# Laurie Kacinski

Laurie Kacinski helps brands understand and protect their presence across online marketplaces. Their posts focus on finding unauthorized sellers, tracking pricing and Buy Box changes, tracing inventory, and spotting listing changes across Amazon, Walmart, and other retail channels.

- Profile: https://b2binfluencer.marketing/creators/laurie-kacinski/
- LinkedIn: https://www.linkedin.com/in/laurie-kacinski-40bb8431
- LinkedIn followers: 4,016
- Based on 9 dated posts, latest 2026-10-08

## Summary

Laurie Kacinski is most useful for brand-protection content about unauthorized sellers, pricing, Buy Box loss, inventory, and listing changes.

- Best for: A marketplace brand-protection software company wanting educational content on unauthorized seller detection and pricing control.
- Not for: Seller-acquisition campaigns targeting third-party sellers or small merchants with short-form video and reach goals.
- Check first: Ask for LinkedIn audience demographics and recent post performance on comparable marketplace-protection topics.

### Takeaways

- A brand faced 3,395 unauthorized Amazon sellers and no documented authorized-partner list to measure them.
- Third-party Walmart offers for a household goods brand averaged 41% below its everyday price.
- Removing a seller clears a listing; tracing lot codes closes the leak.

## Main ideas

- **A sales dashboard shows outcomes, not control**: Kacinski's starting claim is that sales tell a brand little about whether it still controls its product. The dashboard shows a result, not the sellers, prices, inventory, or listings producing it. The priority is to build a system that watches those underlying signals instead of reacting once the damage reaches revenue.
- **An unauthorized-seller count is only meaningful against an authorized-partner list**: Kacinski sizes unauthorized selling by counting the sellers a brand did not approve and measuring that against a documented list of its authorized partners. Without the list, a team can see something is wrong but cannot say how large the problem is, which sellers are legitimate, or which sellers a removal effort should target.
- **A price break on one marketplace becomes a price break everywhere**: Kacinski treats price as a cross-channel problem, not a listing-level one. When a third-party offer undercuts a brand on one marketplace, retail partners see it and match it, eroding margin across every channel. The cost of waiting is not confined to the marketplace where the violation appeared.
- **Losing the Buy Box redirects revenue rather than removing it**: Kacinski frames Buy Box loss as a demand question, not a listing-hygiene question. When the Buy Box moves, demand does not disappear; it goes to a seller the brand never approved. Because the loss can be intermittent, it rarely registers as an incident in the reports a team already reads.
- **Removing a seller clears a listing; tracing lot codes closes the leak**: Kacinski separates enforcement from diagnosis. Taking down a seller resolves the listing but leaves the supply route open to the next seller, so the stock's origin has to be traced before the problem is closed. Which team owns the fix depends on what the tracing finds.
- **Manual checking cannot keep pace, so monitoring should return context**: Kacinski frames the practical problem as timeliness, not a shortage of data. Teams already look for new sellers, price changes, Buy Box movement, inventory shifts, and listing updates; marketplaces simply change faster than a person can check. Teams need not more notifications but the ability to say what changed, why it changed, and what to do next.
- **Amazon's multichannel tools raise the bar for visibility**: A platform feature announcement becomes a brand-protection question. If a seller can connect eBay, Shopify, TikTok Shop, and Walmart accounts and move listings with a few clicks, an unauthorized seller, a low price, diverted inventory, or a listing problem on one marketplace can reach the others faster than before. The argument is not that multichannel selling is bad — it is how many legitimate partners grow — but that checking each marketplace separately no longer shows the whole picture.

## Work to read

- [Five marketplace signals sales reports can miss](https://www.linkedin.com/posts/laurie-kacinski-40bb8431_somewhere-out-there-a-brand-is-opening-their-activity-7512844326599655424-ip2g)
- [Amazon’s multichannel tools raise a visibility question](https://www.linkedin.com/posts/laurie-kacinski-40bb8431_amazon-just-made-it-a-lot-easier-to-sell-activity-7513942757187518464-ib5-)
- [From marketplace alerts to useful context](https://www.linkedin.com/posts/laurie-kacinski-40bb8431_ive-spent-years-watching-brands-manage-their-activity-7511395656318599169-eSRM)

## Brand relationships

- **POTOO** (disclosed_partnership)

## Partnerships

Laurie Kacinski's LinkedIn posts show educational, vendor-style content, not a public media kit or sponsorship menu. They walk brand teams through marketplace problems a brand-protection system is designed to catch—unauthorized sellers, pricing violations, Buy Box loss, inventory diversion, and listing changes—and describe results in named brand situations, including removing 72% of unauthorized sellers and lifting 1P sales 65% for a health and wellness brand. One post closes with a direct call to book a 30-minute call through a shortened link; another names POTOO® as the tool that helps brands protect control across Amazon, Walmart, and thousands of retailers. For planning, treat Kacinski as a potential partner for sponsored educational content, but ask directly about sponsorship terms, placement, disclosure, exclusivity, review rounds, and whether their employer or platform limits the brands they can work with.

## Alternatives

- Cristian Lopez: Choose Lopez when the deliverable needs to show a brand team how to take action, not just why to monitor. Their posts walk through specific enforcement steps: how to report a branded product listed as Generic through Amazon's listing-policy route, what the report must say (that the product is branded and registered under the brand's trademark, that listing it as generic misleads customers, and that removal is requested on listing-policy grounds), and what to leave out (a trademark-infringement claim, which routes the case to the Report a Violation tool instead). One post attaches a number to the problem: a "Generic" listing generating $44K a month. Another argues that MAP enforcement and unauthorized-reseller management usually stall inside overloaded ecommerce teams, and that continuous monitoring plus a process for turning findings into action makes enforcement stick. For a how-to module on removing unauthorized or misattributed listings, Lopez supplies procedural detail absent from Kacinski's posts.
- Osaf Ali: Choose Ali when the campaign moves to the seller side of the marketplace: Amazon account health, appeals, and FBA operational constraints. One post covers Amazon replacing the account-health interview with a documents-only process and lists the supply-chain paperwork a distributor-sourced case typically needs—brand-to-distributor and distributor-to-seller letters of authorization, warehouse agreements and invoices, distributor-to-prep-warehouse tracking, and a signed bill of lading from the prep warehouse to Amazon—while noting there is no universal document checklist. The other explains how sellers stuck with meltable inventory in FBA can clear it by creating an FBM offer on the same ASIN and fulfilling through Amazon MCF. It also notes the routine check of downloading the meltable ASIN list before shipping between March and October. This is relevant if the software company also sells account-health or appeals capability alongside brand protection, or wants content aimed directly at sellers rather than the brands managing them.
- Alden Wonnell: Choose Wonnell when the campaign is about agency growth and brand-partner operations rather than protection. Their posts describe a deliberate pivot away from startup sellers toward established brands: about 90 percent of accounts now mid-seven- to mid-eight-figure brands, churn under 7 percent, expansion from Amazon into Walmart, Target, and Shopify, and a focus on large catalogs up to 100,000-plus SKUs that have plateaued on revenue or profit. A second post details hiring: 20 people in four months, the distinction between leadership and operational hires, use of the Predictive Index for culture fit, and the observation that most firings trace to culture fit rather than skill. This material fits a campaign about scaling an ecommerce practice, managing large-catalog brand relationships, or building the team behind that 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/