Metrics with Benchmarks Metrics

Ad Conversion Rate is the percentage of users who complete a defined action after clicking an advertisement. A conversion can be a purchase, sign?up, lead form, install, subscription, or any event that signals value to your business. CVR shows how effectively an ad turns click traffic into outcomes, not just visits.

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 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.

ARR Growth Rate is the change in annual recurring revenue over a given period, typically represented in a percentage. Steadily increasing ARR growth rate year over year is usually indicative of product-market fit.

The ARR Multiple in SaaS calculates the ratio between a company’s valuation and its Annual Recurring Revenue (ARR). This metric can be used to estimate the approximate value of a private SaaS company.

Average Purchase Frequency is the average number of times a customer makes a purchase within a defined period. It measures how often customers return to buy, helping businesses understand purchase patterns, inform loyalty strategy, and improve customer lifetime value.

Average Revenue Per Account (ARPA) represents the mean revenue generated from each customer account over a specific period, typically calculated monthly or annually. Beyond serving as a simple revenue indicator, ARPA functions as a critical strategic metric that reflects your product's value proposition, market positioning, pricing effectiveness, and customer segmentation strategy. It directly influences unit economics, growth sustainability, and competitive positioning while providing actionable insights into customer behaviour, expansion opportunities, and market penetration across different segments and growth stages.

Average Revenue Per Paying User (ARPPU) is a key performance indicator (KPI) that measures the average revenue generated from each user who has made at least one purchase within a specific time period. Unlike Average Revenue Per User (ARPU), which includes all users (both paying and non-paying), ARPPU focuses specifically on the paying customer base. This metric provides a crucial insight into the value of a business's paying customers and their spending behaviour. It is especially useful for subscription-based models, e-commerce, mobile apps, and other businesses where a distinction exists between free users and those who generate revenue. By tracking ARPPU, a company can better understand its monetization efficiency and the effectiveness of its pricing strategies.

Average Session Duration measures the average amount of time users spend per session on your website. It is calculated by dividing the total time spent across all sessions by the total number of sessions. This metric helps you understand overall engagement and whether users are consuming your content in a meaningful way.

Average Time on Page is a web analytics metric that measures the average time all users spend on a single page, excluding exit pages and bounces. Exit pages are the last pages in a session; bounces are single-page sessions. Because the metric excludes these, it reflects only engaged, multi-page visits.

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.

Bessemer Efficiency Score is a measure of capital efficiency that tracks net new ARR against net burn for a given period. This metric showcases the incremental ARR dollars added for every dollar of burn, effectively measuring a company’s spending habits.