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The RevPartners RevOps Maturity Model

Every company is “doing RevOps” (some better than others), and they’re all on a journey to RevOps maturity.  

But how can a company be sure that it’s actually progressing?

To help, we’ve come up with the 5 Level RevOps Maturity Model to assess where your company currently is–and where it needs to go.

How Does it Work?

Linear Progression

The model emphasizes a sequential progression through each level, ensuring businesses address current challenges and establish a strong foundation before advancing to the next stage. This approach allows companies to build upon their successes and continuously improve their RevOps strategies.

Levels and Requirements

Each level within the model has distinct beginning and end states, along with specific requirements that must be met before progressing to the next stage. This structure enables businesses to focus on achieving defined goals and milestones, ensuring a comprehensive and effective RevOps strategy.

Addressing Pain Points

The model encourages businesses to address their current pain points and challenges before moving on to the next stage. By systematically tackling these issues, companies can maximize the benefits of their RevOps investments and pave the way for sustained growth and success.

Level 1 - Organize Process and Integrate Data


The primary goal of Level 1 is to integrate critical data sources and adopt structured business processes within a CRM based on a core data model. This step is crucial for establishing a solid foundation for an efficient RevOps system.

Key Components

Data Integration

  • Establishing Data Connectors: Configure and implement connectors between HubSpot CRM and essential applications, such as marketing automation tools, sales enablement platforms, and customer success solutions.
  • Mapping Data Fields: Align data fields between integrated applications to ensure consistent and accurate data syncing across platforms.
  • Data Quality: Develop and implement data quality standards and processes to maintain accurate, up-to-date, and reliable data within the CRM.

Bowtie Data Model

  • Define Core Data Objects: Establish core data objects within the CRM, such as contacts, companies, deals, and tickets, to serve as the foundation for the bowtie model.
  • Connecting Data Objects: Map out the relationships between data objects, illustrating how they interact and influence one another throughout the customer journey.
  • Data Visualization: Create intuitive visual representations of the bowtie model to help teams better understand and analyze customer interactions and behaviors.

RevOps Playbooks

  • Identify Key Processes: Determine the critical RevOps processes that need to be standardized and documented in playbooks, such as lead management, opportunity management, and customer onboarding.
  • Document Best Practices: Develop detailed playbooks that outline best practices, step-by-step processes, and role-specific responsibilities for each identified RevOps process.
  • Training and Adoption: Ensure teams receive proper training on RevOps playbooks and adopt them in their day-to-day activities.

CRM Adoption

  • User Onboarding and Training: Develop and execute comprehensive onboarding and training programs to ensure all team members are proficient in using the CRM and its features.
  • Role-Specific Customization: Configure the CRM to cater to the unique needs and workflows of different roles, such as sales representatives, marketing managers, and customer success agents.
  • Monitoring and Feedback: Continuously monitor CRM usage, gather user feedback, and make necessary adjustments to improve adoption and usability.


  • HubSpot CRM integrated with core third-party applications
  • Revenue mapping and data structured using the bowtie model
  • Foundational RevOps playbooks integrated into the CRM
  • Teams adopting and executing RevOps processes within the CRM of record

Level 2 - Primary KPIs: Measuring Performance and Driving Insights


The primary goal of Level 2 is to answer key questions about the company's performance, including the effectiveness of the core data model, user adoption of RevOps playbooks, and revenue target attainment. This stage focuses on measuring performance through primary KPIs and developing actionable insights to optimize the business's strategies.

Key Components

Establishing Primary KPIs

  • Identify Relevant Metrics: Determine the essential metrics that align with the business's goals and objectives, such as customer acquisition cost, customer lifetime value, and sales conversion rates.
  • Set Performance Targets: Define realistic performance targets for each primary KPI based on historical data, industry benchmarks, and business goals.
  • Monitoring and Tracking: Implement robust tracking mechanisms within the CRM and other integrated applications to monitor KPIs in real-time and analyze performance trends over time.

Evaluating Core Data Model Effectiveness

  • Data Model Assessment: Conduct a thorough assessment of the core data model's design, functionality, and ability to support key business processes.
  • Data Quality Analysis: Evaluate data quality across the CRM and integrated applications to ensure accurate, consistent, and reliable data is available for decision-making.
  • Feedback and Iteration: Gather feedback from users on the data model's usability and make necessary adjustments to improve its effectiveness.

Assessing RevOps Playbook Adoption

  • User Adoption Metrics: Monitor and analyze metrics related to user adoption, such as playbook usage rates, completion rates, and user satisfaction.
  • Identify Adoption Barriers: Investigate potential barriers to adoption, such as lack of training, unclear processes, or inadequate tools.
  • Implement Adoption Strategies: Develop and execute targeted strategies to address adoption barriers and improve overall adoption rates, including additional training, user incentives, or process improvements.

Analyzing Revenue Target Attainment

  • Revenue Forecasting: Utilize historical data, market trends, and sales pipeline analysis to create accurate revenue forecasts and predict the likelihood of achieving revenue targets.
  • Root Cause Analysis: Conduct in-depth analyses to identify factors contributing to potential shortfalls or overachievement of revenue targets, such as ineffective marketing campaigns, sales process inefficiencies, or customer churn.
  • Strategy Optimization: Develop data-driven strategies to address identified factors and optimize the business's performance, ensuring a higher likelihood of meeting or exceeding revenue targets.


  • A robust set of primary KPIs in place to measure historical performance and track progress against targets
  • A thorough understanding of the core data model's effectiveness and user adoption of RevOps playbooks
  • A clear understanding of whether the business is on track to hit revenue targets and why, along with data-driven strategies to optimize performance

Level 3 - Driving Business Performance with Limited RevOps Visibility


The focus of Level 3 is to enhance business performance by regularly reviewing primary KPIs, prioritizing secondary KPIs, and identifying areas of revenue leakage. This stage aims to optimize the business's RevOps strategies despite limited visibility into the company's overall operations.

Key Components

Reviewing Primary KPIs

  • Regular Performance Reviews: Conduct frequent performance reviews to monitor primary KPIs, assess progress against targets, and identify trends or patterns that may require further investigation.
  • Cross-Functional Collaboration: Encourage collaboration between marketing, sales, and customer success teams to discuss KPI performance, share insights, and develop aligned strategies for improvement.
  • Continuous Optimization: Utilize data-driven insights from KPI reviews to refine strategies and processes.

Prioritizing Secondary KPIs

  • Identify Supporting Metrics: Determine secondary KPIs that provide additional context and insights into the performance of primary KPIs, such as campaign response rates, average deal size, or customer retention rates.
  • Set Performance Targets: Establish realistic performance targets for each secondary KPI, ensuring they align with the business's overall goals and objectives.
  • Monitoring and Tracking: Implement tracking mechanisms to monitor secondary KPIs and analyze their impact on primary KPIs and overall business performance.

Identifying Revenue Leakage

  • Conduct Leakage Assessments: Perform thorough assessments of marketing, sales, and customer success processes to identify potential areas of revenue leakage, such as low conversion rates, poor customer retention, or inefficient resource allocation.
  • Root Cause Analysis: Investigate the underlying factors contributing to revenue leakage, including process inefficiencies, inadequate tools, or misalignment between teams.
  • Opportunity Mapping: Map out opportunities for addressing revenue leakage and prioritize them based on potential impact and ease of implementation.

Training Revenue Teams on Addressing Revenue Leakage

  • Develop Training Programs: Create tailored training programs that educate revenue teams on the causes and consequences of revenue leakage and equip them with the skills and knowledge to address it effectively.
  • Implement Best Practices: Share best practices and proven strategies for addressing revenue leakage across marketing, sales, and customer success teams, fostering a culture of continuous improvement.
  • Monitor Progress: Regularly monitor the progress of revenue teams in addressing revenue leakage and provide additional support, guidance, or resources as needed.


  • A regular cadence for reviewing primary KPIs and refining strategies based on insights gained
  • Prioritization of secondary KPIs to provide additional context and insights into business performance
  • Identification of key areas of revenue leakage and development of strategies to address them
  • Enhanced training and support for revenue teams to effectively tackle revenue leakage and optimize performance

Level 4 - Secondary KPIs: Deeper Insights and Forecasting


Level 4 focuses on diving deeper into the factors influencing primary KPIs by partitioning data into four additional categories. This stage aims to provide more profound insights into the business's performance and enable more accurate forecasting of goal achievement.

Key Components

Partitioning Primary KPIs

  • The "Who" Category: Segment primary KPIs by customer personas, industries, or other demographic factors to understand which customer groups contribute most to the company's performance.
  • The "What" Category: Break down primary KPIs by product lines, service offerings, or pricing models to identify which aspects of the business drive the most revenue or growth.
  • The "Where" Category: Analyze primary KPIs based on geographic regions, markets, or sales territories to uncover regional trends and opportunities for growth.
  • The "When" Category: Examine primary KPIs over different time periods, such as monthly, quarterly, or annually, to identify seasonal trends and predict future performance.

Developing Secondary KPIs

  • Identify Relevant Metrics: Define secondary KPIs that offer valuable insights into the performance of primary KPIs and help explain why specific goals may or may not be achieved.
  • Set Performance Targets: Establish realistic performance targets for each secondary KPI, ensuring they align with the business's overall goals and objectives.
  • Monitoring and Tracking: Implement tracking mechanisms to monitor secondary KPIs and analyze their impact on primary KPIs and overall business performance.

Enhancing Forecasting Capabilities

  • Integrate Secondary KPIs: Incorporate secondary KPIs into existing forecasting models to improve the accuracy and granularity of revenue predictions.
  • Continuous Refinement: Regularly review and refine forecasting models based on the insights gained from secondary KPIs to ensure they remain relevant and effective.
  • Cross-Functional Collaboration: Encourage collaboration between marketing, sales, and customer success teams to discuss secondary KPI performance, share insights, and develop aligned strategies for improvement.


  • A comprehensive set of secondary KPIs that provide deeper insights into primary KPI performance and explain why specific goals may or may not be achieved
  • Partitioned primary KPIs into four categories (Who, What, Where, When) to identify key factors influencing business performance
  • Enhanced forecasting capabilities by incorporating secondary KPIs into existing models for more accurate revenue predictions

Level 5 - Complete Revenue Visibility


The final stage, Level 5, focuses on achieving complete visibility into the revenue engine. This level enables businesses to execute their revenue plans, make pivots, and drive growth through optimized processes, proactive leakage mitigation, and predictive analytics.

Key Components

Executing Revenue Plans

  • Align Teams and Resources: Ensure marketing, sales, and customer success teams are aligned with the revenue plan, and allocate resources effectively to support plan execution.
  • Monitor Performance: Regularly monitor and analyze the performance of revenue-driving activities against targets, identifying opportunities for improvement or adjustment.
  • Agile Decision-Making: Empower teams to make data-driven, agile decisions that enable quick pivots in response to changes in the market or business landscape.

Proactive Revenue Leakage Mitigation

  • Real-Time Monitoring: Implement real-time monitoring and alert systems to detect and flag revenue leakage as it occurs, rather than relying solely on retrospective analysis.
  • Root Cause Analysis: Investigate the underlying factors contributing to revenue leakage and develop targeted strategies to address them.
  • Process Optimization: Continuously optimize revenue-generating processes to minimize leakage and maximize efficiency.

Leveraging Growth Playbooks

  • Identify Best Practices: Compile proven strategies and tactics that drive business performance and growth into a centralized library of growth playbooks.
  • Team Training: Train revenue teams on the implementation of growth playbooks, ensuring they are equipped with the knowledge and skills to execute them effectively.
  • Performance Monitoring: Track the impact of growth playbooks on key revenue metrics and refine them as needed to maintain optimal performance.

Predictive Analytics

  • Data Modeling: Develop predictive models using historical primary and secondary KPIs to forecast future performance and identify trends or patterns.
  • Scenario Planning: Conduct scenario planning exercises to assess the potential impact of various internal and external factors on revenue performance.
  • Continuous Improvement: Regularly update and refine predictive models based on new data and insights to ensure accurate forecasting and informed decision-making.


  • A well-executed revenue plan driven by agile decision-making and cross-functional alignment
  • Proactive, real-time revenue leakage detection and mitigation strategies
  • A library of growth playbooks and a well-trained team to drive business performance and growth
  • Predictive analytics capabilities for accurate forecasting and informed decision-making


More of a visual learner?


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