The Ultimate Guide to Simplifying Amazon Analytics for Sellers & Agencies
Author:
Neha Bhuchar
Last Updated:
Feb 12, 2026
Category:
Published on:
Table of Contents
Understanding Amazon analytics is crucial for succeeding in the competitive Amazon marketplace. It's like having a map to guide you through the e-commerce jungle.
However, reading Amazon brand analytics on Amazon seller and vendor central dashboards is complex as Amazon provides reports in siloes.
In this post, we will show you how to simplify Amazon analytics for sellers and use the insights to move your business in the right direction. Beside sellers, this post is equally important for agencies that manage multiple accounts simultaneously, as it will make decoding Amazon reports easier.
Here’s what the blog has in store:
Section 1: Understanding Amazon Analytics and Its Importance
Section 2: Understanding the Important Aspects of Amazon Analytics
Section 3: How atom11 Helps Simplify Amazon Analytics?
Let's get started.
What Is Amazon Analytics and Why Is It Important?
Amazon analytics refers to data aggregation of advertising, vendor/seller central, and digital shelf in one place. It helps sellers and agencies understand and optimize performance at an ASIN and overall level.
Amazon analytics is important for sellers and vendors because:
It allows sellers to track Amazon sales vs. ad spend, ad performance, inventory levels, bestseller ranks, AOV, and TACoS. Hence, sellers can optimize their strategies and allocate their budgets more efficiently.
It helps sellers analyze and optimize inventory levels to prevent stockouts and reduce overall inventory costs.
It allows sellers to monitor competitors' performance, pricing strategies, customer reviews, and identify opportunities for targeted campaigns and promotions.
Sellers can gain insights into customer behavior, repeat purchases, specific keywords they use, and other keyword data to improve marketing strategies and optimize product listings.
Top 4 Insights About Amazon Analytics
1. Insights on Ad Performance
Pay-per-click (PPC) advertising is a cornerstone of Amazon's marketing strategy. It allows sellers to bid on keywords and place targeted ads. PPC analytics zooms out and shows an advertiser's ad spend profile. This is a great way to learn about areas of opportunity for improving ACoS.
The Ad Spend profile in the Amazon Analytics tool includes the following:
Spend and performance on ASIN bands
Spend and performance on campaign types
Spending and performance on placement types
Spend and performance on keyword types
2. Combining Ads and Retail Data
PPC analytics combines ad spend and total sales and shows a trend line between the two. Tools like atom11 let sellers and agencies evaluate this data at an overall level, at an ASIN level, or at a group of ASINs level.
For example, atom11 combines:
AOV data with total sales and bestseller ranks
Inventory data with ad performance and total sales
Ad spend with net profit data
TACoS with ad spend and total sales
It also offers Digital Shelf to help understand competitor pricing and seller ranks.
3. Analyzing Product Performance Metrics
Monitoring product performance and sales metrics is crucial for evaluating the success of your offerings on Amazon. Metrics such as sales velocity, conversion rate, and product reviews provide invaluable insights into product demand, competitiveness, and customer satisfaction. By analyzing these metrics, sellers can refine their product strategies and enhance profit margins.
4. Optimizing Inventory Management with Predictive Analytics
Effective inventory management is a balancing act between supply and demand. Simply listing the products online without checking their level of popularity might directly and unnecessarily impact your inventory costs.
Predictive analytics tools leverage historical data and market trends to forecast demand, optimize inventory levels, and prevent stockouts or overstocking. Understanding inventory analytics can also help you take proactive advertising actions and prevent out-of-stock situations. You can read our blog on best amazon inventory management software.
How Can atom11 Simplify Amazon Analytics?
Atom11 simplifies Amazon analytics by consolidating retail and ad data into a single dashboard to analyze trends and ad spend. It automatically diagnoses the root cause of sales fluctuations and sends proactive alerts for critical issues like stock shortages, category changes, and competitor pricing, telling you exactly what to focus on without manual data aggregation. Here are six ways atom11 puts you in control:
PPC Ad Spend Profile
One of the best ways to find opportunities for Amazon Ad optimization is with our Zoomout strategy. This strategy lets you take a step back, analyze how you spend money, and positively impact your net margin.
With atom11, you can find your spend profile by ASIN band, campaign type, or placement type.
Sales Trend Dashboard for Time Series Analytics
With atom11, you can combine retail signals, ads, and digital shelves in one dashboard. This helps you analyze sales trends on a daily, weekly, or monthly level. You can choose which ASINs you want to analyze and do it in a single click without having to download multiple reports.
Root Cause Analytics
While comparing two different time periods for analytics, atom11 provides a root cause analyzer, which tells you what could have caused sales fluctuations between the two periods.
For example, in the image below, the orders in red mean ASINs that lost sales.
Anything that is reduced in absolute value is denoted as red, and anything that increases in absolute value is denoted in green. In this case, you can see ASINs that lost orders compared to a previous period.
Next to orders, there are parameters that impact orders, such as Ad spend, ad performance, Average Order Value (AOV), organic page views, in-stock percentage, etc. With a simple view, the root cause analyzer tells you which parameters increased/decreased, impacting lost orders.
Digital Shelf
Track your organic and sponsored keyword rank on page 1 with atom11’s digital shelf dashboard. You can use this data for tracking purposes and automating your search rank vs. account bids.
Power BI/ Looker Integrations
Everyone has their own way of looking at data. That’s why Power BI and Looker integrations come in handy. With atom11, we can set up your Looker integrations in seconds and display data the way you want. This also helps automate reporting for some agencies, as they can set up reports on refreshable Google Sheets.
Alerts
Data analysis is a mitigative activity. Sellers/agencies must aggregate data from multiple reports to find reasons for sales fluctuations. But what if there were alerts to tell you exactly what to analyze? With atom11, you can set up alerts for almost anything.
Here are a few examples:
Sales Fluctuation Alerts: Find which ASINs gained/lost sales. This daily report is emailed to you every morning, telling you exactly which ASINs to focus on and determining reasons for growth/decline.
Category Change Alerts: Amazon is known to make inadvertent changes to product subcategories. This leads to a decline in organic sales and a drop in ad performance and search ranks. However, sub-category changes are hard to spot, especially if you have many ASINs. With category change alerts, you can get a daily report on any inadvertent changes on your ASIN noding/sub-cats daily.
Stock Alert: You can set up stock alerts if ASIN DOH or the number of units falls below a specific threshold.
Buy Box Alerts: If you have a digital shelf subscription with atom11, you can also set up alerts about lost buy-box.
Competitor Pricing Alerts: If you track competitors with atom11, you can receive alerts when they change pricing.
Conclusion
At atom 11, we believe that continuous optimization is the key to sustainable success on Amazon. Whether refining PPC campaigns, updating product listings, or adapting to market trends, ongoing optimization is critical for staying ahead.
By embracing a data-driven approach, sellers can iterate, refine, and grow their Amazon business over time. This also involves thorough brand-specific optimization. It always pays to stay informed about how you should plan your marketing efforts based on your niche, competitors, and market demand. This level of thorough optimization almost always pays off through increased sales, visibility, and market share.
atom11 helps you save time downloading and analyzing multiple reports. For the first time ever, you can combine retail data with advertising and run more efficient ads. Everything from thorough data analytics, providing valuable insights into the root causes of sales fluctuations in real time, competitor analysis, to optimizing and automating ads, and helping with effective product listing, atom 11 has got you covered! You can book a demo to learn more.
FAQs
What is Amazon analytics used for?
Amazon analytics is used to track and interpret key performance data such as sales revenue, traffic (sessions), conversion rates, and advertising efficiency. Sellers use these insights to make data-driven decisions that optimize product listings for better SEO, manage inventory levels to prevent stockouts, fine-tune PPC campaigns for profitability, and understand customer purchasing behavior to launch new products successfully.
Are third-party Amazon analytics tools better than Seller Central reports?
Yes, third-party tools are generally better because they overcome the significant data lags and reporting silos found in Seller Central. While Amazon's native reports are often delayed by up to 48 hours and separate advertising data from operational metrics, atom11 solves this by providing a unified, retail-aware dashboard. It integrates real-time inventory, pricing, and organic ranking data directly with your ad performance, allowing you to see your true profitability (TACoS) and make faster, more accurate decisions than is possible with Seller Central alone.
Does Amazon provide built-in analytics tools for sellers?
Yes, Amazon provides several built-in analytics tools, most notably Business Reports for sales and traffic data, Brand Analytics (for brand-registered sellers) which offers insights into search terms and customer demographics, and the Advertising Console for campaign performance. While these tools are free and essential, they often require manual downloading and combining of reports to get a complete picture of business health.
How accurate is Amazon sales and traffic analytics?
Amazon's native sales and traffic analytics are generally reliable but not perfectly real-time or absolute; business reports often have a 24-48 hour lag and may use sampling for high-traffic data, meaning numbers are estimates rather than exact counts. Additionally, advertising attribution windows (14-day lag for Sponsored Products) can cause data to change retroactively, making "today's" reported sales figures subject to updates over the following weeks.
How can Amazon analytics improve PPC performance?
Amazon analytics improves PPC performance by revealing which keywords and products are driving profitable sales versus wasting budget. By analyzing metrics like Click-Through Rate (CTR) and Conversion Rate (CVR), sellers can bid more aggressively on high-performing targets and negate low-performing ones. Advanced analytics also allow for dayparting—optimizing bids based on the specific hours of the day when conversion rates are highest—to maximize budget efficiency.
How do Amazon sellers use analytics to increase sales?
Sellers use analytics to increase sales by identifying high-traffic but low-converting listings and optimizing their images or copy, and by discovering high-volume search terms to target in PPC campaigns. They also use inventory analytics to forecast demand, ensuring they stay in stock during peak seasons, and use competitor benchmarking data to adjust pricing strategies to win the Buy Box more frequently.
How often should you analyze Amazon performance data?
You should analyze high-level performance data like sales and ACoS daily to catch immediate issues like dropped listings or runaway ad spend. Deeper strategic analysis, such as reviewing keyword ranking trends, inventory health, and profitability by SKU, should typically be done weekly. Comprehensive audits of long-term trends and market share are best conducted on a monthly or quarterly basis.
What data can you track using Amazon analytics?
Using Amazon analytics, you can track a wide range of data including Sales and Revenue (ordered product sales, units sold), Traffic (sessions, page views), Conversion (unit session percentage), Advertising Metrics (spend, ACoS, ROAS, impressions), Inventory Health (sell-through rate, days of supply), and Customer Experience metrics (return rates, seller feedback, and order defect rate).
What is the difference between Amazon analytics and Amazon reports?
Amazon Reports are the raw, static data files (often CSVs) that you download from Seller Central, which contain detailed but unorganized rows of information. Amazon Analytics refers to the visual dashboards (like the Sales Dashboard) that interpret this data into graphs and trends. Essentially, reports are the "raw ingredients" that you must manually process, while analytics are the "finished meal" that provides immediate visual insights.
Which Amazon analytics metrics matter the most?
The metrics that matter most depend on your goals, but for profitability, TACoS (Total Advertising Cost of Sales) is critical as it measures total ad spend relative to total revenue. For growth, Sales Velocity and Conversion Rate are paramount. In advertising, ROAS (Return on Ad Spend) and ACoS are the standard benchmarks, while Inventory Performance Index (IPI) is crucial for operational health and storage limits.
