Don't unleash a generic AI agent on your entire database. To get high response rates, segment contacts into specific sub-personas based on role, behavior, or status (e.g., churn risk). Then, train dedicated sub-agents or campaigns for each persona, allowing for true personalization at scale in batches of around 1,000 contacts.

Social media has evolved into 'interest media.' The algorithm is so effective that the content itself—the words you use, your background, your appearance—is the primary targeting mechanism. Instead of chasing broad appeal, create content specifically for your ideal avatar, and the platform will find them for you.

Instead of a one-size-fits-all message, brands should create hyper-relevant content for different demographics (e.g., high school football teams, working moms) on the platforms they use (e.g., TikTok, LinkedIn). This decentralized approach builds a stronger, more resilient brand than a single campaign.

Generic demographic targeting like '18-35 year olds' is ineffective. Instead, develop 30-40 hyper-specific consumer segments based on unique motivations, such as 'a 25-year-old male using wine for dating.' This niche approach makes creative more resonant, helping algorithms find the ideal audience.

Acknowledging that "relevance" is subjective shouldn't lead to creating generic, one-size-fits-all campaigns. Instead, it demands a high-volume creative strategy that produces dozens of distinct assets, each tailored to be hyper-relevant to a specific consumer segment or "demand state."

Social media has shifted from 'social' to 'interest' media, where the algorithm targets users based on the content they consume. Making hyper-specific content for your target audience is the most effective form of targeting. Resist making broad content for vanity metrics, as it won't reach qualified buyers.

Marketing on social media is no longer about who follows you ('social graph') but about what the algorithm shows users based on their behavior ('interest graph'). This fundamental shift forces brands to create a high volume of content tailored to specific consumer segments to achieve relevance and reach.

Broad personas like 'small business owners' are ineffective. To create resonant ads, define avatars by industry, location, tool usage, and ad spend to speak directly to their specific pain points.

Stop creating broad content to chase views. Algorithms are so effective that creating hyper-specific content for your ideal customer is the most efficient way to reach them. The content itself is now the targeting mechanism.