Amazon Advertising Reports Explained
Understanding your ad performance is crucial for optimizing Amazon advertising campaigns and driving sales on Amazon. Amazon Advertising Reports provide detailed insights into how your campaigns are performing, including impressions, clicks, conversions, and return on ad spend (ROAS). By analyzing these reports, sellers and advertisers can make data-driven decisions, refine their targeting strategies, and maximize the impact of their campaigns. Whether you’re running Sponsored Products, Sponsored Brands, or Sponsored Display ads, mastering these reports is key to unlocking better visibility and higher sales on Amazon.
What Are Amazon Advertising Reports?
Amazon advertising reports are detailed datasets available through the Amazon Ads console and API. They provide key performance metrics such as impressions, clicks, CPC, conversions, sales, and advanced insights like brand halo sales. By analyzing Amazon Advertising Reports, marketers can use data effectively to optimize bidding strategies, improve targeting, and maximize return on ad spend.
Amazon advertising reports include various metrics that allow advertisers to evaluate performance across awareness, consideration, and conversion stages. Advertisers can generate a variety of report types across Sponsored Products, Sponsored Brand ads, Sponsored Display, Sponsored TV, Amazon DSP, and Amazon Attribution. Amazon Advertising Reports provide detailed insights that help Amazon sellers and advertisers understand how their campaigns are performing.
Console Reports vs API Reports
A key distinction exists between console reports, downloadable CSVs generated manually, and API reports, which allow automated access to the same or richer data for large-scale analysis. These reports are often more accurate and comprehensive than real-time dashboards, giving advertisers a reliable source of truth for campaign performance.
Importance of Data Analysis
By analyzing these reports, marketers can link media metrics such as CTR and ROAS to actual product movement and sales, enabling data-driven decisions and more effective campaign optimization.
Why Amazon Advertising Reports Matter
Many reports reveal key data and show the effectiveness of the spend. These reports reveal which elements of your Amazon advertising campaigns are delivering the strongest results across ads, keywords, and placements.
Measure Campaign Performance
Reports reveal which ads, products, and keywords generate the best results, helping advertisers focus their budget effectively. Many reports show performance data like impressions and clicks, which are helpful for our campaign report.
Understand Audience Behavior
One of the most valuable aspects of Amazon advertising reports is the ability to understand how customers interact with your ads. Metrics like clicks, impressions, search terms, and conversion rates reveal important behavioral patterns.
Optimize ROAS
Return on Ad Spend (ROAS) is a critical metric for any Amazon advertiser, and reports play a key role in improving it. By linking media performance metrics directly with actual sales data, advertisers can see which campaigns are truly profitable.
Support Strategic Planning
Amazon Advertising Reports are not only useful for day-to-day optimization but also for long-term planning. They provide valuable historical data that helps advertisers understand how campaigns have performed over time.
Amazon Ads Reporting API: Overview
The Amazon Ads Reporting API lets developers programmatically request, generate, and download reports instead of pulling them manually from the console. The current API family includes endpoints for Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, and Amazon Attribution, with regular schema updates.
Core Workflow of the API
The core workflow involves authentication via OAuth2, creating a report request specifying report type, metrics, date range, and filters, polling the report’s status until complete, and downloading the result file, which is typically a compressed CSV.
Report Generation and Usage
Report generation may take seconds for short lookback windows or several minutes for longer spans with high data volume. Agencies, in-house analytics teams, and partners use this API for cross-account, multi-market reporting integrated into BI tools like Looker Studio, Power BI, and Tableau.
Key Types of Amazon Advertising Reports
Amazon offers a variety of report types to meet different analytical needs:
- Sponsored Products Reports and Purchased Product Reports: Track performance at the ASIN level, including sales, clicks, and conversions. These reports help advertisers understand which products drive actual purchases and how Sponsored Products campaigns contribute to overall product engagement and sales.
- Sponsored Brands Reports: Measure brand-level ad performance and assess how ads drive product discovery.
- Sponsored Display Reports: Evaluate targeting, impressions, and engagement for display ads.
- Sponsored TV Reports: Analyze video ad performance across streaming inventory.
- Amazon DSP Reports: Access insights for programmatic campaigns across Amazon’s audience network.
- Amazon Attribution Reports: Measure how non-Amazon marketing channels contribute to Amazon sales.
- Pricing transparency report: The Pricing Transparency Report provides visibility into how Amazon pricing, discounts, and competitive price changes affect ad performance and conversion behavior. This helps advertisers understand whether performance shifts are driven by demand, pricing strategy, or marketplace competition.
- Attributed Purchases Report: Provides detailed insights into purchases directly attributed to ad interactions, helping advertisers understand which campaigns, keywords, and products drive actual completed transactions rather than just clicks or engagement.
- Category Benchmark Report: It helps advertisers compare performance against category-level benchmarks, allowing them to evaluate how their campaigns perform relative to broader market standards within the same product category.
Each report type provides unique insights, but together they give a complete picture of advertising performance.
How to Use Amazon Advertising Reports Effectively
- Track Key Metrics: Monitor impressions, clicks, CTR, CPC, and ROAS across your Amazon PPC campaign to identify performance trends.
- Identify High-Performing Ads: Focus budget on ads and keywords driving the best results.
- Measure Brand Impact: Analyze brand halo and new-to-brand sales to understand the broader effect of campaigns.
- Refine Targeting: Use insights to optimize audience segments and campaign placements.
- Support Data-Driven Decisions: Combine historical report data with campaign goals to plan future strategies.
Search Term Report: Your Primary Optimization Lever
The Search Term Report lists exact customer queries that led to ad impressions and clicks, along with basic metrics like spend, sales, ACOS, and ROAS. This is your primary optimization lever for search term reports. Among the key reports, the Search Term Report is one of the most important optimization tools for advertisers.
Use this report to:
- Find high-converting search terms to add as exact match keywords
- Identify poor-performing queries to block as negative keywords
- Uncover meal-planning and ingredient combinations (e.g., “easy chicken pasta bake,” “gluten-free snack for kids”)
Via the Reporting API, request this at the keyword level with searchTerm as a dimension, typically running daily or weekly for rolling 60-day windows. For food and CPG brands, this report helps map the customer journey, showing how shoppers move from search intent to purchase decisions through real search behavior.
Targeting & Advertised Product Reports
The Targeting Report provides performance insights at both keyword and product-target levels, including ASINs and category-based targeting. It helps advertisers understand how individual targeting strategies contribute to overall campaign performance. The Advertised Product Report, on the other hand, summarizes key metrics for each promoted ASIN, giving a clear product-level performance view.
These reports are commonly used to:
- Adjust bids and reallocate budget toward high-converting keywords and product targets
- Reduce or pause underperforming targets, especially those with consistently high advertising costs relative to sales
- Identify which products (SKUs) deserve increased investment and which require optimization or reduced spend
When used at scale, these reports can be automated through reporting systems or APIs to monitor performance across multiple marketplaces. The data can also be consolidated into a unified performance or profitability model, helping manage advertising efficiency across an entire product portfolio.
Placement, Prompts, and Viewability-Oriented Reports
The Placement Report provides insights into how campaign performance varies across different ad placement types within the shopping experience. It helps advertisers understand where ads perform most effectively and how visibility impacts engagement and conversions.
Common placement types include:
- Top of Search (often associated with higher visibility and stronger performance)
- Product Detail Pages
- Rest of Search Results
These insights help guide placement-based bid strategies. Advertisers often adjust bids depending on placement value, increasing investment in higher-visibility positions when the goal is to improve reach, awareness, or conversion performance.
In addition to placement insights, modern advertising systems also provide visibility into how products are discovered through recommendation-driven and AI-assisted shopping experiences. These reports help advertisers understand how often products appear in suggestion-based environments and how that exposure contributes to engagement and sales.
For display and programmatic campaigns, viewability-focused metrics such as viewable impressions, video completion rates, and exposure quality play an important role. These indicators help advertisers evaluate whether ads are not only delivered but also actually seen and engaged with by users.
Together, these reporting layers support a more balanced approach to advertising strategy, combining awareness, visibility, and performance optimization to improve overall campaign effectiveness.
Accessing Amazon Advertising Reports via Console vs. API
Small advertisers can often rely on manual report downloads through the console, while agencies and larger CPG brands managing multiple accounts typically require API-based automation for efficiency and scale.
Console-Based Reporting
- Navigate to the “Measurement & Reporting” section
- Select the desired report type and date range (typically up to 90 days)
- Generate and download the report in CSV format once processing is complete
- Save files locally for analysis and record-keeping
API-Based Reporting
- Obtain Amazon Ads API credentials
- Build integration or use third-party tools
- Call reporting endpoints with JSON payloads
- Store compressed files in the data warehouse
The API advantages include daily automated pulls, archiving beyond 90-day limits, standardized naming across markets, and merging with off-Amazon channels. Gourmet Ads connects API outputs to cross-retailer dashboards, enabling food brands to see Amazon, Instacart, Walmart Connect, and open-web media in one view.
Reporting Latency, Windows, and Availability
When working with Amazon Advertising reports, it’s important to account for data limitations and timing:
- Most sponsored ads reports cover a 60–90 day report period window
- Data isn’t real-time, so expect 48-hour delays for some metrics
- View-through and Subscribe & Save metrics may finalize even later
- API rate limits (for example, requests per second) require batching and scheduling
To maintain accuracy, many teams schedule recurring API jobs that refresh recent data (such as the previous day or week) to capture delayed conversions. Storing raw report files in systems like cloud data warehouses helps preserve historical data beyond standard reporting limits.
Interpreting Key Metrics in Amazon Advertising Reports
Understanding what the numbers mean is more valuable than just collecting them. Here’s how to analyze customer behavior through your reports:
Core PPC Metrics (Healthy Ranges for Food/CPG)
These benchmarks reflect typical performance metrics seen in the food and CPG advertising space, helping advertisers evaluate campaign efficiency and effectiveness across key stages of the funnel.
Click-through rate (CTR) in this category generally ranges from 0.4% to 1.5%, indicating how often users engage with an ad after seeing it. This is a standard benchmark for awareness and interest generation in competitive consumer markets.
Cost per click (CPC) typically falls between $0.50 and $2.00, depending on targeting precision, competition, and ad placement. Lower CPCs usually reflect broader targeting, while higher CPCs are associated with more competitive or high-intent audiences.
Advertising cost of sales (ACOS) is usually maintained between 20% and 40%, representing the ratio of ad spend to attributed sales. A lower ACOS indicates stronger advertising efficiency and better return on investment.
Return on ad spend (ROAS) commonly ranges from 2.5x to 6x, meaning that for every dollar spent on advertising, brands can expect between $2.50 and $6 in revenue, depending on product category, pricing, and campaign optimization. In addition to performance metrics, advertisers also monitor gross and invalid traffic signals to ensure reporting accuracy and eliminate non-human or low-quality interactions from performance analysis.
Finally, conversion rates in this sector typically range from 5% to 15%, showing the percentage of clicks that lead to a purchase. Higher conversion rates are usually achieved through strong product relevance, optimized landing pages, and effective audience targeting.
There are some Amazon-specific metrics as well. New-to-brand orders, brand halo sales, Subscribe & Save signups for subscription trends, detail page views, and 12-month projected revenue for long-term value.
New-to-Brand, Brand Halo, and Long-Term Value
New-to-brand metrics show first-time customers acquired through your ad campaigns, useful for evaluating customer acquisition versus retargeting. A 20-30% new-to-brand rate is a healthy target for growth campaigns.
The brand halo effect in attribution reports reveals when external traffic to one ASIN results in Amazon sales of other SKUs, often 10-20% of total lift. Long-term sales metrics project 12-month value, especially relevant for CPG brands with repeat purchase cycles.
Example: A snack brand uses new-to-brand percentage and brand halo reports to justify upper-funnel video and CTV campaigns, proving they drive customer engagement beyond immediate conversions, ultimately leading to catalog-wide growth.
Reach, Frequency, and Viewability (DSP & Sponsored Display)
Amazon DSP and Sponsored Display reports provide visibility into reach and frequency, helping advertisers understand how many unique users are exposed to a campaign and how often they see it. These metrics are essential for managing audience saturation and ensuring efficient media delivery.
Viewability metrics indicate whether an ad had the opportunity to be seen, typically based on industry standards such as a minimum percentage of pixels in view for a defined duration. This helps advertisers assess the quality of impressions, not just the volume.
For food and grocery brands, frequency caps should be aligned with typical shopping cycles. While exact thresholds vary, managing exposure levels carefully helps maintain effectiveness without over-serving ads to the same audience.
Amazon Ads Reporting API Use Cases for Food & CPG Brands
While the Reporting API is technical, its strongest impact is on day-to-day decision-making. Here’s how food brands use it:
- Track ad category performance at ingredient or meal-occasion level (dinner kits, holiday baking, back-to-school snacks)
- Integrate Search Term Reports with contextual and recipe-level data to gain deeper insight into real cooking behaviors and meal intent.
- Pull Amazon reports alongside Instacart, Walmart Connect data for cross-retailer comparisons
- Optimize open-web campaigns toward Amazon outcomes using Amazon Attribution data
Automated Dashboards and Alerts
Use the Reporting API to feed daily dashboards showing:
- Ad spend and ACOS trends by brand and SKU
- New-to-brand percentage tracking
- Top performing search terms
- Impression share changes
Set automated alerts when ACOS exceeds targets, when hero SKUs lose impression share, or when invalid traffic spikes. For example, a beverage brand monitors weekly shifts in “sugar-free” and “zero calorie” search queries via automated reports, enabling informed decisions before wasted spend accumulates.
Best Practices for Working with the Amazon Ads Reporting API
Practical implementation tips for marketing and analytics leaders:
- Define a standard reporting schema across marketplaces before building API jobs
- Batch report requests per account and ad type to respect rate limits
- Implement robust error handling and logging for failed jobs
- Establish governance: who owns the integration, how credentials are managed, how teams share access
Avoiding Common Pitfalls and Data Discrepancies
Differences between Amazon Ads console reports and API outputs are common and usually stem from variations in how data is processed and presented. Understanding these differences helps avoid confusion during analysis and reporting.
Common causes of discrepancies include:
- Differences in attribution windows between console reports and API data
- Time zone mismatches, as API data is often returned in UTC
- Currency conversion variations across marketplaces
- Metrics available in the console that may not yet be exposed via the API
To maintain accuracy, reconcile data regularly by comparing high-level totals across sources. It’s also important to review Amazon Ads API release notes, as updates to fields or schemas can impact reporting consistency and require adjustments to data pipelines.
How Gourmet Ads Uses Amazon Reporting for Shopper Marketing
Gourmet Ads specializes in food and grocery advertising, using Amazon advertising reports as one of several inputs to optimize shopper marketing campaigns. We combine Search Term and Advertised Product reports with contextual and recipe-level data to understand what people cook, not just what they click.
By aligning open-web campaigns (display, video, CTV, native, audio) with Amazon sales outcomes via Amazon Attribution and brand halo data, we help food and beverage brands grow sales both on Amazon and in supermarkets. Our approach complements retail media networks rather than competing with them, giving you a significant edge in understanding advertising performance across channels.
Ready to connect your Amazon Ads data with broader retail media strategies? Work with Gourmet Ads to build unified dashboards that drive product sales.
