A PE-Backed Company Cut Marketing From 12 People to 3. Then Had Its Best Six Months Ever.

That sequence sounds contradictory on paper. It isn't, once you understand what actually changed in between.

Private equity has spent years treating pipeline as an execution problem: something a marketing team either does well or doesn't, and something you can trim in a cost-cutting pass without much consequence beyond a quarter or two. That model made sense when headcount and pipeline output were tightly linked. It stops making sense the moment AI-enabled growth systems break that link, which is exactly what's happening right now across a growing number of PE-backed portfolios.

The stakes for getting this right have also gone up. Bain's Global Private Equity Report 2026 puts it plainly: deals that once needed 5% annual EBITDA growth to hit a 2.5x return over five years now need closer to 10-12%, because multiple expansion and cheap leverage, the two levers that used to do most of the work, have largely disappeared. Growth is now the input, which makes it a strange time for so many portfolio companies to still be treating their marketing function as a discretionary cost line.

We sat down with our co-founders Stuart Dale and James Ford to talk through what's replacing that old model, ahead of our webinar, The Portfolio Pipeline Blueprint for PE-Backed Growth. Here's what came out of that conversation.

What actually happened when the team went from 12 to 3

The case in question involves a fund with over $10 billion in assets under management. One of its portfolio companies had gone from a marketing team of 12 down to 3, and over the following six months, pipeline took a serious hit. That part of the story is unremarkable. Cut 75% of a marketing function and pipeline typically suffers; nobody in PE is surprised by that outcome.

What happened next is the interesting part. Rather than rebuilding the headcount, the business implemented a growth system built around AI-enabled workflows, and the following six months became the most successful in the company's history, measured in millions of pounds of pipeline generated. Not by pretending the team cut never happened. By replacing the execution layer that a 12-person team used to provide with something that didn't require rehiring to that scale.

The four-part system behind it

The framework underneath this isn't complicated, and that's somewhat the point. It runs in four stages:

Audience: understanding precisely which accounts, contacts, and personas you're trying to win market share from, rather than marketing broadly and hoping for relevance.

Story: deciding what you actually want to be known for. AI has made producing content trivially easy, which raises the bar on what's worth saying, not lowers it.

Campaigns: building the output using AI where it adds speed, and knowing exactly where a human still needs to be involved, particularly anywhere trust or nuance is on the line.

Execution: a multi-channel, multi-format system, focused entirely on performance outcomes that previously required a team of 10 to 15 people, now run through a single platform.

None of these stages is revolutionary in isolation. What changes the outcome is running all four as one connected system rather than as separate initiatives owned by different people who may or may not still be on the team.

Why this has to be a portfolio-level fix, not a company-by-company one

Most PE funds already know they have a high performer somewhere in the portfolio: a business consistently outpacing the others on growth, and everyone quietly wishing the rest of the portfolio did the same. Replicating that performance across a portfolio used to mean hiring, training, and waiting, often for longer than a hold period comfortably allows.

An analysis layer built to score marketing effectiveness per head, tracking both the volume and quality of output across a portfolio, changes that. It lets a fund see, company by company, whether the gap is a volume problem or a quality problem, and it turns "replicate our best-performing investment" from a multi-year people project into something closer to a configuration exercise. It also means a fund isn't just watching its own portfolio in isolation. The same lens shows how each company is tracking against its actual competitors, which is the number that ultimately determines whether market share is being won or quietly ceded.

The loneliest job in PE-backed marketing

There's a specific and increasingly common scenario worth naming directly: a portfolio company brings in its first-ever CMO, and that CMO discovers she has no team to lead. One case involved exactly this. A marketer who had previously run a 13-person function end-to-end was now solving the same remit alone, tasked with fixing a leaky pipeline and revenue operation from scratch.

The fix wasn't handing her more software to operate by herself. It was surrounding her with a fully managed service, staffed by people with real B2B marketing backgrounds, so she had strategic support deciding where to focus and how to deploy campaigns, without needing to rebuild a department to get there. The result was over $2.5M in marketing-led pipeline and MQL targets exceeded for the half, generated by a team that was, on paper, a single person.

The mistake killing most attribution models

Ask what's actually broken in most of these businesses before a fix goes in, and the answer is rarely creative or channel-related. It's structural: an attribution model for marketing that's disconnected from sales, which leaves everyone, including the fund, blind to what's actually working. Teams report MQLs. Sales cares about SQLs and revenue. When those two systems don't talk to each other, "is marketing working" becomes a question nobody can answer with any confidence, regardless of how much content is going out the door.

The fix is less about better dashboards and more about a change in what gets optimized for in the first place: every activity judged by the revenue outcome it eventually produces, not the volume of top-of-funnel metrics it generates along the way.

Why the buyer journey shift makes this urgent right now

Two years ago, a marketing team spending six months producing a report or planning an event was completely normal. Reports that took months now take LLMs seconds, which means the parts of marketing that used to be a moat, purely because they were slow and expensive to replicate, are now available to anyone. The advantage has to come from somewhere else: from content that's undeniably human, built on insight or experience nobody else has access to, not from being the only business capable of producing a polished asset.

The buyer's side of this has shifted just as sharply. Buyers increasingly research using tools like ChatGPT and Claude before ever speaking to a salesperson, arriving at conversations more informed than the rep sitting across from them, at the very end of a buying decision rather than the start of it. Search behavior is changing in step with this: Pew Research's analysis of nearly 69,000 Google searches found that when an AI-generated summary appears above the results, users click through to a traditional result only 8% of the time, against 15% when no summary is shown. The traffic that paid and organic search used to reliably deliver is quietly drying up, which means visibility increasingly has to come from somewhere else entirely: YouTube, podcasts, Spotify, and the kind of short-form content that both people and LLMs are now pulling answers from.

What to expect in the first 30, 60, and 90 days

Value creation plans typically take months to show results. The claim being made here is more specific: a growth engine that starts delivering ICP-qualified pipeline within 30 days, tracked through leading indicators that build in sequence, engagement, web visits, and campaign activity first, then meetings booked and qualified pipeline, and ultimately revenue. Not a promise that the whole plan lands in a month, but that the earliest signals of whether it's working show up fast enough to know if it's the right approach before a quarter, or a hold period, gets away from you.

If pipeline is genuinely a portfolio-level lever rather than an isolated, company-by-company fix, that's the shift worth paying attention to going into the next few years of PE-backed growth.

We go into a lot more detail on this in the complete session.

Watch the full webinar recording →