Case study · PE-backed industrials platform

from cost center to digital revenue engine

How a PE-backed industrials platform rebuilt digital demand, funnel conversion, pricing, RevOps, and AI workflows to beat its entire prior-year revenue in 3.5 months.

+951% closed-won revenue
+294% deals won
+167% average contract value
90% recurring revenue

The situation

the exit was in sight. the growth engine wasn't.

A strong platform late in its hold had a clear exit target, but organic growth had stalled. Digital demand was inefficient, qualified pipeline was thin, and the company needed more closed-won revenue to support the exit case. Marketing was being treated as a cost center, not an engine for enterprise value.

WHAT WE WALKED INTO

0.89×growth spend ROI
stallingorganic growth
thinqualified pipeline
at riskexit case

The growth gap

the gap was not more leads. it was the engine.

The company did not need a campaign refresh. It needed a connected digital growth system from demand to closed-won revenue.

demand was inefficient

Spend was generating activity, but not enough qualified pipeline.

conversion was leaking

Lead quality, routing, follow-up, and quote workflows were slowing revenue.

pricing was suppressing value

Packaging and pricing did not reflect the value customers were willing to pay for.

reporting was disconnected

The sponsor could see activity, but not how each lever tied back to the exit case.

What we did

we rebuilt the digital growth engine.

Operators inside the business owned the connected system: demand, conversion, pricing, RevOps, AI, and sponsor reporting.

01

digital demand

Rebuilt channel mix, cut waste, and redirected spend toward demand that converted into qualified pipeline.

02

funnel conversion

Fixed lead quality, routing, speed-to-lead, quote follow-up, and CRM visibility so demand became closed-won revenue.

03

pricing and positioning

Repositioned the offer and trained the team to sell on value, lifting average contract value by 167%.

04

ai operating layer

Cleaned up the data and CRM so AI can act on it, then began deploying AI SDR agents to scale follow-up without new headcount.

05

deal-model reporting

Reported every lever against the sponsor's plan, so management and the fund could see what was moving the exit case.

The results

prior-year revenue beaten in 3.5 months.

The engine moved the metrics that matter to a sponsor: revenue, deal volume, contract value, recurrence, and efficiency.

Closed-won revenue+951%
Deals won+294%
Average contract value+167%
Recurring revenue90%
Qualified pipeline
Growth spend ROI0.89× → 5.0×
Cost per qualified lead−71%

REVENUE · FULL-YEAR 2025 VS 2026 YTD

prior full year all of 2025 2026 · 3.5 mo

Full-year 2025 revenue matched in 3.5 months, with pipeline still converting.

Why it worked

this was not a rising tide. it was an operated engine.

Same company. Same product. Same market. The variable that changed was ownership of the digital growth engine.

tied to the deal model

Results were reported against the underwriting case, not retrofitted into a marketing story.

no new tailwind

No new product, no market re-rating, no category surge. The same inputs ran through a better engine.

owned and instrumented

Every lever was operated by our team and measured live, so gains could be traced to the work.

What's next

the pipeline is still converting.

Qualified pipeline doubled, and with long enterprise sales cycles, much of that demand is still converting into closed-won revenue. The company is tracking toward its exit case with a digital growth engine that can keep compounding.

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