If Amazon ads now feel like a maze of rising CPCs, endless keywords, and dashboards that never sleep, you’re not imagining it. The platform has shifted from organic-first to pay to play—and the only sustainable response is smarter execution that blends learning systems with human strategy.

We sit down with the CEO of Ava Commerce to unpack what “AI-driven” should actually mean for Amazon and D2C brands. Instead of black-box promises, we explore a configurable approach: let AI learn from your data across campaign creation, bid optimization, dayparting, and keyword negation, but keep owners and PPC leads in control with rules at the store, product, and campaign levels. You’ll hear how to tag products into portfolios with different TACOS goals, automate keyword isolation, and sunset underperformers quickly—freeing 65% of the grunt work so humans can focus on decisions that move margin.

Context still wins. We break down when to push for top-of-search visibility over strict ACOS, how to pair ads with pricing and promotions to lift conversion, and why creative and SEO matter more than ever for CTR and CVR. We also dig into audience strategy for DSP, where human insight crafts timing and intent—like targeting competitor buyers when they are most likely to repurchase—while AI handles the execution. Beyond ads, we touch on cash discipline through FBA reimbursements and vendor funds recovery, and why unlimited strategic support helps teams turn software into outcomes.

If you’re ready to scale profit, not just spend, this conversation offers a clear playbook: align creative with conversion, reclaim lost dollars, and deploy configurable AI that learns while you lead. Subscribe, share with a fellow seller who needs a smarter PPC plan, and leave a review with the one lever you’re automating first.

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