Your candy ads are about to get a lot more personalized, Mars says

The shift toward hyper-personalized advertising in consumer goods marks a quiet revolution in how brands engage with audiences—and Mars’ latest move underscores just how rapidly that transformation is unfolding. By leveraging artificial intelligence and granular consumer data, the company is abandoning traditional mass-market candy campaigns in favor of individualized messaging for brands like Snickers and M&M’s. At first glance, this might seem like a niche marketing tactic, but its implications stretch far beyond the candy aisle. Personalized advertising isn’t new, but the scale and sophistication of AI-driven targeting are accelerating, raising questions about privacy, brand loyalty, and the very future of consumer choice. The background here matters. For decades, candy marketing thrived on broad, emotionally resonant campaigns—think Snickers’ “You’re not you when you’re hungry” or M&M’s playful anthropomorphism. These ads weren’t just about selling products; they were cultural touchstones, shaping generational preferences. Now, Mars is betting that the same AI tools that power social media feeds and streaming recommendations can do more than just sell candy—they can shape it to the moment, the mood, or even the individual’s browsing history. This reflects a broader trend in consumer goods, where data analytics have moved from optional to essential. Companies like Coca-Cola and PepsiCo have already experimented with similar strategies, but Mars’ pivot suggests the trend is entering a new phase, where personalization isn’t just a feature but the default. What happens next isn’t just a question of marketing efficiency. If personalized candy ads become the norm, smaller competitors may struggle to compete, lacking the resources to tailor messages at scale. Regulators could also take notice, as deeper data integration raises fresh privacy concerns. Meanwhile, consumers accustomed to generic ads may find themselves in a feedback loop where their preferences are both reflected and reinforced by algorithms—potentially narrowing their choices without their explicit consent. The broader trend here is one of fragmentation. Just as streaming fragmented entertainment, personalized advertising threatens to fracture traditional brand universes into millions of micro-audiences. The question isn’t whether this will work for Mars, but how it will reshape the entire consumer landscape—and whether the cost to privacy and diversity is one we’re willing to pay.