Rob Leon writes about how managed service providers can design their business, pricing, and services, including practical ways to use AI in small MSPs.
Rob Leon writes about how managed service providers (MSPs) can shape their businesses around customer outcomes instead of copying a standard org chart or chasing growth for its own sake.
Their work covers pricing, service design, client numbers, and practical AI adoption for small MSPs.
In one essay, they compare the very different businesses implied by serving a few large clients or hundreds of smaller ones; in another, they argue that an MSP should test a distinct offer for a specific customer rather than assume its existing prices define what the whole market will pay.
Their AI advice is similarly grounded: start with one recurring task that still depends on the owner, turn it into a repeatable workflow, and hand it off.
Read Leon for practical arguments that connect business choices to operational consequences, not just tool recommendations.
Leon turns broad MSP debates into concrete design questions.
Rather than ask whether an MSP should hire a particular role, they ask what work and customer outcomes the business must deliver.
Rather than treat client count as a growth target, they show how pricing and contract size shape the company an owner is building.
Their advice allows for exceptions: a high-volume, standardized SMB provider and a smaller, higher-value MSP can both be sound models, while AI operations may suit some firms but not others.
This focus on tradeoffs and experiments gives readers practical ways to assess client economics, test a differentiated service, or tackle one owner-dependent task before making a larger change.
Rob Leon writes for managed service providers about designing the business rather than adding to it.
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Their arguments return to a few connected claims: the number of clients an MSP needs follows from its revenue target and contract value, not an industry norm; most price sensitivity is really offer sensitivity, because buyers compare undifferentiated services on price; the org chart should follow the product instead of copying benchmarks from larger providers; AI at a small MSP should start with work only the owner can do; and across every technology wave, the business remains the product, not the tool.
Client count is a design decision, not a sales target
Leon argues that the number of clients an MSP needs depends on its revenue target and what each client pays—and that the answer determines what kind of company it can be.
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A provider built on a few large contracts needs a different sales engine, staffing model, and service system from one built on hundreds of small accounts.
Their warning: don’t choose small-business economics while expecting enterprise-scale structure and outcomes.
A $2 million MSP with healthy margins and low owner dependence can be a better business than a larger, more complex one.
Rob Leon describes a former employer with 12 clients producing $5 million in annual recurring revenue—about $35,000 per month per client—with 20 employees.
At $2,000 per month per client, reaching $100 million would take roughly 4,167 clients; at $50,000 per month, around 167.
They name three deliberate paths: a small, profitable MSP with 40 to 100 well-selected clients; an SMB service machine built on volume and standardization; or a move upstream to larger organizations.
Leon disputes the idea that MSP customers simply won’t pay more.
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Customers compare undifferentiated offers on price, they argue, so weak differentiation makes price look like the truth and creates a self-validating loop: the MSP prices for price-sensitive buyers, then attracts only buyers who shop on price.
Their approach isn’t to raise the price of the same service, but to build a deliberately different offer for a customer the owner understands unusually well, then price that offer.
Some existing customers won’t follow; Leon treats that as expected, not a failure.
The opening case is an MSP owner charging $125 per user who treats the response to his current offer as proof of what the market will bear.
Leon separates the two, reframing the test from “will someone pay $175 for the same thing they bought for $125?” to “will this particular customer pay for a service designed around the problems they care about?”
In their short posts, Leon makes the same point from the buyer’s side: when a prospect picks a cheaper competitor, price was probably just the easiest way to compare.
Rob Leon describes building an MSP to resemble an internal IT department—with a help desk, projects, engineering, managers, and defined handoffs—and argues that this design no longer fits what technology now allows.
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Benchmarking questions about dispatchers, service managers, project managers, and vCIOs measure organizational structure rather than customer value, yet harden into “best practices.” Leon proposes starting with the simplest repeatable system that delivers outcomes clients actually pay for, then deciding which work to automate, where specialist expertise is needed, what belongs with partners, and which roles the team needs.
Rob Leon grew the internal-IT-style company past $15 million in revenue before concluding the model was right for its time.
The outcomes they say clients buy are answers to questions like “can my people work,” “can I trust my technology,” and “can I stop thinking about IT”—not the department that owns Microsoft 365.
In this framing, AI doesn’t replace departments; it automates tasks, decisions, and workflows, shifting an engineer’s value from gathering information toward interpreting it.
AI should start with the work the owner cannot hand off
Rob Leon is skeptical of company-wide AI rollouts at small MSPs, where the owner is already doing too much and most staff are dependable problem-solvers rather than inventors.
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They argue that an AI strategy can’t depend on turning the team into AI people; a realistic starting point is recurring work that keeps returning because “only I know how to do that.”
Their sequence: do the task with AI, notice what context and questions make the output useful, turn it into a repeatable workflow, then hand it to someone else.
The deeper effect, Leon says, is encoding how the owner thinks so other people can work inside a better system.
Rob Leon lists the work they mean: reviewing escalated tickets, writing project updates and proposals, analyzing reports, drafting client responses, and deciding how a ticket should be handled.
They outline a six-step process, starting with listing five things that return weekly because only the owner can do them, then picking one.
Leon also notes that AI doesn’t instantly replace twenty years of judgment; one possible use is to feed it the ticket, the environment, and what’s known, then ask which questions are missing.
Across the industry’s shifts—from servers to cloud, security, and AI—Leon argues the lesson repeats: technology and vendors change, while the value remains in helping businesses operate better.
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In the AI governance debate, they ask who decides what data AI can access, what employees may upload, which tools are approved, and who reviews AI-generated work.
The client owns those decisions, not Microsoft, OpenAI, or Anthropic.
Many small businesses, Leon says, have technology but not governance; AI simply made existing permission and data-ownership problems visible.
Rob Leon contrasts MSPs that ask which tool to sell, which platform to learn, and which certification to get with those that ask what business problem they solve and what outcome they own.
Because AI ownership is shared—the client holds the knowledge, process, decisions, and risk—they argue that AI operations may matter more than AI implementation, and that moving that far into a client’s workflows is a different business from traditional managed services.
Leon is clear that the original MSP model wasn’t wrong and not every MSP needs to take this path.
In shorter LinkedIn posts, Leon distills the design-first position into a principle: IT’s job isn’t to stop people from making mistakes but to design systems where mistakes are hard to make.
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They call this “Vibe IT”—freedom through structure, empowerment through design—and distinguish doing IT from designing how IT should be done.
One post says anyone can deploy tools but few can design systems, and that the MSP of the future architects trust rather than manages technology. Another announces the “Vibe IT” idea and points to the article where the shift is explained in more detail.
Answers the question new readers usually arrive with — how many clients does an MSP actually need? — and shows the revenue math behind that choice before recommending anything.
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Rob Leon opens with a past employer: an MSP with 12 clients producing $5 million in annual recurring revenue, roughly $35,000 per month per client, run by 20 employees.
From there, the piece works through what different contract values can support.
At $2,000 per month, reaching $100 million would take about 4,167 clients; at $10,000 per month, around 833; at $200,000 per month, roughly 42.
The argument is that these are not the same company at different prices, and that client count is a design decision, not a sales target.
Leon names three ways to build deliberately: a small, profitable MSP with 40 to 100 well-selected clients, an SMB service machine built on volume and standardization, or a move upstream to larger organizations.
The recurring warning: don’t choose small-business economics while expecting enterprise-scale structure and outcomes.
For brands planning a campaign
A natural spine for a session on client count versus revenue design: have the owner state a target revenue, divide it by their real average contract value, and see which of the three models the result implies. A vendor selling growth or automation tools can anchor the conversation in Leon’s point that different models need different sales engines, staffing, and service systems.
Answers why "our customers are price sensitive" is often a conclusion drawn from selling an undifferentiated offer, and gives a concrete way to test a higher price without betting the existing business.
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The piece starts with an MSP owner charging $125 per user who treats customers’ response to the current offer as proof of what the market will bear.
Leon separates the two, then unpacks four bundled fears: losing customers, trusting years of local market experience, believing IT support has become a commodity, and the identity risk of narrowing what you sell.
They describe a self-validating loop — customers are price-sensitive, so you price competitively, so you attract customers who shop on price.
The method they propose is not raising prices on the same service, but running one deliberately different offer for a customer you understand unusually well, then pricing it.
The buyer’s comparison set shifts from "the same thing for less" to a service built around a specific problem.
For brands planning a campaign
Useful as a pricing and positioning exercise: pick one customer segment, define a narrower offer, and price it while the existing business keeps running. The framing also explains why prospects choose a cheaper competitor: not necessarily because they are price-sensitive, but because they have nothing else to compare.
Explains why copying a larger provider’s org chart can misdirect a small MSP, and reconnects staffing and structure decisions to what clients actually buy.
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Leon describes entering the MSP industry with a partner who had moved from enterprise IT sales to the SMB market, while Leon came from Motorola and understood operations.
They modelled the company on an internal IT department — help desk, projects, engineering, managers, defined handoffs — and grew it past $15 million in revenue.
The piece argues that common benchmarking questions about dispatchers, service managers, and vCIOs measure organizational structure, not customer value, and that structure then hardens into "best practice."
The alternative: start from the simplest repeatable system that delivers outcomes like "can my people work" and "can I stop thinking about IT," then decide what is automated, what needs expertise, and what roles exist.
Leon notes that AI does not replace departments but automates tasks and decisions, shifting engineers from gathering information to interpreting it.
For brands planning a campaign
Good material for a session on restructuring around client outcomes rather than peer benchmarks, and a bridge to AI adoption, where the same work-first reasoning applies.
A practical starting point for a small MSP owner who has been told to become AI-powered but has no capacity for a company-wide rollout.
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Leon pushes back on the assumption that AI adoption works like software adoption: buy the tool, train the team, everyone gains 30 percent productivity.
In a small MSP, they write, there is no spare person waiting to become the AI transformation lead, and most staff are dependable problem-solvers rather than inventors.
The recommendation is to start with work that still depends on the owner — reviewing escalated tickets, writing proposals, preparing project updates, analyzing reports — then follow a simple sequence: do it with AI, turn it into a repeatable workflow, hand the workflow to someone else.
Leon gives a six-step version of that process and notes that after doing a task with AI around fifty times, the owner is really encoding how they think, making the workflow teachable.
For brands planning a campaign
A good outline for a hands-on session: the owner lists five things that still route back to them each week, picks one, and builds and hands off a workflow. It also offers a useful counterweight to campaigns about a full AI rollout that assume an owner can absorb it.
Frames the current AI question as a business-model question rather than a tool-selection question, setting up much of Leon’s other work.
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Leon traces the MSP industry’s shifts from servers to cloud to security to AI, and argues that the lesson repeats: the technology changes, but the underlying business question does not.
They use the Copilot-versus-ChatGPT governance debate as an example, asking who decides what data AI can reach, who approves tools, and who reviews output.
The answer is the client, not the platform vendor.
Their sharper point is that many small businesses have technology but not governance, and AI has made an existing permissions and ownership problem visible.
Because AI ownership is shared, with the client holding the knowledge, process, and risk, they argue that AI operations may matter more than AI implementation — and that moving this far into a client’s workflows is a different business from traditional managed services.
For brands planning a campaign
Useful for positioning an advisory session around business-model choices — which outcome the MSP owns and which the client owns — rather than another tool recommendation. It also supports the case for governance work as a legitimate, saleable service line.
The shortest entry point into Leon’s pricing argument: readers can check in a few seconds whether the idea is worth pursuing in the longer essays.
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A short post making one point: if every MSP looks the same to a buyer, the lowest price wins.
Leon’s correction is that customers may not be sensitive to price at all — they may be sensitive to the offer, meaning the fix is to give them something other than price to compare.
A companion post makes the same argument from the buyer’s side: when a prospect picks a cheaper competitor, it usually means price was simply the easiest way to compare the two.
For brands planning a campaign
A quotable hook for opening a pricing conversation, and a quick test of whether the underlying idea resonates before committing to a longer working session.
Recurring format and a consistent commercial position11
Price sensitivity is usually offer sensitivity3
Sizing an MSP: client count as a design decision2
AI should start with the work the owner cannot hand off2
Vibe IT: designing systems where mistakes are hard to make2
The org chart should follow the product1
Technology is not the product; the business is1
Sizing an MSP: client count as a design decision
Rob Leon argues that the number of clients an MSP needs depends on its revenue target and average contract value, not an industry norm.
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They work through the arithmetic: at $2,000 per month per client, $100 million in annual recurring revenue would take roughly 4,167 clients; at $50,000 per month it would take about 167.
They draw on a former employer that had 12 clients and $5 million in recurring revenue — about $35,000 per month per client with 20 employees.
Their conclusion: a company built on many small accounts and one built on a few large ones are different businesses, needing different sales engines, staffing, service systems, and management layers.
Work backward from a desired revenue figure to the number of clients required at a stated average contract value, then check whether the sales, staffing, and service model actually fits that shape.
Rob Leon treats small-business economics as a feature rather than a failure, arguing that a $2 million MSP with healthy margins and low owner dependence can be a better business than a larger, more complex one.
For brands planning a campaign
A brand selling to MSP owners can build content or a workshop around a client-count and contract-value worksheet. The framework gives the audience a specific exercise instead of a growth slogan, making it a good fit for a session on client-count versus revenue design.
Leon disputes the common conclusion that MSP customers simply will not pay more.
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Their opening example is an owner charging $125 per user who treats the response to that offer as the limit of the market.
Leon separates four fears bundled into pricing decisions — losing customers, trusting market experience, commodity thinking, and identity risk — and argues that buyers compare undifferentiated offers on price, so weak differentiation makes price look like the truth.
Existing customers, they say, are not the whole market; a self-validating loop forms when an MSP prices for price-sensitive buyers and then attracts only those.
Keep the existing business running and build one deliberately different offer for a segment the owner understands unusually well. Price that offer and test whether that kind of customer will pay for a service designed around a problem they care about.
Rob Leon accepts that some existing customers are genuinely price sensitive, will not follow the new model, and are not a fit for the business being built.
For brands planning a campaign
Position a campaign or session around the question "more for what?" — a differentiation and offer-design exercise rather than a price-increase pitch. That framing lets a brand be useful without promising customers will pay more for the same service.
Leon describes building an MSP to resemble an internal IT department — help desk, projects, engineering, managers, defined handoffs — and growing it past $15 million in revenue, then argues that design no longer fits.
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Benchmarking questions about dispatchers, service managers, project managers, and vCIOs, they say, measure organizational structure rather than customer value.
Leon asks what simplest repeatable system delivers the outcomes clients actually pay for, and only then which work should be automated, specialized, partner-delivered, or staffed in-house.
They add that AI does not replace departments; it automates tasks, decisions, and workflows.
Start from customer outcomes — can my people work, can I trust my technology, can I stop thinking about IT — and design the delivery system before deciding which roles the team needs.
Rob Leon is explicit that the original MSP model was not wrong; it solved the problems of its time, and the change is in what technology now allows.
For brands planning a campaign
Useful for brands whose products promise efficiency or managed outcomes: it gives them a way to frame the conversation around delivered results and units of work rather than headcount or tooling.
AI should start with the work the owner cannot hand off
Leon is skeptical of company-wide AI rollouts at small MSPs, where the owner is already doing too much and staff are dependable contributors rather than inventors.
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They start with the recurring work only the owner can do: reviewing escalated tickets, writing project updates and proposals, analysing reports, drafting client responses, and deciding how a ticket should be handled.
Leon proposes using AI on that work, noticing what context and questions make the output useful, capturing it as a workflow, and then handing the workflow to someone else.
They also note that AI does not instantly replace twenty years of judgment; it shifts an engineer's value from gathering and processing information toward interpreting it and making decisions.
Do the task with AI, turn it into a repeatable workflow, then give the workflow to another person. Rob Leon lays this out as a six-step list and suggests listing five weekly tasks that recur because "only I know how to do that," then picking one.
For brands planning a campaign
This is a ready-made pilot exercise a platform or services brand can sponsor: attendees leave with one identified task and the context, prompts, and steps captured around it. It also supports content aimed at owner-operators rather than enterprise IT teams.
Leon argues that every technology wave — servers, cloud, security, AI — teaches the same lesson: the technology changes, and the value stays in helping businesses operate better.
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In the AI governance discussion, they ask who decides what data AI can access, what employees may upload, which tools are approved, and who reviews AI-generated work.
Their answer: the client owns those decisions, not Microsoft, OpenAI, or Anthropic.
Many SMBs, they say, have technology but not governance, and AI simply made existing permission and data-ownership problems visible.
Leon contrasts MSPs that ask which tool to sell with those that ask what business problem they solve and what outcome they own.
For brands planning a campaign
A position for brands whose pitch is operational rather than tool-based. It supports content about governance, ownership, and AI operations instead of feature comparisons, and lets a vendor talk about the client's process without claiming the platform supplies it.
Vibe IT: designing systems where mistakes are hard to make
In shorter LinkedIn posts, Leon argues that the job of IT is not to stop people making mistakes but to design systems where mistakes are hard to make — "freedom through structure" and "empowerment through design."
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They distinguish doing IT from designing how IT should be done, and say the MSP of the future architects trust rather than manages technology. The posts compress the same design-first position and generally point readers toward a longer article in Leon’s newsletter.
For a detailed method, ask for a worked example: these posts state the principle but do not show readers how to apply it step by step.
For brands planning a campaign
A lightweight hook for social amplification or a session opener on systems design. Pair it with a longer article when the audience needs the substance behind the phrase.
Recurring format and a consistent commercial position
The Substack pieces are long, use a short "Hi, I'm Rob" framing, numbered breakdowns and worked numeric examples.
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They close with a standing block offering three things: a weekly newsletter, MSP strategic advisory for owners, and ecosystem advisory for vendors, founders and investors building in the MSP market.
LinkedIn posts compress the same arguments into a few lines and frequently point to a new article.
Across these posts, the stated subject is consistent: MSPs, productized services, and why trying to do everything creates a harder business.
No publication dates are shown with these posts, so no chronological trend or shift over time can be claimed from these posts.
For brands planning a campaign
Recurring advisory lines show where commercial contact points sit. The pattern of turning long articles into short posts suits a sponsorable link-out from a brief social post to a longer explainer.
Leon writes and publishes The MSP Playbook, a Substack newsletter, and uses it to offer MSP Strategic Advisory and MSP Ecosystem Advisory services to MSP owners.
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They cite Motorola as the employer they came from before entering managed services, where they say they learned operations.
Leon also describes earlier MSP leadership roles—one at a company with 12 clients and about $5 million in recurring revenue, another at a company that grew past $15 million—but does not name those businesses.
Technology names in their writing, such as Microsoft 365, Copilot, ConnectWise, and ChatGPT, are examples in their arguments rather than commercial relationships.
The MSP Playbook
Owned business
Leon's Substack newsletter features weekly posts on MSP business design, pricing, productized services, and AI use in small MSPs.
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Each post ends with a subscription prompt and two advisory offers: MSP Strategic Advisory for MSP owners and MSP Ecosystem Advisory for vendors, founders, and investors in the MSP market. Leon describes the newsletter as a writing venue rather than a client engagement.
Rob Leon writes for people who run managed IT service businesses, and the work comes in two layers.
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The long newsletter essays do the real work: they open with a case or question from an MSP owner, work through concrete numbers or a list of fears, and end with a named path or exercise.
Short LinkedIn posts compress the same argument into a few lines and usually point back to the full article, making them signposts rather than standalone pieces.
Start with the essays on client-count and revenue math and pricing; they carry the worked examples.
The AI posts and the short design principle they call "Vibe IT" are easier to place once that groundwork is in.
Readers looking for the method rather than the argument should seek out the numbered step lists — the six-step small-MSP AI start and the three legitimate MSP growth paths — which come closest to something they could run inside their own business.
MSP business designMSP growth economicsPricing and differentiationAI adoption in small MSPsIT governanceSystems designProductized servicesLong-form newsletter essaysLinkedIn postsWorked numeric examplesMSP ownersIT service providersMSP vendors and investors
Nicole Livermore
Both writers explain business decisions through the economics beneath them, not the tactics on the surface.
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Livermore argues that a promotion can convert well and still be a bad growth decision once tariffs, landed costs and thinner contribution margins are factored in. Leon makes a similar point: a price buyers refuse to pay does not prove what the market will pay.
Livermore writes for retail and ecommerce brands about promotion economics and how customers now find businesses through AI search. Leon writes for IT service providers about how to design, sell and staff the whole service business.
Søttrup challenges the default metric in much the same way.
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They argue that contract value shows how important a customer is to you, while workflow depth shows how important your product is to them. Leon argues that the number of clients an MSP needs is an output of its model, not a target worth chasing for its own sake.
Søttrup writes from inside a SaaS customer-success function about onboarding, implementation depth and retention risk. Leon writes as an MSP market adviser about pricing, org structure and business-model choice.
Munawar reaches a similar conclusion about tactics.
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They argue that mass cold outreach fails consultants because it arrives without context, and that effective outreach depends on who you serve, what problem you solve and how you differ. Leon argues that weak differentiation makes price look like the truth.
Munawar's audience is independent consultants, and the podcast is built around client stories. Leon writes essays and short posts for MSP owners and the vendors and investors around them.
For a campaign aimed at a managed IT services company sharpening its growth and pricing model — Rob Leon's reach is small and documented in only one place: 3,457 LinkedIn followers as of 8 October 2026.
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No Substack subscriber count is published, and no per-post reach, engagement, or audience survey is mentioned in Rob Leon's posts.
The information in the posts therefore supports a modest, senior-operator play rather than a broad reach buy: treat Leon as a source of pointed arguments aimed at MSP owners, not as a channel for scale.
What the posts do show is a tight and consistent subject focus.
Across Rob Leon's posts from October 2025 to October 2026, the writing returns to the same handful of owner-level decisions: how many clients a given revenue target requires, why undifferentiated offers get compared on price, whether an MSP's org chart should follow its product, and how a small MSP can start with AI without company-wide rollout.
That is close to the subject matter of a campaign aimed at a managed IT services company sharpening its growth and pricing model, which makes the fit plausible.
It is not information about who is reading.
Consistent topic does not measure audience composition, job titles, or buying authority, and the follower figure alone tells a buyer nothing about seniority, company size, or geography.
The practical next step is to ask Leon for recent platform analytics — impressions and engagement on the client-count and pricing posts specifically, plus the current Substack subscriber number and any reader survey Leon holds — and to compare those against whatever reach the alternative candidates produce before committing budget.
If a survey or audience export is available, ask whether it covers employer type, job role, and firm size, since those are the attributes a campaign aimed at a managed IT services company sharpening its growth and pricing model actually needs and none of the information in Rob Leon's posts measures them.
Rob Leon’s posts don’t describe sponsorship packages, sponsored placements, or advertising formats for their channels.
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They do document three commercial offers at the end of each Substack article under “Three Ways I Can Help You”: a weekly newsletter subscription, MSP Strategic Advisory, and MSP Ecosystem Advisory.
The subscription is free; the other two are paid engagements.
For a brand, vendor, or agency planning spend around this name, MSP Ecosystem Advisory is the relevant route: it explicitly targets vendors, founders, and investors building or investing in the MSP market, the same market the writing addresses.
The posts provide no rate card, availability, deliverable specification, lead time, audience guarantee, or contact route.
Agree the engagement’s scope, price, and output directly.
MSP Strategic Advisory
Buyer requirement
Bring a live, owner-level MSP problem: simplifying the service catalogue, sharpening positioning, or planning the next stage of growth.
This is a working advisory relationship, not a media buy.
Rob Leon’s posts don’t specify a deliverable format, duration, or price; agree those terms directly.
MSP Ecosystem Advisory
Buyer requirement
The buyer is a vendor, founder, or investor building or investing in the MSP market.
This is the closest documented fit for a brand or agency because it focuses on the MSP market itself, rather than individual MSP operations.
It offers advisory input.
Rob Leon’s posts don’t describe sponsored content, paid speaking, product placement, or audience distribution, so buyers seeking those should raise them explicitly.
A managed IT services company wants to sharpen its growth and pricing model, and asks whether Rob Leon is the right person to lead a session on client-count versus revenue design.
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Reasons
The decision at the centre of the brief is the one Leon writes about most. The essay on client count works backward from a target revenue figure to the number of clients required at a stated average contract value, and lays out the arithmetic at several price points. That is a session outline already written.
They supply the exercise the brief is missing. A session on revenue design needs a worksheet, not a slogan, and the pricing essay gives one: keep the existing business running, build a single deliberately different offer for a customer the owner understands unusually well, price it, and test whether that kind of customer will pay for a service built around a problem they care about.
They reframe the most common obstacle in this exact conversation. The recurring claim that MSP customers will not pay more is, in their argument, usually a conclusion drawn from selling an undifferentiated offer; buyers compare interchangeable offers on price. That gives a room of owners something to examine rather than a reason to defend their current rate card.
A documented commercial route already exists for this kind of brief. The advisory offer attached to every essay targets MSP owners simplifying the business, sharpening positioning, and building for the next stage of growth — the same owner-level problem the brief describes.
The constraint is audience information, not subject. The only measured figure is 3,457 LinkedIn followers observed on 8 October 2026. No Substack subscriber number, per-post reach, engagement figure, or audience profile is published. Treat this as an expert-led engagement and settle reach expectations directly rather than assume distribution.
Limits
No session format, past speaking engagement, or recorded working session appears in the posts. Ask whether Leon has led a session like this before.
The fit rests on subject alignment and the documented advisory offer, not measured reach to MSP owners.
Verdict
Strong subject fit, but a small, thinly measured audience: this suits a working session or advisory relationship rather than a reach buy.
When to choose a specialist
A cloud data-protection vendor wants a paid, high-reach sponsored content series aimed at small and midsize business owners generally, bought and judged on impressions and click-through.
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Reasons
The audience in the writing is MSP owners making business-model decisions. The vendor wants to reach small or midsize business owners choosing a data-protection product. Those are different people with different decisions, and the writing consistently addresses the first group.
Data protection is not a subject in the reviewed work. Backup and security appear once, in a list of the platforms a traditional MSP owns, as examples of what clients hand off. No post develops backup, recovery, or data-protection choices as a topic a reader could act on.
No sponsorship package, sponsored placement, media kit, rate card, or audience-distribution format appears in the posts. Ask whether a high-reach placement is available; the material does not establish that sponsorships are never accepted.
An impressions-based judgment has nothing to stand on. Reach is represented by one follower figure on one platform, with no engagement, impressions, or audience composition data. The vendor's success measure cannot be evaluated against the available information, regardless of how well the series might be written.
The mismatch would remain even if the audience were larger. Their material argues against treating technology as the product and toward owning a business outcome, which runs against a campaign built around product awareness and impression volume.
Limits
If the vendor reframed the brief around MSP channel partners and an advisory or co-marketing relationship, the same evidence would point toward a better outcome. The rejection applies to the reach-and-impressions version of the brief as written.
Verdict
Poor fit on buyer, subject, and measurement all at once — not merely a scale problem.
A worked campaign example
Brand role
The sponsoring brand pays for the session and attendee worksheet, and appears as the practical side of the exercise — for example, as the tool or service that supports the model an attendee chooses. Leon carries the arguments and framing; the brand should not present a product comparison, because the writing focuses on business-model choices rather than tool selection.
Known gaps
Confirm expected attendance directly; the published material does not support a forecast.
The short social posts carry no publication dates, and no video, podcast, or interview transcripts are available, so the session cannot lean on a track record of spoken or recorded formats.
Ask whether Leon runs sessions at all before booking; the format itself is unproven.
Measurement
Because neither channel publishes reach or engagement, agree sensible measures with Leon in advance: session registrations, worksheets completed, and follow-up conversations. Method determines the shape of the company the owner can build, so a lively session that ends without a chosen model is evidence of a failed exercise.
Premise
A managed IT services company, or a vendor selling growth and automation tools into the MSP market, co-hosts a ninety-minute working session with Leon. The promise is specific: attendees leave with their revenue math filled in and one model chosen, not with a growth slogan.
Sequence
Leon opens with the case that reframes the topic: an MSP with 12 clients producing $5 million in annual recurring revenue, roughly $35,000 per month per client, run by 20 employees. Another MSP might need 100, 200, or 300 clients to reach the same revenue. That establishes that the two companies are built on different math, not that one is better run.
Each attendee writes down a target annual recurring revenue and their real average contract value, then divides. Leon's published figures give the room a sense of the range: at $2,000 per month per client, $100 million would take roughly 4,167 clients; at $10,000 per month, around 833; at $50,000 per month, about 167; at $200,000 per month, roughly 42. The arithmetic is simple enough to do live and uncomfortable enough to shift the conversation.
The room then sorts itself against the three paths they name: a small, profitable MSP of 40 to 100 well-selected clients; an SMB service machine built on volume, clear packages, limited customisation, repeatable onboarding, centralised support, and automation; or moving upstream to larger organisations with longer sales cycles and higher expectations. Each path spells out what it demands of sales, staffing, and service delivery, making the choice a real trade rather than a preference.
A second short exercise comes from the pricing piece. Each attendee picks one customer segment they understand unusually well, drafts a deliberately different offer for that segment, and puts a price on it while the existing business keeps running. The framing question is not whether customers will pay more for the same service, but whether a particular kind of customer will pay for a service built around a problem they care about.
The recurring warning: the mistake is not serving small businesses, but choosing small-business economics while copying the structure and ambitions of a much larger company. Attendees leave with a completed worksheet and a named next step.
Terms to settle directly
The published route is the advisory offer Leonard attaches to every essay, which names MSP owners and the vendors, founders, and investors building in the MSP market as its two audiences. The posts provide no rate card, deliverable specification, duration, price, or audience guarantee; ask for the scope, output, terms, and any audience guarantee before engaging.
Title
A working session built on client count as a design decision
Choose Ahmad for a session on winning consulting clients without relying on high-volume outreach.
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In two podcast episodes, they discuss how positioning and targeted prospects can matter more than booking large numbers of meetings: “Bob’s big mistake” and “The volume game is a lie”. That perspective can help an MSP owner consider how positioning shapes growth.
The examples address consulting lead generation, not MSP pricing, client-count economics or service design. Rob Leon is a closer fit for a session that works backward from revenue goals to a viable MSP model.
Choose Tue to discuss whether a large customer is genuinely valuable and healthy.
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This post distinguishes contract size from how deeply a product is embedded in a customer’s workflows and argues for tracking that operational dependence. It adds a useful customer-value lens to a growth discussion.
The example focuses on SaaS customer success, not MSP pricing or client-count strategy. Leon’s work is more directly useful for matching revenue ambitions to contract value and the kind of MSP an owner wants to build.
Choose Nicole when the question is whether a promotion still makes economic sense.
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This post explains how rising costs can make a promotion that lifts revenue or ROAS consume margin and cash. That suits a brief about campaign profitability, not designing an MSP’s broader growth model.
The example is about promotional economics and inventory, not MSP service design, pricing offers or client counts. Leon is a closer match for a session on MSP revenue math and testing a differentiated service offer.
This profile draws on eleven items published by Rob Leon: five long Substack essays and six short LinkedIn posts, observed in October 2026.
The essays carry the worked examples and step lists; the social posts restate a single argument in a few lines and generally point back to a longer piece.
Source types are limited to Rob Leon's own writing on his Substack newsletter and his LinkedIn account, and the posts are presented as full text rather than as titles or excerpts.
Three gaps shape what the page can and cannot say.
First, the social posts carry no publication dates, so the page describes recurring subjects, formats and teaching methods rather than a timeline of how Leon's arguments changed.
Second, audience information is thin: the only measured figure is a LinkedIn follower count of 3,457 recorded on 8 October 2026, with no Substack subscriber number, per-post reach, engagement data or audience profile available.
Statements about who Leon reaches rest on who his writing addresses, not on measured distribution.
Third, no signature book, show, podcast or other earlier body of work appears in these posts, so name-search coverage beyond them remains unresolved, and no sponsorship package, media kit or rate card is published in the posts here, which means the absence of a stated sponsorship offer is described as just that rather than as a policy.
Two outside brand relationships are stated only where Rob Leon states them: The MSP Playbook, Rob Leon's own Substack newsletter and the vehicle for his two advisory offers, and Motorola, the employer Rob Leon says he came from before entering managed services.
Two earlier MSP companies Rob Leon describes are not named in his posts, so they are described as experience rather than listed as organisations.
Comparisons to Nicole Livermore, Tue Søttrup and Ahmad Munawar rest on two posts each, dated August to September 2026 for the first two and November 2025 to February 2026 for the third.
That is enough for a point-by-point comparison of arguments and teaching approach, not a survey of any of the three writers' full work.
