To successfully test a new ad platform, focus on three foundational steps: 1) Integrate your data (pixel, CAPI) first. 2) Allow the platform to target broadly for at least 14 days without preconceived notions. 3) Test the platform's deepest engagement surfaces, like Snapchat's chat ads.

When facing a "brick wall" where user perception contradicts data (e.g., feeling ad load is high when it's low), incremental changes fail. The solution is to re-architect the experience from first principles. This can unlock growth in key metrics like ad load while simultaneously improving user satisfaction.

Cookie deprecation blinds ad platforms like Google and Meta to on-site conversion quality. Marketers can gain a significant performance edge by creating a feedback loop, pushing their attributed first-party data (like lifetime value and margins) back into the platforms' AI systems in near real-time.

AI's power is not in creating successful strategies from scratch, but in scaling your existing best practices. An AI agent cannot make a broken process work. First, identify what messaging and campaigns are effective, then use AI to execute them at a near-infinite scale, 24/7.

Social platforms want to acquire new advertisers. By boosting your best-performing organic posts with micro-budgets (even just $5), you can achieve disproportionately large reach as platforms "make it rip" to encourage future spending. Don't boost underperforming content.

Frame marketing strategy not as managing channels, but as "day-trading attention." Identify platforms where user attention is high but advertising costs are low due to a lack of saturation from major brands. This arbitrage opportunity allows smaller players to achieve outsized results before the market corrects.

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.

To balance execution with innovation, allocate 70% of resources to high-confidence initiatives, 20% to medium-confidence bets with significant upside, and 10% to low-confidence, "game-changing" experiments. This ensures delivery on core goals while pursuing high-growth opportunities.

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.