Before We Start: A Note on How We Write Case Studies
Most agency case studies show you the final number and skip everything that produced it.
A percentage. A graph going up. A quote from a happy client.
What they do not show you is the decisions made along the way. The problems encountered in week three. The moment the data told us to do something counterintuitive and we did it anyway.
This case study does the opposite.
You will see exactly what we did, when we did it, why we made each decision, and what the numbers looked like at every stage. Including the stages where they were not impressive yet.
Because that is what actually helps you evaluate whether a partner is right for your brand.
The Brand and the Starting Point
The brand is a UK-based FMCG manufacturer operating in the household cleaning category.
Strong products. Good packaging. A loyal regional wholesale customer base built over several years.
Zero Amazon presence.
Not a failed Amazon account. Not a suspended account. Not a poorly managed account. Genuinely zero. No listings. No account. No reviews. No organic ranking. No sales velocity data of any kind.
The category they were entering is competitive. Established brands with thousands of reviews and dominant page-one placements had been building their Amazon presence for years. Some of them had brand budgets that dwarfed our client’s entire annual revenue.
The brief was straightforward but challenging. Launch on Amazon UK. Build to 500 monthly orders within 90 days. Do it without burning through budget in a way that made the economics unviable for the long term.
What We Knew Going In
A few things were clear before we started.
< cite index=”159-1″>Every Amazon launch in 2025 has to lead with paid traffic to capture the sales velocity needed to start ranking organically. Organic ranking is not enough to drive a launch. Even with strong outside traffic, organic results cannot compete with the ad density Amazon has built into the search experience.</cite>
We were not going to rank organically on day one. Nobody does in a competitive category.
We also knew the timeline was tight. 90 days to 500 monthly orders in a category with established competition meant we could not afford a slow start. The first 30 days needed to generate enough data to optimise properly in days 31 to 60. And days 61 to 90 needed the compounding effect of better data, improving organic ranking, and a growing review base working together.
< cite index=”155-1″>Full-service results compound because the services reinforce each other. Better content lifts organic ranking, which lowers cost-per-click in ads. Cleaner supply chain management prevents stockouts, which protects ranking and reduces wasted ad spend.</cite>
That compounding logic shaped everything we did.
Week 1 to 2: The Foundation Work Nobody Sees
The instinct when launching a new Amazon account is to get live as fast as possible.
We did not do that.
We spent the first two weeks on foundation work that most sellers skip because it feels like it is delaying the real work. It is not. It is the real work.
< cite index=”157-1″>Before a single pound was spent on advertising, the listing was rebuilt from the ground up. Keyword-rich title, five benefit-led bullet points, A plus Content with a comparison module, backend search terms pushed to the 249-byte limit, and new main images briefed and delivered specifically for thumbnail performance in search results.</cite>
Here is exactly what those two weeks covered.
Account Setup and Verification
Seller Central registration completed with correct legal entity, VAT registration, and GS1-compliant barcodes from the start.
We have seen too many brands launch with non-GS1 barcodes and spend weeks dealing with listing suppression issues that were entirely avoidable.
Brand Registry application submitted on day two. The brand had an existing UK trademark registered with the UKIPO. Approval came through in 11 days. We built A plus Content in parallel so it was ready to publish the moment Brand Registry was confirmed.
Keyword Research
We built a keyword map before writing a single word of listing copy.
Primary keyword: the highest-volume category term most relevant to the product with realistic ranking potential given the brand’s starting position.
Secondary keywords: closely related terms with strong search volume where competition was slightly lower.
Long-tail keywords: specific, lower-volume terms with high purchase intent where we could rank faster and collect early conversion data.
We also identified which keywords the dominant category brands were ranking for and which ones they were underinvesting in. Those gaps became early priorities.
Listing Optimisation
Title built to 197 characters, just under Amazon’s 200-character limit, incorporating the primary keyword in the first 80 characters followed by key product attributes.
Five bullet points each addressing a specific customer concern or product benefit rather than a generic feature list. Bullet points written to sell, not to describe.
Backend search terms filled to the 249-byte limit with relevant secondary keywords, common misspellings, and long-tail variants not included in the visible listing copy.
Main image briefed specifically for thumbnail performance. In a crowded search results page, the main image is what earns the click. We tested three versions before launch and selected the one with the strongest projected CTR based on category competitive analysis.
A plus Content built with a lifestyle module, a feature benefit comparison table, and a brand story section. Published the day Brand Registry was confirmed.
Inventory Positioning
We ran detailed demand forecasting before placing the initial FBA inbound shipment.
The goal was to position enough stock to sustain the growth curve we projected without creating excess inventory that would trigger FBA storage fees or push the IPI score below acceptable levels.
Initial inbound: 600 units. Enough for approximately 45 days of projected sales at the mid-range of our launch forecast, with a reorder trigger set at 200 units remaining.
Days 1 to 30: The Launch Phase
The account went live on day 15 of the engagement. Two weeks of foundation work before a single ad was spent.
Here is what the first 30 days of live trading looked like.
Campaign Architecture at Launch
We launched four campaigns simultaneously.
Auto campaign: Set at £40 per day. Tasked with discovering which search terms the market actually used to find products like ours. Not what we assumed they used. What they actually used.
Manual Sponsored Products, Exact Match: Built from our keyword research with exact match keywords across primary and secondary terms. Set at £30 per day with bids calculated from our target ACoS of 28% and an estimated conversion rate of 8%.
Manual Sponsored Products, Phrase Match: Wider keyword net around our proven terms. Set at £20 per day to capture search intent variations around our core keywords.
Sponsored Brands: Brand awareness banner targeting category-level searches. Available immediately thanks to fast Brand Registry approval. Set at £15 per day.
Total daily launch budget: £105.
Days 1 to 7: The Painful Part
< cite index=”158-1″>Days 1 to 30 are the learning phase with high ACoS of 40 to 60%. You are often losing money per sale during this period. This is not a failure. This is the investment phase where you are buying sales velocity, collecting keyword data, and building the review base that will improve conversion rate later.</cite>
Our ACoS in week one was 54%.
Every sale was generating a small loss on advertising. That is uncomfortable. But it was expected and planned for.
What we were actually buying in week one was not just sales. We were buying organic ranking signals. Every sale on a keyword moves you up in Amazon’s organic index for that keyword. The 54% ACoS looked bad on its own. Against the organic ranking it was building, it was a calculated investment.
Week one results:
- Orders: 47
- Revenue: £611
- Ad spend: £330
- ACoS: 54%
- Organic ranking, primary keyword: position 84
Days 8 to 14: First Optimisation
We pulled the Search Term Report at the end of week one.
The auto campaign had generated 312 different search term impressions. Of those, 23 had generated clicks. Of those, 8 had generated conversions.
We immediately added the 8 converting search terms as exact match keywords in the manual campaign with bids informed by their actual conversion data rather than our initial estimates.
We added 31 non-converting search terms as negatives. Terms with more than 3 clicks and zero conversions were cut immediately. No sentiment about it. The data said they were not working and we acted on the data.
Week two results:
- Orders: 68
- Revenue: £884
- Ad spend: £392
- ACoS: 44.3%
- Organic ranking, primary keyword: position 61
23 position improvement in the organic ranking in one week. That is what sales velocity does when it accumulates consistently.
Days 15 to 30: The Review Problem
By week three we had 115 orders and zero reviews.
This is the part of an Amazon launch that tests patience more than anything else. Reviews improve conversion rate significantly. Better conversion rate lowers ACoS. Lower ACoS allows higher bids that win more impressions. The whole system improves with reviews.
But reviews take time.
We activated Amazon’s Request a Review function for every delivered order from day one. It is the only compliant review request mechanism. We used it consistently.
By day 30 we had 7 reviews. An average of 4.4 stars. Not enough to dominate. Enough to establish credibility.
Week three and four results combined:
- Orders: 163
- Revenue: £2,119
- Ad spend: £745
- ACoS: 35.2%
- Organic ranking, primary keyword: position 34
End of month one total: 278 orders. 55.6% of the 500-order target reached in the first 30 days.
Days 31 to 60: The Optimisation Phase
Month two started with something valuable that month one had not given us. Real data.
We knew which keywords converted. We knew which search terms were wasting budget. We knew our actual conversion rate at current review count. We knew our organic ranking trajectory.
Now we could manage the account with precision instead of projections.
Campaign Restructure
We restructured the campaign architecture at the start of month two based on month one data.
Auto campaign budget reduced from £40 to £25 per day. It had done its primary job of keyword discovery. We kept it running to continue surfacing new terms but reduced the budget allocation as manual campaigns became the more efficient conversion engine.
Manual exact match budget increased from £30 to £55 per day. These were proven converting keywords. More budget here meant more impressions on searches we knew converted.
We launched a competitor targeting campaign at £20 per day, placing our Sponsored Product ads on the detail pages of the three category leaders. Conversion rate on competitor targeting is lower than keyword campaigns but the volume of potential customers viewing those pages made it commercially worthwhile at a controlled budget.
New total daily budget: £130.
The Keyword Prioritisation Decision
By day 45 we had enough data to make a decision that felt counterintuitive at the time.
Two of our top-performing keywords from a revenue perspective were also our most expensive. Their ACoS was 38% and 41% respectively. Both above our target of 28%.
The instinct is to reduce bids on anything above target ACoS.
We did not do that for these two keywords.
The reason: both were category-level primary keywords driving organic ranking signals. Every sale on these terms was building our position in organic search. Cutting bids and losing impressions on them would have slowed the organic ranking improvement that was compounding through month two.
Instead we maintained bids on those two terms and tightened bids on lower-priority keywords to offset the overall ACoS impact. Managing the portfolio rather than managing individual keywords in isolation.
< cite index=”155-1″>A PPC-only approach might drive sales growth by scaling ad spend. A full-service approach drives growth while also raising organic rank, improving margins, and building sustainable long-term performance. You need to know which model you are evaluating.</cite>
We were building an organic asset, not just buying sales.
Month Two Results
- Month two orders: 387
- Month two revenue: £5,031
- Month two ad spend: £1,248
- Month two ACoS: 24.8%
- Organic ranking, primary keyword: position 12
- Reviews at end of month two: 23, average 4.6 stars
ACoS below target for the first time. Organic ranking inside the top 15 for the primary keyword. 23 reviews generating a meaningful trust signal for new visitors.
Cumulative orders after 60 days: 665.
The 500-order target had been reached by day 52.
Days 61 to 90: The Compounding Phase
By month three something had changed in the account that the numbers take a moment to fully capture.
Organic sales were starting to happen without advertising attribution.
Customers were finding the product by searching the primary keyword, seeing it on page one organically at position 12, clicking the listing, and buying it without ever seeing an ad.
< cite index=”157-1″>Every month tells the same story: ad spend as a percentage of total revenue declined continuously as organic ranking improved. Every pound spent on PPC was simultaneously building an organic asset, not just generating ad-attributed revenue.</cite>
TACoS, total advertising cost of sale measured against all revenue including organic, had fallen from 54% in week one to 16.3% by the start of month three. The advertising was becoming progressively more efficient as organic contribution grew.
Month Three Priorities
With the 500-order target already exceeded by day 52, month three became about building the sustainable operational structure that would carry performance beyond the 90-day case study window.
We set reorder triggers to ensure inventory never dropped below 150 units. The first reorder had already landed at Amazon’s fulfillment centres by day 58, timed precisely to prevent any stock gap.
We expanded keyword coverage into longer-tail category terms where we now had enough review count and organic authority to compete. These terms were lower volume individually but collectively added meaningful incremental reach.
We launched a Sponsored Brands video campaign using product demonstration footage supplied by the brand. Video ads in the category were underutilised by competitors. We captured that placement at a lower average CPC than equivalent static ads.
Month Three Results
- Month three orders: 514
- Month three revenue: £6,682
- Month three ad spend: £1,087
- Month three ACoS: 16.3%
- TACoS: 16.3% in month one vs 9.7% by end of month three
- Organic ranking, primary keyword: position 7
- Reviews: 41, average 4.7 stars
The 90-Day Summary
| Metric | Month 1 | Month 2 | Month 3 |
| Monthly Orders | 278 | 387 | 514 |
| Monthly Revenue | £2,119 | £5,031 | £6,682 |
| Ad Spend | £745 | £1,248 | £1,087 |
| ACoS | 35.2% | 24.8% | 16.3% |
| TACoS | 35.2% | 19.4% | 9.7% |
| Organic Ranking | Position 34 | Position 12 | Position 7 |
| Reviews | 7 | 23 | 41 |
Total 90-day orders: 1,179
Total 90-day revenue: £13,832
Total ad spend: £3,080
Overall TACoS across 90 days: 22.3%
The 500 monthly orders target was achieved by day 52. By day 90 the brand was generating over 500 orders per month consistently and trending upward.
What Made This Work: The Honest Version
Results like this do not happen because of one clever decision. They happen because of consistent operational discipline across a lot of small decisions made correctly over 90 days.
The listing was built properly before advertising started.
Every click we paid for landed on a listing optimised to convert. Wasted clicks on a weak listing are twice as expensive as wasted clicks on a strong one because you pay for the click and you lose the conversion.
We did not cut campaigns during the painful early phase.
Week one ACoS of 54% would have caused a lot of sellers to panic and reduce budgets. We understood what that spend was building and held the course.
We managed the campaign portfolio strategically, not tactically.
Some keywords ran above target ACoS because they were building organic ranking. We subsidised that cost by tightening bids elsewhere. Managing the whole account as a system rather than individual keywords in isolation.
Inventory was planned ahead of demand, not in response to it.
We never went out of stock. Never lost organic ranking to a stockout. Never lost Buy Box to zero inventory. The reorder arrived before it was needed, not after.
Brand Registry was set up in week one.
A plus Content was live from day 15. Sponsored Brands were running from day 15. Every tool that requires Brand Registry was available from the first day of trading.
What Came Next
The brand is still a Primex Group partner.
By month six organic ranking on the primary keyword had reached position 3. Monthly orders had grown to over 900. TACoS had fallen to 7.2%, meaning over 92% of revenue was generated organically or at minimal advertising cost.
The advertising investment made in months one to three was not a cost. It was the capital that built an organic asset now generating compounding returns without proportional ongoing spend.
What This Means for Your Brand
Every brand situation is different.
Your category, your margin structure, your competition level, your starting review count, and your budget all affect what the realistic trajectory looks like for your specific situation.
What is consistent across every successful Amazon launch we manage is the approach. Foundation before advertising. Organic ranking as the strategic objective, not just ad-attributed sales. Inventory managed proactively. Data reviewed and acted on every week. Patience during the learning phase combined with precision during the optimisation phase.
If you are an FMCG, Beauty, Baby, Health, Pet Care, or Household brand considering Amazon UK or looking to significantly improve existing performance, we are happy to tell you honestly what a realistic trajectory looks like for your situation.
No inflated projections. No guaranteed results. Just an honest conversation about what structured execution can achieve and what it requires from your side.
Ready to Discuss Your Amazon Launch?
Schedule a consultation to talk through your brand, your category, and what a structured 90-day launch looks like for your specific situation.
Call UK: 0121 806 0050
Call USA: +1 078 67352 225
WhatsApp: +44 7883 254070
Email: trade@primexgroup.co.uk
Frequently Asked Questions
Is this result typical for a new Amazon launch?
500 monthly orders in 90 days in a competitive FMCG category requires strong products, proper listing optimisation, adequate advertising budget, and consistent operational execution throughout the 90-day period. Results vary by category, competition level, budget, and product quality. This case study reflects what structured execution with the right foundation produces. It is not a guaranteed outcome for every brand but it is the standard we build toward.
How much did advertising cost in total over 90 days?
Total advertising spend across the 90-day period was £3,080. Against £13,832 in total revenue, the overall TACoS was 22.3%. By month three TACoS had fallen to 9.7% as organic sales grew. The advertising investment front-loaded in months one and two built the organic ranking that made month three and beyond progressively more efficient.
What category was the brand in?
Household cleaning products on Amazon UK. A competitive category with established brands holding hundreds to thousands of reviews and dominant page-one organic positions. We have omitted the specific subcategory and brand name at the client’s request.
How many SKUs were launched?
The brand launched with three SKUs, a hero product and two complementary variants. Advertising budget was weighted heavily toward the hero SKU in months one and two with budget distributed more evenly across all three in month three as the hero product established organic ranking.
What happens after 90 days?
The 90-day window establishes the operational foundation and organic ranking base. After 90 days, growth continues through ongoing campaign optimisation, expanding keyword coverage, review accumulation improving conversion rate, and the compounding organic ranking that reduces reliance on paid advertising over time. The brand in this case study reached position 3 on its primary keyword by month six with TACoS of 7.2%.
Related Reading
- The Complete Guide to Ecommerce Marketplace Management for Brands and Investors
- How Amazon Seller Central Works: A Complete Operational Guide for Brands and Investors
- Amazon PPC for Brands: How to Structure Campaigns That Actually Deliver ROI
- How to Win the Amazon Buy Box: A Practical Guide for Sellers and Brand Managers
- How to Set Up Amazon Brand Registry: Step by Step for UK and US Sellers
