Marketers often silo brand-building and sales-driving objectives, but they are intrinsically linked. If a creative fails to generate a short-term sales lift, it's a strong signal that it's also failing to build long-term brand equity. An ad that sells inherently delivers an equity benefit.
The true power of AI in marketing is not generating more content, but improving its quality and effectiveness. Marketers should focus on using AI—trained on their own historical performance data—to create content that better persuades consumers and builds the brand, rather than simply adding to the noise.
Conventional engagement metrics like likes and shares are often misleading. A more valuable indicator of content quality is dwell time. In an environment where users can easily skip content, their choice to spend more time with an ad is a powerful behavioral signal that the message is resonating.
Extensive behavioral research on ad performance reveals a clear pattern: simplicity is superior. Creatives with multiple storylines, clutter, and excessive detail create cognitive load and reduce effectiveness. The best-performing ads feature a single, clear message that is easy for the human brain to process quickly.
Marketers often equate effectiveness with ad ROI, but communications typically drive only 10% of sales. The other 90% is influenced by levers like pricing, distribution, and product performance. True marketing effectiveness requires a holistic view across all these business areas, not just advertising.
Instead of starting with available data, marketers should first identify and rank key business decisions by their potential financial impact. This decision-first approach ensures data collection and analysis efforts are focused on what truly drives business value, preventing 'analysis paralysis' and resource waste.
Traditional ad testing relies on surveys, which are unreliable as respondents may not be truthful or self-aware. A more predictive method is to measure actual consumer behaviors like attention and emotional response using neuroscience and AI. These are more direct indicators of an ad's potential sales impact.
With engineer CEOs leading 9 of the top 10 global companies, the C-suite increasingly values analytical rigor. Marketers must evolve beyond gut-feel by embracing a hypothesis-driven, systems-thinking approach. This not only improves decision-making but also enhances communication and credibility with analytically-minded leadership.