Todd Vahlsing writes about restaurant technology adoption, enterprise sales, and account management in franchise systems, drawing on experience on both the restaurant-operator and technology sides.
Todd Vahlsing is most useful for restaurant technology vendors needing thought leadership on adoption, enterprise sales, and franchise account management.
Best for
Restaurant technology companies seeking thought leadership or advisory on adoption and enterprise sales strategy.
Not for
Consumer foot traffic or franchisee recruitment campaigns measured by reach, clicks, and conversions.
Key takeaways
Technology succeeds when it fits real restaurant operations, not when its demo looks impressive.
Past scheduling tools, software updates, and lab-tested hardware can falter during a dinner rush.
Enterprise sales can take years, and corporate approval is only the beginning.
Check first: Ask about scope, deliverables, disclosure, fees, audience demographics, and any commercial relationship.
Main ideas
Technology has to work in the restaurant, not just in a demo · The operator’s numbers and daily constraints decide whether technology sticks · Enterprise diligence can create a new risk when technology changes quickly
Todd Vahlsing writes about restaurant technology, enterprise adoption, and account management in franchise systems.
Across these posts, the central point is that technology succeeds when it fits real restaurant operations—not when its demo looks impressive.
They connect that idea to the people and processes behind adoption: clean data, workable routines, training, clear return on investment, and support for operators and franchisees.
The posts also explain why enterprise sales can take years and why corporate approval is only the beginning.
Readers interested in how technology and partnerships work in the pressured, decentralized environment of restaurant operations will find practical examples here.
Vahlsing links broad claims about technology to the realities of running restaurants.
In one post, past scheduling tools, software updates, and lab-tested hardware illustrate how promising products can falter during a dinner rush; the test for AI, they argue, is whether it solves a real operational problem.
In another, a delayed store opening makes the cost of poor coordination tangible: payroll and pressure continue while equipment, technology, inspections, and training fall out of sequence.
The writing treats franchise adoption as a relationship built across corporate teams, franchise owners, field staff, and restaurant operators—not a sale completed at signature.
This combination of operational examples and attention to execution sets the posts apart.
Todd Vahlsing’s recurring point is that restaurant technology succeeds or fails in the work around it: operational fit, clear economics, training, and follow-through matter more than a strong demo or an approved-vendor list.
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The same practical lens shapes their writing on enterprise buying and franchise relationships.
Technology has to work in the restaurant, not just in a demo
Vahlsing argues that new tools can look promising until they meet real workflows, imperfect data, and busy shifts.
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Technology can amplify strong operations, but make weak ones more costly. The question isn’t whether to embrace technology, but whether a tool solves an actual operating problem and can be adopted reliably.
Vahlsing recalls scheduling systems that took managers longer to use than making schedules by hand, remote updates that repeatedly failed, and hardware that looked good in the lab but was poorly suited to a busy restaurant. For AI, the practical test is whether it solves a real Monday-morning problem.
The operator’s numbers and daily constraints decide whether technology sticks
A vendor’s projected return isn’t enough.
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Vahlsing says adoption depends on measurable impact in live operations, with assumptions that hold up against the restaurant’s actual data and routines. Tools that add complexity or undermine speed, simplicity, and consistency are unlikely to last.
Vahlsing contrasts ROI in a sales deck with real P&L impact in a working restaurant, where operators can spot fuzzy assumptions. Clean inputs and routines that match how the restaurant runs are prerequisites for useful results.
Enterprise diligence can create a new risk when technology changes quickly
Vahlsing sees long buying processes as understandable: operations, IT, finance, and franchisees each have legitimate risks to manage.
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But lengthy reviews, implementation, and rollout can leave a company adopting technology that has changed during evaluation. Corporate approval also doesn’t guarantee franchisee adoption.
Vahlsing describes a 12–18 month enterprise sales cycle and notes that procurement, integrations, pilots, training, and change management can push meaningful revenue years beyond initial contact. In franchise systems, the work may begin only after corporate approval.
Franchise account management is stewardship across an ecosystem
Vahlsing argues that a large restaurant brand isn’t a single customer: corporate leaders, field consultants, franchise owners, suppliers, and restaurant operators all shape whether a partnership works.
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Account leaders need to understand and support that system, not just close a deal.
Vahlsing describes partnerships built through pilots, rollouts, problem-solving, and showing up when a restaurant needs help on a busy Friday night. When products look alike, consistent field support and operator trust can distinguish one vendor from another.
This is the best starting point for a newcomer who wants to know how Todd Vahlsing thinks about AI and restaurant technology.
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It answers the question: what separates technology that sticks from another impressive demo?
Todd Vahlsing writes that, after watching 40 years of restaurant technology waves—from POS systems, labor scheduling, inventory management, loyalty programs, kiosks, mobile ordering, and delivery marketplaces to AI—most follow the same pattern: compelling demos, promising early results, executive excitement, and vendor promises that eventually meet reality.
They give concrete examples: scheduling systems that took managers longer than building schedules manually, remote software update systems that failed more often than they succeeded, and next-generation hardware that looked good in a lab but was not designed for a busy restaurant.
The core argument is that most technology failures are failures of execution, process, training, and accountability—not technology.
Technology is not the strategy; it is the amplifier.
Strong operations plus the right technology can produce strong results, while weak operations plus great technology usually create more expensive problems.
The question that matters is whether the tool solves a real Monday morning problem for the people running restaurants.
For brands planning a campaign
For a thought leadership or advisory engagement on technology adoption, this piece supports a practical, operations-first narrative.
A restaurant technology company can use it to talk about fit, data quality, workflow, training, and accountability instead of hype.
For a campaign aimed at operators, lead with the Monday morning problem, not the demo.
This piece explains why impressive restaurant technology often fails to stick, even when the tools are genuinely more advanced.
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It gives readers the adoption test, not the sales pitch.
Todd Vahlsing argues that every new wave of restaurant technology arrives with the same promise: this time it is different, smarter, more powerful, and supposed to change how everything works.
Some current tools are impressive: they can surface insights faster, automate decisions, and give operators visibility they did not have before.
But the industry tends to overestimate what new technology can do in the short term and underestimate how hard it is to make it work inside a restaurant.
Technology sits on the same systems, data, and day-to-day operations.
If the inputs are not clean, neither are the outputs.
If the workflow does not match how the restaurant actually runs, it does not matter how smart the tool is.
The real test is ROI—not the version in the deck or one that assumes perfect execution, but the impact on the P&L in a live operation.
Early adopters may take a swing on potential, but broad adoption, especially in franchise systems, requires math that is clear and holds up under real conditions.
Operators know their numbers and spot fuzzy assumptions right away.
Restaurants still run on speed, simplicity, and consistency; anything that does not support those three things has a hard time sticking.
For brands planning a campaign
A restaurant technology vendor can use this piece to build credibility around ROI proof, operational simplicity, and franchisee adoption math. For an advisory engagement, it supports a diagnostic approach: before adding technology, test data quality, workflow fit, and whether the claimed impact holds up on a live Friday night.
This is the clearest explanation of why restaurant technology sales cycles stretch and why corporate approval is not the same as adoption.
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Start here to understand the enterprise and franchise buying environment.
Todd Vahlsing asks whether enterprise technology adoption can keep pace with the rate of technological change.
A 12 to 18 month sales cycle is not unusual in enterprise software, and in restaurant technology, especially franchised systems, it may be on the shorter side.
By the time a buyer factors in procurement, legal review, implementation planning, integrations, pilots, custom development, deployment, training, and change management, they may identify a prospect today and not see meaningful revenue for two or three years.
Nobody in the process is behaving irrationally: operations is protecting the guest experience, IT is protecting stability and security, finance is protecting capital, and franchisees are protecting margins and operational consistency.
Each stakeholder has legitimate reasons to move carefully because getting a technology decision wrong at scale is costly.
But technology does not stop evolving while organizations evaluate it.
Historically, technology cycles were slow enough that a solution would look largely the same when deployment began.
With AI, innovation is measured in months rather than years.
The very processes designed to reduce risk can create another kind of risk.
Franchise systems add another layer: corporate approval is often just the beginning, and the technology still has to earn adoption from franchisees with their own economics, priorities, and operational realities.
In many cases, the real work starts after the deal is signed.
For brands planning a campaign
Enterprise sales strategy content can use this piece to map stakeholder alignment, procurement friction, and franchisee adoption rather than focus only on product features. A campaign could help vendors plan for long cycles, internal champions, and post-signature rollout, where adoption is won or lost.
This piece explains what determines whether an approved vendor grows inside a franchise system.
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It is a strong starting point for readers interested in account management, field execution, and expansion.
Todd Vahlsing writes that after 34 years in restaurants, they moved into sales and account management and spent years inside large franchise systems as one of two approved vendors.
Approval feels like validation, but it is the starting line, not the win.
Growth comes from earning expansion in moments of truth.
Consider a new store build, where sequencing is tight across equipment, trades, technology, inspections, hiring, and training.
When one piece falls out of sequence, the opening can slide.
From a 10,000-foot view, one delayed store does not look catastrophic.
From the operator's seat, the clock and payroll are running, the team is hired, and the pressure is real.
Remodels, system rollouts, and service issues at the worst possible time prompt the same quiet decision: double down on this partner next time, or call the other approved vendor.
That decision has very little to do with feature set.
It turns on execution: communicating early, owning problems, escalating, and staying engaged until it is right.
Franchisees talk, so well-handled moments compound, while mishandled ones shift growth to someone else.
Approval gets you in the game; trust and execution determine whether you scale.
For brands planning a campaign
For partner enablement or sales advisory, this is a strong piece on execution as differentiation. A campaign can build around moments of truth, field support, and expansion inside franchise systems rather than approval alone.
This piece explains how to differentiate when products are nearly identical.
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It helps readers understand trust, account management, and ecosystem navigation in franchise sales.
Todd Vahlsing describes the enterprise sales challenge of being one of two approved vendors.
The products look almost identical, feature lists check the same boxes, pricing lands in the same neighborhood, and both solutions solve the problem on paper.
The real question is why the brand trusts you with the business.
They have seen this from both sides: years on the operator side, where vendors tried to earn trust, and later on the technology side, working with large restaurant brands.
A big restaurant system is not one customer but an ecosystem of corporate leadership, field consultants, franchise owners, suppliers, and the operators running restaurants every day.
Operators often say whether something is really working.
The best account leaders treat relationships as something to protect, not deals to close.
Partnerships are built through pilots, rollouts, fixing problems, and showing up when a restaurant needs help on a busy Friday night.
When two vendors offer similar technology, differentiation comes down to how well you understand the system, how consistently you support the field, and whether operators and the brand believe you are protecting the relationship as much as they are.
Stewardship is the real strategy.
For brands planning a campaign
This piece can anchor content about trust, field support, and ecosystem navigation in franchise sales. A vendor campaign could show that account management and customer success are strategic functions, not administrative ones.
Format and approach: field-note essays from both sides of the table5
Technology adoption has to survive the restaurant, not just the demo2
Approved-vendor status is the starting line, not the win2
ROI and operator math decide adoption1
Enterprise sales cycles are out of step with the pace of technology change1
Franchise ecosystems require account stewardship, not just account management1
AI should solve a Monday-morning problem1
Technology adoption has to survive the restaurant, not just the demo
Vahlsing argues that new restaurant technology is overestimated in the short term and underestimated in the difficulty of making it work.
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POS systems, labor scheduling, inventory, loyalty, kiosks, mobile ordering, delivery marketplaces, and AI all follow a similar pattern: compelling demos, promising early results, executive excitement, then contact with clean data, real workflows, training, and adoption.
They describe scheduling systems that took managers longer than manual schedules, remote software updates that failed more often than they succeeded, and next-generation hardware that looked good in a lab but was not designed for a busy restaurant.
The core argument: most technology failures are failures of execution, process, training, and accountability.
Strong operations paired with the right technology can produce results; weak operations paired with great technology usually create more expensive problems.
A first-person retrospective on specific operational failures, built around the recurring claim that technology is an amplifier, not a strategy.
Vahlsing sees AI and other tools as important, but says adoption depends on whether they fit real restaurant operations.
For brands planning a campaign
Brands can engage Vahlsing for grounded thought leadership on separating a promising demo from a deployable operating change, especially in franchise systems where field adoption is the constraint.
Broad adoption, particularly in franchise systems, depends on clear P&L impact under real conditions, not assumptions in a deck.
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Vahlsing writes that operators know their numbers and quickly spot fuzzy math.
Systems that add complexity, slow things down, or depend on everything being perfect struggle.
The test is whether the technology improves the operation without compromising speed, simplicity, or consistency.
Tests technology from the operator's point of view: its real impact on the P&L in a live operation.
For brands planning a campaign
Brands can use Vahlsing for content aimed at operators and franchisees, where the argument has to hold up against unit economics, not just product capability.
Enterprise sales cycles are out of step with the pace of technology change
Vahlsing describes a 12–18 month enterprise sales cycle as normal—and, in franchised restaurant technology, potentially shorter than average.
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Procurement, legal review, implementation planning, integrations, pilots, custom development, deployment, training, and change management can stretch the journey from prospect identification to meaningful revenue across two or three years.
They argue that nobody in this process is acting irrationally: operations protects the guest experience, IT protects stability and security, finance protects capital, and franchisees protect margins and consistency.
The challenge is that technology keeps evolving while organizations evaluate it, and franchisee adoption often begins only after corporate approval.
Maps stakeholders and breaks down processes, treating franchise systems as a distinct layer of complexity.
For brands planning a campaign
Brands can commission Vahlsing to help enterprise buyers and vendors talk about decision speed, risk, governance, and franchisee adoption—not just feature comparisons.
Approved-vendor status is the starting line, not the win
When a vendor is one of two approved partners, products look almost identical, feature lists check the same boxes, and pricing lands in the same neighborhood.
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Vahlsing argues that differentiation comes down to trust, execution, and relationship stewardship.
A new store build, remodel, system rollout, or service issue at the wrong time becomes a moment of truth.
The operator is quietly deciding whether to double down on the partner next time or call the other approved vendor.
Communication, ownership, escalation, and staying engaged until the problem is fixed matter more than making the approved list.
Contrasts parity on paper with concrete moments of truth, drawing on time spent on both the operator and technology sides.
For brands planning a campaign
Strong fit for account management, customer success, or partner enablement content in franchise systems, particularly around expansion and repeat partnerships.
Franchise ecosystems require account stewardship, not just account management
In large restaurant systems, Vahlsing says vendors are not dealing with one customer.
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The ecosystem includes corporate leadership, field consultants, franchise owners, suppliers, and the operators running restaurants every day.
The best account leaders protect relationships by running pilots and rollouts, fixing problems, and showing up when a restaurant needs help on a busy Friday night.
Differentiation comes from understanding the system, supporting the field consistently, and earning operators' and the brand's confidence that the vendor is protecting the relationship too.
Uses the franchised restaurant ecosystem as a model for account leadership and repeat partnerships.
For brands planning a campaign
Brands can engage Vahlsing for a practical playbook or workshop on ecosystem selling, field support, and account stewardship.
They say it will become an important tool in restaurant operations, but warn against moving too quickly from “this could help” to “this changes everything.”
They have watched previous waves of restaurant technology follow the same pattern: compelling demos, promising early results, executive excitement, vendor promises, then reality.
The key question is whether AI solves a real Monday-morning problem for the people running restaurants.
If it does, it has a future.
If it does not, it may be another impressive demo.
Uses the AI hype cycle as the latest example of a recurring technology-adoption pattern.
Vahlsing says AI is not a fad and will have a meaningful impact; their caution is about hype and execution, not rejecting the technology.
For brands planning a campaign
Position Vahlsing as a sober voice on AI in restaurant operations, useful for vendor content that needs credibility with operators and franchise systems.
Format and approach: field-note essays from both sides of the table
Vahlsing's posts are short, first-person essays that start with a current question or observation.
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They move through concrete operational examples and end with a question or memorable line.
The perspective draws on time as a restaurant operator and years in sales and account management inside large franchise systems.
Recurring tags include #RestaurantTech, #BridgePointOps, #AccountManagement, #Franchising, #Sales, #CustomerExperience, and #Leadership.
The peer-to-peer rather than promotional tone suits operator, franchisee, and enterprise sales audiences.
Reflective, first-person field notes built around concrete examples, stakeholder details, and open questions for the audience.
For brands planning a campaign
Brands can use this format to deliver thought leadership that reads as peer observation rather than a vendor pitch, bringing a point of view to operator and franchise audiences.
The posts name no sponsor, client, employer, or owned business.
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The only brand label is BridgePointOps, tagged by Todd Vahlsing on two restaurant-technology posts; the text doesn't explain what the business is or their connection to it. Ask whether the mention reflects a commercial relationship.
BridgePointOps
Mention
Todd Vahlsing tags #BridgePointOps in two posts about restaurant technology adoption and selling into large franchise systems.
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Neither post identifies whether BridgePointOps is their company, employer, or client, or describes a product, payment, or engagement. Ask what their relationship to the brand is.
Todd Vahlsing writes short, first-person essays about what happens when a restaurant technology pitch meets a real shift.
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Start with the posts on technology adoption and ROI, then move to the pieces on enterprise sales cycles and franchise account management.
The through line: demos are easy, adoption is hard, and the difference comes down to operational fit, clean data, training and follow-through.
They also examine what separates two approved vendors whose products look the same, useful reading for anyone selling into or buying within a franchise system.
The AI posts apply the same argument to a recent topic.
Restaurant technologyTechnology adoptionFranchisingEnterprise salesAccount managementArtificial intelligenceRestaurant operationsFranchise systemsField-note essayOperators and franchiseesVendor and sales teams
Patrick Winters
Winters also covers restaurant technology at the intersection of operations and capital, including a breakdown of Yum!
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Brands' BYTE platform and the platform economics behind QSR technology. Readers following Vahlsing's argument about technology adoption will find a complementary view of large-scale restaurant tech and investment.
Winters writes market-analysis posts on industry and investor moves, using emoji headings, bullet lists and company-by-company detail. Vahlsing's first-person field notes draw on operating and vendor experience, name fewer companies and focus tightly on whether a tool survives a Friday-night rush.
Adair applies the same operator-first test to food franchises that Vahlsing applies to technology: watch the customer, ask whether they will come back, and ask whether the team can deliver the same experience on a busy Tuesday as on a quiet Saturday.
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Both treat everyday unit-level reality—not the pitch—as the decision point.
Adair covers prospective franchisee due diligence and brand-level economics, including store-level performance and franchisor support. Vahlsing focuses more closely on technology adoption and vendor-to-franchise account relationships inside large systems.
Crowther covers franchise technology governance: how a network can outgrow its approach to managing technology, why complexity builds gradually, and why somebody still needs to own the whole picture even without an internal IT department.
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This overlaps directly with Vahlsing's argument that franchise systems add a layer of decision-making after corporate approval.
Crowther writes in a formal essay style about franchisor leadership and organisational design, rather than Vahlsing's operator-side detail, AI framing or approved-vendor material.
Todd Vahlsing’s LinkedIn posts are most relevant to brands and vendors working in restaurant technology and franchising.
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They focus on the gap between a promising product and its performance in live operations: clean data, workable processes, training, adoption, and measurable returns matter as much as the technology itself (AI and restaurant operations; technology and restaurant operations).
They also examine why enterprise technology decisions take time and how franchisees’ operational priorities shape adoption (enterprise technology adoption).
Todd Vahlsing's posts explain how restaurant technology vendors earn expansion inside franchise systems, but document no paid engagements, media kit, rate card or sponsor policy.
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Some posts use a recurring hashtag, which is not evidence of a commercial relationship.
Ask directly about scope, deliverables, disclosure and fees.
Their emphasis on early communication, owning problems and staying engaged until a rollout works can help shape a brief, but does not describe an available format.
A restaurant technology company wants thought leadership or advisory support on technology adoption and enterprise sales strategy for restaurant operators, franchise-system decision makers, and its own sales and customer-success teams.
Reasons
Todd Vahlsing's posts offer a clear, repeatable point of view: technology is an amplifier, not a strategy; most failures stem from execution, process, training, and accountability; and the test is whether a tool solves a real Monday-morning problem for people running restaurants.
They bring both operator and vendor-side experience. The posts cover 40 years of restaurant technology waves, scheduling and remote-update failures, new-store build sequencing, remodels, system rollouts, and service issues at the worst possible time.
The enterprise-sales material is specific enough for a vendor audience: 12–18 month sales cycles, procurement, legal, integrations, pilots, training, change management, franchisee adoption after corporate approval, and stakeholder motives across operations, IT, finance, and franchisees.
The approved-vendor material supports account management, customer-success, and partner-enablement content. The core argument: approval is the starting line, and trust is earned in moments of truth, not in feature lists.
The main limitation is distribution, not subject fit. Todd Vahlsing's account had 3,076 followers as of October 8, 2026. This is not a mass-reach play; it's a credibility and insight play, best suited to owned, earned, or sales-enablement channels where the audience already cares about restaurant technology adoption. For paid distribution, ask for recent post performance and audience demographics.
Commercial note
Todd Vahlsing's posts do not describe a partnership or sponsorship format. Agree on scope, deliverables, disclosure, and fees directly. The recurring hashtag on some posts does not establish a commercial relationship.
When to choose a specialist
Poor fit based on Todd Vahlsing's posts.
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Brief
A restaurant brand or franchise recruiter wants a paid social campaign to drive consumer foot traffic or franchisee applications, measured by reach, clicks, and conversions.
Reasons
Todd Vahlsing's posts don't include consumer-facing food, lifestyle, or local-promotion content. They are B2B essays on technology adoption, enterprise sales cycles, and franchise account management.
The posts provide no engagement or conversion history: no impressions, clicks, applications, offer redemptions, or campaign results. The only measured audience signal is a follower count of 3,076 as of October 8, 2026.
The posts publish no audience demographics. Ask for them to determine whether followers are operators, franchisees, vendors, job seekers, or consumers.
Todd Vahlsing's posts provide no partnership format, rate card, media kit, or sponsor policy. Agree on terms and disclosure directly before pursuing a paid performance campaign.
The follower count alone can't support a reach or conversion promise. Todd Vahlsing's posts don't support claims of guaranteed impressions, consumer response, or franchisee lead volume.
This is a decision based on Todd Vahlsing's posts, not a statement that Todd never does this kind of work. The posts simply do not show it.
A worked campaign example
Angle
Field notes from both sides of the table: how restaurant technology earns adoption after the demo ends.
Brief
Restaurant technology vendor: thought leadership and advisory support on technology adoption and enterprise sales strategy.
Format
A three-part sequence: one long-form essay or LinkedIn article, one live or recorded operator-panel conversation, and one sales-enablement workshop or diagnostic for the vendor's sales and customer-success teams.
Guardrails
Don't present the recurring hashtag as a brand partnership or promise reach, impressions, or pipeline attribution based on the reviewed data. If the vendor needs paid distribution, request recent post performance and audience demographics first. Agree on scope, deliverables, disclosure, and fees directly; no format is documented.
Sequence
Part 1 — The Monday-morning test. Lead with the argument that technology isn't the strategy; it's the amplifier. Use the scheduling, remote-update, and lab-hardware examples to show how promising tools meet real workflows, clean data, training, and accountability. Ask operators to name the Monday-morning problem the tool solves.
Part 2 — Approval is the starting line. Turn to franchise systems. Show how a new-store build, remodel, rollout, or badly timed service issue becomes a moment of truth. Explain that operators are quietly deciding whether to double down or call the other approved vendor. Give the vendor a practical account plan: communicate early, own problems, escalate, and stay engaged until the rollout works.
Part 3 — Selling into a slow cycle while technology moves fast. Map the 12–18 month enterprise sales cycle and the stakeholders protecting guest experience, stability, capital, and franchisee margins. Show why corporate approval isn't adoption and why the real work often starts after signature. Close with a diagnostic the vendor can run with a prospect: data quality, workflow fit, operator math, franchisee adoption path, and the P&L test.
Why it works
This sequence uses the strongest posts, focuses on operator decisions rather than product features, and gives the vendor useful sales and customer-success content without overstating the audience's size. It also avoids the AI hype trap: AI can matter, but only if it solves a real operating problem.
Choose Patrick Winters when the engagement needs a platform-strategy or investor view of restaurant technology.
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The posts treat Yum!
Brands' BYTE platform as a unified AI ecosystem spanning loyalty, digital ordering, operations, labor, inventory, and data across more than 60,000 restaurants.
They also track institutional capital moving into restaurant platforms through Roark Capital, Blackstone, KKR, and Mubadala.
This angle works if the vendor wants to argue that scale, unified data, and centralized AI infrastructure are becoming competitive requirements, or speak to brand strategists and investors rather than operators and sales teams.
Winters stays at the industry and investor level.
The posts cover strategic rationale and deal activity, not the workflows, training, and change management that determine whether a platform works in a restaurant.
A vendor taking this angle gets a strong “why now” case for senior leadership, but should source operator-level implementation detail elsewhere.
The posts also lean on emojis, bullet lists, and promotional framing, giving them a tone closer to industry marketing than an advisory essay.
Choose Daran Adair when the vendor's audience is prospective franchisees or franchise-investment decision makers, or when the message needs the perspective of someone choosing a franchise rather than a technology partner.
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The posts coach buyers to assess repeat customer behavior, taste, and consistency before judging a concept's excitement.
They warn that brand familiarity is not franchise research, pointing to store-level economics, operating demands, franchisor support, and existing franchisee performance.
That supports due-diligence content for a franchise-development audience.
Adair does not address enterprise software sales cycles, technology adoption, or vendor account management.
A technology vendor would gain a franchise-buyer lens and a due-diligence checklist, but lose the technology-adoption and sales-strategy material at the center of this message.
Use this comparison if the engagement expands into franchisee recruitment or investment education; otherwise, it answers a different buyer question.
Choose Tom Crowther when the engagement centers on the franchisor's own technology-governance question: who owns the overall picture as the network grows.
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The posts describe how a franchise system can double in size and gradually outgrow its approach to technology management without any single system failing.
Crowther argues that networks may keep external suppliers but still need one clear role to set standards, decide where franchisees get choice, and judge which systems still fit where the business is heading.
That suits thought leadership aimed at franchisor executives, board members, or a leadership team weighing a technology operating model.
Crowther's posts are short conceptual essays.
They frame the governance question and its symptoms—more decisions reaching leadership, more exceptions, and more workarounds—but offer no named operator examples, sales-cycle mechanics, or account-management playbook.
A vendor using this angle gets a clear leadership argument for structural ownership of technology.
Ask for field-level adoption and enterprise-sales detail to complement Todd Vahlsing's material.
Todd Vahlsing's five complete LinkedIn posts cover restaurant technology, enterprise software buying, franchise account relationships, and AI in restaurant operations.
The posts carry no publication dates, so they describe recurring arguments rather than a timeline.
The account has 3,076 followers, observed October 8, 2026.
The posts do not name an employer, client, sponsor, or owned business; the only brand label present is the hashtag #BridgePointOps, and the posts do not explain that connection or establish a commercial relationship.
No partnership format, rate card, media kit, or sponsorship terms appear in the posts.
The posts do not establish a signature book, show, or earlier body of work.
Known gaps: post dates and performance, audience demographics, and verification of employers or credentials.
Similar-creator comparisons in the topics section are based on two posts each from Patrick Winters, Daran Adair, and Tom Crowther.