This guide helps you understand all available metrics across Retail Intelligence and Cross-Retail IQ, organized by category for easy reference.
Amazon IQ |
Cross-Retail IQ |
| Deep dive into Amazon performance with detailed sales, visibility, competitive, demographic and trend metrics | Brand benchmarking, retailer comparison, cross-retail keyword performance, and marketing mix analysis across multiple retailers |
Looking for Cross-Retail IQ metrics?
Cross-Retail IQ has its own dedicated metrics section directly below. If you are working in Cross-Retail IQ, the multi-retailer benchmarking module, scroll down or jump to Cross-Retail IQ Metrics for definitions that apply to that product. The Amazon IQ metrics above apply to Amazon only and use different data scopes and calculation methods.
Because Cross-Retail IQ is organized around predefined category and retailer lists, working with your account manager ensures you’re set up with the right scope from day one - so you’re not missing coverage that matters to you.
Amazon IQ Metrics
Sales Performance Metrics
Use these metrics to track your brand's sales performance, pricing trends, and conversion rates on Amazon.
| Metric | Definition | Key Insights |
| Revenue | Total revenue generated in the selected category, domain, and time frame | Monitor your total sales value and track it over time |
| Units Sold | Number of units sold in the selected domain, category, and time frame | Understand sales volume independent of pricing |
| Revenue Share | Your brand's percentage of total category sales value (revenue) | Higher share = stronger market dominance. Compare against competitors to assess market position |
| Units Sold Share | Your brand's percentage of total category units sold | Highlights sales volume strength regardless of price positioning |
| Average Selling Price | Total revenue divided by units sold for the selected marketplace and time frame | Track pricing trends and compare to category averages |
| Product Views | Number of unique product views in the selected domain, category, and time frame. Note: multiple views of the same product by one user within a 30-minute session count as 1 view | Measure customer interest and product discovery |
| Conversion Rate (CVR) | Units sold divided by product views in the selected domain, category, and time frame | Higher CVR indicates effective product listings and strong purchase intent |
| Top Brands | Top-grossing brands in the selected domain, category, and time frame | Identify your main competitors and market leaders |
Product Visibility and Engagement Metrics
Use these metrics to understand how discoverable and engaging your products are to shoppers.
| Metric | Definition | Key Insights |
| Average Rating | Product star rating from 0 to 5 stars as provided on Amazon | Monitor product quality perception |
| Reviews | Total number of reviews per product | More reviews typically means higher trust and conversion |
| Badges | Amazon-awarded badges (for example, '#4 Best Seller in Clothing, Shoes and Jewelry') | Indicates Amazon's recognition of product performance |
| Total Views Share | Your brand's share of product views in the selected categories, averaged over the time frame | Higher share means better visibility. Compare this to revenue share to identify conversion opportunities |
| Search Visibility | Your brand's share of appearances on the first two pages of search results | Critical metric: most shoppers do not scroll past page 2 |
| Page One Rate | Ratio of product appearances on page 1 of search results divided by total searches performed on your keyword list | Target 80% or above for your most important keywords |
Keyword & Search Metrics
Use these metrics to optimize your keyword strategy and understand search behavior driving traffic to your products.
| Metric | Definition | Key Insights |
| Keyword Clicks | Number of unique clicks on products for the searched keyword within the selected category, domain, and time frame. Note: multiple clicks on the same product within a 30-minute session count as 1 click | Measure how much search demand a keyword is driving to products. |
| Product Clicks | Paid and organic product clicks resulting from search in the selected category, domain, and time frame, trended over time | Track total click volume from search |
| Clicks by Position | Distribution of clicks across the top 10 organic and paid search results | Position 1 typically captures 30 to 40% of clicks. Use this to prioritize ranking improvements |
| Total Clicks | Your brand's share of all category clicks (organic and paid) | Overall search performance indicator |
| Search Volume | Total number of searches for a keyword within the specified time frame | Identify high-demand keywords worth targeting |
| Click Share | Percentage of total clicks attributed to the keyword compared to all keywords in your list | Prioritize keywords with high click share |
| Branded Search Volume | Your brand's share of category search volume for branded keywords | Strong brands have 60% or more branded search share. Indicates brand awareness and demand |
| Top Brand Share | Percentage of clicks captured by the leading brand for a specific keyword | Assess competitive intensity on key terms. |
Organic vs. Paid Performance Metrics
Use these metrics to optimize your retail media investment and organic search strategy.
| Metric | Definition | Key Insights |
| Organic vs. Paid Clicks | Distribution of organic clicks and paid clicks for the selected keyword over the specified time frame | Balance your organic and paid strategies |
| Paid Clicks Share | Your share of paid retail media clicks within the category that lead to your products | Higher share = more effective retail media campaigns |
| Organic Rank | Average organic rank of the selected product for the selected keyword, excluding SERP features | Target the top 5 positions for maximum visibility |
| Paid Split | Percentage of paid clicks for the selected keyword within the selected domain and time frame | Understand competitive paid intensity |
| All Traffic | Organic and paid search clicks to product pages in the selected time frame | Total search-driven traffic |
| Share Over Time | Trend of your brand share over the selected timeframe, showing peaks and declines | Identify seasonality and campaign impact |
Brand Marketing Channel Metrics
Use these metrics to understand how shoppers discover your products across different traffic sources.
| Metric | Definition | Key Insights |
| Marketing Mix - Internal vs. External | Distribution of traffic to your brand's product pages from all channels. Internal means traffic from Amazon pages; External means traffic from non-Amazon domains | Understand your traffic dependencies |
| Total Clicks | Total traffic to your brand's product pages from all channels in the selected category, domain, and time frame, trended over time | Monitor overall traffic health |
| Direct Traffic | Traffic from users directly entering a product page, using bookmarks, saved links, or apps | Indicates brand loyalty and awareness |
| Search Traffic | Traffic from Amazon's on-site search results pages | Primary discovery channel for most products |
| External Traffic | Traffic from non-Amazon domains (Google, Bing, social media, etc.) | Measures external marketing effectiveness |
| Email Traffic | Traffic from users who clicked links in emails, usually from email campaigns | Track email campaign performance |
| Social Traffic | Traffic from social media sites (Facebook, Reddit, Instagram, etc.) | Measure social media impact |
| OSS Traffic | Traffic specifically from Amazon's on-site search results pages | Typically 60 to 80% of total traffic for most brands |
| Product Page Traffic | Traffic from other product pages, for example via 'Similar products' or sponsored product placements | Indicates cross-selling and recommendation impact |
| Other Traffic | Traffic from Amazon pages that are not product pages, SERP, or brand stores. Includes curated lists, wishlists, and homepage | Supplementary discovery channels |
| Display Traffic | Traffic from non-Amazon domains through display ad networks | External advertising effectiveness |
| Brand Store Traffic | Traffic directly from your Amazon Brand Store | Brand Store engagement metric |
| Referral Traffic | Traffic from affiliates, links, content partners, and direct media buying or news coverage | PR and partnership effectiveness |
| Internal Clicks - Organic vs. Paid | Distribution of paid and organic clicks on internal traffic to your brand's product pages from all channels | Optimize your Amazon advertising spend |
| Most Changed Channels | Traffic channels with the largest change based on the selected domain, brand, category, time frame, and change rate method | Identify trending traffic sources |
Competitive Intelligence Metrics
Use these metrics to benchmark against competitors and identify market opportunities.
| Metric | Definition | Key Insights |
| Brand Affinity | Affinity score based on the frequency of users viewing products from both your brand and a competitor brand within the same month | Higher affinity means more direct competition. Prioritize monitoring high-affinity competitors |
| Competitive Average Brand Share | Average share of your selected competitors, providing a benchmark to compare with your brand's share | Set realistic share growth targets |
| Keyword Competitors | Clicks competitors gained by targeting your branded keywords, including weekly changes | Defend your branded terms from competitors |
| Retail Overlap | Average percentage of visitors to your brand who also visited a competitor's products within the same day | Identify shoppers switching between brands |
Basket & Cross-Shopping Metrics
Use these metrics to understand purchase patterns and identify cross-sell opportunities.
| Metric | Definition | Key Insights |
| Basket Mix | Brands purchased in the same transaction as your brand within the selected time frame | Identify complementary brands and partnership opportunities |
| Basket Distribution | Percentage of baskets that included your brand only, 2 brands, 3 brands, or 4 or more brands | A high 'brand only' percentage indicates strong brand loyalty |
| Retail Category Overlap | Percentage of overlapping audience between Amazon and specific categories across Walmart, Target, and Best Buy | Understand cross-retailer shopping behavior |
Demographics Metrics
Use these metrics to understand your customer profile and tailor marketing strategies.
| Metric | Definition | Use Case |
| Age Distribution | Age distribution of online shoppers based on product views for the selected domain, brand, and time frame. | Target marketing by age group |
| Gender Distribution | Gender distribution of online shoppers based on product views. | Tailor messaging by gender |
| Household Income | Online shoppers' household income distribution based on product views. | Price positioning and promotional strategies |
| Household Size | Household size distribution of online shoppers based on product views | Package sizing and bulk offerings |
| Education Level | Distribution of online shoppers' education levels based on product views | Messaging complexity and tone |
| Employment Status | Employment status distribution of online shoppers based on product views | Timing and promotional strategies |
Trend & Change Metrics
Use these metrics to track performance changes and identify trends over time.
| Metric | Definition | How to Use |
| Revenue Change | Change in revenue between the selected time frame and the reference period | Set as YoY, MoM, or custom comparison |
| Units Sold Change | Change in units sold between the selected time frame and the chosen reference period | Track volume trends independent of price changes |
| Conversion Rate Change | Percentage change in CVR between the selected time frame and the chosen reference period | Identify listing optimization impact |
| Views Change | Change in product views between the selected time frame and the chosen reference period | Measure visibility improvements |
| Category Trend | Category trend between the first and last selected dates, representing a growing or declining category | Understand the market context for your performance |
| Share Trend | Share trend based on actual sales data as a percentage of total estimated category sales. Change reflects the difference between the first and last selected dates | Track market share gains and losses over time |
Product-Level Metrics
Use these metrics to analyze individual product performance.
| Metric | Definition | Notes |
| Product Rating | Product star rating as of the latest update. | Monitor for review impacts |
| Product Reviews | Number of product reviews as of the end of the previous month | Track review velocity |
| Average Unit Price | Average listing price of the product in the selected domain, category, and time frame | Monitor competitive pricing |
| Product Relevancy | Percentage of selected products that rank for a keyword divided by all selected products. Filter to 70% or above to analyze keywords relevant to most of your products | Identify keyword gaps |
Cross-Retail IQ Metrics
Cross-Retail IQ gives you a unified view of how your brand performs across multiple retailers like Amazon, Walmart, Target, and more. The metrics below cover brand benchmarking, retailer comparison, and keyword performance across your chosen retailer set.
Important: data scope. All Cross-Retail IQ metrics are based on Desktop and Mobile Web traffic only. Visits and purchases made through a retailer's mobile app are not included. If you need Amazon app traffic, switch to Amazon IQ using the module selector in the platform.
Brand Performance & Benchmarking
Use these metrics to understand how your brand is performing across multiple retailers and where your biggest growth opportunities are.
| Metric | Definition | Key Insights |
| Product (SKU) Views | The number of times shoppers visited the product detail page for a specific product (SKU), counted across Desktop and Mobile Web. This metric is available for one retailer at a time and cannot be combined across retailers |
Use this to track how much shopper interest a specific product is getting at a specific retailer. If views are low, the product may have a visibility or discoverability problem. |
| Brand Views | The total number of product detail page visits across all of your brand's products at one retailer, or across multiple retailers combined. Only Desktop and Mobile Web visits are counted |
Use this to measure overall shopper engagement with your brand. When comparing across retailers, keep the same retailer set each time, as adding or removing a retailer will change the total |
| Category Views | The total number of product detail page visits across all brands in your chosen category. Available for a single retailer or across multiple retailers |
This represents the total size of shopper demand in your category. It is used as the denominator in share calculations, so always make sure your retailer scope matches when comparing figures |
| Brand Views Share | Your Brand Views divided by total Category Views, expressed as a percentage. Both figures must cover the same retailer scope to be meaningful |
Think of this as your brand's slice of the category. A rising share in a growing category is the strongest positive signal. A rising share in a flat or shrinking category tells a different story |
| Retailer Share | A retailer's total category views divided by the combined category views across all retailers in your current analysis. This is not a share of all retailers globally, only of the set you have selected |
Useful for prioritizing which retailers matter most in your category. Keep in mind: if you add or remove retailers from your selection, every retailer's share figure will change. Always use the same retailer set when making comparisons over time |
| Brand's Top KPIs | A summary of your brand's View Share and Click Share within your selected category, across all selected retailers. Includes all sellers carrying your brand, not just your direct listings |
Use this as a quick health check across retailers. If View Share and Click Share are very different from each other, it may indicate a gap between how visible your brand is and how often shoppers are actually clicking through |
| My Brand Opportunities Matrix | A chart that plots each retailer by how much shopper demand exists in your category (the size of the opportunity) against how strong your brand's current position is at that retailer |
Retailers in the top-right of the chart are your highest-priority targets: lots of shopper demand, but your brand is currently underrepresented. Use this before making budget or resource decisions |
| Competitive Brands Landscape | A view showing total category views for each brand in your selected category, alongside year-over-year growth |
Use this to see who is growing, who is stagnant, and where your brand sits relative to competitors. Fast-growing smaller brands are often more important to track than large established ones with flat growth |
Retailer Performance
Use these metrics to identify which retailers offer the strongest opportunities for your brand.
| Metric | Definition | Key Insights |
| Retailer Market Share | Each retailer's share of total category views, measured within your selected retailer set. Represents the size of the market opportunity for each retailer, how large the category opportunity is at each retailer relative to the others you have selected |
Use this to prioritize retailers. A large share today does not always mean the best opportunity, check the growth trend alongside the share figure. |
| Top Retail Partners | The four retailers in your category with the highest total view share across your selected brands |
A quick snapshot of which retailers dominate your category. Use as a starting point for retailer prioritization, not as a complete picture |
| Retailers Landscape (YoY) | Year-over-year growth percentage for each retailer, grouped into strategic segments: Growth Leaders, Established Players, Emerging Stars, Niche Players, Underperformers, and Declining Giants |
Target Growth Leaders and Emerging Stars for expansion. Declining Giants may still have large absolute traffic today, but represent a shrinking opportunity over time |
Cross-Retail Keyword Analysis
Use these metrics to understand what shoppers are searching for across retailers and how well your brand captures that demand
What is on-site search? On-site search (OSS) refers to shoppers typing a search query into the search bar on a retailer's website (for example, searching for 'running shoes' on Walmart.com). The clicks and share metrics in this section are all based on this behavior.
| Metric | Definition | Key Insights |
| Category Clicks | The total number of on-site search clicks driving shoppers to product detail pages within your category, across your selected retailers and brands |
This represents total search-driven demand in your category. Use it as the denominator when calculating keyword share, and make sure your retailer scope is consistent |
| Brand Clicks | The total number of on-site search clicks that brought shoppers to your brand's product pages, within your selected category and retailer set |
Your absolute search visibility across retailers. Compare this to Category Clicks to understand what share of search-driven traffic your brand is capturing |
| Brand Clicks Share | Your Brand Clicks divided by total Category Clicks, expressed as a percentage. Available for a single retailer or across multiple retailers |
Use this to track how much of the search-driven traffic in your category is going to your brand. Compare across retailers to find where you are winning and where you are underrepresented |
| Product Clicks | All on-site search clicks that drove shoppers to the product detail page of a specific SKU. Available at the individual retailer level only, and cannot be combined across retailers | Use this to identify which specific products are capturing search demand and which are effectively invisible in search |
| Keyword Performance | The total number of on-site search clicks generated by a specific keyword across all brands and your selected retailers |
Use this to identify which search terms are driving the most traffic across the retail ecosystem. High-performing keywords are worth tracking closely for share shifts |
| Keyword YoY Change | The year-over-year percentage change in total clicks for a keyword |
Use this to spot keywords gaining or losing momentum. A fast-growing keyword signals rising shopper interest. A declining keyword may mean shifting behavior or a shrinking category |
| My Brand Clicks (Keyword) | The total on-site search clicks driven to your brand's products for a specific keyword, across your selected retailers |
Shows how much search traffic a given keyword sends to your brand. Compare the top brand performance to find gaps where competitors are capturing demand you are not |
| My Brand Share (Keyword) | Your brand's percentage of total clicks for a specific keyword across your selected retailers |
A low share on a high-volume keyword is an opportunity. Filtering for keywords where your share is below 20% is a good way to surface your biggest gaps |
| Top Brand | The brand capturing the highest share of clicks for a given keyword |
Helps you understand who owns each keyword in your category. Benchmark your performance against the leader to assess how competitive a term is |
| Top Brand Share | The percentage of total keyword clicks captured by the leading brand for that keyword |
A top brand share above 60% indicates a dominant keyword. Before investing in those terms, assess whether competing is realistic given your current position |
Keyword Opportunity Matrix
Use these metrics to prioritize the keywords with the best growth potential for your brand.
| Metric | Definition | How to Use |
| Keyword Opportunity Matrix | A scatter plot showing keywords by total clicks (horizontal axis) and year-over-year growth (vertical axis). The size of each bubble represents your brand's current click share for that keyword |
Focus on the top-right quadrant: keywords with high volume and high growth where your brand's bubble is small. These are the terms with the most untapped potential |
| Keyword YoY Growth | The year-over-year percentage change in total clicks for a keyword |
Use alongside total click volume. A fast-growing keyword with lower absolute volume today can still be a higher-priority opportunity than a large flat keyword |
| Brand Names | All brand name variants associated with your brand (for example, 'Bravia' is a brand name used by Sony for TVs) |
Use this to track how your branded search terms compare to non-branded terms. High branded search share means shoppers already know you. Strong non-branded share means you are capturing shoppers who are still deciding |
| Total Clicks | The total number of clicks a keyword generates across all brands in your selected retailer set and time frame |
Use this to understand the absolute size of the opportunity. Prioritize keywords with high total clicks to maximize the impact of visibility improvements |
Competitor Keyword Benchmarking
Use these metrics to see which keywords are driving competitor growth and where you are falling behind.
| Metric | Definition | Key Insights |
| Competitor Keyword Benchmarking | A heatmap showing how each brand performs on each keyword. Keywords are ranked by total clicks and colored by year-over-year change (green for growing, red for declining) | Use this to quickly spot which keywords competitors are dominating and which terms you are absent from entirely |
| Keyword Clicks | The total number of clicks a keyword receives across all brands | Use to gauge absolute demand for a keyword before deciding whether to prioritize it |
| My Brand Clicks | The total number of clicks your brand receives for a specific keyword |
Your raw performance on each keyword. Divide by Keyword Clicks to get your share |
| My Brand Share (%) | Your brand's percentage of total keyword clicks, from 0 to 100% | Filtering for keywords where your share is below 20% is a practical way to find your biggest growth opportunities |
| Top Keywords | The full keyword list ranked by total clicks from highest to lowest | Use to discover high-volume terms your brand may not currently be targeting |
| Fastest Growing Keywords | The full keyword list ranked by year-over-year click growth from highest to lowest | Use to identify emerging terms before competition on them intensifies |
Important Notes & Clarifications
Data Freshness
- Retail Intelligence (Amazon IQ): Updates weekly and monthly, with a 9-day lag.
- Cross-Retail IQ: Updates weekly, with a 9-day lag.
Session Definitions
- 30-minute rule: Multiple views or clicks on the same product by one user within 30 minutes count as ONE view or click. This prevents inflated metrics from users refreshing pages or navigating back and forth.
Comparison Periods
You can compare performance across three reference periods:
- YoY (Year-over-Year): Compares your selected period to the same period one year prior. Useful for accounting for seasonality.
- MoM (Month-over-Month): Compares your selected period to the previous month. Useful for tracking short-term momentum.
- Custom: Select any time period to compare, either period-over-period (for example, Q1 vs Q2) or year-over-year.
Share Metrics Explained
All share metrics follow the same formula:
Your metric divided by the total category metric, multiplied by 100.
Example If your brand receives 1,000 clicks and the total category has 10,000 clicks, your Brand Clicks Share is 10%. Important for Cross-Retail IQ: when the metric is scoped to a retailer set (not all retailers globally), the denominator only includes retailers in your current selection. Always keep your retailer set consistent when comparing share figures across time periods or reports.
Understanding Organic vs. Paid
- Organic: Unpaid search results and product placements. These appear based on relevance, ratings, and search algorithms.
- Paid: Sponsored products, sponsored brands, and sponsored display ads. These appear because a brand has bid on placement.
- OSS (On-Site Search): The search function within a retailer's own website. Includes both organic and paid results. On-site search is typically the primary discovery channel for most product categories.
Retail Weeks
Cross-Retail IQ data is organized by retail weeks, which run Sunday to Saturday. When you select a date range, the platform automatically adjusts your start date to the nearest preceding Sunday and your end date to the nearest following Saturday.
This means your actual data window may be slightly wider than the dates you entered. Always check the date range shown in the platform after applying your selection to confirm what period you are viewing.
Running YoY comparisons correctly
For brand and category views, year-over-year comparison is straightforward: the platform compares your selected period to the same period one year earlier.
For keywords and SKUs, year-over-year comparisons need a bit more care:
- A keyword or SKU has no YoY figure - This means it did not exist in the prior-year period. This is expected, not a data gap. Treat it as a new entrant with no prior year to compare against.
- You changed a filter and YoY figures changed - YoY change in keyword and SKU tables is calculated based on your filtered results, not the full unfiltered category. Changing your filter will change the YoY figures you see.
- A recently launched product has no YoY - SKU-level YoY only includes products present in both the current and prior-year periods. Products launched within the past year will not have a YoY figure.
Filtering on-site search data by retailer
The keyword table in Cross-Retail IQ can be scoped to a specific retailer, but this must be done through the main report filters, not within the keyword table itself.
To see keyword data for a single retailer (for example, Walmart only): apply the retailer filter at the report level using the Filters button at the top of the page. Important notes: applying a retailer filter at the report level will also filter all other views in the report, not just the keyword table. The ability to filter the keyword table by retailer without affecting the rest of the report is not currently available.
Data Scope: Desktop and Mobile Web Only
All Cross-Retail IQ metrics are based on Desktop and Mobile Web traffic. Visits and purchases made through a retailer's mobile app are not included.
| Cross-Retail IQ | Amazon IQ | |
| Desktop | Included | Included |
| Mobile Web (browser) | Included | Included |
| Mobile App | Not included | Included |
For Amazon specifically: purchases and searches made through the Amazon app are not captured in Cross-Retail IQ. To include Amazon app traffic, use Amazon IQ.
Single-Retailer vs. Multi-Retailer Scope
Some metrics in Cross-Retail IQ are only available when viewing a single retailer and cannot be combined across retailers. Others work at both single-retailer and multi-retailer scope.
| Metric | Single retailer | Multi-retailer |
| Product (SKU) Views | Available | Not available, use Brand Views instead |
| Product Clicks | Available | Not available |
| Brand Views | Available | Available |
| Category Views | Available | Available |
| Brand Views Share | Available | Available |
| Brand Clicks Share | Available | Available |
When comparing share figures across different analyses or reports, always use the same retailer set in both. Adding or removing a retailer from your selection will shift every share figure in the report.
Quick Reference: Which Metrics to Use When
| Your Goal | Key Metrics to Track |
| Grow market share | Revenue Share, Units Sold Share, Category Trend |
| Improve visibility | Search Visibility, Page One Rate, Total Views Share |
| Optimize pricing | Average Selling Price, Conversion Rate, Revenue vs. Units trends |
| Beat competitors | Brand Affinity, Competitive Average Share, Keyword Competitors |
| Find new keywords | Keyword Opportunity Matrix, Fastest Growing Keywords, My Brand Share (Keyword) |
| Expand to new retailers | Retailer Market Share, Retailers Landscape, My Brand Opportunities Matrix |
| Improve listings | Conversion Rate, Average Rating, Reviews, Page One Rate |
| Understand customers | Demographics Metrics, Basket Mix, Retail Overlap |
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