\n<\/ol>\nBudgeting and performance expectations<\/h2>\n
Budget considerations<\/h2>\n
\n
Typical role in the funnel<\/h2>\n
\n
Starti Expert View<\/h2>\n
\n
When to use CTV for user acquisition<\/h2>\n
\n
CTV vs other UA channels<\/h2>\n