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The 30-minute journey from ad-to-doorstep on platforms like DoorDash makes traditional brand vs. performance marketing silos obsolete. Archaic KPIs (e.g., cheap reach) prevent unified strategies, forcing a necessary re-evaluation of internal team structures and measurement to capitalize on the compressed consumer journey.

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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.

The most effective strategy combines brand building with performance marketing. This hybrid approach uses measurable channels to tell stories and build brand equity, ensuring every marketing dollar is accountable for results while avoiding the limitations of pure performance plays.

The evolution of customer journeys is forcing a convergence of previously separate marketing functions. Teams that managed SEO, SEM, social, and programmatic in silos will need to merge to create a unified, audience-centric performance marketing strategy.

DoorDash moves beyond simple ad attribution by measuring incrementality across three dimensions: attracting new shoppers (incremental to a brand's existing customers), driving new purchase occasions, and ensuring ad spend directly caused sales that wouldn't have otherwise occurred, all verified by a third-party auditor.

Instead of marketing and sales running separate races with siloed KPIs, a modern GTM model measures the entire journey like a relay. Both teams are measured on how efficiently accounts move through the funnel, focusing on the quality of handoffs and collaborative impact on velocity.

Structuring marketing teams in channel-specific silos forces them to optimize for internal structures rather than the fluid, non-linear path customers actually take. This creates a fragmented view of performance, leading to wasted effort and missed opportunities.

When customers start product discovery on platforms brands don't own, like AI tools, the first failure isn't technology but the organizational structure. Teams are built around ownable channels (paid, website, email), creating a structural gap when new, unmeasurable discovery engines emerge, leaving no one with clear ownership.

As the consumer journey collapses, every touchpoint becomes a shoppable moment. The current distinction between "commerce media" (lower funnel) and "brand media" (upper funnel) is an artificial construct that will disappear, leading to a unified, performance-accountable view of all media.

The rise of AI shopping agents acting on behalf of consumers will make the traditional marketing funnel obsolete. Customers will bounce between channels in unpredictable ways, guided by AI recommendations, making standard KPIs and attribution models increasingly difficult to track and rely upon.

The primary obstacle to scaling in-store media isn't a lack of measurement technology, but a fundamental disagreement between brands, retailers, and agencies on what success looks like. Different teams use separate scorecards and KPIs, creating friction and preventing a unified investment strategy.

Commerce Media's Collapsing Funnel Forces Brands to Unify Siloed Marketing Teams | RiffOn