Digital life
fromForbes
3 hours agoAgencies Must Refresh Stale Media Mixes To Retain Relevance
Social media engagement is declining, particularly among Gen-Z and Millennials, signaling a shift in advertising strategies.
Performance has always been the foundation of commerce media because it tied spend to measurable behavior. From sponsored search to sponsored products, the category scaled by delivering outcomes that could be directly attributed to transactions. Automation, AI-driven optimization and closed-loop measurement accelerated that model and made outcomes-based buying the norm. Outcomes still matter. But as AI reduces friction and increases competition, outcomes alone no longer create separation.
For much of the modern corporate era, brand has been treated as surface area. A story told outward. A set of signals designed to persuade, attract, and differentiate. When companies spoke about brand, they were usually talking about perception: how they looked in the market, how they sounded, how they were received. That framing made sense in a world where markets moved a little more slowly, organizations were stable, and leadership could afford to separate strategy from culture, product from meaning, execution from belief.
This year has been volatile for brands. With tariffs taking effect, the job market slowing, and consumer spending barely keeping pace with inflation, it's no surprise that ad spend has slowed in tandem. Amidst economic uncertainty and an onslaught of unanswered questions, brands are increasingly looking for demonstrable ROI in their marketing and design budgets. Some may choose to invest in a costly new campaign or commit to a new brand identity, while others will default to slashing their budgets altogether.
How do you create brand meaning that's algorithm-proof? By creating moments so meaningful that when the customer's need returns, the brand does too, without any algorithmic assistance. I call it appreciated generosity. In a marketing world increasingly optimized by AI, personalization engines and predictive systems, it's tempting to believe relevance can be engineered entirely through data. But the brands people default to, the ones they don't search for, compare or ask AI to recommend, are built through small, generous brand acts.