Competitive Share-of-Voice Monitoring

Kraft Heinz, the multinational food company, provides a well-documented example of AI-powered share-of-voice monitoring in practice. According to a 2024 Profitero case study, the company's Philadelphia cream cheese brand had lost market share in early 2023. By deploying digital shelf intelligence integrated with retail media automation through Profitero and Pacvue, the team implemented rules that automatically increased advertising bids when competitors went out of stock, maximizing share of voice during periods of reduced competition. The results included a 28% increase in new-to-brand orders on Walmart, a 5% increase in paid share of voice on the most frequently searched keywords, and a 25% lift in ad-attributed sales.

In the United Kingdom, a leading baby products brand holding 60% market share and 77% share of the top-ranked search position for category keywords partnered with Profitero and a marketing intelligence platform to optimize advertising spend allocation. According to the Profitero case study, the analysis revealed that significant ad spend was directed toward products with ongoing availability issues, and that opportunities existed to redirect investment toward higher-converting items. By reallocating media budgets based on real-time digital shelf signals, the brand improved advertising efficiency while defending its dominant share-of-voice position.

In the retail media space more broadly, a leading food and beverage portfolio managing three coffee brands in the same category used share-of-voice automation rules rooted in competitor availability data. According to Pacvue, the coffee portfolio achieved a 458% higher new-to-brand return on ad spend and a 57% reduction in cost per acquisition by automatically adjusting campaigns based on competitive intelligence signals. These examples illustrate how AI-driven share-of-voice monitoring enables both offensive market share capture and defensive position protection across retail media channels.