Collection
Complete list of all the Saas Metrics startup founders need to learn to master metrics and waht venture capital investors will expect you to know.
Count of users actively interacting with a product over a set period.
Average annual revenue value per customer contract.
Annualized subscription revenue from current contracts.
Rate at which a company spends its cash reserves.
Percentage of nurtured leads that eventually convert into customers.
Number of unresolved support tickets at any given time.
Mean count of sessions per user in a given period.
Average cost incurred to resolve an individual support ticket.
Percentage of recurring revenue retained excluding any expansion revenue.
Revenue average generated by each active customer.
Average interval between consecutive user sessions.
Typical frequency with which an average user engages with a product.
Revenue invoiced to customers during a specific period.
Overall cost to acquire a customer across all channels.
Total value of signed contracts/orders in a given period.
Percentage of visitors leaving a website after viewing one page.
Percentage of the codebase tested by automated tests.
Total expected revenue from a customer over their entire relationship.
Time required for customer revenue to cover the cost of acquisition.
Time taken to convert investments into cash from sales.
Revenue lost from cancellations or non-renewals.
Composite measure summarizing overall user activity and interaction.
Percentage of users clicking a specific link or call-to-action.
Time from starting a feature’s development to its deployment.
Percentage of subscriptions renewed at the end of a contract period.
Level of participation and interaction within a product’s community.
Mean annual revenue growth rate over time, assuming compounding.
Time required for a new salesperson to achieve full productivity.
Total annualized revenue promised by signed contracts.
Revenue loss from customers downgrading their subscriptions.
Revenue left after variable costs to cover fixed costs and profit.
Percentage of sales-qualified leads that convert to paying customers.
Average cost to generate a new sales lead.
Total cost incurred to acquire a new customer.
Time needed for a new customer’s revenue to recoup their acquisition cost.
Rate at which new customers are added over time.
Indicator of a customer’s engagement and likelihood to renew.
Percentage of recurring revenue retained from existing customers, with or without upsells.
Metric indicating the degree to which customers actively promote a brand.
Assessment of the quality and sentiment of customer feedback.
Average time taken for support to respond to a customer query.
Rate at which the customer base increases over time.
Composite measure of customer loyalty across various factors.
Proportion of total market revenue captured by a company.
Quantifies how actively customers interact with a product.
Average number of new users generated by each existing user’s referrals.
Percentage of customers lost over a specific timeframe.
Evaluation of how easy it is for customers to resolve issues.
Average revenue generated per customer account.
Average duration to manage a customer support interaction.
Count of unique users engaging with a product monthly.
Frequency with which users return to a product over time.
Average number of days to collect receivables after a sale.
Advance payments recorded as liabilities until earned.
Percentage of visitors taking a desired action on a landing page.
Frequency at which code changes are deployed to production.
Percentage of customer accounts that renew their subscriptions.
Earnings before interest and taxes indicating core operating performance.
Earnings before interest, taxes, depreciation, and amortization showing operational profit.
Percentage of users interacting with social media posts.
Composite metric that quantifies overall user interaction and activity.
Percentage of time a system is fully operational.
Additional monthly revenue from existing customers upgrading their plans.
Rate at which additional MRR from existing customers increases.
Additional revenue from existing customers through upsells or cross-sells.
Count of unique users engaging with a product weekly.
Proportion of pending work to address code quality issues relative to new development.
Percentage of users engaging with a particular feature.
Total number of support requests received in a period.
Percentage of support issues resolved on the first interaction.
Cash available after operating expenses and capital investments.
Total monthly cash expenditure before accounting for revenue.
Revenue retained from existing customers excluding expansion revenue.
Revenue remaining after subtracting cost of goods sold, as a percentage.
Total transaction value processed through a platform.
Revenue minus the cost of goods sold.
Percentage of recurring revenue retained from existing customers after churn and upsells.
Proportion of time a system is available for use.
Percentage increase in website visitors over a period.
Percentage of leads that progress into qualified prospects.
Average time taken to respond to a new lead inquiry.
Cost incurred to acquire a new customer or conversion.
Percentage of leads that convert into paying customers.
Leads vetted by sales as having a high probability to convert.
Increase in unique customer accounts or logos over time.
Percentage of customers making additional purchases.
Comparison of a customer’s lifetime value to the cost of acquiring them.
Revenue growth efficiency measured against sales and marketing spend.
Extent to which a product or service has captured its target market.
Growth measured by revenue or customer count across different segments.
Effectiveness of marketing spend in driving revenue growth.
Leads deemed likely to become customers based on marketing criteria.
Average time taken to merge code contributions.
Average time interval between system failures.
Percentage change in a metric from one month to the next.
Proportion of daily active users relative to monthly active users.
Predictable monthly subscription revenue.
Percentage increase or decrease in MRR over time.
Monthly cash loss after subtracting revenue from expenses.
Revenue retained from existing customers including upsells, as a percentage.
Total profit after all expenses, taxes, and costs.
Net percentage loss in MRR after offsetting expansion with churn.
Overall monthly revenue change after adding new, expansion, contraction, and churned MRR.
Profit after operating expenses but before interest and taxes.
Percentage of revenue that remains as profit after all expenses.
Measure of overall customer satisfaction with a product or service.
Evaluation of the reasons and patterns behind user drop-off.
Percentage of recurring revenue retained from existing customers after upsells and churn.
Revenue gained from new subscriptions in a month.
Primary metric that best represents a product’s core value and growth driver.
Cash generated from core business operations.
Operating expenses expressed as a percentage of total revenue.
Earnings before interest and taxes expressed as a percentage of revenue.
Cost to acquire a customer through organic channels.
Average number of pages viewed during a single visit.
Customer acquisition cost from paid marketing efforts.
Percentage of sales opportunities that result in closed deals.
Time taken to respond to a system incident.
Leads showing product engagement indicating high conversion potential.
Customer loyalty metric based on likelihood to recommend.
Net profit divided by the number of employees.
Duration from feature conception to its production release.
Efficiency metric comparing revenue growth to churn losses.
Revenue-based measure of subscription renewals.
Average interval between consecutive customer purchases.
Innovation output relative to R&D spending.
Percentage of users who continue using a product over time.
Profit generated as a percentage of total assets.
Net income expressed as a percentage of shareholders’ equity.
Gain or loss on an investment relative to its cost.
Percentage increase in revenue over a set period.
Average revenue earned from each customer account.
Average revenue generated per employee.
Tracking customer retention over time based on specific groups.
Combined revenue growth and profit margin target of 40% or higher.
Speed at which deals progress through the sales pipeline factoring deal size and win rate.
Average monetary value of closed sales deals.
Revenue growth achieved per dollar spent on sales and marketing.
Percentage of leads that are successfully converted into paying customers.
Percentage of customers who refer new prospects.
Revenue generated per sales team member.
Ratio of potential sales opportunities to revenue targets.
Percentage of support tickets that require higher-level intervention.
Average duration of a user session.
Level of interaction with marketing content.
Percentage of leads that become sales-qualified.
Percentage of users who start using a new feature.
Percentage of support issues resolved through self-help resources.
Average time required to resolve a support ticket.
Frequency at which errors occur in a system.
Average time taken to restore a system after a failure.
Percentage of users successfully completing a specific task.
Average time taken to resolve reported software bugs.
Percentage of support tickets that are reopened after resolution.
Measure of customer satisfaction with support services.
Count of unique users engaging with a product daily.
Percentage of products returned by customers.
Average duration of user engagement with a product per session.
Average time taken to finalize a sale from initial contact.
Time taken for a new user to perform a critical initial action.
Duration for a customer to experience initial product value.
Typical duration of customer contracts.
Percentage of users who stop using a product over a period.
Percentage of users continuing to engage with a product over time.
Metric capturing user sentiment and qualitative feedback.
Rate of increase in the number of active users over a period.
Percentage of users completing a defined process within a product.
Percentage of users who finish the onboarding process.
Percentage of incidents with completed follow-up analyses.
Measure reflecting overall satisfaction levels among users.
Percentage of customers retained over a defined period.
Percentage of marketing emails that are opened by recipients.
Percentage of new users completing key onboarding actions.
Average duration from initial contact to closing a deal.
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