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.
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Contrary to the belief that messaging should be universally simple, Hexagon discovered that using specific, technology-oriented terms led to higher user engagement, dwell time, and click-through rates. This suggests users prefer concrete language over vague, high-level concepts, even if not every term is relevant to them.
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.
A month with 25% fewer views can generate a record number of leads if the content is highly targeted to the right audience. This proves that viewer quality and intent are far more valuable for lead generation than raw view count, a common vanity metric.
Platforms optimize for their own goals, not yours. Don't mistake their vanity metrics (views, likes) for key business drivers. A clip with 100 million views can have an imperceptible impact on core goals like long-form downloads or newsletter sign-ups. Constantly ask "why" a metric matters to avoid platform capture.
Stop planning creative and media buys simultaneously. Instead, post creative organically first. Then, exclusively allocate media spend to amplify the content that has already demonstrated strong consumer engagement, forcing creative to be effective on its own merit before receiving paid support.
To evaluate AI's role in building relationships, marketers must look beyond transactional KPIs. Leading indicators of success include sustained engagement, customers volunteering more information, and recommending the experience to others. These metrics quantify brand trust and empathy—proving the brand is earning belief, not just attention.
YouTube's algorithm now reads the full video transcript, making traditional keyword SEO obsolete. Success depends on optimizing for the recommendation feed, which drives 70% of traffic, by maximizing click-through rate and average view duration.
Social media algorithms value time spent more than passive engagement like "likes." To increase your visibility with target prospects, engage in back-and-forth conversations in their direct messages. This signals to the algorithm that your relationship is important, making it more likely your content will appear in their feed.
Counterintuitively, dedicating budget to campaigns optimized for engagements, follows, and shares can be a powerful brand-building tool. This approach reaches more people less expensively than conversion campaigns, building an audience and 'searing memories' that lead to future demand, complementing direct response efforts.
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.