Benchmark. Rebuild.
Compound.

A four-layer operating system for PE-backed SaaS — EBITDA growth, margin improvement, and equity value expansion.

Talk to BVCExplore the engines ↓

Equity Value = EBITDA × Multiple × Governance

EBITDA via

Revenue ↑ + Cost ↓

Multiple via

NRR >110% + Narrative

Governance via

Board + Reporting

Lower Middle Market SaaS

The Same Problems, Every Portfolio

These patterns appear within the first 5–15 discovery conversations. Operational, measurable, fixable.

REVENUE

54%

of reps spend under 40% of time actually selling. AI automation reclaims 40% of that.

COST

50%

of vendor spend reducible in 90 days. Most stacks are 40–60% redundant.

PRODUCT

3×

more likely to churn if customers miss week-2 onboarding milestones.

PRICING

11×

EBITDA leverage from pricing vs. volume. Most havent repriced in 2+ years.

ENGINEERING

30–40%

of engineering capacity consumed by maintenance with <5% adoption features.

DATA

60%

of AI initiatives fail due to poor data quality before deployment begins.

Four Layers

The BVC Framework

Benchmark

Benchmark · GTM

GTM Efficiency Audit

54%

Most PE-backed SaaS companies leak 30–40% of their pipeline before it converts. We map every funnel stage against benchmarks from 100+ comparable operators.

Full deep-dive →
→ Rep productivity and time-on-selling analysis
→ Stage-by-stage conversion vs. cohort benchmarks
→ CAC payback and pipeline velocity metrics
→ ICP accuracy score and segment fit analysis

Output — Diagnostic Report: quantified value leakage across GTM, cost structure, product retention, and data infrastructure, with a prioritized remediation agenda weighted by EBITDA impact.

Rebuild

Revenue Engine

GTM Engineering

Rebuilds the sales motion with AI-enhanced tooling, automated sequences, and rep enablement. More pipeline from the same headcount.

Full deep-dive →
→ AI-powered outbound sequencing and lead scoring
→ CRM architecture rebuild with pipeline hygiene
→ Sales playbook codification and rep onboarding acceleration
→ RevOps: forecast, attribution, and pipeline review cadence

Output — Measurable EBITDA expansion: Revenue and Cost engines operate simultaneously; the Product Engine prevents retention leakage from offsetting the gains.

Compound

Compound · CFO Layer

Metrics Normalization

Standardizes the financial and operating metrics that PE buyers use in their models — eliminating renegotiation risk from definitional gaps discovered late in diligence.

Full deep-dive →
→ ARR, MRR, churn, and NRR definition audit and alignment
→ Rule of 40, CAC/LTV, and gross margin normalization
→ EBITDA add-back analysis and defensibility assessment
→ CFO-layer reporting build for board and investor consumption

Output — Exit-ready asset: normalized metrics, NRR above 110%, and an exit narrative grounded in structural proof rather than projected aspiration.

Exit Readiness

Exit Readiness · Documentation

Investor-Grade Data Room

A well-organized, auditable data room compresses diligence timelines and reduces buyer risk perception. We build it to institutional standards.

Full deep-dive →
→ Financial model, historicals, and audit-ready statements
→ Customer data: cohorts, contracts, churn, NRR trend
→ Product and tech documentation: architecture, roadmap, IP
→ Legal: cap table, material contracts, IP assignments, litigation

Output — Premium exit multiple: investor-grade data room, buyer narrative built on structural proof, and a post-acquisition playbook that reduces buyer risk and sustains price tension through close.

The Causal Chain

From Mandate to
Multiple

What determines sponsor return?

Equity value at exit = EBITDA × Multiple × Governance. All three are tractable. None is automatic.

What drives EBITDA expansion?

Revenue growth and cost reduction must operate simultaneously — with NRR retention as a third condition. Sequential deployment sacrifices the compounding that parallel execution produces.

What expands the exit multiple?

NRR above 110% and an exit narrative grounded in structural proof — not projected growth — which reduces diligence risk and sustains price tension through close.

Why does multi-vendor execution underperform?

Specialists optimize within their scope. The integration work falls to a management team already running the business — creating coordination costs that offset local gains.

The BVC structural advantage

One operating system. Revenue, Cost, and Product engines deployed against a shared diagnostic baseline, with unified accountability for equity value — not functional deliverables.