# Tom Veysey

Tom Veysey is a founder at Perch who builds custom AI and automation systems for ecommerce businesses, including tools for tracking true profit and creating ad creative.

- Profile: https://b2binfluencer.marketing/creators/tom-veysey/
- LinkedIn: https://www.linkedin.com/in/tom-veysey
- LinkedIn followers: 6,223
- YouTube: https://www.youtube.com/channel/UCnr6hDczwUEg4I9Xccyb6Yw
- Topics: artificial-intelligence, ecommerce, sales, paid-ads
- Based on 21 dated posts, latest 2026-09-28

## Summary

Tom Veysey is most useful for custom AI and automation systems for ecommerce finance and ad creative.

- Best for: Ecommerce automation agencies needing a delivery partner for Shopify finance and creative workflows.
- Not for: B2B SaaS vendors or lead-data providers wanting sponsored placements with brand-authored scripts.
- Check first: Ask for recent audience survey results or campaign delivery data before contacting them.

### Takeaways

- They connected five Shopify stores, ad accounts, banks and payment processors for true profit tracking.
- A live dashboard is not necessarily an accurate finance function.
- A barber project used Google Sheets rather than a custom app because it was sufficient.

## Main ideas

- **Most ecommerce brands cannot see their true profit**: Veysey treats true profit per order—not revenue or attribution—as the number that matters. They argue common dashboards miss fees and deductions outside Shopify: PayPal, Klarna, AmEx and international card charges, currency conversion, chargebacks, refunds issued inside PayPal, ad taxes, tariffs and bank fees deducted as payouts land. Their solution is to connect every store, Meta account, bank and processor, then keep supplier costs current through an API.
- **Live dashboards can be inaccurate; custom data connections are the fix**: Veysey separates attribution from profit. Triple Whale is a cracking tool for attribution, they say, but poor for profit tracking: it does not pull real fees for processors outside Shopify Payments and uses one guessed percentage per processor. Accounting tools often have the same gap, with PayPal fees arriving as a monthly lump rather than per order. They argue live, accurate per-order profit is possible without waiting for month-end close or hiring virtual assistants.
- **The AI CFO should live where the client already works**: Veysey's finance pitch is not another dashboard login. They install an agent in the client's chat app or Slack, connect it to Shopify, banks, Meta and Google Ads, and set it to flag anomalies, send daily and weekly briefs, and answer natural-language questions about the business. They frame the AI CFO as the most cost-effective finance hire a client will make.
- **Custom builds beat renting software by a percentage of GMV**: Veysey argues the days of paying a percentage of GMV to SaaS are fading. Perch's builds are custom and owned by the brand, connected to every data source where off-the-shelf tools stop. They apply the same approach to ad creative: instead of paying a markup through Higgsfield, Perch builds platforms that call image-generation models directly on the client's own API keys.
- **Ad creative can be automated from proven winning patterns**: Veysey describes a workflow that scrapes winning ads from brands chasing the same audience, uses Claude Code to break them down and blend them with the brand's guidelines and product photos, generates new creative, and saves the files in Google Drive ready to launch. The next step is launching campaigns automatically through Meta Ads MCP.
- **A paid audit is the front door**: Veysey productized the first step as a $999 Profit Leak Audit. They promise a full refund if annualized savings do not exceed the fee; if the client proceeds to a build, the fee is credited. The audit is a paid diagnostic and the entry point to larger true-profit work.
- **Do not over-engineer a tool just because you can**: A recurring priority is choosing the simplest system the client will actually adopt. Veysey recommends a robust Google Sheet over a custom app when it is enough, a lesson they say came from working with a barber.
- **Test offers in public, then narrow around demand**: Veysey documents the commercial side of building Perch. After leaving outbound, they said yes to everything for five months, audited the six different things they had been paid for, and kept the two strongest: AI CFO and AI Ad Engine. They call specialization in one offer the ideal, but say the business is still testing two.
- **Outbound habits transferred to ecommerce**: Veysey says half the practices considered normal in outbound are far less common in ecommerce, and that gap is an opportunity. Their outbound posts show the same operator-level approach: de-anonymize site visitors, enrich and score them, then get a Slack alert when someone visits a high-intent page; log calls in the CRM; monitor campaigns and deliverability; consolidate tools; and use social listening to gather customer language. Some posts are labeled as ads or partnerships.

## Work to read

- [The client with 438 products across five stores](https://www.linkedin.com/posts/tom-veysey_this-is-the-biggest-discovery-ive-had-in-activity-7486054357558505472-XNs-)
- [The gap Veysey saw between outbound and ecommerce](https://www.linkedin.com/posts/tom-veysey_i-dabbled-in-ecom-years-ago-and-as-you-activity-7492854781015863297-Hwaf)
- [Three projects from the first two months working solo](https://www.linkedin.com/posts/tom-veysey_i-went-solo-heres-what-the-first-2-months-activity-7468255301486448640-x8DU)
- [Five months of saying yes, and the two offers that survived](https://www.linkedin.com/posts/tom-veysey_i-said-yes-to-everything-for-5-months-on-activity-7501230238144569346-DygP)
- [The six profit leaks found in one $10M store’s books](https://www.linkedin.com/posts/tom-veysey_ecom-founders-feeling-blind-to-your-finances-activity-7503031879848300546-7N2b)
- [Why Veysey says Triple Whale is the wrong tool for profit](https://www.linkedin.com/posts/tom-veysey_unpopular-opinion-triple-whale-is-activity-7503739278762508288-n_gW)
- [Nineteen thousand receipts from social listening](https://www.linkedin.com/posts/tom-veysey_most-founders-guess-what-their-customers-activity-7489984237903691776-GnZ9)
- [How Veysey handles a sponsorship request](https://www.linkedin.com/posts/tom-veysey_aircall-ai-better-customer-communications-activity-7490345811659120640-qe9z)
- [An outbound-side view of AI agents in sales teams](https://www.linkedin.com/posts/tom-veysey_dear-sales-leaders-the-problem-isnt-your-activity-7433088997721120768-YyYD)

## Brand relationships

- **Perch** (owned_business)
- **Aircall** (sponsor)
- **FullEnrich** (disclosed_partnership)
- **Smartlead** (mention)

## Partnerships

Tom Veysey's posts show two disclosed commercial relationships and a service business, but no published sponsorship policy, media kit or rate card. The two clearly disclosed sponsored posts are both for Aircall, the calling and CRM software they use for their own cold-call workflow: one (16 June 2026) is labelled #ad with a tracked signup link; the other (4 August 2026) opens by saying they turn down most sponsorship requests and said yes to this one, again with a signup link. A separate relationship with lead-data vendor FullEnrich is stated in a 9 February 2026 post, where they label themself a partner and walk through the product's sources, filters and API. The posts do not state fee, duration, exclusivity, approval rights or reporting; ask for these terms before agreeing a campaign. They also write positively about Smartlead in January and February 2026 without any paid-partnership disclosure, so payment is unconfirmed and should not be assumed. Their commercial model is their own service business, Perch: two named offers, AI CFO and AI Ad Engine, scoped and priced through direct conversation rather than a public rate card, with a $999 Profit Leak Audit credited to the build as the documented paid entry step. The posts show no official partnership or sponsorship inquiry route; ask whether a LinkedIn direct message is the preferred contact route.

## Alternatives

- Asad Khan: Choose Asad Khan when the need is to convert traffic once it reaches a store, rather than build automated finance and ad-creation systems. The posts describe rebuilding a store to cross $100,000 in sales by making it look like a real brand, answering customers’ questions before they ask, testing several creative angles instead of relying on one winning ad, and scaling gradually rather than forcing growth. Another post argues that the best marketers study people, not ad platforms, because messages convince people and platform settings do not. For an agency whose client already has a builder and needs to improve storefront trust and test creative angles first, Khan is the closer match. The work shown is manual: store rebuilds, creative testing and recorded Loom audits of a store, product page and ad funnel. There is no finance integration, API plumbing or repeatable automated delivery system shown, so a client seeking a live profit engine or an ad engine running on its own API keys would still need a builder such as Tom Veysey.
- Joshua Graham: Choose Joshua Graham when the agency’s client needs to decide what to sell, how much it can afford to spend acquiring a customer, or how to count demand that converts somewhere other than the site. The posts analyse P&G’s $3.8 billion purchase of a supplement brand and Unilever’s reported $1.2 billion purchase of another. They argue that the buyers paid for customer economics, clear positioning and repeat purchase behaviour, including the claim that one founder runs the business at a minimum three times fully burdened LTV to CAC. Another post argues that Meta creates demand that Amazon harvests, so a brand focused only on Shopify ROAS may pull back spend even when its real acquisition cost is lower than the dashboard shows. For a client tackling growth economics or channel attribution before any build, this analysis is the better starting point. The posts offer analysis and recommendations, not delivery. For AI-driven finance and creative workflows, the client would still need an implementation partner; that work appears in Tom Veysey’s posts.
- Abraham Buchinger: Choose Abraham Buchinger when the client needs channel and messaging strategy before anything is built. One post argues that better tools do not raise sales without a decision owner, that traffic and messaging should be fixed before conversion work or email design, and that clear offers and plain communication beat polished design. Another reports Google expanding shopping inside Gemini with Walmart, Shopify and Wayfair, notes shoppers using AI during their buying journey, and argues that single-channel Amazon brands face rising platform risk. For a client still deciding where demand should start and who owns each decision, this framing is useful before implementation. The posts offer commentary, not delivery: they do not show a finance build, ad engine or custom automation work.

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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/