Here’s an exhaustive list of metrics categorized into Marketing, Product, Finance, Sales, Important Metrics, and Insights. Each metric is detailed with definitions and formulas:
Marketing Metrics
- Customer Acquisition Cost (CAC)
Total cost of acquiring a new customer.
Formula: (Marketing + Sales Expenses) ÷ New Customers Acquired. - Click-Through Rate (CTR)
The percentage of people who clicked on a link compared to those who saw it.
Formula: (Clicks ÷ Impressions) × 100. - Cost Per Lead (CPL)
The cost of generating a single lead.
Formula: Total Marketing Spend ÷ Total Leads. - Marketing Qualified Lead (MQL)
A lead that has been vetted by the marketing team as likely to become a customer. - Return on Ad Spend (ROAS)
The revenue earned for every dollar spent on ads.
Formula: Revenue from Ads ÷ Ad Spend. - Impressions
The total number of times an ad or content is displayed, regardless of interaction. - Lead Conversion Rate
The percentage of leads that convert into paying customers.
Formula: (Converted Leads ÷ Total Leads) × 100.
Product Metrics
- Daily Active Users (DAU)
The number of unique users interacting with the product daily. - Monthly Active Users (MAU)
The number of unique users interacting with the product monthly. - Feature Adoption Rate
The percentage of users who adopt a new feature.
Formula: (Users Using the Feature ÷ Total Users) × 100. - Time to Value (TTV)
The time it takes for a customer to realize the value of the product after initial use. - Error Rate
The frequency of errors or bugs encountered by users.
Formula: (Number of Errors ÷ Total Actions) × 100. - Retention Rate
The percentage of users who continue using the product over time.
Formula: [(Customers at End – New Customers) ÷ Customers at Start] × 100. - Net Retention Rate (NRR)
Measures customer retention and expansion revenue, accounting for churn and upgrades.
Formula: [(Starting MRR + Expansion MRR – Churned MRR) ÷ Starting MRR] × 100.
Finance Metrics
- Annual Recurring Revenue (ARR)
The yearly subscription revenue for a SaaS product.
Formula: MRR × 12. - Monthly Recurring Revenue (MRR)
The predictable monthly subscription revenue.
Formula: Number of Subscribers × Average Revenue Per Subscriber. - Gross Margin
The percentage of revenue remaining after accounting for the cost of goods sold (COGS).
Formula: [(Revenue – COGS) ÷ Revenue] × 100. - Burn Rate
The rate at which a company spends its cash reserves.
Formula: Monthly Expenses ÷ Available Cash. - Runway
The amount of time a business can operate before running out of cash.
Formula: Cash Reserves ÷ Monthly Burn Rate. - Customer Lifetime Value (CLV)
The total revenue a customer is expected to generate during their relationship with the company.
Formula: Average Revenue Per Customer × Customer Lifespan.
Sales Metrics
- Lead-to-Customer Rate
The percentage of leads that become customers.
Formula: (Customers ÷ Leads) × 100. - Win Rate
The percentage of sales opportunities converted into closed deals.
Formula: (Closed Deals ÷ Opportunities) × 100. - Sales Cycle Length
The average time it takes to close a deal.
Formula: Total Time to Close All Deals ÷ Number of Deals. - Average Deal Size
The average revenue generated per deal.
Formula: Total Revenue from Deals ÷ Total Number of Deals. - Quota Attainment
The percentage of sales targets met by the sales team.
Formula: (Achieved Sales ÷ Sales Target) × 100.
Important Metrics
- Churn Rate
The percentage of customers who cancel subscriptions over a period.
Formula: (Customers Lost ÷ Total Customers at Start) × 100. - Net Promoter Score (NPS)
Measures customer loyalty and satisfaction based on the likelihood of recommendation.
Scale: -100 to +100. - Expansion Revenue Rate
Revenue growth from upgrades, cross-sells, or additional purchases.
Formula: (Expansion Revenue ÷ Total Revenue) × 100. - Customer Engagement Score (CES)
A composite metric that tracks user activity and feature usage.
Insights Metrics
- Cohort Analysis
Analyzing customer groups over time to understand behavior and retention patterns. - Benchmarking
Comparing your product’s metrics against industry standards to gauge performance. - Revenue Forecasting
Predicting future revenue trends based on historical data and market conditions. - Customer Feedback Loop
Collecting and integrating customer insights to refine products and services.