Kirk Grogan hosts Tipped Off, a podcast about the hospitality industry, and writes about restaurant operations, tip distribution, and workplace trust. His posts also discuss TipHaus, a company he says was started in 2018 to address restaurants’ manual tip-reporting work.
Kirk Grogan is most useful for co-created content on automating tip distribution and reducing cash handling for multi-location restaurant operators.
Best for
Complementary restaurant technology vendors for co-created content on tip distribution and cash handling.
Not for
Direct tip-distribution rivals, corporate HR or procurement buyers, or guaranteed-impression paid campaigns.
Key takeaways
Cash tip payouts are a labor problem, not just a cash-handling problem.
Getting tip math right only solves the first problem; transparency is the second.
A 26-location customer example let employees check how their tips were calculated themselves.
Check first: Confirm audience data: job titles, company size, geography, reach, and comment mix.
Main ideas
Getting the tip math right only solves the first problem; transparency is the second · Cash tip payouts are a labor problem, not just a cash-handling problem · Fairness has to hold across every location, and employees should be able to verify it themselves
Kirk Grogan hosts Tipped Off, a podcast about hospitality and restaurant operations, and writes about tip distribution, workplace trust, and restaurant technology. His posts connect everyday operational choices—like paying out tips—to the experience of both managers and employees.
Grogan makes operational problems tangible before discussing solutions.
He also frames tip transparency as a matter of trust, not just accurate arithmetic: in a customer example spanning 26 locations, employees could check how their tips were calculated themselves.
His account of starting TipHaus describes how solving manual reporting exposed a further challenge: making the numbers understandable to employees.
Kirk Grogan's ideas circle around one operational problem and the trust problem it exposes.
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He argues that restaurant tip reporting is not finished when the math is correct: employees also need to see and understand how their pay was calculated, and managers should not be the ones explaining it.
From there he builds a case that cash tip payouts are a labor cost rather than just a cash-handling cost, that fairness has to hold across every location in a group, and that the restaurants worth learning from are often the lean, staff-first ones running without much software at all.
His podcast, Tipped Off, extends the same instinct to how operators should judge technology and to the industry's habit of sharing what worked.
Getting the tip math right only solves the first problem; transparency is the second
Grogan says TipHaus started in 2018 to fix tip reporting that consumed managers' hours, with calculations that were manual, slow, and disputed.
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Solving that, he argues, created a second problem that arrived disguised as ordinary staff questions about how a share was calculated, why a coworker earned more, and whether someone could show the breakdown.
He treats all of those as versions of one question: can an employee see and understand what they earned?
When employees cannot, he writes, managers get questioned, tensions escalate, and trust is lost.
His answer is employee-facing reporting that does not require a manager's interpretation.
He lists the questions directly — "How was this calculated?"
"Why did I get this amount?"
"Who was included in the pool?"
"Can you show me the breakdown?" — then announces a rebuilt native version of the TipHaus employee app, built from feedback from hospitality employees, and credits Chulita owner Shireen Imani and her staff for working hands-on with the team on the new version.
Cash tip payouts are a labor problem, not just a cash-handling problem
Grogan argues the cost of daily cash tips shows up in manager time: bank runs, counting cash, stuffing envelopes, distributing them, fixing discrepancies, and hunting through a spreadsheet when an employee questions a payout.
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He writes that managers should be running restaurants, not sourcing cash and reconciling envelopes, and frames digital tip distribution as an operational change for multi-location groups rather than merely a payments upgrade.
He stages the argument as a short exchange between a CFO who wants to cut cash handling and a general manager who reveals the company is still paying tips in cash every day, ending on the line "The spreadsheet?" / "The spreadsheet." He then contrasts that process with digital distribution that reduces bank runs and back-office work while giving employees clearer visibility into what they earned.
Fairness has to hold across every location, and employees should be able to verify it themselves
In a customer account, Grogan describes fairness at scale as the goal: configuring server assistants to be tipped the same way at every restaurant in a 26-location group.
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What he adds beyond consistency is self-verification — staff can open the app and confirm the result themselves rather than asking a manager. He couples that with specific time savings, treating the returned hours as part of the argument.
Relaying an answer from Aimee Ketola about the benefit her team felt most, he says the people who had never been on a product demo were the servers, bartenders, and tip earners, and quotes the shift in conversation from "trust me" to "here's exactly how this works." He reports about 7 hours a week and 28 hours a month returned to the bookkeeping team, and 8 or 9 minutes at close for each server and bartender.
The restaurants worth amplifying are often lean, staff-first, and lightly tooled
Grogan uses his podcast to hold up operators who run without much technology at all.
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He treats staff care and simplicity as the achievement, not the absence of software, and is willing to feature restaurants that run without loyalty programs or scheduling tools. That stance sets the tone a technology company would be working against if it assumed enthusiasm for more systems.
He describes Le Great Outdoors, an outdoor-only restaurant that started over a single charcoal grill and became a Southern California favorite without raising money, and reports zero turnover. He highlights a chef who does simple dishes to perfection and takes care of staff, plus a general manager who handles everything else, noting the operation runs without loyalty programs or scheduling software.
Operators should judge technology by business impact, not novelty
Grogan's podcast treats the evaluation question itself as the subject: how leaders decide which tools are worth adopting, set against technology fatigue and day-to-day operational strain.
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The emphasis falls on judgment and meaningful impact rather than on the technology's novelty.
He introduces an episode with Justine Jobe of Point B about the evolving restaurant technology landscape, including AI, operational challenges, and how leaders can evaluate solutions that deliver meaningful business impact. He frames the conversation around the future of hospitality and calls Jobe one of his favorite people in the industry to talk with.
Being part of the industry means sharing what worked and showing up for its own
Two posts sit outside the product argument and show a priority Grogan returns to: that hospitality people owe each other the knowledge that helped them improve, and that the industry should support its own when disaster hits.
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He describes the industry trade show as the one place where everyone shares a common goal, and he uses his own network to raise money after an earthquake in a city connected to his company.
After a Prosper Company show in Orlando, he writes that it is the only show where everyone has a common goal — sharing the knowledge that allowed you to improve — and thanks a long list of people he spent time with. On the magnitude 7.4 earthquake in Colombia, he says Pereira is where TipHaus employees and their families live and where the executive team holds its annual retreats, notes $10,000 sent directly to employees and their loved ones, and asks his network to give to World Central Kitchen, which he frames as the food industry showing up for its own and as TipHaus's founding principle.
Start here to see how Grogan frames the exact problem a restaurant-technology partner would be selling against: daily cash tips and the back-office work they create.
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Grogan stages a short CFO-and-GM dialogue.
The CFO wants to cut cash handling this year; the GM says the alternative is stopping daily tip envelopes, then lists what the current process involves — bank runs, counting cash, stuffing envelopes, distributing them, fixing discrepancies, and checking a spreadsheet when an employee questions a payout.
The exchange is deliberately mundane: the process is familiar, and that is the point.
Grogan then describes moving operators from manual cash payouts to digital tip distribution, reducing bank runs and back-office work while giving employees clearer visibility into what they earned, and calls that an operational upgrade rather than a payments one for multi-location groups.
For brands planning a campaign
This is close to a finished co-creation asset for a partnership on tip automation. The dialogue format names the pain, escalates it across locations, and lands on digital distribution without leading with product features — a structure a partner could adapt for a joint post, a short video, or a webinar script aimed at multi-location operators.
The origin story behind the product, and the clearest single statement of the trust problem Grogan returns to across the reviewed posts.
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Grogan says TipHaus started in 2018 to fix tip reporting that ate managers' hours — manual, slow, contested calculations — and that solving it created a second problem disguised as staff questions: "How was this calculated?"
"Why did I get this amount?"
"Why did my coworker get more than me?"
Grogan collapses those into one underlying question, whether an employee can see and understand what they earned, and argues that unclear numbers turn into questioning, tension, and lost trust.
The post announces a rebuilt native mobile experience for the TipHaus employee app, built from work with hospitality employees, and credits Shireen Imani and the staff at Chulita for hands-on involvement in the new version.
For brands planning a campaign
Useful for messaging tests. Grogan treats accurate math as the solved premise and transparency as the differentiator, so a joint campaign built around employee trust and self-service verification is closer to his existing voice than one built around payout speed alone.
A concrete multi-location outcome story with numbers, told through a customer rather than the vendor.
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Grogan relays an answer from Aimee Ketola about which TipHaus benefit had the most impact on her team: the servers, bartenders, and tip earners, a group that had never been on a product demo.
Tip detail used to arrive as a lump sum on a paycheck, with reporting available only by asking someone and waiting.
At Anthony's, every employee across 26 locations can now open the employee app and see what they earned and how, without waiting on a manager, which Grogan quotes as moving the conversation from "trust me" to "here's exactly how this works."
The account also configured server assistants to be tipped the same way at every restaurant so fairness held across the group.
Grogan cites roughly 7 hours a week and 28 hours a month returned to the bookkeeping team, and 8 or 9 minutes at close for each server and bartender.
For brands planning a campaign
Hands a partner fast, sourced proof points and a fairness framing — the same tip logic across every location in a group — that maps directly onto the multi-location operator brief.
Shows the podcast format and the kind of guest Grogan returns to: an early TipHaus customer who owns an independent restaurant.
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Grogan marks the 25th episode of Tipped Off and thanks past guests for sharing their stories.
The episode guest is Shireen Imani, owner of Chulita, described as a TipHaus customer since the early days whose restaurant has grown and built a community.
Grogan lists what the conversation covered: restaurant ownership, building community, tip transparency, team trust, rising costs, technology, and the lessons of staying true to a vision.
The post links out to the episode.
For brands planning a campaign
The podcast is an existing channel with an operator-heavy guest roster. A technology partner could propose a co-hosted episode or a sponsored segment, but should note that the reviewed evidence is the announcement post — not the episode audio or transcript — so the actual runtime content still needs to be checked.
The clearest evidence that Tipped Off covers vendor and tool evaluation, not only operator life stories.
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Grogan announces an episode with Justine Jobe of Point B about the evolving restaurant-technology landscape, including AI, operational challenges, and how leaders should evaluate solutions that deliver meaningful business impact.
Grogan calls Jobe one of the favorite people in the industry to talk with, and frames the episode around the future of hospitality.
The post links to the episode and tags it with restaurant technology, hospitality technology, restaurant operations, and leadership tags.
For brands planning a campaign
Suggests the podcast as a venue for a technology-partner conversation, since evaluating operational tools and cutting through technology fatigue is already the subject matter. A partner sponsorship would sit naturally alongside this episode type rather than forcing a topic change.
A compact example of the operator stories Grogan chooses to amplify, and the operating style he treats as exemplary.
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Grogan describes Le Great Outdoors, an outdoor-only restaurant that started over a single charcoal grill and became a Southern California favorite without raising money, and reports zero turnover.
Grogan highlights a chef who does simple dishes well and takes care of staff, plus a general manager who handles everything else, and notes the operation runs without loyalty programs or scheduling software.
The post links to the full conversation.
For brands planning a campaign
Sets expectations for tone. Grogan praises restaurants that stay lean and staff-first, including ones that run without a software stack, so a partner should expect an operator-first framing and be ready to show value against low-tech alternatives rather than assuming software positivity.
The values post: where the company's money and attention go outside product work, and how Grogan speaks to his network.
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Grogan explains that Pereira, Colombia is where TipHaus employees and their families live, and where the executive team holds its annual retreats.
After a magnitude 7.4 earthquake struck on August 10, he says TipHaus sent $10,000 directly to employees and their loved ones and asks his network to give to World Central Kitchen, which he describes as cooking alongside local restaurants in a city that lost its kitchens.
Grogan frames the appeal as the food industry showing up for its own, calling that the founding principle for TipHaus.
For brands planning a campaign
A sensitivity item rather than a sales one. Employee welfare, community ties, and the company's founding principle are part of the public voice, so a partner campaign should avoid treating them as promotional material or attaching commercial calls to action to them.
Lean operations and staff care in independent restaurants1
Restaurant technology and AI evaluation1
Tip transparency as the recurring argument
Grogan's most repeated point is that getting tip math right is only half the job; employees also need to see and understand what they earned.
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He describes TipHaus's origin as a manager's problem — manual, slow, contested tip reporting — and says solving it surfaced a second problem expressed through staff questions like "Why did my coworker get more than me?" and "Can you show me the breakdown?" The company's answer is an employee-facing app that shows the calculation without a manager's interpretation.
Frames the operational fix as having a follow-on trust problem, then presents employee-facing reporting as the response.
For brands planning a campaign
A partnership can go beyond "automate the payouts" messaging and address the trust and communication layer that follows automation — a stronger hook for operator audiences than efficiency claims alone.
Grogan argues cash payouts are not only a cash-handling issue but a labor issue, because bank runs, counting, envelope stuffing, discrepancy fixing, and payout disputes consume manager time.
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He writes that managers should be running restaurants, not sourcing cash and reconciling envelopes, and positions digital distribution as an operational upgrade for multi-location groups rather than merely a payments change.
Builds the argument as a short scripted dialogue between a CFO and a general manager to dramatize how the process persists unnoticed.
For brands planning a campaign
This is the most directly usable theme for a campaign about reducing cash handling: the CFO-versus-GM framing gives a co-created piece a ready conversational structure and a clear multi-location angle.
In a customer story about Anthony's and its 26 locations, Grogan describes the goal as fairness at scale — tipping a server assistant the same way at every restaurant.
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He ties the configuration decision to a staff that can verify that fairness themselves from their phones, and reports concrete time savings: roughly seven hours a week back for the bookkeeping team and eight or nine minutes at close for servers and bartenders.
Anchors the argument in named customer outcomes and specific time figures rather than general benefit claims.
For brands planning a campaign
Use the multi-location fairness angle for enterprise operators; the quantified time savings give a co-created asset proof points to build around.
Grogan traces TipHaus to 2018 and a manager's problem, then describes the product line moving toward a fully native mobile experience rebuilt on feedback from hundreds of thousands of hospitality employees.
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The narrative connects the original calculation problem to the later transparency problem and presents the app upgrade as the next step in that arc.
Tells the product history through a problem-solution-problem structure rather than a feature list.
For brands planning a campaign
A campaign series can follow the same arc — calculation accuracy first, employee trust and visibility second — giving multiple content beats instead of a single launch message.
Grogan hosts Tipped Off, a hospitality podcast, and uses LinkedIn posts to introduce episodes and guests.
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At 25 episodes he reflected on the guests who had shared their stories, and the milestone episode featured Shireen Imani, owner of Chulita, a TipHaus customer since the early days, covering restaurant ownership, community building, tip transparency, team trust, and rising costs. Other posts point to episodes with a chef and general manager from an outdoor-only restaurant and with a restaurant technology figure.
Introduces each episode with a short account of the guest and the topics covered, often noting a personal connection to the guest.
For brands planning a campaign
Podcast co-creation is a concrete partnership format here: a brand could supply a guest, a topic, or a segment, and Grogan's own posting habit already distributes episodes to his LinkedIn audience.
Lean operations and staff care in independent restaurants
One episode post profiles Le Great Outdoors, an outdoor-only restaurant that Grogan says achieved zero turnover, started from a single charcoal grill, and grew without raising money.
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He highlights a chef focused on simple dishes done well and staff care, plus a general manager handling everything else, describing the operation as lean while still caring for staff and guests.
Uses a single vivid counterexample — no loyalty programs, no scheduling software, no outside funding — to make the case that staff care does not require heavy systems.
For brands planning a campaign
Useful for content aimed at independent operators who are skeptical of new software; the story shows Grogan is willing to feature restaurants that run without much technology.
Grogan uses the podcast to examine the restaurant technology landscape, including AI, operational challenges, and how leaders can evaluate solutions that deliver meaningful business impact, in a conversation with a restaurant technology figure.
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The emphasis is on judgment about what to adopt, not on the technology itself.
For brands planning a campaign
Positions Grogan as a venue for solution-evaluation content, which fits a co-created piece that helps operators decide what to buy rather than only announcing a product.
After the Prosper Company show in Orlando, Grogan describes it as the only event where everyone shares knowledge to help others improve, and thanks a long list of people he spent time with. On Colombia's earthquake, he describes Pereira as a place close to TipHaus — where employees and their families live and where the executive team holds retreats — notes $10,000 sent directly to employees and loved ones, and asks his network to support World Central Kitchen, which he frames as the food industry showing up for its own.
Mixes event recap and personal connection with a direct fundraising ask to his own network.
For brands planning a campaign
Shows an audience of hospitality operators and a values-driven streak around community and industry relationships, which is relevant if a campaign wants to tie product messaging to industry support rather than straight promotion.
Kirk Grogan’s posts center on TipHaus, the tip-management company he says he and others started in 2018; he promotes its employee app, digital tip distribution, and cashless payouts.
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The clearest documented customer relationships are Anthony’s, a 26-location restaurant group, and Chulita, whose owner Shireen Imani has been a TipHaus customer since the early days and helped test the employee app.
Grogan also hosts Tipped Off, where he interviews hospitality operators, and he asks his network to support World Central Kitchen after the Colombia earthquake.
The reviewed posts do not document sponsorship, affiliate, investment, or employment relationships.
TipHaus
Owned business
Grogan writes that he and others started TipHaus in 2018 to replace manual tip reporting.
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Posts promote the TipHaus employee app, digital tip distribution, and a free trial, and refer to “our team” and “our latest version.”
Aimee Ketola of Anthony’s describes how the 26-location restaurant group uses TipHaus so employees can see tip calculations without manager interpretation; Grogan joins her to discuss the rollout.
Shireen Imani, owner of Chulita, has been a TipHaus customer since its early days; Chulita staff worked with TipHaus on its app, and Grogan features Imani on Tipped Off episode 25.
After a magnitude 7.4 earthquake in Colombia, Grogan says TipHaus sent $10,000 to employees and asks his network to donate to World Central Kitchen, which he describes as working with local restaurants on the ground.
Grogan hosts the Tipped Off podcast, which he says has reached 25 episodes; guests include restaurant operators and technology leaders discussing hospitality operations.
Kirk Grogan writes and talks about the operational side of restaurant tips and hospitality technology.
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The quickest way into his thinking is the Tipped Off podcast, where he interviews operators, chefs, and technology people about how restaurants actually run; the posts that introduce each episode give a short, plain-language summary of the guest and the topic.
If you want the core argument rather than the interviews, start with his posts on tip transparency and cash payouts: he treats accurate tip math as only the first problem and employee trust in the numbers as the second, and he makes the case that daily cash tips cost managers hours in bank runs, counting, envelope stuffing, and payout disputes.
From there the themes broaden into multi-location fairness, how operators should judge technology by business impact, and the industry habit of sharing what worked.
Several posts have no dates in the reviewed material, so read the ideas as a connected set rather than a strict timeline.
Patel also works the multi-location operations problem and the tension between corporate and local operators, including franchisees who feel corporate is out of touch and a post arguing that large multi-location brands are being skipped by AI search.
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Like Grogan, he explains an operational change by naming who pays the cost and who benefits.
Patel's angle is marketing and search visibility for franchise and multi-location brands, with AI recommendation as the current channel; Grogan's is restaurant labor and pay operations, especially tip distribution and the transparency problem that follows automation.
LaSov makes the same kind of argument Grogan makes, using a specific manual process, a measured time saving, and a statement that the real value is not just speed but what the freed-up person can now do.
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Both write about back-office work that consumes hours and about software that absorbs the digging.
LaSov's examples are enterprise finance and NetSuite work, such as payroll accruals, revenue analysis, and cash application for a CFO; Grogan's are restaurant tips, cash payouts, and staff-facing pay visibility.
Munz writes about restaurant technology and multi-unit franchise operations, and he uses the same critical move of starting from a concrete operator complaint and asking what the software is actually measuring.
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His post on six disconnected guest lists across six locations reads like Grogan's multi-location fairness argument applied to customer data instead of tips.
Munz focuses on loyalty programs and customer data strategy, including whether loyalty can prove incrementality; Grogan focuses on tip distribution, pay transparency, and the labor cost of cash handling.
Kirk Grogan's audience is made up of restaurant operators and the people who run tipped-wage payroll, not broad consumer or enterprise-software readers.
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A placement with him fits a brief aimed at owners, general managers, and finance leads at independent restaurants and small multi-location groups who are weighing how tips are calculated, paid out, and explained to staff.
The content evidence points in one direction.
His LinkedIn posts address operators directly about cash handling, tip transparency, and the hours lost to manual reporting, and they are written in operator language (bank runs, envelopes, spreadsheets, daily close).
The Tipped Off podcast is built on interviews with that same group: selected examples include Shireen Imani of Chulita, Chef Rodolphe Beuve of Le Great Outdoors, and Justine Jobe of Point B.
That is an operator-weighted audience rather than a technology-buyer audience, which suits a co-created piece on automating tip distribution but is less suited to reaching corporate IT or procurement readers.
Measured audience composition is thin.
The only audience figure available is a LinkedIn following of about 3,566 people as of 8 October 2026.
The reviewed posts carry no impressions, engagement, or viewer demographics, so nothing here shows how many of his readers actually make multi-location purchasing decisions.
Before committing budget, ask for the audience data this evidence cannot supply: follower breakdown by job title or seniority, company size, and geography, plus typical reach and comment mix on a tip-distribution post compared with a podcast episode, or an audience survey if one exists.
Treat topic fit as supporting evidence for this placement, not as proof of professional audience composition.
The reviewed posts show Kirk Grogan building collaboration around one main asset: the Tipped Off podcast, where restaurant operators and technology people tell their stories, plus joint live sessions in which a customer walks through results.
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Both are content collaborations, not advertised sponsorship packages.
Grogan also publishes product-and-offer posts with links, including a free-trial call to action, but the reviewed material shows those for his own tip-distribution product rather than for a third-party sponsor.
No published sponsor policy, media kit, rate card, deliverable list, disclosure practice, or partnership inquiry page appears anywhere in the reviewed posts.
A brand planning a co-created content campaign can therefore judge the fit and the likely shape of the work, but must ask Grogan directly about pricing, timelines, approval steps, and what each side commits to before writing a brief.
Guest conversation on Tipped Off
Buyer requirement
Supply a named guest who can speak from direct operating experience and who is willing to be recorded.
The reviewed episodes pair Grogan with an owner or vendor talking through a specific problem: restaurant ownership, community building, tip transparency, and team trust with Shireen Imani of Chulita; restaurant technology, AI, and how leaders evaluate tools with Justine Jobe of Point B; and an outdoor-only restaurant built without outside money with chef Rodolphe Beuve and a general manager.
Expect the conversation to be indexed with show notes, a listen link, and hashtags.
Provide the guest's concrete stories and numbers ahead of the recording, because the episodes are carried by specifics rather than by brand messaging.
Joint live discussion with a customer
Buyer requirement
Bring a customer who can present measured outcomes on camera and is willing to be named.
One reviewed post promotes a scheduled live session with Aimee Ketola of Anthony's, described as a 26-location group, covering the decisions, benefits, and needs of operators and staff, with quantified results cited: about seven hours per week returned to the bookkeeping team, roughly twenty-eight hours per month, and eight or nine minutes saved per server and bartender at close.
A buyer planning this format should have the customer approved for public attribution, the metrics ready to state plainly, and a landing link for registrations.
Product or offer post with a working link
Buyer requirement
Provide a live destination link and a benefit stated in operational terms.
Grogan's own posts show the pattern: a cash-tips post framed as a labor problem with a free-trial link, and a product launch post thanking a named restaurant and its owner for hands-on involvement.
No reviewed post shows this pattern applied to an outside sponsor, so treat any link-inclusive placement as something to negotiate explicitly rather than as a standing offering.
Strong fit, with one condition: the partner should be complementary to what Grogan already sells rather than a direct rival in tip distribution.
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Brief
A restaurant-technology company wants to assess Kirk Grogan for a co-created content partnership on automating tip distribution and reducing cash handling for multi-location operators.
Reasons
The brief's problem is the problem Grogan already argues about in public. One post builds a CFO-versus-general-manager dialogue around daily tip envelopes, bank runs, cash counting, discrepancy fixing, and a spreadsheet pulled out whenever an employee questions a payout, then frames the fix as an operational upgrade for multi-location groups rather than a payments upgrade. A partner does not have to introduce the topic; Grogan is already speaking to it in operator language.
The audience matches the buyer. Grogan's posts address owners, general managers, and finance leads at independent restaurants and small multi-location groups, and his podcast guests are drawn from that same world — an independent restaurant owner, a chef and general manager running an outdoor-only restaurant, and a restaurant-technology figure. That is the group a tip-distribution or cash-handling campaign needs to reach, and it is a better match than a corporate IT or procurement audience.
There are existing formats to plug into rather than inventing a new one. Tipped Off is an established interview show introduced through LinkedIn episode posts with a listen link and hashtags, and Grogan has run a joint live discussion with a named customer who presented measured results. Both are content collaborations a technology partner can supply a guest, a topic, or a segment to.
The recurring argument supplies several content beats, not one launch message. Grogan's sequence is consistent: getting the tip math right is only the first job, employees then need to see and understand what they earned, and at scale the goal becomes applying the same tip logic across every location so staff can verify fairness themselves. A campaign can run that full arc.
Concrete, sourced proof points already exist in the reviewed material: a 26-location customer whose bookkeeping team got roughly seven hours a week back, about twenty-eight hours a month, with servers and bartenders saving eight or nine minutes each at close. Those numbers came from a customer telling the story, which is the shape a co-created piece should take.
Conditions
Grogan runs TipHaus, a tip-distribution product, and the link-inclusive posts in the reviewed material promote that product. A vendor selling directly competing tip-distribution software is unlikely to get co-created content that promotes its own product; a complementary vendor — POS, payroll, scheduling, payments, accounting, or an operator-facing platform that integrates — fits the same problem and audience without the conflict.
No sponsor policy, media kit, rate card, deliverable list, disclosure practice, or partnership inquiry page appears in the reviewed material. Pricing, timeline, approval steps, and what each side commits to are open commercial questions, not settled parts of the fit.
When to choose a specialist
Poor fit as briefed.
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Brief
A workforce-compliance and HR software vendor selling to corporate HR, IT, and procurement teams at chains with 500 or more locations wants a high-volume paid awareness campaign aimed at those corporate buyers, with guaranteed impressions and a direct product endorsement from Grogan.
Reasons
The audience is wrong for the buyer. Grogan's content and guests point to operators — owners, general managers, and finance leads at independents and small multi-location groups — rather than corporate HR or procurement functions. Independents and small groups are often the ones still paying tips in cash, which is why the subject lands, but that is a different buying centre from a 500-location corporate team.
Nothing in the reviewed material shows reach Grogan could be asked to guarantee. The only audience figure available is a LinkedIn following of about 3,566 people, observed 8 October 2026. The posts carry no impressions, engagement, follower composition, or listener numbers, so an impression-guaranteed buy has no supporting evidence.
The content is operator storytelling and tool-evaluation discussion, not procurement or compliance material. Even the episode about evaluating restaurant technology is framed around judgment — how leaders cut through technology fatigue and decide what delivers business impact — not around corporate policy, vendor risk, or compliance workflows.
A direct product endorsement cuts against Grogan's own commercial interest. The reviewed posts with offers and links promote TipHaus itself, and the whole-page voice is operator-first and occasionally sceptical of software, including praise for a restaurant that runs with no scheduling software and no loyalty programme.
A guarantee of this scope is unsupported commercially. With no rate card, media kit, or sponsor policy in the reviewed material, fixed impressions plus an endorsement is a promise nobody in this evidence can make.
A worked campaign example
Angle
"From cash envelopes to a number every server can check" — a three-beat series anchored by one Tipped Off episode, with the partner supplying an operator guest who has actually made the switch.
Beat one
Detail
Open with a short CFO-versus-GM exchange about daily tip envelopes: bank runs, counting cash, stuffing and distributing envelopes, fixing discrepancies, and the spreadsheet consulted when someone questions a payout. Use the partner's own customer and the partner's own operational detail rather than repeating Grogan's phrasing. The point to land is that this is a labour problem, not just a cash-handling one — managers should be running restaurants.
Format
LinkedIn post in Grogan's dialogue style
Beat three
Detail
A named customer walks through results in plain numbers — hours returned to bookkeeping, minutes saved per server at close, fewer payout disputes. The reviewed material shows this shape already: a live session with a 26-location customer reporting roughly seven hours a week back for bookkeeping, about twenty-eight hours a month, and eight or nine minutes saved per server and bartender at close. The partner states its own measured figures the same way, with the customer approved for public attribution.
Format
Joint live session or follow-up post with measured outcomes
Beat two
Detail
The guest is an owner or operations lead at a multi-location group who moved off cash payouts. The conversation covers fairness at scale — tipping a server assistant the same way at every restaurant — and what changed once employees could check their own numbers instead of asking a manager and waiting. Grogan's episode posts introduce the guest, summarise what was covered, and link out, so the partner should expect the episode to be indexed with a listen link and hashtags.
Format
Tipped Off episode with a partner-supplied guest
Brief
The restaurant-technology brief: co-created content on moving multi-location operators from cash tip payouts to digital distribution.
Settle first
Pricing, timeline, approval steps, and who owns the resulting episode and posts — no rate card, media kit, or sponsor policy was in the reviewed material.
Disclosure wording for a sponsored or co-produced episode, and whether the partner may use clips, the transcript, or the guest's name in its own marketing.
Written approval from the guest's employer for public attribution, since the strongest existing examples name the customer and their location count.
Whether the partner is complementary to TipHaus rather than a competing tip-distribution product.
Why it works
Each beat uses a format Grogan already runs, on a theme he already returns to, and each beat answers a question a multi-location operator has to decide: is cash handling really costing us manager time, will staff trust the numbers, and does the same tip logic hold across every site. A reader gets an operational decision walkthrough with inspectable numbers, not a product announcement.
When the campaign's problem is being found rather than being paid correctly.
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Patel's reviewed posts address the same multi-location buyer from the marketing side: one reports that brands with thousands of locations appear in Google's top three about 36% of the time while ChatGPT recommends those locations about 1.2% of the time, walks through how AI decides which location to recommend, and includes a live test asking ChatGPT for an auto shop near me where no big national brand came back.
The second frames the corporate-versus-franchise split in one line — corporate hears "this builds the brand," the operator hears "this doesn't pay me this month" — and notes that when the company runs on royalties and the locations run on margin, a win at the top can be a loss at the bottom.
If the partner sells discoverability, franchise marketing, or local-visibility software to brands with many locations, this puts the brief in front of brand-side decision makers, which is a different room from the one Kirk Grogan's operator storytelling reaches.
The subject is acquisition and brand visibility, not tip distribution or cash handling.
Neither reviewed post touches payroll, tipping, or back-of-house operations, so a tip-technology partner would have to change the campaign topic to use them, and a co-created series on cash payouts would have no existing thread to attach to.
The audience also skews corporate and franchise-marketing rather than the owners and general managers who run the tip pool, and the examples range across national consumer brands and auto shops rather than hospitality.
A partner gets wider top-of-funnel marketing framing in exchange for losing the operator-language proof that Grogan already supplies.
When the partner wants finance and back-office buyers — CFOs, controllers, NetSuite and ERP administrators — and wants finished, numbers-first case studies instead of an interview format.
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LaSov's reviewed posts are built from five named automations at one AI platform: bills of lading matched to existing sales orders turned a six-hour weekly task into five minutes; payroll accruals covering 1,000 employees across 18 subsidiaries and all 50 states came down from eight hours a week to two minutes; revenue analysis that took a CFO at a $250M company three to four days each month now takes about 30 minutes and surfaced variances the CFO had not known were there; an order-entry agent removed the need to fill an open position; and cash application eliminated eight hours of manual work a week.
The second post takes that last theme and makes the argument explicit — let the agent dig, give the CFO the 30 minutes to ask better questions.
A partner selling automation that touches money movement, reconciliation, or payroll could plug straight into the before-and-after structure and the "put an agent on it" frame.
The industry is wrong for a restaurant-operator campaign, and nothing in the reviewed posts is hospitality content.
The examples are ERP finance processes at unnamed companies, the audience is finance and systems rather than restaurant owners and general managers, and there is no podcast, live session, or guest format to supply a topic or a guest to.
The posts also function as product demonstrations for one platform, so a partner would be borrowing the format and the measured-results discipline rather than reaching a restaurant audience.
Choosing LaSov means a sharper, better-quantified case-study style aimed at a buyer who is not the tip-pool decision maker.
When the campaign moves from tip payouts to guest relationships and data across franchise locations.
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Munz's reviewed posts sit closest to Grogan's industry and furthest from Grogan's subject.
One describes looking at a multi-unit franchise brand's customer database and finding six disconnected guest lists for six locations: a customer who signed up at one store had no record at another two days later, corporate could not send a system-wide announcement, and the franchisee was still exporting spreadsheets by hand.
The other argues that legacy loyalty platforms collect data and points without giving operators an actionable strategy, that most programs reward behaviour that was already happening, and that airline-style points are deferred liability rather than loyalty — then asks what would make an operator trust a loyalty program's numbers.
A partner selling guest data, CRM consolidation, or loyalty services to franchised restaurant groups would get an operator-facing voice willing to name the uncomfortable part of the category, aimed at the same multi-unit restaurant audience Grogan reaches.
Tips and cash handling are absent; Munz's material is loyalty and customer-data infrastructure, so a tip-distribution brief would have to be re-scoped.
The reviewed posts are diagnostic — problems, patterns, and open questions — rather than before-and-after results, and the loyalty post closes by asking the reader a question instead of presenting an outcome.
There is no interview or live-session format in the evidence, and no audience figures, so a partner would trade Grogan's documented operational proof points and existing show formats for a more distinctive data argument carrying less measured evidence.
This profile draws on eight LinkedIn posts by Kirk Grogan, all read in full.
They cover the origin of TipHaus, the argument that accurate tip math is only the first problem and employee understanding is the second, cash tip payouts framed as a labor cost, a customer example spanning 26 restaurant locations, introductions to Tipped Off podcast episodes, a story about an independent restaurant that grew without standard software, a trade show recap, and an earthquake relief appeal for Colombia.
No publication dates were present in the reviewed posts, so the ideas are presented as a connected set rather than a strict timeline; the export snapshot recorded a LinkedIn following of roughly 3,566 people on 8 October 2026.
Tipped Off episodes themselves were not available as audio or transcripts, so anything said on the show is known only through the posts that introduce each episode and is attributed to the guest rather than to Grogan.
Comparisons with other creators draw on posts by Neil Patel, Josh LaSov, and Chris Munz, which carried dates from August to October 2026.
No sponsor policy, media kit, rate card, or partnership inquiry page appeared in the reviewed material, so commercial terms are treated as open questions rather than established facts.
Recent engagement
Across their last 9 LinkedIn posts, the median post got 11 reactions and 0 comments. Checked 2026-11-02.
