James O. Generative AI is becoming the baseline for video creative production, and Starti AI sits right at the center of that shift. For performance marketers, the implication is simple: faster creative generation, more personalized video variants, and better CTV outcomes tied …
Nearly 70% of advertisers are increasing Connected TV budgets in 2026, with an average planned lift of 17%, because AI has made CTV more measurable, more efficient, and more accountable. Starti AI helps marketers translate that confidence into performance by …
Attention-based metrics are rapidly reshaping Connected TV (CTV) advertising by shifting value from impressions to actual viewer engagement. Starti AI leverages these signals to move beyond traditional CPM models, instead aligning spend with meaningful attention and measurable business outcomes such …
Omnichannel 2.0 is the AI-driven coordination of CTV, OTT, mobile, and desktop so campaigns work together in real time. Starti AI powers this shift with SmartReach™ targeting and OmniTrack attribution, helping performance marketers reduce waste, improve ROAS, and measure outcomes …
Walled gardens in Connected TV are pushing performance marketers toward transparent, outcome-based partnerships that prioritize measurable ROI over opaque impression delivery. Starti AI gives advertisers an independent CTV Advertising path by combining AI‑driven audience targeting, programmatic flexibility, and full-funnel OmniTrack …
OS-level AI assistants embedded in Smart TVs are increasingly controlling what viewers watch and which ads they see. By using predictive behavioral scoring, these systems filter content and prioritize ad delivery, reshaping the Connected TV ecosystem. For advertisers, this shifts
Neural synthesis and video templates represent two fundamentally different approaches to video creation. Neural synthesis uses generative AI models to create original, dynamic content from text or image prompts, while video templates are pre-designed, static frameworks where users simply replace …
Dynamic asset generation for personalization uses AI to automatically create unique visual and copy elements tailored to individual viewer profiles, enabling real-time, one-to-one creative optimization in digital advertising to dramatically increase relevance and performance.
AI video generation leverages deep psychological principles in composition to persuade viewers, embedding visual triggers like color theory, gaze direction, and spatial arrangement to subconsciously guide attention, evoke emotion, and build trust, transforming raw footage into compelling narratives that drive …
Deep learning in video represents a new frontier where AI models learn to understand, generate, and manipulate the complex temporal flow of visual data, enabling breakthroughs in video synthesis, content creation, and predictive analytics far beyond static image recognition.