Monthly Recurring Revenue

Definition

Monthly Recurring Revenue (MRR) is the total predictable revenue a company expects to generate from its subscription-based services or contracts on a monthly basis. It standardizes recurring income, offering a clear view of revenue trends.

Business Context

Monthly Recurring Revenue (MRR) is a key indicator of subscription growth and revenue predictability, reflecting the total recurring income generated from active customers each month.

Its importance varies across contexts:

• In SaaS, it’s used to track net new revenue, expansion, and churn
• In freemium/PLG models, it highlights conversion and upgrade efficiency
• In enterprise models, it reflects contract value and renewal velocity

A growing MRR signals customer growth, retention, or expansion, while a declining MRR flags churn or shrinking account value.

By segmenting MRR by source, customer type, or product, you unlock insights to forecast growth, refine pricing, and reduce risk.

MRR informs:

• Strategic decisions, like revenue forecasting and pricing models
• Tactical actions, such as launching expansion plays or reactivating churned accounts
• Operational improvements, including billing cycle optimization and pipeline predictability
• Cross-functional alignment, enabling finance, CS, growth, and RevOps to collaborate on sustainable growth

Key Drivers

These are the main factors that directly impact the metric. Understanding these lets you know what levers you can pull to improve the outcome

• New Customer Acquisition and Activation: Each new signup contributes to MRR. More customers, more recurring revenue.
• Expansion vs. Churn Balance: Net MRR growth depends on upsells outpacing churn and downgrades.
• Plan Structure and Billing Logic: Usage-based or annual billing converted to monthly recognition affects total MRR.

Improvement Tactics & Quick Wins

Actionable ideas to optimize this KPI, from fast, low-effort wins to strategic initiatives that drive measurable impact.

• If MRR growth is slow, accelerate time-to-upgrade with usage nudges and fast paths to expansion.
• Add upgrade prompts when users hit plan limits or unlock power features.
• Run a QBR campaign with CS to revisit value metrics and propose plan reviews.
• Refine pricing pages and checkout flows to upsell at the point of highest intent.
• Partner with finance to identify MRR leakage due to failed payments or billing errors.

Related Activities

Activities commonly tied to improving or operationalizing this KPI.

Activity	Description
Revenue Management	Revenue Management is a strategic process focused on maximizing an organization’s income by aligning pricing, packaging, customer segmentation, and sales or channel tactics with market demand, competitive positioning, and overarching business objectives. It makes the motion operational through ownership, routines, and cross-functional follow-through. Relevant KPIs include Cost to Serve and Customer Lifetime Value.
Retention Strategies	Retention Strategies involves systematic initiatives and processes aimed at maximizing customer lifetime value by proactively engaging and supporting existing users. It helps teams translate strategy into repeatable execution. Relevant KPIs include Customer Churn Rate and Customer Lifetime Value.
Upsell Programs	Upsell Programs focuses on Upsell_Programs encompass strategic initiatives aimed at increasing customer value by encouraging the adoption of higher-tier products, premium features, or expanded usage. It coordinates execution across touchpoints so teams can move users or accounts toward the target outcome. Relevant KPIs include Monthly Recurring Revenue.
Pricing Optimization	Pricing Optimization is a continuous process that analyzes market demand, customer segments, competitor offerings, and product value to set and adjust prices in alignment with revenue goals and customer willingness to pay. It improves performance by removing friction, testing changes, and scaling what works. Relevant KPIs include Average Deal Size and Monthly Recurring Revenue.

Required Datapoints

• New MRR: Revenue added from new customers in a given month.
• Expansion MRR: Additional revenue from upsells, cross-sells, or upgrades.
• Churned MRR: Revenue lost due to downgrades or cancellations.
• Reactivation MRR: Revenue regained from previously churned customers.

Example

A SaaS business calculates MRR for October:

• New MRR: $20,000
• Expansion MRR: $5,000
• Reactivation MRR: $2,000
• Churned MRR: $7,000
• Net MRR = (20,000 + 5,000 + 2,000) − 7,000 = $20,000

Formula

$$\mathrm{Net\ MRR} = (\mathrm{New\ MRR} + \mathrm{Expansion\ MRR} + \mathrm{Reactivation\ MRR}) - \mathrm{Churned\ MRR}$$

Positive & Negative Influences

Negative Influences

• Customer Churn: High churn rates reduce the customer base, directly decreasing MRR as lost customers no longer contribute to recurring revenue.
• Downgrades: Customers moving to lower-tier plans reduce their subscription value, negatively impacting MRR.
• Discounting Strategies: Excessive discounting can lower the average revenue per user, reducing overall MRR.
• Billing Errors: Frequent billing errors can lead to customer dissatisfaction and increased churn, negatively affecting MRR.
• Market Saturation: In highly saturated markets, acquiring new customers becomes challenging, limiting MRR growth potential.

Positive Influences

• New Customer Acquisition: An increase in new customer signups directly boosts MRR as each new customer adds to the recurring revenue base.
• Customer Activation: Higher rates of customer activation ensure that new signups are effectively contributing to MRR, as activated customers are more likely to continue their subscriptions.
• Upsells and Cross-sells: Successful upselling and cross-selling to existing customers increase their subscription value, thereby increasing MRR.
• Plan Upgrades: Encouraging customers to upgrade to higher-tier plans increases the average revenue per user, positively impacting MRR.
• Annual Billing Conversions: Converting annual billing to monthly recognition can provide a more consistent and predictable MRR, smoothing out revenue fluctuations.

Funnel Stage & Type

AAARRR Funnel Stage

This KPI is associated with the following stages in the AAARRR (Pirate Metrics) funnel:

• Revenue

Type

This KPI is classified as a lagging Indicator. It reflects the results of past actions or behaviors and is used to validate performance or assess the impact of previous strategies.

Ownership

Primary Owner

This role is directly accountable for the KPI and is expected to drive progress and decisions around it.

• Finance

Secondary Owners

These roles contribute directly to performance and typically partner on execution, reporting, or optimization.

• Revenue Operations
• Executive

Supporting Leading & Lagging Metrics

Leading

These leading indicators influence this KPI and act as early signals that forecast future changes in this KPI.

• Activation Rate: Activation Rate measures how many users reach meaningful engagement milestones, acting as a strong early indicator of future MRR growth or decline. Higher activation rates generally forecast increased conversion to paid subscriptions, directly impacting future Monthly Recurring Revenue.
• Product Qualified Leads: Product Qualified Leads (PQLs) signal users/accounts demonstrating high intent and value realization, which often precede new paid conversions. An increase in PQLs is an upstream driver that forecasts future MRR growth as these users convert to paid plans.
• Deal Velocity: Deal Velocity measures how quickly deals move through the pipeline. Faster deal velocity usually results in more closed-won deals within a period, accelerating MRR growth. Slowdowns may signal future stagnation or decline.
• Number of Monthly Sign-ups: The volume of new sign-ups is a direct input into the pool of potential paying customers. A rise in sign-ups, especially when combined with strong activation and conversion rates, predicts future increases in Monthly Recurring Revenue.
• Trial-to-Paid Conversion Rate: This metric quantifies how effectively trial users convert to paid subscriptions. Higher trial-to-paid conversion rates are leading indicators of upcoming MRR growth, while declining rates may foreshadow future MRR softness.

Lagging

These lagging indicators confirm, quantify, or amplify this KPI and help explain the broader business impact on this KPI after the fact.

• Revenue Churn Rate: Revenue Churn Rate quantifies the percentage of recurring revenue lost due to cancellations or downgrades. High revenue churn directly reduces MRR, providing a critical lens on revenue retention and stability after the fact.
• Contract Renewal Rate: This rate measures how many expiring contracts are renewed. A high renewal rate supports sustained or growing MRR, while a declining rate signals potential future MRR contraction. It confirms the health of existing revenue streams.
• Expansion Revenue Growth Rate: This metric captures the rate at which existing customers increase their spending (through upsells/cross-sells), directly contributing to MRR uplift and highlighting the effectiveness of expansion efforts.
• Customer Churn Rate: Customer Churn Rate tracks the loss of paying customers, which, in turn, decreases MRR. It quantifies the outcome of retention efforts and explains fluctuations in recurring revenue post-facto.
• Net Revenue Retention: Net Revenue Retention combines retained, expanded, and lost revenue from existing customers. It validates the net effect of upsells, churn, and downgrades on MRR, providing a holistic post-period view of recurring revenue health.

Data Model Definition

How this KPI is structured in Cube.js, including its key measures, dimensions, and calculation logic for consistent reporting.

cube('Revenue', {
  sql: `SELECT * FROM revenue`,
  measures: {
    newMrr: {
      sql: `new_mrr`,
      type: 'sum',
      title: 'New MRR',
      description: 'Revenue added from new customers in a given month.'
    },
    expansionMrr: {
      sql: `expansion_mrr`,
      type: 'sum',
      title: 'Expansion MRR',
      description: 'Additional revenue from upsells, cross-sells, or upgrades.'
    },
    churnedMrr: {
      sql: `churned_mrr`,
      type: 'sum',
      title: 'Churned MRR',
      description: 'Revenue lost due to downgrades or cancellations.'
    },
    reactivationMrr: {
      sql: `reactivation_mrr`,
      type: 'sum',
      title: 'Reactivation MRR',
      description: 'Revenue regained from previously churned customers.'
    },
    totalMrr: {
      sql: `${newMrr} + ${expansionMrr} - ${churnedMrr} + ${reactivationMrr}`,
      type: 'number',
      title: 'Total MRR',
      description: 'Total Monthly Recurring Revenue calculated as New MRR plus Expansion MRR minus Churned MRR plus Reactivation MRR.'
    }
  },
  dimensions: {
    id: {
      sql: `id`,
      type: 'string',
      primaryKey: true,
      title: 'ID'
    },
    customerId: {
      sql: `customer_id`,
      type: 'string',
      title: 'Customer ID'
    },
    createdAt: {
      sql: `created_at`,
      type: 'time',
      title: 'Created At'
    }
  }
});

Note: This is a reference implementation and should be used as a starting point. You’ll need to adapt it to match your own data model and schema