From Hyper-Growth to Unit Economics: A Four-Chapter Corporate Strategy
Context
CVing is a hybrid talent acquisition platform inside Italy's Umana Group, having grown at +98% CAGR since 2017 on the back of eight diversified revenue streams. By 2025, hyper-growth had plateaued to ~16% YoY, and the executive mandate shifted: stop chasing top-line expansion and start translating historical scale into defensible unit economics. We were brought in to audit the commercial engine, design a proprietary scoring product, align group entities, and chart a data-backed internationalisation roadmap.
Task
Using CVing's first-party commercial pipeline data, (1) isolate the structural revenue leaks across all business segments, (2) design a proprietary client reputation index (CVing Score) to operationalise findings into a software product, (3) define strict cross-entity boundaries within the Umana Group to prevent cannibalization, and (4) apply M.A.S. and CAGE frameworks to identify the highest-probability international expansion markets.
My Contribution
Owned the unit economics layer — built the LTV/CAC model across all four client segments (CVing Direct, Indeed-Related, CVing-for-Indeed, JobStore), quantified the €256k/year new-business drag in the CVing-for-Indeed funnel, and modelled the JobStore LTV/CAC step-change from 1.8x to 3.5x. Co-designed the CVing Score's three-pillar architecture and dynamic class-weighting system. Led the internationalisation scoring, built the M.A.S. model across candidate markets, and layered in CAGE distance analysis to surface France as the primary target.
Outcome
Delivered a four-chapter executive strategy: (1) unit economics audit isolating €750k+ in recoverable pipeline value across the consolidated portfolio, (2) full CVing Score architecture spec — three-pillar scoring engine, four client archetypes with dynamic weight redistribution, five tier-action bands, and a data instrumentation roadmap, (3) Umana Group synergy map with operational handoffs for all five entities, (4) internationalisation portfolio with France as primary target and Austria/Netherlands as margin-defensive secondaries, each with explicit execution KPIs.
Key Insights
- —Existing customer streams drive 69–92% of aggregate segment revenue across every business line — meaning Net Revenue Retention is the single most important financial lever, not new logo acquisition.
- —The video interview stage has a catastrophic 14.8% completion rate versus 70.5% for standard Typeform screening. This bottleneck inflates the effective Cost-to-Place across the entire 1M+ annual application volume.
- —CVing-for-Indeed new-business conversion stalls at 28% against a best-in-class benchmark of 65% (derived from CVing's own renewal performance), leaving an estimated €256k/year in uncaptured pipeline — the single largest addressable revenue leak.
- —Activating the JobStore multi-tenant infrastructure shifts candidate throughput per site from 500 to 1,200 applications/month and lifts the segment LTV/CAC from a vulnerable 1.8x to an elite 3.5x — making it the highest-leverage unit economic intervention available.
- —France passes both the M.A.S. quantitative filter and the CAGE friction test: shared Eurozone, CET time zone alignment, adjacent geography, Latin cultural roots, and a dense premium retail outlet network that perfectly replicates the Italian JobStore playbook.
- —The US, Canada, and UK rank highly on raw market size but fail the CAGE filter — 8–9h flight distances destroy real-time Customer Success interactions, which are the verified prerequisite for software renewal in CVing's model.