
Messaging fails to explain the outcome and the value proposition is unclear.
If a prospect can't explain what you do and why it matters after reading your homepage, your messaging has failed. Clear value communication is the difference between traffic and conversion.
Hopkins: people "care nothing about your interests or your profit. They seek service for themselves." Ogilvy: "The key to success is to promise the consumer a benefit." Kennedy and Lasker called it reason-why copy: tell people why the product makes their life better.
• Buzzwords
• Generic headlines
Owned — Headlines lack a clear outcome or benefit.
Earned — Press mentions don't explain why the company matters.
Paid — Ads focus on brand name, not value.
Analytics — Conversion rate is low but unexplained.
AI — AI-generated copy lacks specificity.
• Lead with outcome, not feature
• State the promise in one sentence a customer would repeat

In Scientific Advertising (1923), Claude Hopkins argued that superlatives like "best in the world" damage credibility, because readers take them as carelessness and discount them. His chapter "Being Specific" opens: "Platitudes and generalities roll off the human understanding like water from a duck." His examples swap adjectives for measurements: a shaving soap that stopped promising abundant lather and started saying it softens the beard in one minute, and a razor maker whose "78-second shave" outsold rivals still promising quick shaves. Modern research adds a limit. Zhang and Schwarz (2013) found precise figures anchor judgment more strongly than round ones, but the advantage disappeared when people believed a computer, not a person, had produced the number.
What it means for this rule: Clear value is carried by facts, not adjectives. Replace each superlative with a number that can be defended under questioning, and favor numbers only the business could know (test counts, timings, sample sizes). An unsourced figure does not rescue a vague message; it makes a specific promise that can be caught out.
Sources: Hopkins, Scientific Advertising (1923), full text · Zhang & Schwarz (2013), The power of precise numbers