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Early TV tests for DTC brands often focus on a strict Cost Per Acquisition (CAC). As a business scales into omnichannel, the definition of "performance" must expand. Success metrics should include the halo effect on other channels, like branded search lift and increased sales on Amazon.

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Traditional metrics like click-through rates don't apply to AEO. Brands should instead measure its ROI by tracking increases in branded search, direct site traffic, and direct referral traffic. These metrics indicate that AI-driven recommendations are successfully influencing consumer demand, even without a direct click.

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.

A blended CAC across all channels hides crucial information. By calculating CAC for each individual platform or method (e.g., paid ads, content, outreach), businesses can identify their most efficient channels. This allows them to reallocate budget and effort to the highest-performing areas for more profitable growth.

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.

Brands growing to the $50-100M range often get stuck over-investing in the same digital channels, leading to diminishing returns. Escaping this "doom loop" requires expanding into upper-funnel, brand-building channels like TV to create new, sustainable demand.

Shift the mindset from a brand vs. performance dichotomy. All marketing should be measured for performance. For brand initiatives, use metrics like branded search volume per dollar spent to quantify impact and tie "fluffy" activities to tangible growth outcomes.

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.

Early-stage DTC brands often rely on MTA for daily decisions. As a brand expands into omnichannel and upper-funnel activities, this model breaks. The strategy should shift to "flipping the triangle," making Marketing Mix Modeling (MMM) the primary strategic tool, with MTA and platform data serving as tactical gut checks.

Don't assume TV only serves to introduce new customers. For consumers already in the consideration phase, a TV ad can act as the final, legitimizing touchpoint that closes the sale, proving its value across the entire funnel, not just at the top.

TV advertising directly boosts the performance of digital channels like Meta and Google Search. Rather than viewing it as a separate, top-of-funnel expense, marketers should understand its direct impact. Platforms like Tatari can even provide a "halo impact report" to quantify this lift.

Evolve Performance TV Metrics from Pure CAC to Broader Halo Effects | RiffOn