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Marketing to Gen Z: designing content that earns attention

A guide to relevance, testing formats and connecting short-form video to business outcomes.

This guide translates a current marketing and AI question into a practical operating conversation—one that teams can use to make a clearer next decision.

Attention is a sequence

A view is not understanding. Content first needs a reason to stop, then a point people can grasp, then a reason to save, share or act. Reading those signals together keeps creativity connected to performance.

Start with a small, observable change. Define the owner, the evidence to review and the condition that would make the team continue, adjust or stop. That is how a useful practice survives after the initial excitement.

Build an editorial learning loop

Test hooks, structures, creators and calls to action around a stable brand idea. AI can organise comments and draft alternatives, but people still need to decide which cultural codes are credible and appropriate.

Start with a small, observable change. Define the owner, the evidence to review and the condition that would make the team continue, adjust or stop. That is how a useful practice survives after the initial excitement.

TAKEAWAY

Better execution comes from a clear process, accountable people and a learning loop—not from adding complexity for its own sake.

COMMON QUESTIONS

Questions worth answering before acting.

Where should a team begin?

Begin with the customer or operating problem that creates real friction today. Choose a narrow workflow, agree on the expected outcome and review what improves before scaling it.

How do we know it is working?

Compare the baseline with the new practice: time to complete work, quality of the output, clarity of decisions and the business signal the workflow was meant to influence.

Nicolás Gómez
Nicolás Gómez

Speaker, executive educator and strategist in AI, marketing and growth. He shares practical tools that help teams turn technology change into better execution.

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