When viewed through a holistic lens that includes all in-store sales, digital screens and audio frequently show a higher return than online ads. This is because the vast majority of retail revenue still occurs in the physical store, so by ratio, investments targeting that environment naturally deliver superior performance on a dollar-for-dollar basis.

Many marketers mistakenly use attribution models for precise instructions. Instead, they should be used directionally to understand which channels are generally performing better, without treating the data as absolute truth that dictates every specific action.

The desire for perfect attribution stems from a love of predictability. However, the most predictable channels are often the most expensive and least efficient. Trading some predictability for the 'explosive efficiency' of less-trackable brand and community efforts results in a healthier, more cost-effective go-to-market engine.

Direct attribution models are flawed because platforms like Google and Facebook use tracking pixels to claim credit for sales that would have occurred anyway. Smart marketers are returning to older methods of measuring lift from campaigns rather than relying on misleading platform data.

Marketing leaders often sense that attribution models are broken, but they lack the financial language and models to prove it to leadership. The key challenge is moving from "feeling" that a model is wrong to "articulating and demonstrating" why with a cogent financial argument.

While being data-driven is good, seeking a precise mathematical ROI for every initiative is often a fallacy. Many outcomes result from numerous touchpoints (marketing, product, etc.). Obsessing over perfect attribution is unproductive and leads to inter-departmental conflict.

Don't evaluate marketing channels in silos. A paid search lead isn't just from one click; it was enabled by 5-7 previous brand touchpoints from mass media, social, and other channels. The entire marketing strategy works as a closed loop, and its success must be measured holistically against overall business growth.

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.

Marketing attribution models should not be used for precise, tactical decisions. Instead, view them as a compass that provides directional guidance on which channels are generally performing better, helping you make broader strategic choices rather than following it as an exact roadmap.