Platforms are moving beyond engagement metrics like clicks and watch time. The next frontier is optimizing for a user's entire lifespan (LTV) by showing content that increases their long-term value as a consumer, such as educational material that leads to higher-paying jobs and greater purchasing power.
Relying solely on a chronological feed of followed accounts limits growth. The "For You" page, despite its pitfalls, is a powerful discovery tool. The ideal strategy involves using both: a curated feed for engagement and a discovery algorithm for finding new, compelling voices.
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.
Gary Vaynerchuk argues that platforms have evolved beyond a follower-based model ("social media"). Now, algorithms dominate, creating an "interest media" landscape where content is surfaced based on a user's demonstrated interests, regardless of whom they follow. This makes the content itself paramount over follower counts.
Instead of focusing solely on conversion rates, measure 'engagement quality'—metrics that signal user confidence, like dwell time, scroll depth, and journey progression. The philosophy is that if you successfully help users understand the content and feel confident, conversions will naturally follow as a positive side effect.
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.
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.
The future of paid social lies beyond broad audience targeting. The next level of sophistication involves using identity data to dynamically adjust ad spend and frequency based on the specific value of an individual consumer and their stage in the journey. This means not all site visitors are treated equally in retargeting.
Meta's new "Value Rules" feature allows advertisers to set account-wide bid modifiers that are independent of ad-set targeting. This enables them to bid more for high-LTV customer segments and less for low-LTV ones, optimizing ad spend for long-term profitability over simple, immediate conversions.
CLTV isn't just a metric; it's a strategic map. Understanding purchase frequencies and the entire customer lifecycle should be the foundation for creative choices, promotional timing, and messaging. Many brands neglect this, but it's the key to balancing acquisition with profitable retention.
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.