To Amazon brand owners, operators, and PPC leaders...
How To Blow UpThe Profit LeaksThe Profit Leaks
If your team is working harder but margin still feels harder to keep, the issue is probably not effort. It is the hidden roadblocks between pricing, PPC, inventory, and the operator's next decision.
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The speed execution trap Amazon teams fall into every day
Watch the free workshop
This is a practical session on finding the leaks that make good Amazon teams leave money on the table, then using AI employees and guardrails to turn those leaks into action.
24X
ROI example
$215K
Incremental annualized profit
30%
Profit lift example
What selling on Amazon has taught us
Most profit problems are hiding in the gap between teams.
Amazon operators are not short on tools. They are short on connected judgment. PPC has one dashboard. Pricing has another. Inventory lives somewhere else. Finance shows up after the month is already gone.
That is how a brand can be busy every day and still miss the simplest profit move: charge more where demand allows it, pull back spend where margin cannot support it, and protect stock before growth creates a new problem.
- +First, we will make the roadblocks visible. You will see the patterns that make profitable SKUs look average and unprofitable campaigns look acceptable.
- +Then, we will show the operating loop. The goal is not another report. The goal is an exception-driven system that tells the operator what deserves attention now.
Why most teams are stuck
Why most Amazon teams are not seeing the profit they should.
The painful truth: most brands do not lose profit because the team is lazy. They lose it because each function optimizes its own scoreboard.
PPC tries to grow sales. Pricing tries not to hurt conversion. Inventory tries to avoid stockouts. The operator is left stitching together the answer manually after the opportunity has already moved.
- +PPC alone cannot see the full answer. A keyword can look expensive because the price is wrong, the margin is too thin, or inventory should not be pushed.
- +Pricing alone cannot see the full answer. A price increase can be smart or reckless depending on rank, stock, competition, and traffic pressure.
- +Dashboards do not solve the operator bottleneck. Someone still has to convert scattered signals into a safe next move.
What changes when you connect the work
How to find the margin move hiding inside your existing catalog.
The fastest profit lift usually does not start with more traffic. It starts with finding where customer willingness to pay, inventory position, and ad pressure are out of sync.
When those signals work together, the decision gets clearer: raise price, hold price, reduce waste, protect rank, or escalate to a human because the context is ambiguous.
- +You will see how to inspect a SKU for hidden price power. Not by guessing, and not by blindly chasing competitors.
- +You will see how PPC decisions change when margin is visible. Some campaigns need budget. Others need a pricing fix or a stock-aware pullback.
- +You will see how guardrails keep AI useful. The system should know when to recommend, when to act, and when to ask for judgment.
Who this is not for
This might not be for you if you want another generic AI demo.
This workshop is not built for people looking for a clever prompt list or a broad trend talk about AI. It is for operators who care about the profit line and want a more connected way to run the business.
If you want passive content, this is probably not the right hour. If you want to diagnose the gap between price, traffic, stock, and margin, it is.
- +Skip it if you do not own the economics. The session assumes you care about contribution profit, not just impressions or revenue.
- +Skip it if you want black-box automation. We will talk about approval levels, evidence, and where humans still make the call.
- +Come if you want the operating system. The useful part is seeing how the signals connect and how decisions get routed.
Introducing the Profasee loop
AI employees for Amazon profit decisions, not just prettier reporting.
Profasee is built around a simple belief: price, PPC, inventory, and rank should not be managed as disconnected workstreams.
The AI employee model lets each function inspect its domain, share context with the others, and deliver an operator-ready brief with the exception, the evidence, and the recommended next move.
- +Oracle inspects pricing power. Where can the brand charge more without destroying momentum?
- +Marko inspects PPC waste and opportunity. Where is spend working, and where is it hiding a pricing or inventory issue?
- +Bruno inspects inventory pressure. Where should traffic, price, or rank protection change because stock context changed?
What people are seeing
Real operators already found profit hiding in plain sight.
30% profit lift
“Profasee has forced me to rethink pricing. Now, it looks like the profits are just going to keep rolling in.”
Max Sigurdson-Scott
CEO, MESS Brands
$90K annualized profit
“Profasee helps you unlock profit with your hands off the wheel and removed the guessing game of the Amazon algorithm.”
Lance Robinson
Founder & CEO, Wall Charmers
27% profit increase
“Everything else stayed the same. I just implemented Profasee and increased profit straight to the bottom line.”
Mike Nunez
CEO, Coral Safe
Here is a small taste of what you will discover.
- +Why ACOS can make a campaign look bad when the real issue is price or contribution margin
- +How to spot SKUs that can support a stronger price without blindly following competitors
- +Why inventory cover should change the way PPC, price, and rank protection are handled
- +How to separate decisions AI can recommend from decisions AI should not make alone
- +The morning brief format that turns scattered data into a short list of operator decisions
- +How to stop treating pricing as a maintenance task and start treating it as a profit lever
- +Why more traffic can make profit worse when the catalog economics are misaligned
- +How Profasee connects Oracle, Marko, Bruno, and Claudia into one operating loop
Yes, I want to find the profit roadblocks.
Reserve your seat
Join the live Profasee workshop and learn how to find the roadblocks between Amazon ads, pricing, inventory, and real margin.
- +Live 60-minute session with Chad Rubin
- +Confirmation page and calendar link after registration
- +Built for private-label Amazon operators and PPC leaders
Free
Talk to Profasee
If you already know pricing and PPC are disconnected, apply to see whether Profasee is a fit for your Amazon catalog.
- +AI employees for pricing, PPC, inventory, and operator briefs
- +Guardrails designed for real Amazon account decisions
- +Built by operators who know the profit problem firsthand
Application
Free live workshop
Thursday, May 7 | 1:00 PM EDT | Free