# Mohammed Jamil

Mohammed Jamil works with e-commerce brands on Amazon growth and profitability, product launches, and the systems behind online stores. Their posts also cover selling across Amazon, TikTok Shop, and direct-to-consumer channels.

- Profile: https://b2binfluencer.marketing/creators/mohammed-jamil/
- LinkedIn: https://www.linkedin.com/in/aiecommercesystems
- LinkedIn followers: 7,732
- Topics: artificial-intelligence, ecommerce, unit-economics
- Based on 13 dated posts, latest 2026-10-05

## Summary

They are most useful for Amazon profit audits, scaling readiness, and fee and margin checks, not creator placements.

- Best for: This fits a supplement brand on Amazon facing fee changes or scaling uncertainty and seeking a profit-leak audit.
- Not for: Not for brands wanting sponsored LinkedIn posts for supplement buyers, fixed fees, or audience reach guarantees.
- Check first: Confirm whether they take sponsorships, and request terms, audience demographics, and supporting data.

### Takeaways

- A $0.31 per-unit fee rise cost a supplement brand $9,300 monthly.
- Four scaling checks: supplier capacity, contribution margin, financial ownership, cash flow.
- Establish Amazon profit before Shopify; give each product its own landing page.

## Main ideas

- **Audit margin impacts from fee increases instead of cutting ads or raising prices**: Jamil argues that when Amazon raises fulfilment fees, cutting PPC budgets or raising retail prices both slow a brand down. The fee change signals costs inside the account that have gone unexamined: inventory sitting too long, product dimensions nobody has revisited, or inbound freight that was never renegotiated. The task is to find the leaks and absorb the increase rather than pass it on or starve the ads.
- **Scale readiness, not marketing, decides whether a launch works**: Jamil argues that most brands think they are ready to scale when they have a good product and some capital, but scaling exposes gaps that slow growth never does: a supply chain that cannot handle a spike in orders, a team built for smaller months, and financial tracking too loose to show real unit economics under pressure. They say those gaps should be fixed before more money goes into growth and that they have turned down brands that failed that test.
- **Fix Amazon profit before building a direct-to-consumer store**: After auditing more than 150 Amazon brand websites, Jamil argues that adding a Shopify store while Amazon profit is bleeding splits focus instead of compounding it. Amazon works as a search engine, where bullet points and keyword density convert; a brand's own site is a brand experience, where the same structure costs trust. Sending paid traffic to a generic homepage, they argue, loses the sale in the extra clicks.
- **AI amplifies expertise; it does not supply it**: Jamil argues that AI outputs turn generic without domain knowledge behind the prompt, and that the people getting useful results are those with the most expertise to feed it. They frame AI as speed applied to existing judgment and spell out what it cannot do: know what good looks like in a specific industry, spot the mistake that cost money last year, make the call when data is unclear, or build trust with the person across the table.
- **Learn the skills you refuse to outsource**: Jamil's career story makes a broader argument about where operating skill comes from: the best operators, they say, are not the ones with credentials but those forged by problems they would not hand off. In their account, refusing to outsource a problem forces the learning that later becomes an advantage.
- **Watch Amazon's platform direction and adapt early**: A recurring priority in Jamil's posts is keeping up with what Amazon announces for sellers and treating changes as things to adopt rather than wait out. Here, the post reports conference announcements rather than analysing them, so the argument is thinner than elsewhere; it still shows where their attention sits.

## Work to read

- FBA fee increase audit: the $9,300 per month a supplement brand missed
- Three things not to do when adding a Shopify store to an Amazon brand
- 77% of launches hit profitability in 90 days, and the four readiness questions
- Self-taught tech: page speed and mobile conversion numbers
- AI as amplifier, not replacement
- Amazon Accelerate 2024 recap: the platform themes being tracked

## Partnerships

None of the seven LinkedIn posts describes a sponsorship program, sponsored-content format or official route for brands to ask about paid partnerships. Instead, Mohammed Jamil presents a service-and-advice practice: auditing Amazon accounts and seller websites, fixing fee and margin leaks, restructuring inventory and assessing whether a brand is ready to scale. They cite work across 150+ e-commerce brands, 250+ product launches and more than $60M in client revenue. The posts’ only call to action asks readers to comment “YES” to learn how to lower Amazon fees without cutting corners. They list no rates, audience packages, deliverable specifications, content-approval terms, disclosure practices or inquiry forms. For a supplement brand planning around fee increases and FBA profitability, the practical route is to discuss an advisory or audit engagement, not a standard creator placement. Ask Jamil directly about terms, availability and pricing; the posts include no official partnership page or media kit.

## Alternatives

- Bernard Nader: Choose Bernard Nader when the brand is about to cut bids because a SKU looks unprofitable and nobody has separated ad spend from Amazon fees. His September 2026 post examines a parent variation with five child SKUs: one child took $22,650 in Amazon fees on $29,519 in sales and lost $4,078, while a sibling on the same parent made $3,087. Nader breaks the parent's $42,164.76 in fees into fulfillment, referral, storage, and $5,287.68 in inbound defect fees, then points out that lowering bids does nothing about inbound defects. A second post describes a harder conversation: over three months, CPC, CTR, ACoS, and TACoS all improved while sales did not move. Nader told the client PPC was not the bottleneck and lost the account. For a supplement brand that still blames advertising, that is the right first move—and the same decision the fee work answers from the other end.
- Muiz Tariq: Choose Muiz Tariq when the decision is about advertising structure or Q4 timing, not fee line items. The October 2026 post lists five campaign structures he says top spenders run in 2026: single-keyword exact match as a ranking engine, ASIN targeting on listings that already rank for the term, targeting the brand's own ASIN so ads reach shoppers who just left the page, brand defense on branded terms, and Sponsored Brands video pointed at the same keywords. He cites a campaign reported at 5.1% ACoS and credits Chris Rawlings for naming the own-ASIN tactic. The Q4 post gives the 2026 dates that cannot be recovered once missed: Prime Big Deal Days on 6-7 October, peak fulfillment fees starting 15 October, Black Friday deal submissions closing 20 October, and FBA stock arriving by 28 October. It also runs the discount math on a $40 product: price down 20%, profit per unit down 39%, so the brand needs 1.65 times the units just to stand still. A supplement brand short on Q4 stock or ad structure gets more from this than from a fee audit.
- Abhiraj Aggarwal: Choose Abhiraj Aggarwal when the brand suspects Amazon itself is suppressing or reworking its listings, not just charging more. The October 2025 post describes three shifts across client accounts: ASINs that miss Amazon's contribution-margin targets pulled out of retail and pushed into Direct Fulfillment; search suppression for items Amazon marks unprofitable, with products dropping from position #3 to #30; and Gross Margin Guarantee pressure that can require a brand to write a check back. That is the right lens when a listing loses visibility overnight or lead times and conversion change without any pricing decision. The September 2026 post on Accelerate 2026 adds where the data layer is heading: Seller Assistant with persistent memory of pricing patterns and inventory cycles, a canvas for modelling something like an 8% price drop, and processes that need approval with an audit trail. Aggarwal says recommendations need checking and the tools are in beta, distinguishing a faster read on the account from knowing what to do with it. A brand deciding whether the new tooling changes anything gets a straight answer here.

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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/