Resource Allocation by Cohort

If enterprise customers generate 6.6x LTV/CAC and startup customers generate 3.3x, the resource allocation question answers itself — or should. In practice, most companies spread resources evenly across segments or allocate by revenue size (which favors enterprise by default). Cohort-driven resource allocation goes further: it directs investment toward the segments and behaviors that produce the highest financial return per dollar deployed.

1. Acquisition Investment by Segment ROI Allocate sales and marketing budget proportional to segment-level LTV/CAC. If mid-market has 6.4x return and startup has 3.3x, shift budget from startup acquisition to mid-market. The math is simple: $100K deployed against 6.4x returns generates $640K in lifetime value. The same $100K against 3.3x returns generates $330K. Same spend. Nearly 2x the value.
2. Customer Success Investment by Retention Value Allocate customer success resources by the retention value at risk, not by customer count. 50 enterprise accounts representing $9.25M in ARR at 95% retention have $462K at risk. 200 SMB accounts representing $2.4M in ARR at 74% retention have $624K at risk. The SMB book has more value at risk despite lower per-account revenue — and might warrant proportionally more CS investment.
3. Product Investment by Expansion Potential Cohort data reveals which segments expand and which ones stay flat. If mid-market customers expand 6% annually and enterprise customers expand 18%, product roadmap investment in enterprise features generates 3x the expansion revenue per development dollar. Follow the expansion data when prioritizing features.