How to Optimize Ads Targeting and Achieve Better ROI with AMC?

Amazon Marketing Cloud (AMC) offers a sophisticated, data-driven approach to audience targeting and campaign optimization on Amazon. By leveraging real-time behavioral and transactional data, AMC allows advertisers to create highly targeted audience segments, move beyond generic demographic categories, and refine their strategies for maximum impact.

This guide details the step-by-step process of integrating AMC into your Amazon Ads ecosystem. From audience creation to multi-touch attribution and cross-channel optimization, AMC provides advertisers with actionable insights to optimize Amazon ads. By enabling real-time data activation, custom audience building, and advanced attribution capabilities, AMC ensures that advertising spend is directed towards high-intent users, maximizing conversion rates and return on ad spend (ROAS).

How AMC is Redefining Audience Segmentation for Amazon Ads?

Prior to Amazon Marketing Cloud (AMC), audience-based targeting on Amazon was primarily confined to Amazon DSP and, to a limited extent, Sponsored Display, relying on predefined segments such as in-market, lifestyle, and demographics. Sponsored Products and Sponsored Brands did not support custom audience segmentation and remained keyword- and ASIN-driven. While effective for reach, these "off-the-shelf" audiences lacked the granularity required for tailored campaigns.

AMC represents a leap forward by allowing advertisers to analyze and activate audiences using aggregated, privacy-safe event-level exposure and conversion signals. Instead of targeting broad profiles, sellers can now leverage real-time behavioral and transactional insights.

5 Benefits of Amazon Marketing Cloud for Advertising

1. Unified Cross-Channel Measurement & Multi-Touch Attribution

AMC centralizes exposure and conversion data from Sponsored Products, Sponsored Brands, Sponsored Display, and Amazon DSP into a single analytics environment. This Amazon Ads feature enables multi-touch attribution, showing the relative contribution of each ad tactic to sales rather than relying solely on last-click attribution.

For instance, by linking upper-funnel DSP activity to lower-funnel Sponsored Ads performance, advertisers can measure how display and streaming TV exposure drives downstream conversions, rather than treating these channels as siloed upper-funnel investments.

AMC further strengthens attribution by allowing custom lookback windows of up to 28 days, extending beyond the standard 14-day window to better capture longer purchase cycles and multi-step buyer journeys.

2. Behavioral Audience Segmentation & Targeting

Using AMC’s behavioral and ad exposure signals, advertisers can now structure segmentation around explicit buyer behavior rather than broad, Amazon-defined categories. Instead of relying on generic labels like "in-market," segmentation can be organized around:

• Lifecycle-based audience segments (recent purchasers, lapsed buyers, high-frequency buyers)

• Consideration depth (repeated PDP viewers or add-to-cart users)

• Exposure-based cohorts (users exposed to specific DSP or Sponsored formats within defined time windows)

• Acquisition vs Retention Segmentation (separating new-to-brand audiences from repeat customers)

3. Democratization of Advanced Audience Building

Traditionally, building custom audience segments required SQL expertise to create complex queries based on behavioral signals. With AMC, advertisers can now create highly targeted audiences without needing to manually write SQL code through two distinct capabilities:

AI-Powered SQL Generation (Beta): Through a unified, conversational interface, advertising managers can describe their desired audience in natural language, and AMC automatically translates it into executable SQL. AMC then explains the underlying logic, enabling faster and more accurate audience query generation.

No-Code High-Value Audience Builder (Beta): Through an intuitive, point-and-click interface, advertisers can assess audience value based on historical spend. The analysis can be further refined using parameters such as time frame, ASIN sets, and new-to-brand status, with outputs displayed in near real-time dashboards. Selected segments can then be converted into rule-based or lookalike audiences within the same workflow and automatically routed to Amazon DSP for activation.

4. Incrementality Measurement & Lift Testing

AMC uses randomized control trials to measure incremental sales impact, separating ad-driven conversions from organic purchases. This reveals true advertising effectiveness by comparing exposed and unexposed control groups.

Strategic impact: Provides accurate ROI measurement by quantifying incremental contribution rather than overstating impact through last-touch attribution.

5. Privacy-Compliant Analytics Infrastructure

AMC operates in a pseudonymized clean-room solution where customer data is anonymized, and all outputs are aggregated to meet minimum reporting thresholds. Despite privacy protections, it supports advanced analytics, including custom attribution windows, cohort analysis, and cross-channel modeling.

Strategic impact: Enables enterprise-scale performance analysis within a compliant framework for regulated markets, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

• Step-by-Step Guide: How to Integrate AMC for Better Amazon Ads Targeting

• Step 1: Set Up AMC Access

• Create or Access Your Amazon Ads Account: Ensure you have an active Amazon Ads account. If you don’t already have one, sign up for Amazon Ads.

• Request AMC Access: If AMC is not already enabled for your account, request access via your Amazon Ads representative. AMC is typically available to DSP-enabled accounts.

• Login to Amazon Ads Console: Once access is granted, log in to the Amazon Ads Console. Navigate to the Paid Features section under AMC.

Step 2: Import Data and Integrate the Sources

AMC is most effective when integrated with relevant data sources that provide valuable customer insights.

• Integrate CRM, Email Marketing, and Ad Systems: Upload data from your CRM tools, email marketing systems, and any other advertising platforms you use. This allows you to consolidate customer interactions across touchpoints.

• Import Historical Customer Data: Upload your historical sales data, audience interactions, and engagement records into AMC to build an accurate picture of your audience's behaviors.

• Sync Your Amazon DSP Data: Integrate your Amazon DSP data into AMC to build audience segments and enable multi-touch attribution across channels.

Step 3: Build and Segment Your Audience

• Use AI-Powered SQL Generation: Describe the audience you want in plain language (e.g., "show me users who abandoned their carts but didn’t purchase"). AMC will automatically translate this into executable SQL for precise segmentation.

• Leverage No-Code High-Value Audience Builder: If you prefer a no-code approach, use the high-value audience builder to create and refine audience segments based on behavioral signals such as purchase history, product engagement, or ad exposure.

Once your core audience is defined in AMC, you can leverage lookalike audiences to expand reach while maintaining targeting precision and alignment with high-value user behaviors.

Step 4: Activate Audiences Across Amazon Ads Formats

• Route Segments to Amazon DSP: Export AMC-created audiences directly to Amazon DSP for programmatic display and video targeting, ensuring segments are based on actual behavior.

• AMC for Sponsored Ads: Use AMC-generated audiences for Sponsored Products, Sponsored Brands, and Sponsored Display through bid modifiers based on audience data (no direct integration needed for these formats).

• Customize Campaigns: Focus campaigns on specific behaviors, such as cart abandonment, repeat buyers, or high-value users, and refine them based on real-time data.

Note: While AMC audiences can be used directly in Amazon DSP targeting, for other ad formats such as Sponsored Products, Sponsored Brands, and Sponsored Display, you typically use bid modifiers based on audience data. For example, you can adjust your bidding strategies based on AMC insights to prioritize high-value or high-intent segments without needing direct integration for these formats.

Step 5: Continuously Optimize Amazon Ads Using AMC Insights

• Monitor Audience Engagement: Regularly assess performance across audience segments across campaigns by tracking key metrics such as click-through rate (CTR) and return on ad spend (ROAS) to identify emerging trends and optimize targeting.

• Refine Targeting Based on Data Insights: Reallocate ad spend to higher-performing segments based on performance data. Leverage cross-channel exposure insights and multi-touch attribution models to enhance budget allocation and improve targeting efficiency.

Step 6: Leverage Cross-Channel Insights for Broader Marketing Optimization

Amazon Marketing Cloud (AMC) provides valuable insights that can be used across various marketing channels. By integrating AMC’s behavioral and transactional data into your email, social media, and offline campaigns, you can refine your targeting strategies and ensure consistent messaging, improving customer engagement and brand alignment across all touchpoints.

The Strategic Imperative: Effective optimization of Amazon Ads requires a blend of advanced analytical capabilities and the operational expertise to implement and manage complex strategies at scale. In-house teams, even with their internal expertise, may encounter resource constraints when handling the depth of data analysis, segmentation, and optimization required to maximize campaign effectiveness.

An Amazon PPC Advertising agency bridges this gap by providing the necessary infrastructure, specialized knowledge, and technical expertise to drive strategic success. With access to advanced tools such as Amazon Marketing Cloud (AMC), these agencies ensure that advertising efforts are backed by data-driven insights, robust performance tracking, and ongoing optimization. Partnering with an agency enables businesses to refine their targeting, improve return on ad spend (ROAS), and maintain a competitive edge, all while freeing up internal resources to focus on core operations.

Eliana Wilson is an experienced eCommerce consultant at Data4eCom, a leading outsourcing agency providing end-to-end eCommerce services, with a strong background in multi-channel selling, digital marketing, and product data management.