The AI Growth Endurance Problem
The article argues that AI companies achieving hyper-growth rates may be masking underlying unit economics and retention challenges that will severely impact long-term valuations. It contrasts unsustainable "growth at all costs" trajectories with the T2D3 model and provides a comprehensive framework for budgeting and organizing Customer Success functions at 7% of revenue to maintain retention as a critical counterbalance to growth.
Metrics in this report
1.0percent
target
Full-stack engineering to operate and scale CS technology stack
7percent
target
B2B SaaS companies with AI productivity gains; previously 10%
3percent
target
Customer Success team scope (adoption, expansion, risk management) within 7% envelope
3percent
target
Private Equity-backed SaaS companies
-20percent
minimum
Billable services; ranges -20% to 50% depending on scale and monetization
0.5percent
target
Company-invested roles and non-billable time
0.5percent
target
Renewals and account management function within 7% envelope
20percent
minimum
Premium support offerings; ranges 20-50% depending on scale
1.5percent
target
Reactive support team; company-invested roles only
8percent
minimum
Premium support pricing as uplift on base product; ranges 8-15%