1. Retail events accelerated demand. Brand determined who captured it.

The strongest revenue periods coincided with major retail moments including Black Friday and end-of-year sales events.

These periods generated significant category demand, creating opportunities across the market.

But promotions alone did not determine who won.

The analysis identified a substantial level of baseline demand, highlighting the importance of existing brand familiarity., consumer preference and consideration before shoppers entered the market. While media activity made a significant contribution to revenue, the findings showed d that consumers often entered promotional periods with preferences already formed.

Brands that had invested consistently in awareness and consideration were best positioned to benefit when demand accelerated.

Promotions created urgency.

Brand investment created confidence.

The findings demonstrated that retail events create opportunity, but brand determines who captures it.

2. Search captured demand. Television helped create it.

Search and social delivered significant revenue contribution throughout the period, with Google Ads contributing approximately 44% and Facebook approximately 22% in influenced revenue.

However, the analysis showed that lower-funnel performance was strengthened by broader brand-building activity occurring elsewhere in the media mix.

Television, BVOD and video generated more than 22% influenced revenue, while building awareness and consideration long before consumers actively researched products. These channels helped establish familiarity and preference at scale, creating the conditions that allowed performance activity to work harder.

The findings reinforced a principle often missed in platform reporting: the channels that create demand are not always the channels that capture it.

Consumers were not simply responding to a search result. They were responding to brands they already knew, trusted and had mentally shortlisted.

3. Revenue was shaped by more than marketing activity.

One of the clearest findings from the analysis was that revenue performance could not be explained by media activity alone.

While marketing delivered an overall 328% return on investment, the model also identified the significant influence of macroeconomic conditions and existing baseline demand. 

The findings highlighted the importance of understanding marketing within the broader context of the market.

Consumer confidence, seasonality, retail demand cycles and existing brand strength all played a significant role in shaping outcomes.

Rather than viewing revenue through a channel-by-channel lens, KitchenAid gained a clearer understanding of how brand, media, retail moments and economic conditions worked together to drive growth.

Revenue wasn't created by media alone.

It was created by a system.