TV lacks a click, so last-click attribution models will severely undervalue its impact. A modern approach requires a holistic dashboard that triangulates performance across multiple metrics, including incremental CPA, view-through CPA, attributable Amazon purchases, and lift in retail sales.

Unlike Netflix, which struggles with attribution using clean rooms and IP matching, ChatGPT's ad platform can leverage direct clicks. This allows for high-fidelity measurement similar to Meta's CAPI and pixel, providing advertisers with much clearer, less probabilistic attribution for their ad spend.

Unlike traditional machine learning that only learns from ad clicks, deep learning analyzes the entire user population (both exposed and not exposed to ads). This comparison reveals true incremental performance, moving beyond simple conversion attribution.

New measurement tools are moving beyond probabilistic models (guessing based on IP/device) to deterministic view-through attribution. By using first-party data like platform logins, marketers can now directly match an ad impression to a purchase, solving a major measurement challenge.

Standard attribution models, even multi-touch, fail to credit influential, non-clickable touchpoints like a child watching a Netflix show that inspires a purchase. This "Hot Wheels Problem" highlights the need to account for view-through attribution and the full, often hidden, customer journey.

To add a performance layer to TV advertising, Float measured immediate impact by analyzing website analytics within the 15-minute window directly following a TV spot's airing. This provided near real-time data on whether a commercial drove immediate action, boosting confidence in the channel.

Tatari pioneered shifting TV ad measurement from traditional Nielsen reach metrics to performance-based outcomes like website visits, app installs, or sales. This allows brands to measure TV's impact with the same rigor they apply to digital channels, justifying spend and enabling optimization for the first time.

Tatari provides Manscaped with a "halo impact analysis" that quantifies how TV advertising lifts performance in other channels like paid search and social. This proves TV's role as a full-funnel driver and moves the conversation beyond direct, last-touch attribution to its total business impact.

To move beyond last-click attribution, small businesses should add a simple metric to their daily tracking: impressions. By analyzing the relationship between impression spikes and the subsequent rise in clicks days or a week later, they can start to see the true top-of-funnel drivers of their business, revealing which channels are building crucial initial awareness.