Marcus Chan is most useful for concrete sales and management diagnostics on deal execution, forecasting, hiring, onboarding, and retention.
Best for
A sales training or leadership-education brand seeking co-branded content on champion enablement and team retention.
Not for
A sales-tech vendor selling AI pipeline or admin automation to individual reps.
Key takeaways
Reps lose late deals when champions are not taught to sell internally.
One relationship is not a deal; multithreading protects the champion.
Turnover is built into the system six weeks before resignation lands.
Check first: Confirm recent results, audience demographics, and which signature projects best represent their work.
Main ideas
Reps lose late deals because their champion has never been taught to sell internally · One relationship is not a deal; multithreading protects the champion · A forecast is a story until someone has to name the signing path
Marcus Chan is a sales coach whose LinkedIn posts focus on helping reps and sales leaders improve deal execution, forecasting, hiring, onboarding, and team retention.
They are known for turning common sales failures into specific questions and actions: map who approves a deal, prepare champions to explain its value internally, and build team systems that make expectations and coaching clear.
The posts also discuss their coaching work and refer to The Revenue Vault and Sales Accelerator X.
Ask whether either is a signature project, and for details of any signature book or earlier body of work relevant to the engagement.
Chan’s strongest recurring move is to make a vague problem testable.
In one coaching-call story, a rep calls a deal 90% likely until they ask who signs; the answer reveals an unseen private-equity approval.
They then give three questions for mapping the decision path and likely stall points.
In another post, they explain how a champion can lose a deal by reaching the CFO without context, then supply questions reps can ask before requesting negotiated pricing.
Their advice extends beyond deal mechanics: a story about publicly embarrassing a top performer ends with specific changes to their management—praise publicly and coach privately.
These examples give readers practical language and show how they connect individual sales performance to the systems around it.
Their posts also make bold claims about outcomes and turnover; ask for independent evidence before relying on those claims.
Follow their work for concrete sales and management diagnostics, and ask which signature projects best represent their work before treating any one channel or product as defining.
Marcus Chan argues that most lost deals and resignations stem from system failures visible early: a deal resting on one friendly contact, a forecast nobody pressure-tested, a new hire dropped into the deep end, or a shifting comp plan.
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Their prescriptions follow a consistent pattern: teach the champion to sell internally, count the threads on every deal, have reps name the signing path, treat retention as a management issue rather than a pay issue, and hire for proof instead of polish.
Guest stories from their interviews—Kevin E.
Gordon, Larry Salazar and Kyle Vamvouris—echo the same themes.
Reps lose late deals because their champion has never been taught to sell internally
Chan argues that sellers lose late when they mistake a friendly champion for a closer without giving them the tools to win an internal argument.
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In their framing, a champion walking into a CFO's office has no sales training but is handed pricing anyway.
Their fix is a pre-pricing checklist: confirm the champion will move forward if the rep gets the deal approved, ask what pushback the CFO might raise, and find a way to involve the economic buyer before presenting pricing.
Their summary: CFOs kill deals for lack of context, not price.
A deal is ready for signature.
Five days later, the buyer says the company cannot reach that commitment level.
The champion, sent to sell the purchase upward, tells the CFO only that they want to spend $250K on something good, and the request dies.
One relationship is not a deal; multithreading protects the champion
Chan treats a single-threaded deal as one job change away from collapse and recommends reframing the ask so the champion does not hear it as distrust.
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Their suggested language: ask who else weighs in at approval because the rep does not want the champion walking in alone. Their rule is three relationships minimum — champion, economic buyer, and one skeptic — because three can survive a reorganisation, but one cannot.
A $250K deal Chan's team called a sure thing hinged on one champion who loved them.
The champion was promoted into a different group, and the deal died within a week because nobody else at the account had heard the rep's name.
In a guest case study, seller Kevin E.
Gordon describes bringing procurement and 8 to 12 stakeholders in early so nobody heard the story for the first time on the final call.
Gordon credits that approach with moving average deal sizes from $50K to $300,000-$400,000.
A forecast is a story until someone has to name the signing path
Several posts urge managers to test the reasoning behind a number, not the number itself.
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Chan's reset for inflated deals is three questions: who has to say yes that the team has not talked to yet; what is the exact approval path from verbal yes to signature; and where does it stall — legal, procurement, security, or finance? They pair that with a disqualification test: the seller never helped shape the requirements, the requirements do not match the stated budget, and nobody will take a one-on-one call.
On a coaching call, a rep forecasts a big logo at 90% with two weeks left.
Chan asks who signs it; the rep immediately names his champion.
Chan asks whether the champion signs it or someone above them, and the rep pauses: private equity has to approve it.
Chan calls it a 50% deal wearing a champion's confidence.
Turnover is built into the system six weeks before the resignation lands
Chan argues that the decision to leave comes well before a manager hears about it; by resignation day, the manager is being informed, not negotiating.
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They list 31 reasons strong reps leave — no coaching loop, comp plans that change, busywork KPIs, no path to promotion, no playbook — and point out that almost none cost money.
That's why a counteroffer arrives after the real cause has hardened.
Chan ties the same problem to onboarding: strong hires dropped into the deep end leave while weak performers stay.
They put the cost of a failed hire at more than $500K in lost productivity and pipeline.
Chan describes publicly asking their best rep, Sarah, to walk the team through a 15% miss.
She was managing a family emergency and flying between cities and hospital visits.
She resigned two days later, saying she had never been more embarrassed professionally.
Chan's director asked whether they would want to work for themselves.
The change Chan lists: praise publicly, coach privately.
The personal story marks a stated change in Chan's management practice: from using a rep as a cautionary example in a team meeting to private coaching and question-led conversations.
Hiring should test proof of mechanism, not interview polish
Chan argues that most interviews reward confident talkers with clean resumes and miss the people who actually did the work.
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Their five-question test for sales-leader candidates asks for one number the candidate is proud of and exactly what they did; what happened the following year and the year after; a live coaching conversation, with the interviewer playing an underperformer; what the candidate inherited versus what they changed; and what they researched about the company.
Each question demands proof, not opinion.
Chan applies the same logic to team hires: the level a founder tolerates in hiring becomes the ceiling of the business.
In a guest interview, founder Larry Salazar describes building homeownership as an employee benefit.
An experienced closer failed to move the product because the person taking the meeting was an HR benefits director who had to sell the idea upward to a CFO or committee.
Salazar kept closing almost every deal himself and told Chan the only difference between him and a professional seller was passion.
Automate the motion that never closes, and keep the phone in the rep's hands
Chan's position on AI in sales: take admin off the rep's plate without automating the conversations that close revenue.
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They tally list building, CRM entry, and copy-pasting between tools at 10 to 12 hours a week per rep — 36 selling days a year and 288 across an eight-rep team — then prescribe agents to build and rank account lists, enrich contacts with role and trigger details, and draft CRM records for the rep to review.
In a guest interview, founder Kyle Vamvouris describes shutting down a $1.5M sales consultancy and a buyer comparing a $100K engagement with a $100-a-month ChatGPT licence that is roughly seventy percent as good. Chan's recorded position: the licence gets a buyer to seventy percent, then stalls; the missing thirty percent is what sets those organisations back, and sellers compete against perception rather than capability.
Chan promotes agents for sales admin while reporting on a founder whose services business lost ground to a low-cost AI licence. Their positions converge on a clear distinction: automate the motion that never closes, but do not assume a cheap tool replaces judgement on the motion that does.
A delay is a restart, not a pause; discounting too early hides the real reason.
Chan gives the "let's revisit this in 90 days" objection its own five-step sequence: acknowledge the timeline, ask what's driving the push, ask what else is holding the deal back, get the monthly cost of inaction said out loud, then trade a specific fix such as net-90 terms for paperwork now.
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The common failure, Chan says, is offering a discount at step two, before isolating the real objection — giving away margin to solve a problem the buyer may not have.
Chan puts a number on the leak: three deals a quarter slipping at $80K annual contract value means roughly $960K of pipeline a year. Pulling one of three forward is the rep's commission.
This explains what can go wrong between champion enthusiasm and final approval, then offers a practical pre-pricing checklist that newcomers can reuse.
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The post opens with a late-stage stall: DocuSign is ready, then the CFO says the company cannot reach the commitment level.
Chan argues reps lose when they sell to champions instead of teaching them how to sell internally.
The example is a champion who tells the CFO only, 'we want to spend $250K on this new thing.' Chan offers three questions to ask before negotiating pricing: whether the champion will move forward if the rep gets it approved, whether the CFO might push back, and how to make sure the CFO is on board before asking for pricing.
The post includes the line, 'CFOs don't kill deals because of price.
They kill deals because of lack of context.'
For brands planning a campaign
A co-branded champion-enablement lesson can turn this post into a role-play and worksheet that help reps prepare champions for pricing conversations with finance.
This lays out Chan's discovery playbook and gives newcomers the exact questions taught to reps.
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Chan attributes the gap between average and top reps to discovery, then lists eight questions the best AEs use.
They cover the decision process, step-by-step approval path, stakeholder priorities, hidden objections, executive awareness, the business case, team buy-in, and confirmation of the economic buyer.
Examples include, 'Who's all involved in bringing in a vendor like us?' and 'What does [economic buyer] have to say about the problem?' The list gives reps language they can adapt, not abstract advice.
For brands planning a campaign
An advanced discovery module can turn the eight questions into a co-branded question bank, scorecard, and recorded role-play for sales teams.
This lays out Chan's forecast-inspection method and shows how happy ears can obscure the real decision path.
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On a coaching call, a rep forecasts a big logo at 90% with two weeks left.
Chan asks, 'Who signs it?' The rep names a champion without hesitation.
Chan asks whether the champion signs it or someone above them, and the rep pauses: private equity has to approve it.
Chan calls it a 50% deal wearing a champion's confidence.
To reset inflated forecasts, Chan asks three questions: who has to say yes whom the team hasn't talked to yet, what is the exact approval path from verbal yes to signature, and where does it stall between legal, procurement, security, and finance.
For brands planning a campaign
A forecast-integrity module can teach sales leaders to pressure-test deals with these three questions before the quarter forces the issue.
It offers a diagnostic list for retention and frames turnover as a management-system problem rather than a pay problem.
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Chan says the decision to leave happens about six weeks before the resignation, so by the time a manager hears about it, they're being informed rather than negotiating.
They list 31 reasons top people leave, including hiding behind a laptop instead of leading, paying inside reps less than outside reps, inventing busywork KPIs, blaming reps without coaching, no onboarding, no call recording, no playbook, and skipping recognition.
The point: almost none of the reasons cost a dollar.
The closing line is, 'Your best people do not leave for more money.
They leave because the business made it impossible to do great work here.'
For brands planning a campaign
A team-retention content series can turn the 31 items into a self-assessment and prioritization workshop for founders and sales leaders.
It links discovery, multithreading, the business case, and deal management in one before-and-after story with measurable results.
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Chan presents a case study of Kevin E.
Gordon, whose average deal went from $50,000 to $300,000-$400,000.
The four moves: deeper discovery into the why and business impact; early multithreading with procurement, the VP, and executives; a real business case built around what the buyer loses by doing nothing; and deal management that matches the right stakeholder to the right stage.
Results include deal sizes rising three to five times, seven-figure deals, discounting falling from 20-40% to barely any, and win rate climbing from 15% to 40-60%.
Chan ends with a question for leaders: every rep skipping these four moves is leaving the same gap.
For brands planning a campaign
This is a strong anchor case for a co-branded advanced sales course, with lessons and a leader audit built around the four moves and reported results.
It makes management behavior and retention concrete through a personal failure story and a clear before-and-after change.
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Chan tells a story about losing a third top performer in six months.
They had publicly asked the best rep, Sarah, to walk the team through a 15% miss.
Sarah was dealing with a family emergency and had been flying between cities and hospital visits.
She resigned two days later, saying she had never been more embarrassed and could not work for someone who threw her under the bus publicly.
The director asks, 'would YOU want to work for you?' Chan then lists what changed: praise publicly, coach privately, seek to understand before being understood, ask questions instead of making statements, and make the team successful rather than look smart.
For brands planning a campaign
Leadership content on private coaching and public praise can use this narrative as a co-branded workshop case on manager behavior and team trust.
How the material is built: case studies, numbered playbooks, and posted results5
Champion enablement: turning a friendly contact into a deal that closes4
Multithreading as deal insurance4
Deal diagnosis: pressure-testing forecasts and qualifying out bad deals3
Hiring: proving mechanism over interview polish3
Retention: the resignation starts six weeks before you hear about it3
AI in the sales motion, and where it stops2
Handling delay without discounting1
Momentum mechanics for reps in a slump1
Champion enablement: turning a friendly contact into a deal that closes
Chan's recurring argument is that reps lose deals when they trust a champion who has never been taught to sell internally.
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One post describes a champion telling a CFO that a purchase "is really good" and watching the request die.
The proposed fix: ask three questions before sending negotiated pricing, and go directly to the economic buyer if the champion hesitates.
A separate post lists eight discovery questions the strongest reps use to map the decision process, test whether the executive buyer knows about the problem, and confirm who signs.
A related post makes the same point from the forecast side: a deal known to one person and never tested is a coin flip wearing a champion's confidence.
Question scripts to use before sending pricing; role-play the champion-to-CFO conversation; five-step forecast reset.
For brands planning a campaign
A clear foundation for a co-branded course on champion enablement. The material includes practical question scripts and a decision-path map that can be taught, role-played, and tested against a partner's own deal reviews.
Chan argues that single-threaded deals close at a fraction of the rate of multi-threaded ones.
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They cite a $250K deal that died within a week when the lone champion was promoted into another group and nobody else at the account had heard the seller's name.
The rule: three relationships minimum — champion, economic buyer, and one skeptic — because three survive a reorg and one does not.
A case-study post describes a rep who brought procurement and 8 to 12 stakeholders in early, so nobody heard the story for the first time on the final call.
Thread-counting exercise on live deals; early procurement and executive involvement.
"Every deal needs three threads minimum" is Chan's rule of thumb.
For brands planning a campaign
A stakeholder-mapping module can include a simple exercise: tally the threads on your five biggest open deals and treat any deal with one name as one you are about to lose. It works as a workshop segment or diagnostic handout.
Deal diagnosis: pressure-testing forecasts and qualifying out bad deals
Several posts coach leaders to test the story behind a number, not the number itself.
Read more
A rep's 90% forecast collapses to 50% in ninety seconds when asked who signs, and Chan's reset is three questions: who else must say yes, what the exact approval path is, and where it stalls.
A separate post identifies deals worth walking from: the rep never helped shape the requirements, the requirements don't match the stated budget, and nobody will take a one-on-one call.
Two or more signals mean you are funding someone else's deal.
A third describes going line by line through a dozen teams' numbers and finding that the teams that pulled ahead diagnosed before they spent.
Three forecast questions; three-signal deal-release test; diagnose-then-act ordering.
For brands planning a campaign
Strong material for a session on forecast hygiene and disqualification. The three-question reset and three walk-away signals can anchor a single lesson.
The "let's revisit this in 90 days" objection gets a five-step play: acknowledge the timeline, ask what's driving it, ask what else is holding things back, get the monthly cost of inaction said out loud, then trade a specific fix for paperwork now.
Read more
Chan identifies the common failure — offering a discount at step two, before isolating the real reason — and quantifies the leak: three deals a quarter slipping at $80K each is roughly $960K of pipeline a year.
Five-step stall play; cost-of-delay calculation.
For brands planning a campaign
A self-contained negotiation lesson with a scripted sequence and cost-of-delay math a partner can rerun using its audience's deal sizes.
Chan's hiring posts argue that a confident resume is not evidence of ability.
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One gives a five-question test for sales-leader candidates: a number they are proud of and exactly what they did; what happened the following year and the year after; a live coaching conversation; what they inherited versus what they changed; and what they researched about the company.
Each question is designed to elicit proof, not opinion.
Another lays out hiring patterns by revenue level, contrasting founders who hire cheap juniors with those who hire people who sell without them.
A founder interview with a homeownership-benefits startup shows the same point from the other side: the person who takes the meeting is an HR director who has to sell the idea upward to a CFO, so the experienced closer failed and the founder kept closing the deals.
Structured interview question sets; live role-play as an assessment.
For brands planning a campaign
A fit for a hiring and vetting module aimed at leaders. The live coaching question also lends itself to an on-camera demonstration.
Retention: the resignation starts six weeks before you hear about it
Retention is treated as a system problem, not a pay problem.
Read more
One post lists 31 reasons strong reps leave — no coaching loop, comp plans that change, no path to promotion, busywork KPIs — and notes that almost none cost money, which is why counteroffers arrive six weeks after the decision.
Another ties failed onboarding to churn: new hires dropped into the deep end leave, weak performers stay, and the estimated cost of a failed hire runs past $500K in lost productivity and pipeline.
The remedy is structured one-to-ones, clear scoreboards, and consistent coaching.
A more personal post describes Chan publicly holding a top rep accountable for a missed month in front of the team, losing that rep, and being asked by a director whether they would want to work for the manager they had become.
Diagnostic list; structured 1:1 and scoreboard system.
For brands planning a campaign
A direct fit for a retention module. The 31-reason list gives members a diagnostic to score themselves against, and the personal story sets the tone for a coach-led series.
Chan frames a slump as a momentum problem rather than a skill problem.
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A rep dropped to 35% of quota after losing territory and changing managers in the same month; the instruction was to forget quota and do ten dials a day, tracked on paper where the win is visible.
The rep was reportedly back above quota within a month.
The same logic is offered to leaders: give people one input they fully control and build a system that makes it repeatable.
One controllable input, tracked daily on a visible paper tracker.
Ask for pilot data: the result rests on a single reported anecdote, not a measured pilot.
For brands planning a campaign
A compact daily-habit lesson and worksheet for a short co-branded course or challenge series.
Posts on current tooling put AI inside day-to-day operations.
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One tallies the admin cost — 10 to 12 hours a week per rep on list building, CRM entry, and copy-pasting between tools, or 36 selling days a year and 288 across an eight-rep team — then prescribes agent help for building lists, enriching contacts, and drafting CRM records.
The rule: automate the motion that never closes and protect the one that does.
A second post reports a founder shutting a $1.5M consultancy after buyers weighed a $100K engagement against a $100-a-month ChatGPT license.
The post argues that the license gets a buyer to seventy percent and stalls, and that perception, not capability, is what a seller competes against.
Both posts pair the advice with interview or program promotion, so audience response blends interest in the topic with interest in the offers.
For brands planning a campaign
A current-theme module with a debatable frame. The "seventy percent and stalls" claim is an argument the partner's audience can stress-test, while the weekly-hours arithmetic gives the lesson a concrete hook.
How the material is built: case studies, numbered playbooks, and posted results
The recurring format is a short diagnostic story — a blown forecast, a lost champion, a resignation — followed by a numbered sequence the reader can run and a next step, such as an invitation to comment a keyword or a link to a session or program.
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Results appear in named case studies and roundups: Kevin E. Gordon moving from $50K to $300–400K deals, from 15% to 60% win rates, and to a quarter closing at $1.6M; an MSP firm at $1.2M ARR with average deal size rising from $19K to around $300K; an edtech client growing from $2M to $15M in about two years with four reps; and client events shared alongside another sales educator, Jed Mahrle, and the Sell Better team.
All results are posted on Chan's own account; none of the posts cite an audited or third-party source.
For brands planning a campaign
Gives a partner both a content template and reference numbers.
Expect any co-branded asset to follow the same pattern — one story, one numbered method, one next step.
Re-verify results with the partner before reuse; the coach posted them about Chan's own clients.
They sell Sales Accelerator X, run The Revenue Vault, and appear alongside Sell Better for a joint session on saving deals.
Their client wins are reported with companies anonymized—an MSP, an edtech firm, a services firm—so ask for client references if named examples matter.
Other offers are unnamed in the posts: free Revenue Strategy Calls, a "Message me SCALE" coaching pitch, and call bookings through posted links.
Sales Accelerator X
Owned business
Chan writes in the first person about opening the last 30 seats in Sales Accelerator X, priced at $997 one time with an unconditional 30-day guarantee.
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They say it closes for good on November 30 and frame it as a program they sell to readers who have wanted in for a year.
Chan announces guests on their interview program: Larry Salazar, founder selling homeownership as an employee benefit, and Kyle Vamvouris, who shut down a $1.5M sales consulting firm.
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Both are joining The Revenue Vault; Chan points readers to the full interview in the comments.
Chan says they, The Sell Better Team, and Jed Mahrle will share strategies they normally give private clients on saving a deal before it is too late, and links to a seat registration.
Marcus Chan’s posts are easiest to explore by theme.
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Most open with a concrete moment — a forecast that collapses when someone asks who signs, a champion who cannot make the internal case, a rep who resigns — then give a numbered sequence to run and a closing next step.
Two strands run through the work: how a complex deal is decided before signature, and how sales teams lose good people by design rather than pay.
Start with the champion enablement and deal diagnosis material for the deal side, then the retention, hiring and onboarding posts for the management side.
The AI posts argue for automating administrative work while keeping reps on the conversations that close revenue.
Similar creators below approach these problems from different vantage points: sales enablement systems, hospitality retention and culture, and sales planning analytics.
Writes about getting new hires productive and how AI is changing where reps find what they need in a deal.
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Chan’s post about a six-year veteran quitting on day 18 because onboarding repeated material they already knew aligns with their argument that strong hires leave when dropped into a poorly structured start. Both treat AI as a way to remove work from a rep’s plate, not replace judgement.
Nisar writes from the enablement function outward, covering learning platforms, content hubs, battle cards and the risk of reps pasting calls into unsanctioned tools. Chan focuses on the deal and managers’ decisions, writing mostly for founders, owners and frontline leaders rather than enablement teams.
Makes the same core retention argument as Chan from a different industry: people rarely leave over one bad day; they leave after the same frustration repeats, and decide well before an exit interview or counteroffer arrives.
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Both treat retention as something built through daily interactions and management habits rather than pay.
Sanford writes about hospitality operations and culture in a warmer, more personal voice that includes family posts, with fewer repeatable question scripts or numbered sequences. Chan’s material focuses on B2B sales management, using numbered playbooks and deal mechanics.
Shares Chan’s insistence that teams diagnose the number before acting on it, and their suspicion of confident AI output.
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Mahmood argues that a tool that recommends a territory or quota without revealing that its underlying data is stale or guessed is worse than no answer. That echoes Chan’s point that a forecast is only as honest as the questions behind it.
Mahmood writes as a planning and RevOps tool builder, covering territory, quota, headcount, comp and forecast models on one system for enterprise planning leaders. Chan teaches rep- and manager-level execution — discovery, multithreading, coaching conversations and retention — rather than the planning infrastructure underneath the number.
For a partnership on advanced sales leadership content — champion enablement and team retention — the placement question is whether Marcus Chan’s audience includes people who own those decisions inside sales organizations.
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Their posts speak directly to sales reps, sales managers, and founders or owners who run sales teams, asking readers to comment, message, or book a call.
That indicates who the content is built for, not who follows the account.
The only audience figure reported is a LinkedIn following of about 102,886 accounts, observed October 9, 2026.
They post frequently and consistently: 19 full-text posts between July 15 and October 9, 2026.
Examples relevant to retention include a post addressing “CEOs, founders, and owners” about broken onboarding and unpredictable revenue, and one listing 31 reasons top performers leave and noting most cost nothing to fix.
For champion enablement, examples include a post teaching reps to prepare a champion to sell to a CFO and one on mapping the approval path when a forecast rests on one relationship.
Before booking, ask for recent results on comparable topics and formats — such as impressions and engagement on posts about champion enablement, multithreading, or retention — and whether they have LinkedIn audience demographics or survey data covering job function and seniority.
Geography, company size, job function, and seniority are not reported, so request the data relevant to your target buyers.
LinkedIn followers
102,886
LinkedIn public profile for Marcus Chan · 2026-10-09
Marcus Chan's posts describe no partnership, sponsorship, or co-branding offer, but they do show how they sell.
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They promote their own paid programs directly: one post describes Sales Accelerator X as a $997 one-time seat with a 30-day guarantee, available only until November 30.
Other posts ask readers to message “SCALE” or comment “CALL” for a free 45-minute Revenue Strategy Call, or point to a booking link.
Their interview series, The Revenue Vault, features named guests such as Larry Salazar and Kyle Vamvouris and directs readers to the full conversation in the comments.
The only visible third-party promotion is a joint session with the Sell Better Team and Jed Mahrle, announced with a link to save a seat.
The posts state no rates, deliverables, exclusivity terms, sponsor categories, audience specifications, content-usage rights, or public partnership or media inquiry route.
Ask them directly through their LinkedIn account for those terms.
Their offers run through their own funnels and comment-to-message prompts rather than a partner-facing page, and guest appearances are bundled with their interview content; any collaboration would likely be structured around their existing channels and audience rather than a separate partner property.
A sales training company or leadership-education brand seeking a co-branded course or content series on champion enablement and team retention is the closest match to Marcus Chan’s posts.
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Decision: proceed, subject to the conditions below.
Champion enablement is the spine of the content.
The argument recurs in different forms: reps lose late-stage deals when they sell to champions instead of teaching them how to sell internally.
The posts offer teachable assets, not just opinions.
One follows a deal that stalls when the CFO says the company cannot reach the commitment level, then lays out three questions reps should ask before negotiated pricing goes out.
Another offers eight discovery questions covering the decision process, executive awareness, the business case, and who actually signs.
A third describes a $250K deal that died within a week when the sole champion changed roles, with a three-thread minimum and a way to ask about other stakeholders without sounding pushy.
A fourth sets out a three-question forecast reset for deals nobody has pressure-tested.
These can become role-plays, worksheets, and checklists—the building blocks of a course.
Retention is the campaign’s second strand.
The posts frame it as a management-system problem, not a pay problem: a 31-item list of reasons strong performers leave, with the observation that almost none cost money; an onboarding argument that clear scoreboards, structured one-to-ones, and consistent coaching determine whether a good hire stays; and a first-person account of publicly correcting a top performer who then resigned.
Two further points support the fit.
The posts follow a repeatable format—a short diagnostic story, a numbered method, and one next step, such as a keyword comment or session link—so a co-branded series can use a format the audience already recognises.
The case studies also provide figures to build lessons around, including a rep whose average deal moved from $50K to $300–400K as win rates rose from 15% to 60%.
Those results are self-published and not independently verified; confirm them before reusing them.
Conditions: The posts publish no rates, deliverables, exclusivity terms, or content-usage rights, so these must be negotiated from scratch.
There is no self-serve partner route; contact the creator through their LinkedIn account.
Their $997 one-time program, which includes a 30-day guarantee, occupies adjacent ground, so both sides must decide whether a co-branded course complements or competes with it.
Audience composition is also unmeasured: about 102,886 LinkedIn followers observed on 9 October 2026, with no demographic or survey data on job function, seniority, company size, or geography.
Before committing to an advanced leadership campaign, ask for that data.
When to choose a specialist
A sales-technology vendor selling AI-assisted pipeline or admin automation wants a co-branded content series for individual reps on using AI to build lists, enrich contacts, and keep the CRM current.
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Decision: don’t build this campaign around the posts without reframing it.
Only two of the 19 posts touch sales tooling, and neither supports a product-led pitch.
One tallies the admin burden—10 to 12 hours per rep per week on list building, CRM entry, and copy-pasting between tools, or 288 selling days a year across an eight-rep team—then prescribes agent help and a rule: automate the motion that never closes and protect the one that does.
The post presents AI as a way to reclaim hours, not as the subject of instruction.
The other cuts against the campaign: it recounts a founder shutting a $1.5M consultancy after buyers weighed a $100K engagement against a $100-a-month ChatGPT license, and reports the view that the cheap license gets a buyer to seventy percent and stalls.
A paid AI tool would sponsor a story about software replacing paid expertise at a fraction of the price.
The teaching is method- and coaching-led: a story, a numbered play, a role-play, one next step.
The posts contain no product demos, comparisons, or feature walkthroughs, so a series built around a tool’s screens would put the creator’s name on content unlike anything in the feed.
The commercial mechanics also need resolving.
The only third-party promotion in the posts is an announced joint session with another sales educator and the Sell Better team, with no terms, fees, or deliverables stated.
Everything else routes to Marcus’s own programs through comment keywords or a booking link.
The posts publish no media kit, rate card, or sponsor policy, and there is no audience data to show whether the following skews toward the frontline reps this vendor wants to reach.
Ask for audience data and commercial terms before proceeding.
A workable version exists, but it is a different campaign.
If the vendor wants this creator, the realistic format is one lesson within a broader sales-execution curriculum—for example, a segment on automating admin so reps can spend the recovered time on live conversations—with the product as context, not the argument.
If the vendor wants product-feature or tool-comparison content, this is the wrong creator; build that campaign elsewhere.
A worked campaign example
Worked campaign angle for the strong-fit brief: a three-lesson co-branded course or workshop series, sold as an advanced module alongside the partner’s existing curriculum.
Lesson 1 — Your champion cannot sell for you.
Open with a story from the posts: the paperwork is ready, then the CFO says the company cannot reach the commitment level.
Teach the three questions to ask before negotiated pricing goes out, then run a live role-play with one person as the champion and another as the CFO.
Takeaway asset: a one-page pre-pricing checklist reps complete before sending a proposal.
Lesson 2 — Three threads or one.
Use the $250K deal that died within a week when its sole champion moved into another group.
Teach the line for asking who else weighs in at approval—framed as not wanting the champion to walk in alone—and the three-thread minimum: champion, economic buyer, and one skeptic.
Takeaway asset: a thread map for the five biggest open deals, flagging any deal resting on one name as at risk.
Lesson 3 — The resignation starts six weeks early.
Pair the 31-reason list of why strong performers leave with the onboarding argument that clarity, not talent, determines whether a good hire stays.
Add structured one-to-ones and clear scoreboards.
Takeaway asset: a manager self-assessment based on the 31 items, scored and triaged into the two fixes the manager will make this quarter.
Distribution: follow the format the audience already knows.
The posts pair a story with a numbered method and one next step, such as a comment keyword, a session link, or a pointer to an interview in the comments.
A launch post using the same structure—one deal gone wrong, the three-question fix, and one instruction to comment or register—would feel native rather than like an ad.
A joint session with another sales educator, as in the announced Sell Better collaboration, is also a promotion style already visible in the feed.
Before launch, settle four points: terms, deliverables, exclusivity, and content-usage rights, none of which are documented; whether the module competes with the creator’s own $997 program; whether audience data supports an advanced leadership brief, since job function and seniority are unmeasured; and permission to reuse posted client results, which are self-published and unverified.
Test the concept with one cohort before scaling: measure completion and check whether participants use the worksheets in live deal reviews.
That is the clearest signal the series changed behaviour rather than merely collected registrations.
Choose Nisar when the partner's course has to teach onboarding and ramp rather than deal execution: how a proven hire becomes productive in days instead of weeks, and how to keep an experienced rep from walking out because the first month repeats training they do not need.
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Both posts address that enablement problem.
One tells the story of a top-performing new hire who quit on day 18 because a six-week, one-size-fits-all onboarding plan covered discovery basics and champion identification for someone who had sold into the same market for six years.
It pairs the story with a proposed fix: a focused product deep dive, a role-play certification against an AI buyer, and a pass straight to live calls once mastery is proven.
The other argues that enablement content portals are losing reps to AI: rather than search a folder, a rep will paste a call transcript into a chatbot and ask for the three points that answer an objection at minute 14.
If the co-branded course is about advanced enablement — personalised tracks, certification standards, approved knowledge delivered where reps already work — Nisar covers ground these posts do not.
What the partner gives up is the deal-execution core of the requested course.
Marcus Chan's posts do not cover champion enablement, multithreading, economic buyers, or forecast integrity, and treat retention as onboarding design rather than the management system — structured one-to-ones, clear scoreboards, consistent coaching — behind the 31-item list of why strong performers leave.
A series built on Nisar would be strong on ramp time and enablement technology but thin on the late-stage deal and retention-management lessons the partner asked for.
The posts also lean on AI tooling, closer to product-led content than to a coaching narrative.
Choose Sanford when the partner wants a retention-and-culture course for hospitality or other frontline service businesses, taught to operations and general managers rather than quota-carrying reps.
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The substantive post argues that retention, not recruiting, is becoming the strongest driver of service quality in hospitality, and that people rarely leave after one bad day — they leave after the same frustration repeats: not being heard, not being developed, not being appreciated, not seeing a future.
The advice is to read those signals in everyday moments instead of waiting for exit interviews, because the decision is already made by the time a resignation letter arrives.
For hotel, restaurant, or venue leaders, that is a sharper and more specific fit than Marcus Chan's sales-team posts, and it comes from inside the industry rather than a sales-training vantage point.
There is no sales methodology here: no discovery questions, no champion or economic-buyer mechanics, no forecasting, no coaching cadence for reps carrying a number.
The second post is a personal announcement about a newborn being appointed 'Chief Cuteness Officer'.
It shows an ability to hold an audience's attention but offers nothing for a training curriculum.
Because both posts are industry-narrow, the partner would be buying a retention-culture voice rather than demonstrated advanced sales leadership and would need to supply the sales instruction from elsewhere.
Choose Mahmood when the partner's course is about sales planning and RevOps rather than rep skill or team leadership: territory design, quota allocation, headcount and comp modelling, and forecast integrity on one model.
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One post walks through the annual planning mess most companies repeat — territories exported from one tool, pipeline pulled from another, a comp file whose names do not match either, six weeks of manual reconciliation, and the recurring leadership question that costs three days of rework every time it is asked.
It argues that planning should take weeks, that 'what if' questions should be answered the same afternoon with the math shown, and that a forecast should trace back to decisions someone can accept or reject.
The second post makes the case for a planning tool that refuses to answer when the underlying data cannot support a conclusion, on the grounds that a confident wrong answer is worse than no answer.
For a partner whose audience is enterprise planning or revenue-operations leaders, that is a more precise fit than a sales-training creator.
Marcus Chan's posts do not touch champion enablement, rep retention, or frontline selling skill, so they do not serve the stated need and belong in a different course family.
The audience is planning and RevOps leaders, not the sales managers and reps a training company usually sells to.
Both posts promote a specific product, so a co-branded series would read as product marketing with a partner's name attached rather than a shared teaching series.
Ask for audience and commercial information before assessing reach or terms.
Marcus Chan's 19 full LinkedIn posts cover deal execution, forecasting, champion enablement, sales leadership, hiring, onboarding, retention, and AI in the sales workflow.
No publication dates appear in the posts here, so no change in emphasis over time is claimed.
Client and rep results appear as Chan posted them and were not independently verified.
The follower figure (102,886) is a LinkedIn account count observed 9 October 2026.
Two full posts each from Gaurav Nisar, Jeremy Sanford MPA, and Hassan Mahmood were also read; any claims about similarities and differences rest only on those posts.
No signature book, show, or earlier body of work is established in the posts here—that remains an open question before any later revision treats a single channel or product as Chan's defining work.
