Ecommerce Metrics Glossary

Rate at which third-party logistics providers meet their agreed-upon service levels (SLAs).

Broken links percentage (must maintain <0.1% of total pageviews)

An experiment comparing two versions of content to determine which performs better.

The percentage of A/B tests that produce statistically significant improvements.

The percentage of abandoned carts successfully converted via recovery campaigns.

Percentage of total work hours missed due to unplanned absences among warehouse employees.

How well your website meets standards for users with disabilities.

Data on how subscribers use your product or service, helping identify patterns or engagement gaps.

Your percentage of total clicks in the market compared to competitors' ads.

The total number of clicks received by an advertising campaign.

The decline in ad performance due to audience overexposure to the same creative.

The average number of times a single user sees your ad during a campaign.

The percentage of total available impressions your ads actually receive.

The percentage of users who remember seeing your ad after being exposed to it.

A platform-generated rating of how relevant your ad is to the target audience.

The percentage of users who take a desired action after viewing your ad.

The effectiveness of A/B testing different ad variations to optimize performance.

The percentage of ads that are actually seen by users.

Product consideration (healthy range: 8-15% of product page views)

The percentage of users who complete a desired action after clicking on an ad.

The total ad spend divided by the number of sales generated from those ads.

The revenue generated from customers who were referred by existing satisfied clients.

The percentage of users who click on affiliate links compared to impressions.

The total income generated through affiliate marketing partnerships.

The number of sales or conversions driven by affiliate marketers.

Revenue by demographic (identifies highest-LTV customer segments)

Rate at which blocked aisles disrupt normal picking and warehouse workflows.

The total yearly revenue expected from subscriptions and other recurring revenue streams.

In-process actions not completed (cart abandonment often 60-75% in apps)

In-app purchase rate (typically 2-3x higher than mobile web at 8-12%)

Installs per campaign (average $2-5 cost per install for shopping apps)

Daily active usage minutes (5+ minutes indicates healthy app retention)

Time to interactive (critical to keep under 2 seconds to prevent 50% bounce)

Average order value from app users (typically 20-30% higher than web)

Viral coefficient measuring organic growth (sustainable growth requires >0.2)

The percentage of users who continue to use your app after installing it, indicating long-term app value.

How effectively different attribution models (first-click, last-click, etc.) explain conversion paths.

The percentage of credit card transactions successfully approved by payment processors.

Efficiency gain from automation tools like conveyors, sorting robots, or autonomous carts.

The typical number of days customers must wait when purchasing currently unavailable products.

The typical expense required to manufacture or purchase each product you ultimately sell to customers.

Mean percentage reduction given across all discounted orders.

The average number of days products remain in stock before being purchased by customers.

Mean spend per transaction (total revenue divided by order count).

Average duration to resolve an issue from first contact to solution.

Mean time to respond to general customer queries.

The typical amount each active customer contributes to your revenue stream.

Time spent per visit (benchmark 2-4 minutes for ecommerce)

Total cost of shipping divided by number of orders shipped; helps monitor average fulfillment spend.

The mean dollar amount spent per completed order, indicating customer spending habits.

Time customers wait for deliveries, support replies, or service.

How inventory is distributed specifically for business-to-business sales channels.

The number and authority of external sites linking to your content.

Time taken to complete shipping for orders containing backordered products once stock becomes available.

Percentage of customer orders delayed due to out-of-stock items waiting for replenishment.

Proportion of backordered items that are successfully fulfilled and delivered to customers.

The average number of individual products included in each customer's order.

Most frequently purchased items measured by units sold rather than revenue.

The number of conversions attributed to visitors coming from blog content.

The number of visitors coming to your website specifically through blog pages.

Single-page visits (healthy range 20-45%, >60% indicates problems)

The volume and tone of online conversations mentioning your brand.

A measure of how your target audience views your brand reputation.

The number of searches specifically for your brand name.

The exact sales volume needed to cover all your fixed and variable business costs.

Patterns in wholesale purchases or large quantity buys from B2B customers.

Income from product kits sold at a discount versus individual items.

Sales of prepackaged multi-item sets versus à la carte purchases.

The monthly rate at which your startup consumes cash reserves before achieving profitability.

CO2 emissions generated per order shipped, including transportation and warehousing impact.

Percentage of total emissions offset through green programs like reforestation or carbon credits.

Shipping cost comparison segmented by geographic zones or distance, used for pricing optimization.

Percentage of shipments that arrive with damage, requiring refunds, returns, or replacements.

Combined score evaluating carrier reliability, speed, on-time performance, and damage rate.

Uncompleted purchases (industry average 70-80%, recoverable via email/SMS)

Percentage of abandoned carts converted via email/SMS remarketing.

Checkout flow failures (each 1% reduction boosts conversions 0.5-2%)

Proportion of shipping boxes optimally filled to reduce packaging waste and shipping inefficiencies.

The net movement of money into and out of your business each month.

The click-through rate for product category pages in search results.

The frequency at which customers dispute charges and demand refunds.

Your success rate when fighting illegitimate customer refund requests.

Percentage of customer chat inquiries responded to by support.

Customer satisfaction score collected after live chat sessions.

Uncompleted checkouts (typically 60-80%, recoverable with remarketing)

Finalized purchases (each 5% increase can boost revenue 10-15%)

Checkout completions (top sites achieve 25-40% on optimized flows)

Purchase completion time (optimized flows take <90 seconds)

Successful conversions of last-minute premium offers or add-ons presented during the checkout flow.

How accurately your system or model can predict which users are likely to stop buying or cancel services.

The percentage of customers who stop buying or cancel services over time—used to track customer loss.

Percentage of churn directly attributable to poor shipping experience or failed deliveries.

The percentage of paid ad clicks coming from bots or fake users.

The ratio of users who click on a specific link to total users who view it.

Measures how well specific groups of customers (e.g., by signup month) are retained over time.

Percentage of temperature-sensitive shipments that maintained required temperature standards end-to-end.

A composite metric measuring interactions within your brand's community platforms.

Time it takes to resolve formal customer complaints.

User interaction metrics (time spent, shares, comments) with your content.

The amount each product contributes to profits after covering its specific variable costs.

The delay between a customer's initial engagement and their eventual conversion or purchase.

Goal completions (benchmark varies by traffic source and device)

Google's UX metrics (LCP <2.5s, FID <100ms, CLS <0.1 for ranking)

Cost of holding excess stock that doesn't sell, including storage and markdown discounts.

Estimated revenue lost due to items being out of stock when customers want to purchase.

The average marketing and sales cost required to convert a prospect into a paying customer.

The average amount paid for each click generated by a pay-per-click ad campaign.

The average expense incurred to generate a qualified sales lead through marketing efforts.

The cost an advertiser pays for one thousand impressions of their ad.

Total cost to complete fulfillment of one order including labor, packaging, and shipping.

Operating cost of the warehouse divided by total square footage utilized.

Instances of unauthorized promo code sharing or policy violations.

Lift in sales directly attributable to specific discount code promotions.

Average number of discounts used per customer over 12 months.

Sessions ending unexpectedly (must stay below 1% to maintain UX quality)

The performance impact of different ad creatives on campaign success metrics.

Experience uniformity (must maintain <5% conversion variance across devices)

Percentage of goods that bypass warehouse storage and ship directly from receiving to outbound logistics.

How frequently customers purchase recommended add-on products that complement their main purchase.

The percentage of customers who add complementary or premium products to their original purchase.

The percentage of users who click on an ad after seeing it.

The total spend across all channels to acquire a new customer, including marketing and sales.

Shows how many complaints you receive relative to total purchases—high numbers may signal issues.

Measures how often customers give unsolicited positive feedback—can indicate strong satisfaction.

Statistical data about your customer base including age, gender, and location.

Rating of how easy it was for a customer to solve an issue—collected via survey.

A score indicating how actively a customer interacts with your brand across all touchpoints like app, website, and emails.

Additional sales from existing customers through upsells/cross-sells.

Composite score showing customer activity, spend, and support engagement—used to predict churn.

The average time it takes for a customer to move from first touchpoint to final purchase.

The total amount a typical customer will spend during their relationship with your brand.

Shows what portion of customers return to buy again, helping you evaluate customer satisfaction and loyalty.

How frequently customers fail to complete scheduled or recurring payments.

The total investment needed to keep your existing customers engaged, including loyalty programs and retention marketing.

Percentage of customers who make another purchase after returning a product.

The percentage of customers who continue buying from your business over a specific period—higher means stronger customer loyalty.

Average score from customer product or service reviews—helps assess quality perception and satisfaction.

Customer satisfaction score collected from short surveys after purchases or interactions—usually a 1–5 or 1–10 scale.

Performance indicators broken down by customer demographics, behavior, or location.

Percentage of returns initiated by customers via online portals or other self-service options.

An index reflecting overall customer sentiment from surveys, reviews, or social media.

The complete expenditure associated with supporting customers, including staff salaries and helpdesk software subscriptions.

Customer loyalty score focused on their experience with your customer support team.

Internal evaluations of support quality, accuracy, and responsiveness.

Measures satisfaction with entire service experience—not just one interaction.

The average amount your business spends on customer service for each individual order processed.

Rate at which former customers are successfully persuaded to come back and purchase again.

Percentage of international shipments delayed due to customs inspections or border clearance issues.

Percentage accuracy of regular, periodic inventory counts compared to expected inventory data.

The percentage of inventory that arrives or becomes unsellable due to damage.

Order processing speed measured in specialized dark stores designed for rapid fulfillment.

The average number of days between a customer’s first and next purchases—used to track buying frequency.

Average number of days that unsold inventory remains on hand before being consumed or rotated.

The average number of days between a customer's first interaction and their first purchase.

Percentage of total inventory that hasn't moved or sold over a predefined, extended time period.

A financial health indicator comparing money borrowed to money invested by business owners.

The percentage of customer payment attempts that fail during checkout due to insufficient funds, expired cards, or technical issues.

Average number of delivery attempts made per order before it is successfully delivered to customer.

Customer satisfaction rating for order updates and delivery notifications during the fulfillment process.

Number of deliveries made per route mile; higher density improves logistics efficiency and lowers cost.

The ratio of packages successfully delivered without being lost or returned to sender.

Orders successfully delivered within customer-specified delivery timeframes, often used in SLA compliance.

Precision in forecasting demand shifts using real-time purchasing behavior and external market signals.

How your sales are divided among different customer age groups and genders.

Website visitor numbers segmented by device type (mobile, tablet, desktop).

Sales completed through owned channels (website/app) without third-party marketplace fees or commissions.

The percentage of direct visitors who complete a conversion.

The number of visitors who arrive by typing your URL directly.

Frequency of promotional code applications relative to total orders.

Domain resolution speed (should be <300ms to prevent user drop-off)

A search engine ranking score predicting website ranking potential.

Revenue impact of algorithm-driven price adjustments based on demand and competition.

Revenue difference attributed to using flexible or algorithm-driven pricing strategies.

A profitability measure that excludes financing, accounting, and tax decisions from the calculation.

Percentage of unsellable returned items properly recycled through eco-friendly disposal channels.

The percentage of emails that couldn't be delivered to recipients' inboxes.

The percentage of email recipients who click links within your emails.

The percentage of email recipients who complete a purchase or goal.

The click-through rate specifically for links within email campaigns.

The percentage of recipients who open your marketing emails.

The total income directly attributable to email marketing campaigns.

The average revenue generated from each email list subscriber.

The rate at which subscribers opt out of your email communications.

The open rate specifically for your repeat customer segment.

How quickly customers embrace and purchase newly introduced product lines.

Energy usage (in kWh) required to process and deliver a single customer order.

The level of interaction (likes, comments, shares) with your social content.

System failures per 10k sessions (should be <0.1% for quality assurance)

Errors made per employee in the warehouse, such as mispicks or incorrect labels.

Ratio of excess stock beyond what is necessary to meet forecasted or actual demand.

How fluctuations in currency values affect your international sales revenue.

An expanded version of CSAT, covering multiple stages or touchpoints in the customer journey.

Additional recurring revenue earned by selling more to existing subscribers.

Growth from current customers buying more/higher-value items over time.

The comparative results between different versions in an A/B test.

The frequency at which subscription renewal payments are declined due to payment issues.

The percentage of customers actively using newly launched product features.

How often your content appears in Google's featured answer boxes.

Percentage of customer demand fulfilled from available stock without requiring backorders or delays.

The percentage of issues resolved during the first interaction—higher is more efficient.

Time between customer inquiry and first response from support.

New customer acquisitions (healthy: 20-40% of monthly transactions)

Initial purchase value (typically 15-25% lower than repeat buyers)

Percentage of items picked correctly on the first try, without requiring re-checks or adjustments.

Comparative analysis of income from new customers versus established, returning purchasers.

The speed at which your social media audience is expanding.

How closely your sales predictions match your actual business performance over time.

Your system's effectiveness at identifying and blocking fraudulent transactions.

The revenue lost to scams and fraudulent purchases each month.

The percentage of purchases identified as potentially fraudulent transactions.

The percentage of payments identified as potential criminal activity.

Conversion lift when minimum cart value for free shipping is reached.

Freight cost required to ship each pound of goods across all orders; important for cost analysis.

How your shipping and handling speed affects overall customer satisfaction levels.

Percentage of shipped orders with picking, packing, or labeling mistakes that require correction.

The improvement in conversions from adding game-like engagement elements.

How often technical problems interrupt your payment processing system.

The click-through performance of ads targeted to specific geographic locations.

Percentage of issued gift cards redeemed within typical validity periods.

Percentage of gifted promo codes that recipients ultimately redeem.

Engagement metrics for wedding/baby registries (completions, average spend).

The financial cushion remaining after paying for the products you sell to customers.

The total dollar value of all products sold through your platform.

The total monthly revenue lost before accounting for expansion sales.

The total earnings remaining after subtracting only the direct costs of products sold.

The percentage of revenue remaining after accounting for direct product costs and manufacturing expenses.

Your total sales before subtracting any discounts, returns, or allowances.

Visual click/scroll data showing where 80% of users focus attention

Total income generated from your top 20% of customers who spend significantly more than average.

Top-spending groups (typically 15-20% of users drive 60-80% of revenue)

Revenue spikes and conversion patterns during major shopping holidays and events.

The total number of times your content or ads are displayed to users.

Percentage of active users converting (top apps achieve 8-12%)

Workplace injuries or accidents reported per labor hour worked in the warehouse.

Additional purchases directly attributable to specific marketing campaigns or promotions.

The level of audience interaction with influencer-promoted content.

The total audience size exposed to your brand through influencers.

The return on investment from influencer marketing partnerships.

Average number of insurance claims filed per quarter due to operational issues.

The portion of your total sales coming from customers in foreign markets.

How closely recorded inventory quantities match actual physical inventory during audits or stock checks.

Average age profile of unsold inventory, highlighting aging stock that may risk becoming obsolete.

The total expenses required to maintain unsold inventory including storage and insurance costs.

Accuracy of predicting future inventory needs compared to actual sales performance and demand.

The ongoing operational expenses needed to store products in your warehouse before they sell.

Percentage of inventory considered obsolete due to being outdated, expired, or unfit for customer use.

Percentage of inventory lost due to theft, damage, fraud, or accounting discrepancies.

The number of times your complete inventory sells out and gets restocked each year.

How frequently your entire inventory stock sells and requires replacement within a timeframe.

How many times inventory is sold and restocked during a year; higher indicates better turnover efficiency.

Proportion of inventory written off due to being unsellable or outdated beyond usable timelines.

Percentage of uptime for Internet of Things (IoT) devices used in warehouse automation.

The mean quantity of distinct SKUs purchased in a single transaction.

The positions your website holds in search results for target keywords.

The return on investment for individual keywords within PPC campaigns.

Percentage of items labeled accurately according to SKU, quantity, and shipping requirements.

Total labor wages assigned to process a single customer order end-to-end.

Percentage of warehouse labor hours spent performing value-added or productive activities.

The percentage of visitors who complete a desired action on a landing page.

Shipping cost of the final segment from warehouse to customer; typically the most expensive delivery stage.

The click-through rate for promotions with expiration dates.

The speed at which your email subscriber list is increasing over time.

Rate of users leaving chat before help is received—may indicate delay or friction.

Percentage of live chats leading to purchase or signup—measures chat effectiveness.

Sales during broadcasts (top performers achieve 10-25% conversion)

How often regional payment options (like Alipay or MercadoPago) are selected at checkout.

Your business's visibility in location-based search results.

Percentage of revenue lost due to inventory stockouts and inability to fulfill customer orders.

The portion of total sales coming from customers who make frequent repeat purchases.

The click-through rate for emails sent to loyalty program members.

Customer loyalty impact measured after fulfillment—especially timely, accurate delivery boosts loyalty.

The share of customers who sign up for and participate in your loyalty program, showing interest in rewards.

The relationship between what customers spend over their lifetime versus what you spend to acquire them.

Your brand's portion of total category sales compared to competitors in your vertical.

Quarterly/yearly increase in your percentage of total available market revenue.

MVP validation accuracy (requires 70-80% confidence before scaling)

The profit percentage specifically earned from selling physical goods in your inventory.

Small but valuable user actions that indicate progressing toward a purchase.

Operational efficiency of compact fulfillment centers in terms of throughput per square foot.

The measurable effect of micro-influencers on brand awareness and sales.

Mobile ad engagement (average 0.5-2% for display, 2-5% for search ads)

Purchase completion rate on mobile devices (benchmark 1.5-3% vs desktop's 3-5%)

Real-time sync frequency between backend systems and mobile displays (ideal: <5 minute delay)

Google's mobile-first index requirement (<3s load for SEO ranking)

Adaptive rendering across devices (must support 6+ screen sizes)