Brands often separate trade marketing and retail media budgets, creating strategic gaps. This mirrors the early days of programmatic advertising, where direct sales and automated ad teams were siloed. The solution requires a holistic approach to workflows and relationships, not just reallocating funds between competing P&Ls.

Tushy actively measures the cross-channel impact of its advertising, discovering that top-of-funnel channels like Linear TV drive a greater sales lift on Amazon than digital channels like Meta. This is attributed to the demographic overlap between Linear TV viewers and typical Amazon Prime shoppers.

Manscaped avoids siloed data by using a "convergent TV" approach that brings linear and streaming campaigns into a single measurement framework. This provides a complete view of performance, scale, and efficiency, which is impossible when buying and measuring these channels separately.

Manscaped's success stems from treating TV not as a sporadic, campaign-based brand play, but as an always-on performance channel. This requires the same analytical rigor, continuous testing, and focus on business outcomes as paid search or social, unlocking its full potential as a demand generator.

Brands can purchase high-visibility, premium TV spots like college football at a discount by tapping into "fire sales" of remnant inventory. This requires an agile budget and quick communication with your media partner to capitalize on these last-minute deals.

Instead of treating all channels equally, identify which customer segments (e.g., brand advertisers) are best served by which channels (e.g., TV screens). Shifting demand accordingly can unlock massive growth by optimizing the entire portfolio and increasing customer ROI.

The price disparity isn't about viewership. Legacy TV ad buys are often part of complex, negotiated packages that include talent access and integrations. This "engagement model" is different from YouTube's biddable, auction-based system, keeping TV prices high despite weaker analytics.

Peter Field's analysis, applying attention data to media costs, reveals TV's high value. With an average 14-second attention span versus 1.7 for in-feed ads, TV's attention-adjusted CPM is extremely low. It also captures over 50% of Gen Z's media consumption, busting the "TV is dead" myth.

The next major shift in ad tech is performance-based CTV. This merges the attention of linear TV with the accountability of digital media, allowing advertisers to tie ad spend directly to outcomes like sales—a revolutionary change from traditional television's limitations.