Industries · Private Equity

Organic growth that shows up at the multiple

When a fund sells, the portfolio gets priced off the earnings it produces, so a dollar of EBITDA added during the hold gets paid for twice.

The Hold Window

Why the hold window matters

A fund raises around a thesis, buys the regional players, holds them, and then sells the portfolio. The model only works if the assets got better while you owned them. That is what makes organic a fund-level decision rather than a marketing line at one company.

A fund gets five to seven years to exit, sometimes eight. To get the exit it wants, it has to find leverage in its companies. That window gets set the day the deal closes, so every channel decision is about how much compounding fits before the sale. Organic keeps producing after you stop paying for clicks.

All of these assets, when they’re bundled, are sold at a multiple, and what a buyer is really buying is the earnings. So a dollar of EBITDA added mid-hold gets counted twice: once as earnings while you own the company, and again when the buyer prices those earnings.

Most portcos arrive mid-thesis

Add-on transactions were 74.9% of all US buyout activity in the first quarter of 2025. So most of the companies we meet are joining a platform that already has a thesis, a clock, and standards it wants everyone on.

Source: PitchBook, Q1 2025 US PE Breakdown

The Exit Arithmetic

Under $1B enterprise value

10.8x

median EV/EBITDA paid for smaller US targets

$1B enterprise value and above

16x

median EV/EBITDA paid once the platform is big

A dollar of EBITDA is worth more inside a larger company than a smaller one, so every organic dollar a portfolio company adds during the hold gets sold at the platform’s multiple.

Source: US buyouts closed in 2025, StepStone Group SPI data in PitchBook’s Q2 2026 US PE Breakdown

A Deployment We Ran

What this looked like inside one portfolio company

The clearest version we have is a PE-backed industrial services company that came to us with no organic channel running at all.

Case · PE-Backed Industrial Services

Leads from a channel that had never produced one

They had always sold through relationships and outbound, so the site was never built to catch demand. We ran the audit, rebuilt the architecture, wired up the first-party data layer, and got the engine live. Almost immediately they started getting leads from a channel that had never produced one. We deployed in under two months, and we’re expanding with them.

Deployment
<60 days

Source: A2 engagement record, industrial services, 2025

See our industrial services work →

How We Build It

The timeline, pre-close to live

01

The pre-close conversation

Before a deal closes we can sit with the deal team and talk through where the target stands in organic. Which searches is it missing, and how do the gaps line up against the thesis? It’s a read from people who have done the deployment before, and it decides how fast we can move after close.

02

Deploy in under 60 days

Architecture, the first-party data layer, and the content engine go live inside the first two months, the pace we held on the industrial services deployment above. Organic compounds only from the day it’s live, so the deploy date decides how much of the hold you get. Eight months of deliberating is eight months of compounding you never get back, so we get content live and iterate.

03

Standardize across the portfolio

Funds don’t want 500 vendors all working on the same thing in different companies, so we run one playbook, one data layer, and one relationship, deployed portco by portco. The more of the portfolio it covers, the more leverage you get from those data assets.

04

Refresh by rule set, portfolio-wide

Forge, Foundry, and Alloy, our content, page-generation, and intake systems, sit on top of each partner’s own inputs, and the system flags which pages have gone stale. When the federal residential solar tax credit ended at the close of 2025, every page referencing it was wrong overnight. Fixing that by hand is weeks of work. We change the rule set in code, and the whole portfolio updates in a day or two.

The ask we hear from funds is one partner who can move a whole channel across the portfolio.

Engagement Models

Two ways funds buy this capability

Most funds end up buying it one company at a time without ever choosing to, because each portco hired its own agency before the fund owned it. Both models put the cost in different places, and the difference shows up when something changes across the whole market at once.

Model A · Agency per Portco

Each company hires its own vendor

Vendor management
A separate relationship at every company
Data assets
Each company’s data stays in its own account
Playbook
Every new portco starts from scratch
Market rule changes
Briefed again with every vendor

Model B · Fund-Level Partnership

One program, applied at every company

Vendor management
One relationship, held at the fund
Data assets
One data layer the whole portfolio feeds
Playbook
The same standard at every new portco
Market rule changes
One rule change, applied everywhere in days

There’s a real economy of scale to having us work across the whole fund. It only pays off with enough companies to spread the standard across, and below that number we’d leave the agencies where they are.

Sourcing

Where these numbers come from

The two anchors on this page are third-party. The engagement figures are our own record of the work.

95%

of enterprise generative AI pilots fail to deliver measurable ROI

This is the figure we point at when someone asks why we don’t lead with a tool. The pilots that cleared the bar were wired into the business’s own data, which is the order we build in.

Source: MIT NANDA, The GenAI Divide: State of AI in Business 2025, via Fortune, August 2025

The multiple gradient across US buyouts

This is why we think organic contribution during the hold belongs to the fund rather than the portco. The figures, and the median multiples behind them, sit in the exit arithmetic at the top of this page.

Source: StepStone Group SPI data in PitchBook’s Q2 2026 US PE Breakdown

Private Equity · Fund-Level Partnerships

Send us the portfolio

Send us the portfolio and we’ll tell you which companies have real demand they aren’t capturing, and which ones we’d leave alone for now.