Channel Journeys Podcast

Unlocking Radical Business Growth through MRR with Randy Schirman

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Episode notes

What if there was a way you could increase your total addressable market and open up a whole new channel of partners? What if this strategic move not only enhanced customer satisfaction, but also significantly boosted your company’s market valuation and overall growth trajectory? All this is possible by adding a new revenue model to your business.

We’re all used to paying for utilities like power and water on a monthly basis based on how much we use each month. That’s exactly how many customers, especially smaller business owners, want to purchase IT services to protect and run their business. In turn, the Managed Services Providers who serve these customers want to buy and bundle technologies from vendors in the same fashion.

In this episode of Channel Journeys, Randy Schirman, VP Worldwide Partnerships at Vectra AI, shares how you can achieve all of these things by serving the needs of the customer and the partner. Randy provides valuable tips on what it takes to execute this strategy based on a utility-based Monthly Recurring Revenue (MRR) model.

Key Takeaways

Here are my top 10 lessons learned from Randy on building an MRR model to capture radical business growth:

  • Importance of Partner Ecosystem: Randy emphasizes that Vector AI’s success relies heavily on its partner ecosystem. 100% of their go-to-market strategy is executed through partners, which underscores the significance of building and maintaining strong relationships within this network.
  • Shift to MRR Model: Transitioning from an Annual Recurring Revenue (ARR) model to a Monthly Recurring Revenue (MRR) model was driven by partner and customer needs. This shift provided flexibility, allowing customers to pay based on the actual consumption of services, thereby aligning expenses more closely with revenue streams.
  • Operational and Financial Challenges: Adding the MRR model required reengineering both operational and financial systems. This included developing technology reporting capabilities and creating new invoicing and financial reporting frameworks to track monthly usage accurately.
  • Customer Retention and Churn: The MRR model demonstrated a reduction in churn and an increase in customer retention. By aligning costs with actual usage, customers and partners felt they were receiving fair value, which prolonged their engagement and loyalty.
  • Impact on Valuation: Adopting the MRR model significantly expanded the Total Addressable Market (TAM) and contributed to Vector AI being considered a unicorn with a valuation over a billion dollars. The model provided more predictable revenue streams and a diversified financial portfolio.
  • Low Touch, No Touch Sales: The MRR model allowed for a “low touch, no touch” sales strategy, meaning minimal direct interaction with end customers was needed. Partners could package the technology within their services, reducing Vector AI’s customer acquisition costs (CAC) and expanding market reach.
  • Training and Enablement: Implementing the MRR model required some additional training for partners. Key focus areas included understanding the new usage reporting mechanisms and how these fed into the financial and invoicing processes.
  • Incremental Market Opportunities: Having an MRR option opened new market segments, especially among managed service providers (MSPs) and sectors with legislative requirements for utility-based models. This strategy created additional revenue streams without cannibalizing existing ARR contracts.
  • Financial Engineering for Service Providers: Rather than leading with technology, the approach focused on financial engineering, highlighting profitability and margin predictability for partners. This strategy often led to higher buy-in from partners who saw immediate financial benefits.
  • Execution and Expertise: Successfully implementing the MRR model was driven by leveraging in-house expertise. Randy and his team had prior experience, which allowed them to navigate the complexities internally without external consultants, ensuring a smoother transition and execution.

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