Wed, Feb 25 • 2 PM ET

Live session: How to Prioritize Amazon Growth in a Non-Linear World

A clearer framework for prioritizing growth as keywords, TV, and demand become more connected.

Destaney Wishon

CEO / Co-Founder

BTR Media

Destaney Wishon is a recognized voice in the Amazon advertising space, known for staying ahead of platform evolution and framing what it means for brands and leadership teams.

Core Topics We Will Cover

  • How to think about measurement, incrementality, and leadership expectations in a non-linear world

    Clean attribution is not the same as accurate understanding. We will cover how to set realistic measurement expectations and have better conversations with leadership about impact.

  • How to prioritize what to work on first based on traffic, conversion, and category context

    Not every brand should focus on the same levers. We will share a framework for deciding what actually deserves attention based on where growth is being constrained.

  • Why Amazon growth feels harder than it used to and what actually changed

    Amazon did not suddenly get more complicated for no reason. We will break down what has actually shifted in the platform, the tools, and shopper behavior, and why the old playbooks are no longer enough on their own.

  • The role of TV and video in influencing performance, not replacing it

    Video is not about abandoning performance goals. It is about shaping consideration and intent in ways that show up later in results, even if the path is not linear.

  • How demand creation and demand capture work together on Amazon

    Performance does not start at the search bar. We will talk through how upper-funnel efforts and lower-funnel tactics connect, and why separating them leads to missed opportunity.

  • The shift from keyword-first thinking to audience-led strategy

    Keywords still matter, but they are no longer the center of the strategy. We will cover how audience signals are changing how brands find and influence shoppers earlier in the journey.

  • Where AI actually helps and where it creates more confusion

    AI can be incredibly useful, but only in the right places. We will separate practical, proven use cases from areas where AI often adds confusion instead of clarity.