Retirement and Benefits Provider beat PE expectations with a 3x MOIC and 9x EBITDA multiple
Rebuilding a data-driven GTM and RevOps engine helped management outperform PE expectations, delivering 3x MOIC vs ~2x target and a 9x EBITDA exit multiple vs 8x goal.
A national retirement and benefits platform serving public-sector and corporate employers, had rapidly acquired firms and invested heavily in sales and enablement ahead of a planned PE exit, but its marketing and RevOps engine lagged the scale and sophistication of the rest of the business.
The challenge was to turn a fragmented, under-instrumented marketing footprint into a unified, accountable growth engine ahead of exit.
Clarified ideal K-12, government, and brokerage buyers and how they purchase.
Scored and tiered 10,154 K-12, 22,343 government, and 1,501 brokerage prospects to focus on highest-value targets.
Standardized lifecycle (MCL→Customer), lead scoring, SLAs, and KPIs to tie marketing to pipeline and revenue.
Designed a $100k demand-gen playbook with clear volume, conversion, and value-creation assumptions.
Defined the future-state marketing org, operating cadence, martech/tracking standards, and brand architecture, including selecting the branding partner.