Nobody in this study lacked capability. They were experienced operators, most of them a decade or two into senior roles, and they could all do the job. That is worth saying at the start, because almost everything written for this audience is written as though the reader needs convincing they are good enough.
They do not. Of 121 operators coded as transitioning into fractional work, four had tried nothing at all. The rest arrived having already done a great deal, and it had not produced clients.
What follows is what that looks like when every conversation is read and counted.
What this is, and what it is not
405 conversations, recorded with consent between 13 December 2024 and 1 September 2026, all read in full. Not sampled. Not summarised. Each coded against a fixed schema covering how the person arrived, what they wanted, what was in their way, what they had already tried, and what had changed recently enough to make them start looking.
The readers were not told the outcome of any conversation. A second pass, also blind, excluded 110 that were not genuine first conversations - existing relationships, second meetings, peers, partners, failed recordings - leaving 295. Within those, 121 were coded as operators transitioning into fractional work, which is the group most of the detail below comes from.
Three things this is not, stated here rather than at the bottom.
It is not a random sample of the market. These were people who approached No-Nonsense Leadership about their practice. That is a self-selected group, and what it describes is operators who already knew something was not working. Someone whose practice is full is not in this data.
It is not a survey. Nobody was asked a set of questions. The coding is of what people said unprompted, which means the counts are floors rather than totals: somebody who described a problem without using the word is not counted.
And it carries no commercial outcome. These conversations were about whether a programme I run would help. Whether anyone bought it is a fact about my business and not about this market, so it is not on this page and no figure here depends on it. What is here is what experienced operators said about their own practices.
Nobody is named. Patterns are published, people are not.
What they had already tried
The single most useful table in the study, and it is the one that reframes the whole problem.
| Already tried | People, of 121 |
|---|---|
| Courses, coaches, programmes, books, webinars | 46 |
| Working the existing network and former colleagues | 38 |
| Applying for jobs, recruiters, job boards | 28 |
| Posting content on LinkedIn | 27 |
| Agencies, platforms, marketplaces, benches | 22 |
| Website, deck, brand, incorporating | 16 |
| Rewriting the LinkedIn profile | 12 |
| Had tried nothing | 4 |
People appear in more than one row, and the counts are floors.
This is not a market of first-time buyers. Forty-six of 121 had already paid for help - a course, a coach, a programme, a book - and were still describing the same problem. Most could tell you precisely where it had failed them: it taught a method without ever asking who they served, or it produced a plan nobody executed, or it was built for people at a different stage.
That matters for anyone selling into this market, and it matters more for anyone in it. If you are about to buy your second programme, the useful question is not whether this one is better. It is what the last one did not do, and whether the next one does that specific thing.
What was actually in the way
Every conversation was also coded for the single thing most in the person's way. One code per conversation, from a fixed list, chosen by a reader who did not know the outcome.
Be clear what this is and is not. It is the reader's judgement from the transcript, not the person's self-diagnosis. What somebody says is wrong and what is actually wrong are different questions, and only one of them is in this data.
| Most in the way | People, of 295 | Share |
|---|---|---|
| No pipeline | 103 | 34.9% |
| No ICP | 45 | 15.3% |
| Not ready | 38 | 12.9% |
| No clear offer | 33 | 11.2% |
| Money | 27 | 9.2% |
| Wants employment really | 15 | 5.1% |
| Confidence | 15 | 5.1% |
| No real problem to solve | 8 | 2.7% |
| Time | 5 | 1.7% |
| Wrong fit | 5 | 1.7% |
| Other | 1 | 0.3% |
No pipeline is the largest category by a distance, at more than a third. It is also, in most of those conversations, a symptom rather than a cause.
A pipeline is a consequence. It is what happens when enough of the right people already understand what you do. Set that next to the state people arrive in - 113 of 295 could describe a problem and nothing else - and the shape of it is hard to miss. If the people reaching you have not yet worked out that what you do is a thing they could buy, you do not have a volume problem. More outreach makes that worse rather than better, because it points more of the wrong people at something that would not have convinced the right ones.
The second and fourth rows are the ones worth sitting with. No ICP and no clear offer together account for 78 of 295, more than a quarter, and in the conversations they are almost never what the person came to talk about. They had all written something down. Writing it down is exactly what makes it feel finished.
A description feels responsible. A decision feels exposed, because you are ruling people out. So the sentence gets rewritten, comes back slightly different, and the practice stays exactly as invisible as it was.
Two other things the table says quietly. Money is 27 of 295 - nine per cent, which is a long way below where most people would put it. And not ready, no real problem and wants employment really account for 61 between them, better than one in five, which is a reminder that a fair number of people exploring this were not going to build a practice at all, and that is a perfectly reasonable outcome rather than a failure.
The work that feels like work
Look at the bottom of the table. Website, deck, brand, incorporation and profile rewrites account for 28 people between them, and none of it produced demand for any of them.
That work is attractive for a reason that has nothing to do with judgement. It is tractable. It has a finish line. It produces something you can show your partner at the end of the week. And it never once requires you to say a price out loud to somebody's face or to decide, in writing, who you are not for.
Deciding who you are not for does none of those things. It has no finish line, produces nothing to look at, and feels like it costs you options. So it gets postponed indefinitely by people who are otherwise extremely disciplined - which is the actual explanation for a great many stalled practices, and it is not a character flaw. It is a completely rational response to one task being legible and the other not.
The tell is simple. If the work you did this week could have been done by somebody who had never met your buyer, it was probably not commercial work.
The sequence that avoids this - and the reason the order matters more than the effort - is in how to build a fractional practice.
Fluke to Flywheel takes the narrower version of this: what it actually takes to turn one lucky client into something that repeats. It is in the Webinar Vault, free, along with four other replays.
The network was tried first and went quiet
Thirty-eight of 121 had worked their existing network and former colleagues. Second only to buying help, and almost always the first thing attempted.
That is the right instinct. It is also the reason so many practices stall at around the nine to twelve month mark, because a warm network is not a pipeline. It is a finite list, and working it depletes it.
The pattern in the conversations is consistent enough to be worth naming. The first three months produce real conversations, because there is a backlog of people who have been meaning to catch up anyway. Months four to six produce fewer, because the backlog is spent. By month nine the list has been through once, the obvious introductions have been made, and there is no mechanism underneath it that generates anybody new.
What arrives at that point is not a marketing problem, it feels like a personal one. Several people described it in almost the same words: the sense that they had used up their goodwill and got very little for it. They had not used up anything. They had reached the end of a list and mistaken it for the end of a market.
The state people arrive in
Every conversation was coded for how much the person already understood about their own situation when it started.
| On arrival, they | People, of 295 |
|---|---|
| Were ready to act | 18 |
| Knew of a specific option and were assessing it | 90 |
| Knew a solution of this kind existed | 66 |
| Knew only that they had a problem | 113 |
| Neither | 8 |
One hundred and thirteen of 295 - thirty-eight per cent - could describe a problem and nothing else. They knew the practice was not producing. They could not name what was causing it, and they had no vocabulary for the thing that would fix it.
That is the single most common state an experienced operator is in when they finally go looking for help, and it is worth understanding for two separate reasons.
If you are in it: the reason it is hard to fix is that you cannot search for a solution to a problem you cannot name, so the search returns generic advice, which produces the courses and profile rewrites in the table above.
If you sell to this market: the same state on the other side of the table is why a first conversation so often has to do work that content and reputation were supposed to have done already.
Redundancy starts practices and does not build them
Coded for what had changed recently enough to make someone start looking, redundancy is the single largest trigger in the transitioning group - 22 of 121.
It is also the weakest starting position in the study, and the reason is in how those 22 arrived. Seven were coded flat. Two resigned. Two confident. Eight knew only that they had a problem.
A redundancy is something done to you. Being pushed is not the same as having decided, and a practice built on a shove tends to stay in the shape somebody else gave it - which usually means the job title from the role that ended.
The contrast is a clock the person started themselves. Operators who arrived with a runway they had set, a date they had chosen, or a decision they had already made in principle were a much smaller group and a visibly different one: they arrived with the problem already named.
The emotional register on arrival tells the same story from another angle. Across the transitioning group, the distribution was:
| Register on arrival | People, of 121 |
|---|---|
| Curious | 38 |
| Optimistic | 29 |
| Anxious | 19 |
| Flat | 12 |
| Frustrated | 9 |
| Confident | 8 |
| Resigned | 4 |
| Desperate | 1 |
| Embarrassed | 1 |
Curious is the largest single register, and it is worth being blunt about what it is. Curiosity is a state, not an intention. Twenty-four people across twenty months arrived flat, confident or resigned - which in these conversations meant, respectively, that nothing had cost them anything yet, that they had come to test rather than to change anything, and that they had already stopped expecting it to work.
None of that is a judgement about those people. It is a description of a market where the trigger that produces the most arrivals is also the one least likely to produce a decision.
The market is not filling up with new entrants
This is the finding that most contradicts what the category says about itself, and it does not come from these conversations at all. It comes from putting them next to two outside datasets.
The Institute of Interim Management's 2026 survey - the seventeenth edition, and the best UK evidence that exists on this population - shows a market that is ageing, at an average 55.2 years against 54.2 the year before; more tenured, at an average 10.8 years, the highest since tracking began in 2021; and carrying a further one per cent fall in the share who have been in it under a year.
That is not the profile of a market filling with newcomers. It is a market where the same people are staying longer.
Meanwhile the pipeline that feeds new entrants has been running hot. The Office for National Statistics puts the UK redundancy rate at 4.2 per 1,000 employees across 2025, against 3.5 in 2024 and 3.3 in 2023, peaking at 4.9 in the fourth quarter of 2025 - the highest since early 2021 - before falling back to 3.6 in the three months to May 2026.
Put those two next to the trigger finding and the arithmetic is uncomfortable. The trigger producing most of the inflow is the one least likely to produce a practice, and the inflow is not growing the practitioner population, because most of those people do not stay.
The same IIM survey asked about fractional delivery for the first time and found a quarter of last assignments were delivered fractionally. The model is real and it is growing inside an existing population rather than creating a new one. The widely repeated story about a wave of new fractionals is US-shaped, and where it is measured at all it measures job titles rather than income.
Which is good news if you are already in it and prepared to build properly, and bad news if you were counting on the market to expand around you.
What this means if you are in it
Stop grading yourself on effort. The people in this study were not lazy. Four of 121 had tried nothing. The problem is almost never how much work is being done; it is that the work with a finish line crowds out the work with a decision in it.
Audit what you have built against one question. Did I build this from a real buyer, or from the job I used to have? Most people, asked that directly about their own ICP, offer and profile, already know the answer.
Treat the network as a starting balance, not an engine. If your pipeline came from people who already knew you, it will thin out somewhere around month nine, and that is a structural fact rather than a reflection on you or on them.
Name the problem before you shop for a solution. Thirty-eight per cent of the people here could not, and it is why the search returns courses and profile rewrites. A problem stated precisely enough - "my pipeline only moves when I am actively working it, and it stops the moment I am delivering" - narrows the search dramatically.
And be honest about your trigger. If you are here because a role ended rather than because you decided, the first thing to fix is not the website. It is whether this is the thing you are doing, or the thing you are doing until something else turns up. Everything downstream depends on which.
Frequently Asked Questions
Why do fractional practices stall?
Almost never through lack of capability. In 121 conversations with operators transitioning into fractional work, only four had tried nothing at all. Forty-six had already paid for courses, coaches or programmes. Thirty-eight had worked their existing network until it went quiet. Twenty-eight had built a website, a deck, a brand or a company structure. The common factor is not inaction, it is that the work being done is visible rather than commercial.
What have most fractional consultants already tried before they ask for help?
Of 121 operators coded as transitioning, 46 had paid for courses, coaches, programmes, books or webinars; 38 had worked their existing network and former colleagues; 28 had applied for jobs or approached recruiters; 27 were posting content on LinkedIn; 22 had tried agencies, platforms or talent benches; 16 had built a website, deck, brand or company; and 12 had rewritten their LinkedIn profile. Only four had tried nothing.
Is the fractional market filling up with new entrants?
The UK evidence says the opposite. The Institute of Interim Management's 2026 survey shows the population ageing, at an average 55.2 years against 54.2 the year before, more tenured at an average 10.8 years, the highest since tracking began in 2021, and with a further fall in the share who have been doing it under a year. That is a market where the same people are staying longer, not one filling with newcomers.
Does being made redundant make someone more likely to build a fractional practice?
It makes them more likely to start and less likely to commit. Redundancy was the single largest reason operators in this study began looking, accounting for 22 of 121 in the transitioning group. Of those 22, seven arrived flat, two resigned, two confident and eight knew only that they had a problem. A redundancy is something done to you, and being pushed is not the same as having decided.
What is actually stopping most fractional consultants?
Coded blind across 295 conversations, the single thing most in the way was: no pipeline in 103 cases, no ICP in 45, not ready in 38, no clear offer in 33, money in 27, wants employment really in 15, confidence in 15, no real problem in 8, time in 5, wrong fit in 5. No pipeline is the largest by a distance and is usually a symptom rather than a cause, because a pipeline is what happens when enough of the right people already understand what you do.
How long does it take to build a fractional practice?
Longer than most people plan for, and the reason is visible in what they have already tried. Most operators in this study had spent months on work that produces something to look at rather than something that produces demand: a website, a deck, a rewritten profile. The foundations themselves take two to four weeks of focused effort, but testing whether they are right takes six to ten weeks of active pipeline after that.
How was this study built?
Every conversation between 13 December 2024 and 1 September 2026 was recorded with consent and retained - 405 in total. All were read in full, not sampled and not summarised, and coded against a fixed schema by readers who were not told the outcome. A second pass, also blind, excluded 110 that were not genuine first conversations, leaving 295. These were people who had approached No-Nonsense Leadership about their practice, so the sample is self-selected: it describes operators who knew something was not working.
Where to go from here
Everything in this study points the same way. The operators in it were capable, they were working hard, and most of what they had built was built in the wrong order or from the wrong starting point - usually the job title that had just ended rather than a buyer they had decided on.
That is fixable, and it is fixable in a sequence. The order a practice gets built in covers all five steps and why each one depends on the last, and the ICP article is where it starts.
The State of Fractional Consulting is free and it goes deeper on this. It carries the same argument in a different form: seven mistakes that keep good operators at the wrong level, each with what it looks like from the inside, why it happens, and the fix. Plus the market evidence from seven countries that explains why the opportunity is real even when your pipeline says otherwise.
If you would rather install the whole model than reverse-engineer it - ICP, offer, profile, pipeline and price, in order - the Fractional Formula does it in six weeks. Findings from this study go out first in Fractionally Thinking, every Friday.
