Overview

In 2026 Amazon’s ad engine has moved from matching keywords to matching shopper personas, using enriched backend attributes and AI to pair products with buyer profiles. Sellers who still rely on classic keyword‑only campaigns must redesign their PPC structures or risk losing visibility and sales.

Key Points

• Backend attributes replace keywords — Amazon now evaluates target audience, use‑case and unique product features to decide ad placement, shifting focus from search terms to product‑level data.
• AI‑driven purchases hit 35‑40% — Visual AI tools such as Rufus are projected to influence more than a third of all Amazon orders by year‑end, up from roughly 15‑20% a year earlier.
• 12‑month LTV metric added — The new Long‑Term Sales metric measures incremental sales over a full year, encouraging advertisers to accept higher short‑term ACoS for long‑term brand growth.
• Personalized search now dominates — Over 60 % of search results are customized to individual browsing and purchase histories, reducing the power of universal keyword rankings.
• Product & ASIN targeting outpaces keywords — Recommended spend splits have shifted to about 40 % on product/ASIN targeting versus 30 % on pure keyword campaigns.
• Audience Builder delivers 20‑40 % lift — Sellers using Amazon’s Audience Builder (launched mid‑2025) report conversion improvements of up to 40 % compared with manually built audiences.

What's Changing in Amazon PPC

1. Create persona portfolios — Instead of grouping ads by exact, phrase or broad match, advertisers set up separate portfolios for distinct shopper segments (e.g., “home‑gym enthusiasts” for fitness equipment).
2. Assign budgets by market size and LTV — Each persona receives a budget proportional to its estimated lifetime‑value contribution; a high‑spending “office‑worker” segment might get twice the spend of a niche “camping‑gear” segment.
3. Layer intent‑based campaign types
   • targets customers already aware of the brand, aiming for ACoS of 10‑15 %.