Intro
Amazon Ads is evolving rapidly in 2026, giving ecommerce brands new ways to reach shoppers, improve campaign targeting and increase advertising efficiency. Advances in artificial intelligence (AI), audience insights and automated campaign management are changing how sellers promote products across Amazon’s marketplace and other digital channels. New features include enhanced audience targeting, AI-powered advertising prompts, automated product collections and campaign intelligence designed to help advertisers identify opportunities more quickly.
For US ecommerce brands, these developments create opportunities to attract high-intent shoppers, improve product discovery and make advertising budgets work harder. However, success still depends on choosing relevant audiences, maintaining profitable bids and measuring campaign performance accurately. Understanding the latest Amazon Ads targeting features can help sellers, marketing professionals and online retailers build more effective paid advertising strategies in 2026.
Lets Dive In
How Amazon Ads Targeting Works
Amazon Ads enables sellers and brands to promote products to shoppers as they search, browse and compare products. Unlike advertising that relies primarily on demographic information or general interests, Amazon advertising can use shopping-related signals to help identify people whose behavior suggests an interest in particular products.
Sponsored Products ads appear in shopping results and product detail pages, helping sellers promote individual listings. Sponsored Brands ads give registered brands opportunities to showcase products, videos and brand messaging. Display and video advertising can extend campaigns beyond traditional shopping placements, depending on the advertising solution and targeting options selected.
Advertisers can combine keyword targeting, product targeting and audience-based approaches to reach potential customers at different stages of the buying journey. These methods can help businesses attract new shoppers, encourage product consideration and support repeat purchases.
Amazon’s official Sponsored Products targeting guide explains how automatic targeting uses shopping queries and product information to identify relevant opportunities. Manual targeting gives advertisers greater control over selected keywords and products, while automatic targeting can help discover additional search terms and placements.
In 2026, Amazon is expanding these capabilities with AI-assisted targeting, more automated optimization and tools that connect advertising activity with shopper intent. The aim is to reduce repetitive campaign management while helping brands reach relevant audiences more effectively.
The Biggest Amazon Ads Targeting Changes in 2026
AI-Powered Audience Targeting
One of the most important developments is Amazon Ads’ enhanced audience targeting for display, video and audio campaigns. Announced in February 2026, these capabilities introduce Product and In-market categories targeting, alongside keyword targeting that became generally available in November 2025.
According to Amazon Ads’ announcement, the new approaches combine behavioral and contextual signals to help advertisers reach relevant audiences without manually creating separate line items for every targeting method.
Product targeting can identify shoppers interested in specific products, including complementary products or items they have viewed or searched for. In-market categories targeting helps advertisers reach shoppers whose signals suggest they may be considering a purchase within a selected category.
For example, a US home fitness brand could use relevant product targeting to reach shoppers researching exercise equipment or browsing complementary accessories. An outdoor retailer could target audiences showing interest in camping products before the peak summer shopping season.
These capabilities may improve audience relevance and simplify campaign setup. However, advertisers should still monitor reach, conversion rates and costs. Broader automated targeting is not automatically more profitable than a carefully managed manual campaign.
Sponsored Products and Sponsored Brands AI Prompts
Amazon Ads has also expanded AI-powered prompts within Sponsored Products and Sponsored Brands campaigns. Following an earlier open beta, these prompts became generally available to eligible US advertisers on March 25, 2026.
The feature uses Amazon’s first-party information, including product detail pages, Brand Stores and campaign data, to surface relevant product information at important shopping moments. When shoppers interact with a prompt, it can open a conversation in Amazon’s Rufus shopping assistant or provide a response directly on the page.
The objective is to help customers answer questions that may not be fully addressed by a standard product listing. A shopper comparing kitchen appliances, for instance, might need additional information about capacity, compatibility or product features before deciding to purchase.
For ecommerce brands, this creates another opportunity to support product discovery and reduce uncertainty during the buying process. Clear product descriptions, accurate specifications and useful listing content become even more important because they help provide the information shoppers need.
Amazon’s official announcement about Sponsored Ads prompts explains the feature and its reporting capabilities. Eligible advertisers can review prompt performance and pause prompts through the advertising console.
Importantly, prompts use existing campaign targeting and billing arrangements. Advertisers should therefore monitor the associated spend, clicks, orders and return on ad spend rather than assuming the additional functionality is cost-free.
AI-Powered Sponsored Brands Collections
Another notable 2026 development is the introduction of Sponsored Brands collections. Announced in May 2026, this format allows advertisers to promote several related products in a single ad unit using either automatic AI-powered selection or manual product selection.
With automatic selection, Amazon’s AI can curate product groupings using shopping signals, search intent and product context. Advertisers who prefer more direct control can manually select products and exclude specific items from their collections.
This can be particularly valuable for ecommerce brands with extensive catalogs. A skincare company, for example, could promote a collection of cleansers, moisturizers and complementary products without building separate advertising campaigns for every combination.
The approach can also help customers discover related products they might not otherwise encounter. By presenting a relevant selection in one ad, brands can encourage shoppers to explore more of their catalog.
Advertisers should still ensure that the products displayed are appropriate for the campaign objective, available in sufficient inventory and supported by competitive product listings. Automated selection can save time, but product relevance and profitability remain business priorities.
Details are available in Amazon Ads’ announcement about Sponsored Brands collections.
AI-Powered Campaign Intelligence
In September 2026, Amazon Ads announced new campaign intelligence tools designed to help sponsored ads advertisers understand performance and identify optimization opportunities.
The campaign intelligence dashboard is designed to highlight insights across targeting, bids and budgets. For example, it may identify a keyword losing impression share or recommend a targeting adjustment to reach shoppers who have browsed a product but have not purchased it.
These recommendations can help advertisers identify opportunities that might otherwise require extensive manual reporting. Rather than reviewing numerous campaign reports individually, sellers can use the dashboard to investigate potential improvements and decide which actions to take.
Amazon announced that the dashboard would become available to US sponsored ads advertisers in October 2026. Advertisers should check their account to confirm availability.
The company also announced AI-powered auto-optimization, which is designed to identify relevant keywords, adjust targeting opportunities and respond to seasonal changes. However, Amazon’s September announcement scheduled this capability for US availability in January 2027. It should therefore be treated as an upcoming development rather than a feature universally available to advertisers in October 2026.
These changes point toward a more automated approach to Amazon PPC management. Even so, advertisers should review recommendations against their margins, inventory levels and campaign objectives before accepting changes.
Read Amazon Ads’ September 2026 announcement for further details.
How New Targeting Features Benefit Ecommerce Brands
Reaching High-Intent Shoppers
One of the main benefits of Amazon Ads is its connection to shopping activity. Product searches, browsing behavior and category interests can help advertisers identify shoppers who may be closer to making a purchase.
Enhanced targeting allows ecommerce brands to explore relevant audiences without relying exclusively on manually selected keywords. This can be useful when entering a new product category or launching products with limited advertising history.
For example, a US electronics brand launching wireless headphones might use keyword targeting to reach people searching for specific features. Product targeting could help it reach shoppers comparing competing headphones, while broader audience targeting may identify people exploring related electronics.
Combining these approaches can increase the range of relevant opportunities available to a campaign. The best mix will depend on competition, product pricing, conversion rates and advertising objectives.
Improving Product Discovery and Cross-Selling
AI-powered collections and product targeting can help brands showcase related products to relevant audiences. This creates opportunities for cross-selling and catalog discovery, especially for businesses with complementary product ranges.
A pet supplies company might promote food, grooming products and accessories together. A home furnishings brand could use related product collections to help shoppers explore coordinated items.
These approaches may increase the likelihood that customers discover additional products. However, advertisers should measure whether additional exposure translates into profitable orders rather than assuming that broader product visibility will automatically increase revenue.
Reducing Manual Campaign Management
Managing Amazon PPC campaigns can involve extensive keyword research, bid adjustments, search-term analysis and budget monitoring. Automated targeting and campaign intelligence can reduce some of this repetitive work.
Smaller ecommerce businesses may benefit because they often have limited time and marketing resources. AI-assisted recommendations can help identify areas requiring attention without requiring every decision to begin with a manual data review.
Automation should nevertheless support, rather than replace, sound campaign management. Advertisers still need to review search-term relevance, monitor wasted spend and make sure automated changes align with their commercial goals.
Supporting Seasonal Campaigns
US ecommerce brands frequently adjust their advertising strategies around events such as Prime Day, back-to-school shopping, Black Friday and Cyber Monday.
AI-powered optimization may help advertisers respond to changing search behavior and identify new opportunities during busy periods. However, seasonal performance depends on inventory, competition, pricing and customer demand as well as targeting.
Advertisers should prepare campaigns in advance, set realistic budgets and monitor results throughout the event. Automation can help identify opportunities, but it cannot compensate for stock shortages, uncompetitive pricing or weak product listings.
Measuring Amazon Ads Performance in 2026
New targeting features are most useful when their results can be measured accurately. Ecommerce brands should evaluate campaign performance using metrics that reflect both advertising efficiency and business growth.
Advertising cost of sales (ACOS) measures advertising spend as a percentage of attributed sales. Return on ad spend (ROAS) measures attributed sales generated for each advertising dollar. Both are useful for evaluating campaign performance, but neither fully explains profitability.
For example, a campaign generating strong sales may still be unprofitable if product margins are low, fulfillment costs are high or advertising costs increase significantly. Brands should consider contribution margin, discounts, returns and other relevant expenses when setting performance targets.
Conversion rate helps advertisers understand how effectively clicks translate into orders. Click-through rate can indicate whether an ad attracts attention, while cost per click helps explain how much advertisers pay to generate traffic.
Brands running Sponsored Brands campaigns should also consider new-to-brand metrics where available. These measures can help assess whether advertising is attracting customers who have not previously purchased from the brand on Amazon.
Amazon provides information about its Sponsored Brands advertising solutions and measurement options. Combining these metrics helps ecommerce businesses distinguish between campaigns that generate immediate sales and those that support longer-term customer acquisition.
Best Practices for Optimizing Amazon PPC Campaigns
Combine Automatic and Manual Targeting
Automatic targeting can help identify search terms and product opportunities, while manual targeting provides greater control over specific keywords and product targets.
Running both approaches can create a useful learning cycle. Advertisers can use automatic campaign reports to identify promising search terms and incorporate relevant discoveries into manual campaigns.
However, duplicated targeting and poorly controlled bids can increase costs. Campaign structures should make it easy to understand which targeting approaches generate sales and where budget is being spent.
Improve Product Listings Before Increasing Spend
Advertising can bring shoppers to a product page, but the listing must persuade them to buy. Product titles, images, descriptions, pricing, reviews and availability all influence the shopping experience.
Brands should make sure their listings accurately explain product benefits and answer common customer questions. This becomes especially relevant as AI-powered prompts provide more opportunities for shoppers to seek additional product information.
Increasing advertising spend before addressing weak listings can generate more clicks without delivering a corresponding increase in orders.
Set Budgets Around Profitability
Ecommerce brands should establish campaign objectives and financial limits before increasing advertising investment. A product launch may justify a different short-term ACOS target from an established product with consistent sales.
Advertisers should also consider inventory availability and product margins. Campaigns that generate substantial demand for products that cannot be restocked may create avoidable business problems.
Reviewing performance regularly helps teams identify overspending, protect profitable campaigns and allocate budgets to the opportunities most closely aligned with their objectives.
Challenges and Considerations for Advertisers
Although Amazon Ads is becoming more automated, ecommerce brands still face important challenges. Increased competition can raise advertising costs, while broader targeting can introduce less relevant traffic if campaigns are not monitored carefully.
AI-generated recommendations also depend on the quality and relevance of the available data. A recommendation that appears beneficial at the campaign level may not reflect the profitability of an individual product.
Advertisers should maintain visibility into campaign changes and evaluate whether automated actions improve meaningful business outcomes. They should also distinguish between features currently available in their accounts and announcements scheduled for later release.
Finally, Amazon advertising should be considered as part of a wider ecommerce strategy. Product availability, pricing, customer service, listing quality and organic visibility all contribute to commercial performance. Paid advertising is most effective when these elements work together.
Building Amazon Ads and Paid Advertising Skills in 2026
As Amazon Ads introduces more advanced targeting and AI-assisted optimization, ecommerce professionals need a combination of technical knowledge and commercial judgment. Understanding campaign settings is important, but successful advertisers must also interpret performance data, manage budgets and evaluate profitability.
Learn Amazon PPC Fundamentals
Beginners should start with Sponsored Products, keyword targeting, product targeting, bidding strategies and campaign structure. These foundations make it easier to understand how newer AI-powered features fit into the wider advertising ecosystem.
Develop Analytics and Optimization Skills
Professionals should learn to interpret ACOS, ROAS, conversion rates and search-term reports. Spreadsheet skills and basic data analysis can help identify trends, investigate wasted spend and compare campaign performance.
Practice With Realistic Campaign Scenarios
Hands-on projects can help learners develop practical experience. A portfolio project might compare automatic and manual targeting, calculate campaign profitability or evaluate how a proposed bid change could affect performance.
Documenting the results demonstrates the ability to make decisions based on evidence rather than relying entirely on automated recommendations.
Continue Learning as Amazon Ads Evolves
Online courses and official training resources provide a flexible way to keep skills current. Learners should prioritize updated material that reflects the current advertising console, modern targeting options and AI-powered campaign tools.
Amazon Ads’ own Academy is particularly useful because it offers training, certifications and learning paths directly related to its advertising products. Combining this material with broader ecommerce and marketing analytics training can help professionals develop skills that transfer to other paid advertising platforms.
Recommended Online Courses to Build Amazon Ads Targeting Skills in 2026
Amazon Sponsored Ads Certification — Amazon Ads Academy
Platform: Amazon Ads Academy
Level: Beginner
Focus: Sponsored Products, Sponsored Brands, campaign strategy, targeting, performance reporting and optimization
Amazon Ads Academy provides free training designed to help advertisers build practical knowledge of Amazon’s advertising products. The Sponsored Ads Certification is particularly relevant to this article because it covers the core skills needed to plan, manage and optimize sponsored advertising campaigns. Learners can also explore guided learning paths, tutorials and resources covering Amazon Ads features and campaign best practices.
After completing the required learning and passing the assessment, learners receive a digital certification badge. This can help demonstrate platform-specific knowledge to employers, clients and ecommerce businesses. The Academy is especially useful for sellers who want to understand Amazon’s own advertising tools before experimenting with new targeting features and AI-assisted campaign management. Its training is free, making it an accessible starting point for beginners and small business owners.
Course link: Amazon Sponsored Ads Certification — Amazon Ads Academy
2026 Amazon Ecommerce Marketing and Sales: SEO & Ads — Coursera
Platform: Coursera
Level: Beginner
Focus: Amazon ecommerce marketing, paid media, keyword research, product promotion, SEO and advertising analytics
This course explores how paid advertising fits into a wider ecommerce growth strategy. Learners develop an understanding of keyword research, product promotion, search engine optimization and digital advertising. These skills are useful for sellers who want to connect their Amazon Ads campaigns with product listings, customer demand and overall sales performance.
The course is a good option for beginners who need a broader foundation before moving into more advanced campaign targeting. It can also help learners understand why advertising performance depends on more than bids alone. Product relevance, listing quality, search intent and conversion rates all influence results.
Course link: 2026 Amazon Ecommerce Marketing and Sales: SEO & Ads — Coursera
Proven & PROFITABLE Amazon PPC Advertising Course (2026) — Udemy
Platform: Udemy
Level: Beginner to intermediate
Focus: Amazon PPC, keyword research, bid optimization, campaign management, advertising costs and sales performance
This practical course focuses on improving Amazon pay-per-click (PPC) advertising through structured campaign management and optimization. Topics include finding relevant keywords, managing bids, reviewing campaign performance and controlling advertising costs. These skills are particularly useful for sellers who want to turn campaign data into better targeting and more informed budget decisions.
Although the course emphasizes practical advertising techniques rather than every new Amazon Ads feature, the skills it develops are directly relevant to evaluating targeting options, testing campaign changes and measuring results. Learners should apply its methods to their own campaign data and continue checking Amazon’s official documentation as advertising capabilities evolve.
Course link: Proven & PROFITABLE Amazon PPC Advertising Course (2026) — Udemy
Final Thoughts
Amazon Ads has introduced important targeting and campaign management developments in 2026, including enhanced audience targeting, AI-powered Sponsored Ads prompts, automated Sponsored Brands collections and campaign intelligence. These features give US ecommerce brands new ways to reach relevant shoppers, improve product discovery and reduce repetitive campaign management.
The benefits depend on how effectively advertisers apply the tools. Product relevance, profitable bids, strong listings and accurate measurement remain essential. Brands should also distinguish between features already available and capabilities scheduled for future rollout.
For ecommerce sellers and paid advertising professionals, developing Amazon PPC and analytics skills is increasingly valuable. Online courses, official certifications and practical campaign exercises can help learners understand the latest tools and make better decisions. The strongest approach combines AI-powered efficiency with human judgment, ensuring that advertising activity supports sustainable sales and profitable business growth.
