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In consumption models, revenue is tied directly to daily usage, not an annual contract. This eliminates the luxury of time for value realization. The traditional handoff from a 'hunter' (AE) to a 'farmer' (CSM) is too slow and fragmented; the functions must merge for immediate value.
Sales leader John McMahon explains that while perpetual licenses offered years to fix issues, today's consumption-based models can see customers churn in a week if they don't see immediate value. This demands an intense focus on rapid value realization.
Traditional marketing silos are becoming obsolete as AI manages the entire customer lifecycle. Leaders must blend performance and retention teams to focus on holistic customer behaviors, requiring more agile and flexible org structures that are not based on channel-specific metrics.
A radical approach to ensuring customer value is to eliminate the traditional Customer Success team. As seen at Snowflake, this forces sales reps to own the entire lifecycle. They are incentivized to only sell deals they know will be successful, preventing the acquisition of 'bad fit' customers.
A one-size-fits-all sales role fails in consumption models. Success requires segmenting the team into specialized roles—new business acquisition, customer onboarding, and account management—each with distinct incentives aligned to their specific function, from initial sign-up to value realization and expansion.
The dominant per-user-per-month SaaS business model is becoming obsolete for AI-native companies. The new standard is consumption or outcome-based pricing. Customers will pay for the specific task an AI completes or the value it generates, not for a seat license, fundamentally changing how software is sold.
Traditional SaaS was built for siloed human departments (e.g., sales, marketing, support). AI enables a single agent to manage the entire customer journey, forcing these distinct software categories to converge into unified platforms.
In Snowflake's consumption model, a salesperson's job isn't done at signing. They have separate quotas for bookings (the commitment) and consumption (actual usage). This structure forces them to act as a long-term business partner, ensuring the customer successfully adopts and uses the platform.
Unlike perpetual or even subscription models, consumption-based compensation holds sales reps directly responsible for the customer's ongoing product usage. Reps are on the hook to ensure credits are "burned down," effectively merging the roles of sales and customer success and forcing a continuous selling motion.
Google's new business reps were compensated on the first three months of a new customer's spend, despite handing them off immediately after the initial sign-up. This incentivized them to find high-potential customers who would derive significant value from the product, rather than just securing a large upfront commitment.
As AI agents perform more work and human headcount decreases, the traditional seat-based pricing model becomes obsolete. The value is no longer tied to human users. SaaS companies must transition to consumption-based models that charge for the automated work performed and value generated by AI.