Why is McKinsey shifting to outcomes-based pricing?
To better align with client goals in complex AI transformation projects, sharing both risks and rewards.
Business / Strategy
This article explores how Artificial Intelligence (AI) is transforming McKinsey's consulting approach and delves into the enduring, yet controversial, per-seat pricing model in the SaaS industry.
McKinsey's move towards outcomes-based pricing reflects a broader industry trend where AI disrupts traditional consulting models. This shift requires consultants to be genuine partners, sharing both risks and rewards with clients. The focus is now on deep implementation expertise and multi-year transformation projects rather than just strategic advice.
In the SaaS world, the per-seat pricing model continues to dominate due to its simplicity and predictability. Despite complaints of unfairness, it aligns with how businesses budget and allows users to freely use the software without worrying about micro-transactions. Alternative pricing models like usage-based or flat-rate often fall short because they either don't accurately reflect value or become unsustainable as companies scale. The enterprise pricing theater, where large customers negotiate significant discounts on per-seat licenses, further reinforces the model's entrenchment.
Actionable takeaways: Businesses should consider the predictability and alignment with value when choosing consulting services or SaaS pricing models. The rise of AI necessitates adaptable and performance-driven approaches.
To better align with client goals in complex AI transformation projects, sharing both risks and rewards.
Because it provides predictability for budgeting and allows users to freely use the software without usage restrictions.
It's difficult to accurately correlate usage with value, leading to ineffective metrics and potential product limitations.
Do you think outcomes-based pricing will become the norm in consulting? Will SaaS companies ever move away from per-seat pricing? Share your thoughts in the comments below!
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