Paid search should not be categorized as a marketing or brand-building activity. It is a sales function that captures existing intent, acting as a "toll booth" for demand created elsewhere. This reframing clarifies its role in the marketing mix and prevents over-crediting it for business growth via last-touch attribution.
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A more effective mental model than PLG vs. SLG is analyzing which activities create new demand versus which ones harvest existing demand. Both sales and product can serve either function. Creating demand is always the harder, more critical challenge for any revenue engine.
AI is creating a fork in marketing strategy. It disrupts traditional demand acquisition channels like search, making it harder and more expensive to get measurable traffic. Simultaneously, it provides powerful new tools to monetize existing demand more effectively. This forces a strategic shift from a volume-based to a value-extraction model.
Stop viewing brand as a top-of-funnel activity. For elite companies, brand isn't a precursor to selling; it is the selling. It creates inbound demand that bypasses traditional conversion tactics like search ads or affiliate marketing, making it the most powerful and sustainable growth engine.
A common attribution error is assigning all sales to paid marketing activities. In reality, most brands have a strong "baseline"—sales that would occur even without marketing. Accurate measurement requires modeling this baseline first, then attributing only the incremental lift from campaigns.
Effective demand generation is a barbell, requiring strong top-of-funnel brand investment to create awareness and great bottom-of-funnel product marketing to convert interest. Viewing performance marketing as a standalone function and funding it in isolation is like "throwing money at a problem but not solving it."
As AI devalues simple clicks, marketing focus must shift to building a strong brand that algorithms recognize as authoritative. High-quality, well-structured owned content (like blogs and reports) becomes more critical for discoverability than traditional performance marketing tactics.
Modern marketing relevance requires moving beyond traditional demographic segments. The focus should be on real-time signals of customer intent, like clicks and searches. This reframes the customer from a static identity to a dynamic one, enabling more timely and relevant engagement.
Shift the mindset from a brand vs. performance dichotomy. All marketing should be measured for performance. For brand initiatives, use metrics like branded search volume per dollar spent to quantify impact and tie "fluffy" activities to tangible growth outcomes.
Google's AI-driven search increasingly values brand authority, making traditional silos that separate brand/PR (reputation) from digital/SEO (traffic) obsolete. To succeed, companies must adopt an integrated strategy where content, PR, search, and social work together to build a unified brand presence across the entire customer funnel.
Solely judging marketing by last-touch attribution creates a false reality. This narrow metric consistently favors predictable channels like search and email, discouraging investment in brand building and creative storytelling that influence buyers throughout their journey. It's a losing battle if it's the only basis for decision-making.
