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New Metrics

The newest metrics added to MetricHQ. Check here for emerging KPIs and recently published definitions — including metrics for fast-moving fields like AI, where measurement standards are still forming.

Default directory · A–Z · 23 metrics

Add-to-Cart Rate

Add-to-Cart Rate measures the share of sessions in which at least one product is added to a shopping cart. It shows how effectively your product pages and browse experiences move visitors toward purchase intent. Track it to spot friction on product detail pages, evaluate merchandising and offers, and compare buyer intent across channels, devices, and audiences.

AI Adoption Rate

The percentage of eligible users actively using an AI tool or feature within a given period (daily, weekly, or monthly). Measures whether AI investment is reaching real workflows — license counts and deployments alone don't.

AI First-Pass Rate

The percentage of AI outputs that pass human review on the first attempt, without rework. Distinct from acceptance rate: this measures quality at the review gate, and determines whether scaling an AI workflow spreads value or spreads rework.

AI Incremental Business Value

AI Incremental Business Value is the net financial gain an AI system creates, measured as total value generated (revenue, cost savings, prevented losses) minus the full cost of operating it. It connects AI investment directly to bottom-line impact rather than usage activity.

AI Response Acceptance Rate

AI Response Acceptance Rate is the percentage of AI-generated outputs, including answers, drafts, code, and recommendations, that users accept without editing or rejection. It measures whether AI assistance produces work people actually use. Its inverse is the Manual Override Rate.

Bed Occupancy Rate

The Bed Occupancy Rate is a fundamental metric in healthcare management that measures the percentage of staffed hospital beds that are in use over a specific period of time. It is an essential indicator of a hospital's efficiency and capacity. A higher rate indicates a greater utilization of available beds. While there is no single benchmark for an "ideal" rate, it must be balanced to ensure a hospital is efficiently using its resources without becoming so full that it cannot accommodate new patients or handle unexpected surges in demand.

Blended CAC Ratio

Blended CAC Ratio is the total sales and marketing spend required to acquire both new and expansion annual recurring revenue (ARR) in the same period. Unlike narrower CAC measures that focus only on new customer acquisition, Blended CAC Ratio accounts for all sales and marketing costs tied to both new customers and expansion revenue from existing ones. This gives SaaS companies a complete picture of what it costs to grow revenue, not just land it.

Cart Abandonment Rate

Cart Abandonment Rate is the percentage of shopping sessions in which a visitor adds at least one item to a cart but leaves without completing a purchase. It quantifies mid-funnel friction and helps you pinpoint checkout blockers, pricing or shipping concerns, and gaps in product detail clarity. Track it over time and by segment to understand where intent stalls and which fixes move the needle.

Cost Per AI-Resolved Task

Cost Per AI-Resolved Task is the fully loaded cost to complete one task using an AI system, including compute, infrastructure, and human review expenses. Token costs alone dramatically understate true cost; human review is often the largest component.

Days Sales of Inventory

Days Sales of Inventory (DSI) is the average number of days a company takes to convert its inventory into sales. It measures how long stock sits before it sells, making it a key indicator of operational efficiency, liquidity, and working capital management.

Dead Stock

Dead stock is inventory that has not sold for an extended period — typically over a year — and is unlikely to sell in the future. It ties up working capital, wastes storage space, and increases carrying costs without generating any revenue.

Decision Velocity

Decision Velocity is the average time between a business question being asked and a decision being made on it. Used to measure whether AI and analytics tools are actually shortening the path from data to action.