Performance CTV

Cognitiv's Performance CTV is specifically designed to tackle key industry challenges including ad repetition, lack of personalization, and transparency issues. By using deep learning to optimize ad frequency and ensure ads are shown to the right users at the right times, Cognitiv reduces ad fatigue while improving relevance and user experience.

Every campaign includes full transparency into both where your budget ran and who it reached. You can see exactly how spend splits between CTV and display, so you always know what you bought. Beyond delivery, reporting covers audience demographics (e.g. age, gender, and household composition), geographic performance, and temporal patterns by time of day and day of week. Together these give you a complete picture of how the campaign is running and where the model is finding your highest-value audiences.

Cognitiv's Custom Algorithms are built on real-world browsing behavior, the actual URLs and content patterns that reflect what someone is actively researching and considering. When a person's browsing signals indicate they're in the purchase journey for a category, the model identifies them and finds them wherever they're watching, not just when they happen to be watching relevant content. Take auto advertising on CTV. Other vendors would serve ads to Formula 1 viewers on the assumption that racing fans are car buyers. Some may be, but most are just fans. Custom Algorithms flip the logic: instead of finding car content and hoping the audience is interested, the model finds people whose browsing shows they are actively researching vehicles and reaches them regardless of what they're watching.