# Kirk Grogan

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.

- Profile: https://b2binfluencer.marketing/creators/kirk-grogan/
- LinkedIn: https://www.linkedin.com/in/kirk-grogan
- Median of last 9 posts: 11 reactions, 0 comments (checked 2026-11-02)
- Based on 8 dated posts, latest 2026-10-01

## Summary

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.
- Check first: Confirm audience data: job titles, company size, geography, reach, and comment mix.

### 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.

## Main ideas

- **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. 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.
- **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. 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.
- **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. 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.
- **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. 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.
- **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. The emphasis falls on judgment and meaningful impact rather than on the technology's novelty.
- **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. 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.

## Work to read

- [Cash tip payouts are a labor problem, not just a cash-handling problem](https://www.linkedin.com/posts/kirk-grogan_start-your-tiphaus-free-trial-simplify-activity-7485811272588947456-c7Sp)
- [Why TipHaus started: a manager's problem, then a transparency problem](https://www.linkedin.com/posts/kirk-grogan_we-started-tiphaus-in-2018-to-solve-a-managers-activity-7500949653606297600-Wbr0)
- [What 26 locations look like after switching tip distribution](https://www.linkedin.com/posts/kirk-grogan_anthonys-automated-tip-compliance-across-activity-7493741191566450689-OMnE)
- [Tipped Off, episode 25: Shireen Imani of Chulita](https://www.linkedin.com/posts/kirk-grogan_building-a-restaurant-around-community-staying-activity-7510412070123761665-EPB6)
- [Tipped Off: restaurant technology, AI, and how operators evaluate tools](https://www.linkedin.com/posts/kirk-grogan_tech-fatigue-is-real-cutting-through-the-activity-7491145363035172864-dcCG)
- [Le Great Outdoors: a no-investor restaurant with zero turnover](https://www.linkedin.com/posts/kirk-grogan_no-investors-no-kitchen-no-problem-how-activity-7501361176703062016-JqdN)
- [TipHaus's Colombia earthquake response and the World Central Kitchen appeal](https://www.linkedin.com/posts/kirk-grogan_donate-to-world-central-kitchen-activity-7495945975526486016-t4V4)

## Brand relationships

- **TipHaus** (owned_business)
- **Anthony's** (client)
- **Chulita** (client)
- **World Central Kitchen** (mention)
- **Tipped Off** (mention)

## Partnerships

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. 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.

## Alternatives

- Neil Patel: When the campaign's problem is being found rather than being paid correctly. 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.
- Josh LaSov: 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. 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.
- Chris Munz: When the campaign moves from tip payouts to guest relationships and data across franchise locations. 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.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/