The true power of AI in marketing is not generating more content, but improving its quality and effectiveness. Marketers should focus on using AI—trained on their own historical performance data—to create content that better persuades consumers and builds the brand, rather than simply adding to the noise.

Instead of guessing what short-form content will resonate, identify existing long-form videos or articles with the highest engagement. Transcribe these proven winners and use AI to extract impactful clips, carousels, and tweets. This method leverages past success to increase the probability of future performance.

Five years ago, success on TikTok came from quickly hopping on trends. According to Duolingo's Zaria Parvez, that strategy is now saturated. Brands that stand out today prioritize unique creative that isn't trend-dependent, as consumers have grown tired of seeing dozens of brands doing the same thing.

Acknowledging that "relevance" is subjective shouldn't lead to creating generic, one-size-fits-all campaigns. Instead, it demands a high-volume creative strategy that produces dozens of distinct assets, each tailored to be hyper-relevant to a specific consumer segment or "demand state."

If your creative assets aren't culturally relevant, you're forced to overspend on media to achieve impact. Truly resonant content generates organic reach and makes paid amplification more efficient, a key argument for CFOs on the value of creative investment.

Once a YouTube channel is established, the biggest audience growth improvements often come from optimizing thumbnails, headlines, and scripted introductions—the content's "packaging." This is a higher-leverage activity for experienced creators than simply increasing production volume.

The common advice to chop up a single video or blog post for every social platform is a myth. Each platform's algorithm and audience expectations demand native content. True growth comes from mastering one or two channels with tailored content, not from thinly spreading repurposed material across many.

Instead of only planning future content, create a database (in Notion or a Google Sheet) of all published assets. Tag each piece by topic, pain point, and performance metrics (likes, shares, open rates) to systematically identify what resonates and should be repurposed.

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.