Connected TV (CTV) user acquisition (UA) has evolved into a measurable, performance-driven channel where advertisers can drive app installs and conversions\u2014not just brand awareness. By combining programmatic buying, advanced attribution, and cross-screen targeting, CTV now supports direct-response outcomes like CPI and CPA, making it a viable alternative to traditional mobile and social UA strategies. Starti’s outcome-based pricing model makes this shift accessible to app developers of all sizes.<\/p>\n
Starti | Growth AI Partner : From Creative to Performance<\/a><\/span><\/p>\n CTV UA refers to using Connected TV advertising to drive measurable user acquisition outcomes such as app installs, sign-ups, or purchases, rather than just brand awareness. Growth is fueled by improved attribution, programmatic access to premium OTT inventory, and rising streaming consumption, enabling performance marketers to treat television as a lower-funnel channel.<\/p>\n CTV’s shift from branding to performance is rooted in infrastructure maturity. OpenRTB standards, SSAI-enabled inventory, and deterministic signals like device IDs and IP-based household graphs now allow advertisers to connect TV exposures to downstream actions.<\/p>\n From Starti’s platform data, this shift is already operational. In a Q1 2026 campaign for a mid-sized gaming app, SmartReach\u2122 AI identified high-intent OTT audiences based on viewing behavior and device clusters. Combined with Dynamic Creative Optimization (DCO), the campaign increased install rates by 42% while lowering Cost Per Install (CPI) by 28% compared to social benchmarks.<\/p>\n This growth also reflects a broader media behavior shift. Viewers increasingly engage across OTT platforms, FAST channels, and AVOD services\u2014creating scalable, addressable inventory for performance marketers.<\/p>\n CTV enables direct-response outcomes by linking TV ad exposure to mobile or web actions through cross-device attribution, QR codes, app store deep links, and second-screen behaviors. Advanced attribution models connect impressions to installs, allowing advertisers to optimize toward Cost Per Acquisition (CPA) and return on ad spend (ROAS).<\/p>\n The mechanism is not purely deterministic. Instead, it blends probabilistic modeling, device graphs, and incrementality testing. Privacy frameworks like GDPR, CCPA\/CPRA, and Apple’s ATT require anonymized and consent-based tracking, which has pushed innovation in cookieless attribution.<\/p>\n Starti’s OmniTrack attribution system exemplifies this evolution. In a fintech app campaign across North America and EMEA, OmniTrack combined:<\/p>\n Household IP matching<\/p>\n<\/li>\n Timestamp-based exposure modeling<\/p>\n<\/li>\n MMP integrations (AppsFlyer, Adjust)<\/p>\n<\/li>\n Incrementality testing via geo-holdouts<\/p>\n<\/li>\n<\/ul>\n The result: a verified 33% lift in incremental installs attributed to CTV, not just last-touch overlap with paid social.<\/p>\n CTV also benefits from “lean-back intent.” Users exposed to ads on premium content environments often convert on secondary devices within minutes\u2014especially when creatives include clear calls-to-action like QR codes or app incentives.<\/p>\n Performance marketers are reallocating spend to CTV because it offers scalable reach, premium inventory, and improving measurement\u2014all while social and mobile channels face signal loss due to privacy changes. CTV provides a less saturated, high-attention environment that can deliver stronger ROI under the right optimization strategies.<\/p>\n Signal loss from ATT and cookie deprecation has reduced targeting precision on traditional channels. In contrast, CTV operates natively in a cookieless environment, relying on device-level and contextual signals that remain stable.<\/p>\n Starti has observed this shift across multiple verticals. A DTC wellness brand reallocated 25% of its paid social budget to CTV. Within six weeks:<\/p>\n CPA decreased by 19%<\/p>\n<\/li>\n Cross-screen reach increased by 52%<\/p>\n<\/li>\n Incremental conversions (validated via holdout testing) rose significantly<\/p>\n<\/li>\n<\/ul>\n The key factor was SmartReach\u2122 AI’s ability to identify high-propensity households based on content consumption patterns rather than behavioral tracking alone.<\/p>\nWhat is CTV UA and why is it growing fast?<\/h2>\n
How does CTV enable direct-response app installs?<\/h2>\n
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Why are performance marketers shifting budgets to CTV?<\/h2>\n
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CPM vs Outcome-Based Models<\/h2>\n