Key Takeaways

Overview:
This session introduces the evolution from the traditional sales funnel to the revenue flywheel, explaining how the Revenue Performance Model (RPM) modernizes how businesses understand, measure, and grow revenue across the entire customer lifecycle—not just up to the initial sale.

Key Concepts: Funnel → Flywheel Transition

• Traditional Funnel (Outdated Model):

  • Steps: Attract → Convert → Close → Customer → Stop.

  • Growth stops at “Closed Won.” Once a customer is acquired, the model ends.

  • Ignores the complexity and opportunity of post-sale revenue activities like onboarding, renewals, expansions, and upsells.

• Modern Flywheel (RPM Model):

  • Growth continues after customer acquisition.

  • Represents continuous motion—revenue flowing through customer success, renewals, and expansion.

  • Captures the entire revenue journey: multiple products, deals, and touchpoints across sales, CS, and finance.

  • The funnel activates the flywheel—once customers enter, the flywheel keeps turning through recurring growth.

Revenue Categories Within the Flywheel

1. Non-Recurring Revenue:
   One-time transactions (e.g., buying a single product).

2. Recurring Revenue:
   Ongoing subscriptions or contracts (e.g., SaaS, memberships).

3. Usage-Based Revenue:
   Charges based on consumption (e.g., utilities, cloud usage).

   Most businesses fit primarily into one category but may have combinations of two or three.

Revenue Operations Pillars

1. Full Funnel Visibility:

   • The funnel doesn’t stop at “Customer.”

   • Businesses must track post-purchase activities and customer influence over time.

   • Customers spend more time as customers than as prospects, so post-sale visibility is essential.

2. Accurate and Actionable Data:

   • Insights must come from clean, unified data.

   • The flywheel is ineffective if data accuracy is poor.

3. Source of Truth:

   • A single system (typically the CRM) must house all revenue and customer data.

   • Anyone should be able to easily access metrics like MQLs, revenue, and attainment.

RPM Application & Alignment

• Terminology Standardization:
  RPM introduces consistent terms (e.g., CR2 = conversion rate from lead to MQL) to align cross-functional teams.

• Clarity in Customer Journey:

  • Defines key milestones pre- and post-sale.

  • Enables teams to measure performance at each stage and improve specific segments.

• Closed-Loop Growth:

  • Profit and compounding growth happen after the first purchase.

  • Best customers inform future strategy and sales process.

  • Retention and expansion drive greater ROI than net-new acquisition.

Key Takeaways

• The Non-Recurring RPM is typically used for one-time purchases where revenue is additive.

• The model structure is a horizontal funnel followed by customer onboarding.

• The RPM uses two main types of metrics: Volume Metrics (V) and Conversion Metrics (CR).

1. RPM Milestones (Customer Journey Stages)

• Sessions: Anonymous visits to a website.

• Leads: Prospects identified with contact information, usually stored in the CRM.

• MQLs (Marketing Qualified Leads): Engaged prospects that fit the business profile but are not yet in the full sales cycle.

• SQLs (Sales Qualified Leads): Prospects who want to engage further with a salesperson.

• Opportunities (Ops): Sales-qualified leads that are an active or open sales opportunity for the business.

• Closed Won: This milestone is where they agree to be a customer, such as signing a contract or entering credit card info.

• Closed Revenue: The first invoice is paid or first charge goes through, closing the revenue from a financial perspective.

• Customers: Unique individuals who make a purchase.

2. Volume vs. Conversion Metrics

• Volume Metrics (V): This is the count or number of a metric in a specified time period (e.g., V2 = number of Leads in Q2).

  • Volume is Additive. Generating more deals to the funnel, like 10 more SQLs, has an additive impact (X + 2).

• Conversion Metrics (CR): This is the conversion rate of prospects from one stage to the next, which measures effectiveness.

  • Conversion Rate is Multiplicative. Increasing the SQL to Opportunity conversion rate has a multiplying effect on closed revenue (X * 2).

  • Calculation: CR2 (Lead to MQL) = V3 (MQLs) \ V2 (Leads).

  • Time Horizon Decision: The RPM simplifies conversion rates by using the same time period (e.g., Q2 MQLs \ Q2 Leads) to enable quicker business decisions and avoid complexity.

3. Go-to-Market (GTM) Motion Impact

• The RPM is flexible and designed to work within any GTM motion.

• Terminology changes will occur based on the GTM (e.g., MQL might become Signups or Trial Starts in a Product-Led Growth (PLG) motion).

• Focus on the conversion rate because its multiplying effect is more impactful than simply increasing volume alone.

Key Takeaways & Definitions

• The Non-Recurring RPM contains a total of 13 Primary KPIs in the data model.
• 8 Volume Metrics: These metrics track the count of activity across all milestones, from Sessions to Customers.
• 5 Conversion Metrics: These metrics track the conversion rate between each volume stage, indicating process efficiency.
• Pseudo KPI: The Average Deal Size is tracked as a key data point, alongside volume and conversion.

1. The Purpose of Primary KPIs

• Highlight Broken Areas: KPIs are essential for diagnosing parts of the process that are declining or broken.
• Pinpoint Improvement: Tracking data and trends over time reveals the biggest areas for improvement or for doubling down on success.
• Team Alignment: KPIs are used to align internal teams by clarifying exactly which stage is struggling, preventing unproductive conflict.
  • Clarity Example: If V3 (MQLs) is increasing but CR3 (MQL to SQL) is declining, the data shows the qualification process is broken, not the budget for lead generation.
• Exponential Impact: Teams should focus on conversion rates because they are multiplicative and lead to a much greater, exponential impact on closed revenue.

2. Business Operations and Transitions

The RPM overlays the business structure to define team ownership during key operational transitions:

• Dark Funnel Transition: The movement of anonymous traffic (Sessions) into identified contacts (Leads/MQLs) within the CRM.
• Marketing to Sales Transition: The critical handoff of MQLs (Marketing-owned) to SQLs (Sales-owned) for qualification.
• Contact to Deal Transition: This phase involves heavy Sales Operations to create and nurture opportunities and increase deal size.
• Sales to Finance Transition: The final transition from Closed Won (contract signed) to Closed Revenue (invoice paid), which is managed by Finance Operations.

3. Growth Models

• Funnel is Exponential: The primary driver of quick, exponential growth is the optimization of the multiplicative conversion rates within the funnel.
• Flywheel is Compound: Growth driven by customers (e.g., retention, upgrades, cross-sells) is compound, creating sustained, long-term profit by continually building on existing revenue.

Key Takeaways

Non-Recurring RPM Data Insights

• Exponential Growth: High-volume inputs combined with stable or slightly increasing conversion rates (CR) result in exponential growth down the funnel.

  • Example: Increased Sessions + stable Session to Lead CR1 generated 600+ more Leads without a significant conversion rate change.

• Event Impact: A single high-value Go-to-Market event (like a webinar) can have an outsized impact on multiple KPIs.

  • The event drove up Session volume, increased the Lead to MQL CR significantly, and led to a doubling of MQLs in the quarter.

• Revenue Driver: The biggest reason for the closed revenue increase was closing a higher volume of deals (16 more deals), driven by the surge in SQL volume further up the funnel.

• Risk Factor: The decline in Average Deal Size (e.g., a $10K drop) puts more pressure on the funnel, requiring the team to close many more customers to achieve the same revenue gains.

• Highest Focus Area: The SQL to Opportunity CR trend is the most critical area to fix.

  • A significant drop from 80% to 62% means a higher volume of SQLs may result in fewer Opportunities.

  • Action: Focus on the sales process (qualification, scheduling, discovery calls) to drive this multiplicative metric up and regain exponential impact.

New RPM Concepts

• Recurring Revenue RPM: This model utilizes a different visual and logic than the non-recurring model.

• Secondary KPIs: These are created using data partitions (segmentation) to add necessary depth to the analysis of the core Primary KPIs.

• Recurring Volume Metrics: These new volume metrics are primarily associated with the flywheel side of the RPM, tracking compound growth from existing customers.

Key Takeaways

• Recurring Revenue: Money earned regularly (monthly, annually) from ongoing subscriptions or contracts, providing steady income without a new sale each time.
• Full Life Cycle Tracking: The recurring RPM tracks the entire customer journey from quote to cash and all subsequent transactions, unlike the non-recurring model which stops at the first purchase.

1. The Funnel vs. The Flywheel

• The Funnel (Left Side): Tracks the first purchase and the process of customer acquisition.
  • Metrics: Same Volume and Conversion Metrics as Non-Recurring RPM.
• The Flywheel (Right Side): Begins after the customer purchase and tracks all subsequent purchases and transactions, driving compound growth.

2. North Star Metric: Net Revenue Retention (NRR)

• Definition: The single key metric that captures the core value delivered and drives long-term growth.
• NRR: Shows how much revenue a company keeps and grows from existing customers over time, including upgrades, downgrades, and cancellations.
• Goal: An NRR over 100% means the company is growing revenue from its existing base, even when some customers churn (i.e., more water is poured into the bucket than is leaking out).
• Compounding Effect: A small increase in monthly retention (e.g., from 95% to 105%) leads to a massive, compounding increase in annualized revenue retention (54% to 179%).

3. Flywheel Volume Metrics (Revenue Categories)

These volume metrics track the dollar amount of transactions and are used to calculate NRR:

4. NRR Formula

NRR = {Starting Recurring Revenue} + {Cross-Sells} + {Upgrades} - {Downgrades} - {Churn}}

\ {Starting Recurring Revenue}}

• Starting Revenue (V7): Total recurring revenue at the beginning of the period.
• Ending Revenue (V14): The net result of all additions/subtractions to the Starting Revenue.

5. Industry Benchmarks & Stickiness

• Software/Data Warehousing (High NRR): Companies like Snowflake (126%) have high NRR because their customers are sticky, grow their usage, and constantly upgrade/cross-sell.
• E-Commerce/Consulting (Low NRR): These businesses often struggle to get NRR over 100% because products are less sticky, contracts are fixed, and there are fewer upgrade opportunities.

Key Takeaways

• Net New Revenue Driver: The massive increase in Net New Recurring Revenue (from 95K to 165K) was primarily caused by a more than doubling of the Average Deal Size (from $4.1K to $9.7K), even though the number of closed deals decreased.
• Churn as a Risk Factor: A spike in churn (e.g., $15K to $49K) is the biggest danger sign on the flywheel, as it can completely nullify all gains from cross-sells and upgrades, forcing the NRR percentage below 100%.
• The Upgrade/Cross-Sell Offset: These categories must consistently outpace downgrades and churn for NRR to succeed.
  • NRR dipped to 96% occurred despite good cross-selling because the massive jump in churn overwhelmed the positive additions.
  • Recovery: The return to 101% NRR was achieved in Q4 by crushing Cross-Sells and Upgrades (most upgrades in any quarter), which generated enough net positive revenue ($8K) to offset the high churn/downgrade volume.

Key Takeaways

1. Secondary KPIs: The "Why" Layer of Analysis

• Definition: Secondary KPIs are Primary KPIs (Volume or Conversion metrics) combined with business-specific partitions that explain the impact of operational initiatives.
  • Purpose: Primary KPIs tell you where to focus; Secondary KPIs tell you why something happened.
• Partitions (The Who, What, Where, When): These are the fields used to slice and dice Primary KPIs for deep analysis:
  • Who: Sales Rep conversion rate, ICP Profile performance, Decision Maker job title.
  • What: Product Interest conversion rate, Lost Reason analysis, MEDDIC Score on a deal.
  • Where: Geography win rate, Online vs. Offline source, Last Page Seen before converting.
  • When: Sales Cycle length (Create Date - Close Date), Quarter of highest conversion rate.

2. Data Architecture for Effective KPIs

• Data Copying is Critical: To create accurate Secondary KPIs (e.g., Deal Conversion Rate by Original Marketing Source), essential properties must copy data bidirectionally between CRM objects.
  • Example: The Source property must be copied from the Contact/Lead Object (where it originates) to the Deal/Opportunity Object to link closed revenue back to the original marketing channel.
• Adoption Key: The usability of Secondary KPIs depends on data adoption (completeness and correctness).
  • Green (100% Adopted): Data is reliable (e.g., Deal Owner, Create Date).
  • Red/Orange (Low Adoption): Data is missing or incorrect (e.g., Lost Reason is not a required or standardized field).
  • Action: Operations must focus on moving critical future-state and poorly adopted properties from Red to Green.

RPM Type: Usage-Based Revenue

• Core Definition: Usage-based revenue charges a customer solely based on the actual volume or quantity of a product or service they consume over a billing cycle.
• Variable Cost: Unlike subscriptions with a fixed cost, the revenue generated per customer fluctuates monthly, directly capturing increases in customer volume.
• Revenue Balance: This model balances the need for predictable revenue (time-based baseline) with scalability (volume-based growth).

Benefits of Usage-Based RPM

• Direct Value Alignment: The cost is directly linked to the value a customer receives; they use more, they pay more, confirming the product's value with their wallet.
• Net Revenue Retention (NRR): This model facilitates passive upsell and expansion motions, leading to organic revenue increases without requiring active sales effort.
• Low Barrier to Entry: New customers can start using the product at a minimal or free cost, allowing them to auto-upgrade themselves as they find value and increase usage.

Challenges of Usage-Based RPM

• Billing Complexity: Accurate tracking and charging are difficult due to constant fluctuations and tier changes, requiring advanced systems.
• Systems Integration: Tracking in the CRM is challenging as it requires robust, constant, bidirectional data flow between the product (tracking micro-transactions) and the CRM.
• Volatility in Forecasting: A significant portion of revenue is non-contractual, leading to big swings in monthly revenue and making 6-12 month forecasting very difficult.

The Usage-Based Flywheel Components

The usage-based flywheel utilizes metrics based on both time (customer type) and volume (tier).

Time-Based KPIs (Customer Types)

• New: Customers in the initial ramping period who have signed up but have not yet used a credit.
• Active: Customers who consistently consume the product above the minimum commitment (outgrown the free plan).
• Expanding: Usage volume has increased over the time period, signaling revenue expansion into the next tier.
• Lapsing: Usage volume has declined over the time period, signaling revenue reduction or a risk of churn.

Volume-Based KPIs (Pricing Plans/Tiers)

• Tier 1, Tier 2, Tier 3: These tiers represent defined usage limits, where a customer is automatically placed once they surpass the previous tier's threshold.
  • Insight: The price per credit usually decreases as the customer moves up tiers, rewarding higher consumption.

Consumption and Average Revenue

• Consumption (AR1): The actual volume of resources consumed (e.g., total credits used) within the given time period.
• Average Revenue (AR2): The average cost per unit of consumption (e.g., dollar per credit).

Total Revenue Formula

Total Revenue is determined by maximizing customer volume, consumption, and the average revenue per unit:

• Total Revenue = Total Customers $\times$ Average Consumption Amount $\times$ Average Revenue (per unit)

Key Takeaways

• The example is Company Z, a credit-based workflow automation platform with a Product-Led Growth (PLG) sales model.
• The primary consumption metric is the number of operations (Zaps) performed.
• Customer-Based Partitions are visualized on a bell curve of total customers:
  • New: Customers just onboarded who have not yet been active (e.g., still on the free plan).
  • Active: The majority (e.g., 70-80%) of customers who are consistently paying and using the product.
  • Expanding: The power users or growing businesses whose usage is increasing (e.g., +10-15% over the previous month).
  • Lapsing: Customers whose usage is decreasing and are at high risk of churning if not re-engaged.

Key Focus Areas & Tiering Strategy

• The core goal is to maximize total customer count while simultaneously increasing average consumption.
• Tier-Based Partitioning incentivizes higher usage:
  • As consumption increases (moving from Tier 1 to Tier 3), the cost per unit (e.g., dollar per credit) decreases.
  • Example: A customer may pay $1 per credit in the Starter Tier, but only 10 cents per credit in the highest enterprise tier.
  • Tiering also unlocks new benefits, such as higher support levels (chat to dedicated account manager) or faster load times, to influence customers to tier up.
• Retention Focus: Teams should retarget recently churned or lapsing customers to re-engage them before the next billing cycle completes the churn process.
• Acquisition Strategy: Create a low-friction sales process that allows many new customers to acquire the product at a minimal cost and organically grow into higher tiers.

Net Revenue Retention (NRR) Differences

• The NRR calculation formula remains the same, but the goal is 120% NRR for usage-based businesses.
• This higher NRR target supports growth because the initial entry point is very low, and the model depends on rapid, self-driven expansion.
• Starting MRR is defined as a hybrid of the fixed subscription (if applicable) and the historical average of variable usage.
• Expansion is tracked via more consumption, cross-selling into new products, or setting higher tier minimums (which forces customers into a paid tier).
• Contraction (downgrades/lapsing) is seen as more resilient to full churn, as a customer can move down a tier and still remain a paying customer.

CRM Implementation Challenges

• Data Challenge: Consumption data lives in the product (e.g., number of Zaps/credits used) and must be brought into the CRM to track changes per time period.
• Lagging Indicator: Without robust, real-time integration, there is a delay between a billing change and the Customer Success team's knowledge and action. This means customer success may try to re-engage a customer after they have already churned.
• Reporting Complexity: The team must decide on a roll-up time period (e.g., monthly roll-up versus tracking every individual micro-transaction change). Robust integration is required to avoid data being a "little bit behind."