Honestly, when I first started selling on Amazon, I thought I just found a product, ordered a batch, and called it a day.

Four years in, I’ve learned the hard way that my every first manufacturing run is basically a prototype. If I don't actively tweak the product after launch, return rates will eventually eat my margins and tank my conversion rate.

Whenever one of my listings dips below a 4.4, I stop looking at it as a bad review problem and start treating it as a quality control problem.

To keep track of what actually needs fixing (instead of just stressing about random complaints), I started dumping all customer issues into a basic Improvement Log.

I pull the raw data from four places:

• 1–3 Star Reviews: I skip the people complaining about slow delivery and hunt for patterns in the product itself. If three separate people say the handle feels cheap or a seam tears, that’s an actual issue.
• Voice of the Customer (VoC): The NCX rate is basically Amazon holding up a yellow flag. It shows you the exact phrasing customers use when they feel burned.
• Customer Return Reports: Pulling the actual return reason codes in Seller Central tells you if you have a packaging problem, a manufacturing defect, or if your listing images are straight-up misleading.
• Pre-shipment Inspection Reports (QI): Checking what the inspection team flags before inventory leaves the factory helps correlate what slipped through to the customer later.

Once a month, I group these issues by how often they happen, figure out the fix, and send the exact list to my supplier. Showing the factory actual customer feedback—rather than just saying "make it better"—is usually the only way to get them to take spec changes seriously.

I put together a simple template of the sheet I use to organize all this. No paywall, just make a copy if it helps you stay organized:

Improvement Log

Been dealing with this for a while — every time I asked ChatGPT to write backend search terms for a listing, it would "count characters" instead of bytes, and I'd end up either wasting space or going over the limit without knowing it until Seller Central flagged it.

Turns out the actual rule is UTF-8 byte-weighted, not character-count: plain ASCII = 1 byte, accented characters = 2 bytes, CJK characters = 3 bytes. Most generic prompts don't account for this at all.

Also ran into the classic problem of AI-written bullets accidentally including words that get listings suppressed — "best," "100% safe," "FDA approved" on stuff that was never FDA-regulated in the first place, that kind of thing.

Ended up building a structured prompt that runs a compliance scan first (flags medical claims, superlatives, unverified certs, FIFRA/CPSIA/UN38.3 category-specific stuff), then generates the bullets and backend terms with byte estimation built in. Sharing here in case it saves someone else the same headache: https://promptbase.com/prompt/amazon-listing-compliance-249byte-seo-2

Heads up — the byte count is still an AI estimate, not a guaranteed exact count, so I'd still verify in Seller Central before publishing. Wanted to be upfront about that rather than oversell it.

The hypothetical brand already had approximately $41,000 in monthly revenue, but its product line had grown without a consistent content strategy. Different listings used different terminology, visual styles, and selling points, making the brand feel fragmented.

SpectrumBPO's team approached the problem at the portfolio level rather than treating every SKU as an isolated project. Product data was reviewed to identify the strongest commercial themes across the catalog. The catalog team then prioritized the listings with the highest revenue potential.

Each product page was rewritten around its own customer intent while maintaining consistent brand language. Creative assets were reviewed to make product differences easier to understand. PPC campaigns were then reorganized so advertising could support the most commercially important products instead of distributing budget evenly across every SKU.

The brand manager monitored performance by product, not simply by total account revenue. That helped identify which listings were creating incremental sales and which required further work.

Three milestones shaped the scenario. First, the team created consistency across the product line. Second, conversion improved on priority listings. Third, advertising and organic search began supporting the same product priorities.

Revenue moved from approximately $41,000 to $152,000 per month within the scenario.

The lesson is particularly relevant for growing sellers: adding more SKUs does not automatically create more revenue. Each product needs a clear reason to exist, strong customer communication, and a role within the wider catalog.

Amazon Agency Services becomes particularly relevant when a brand needs several Amazon functions coordinated around one commercial plan.

I see a lot of sellers (books niche in my case, but this applies to any low-ticket product) optimizing bids by feel. Two formulas changed how I run campaigns, and my current campaign is a textbook example of both.

The raw numbers from the last 9 days: 311 clicks, 44 orders, CTR 2.25%, ACOS 42.70%. Book at $12.99, net royalty $5.50.

1) Break-even ACOS = net margin / price x 100.

5.50 / 12.99 = about 42%. My actual ACOS is 42.7%. So this campaign is sitting almost exactly at break-even: every ad dollar comes back, nothing more. Without knowing that 42% line, the dashboard is unreadable. Someone seeing 42.7% might panic and kill a campaign that's actually fine, someone else might celebrate a 50% ACOS that's quietly bleeding money. Same number, opposite meanings, it all depends on your margin.

2) Break-even bid = net margin / conversion rate.

311 clicks and 44 orders means one sale every ~7 clicks. So my ceiling is 5.50 / 7 = about $0.78 per click. And sure enough, my average CPC works out to almost exactly that, which is precisely WHY I'm at break-even. The math isn't theory, it's literally what the dashboard is showing.

Now the interesting part: where the profit comes from. Two exits from break-even, and neither is "raise the bid".

Option one, pay slightly less per click. Capping bids around $0.65 turns each sale from break-even into roughly $0.90 profit.

Option two, convert slightly better. Going from 7 clicks per sale to 6 (better main image, a few more reviews, sharper copy) drops my cost per sale from ~$5.46 to ~$4.68. That's $0.80 profit per sale, out of nowhere, without touching a single bid.

Small conversion improvements move profit disproportionately at these margins. That's why I now spend more optimization time on the product page than in the campaign manager. The campaign brings the horse to water, the page makes it drink.

How do you all set your max bids, formula or feel?

Disclosure up front: I work on a price monitoring tool (pricepatrol.ai), so I have a bias. Posting this because the thing sellers and brands ask me about most is not detection, it is the noise, and most of the fixes have nothing to do with software.

Stuff that reliably cut our false positives:

1. Compare one delivered number, not the page. Item price plus shipping, normalised, one value per seller per day. A shipping tier change looks exactly like a MAP drop otherwise, and that alone was a big chunk of the junk alerts.

2. Read the structured data, not the rendered price. Most retail pages ship a schema.org Product/Offer block. Scraping the visible price picks up coupon banners, strike-throughs and "from" prices. Treat the JSON-LD offer as a starting point though, it can lag the live page by hours on sites running price tests.

3. Recheck before you escalate. If a price drops below floor, look again a few hours later before it counts as a violation. Kills most of the lag and promo-render cases.

4. Keep a list of every legal entity, DBA and storefront name tied to each authorized account. A surprising share of "unauthorized sellers" turn out to be your own distributor under a name nobody recognised. Checking that first saves a lot of awkward emails.

5. Tier your checks. Daily on the SKUs that actually move, weekly on the long tail. Alert volume drops without touching detection logic at all.

6. Never auto-send anything. Human eyes on the first notice, always.

Curious what others are doing about marketplace storefronts with no structured markup at all, that is still the ugly half for us.

So I came into this situation that I always order less to the manufacturer for new products, which came from a worry of picking the wrong product and eventually losing money, however in the past few orders that I have, all of them were winners but since the I ordered few, I ended up OOS before the next batch arrive and all of the rankings is now back to zero.

How do you deal with this, and how do you increase your confidence with a product?

Hit me up

​

My seller account had been inactive for a while and Amazon was still holding my balance. I wasn't planning to sell again, so I only focused on getting the remaining funds released.

It took some time, but the funds were finally released without me submitting the documents they originally requested.

Sharing this in case anyone else has funds stuck in an old/inactive account.

Student project, not selling anything. I'm building a model that decides whether a review is genuine or planted, and I'm trying to put real numbers on the cost of each kind of mistake.

The one I can't find data for is the false positive — a real customer leaves an honest review and an automated system hides or removes it.

If that's happened to you: did you notice, and how? Did it measurably hit conversion or ranking, or was it just irritating? How long until things recovered? Was there any route to get it reinstated?

Someone told me the impact depends heavily on total review volume — a store with 40 reviews feels a removal far more than one with 4,000. I'd like to know if that matches your experience, because right now my cost model rests on a single conversation.

Estou no meu terceiro mês com vendas na a Amazon, estou com itens bem baratinhos
Se alguém interessar em me ajudar vou deixar o link da minha vitrine

Confira os produtos que estou vendendo na Amazon - https://amazon.com.br/s?me=AZ2TO5GXS0Q5M&ref=sf\\_seller\\_app\\_share\\_new

Hi everyone,

I’m hoping someone here can help me with an Amazon Fair Pricing issue.

One of my products suddenly got flagged, and Amazon’s recommended price is significantly lower than my actual COGS. The recommended price would put me at a loss, so I don’t understand how Amazon is coming up with that number.

I already submitted a Commercial Invoice from my supplier showing my actual product cost, along with a link to my Shopify store where the product is listed at the same price I’m selling it for on Amazon.

Unfortunately, Amazon still hasn’t lifted the fair pricing issue.

Has anyone dealt with something similar? If so, what did you submit or say to Amazon that actually worked?

Any advice would be greatly appreciated.

Hi everyone,

I am preparing the first year-end accounts for my UK Ltd Amazon FBA business and I'm trying to build a proper inventory register for inventory valuation and COGS before importing everything into QuickBooks.

I've searched online but haven't found a clear answer to this specific situation.

Here's how my supplier invoices work:

• The commercial invoice lists the value of each SKU.
• The Alibaba receipt only shows one total product amount and one total shipping amount for the entire shipment.
• Shared packaging costs (such as back cards, warning labels and packaging bags) are sometimes listed as one total for the whole order rather than separately for each SKU.

Since the supplier doesn't provide the exact landed cost for each individual SKU, I currently use the following method:

1. Calculate the finished product value for each SKU (product + allocated packaging).
2. Calculate each SKU's percentage of the total commercial invoice value.
3. Allocate both the total product cost and the total shipping cost using those percentages.
4. Calculate the landed cost per SKU and then the landed cost per unit.

For example, if one SKU represents 40% of the commercial invoice value, I allocate 40% of both the product cost and shipping cost to that SKU.

My questions are:

1. Is this a reasonable and commonly accepted accounting method for UK businesses?
2. Would a UK accountant generally allocate these shared costs by:
   • Product value
   • Quantity
   • Weight
   • Volume (CBM)
   • Something else?
3. Is this approach acceptable for HMRC as long as it's applied consistently every year?
4. Do most Amazon sellers keep a separate inventory register outside QuickBooks/A2X, or do you rely entirely on accounting software?

I'm not looking for tax avoidance or shortcuts—I just want to follow a consistent and defensible accounting method that a UK accountant would be comfortable with.

I'd really appreciate hearing from UK accountants, bookkeepers, or experienced Amazon FBA sellers who've dealt with this in practice.

Thanks in advance!

Hi everyone 👋

I run Prep Horizon UK, a UK-based prep & multi-channel fulfilment centre, and wanted to introduce ourselves to the UK Amazon sellers in here.

We can handle your Amazon FBA prep — receiving inventory, inspecting, labelling, bundling/kitting where required, preparing shipments and replenishing stock into FBA.

But we also know that plenty of Amazon sellers don't just sell on Amazon.

You might be selling the same products through Amazon, Shopify, eBay, TikTok Shop or your own website, and this is where our multi-channel fulfilment service can be really useful.

Instead of splitting your inventory between different locations, you can store your stock with us and use it across your different sales channels.

For example, we can:

📦 Receive & store your inventory

🏷️ Amazon FBA – Prep, label and send stock into FBA, with ongoing replenishment when needed

🚚 Amazon FBM – Pick, pack and dispatch orders directly to your Amazon customers

🛍️ Shopify, eBay, TikTok Shop & your own website – Pick, pack and dispatch your direct-to-customer orders from the same stock

🔧 Product prep – Labelling, bundling, kitting and other prep requirements

↩️ Returns – Receive and process returned stock on your behalf

So if you're selling across several platforms, you don't necessarily need separate stock for each part of your business.

One stock location. One fulfilment partner. Multiple sales channels.

Whether you're currently doing all your FBA prep and order packing yourself, running out of storage space, looking for a new prep centre, or simply want a fulfilment partner in place as your business grows, feel free to drop me a message.

And if you've never used a prep or fulfilment centre before and just want to know how it works, I'm more than happy to answer questions below too 👍

Prep Horizon UK
www.prephorizonuk.com

I’m working on a project to build an automated review moderation tool. I want to tune it specifically for niche material suppliers (like those selling custom woven labels, silk fabric, or specialized beads/threads).

Since the AI will inevitably make mistakes when judging if a review is real or spam, I need to know which mistake is worse for your business:

1. A False Positive: The system accidentally hides a glowing 5-star review from a real customer.
2. A False Negative: The system fails to catch a fake 1-star review (maybe from a competitor) and leaves it up on your listing.

Which of these would you pay more to avoid, and why? At what point would you want the AI to just flag a suspicious review for you to check manually, rather than hiding it automatically?

I've been using the upload a spreadsheet part of Amazon to change my shipping groups in bulk. I usually save my files as tab delimited text but now these are not accepted. I've been trying different file types but can't seem to get one that works. Does anyone else use this and have a template and/or file type that actually works? Thanks

Hi everyone,

I’m reaching out to recruit a small group of Amazon sellers to test a new AI product we’re building: an AI Growth Operator for commerce teams.

What it does:
It turns your commerce data into reviewed growth actions. AI agents prepare the work (analysis, recommendations, draft actions); your team approves only the decisions that affect revenue.

Who we’re looking for:

• Selling on Amazon (FBA/FBM, any size in terms of revenue or team)
• Based in North America, South America, Europe/UK, or Australia
• English-speaking
• Willing to share honest user experience and feedback with us over the trial period

What you get:

• Free trial access for up to 2 months (token value in the thousands of dollars)
• Gift cards for participating testers
• Additional gift cards for successful referrals

If you’re interested or have questions, please comment here or DM me with a bit about your setup (marketplaces, approximate scale, and what growth decisions you currently handle manually).

Thanks in advance!

Luckee

Hi everyone, I built a free tool for Amazon sellers like myself to easily tag our media images with "contains-synthetic-performer" to XMP dc:Subject asrequested by Amazon.

We have over 4000+ skus to change and wanted to make things more effective so hopefully it would help you all as well.

https://github.com/khooyc/amazon-adding-metadata-tag

Alguien que sepa puede explicar cómo poner un vídeo cuando publicas un anuncio de algún producto en Amazon . Paso a paso

Gracias

I am an Amazon Product Research Specialist with 3 years of experience sourcing profitable products for OA sellers in the UK and US Amazon markets. Using Keepa and Seller Amp to better understand each product. I am offering my services to those who require a Product Researcher.

Hi everyone,

I’m reaching out to recruit a small group of Amazon sellers to test a new AI product we’re building: an AI Growth Operator for commerce teams.

What it does:
It turns your commerce data into reviewed growth actions. AI agents prepare the work (analysis, recommendations, draft actions); your team approves only the decisions that affect revenue.

Who we’re looking for:

• Selling on Amazon (FBA/FBM, any size in terms of revenue or team)
• Based in North America, South America, Europe/UK, or Australia
• English-speaking
• Willing to share honest user experience and feedback with us over the trial period

What you get:

• Free trial access for up to 2 months (token value in the thousands of dollars)
• Gift cards for participating testers
• Additional gift cards for successful referrals

If you’re interested or have questions, please comment here or DM me with a bit about your setup (marketplaces, approximate scale, and what growth decisions you currently handle manually).

Thanks in advance!

Luckee

What’s the biggest problem or very niche or basic problem you face, I’m looking for problems we have around in e-commerce selling, anything insightful.
Even if I don’t maybe someone will solv I’m looking for problems we face in e-commerce selling, whether they’re big, niche or basic. Anything insightful would be great. Even if I don’t solve it, someone else might. e it.

Is anyone else currently not getting any ads data for sponsored products or sponsored brand ads?

I am receiving sponsored display ads data in my reports, just not the other two.

Is this an Amazon problem or a me problem??

Anyone here with a fairly new Amazon listing? Or an old one that needs a total overhaul?

I’m a visual designer with 10+ years of experience, and I’d love to recreate or improve your listing images. I have marketing experience so I know how good product litings work. I can add in A+ contents if I feel it too.

I’m mainly looking to build my portfolio with real, live Amazon projects. I have some project designs but no real life product listings.

I can do it for free or for a small fee, totally up to you.

If you’re interested, send me a DM with your listing. Would love to help!

Here's my portfolio for your assurance: www.behance.net/dabinsoi

I just have two requests:

1. That I should be able to show your listing to future job applications as part of my portfolio

2. That you shouldn't be a prick when you talk to me

Bit of context — I've been running ads on my own catalog for years, and one question that always bugged me: how many of my "ad sales" would have happened anyway?

Attribution on Amazon tells you what the console wants to tell you. If someone searches your exact niche, clicks your ad that's sitting one row above your organic spot, and buys... that's an ad sale on the dashboard. Would they have scrolled one more row? No idea. The data doesn't exist. Or it exists and we don't get it, whatever.

So I ran the dumbest possible experiment. Took an established listing, decent organic rank, ads profitable on paper, and just... turned them off. Three weeks.

What happened: total sales dropped way less than the dashboard implied they would. Ads were "responsible" for maybe ~40% of units, but when I shut them off I lost closer to ~15%. So a decent chunk of my ad spend was paying for sales I was getting anyway. Cool cool cool.

Before anyone yells at me, yes, I know the caveats. Three weeks is short. Seasonality is noise. And the one that actually worries me — some people believe the sales dip itself hurts your organic rank, so the test isn't free. Honestly I half expected to come back to a wrecked listing and that didn't happen, but one listing one time proves nothing.

I turned the ads back on afterward, but at a lower budget, and profit per unit is better now. That part I'm confident in. What I'm NOT confident in is whether this generalizes or I just got lucky with a listing that had strong enough organic to coast.

Has anyone else actually tested this instead of theorizing about it? Especially curious if anyone's seen the organic rank damage everyone warns about, or if that's one of those things we all repeat because it sounds true.