Mohammed Jamil

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.

Jamil describes opening a client's Seller Central account and finding FBA fees on the top SKU up $0.31 per unit as of January 15—a $9,300 monthly hit on that product alone.

• The brand was unaware.
• The post separates that from the $0.08 average increase and notes that large standard products, where premium supplements tend to sit, took the heaviest hit.
• It also names Low Inventory Level fees, now calculated per FNSKU instead of per parent ASIN; the removal of FBA prep and labelling services; and a DD+7 payout delay that tightens cash flow.
• Jamil describes a profit-leak audit that restructured the inventory model, tightened case pack strategy and renegotiated 3PL inbound costs, allowing the brand to absorb the increase without touching ad spend or prices.

The audit-first reasoning also runs through Jamil's earlier posts on channel order and scaling, applying the same discipline to a Shopify launch and a growth push. The 2026 fee post applies it to a single cost change.

Read original

They say those gaps should be fixed before more money goes into growth and that they have turned down brands that failed that test.

The post reports that 77% of the brands Jamil has launched reached profitability in 90 days or less, while the rest stalled on founder readiness rather than weak products or marketing.

• It poses four audit questions: Can the supplier fill a 3x order increase within 30 days without quality drops?
• Is contribution margin per SKU known after all fees and returns?
• Does one person own the P&L and have authority to make financial decisions in real time?
• Can cash flow carry 60 days of increased ad spend before the return arrives?
• It also says six brands were turned down in 90 days because the infrastructure was not there yet.
• Ask how the 77% figure was measured; it covers Jamil's own client roster.

Read original

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.

The three things Jamil says they would not do again: build the Shopify site before fixing Amazon, copy the Amazon listing structure onto the website, and drive cold traffic to the homepage. Their preferred sequence is to reach seven-figure annual revenue on Amazon first, build the site for brand equity and storytelling rather than transactions, and launch with product-specific landing pages so every ad, email and link lands on one product and one outcome.

Read original

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.

Jamil's worked example is Amazon PPC.

• Instead of asking how to run ads, they say they tell the tool which match types to isolate and why, where wasted spend hides in supplement accounts, what healthy ACoS looks like at launch versus at scale, and which search terms to harvest or kill.
• The post compares the same tool in two hands to a premium knife given to a chef or a first-time cook.
• It cites 250+ product launches and $60M+ in client revenue across Amazon, TikTok Shop and DTC as the experience behind the prompts; those figures come from Jamil's own posts.

Read original

In their account, refusing to outsource a problem forces the learning that later becomes an advantage.

Jamil describes starting out unable to write a line of code and calling developers late at night when a product page broke during a launch.

• They went on to read error logs themselves, test every app integration before recommending it, and build documentation so brands could maintain what was built.
• They claim that process now cuts page load time by an average of 2.3 seconds and raises mobile conversion by 18 to 24 percent across tech stack work for more than 150 e-commerce brands.
• Ask for the methodology behind these performance figures; none is published.

Read original

Here, the post reports conference announcements rather than analysing them, so the argument is thinner than elsewhere; it still shows where their attention sits.

Jamil's recap of the last day of Amazon Accelerate 2024 lists seven areas sellers were told to watch: AI-powered tools for listings and content, expanded advertising controls and targeting, inventory management upgrades, sustainability incentives aimed at eco-conscious shoppers, brand protection measures, global selling support, and customer experience tools for reviews and interactions.

• They urge sellers to adapt and use the updates to grow.
• Each item gets roughly one line, and the post tags other people, making it conference commentary rather than original analysis.

Read original

The post walks through a real account review.

• Per-unit FBA fees on a top SKU jumped $0.31 on January 15, which the post prices at $9,300 per month for that one product; the brand had not noticed.
• It separates that from the $0.08 average increase and explains that large standard products absorbed the biggest hit, leaving premium supplements disproportionately exposed.
• It also flags Low Inventory Level fees, now calculated per FNSKU rather than per parent ASIN; the removal of FBA prep and labeling services; and a DD+7 payout delay that tightens cash flow.
• The post then describes the fix: a profit-leak audit found over-stored slow movers and product dimensions that had not been updated in 18 months.
• The team restructured inventory, tightened case pack strategy, and renegotiated inbound 3PL costs, allowing the brand to absorb the increase without touching ad spend or raising prices.
• The post closes by asking readers to comment for the fee-reduction method.

For brands planning a campaign

This is the clearest example of the profit-leak audit offer. A campaign brief can mirror the promised deliverable—fee check, inventory and case-pack review, inbound cost renegotiation—and use the post to show that the audit finds money, not just reports on it.

Drawing on audits of more than 150 Amazon brand websites, the author names three mistakes: building the Shopify site before fixing Amazon profitability, copying the Amazon listing structure onto the website, and sending cold paid traffic to a generic homepage.

• The reasoning is specific.
• Amazon is a search engine where bullet points and keyword density convert; on a brand's own site, the same structure undermines trust.
• The post argues that a homepage sends paid clicks through an extra navigation step, where conversion dies.
• The recommended sequence is to reach seven-figure annual revenue on Amazon first, build the site for brand equity rather than transactions, and launch with product-specific landing pages so each ad or email lands on one product and one outcome.

For brands planning a campaign

Useful as qualification criteria in a campaign brief.

• If a brand wants a DTC launch before its Amazon economics are healthy, this post gives a documented reason to phase the work.
• Its product-specific landing page advice also offers a concrete deliverable to propose.

The post reports that 77% of the brands the author has launched reached profitability in 90 days or less, and argues that the remaining 23% stalled because of founder readiness, not weak products or marketing.

• The gaps are specific: a supply chain unable to handle a 3x order spike, a team built for $50K months trying to support $200K months, and financial tracking too loose to show true unit economics under pressure.
• It also states that six brands were turned down in the previous 90 days because the infrastructure was not there—an unusual detail to publish.
• The post offers four audit questions: can the supplier fill a 3x order increase within 30 days without quality drops; is the exact contribution margin per SKU known after all fees and returns; is there one person who owns the P&L and can make real-time financial decisions; and can cash flow support 60 days of increased ad spend before returns arrive?

For brands planning a campaign

This is a ready-made pre-engagement diagnostic.

• A campaign brief can use the four questions as an intake checklist.
• The turn-downs also support credibility when a brand is told to fix fundamentals before buying more media or advisory time.

The post describes starting out unable to code a single line and calling developers late at night when a product page broke during a launch.

• The author then learned to read error logs, test app integrations before recommending them, and build documentation so brands could maintain what was built.
• The post claims tech stack work across more than 150 eCommerce brands, $60M+ in combined annual revenue, an average page load reduction of 2.3 seconds, and an 18 to 24 percent increase in mobile conversion.
• These are the author's own performance figures, so ask for supporting evidence before relying on them.

For brands planning a campaign

Relevant when a brief includes site performance, app stack cleanup, or DTC conversion work. The load-time and mobile-conversion claims offer a concrete scope of work to discuss; attribute them rather than restating them as fact.

The argument is that AI outputs turn generic without domain expertise behind the prompt.

• The example is an Amazon PPC build where the author specifies which match types to isolate and why, where wasted spend hides in supplement accounts, what healthy ACoS looks like at launch versus at scale, and which search terms to harvest or kill—instead of asking how to run ads.
• The post claims 250+ product launches and $60M+ in verified client revenue across Amazon, TikTok Shop, and DTC.
• It also lists what AI cannot do in this context: know what good looks like in an industry, spot the mistake that cost $20K last year, make the call when data is unclear, and build trust with the person across the table.

For brands planning a campaign

Useful positioning for a campaign involving AI-assisted content, listing work, or ad structure. It offers a clear division of labor: the operator supplies the framework and judgment; the tooling supplies speed.

This short numbered summary of the last day of a seller conference lists AI-powered listing and content tools, expanded advertising controls, inventory management upgrades, sustainability incentives, brand protection measures, global selling support, and customer experience tools for reviews and interactions. It also tags other people, making parts of the post read as conference commentary rather than the author's own conclusions.

For brands planning a campaign

The least useful post in the set for a campaign decision, but a helpful timestamp of what was being discussed on the Amazon side in 2024. Treat it as context, not a demonstration of the advisory work.

Jamil also flags Low Inventory Level fees, now calculated at the FNSKU level rather than the parent ASIN; the removal of FBA prep and labelling services; and a DD+7 payout delay.

• They frame the changes as a margin and cash-flow squeeze arriving all at once.
• Most brands, they say, respond by cutting PPC budgets or raising retail prices, which kills momentum.

A worked example, not general advice: Jamil opened a client’s Seller Central account and found a $0.31-per-unit increase that cost $9,300 a month on the top SKU.

• They then ran a profit-leak audit, restructured the inventory model, tightened case-pack strategy and renegotiated 3PL inbound costs.
• The stated outcome: absorbing the increase without touching ad spend or prices.

For brands planning a campaign

This is the closest match to a supplement brand’s stated need.

• Premium supplements often sit above the $50 threshold where the largest fee increases land, and variants make FNSKU-level low-inventory penalties a live risk.
• Ask about the concrete audit process in a profit-leak audit or advisory session.

Examples: Source 1

The cited failure modes: a supply chain unable to absorb a 3x order spike; a team built for $50K months trying to support $200K months; and financial tracking too loose to show true unit economics under pressure. Four questions form the pre-scaling audit: can the supplier fulfil a 3x increase in 30 days without quality loss; is contribution margin per SKU known after fees and returns; is there one person who owns the P&L and can decide in real time; and can cash flow carry 60 days of higher ad spend before returns arrive.

A two-hour self-assessment acts as a gate: if any answer is no, fix the gap before pouring gas on growth. Jamil says they turned down six brands in 90 days on infrastructure grounds.

The 77% figure comes from Jamil’s own client roster. The post does not explain how it was measured or over what sample; ask for that context before treating it as a benchmark.

For brands planning a campaign

A useful agenda for a readiness review with a supplement brand planning to scale. The four questions translate directly into a pre-campaign checklist, and Jamil’s willingness to decline work on readiness grounds is worth noting when assessing fit.

Examples: Source 1

Their preferred sequence is to reach seven-figure annual revenue on Amazon first, then build the site for brand equity and storytelling rather than transactions, and launch with product-specific landing pages so every ad, email and link leads to one product and one outcome.

An audit-derived rule list with its reasoning: Amazon is described as a search engine and Shopify as a brand experience, so what converts on one erodes trust on the other. Shopify, Jamil argues, amplifies existing demand rather than creating it.

For brands planning a campaign

Relevant when a supplement brand is weighing a DTC expansion.

• A channel-sequencing review is a sensible entry engagement.
• The practical test: does Amazon profit already cover the cost and complexity of adding a channel?

Examples: Source 1

The worked example is Amazon PPC.

• They say they specify which match types to isolate and why, where wasted spend hides in supplement accounts, what healthy ACoS looks like at launch versus at scale, and which search terms to harvest or kill.
• The post distinguishes what AI does well—removing the blank page, speeding up research and drafts, handling repetitive execution and scaling existing knowledge—from what it cannot do: know what good looks like in a specific industry, spot the mistake that cost money last year, make calls on unclear data or build trust with a person across the table.

For brands planning a campaign

This is the framework Jamil applies to AI-assisted work.

• A brand commissioning AI-supported research or PPC structure should expect a strong emphasis on operator judgment and review of every output.
• The supplement-account examples and launch-versus-scale ACoS details speak directly to a supplement campaign.

Examples: Source 1

They describe reading error logs, testing every app integration before recommending it and building documentation so brands can maintain what was built. The stated results: average page-load reductions of about 2.3 seconds and mobile conversion improvements of 18 to 24 percent.

A first-person account of learning technical work out of necessity, with performance figures presented as results of Jamil’s own process, not third-party findings.

For brands planning a campaign

Relevant when a brand needs site speed, integration or conversion work alongside Amazon advertising. If the bottleneck is storefront performance rather than marketplace margin, probe this part of the work.

Examples: Source 1

Jamil’s message is that sellers should adapt and use the updates to grow.

A summary of announcements, not original analysis; the post gives one line of commentary on each item. It shows the topics Jamil tracks, not detailed expertise in any one of them.

For brands planning a campaign

Useful for understanding which platform changes Jamil tracks, but not evidence of deep analysis in advertising, sustainability or brand protection. Treat it as background rather than a work sample.

Examples: Source 1

The substance sits in a video that is not included here, so the advice itself cannot be assessed from this source. Video titles are not transcripts, and the claim here is only that Jamil publishes seasonal guidance aimed at wellness sellers.

For brands planning a campaign

Confirms that Prime Day timing and the health and wellness category are part of the publishing focus.

• For a supplement brand, treat this as a pointer to a content format, not a demonstrated method.
• Review the underlying guidance before relying on it.

Examples: Source 1

One post opens on a SKU with $29,519 in sales that still lost $4,078 once $22,650 in Amazon fees were counted, and concludes that lowering bids cannot fix a product losing money before any ad spend.

• The other says the hard thing out loud: after three months of improving CPC, CTR and ACoS on an account with flat sales, the honest answer was that PPC was not the bottleneck.
• Both writers treat ad spend as a downstream variable and unit economics as the thing to diagnose first.

Nader stays close to campaign- and SKU-level PPC decisions, and is willing to conclude that the ad work itself should stop.

• Jamil zooms out to fulfilment and storage fees, inventory models, channel sequencing and whether the founder is ready to scale at all.
• Readers wanting the ad-account version should follow Nader; those wanting the operations behind it should follow Jamil.

Read original · Original 2

One post lays out five campaign structures top Amazon spenders run in 2026, including single-keyword exact match and a retargeting trick that places an ad on a shopper who just left the seller's own listing.

• The other works through the Q4 fee stack with arithmetic: a 20% Black Friday discount plus the 2026 deal fee, peak fee and fuel surcharge drops profit per unit 39%, so the brand needs 1.65 times the units to stand still.
• Jamil uses the same approach in the fee post, pricing a policy change through to the per-unit number.

Tariq's output is campaign templates and a Q4 calendar plus playbook, aimed at sellers who accept the strategy and want the build.

• Jamil's work is diagnostic and gatekeeping, helping sellers decide whether and when to scale; they are explicit about turning brands away.
• Read Tariq for the structure to run; read Jamil for the audit that says whether it is worth running yet.

Read original · Original 2

One post covers Amazon's 2026 Seller Assistant announcements and lands on the same conclusion Jamil reaches about AI: the tool got better at presenting data but not at deciding what it means, and operators who already know which metrics matter get the leverage. The other describes margin enforcement in practice: ASINs pushed into Direct Fulfillment, search suppression for items below profitability thresholds, and vendor-style margin targets that mean writing a cheque back to Amazon.

Aggarwal writes about Amazon's own margin strategy and the vendor or brand response to it, as well as where agentic tooling is heading.

• Jamil writes about the seller's internal cost base and launch sequence, with hands-on account examples.
• Aggarwal suits readers tracking platform direction; Jamil suits those auditing their own numbers now.

Read original · Original 2

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.

The tradeoff is scope.

• Both posts are diagnostic: they show how to trace where the money went and when to say PPC is not the fix.
• They do not show a completed recovery like the fee post, where inventory was restructured, case pack strategy tightened, and 3PL inbound costs renegotiated, or cover the four scaling-readiness questions.
• If the brand knows the leak sits in fees and inventory rather than ads, the fee work starts closer to the fix; Nader is the stronger choice while ad spend is still the suspect.

Examples: Source 1 · Source 2

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.

The tradeoff is that both posts are tactical and tied to a window.

• The Q4 calendar and discount math apply to dates that pass, and the campaign list is a starting structure that still has to be tested on the brand's own account.
• Both posts offer a 15-page playbook by direct message after a comment; before treating it as a service, ask what the engagement includes, when work starts, and whether anything beyond the download is offered.
• The posts do not cover scaling readiness or the inventory, case pack, and 3PL cost work in the reviewed fee evidence.
• Take Muiz Tariq when the calendar or ad account is the constraint; take Mohammed Jamil when the constraint is margin.

Examples: Source 1 · Source 2

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.

The tradeoff is that the platform-strategy post comes from an agency account describing shifts it sees in its own clients; neither post contains a fee line-item audit or scaling assessment.

• The suppression and Direct Fulfillment observations are dated October 2025, so recheck the specific behaviour and thresholds before acting.
• The other post is written from an agency position and does not quantify outcomes.
• If the question is which fees hit a $50-plus supplement and what to do about the margin, the reviewed fee work is the tighter match.
• Aggarwal answers a different question: whether Amazon is quietly moving the brand's listings and whether new seller tooling changes the operator's job.

Examples: Source 1 · Source 2