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Case study · Grocery & Gourmet Food

From flat $9–12K weeks to a $990K trailing-twelve-month business

A honey brand on Amazon US had been stuck at the same weekly revenue for months, with advertising absorbing close to 9% of total sales. Over 125 weeks we rebuilt the listings, then the ad structure, and moved the account from renting sales to holding organic rank. It now earns 43% more revenue on 15% less ad spend than the same period a year earlier.

Category: Grocery & Gourmet Food (Honey)Marketplace: Amazon USEngagement: March 2024 – August 2026 (125 weeks)Scope: Listing optimisation · Creative · Promotions · Full PPC restructure
01The numbers

Headline results

$991,473
trailing-twelve-month sales (Aug 2025 – Jul 2026)
+75.4%
average weekly sales, first 13 weeks vs last 13
−4.61 pts
TACOS, like-for-like Nov–Jul year over year
73%
of orders now arrive organically (last 30 days)
Weekly sales: floor, average and peak$0k$6k$13k$19k$26kpeak $12,687avg $11,494floor $9,476First 13 weeksMar – Jun 2024peak $22,593avg $20,155floor $18,212Last 13 weeksMay – Aug 2026bar = weekly range · line = average
Weekly sales range at the start of the engagement and today. The floor moved further than the peak — the worst week now beats the best week of the baseline by 44%.
02Baseline vs current

Weekly performance, before and after

Weekly performance, first 13 weeks vs last 13 weeksAverage weekly salesUS dollars$11,494$20,155First 13 wksLast 13 wks+75.4%Average weekly unitsUnits shipped320487First 13 wksLast 13 wks+52.4%Average order valueUS dollars per order$35.95$41.37First 13 wksLast 13 wks+15.1%TACOSAd spend ÷ total sales8.88%6.87%First 13 wksLast 13 wks−2.01 ptsROASAd sales ÷ ad spend3.893.94First 13 wksLast 13 wks+0.05Weekly floorWorst week of the period$9,476$18,212First 13 wksLast 13 wks+92%
Every weekly measure, first 13 weeks of the engagement against the last 13.
03November – July

Like-for-like year over year

Like-for-like year over year, November to JulyTotal salesNovember – July$543,933$779,976Nov 24–Jul 25Nov 25–Jul 26+43.4%Total ordersNovember – July13,16219,181Nov 24–Jul 25Nov 25–Jul 26+45.7%Ad spendNovember – July$61,239$51,865Nov 24–Jul 25Nov 25–Jul 26−15.3%TACOSAd spend ÷ total sales11.26%6.65%Nov 24–Jul 25Nov 25–Jul 26−4.61 pts
The same nine months, one year apart: 43% more revenue on 15% less ad spend.
In one line: the account now generates 43% more revenue on 15% less ad spend than the same period a year earlier. Trailing twelve months (Aug 2025 – Jul 2026): $991,473 in sales across 24,002 orders.
04Sales mix

Supported by advertising, not dependent on it

Share of sales that came through advertising34.7%from adsBaselinea third of revenue rented from ads27.1%from adsNowlast 30 days: 1,166 organic vs 432 PPC orders
Advertising’s share of revenue fell as organic rank was built and held.
05The floor, not the peak

Consistency, not spikes

Weeks clearing $18,000 in salesFirst 26 weeksweeks that cleared $18,000 in sales1 of 26Most recent 26 weeksweeks that cleared $18,000 in sales26 of 26
One filled dot per week that cleared $18,000. Consistency, not spikes.

The worst week of the current period ($18,212) is 44% higher than the best week of the baseline period ($12,687). That is the signature of organic rank being built and held, rather than sales being rented through advertising.

06The audit

The starting point

When we took over the account it was doing $9,000–$12,000 per week and had been flat at that level. Revenue was stable but not compounding, and advertising was absorbing close to 9% of total sales without moving the brand forward. Our audit identified three structural problems.

Problem 1

Unstructured campaign architecture

Spend sat in discovery-type campaigns with no harvesting process behind them. Search terms that converted profitably were never promoted into dedicated exact-match campaigns, so the account paid broad-match prices for keywords it had already proven. Nothing compounded — every week the campaigns re-discovered the same terms at the same cost.

Problem 2

No ranking strategy

Because converting search terms were never isolated into exact match, the account had no mechanism for concentrating spend behind the handful of keywords that actually drive organic rank. Advertising was buying sales, not buying position.

Problem 3

Listing titles were not front-loaded

The primary keywords did not appear within the first 50–70 characters of the titles — the portion Amazon weights most heavily, and the only portion most shoppers read on mobile. The listings were competing for relevance they should have owned by default.

07Timeline

How the engagement ran

How the engagement ranDay 0AuditBaseline every number; three structural problems identifiedPhase 1Fix conversion before scaling spendTitles front-loaded, copy and graphics rebuilt, bulk promotions launchedPhase 2Rebuild the advertising structureSearch-term harvest, exact-match isolation for rank, non-converters negatedPhase 3Open Sponsored BrandsCategory-appropriate creative: harvesting and extraction, not generic product shotsNow$991,473 trailing twelve months24,002 orders · 73% organic · 6.65% TACOS
08The work

What we did

Phase 1

Fix the foundation before scaling spend

We deliberately addressed conversion before touching budgets. Sending more traffic to an underperforming listing multiplies the waste rather than the return.

  • Listing content rewritten — primary keywords moved into the leading characters of the title; bullets and copy restructured around customer engagement rather than specification.
  • Graphics rebuilt to lift conversion rate on the traffic already arriving.
  • Promotional strategy launched, structured to encourage bulk-quantity purchases and lift order value.
What it did: Average order value rose from $35.95 to $41.37 (+15.1%) while unit volume grew in parallel — customers are buying more per order, not simply buying more often.
Phase 2

Rebuild the advertising structure

With the listings converting, we restructured the ad account around a harvest-and-isolate model.

  • Full search-term analysis across all campaigns to separate proven converters from spend that was bleeding.
  • Missing opportunities captured — converting terms that had never been given dedicated targeting were promoted into exact-match campaigns.
  • Exact-match targeting used deliberately for rank, concentrating budget where position was winnable rather than spreading it across discovery.
  • Non-converting targets negated at campaign and ad-group level to stop the leakage funding the discovery layer.
What it did: Paid sales as a share of total revenue fell from 34.7% to 27.1%, and in the most recent 30-day window 73% of orders came through organically (1,166 organic vs 432 PPC). The account is supported by advertising rather than dependent on it.
Phase 3

Open the Sponsored Brands channel

The audit surfaced a significant untested gap: the brand had never run Sponsored Brands campaigns. We proposed creative development, secured client approval, and produced assets built specifically for the food category — natural visuals showing the harvesting and extraction process. In grocery, provenance is the purchase driver: shoppers want to know where the honey came from and how it was made before they buy. Generic product imagery does not answer that question; process imagery does.

  • Sponsored Brands became a meaningful contributor to brand sales from launch.
09One page

The whole engagement as a flow

The results in detail

Consistency, not spikes

The clearest signal in the data is not the peak weeks — it is the floor. In the first 26 weeks, exactly one week cleared $18,000. In the most recent 26 weeks, all 26 did. The worst week of the current period ($18,212) is 44% higher than the best week of the baseline period ($12,687). That is the signature of organic rank being built and held, rather than sales being rented through advertising.

Peak performance

Best month: November 2025 — $100,782, the brand’s first six-figure month, at 5.77% TACOS. Best week: 23–29 November 2025 — $32,909 in sales, 752 units, 15.8% ACOS, 6.32 ROAS.

Efficiency across the whole engagement

Blended TACOS across the full engagement is 7.65%. Over 125 weeks the account generated $2,216,567 in tracked sales on $169,600 in ad spend, with $669,963 directly attributed to advertising.

Performance held through headwinds

The growth was not achieved in clean conditions. The account absorbed multiple out-of-stock events on top-selling variations (January–February 2026 and March 2026) and negative reviews on the hero ASIN (March–April 2026). Revenue dipped during those windows and recovered to trend each time — evidence that the ranking gains were structural rather than spend-dependent.

11Lifetime

Across the whole engagement

125
weeks of engagement
$2,216,567
tracked sales over the engagement
$169,600
total ad spend
7.65%
blended TACOS, whole engagement
$100,782
best month — Nov 2025, at 5.77% TACOS
$32,909
best week — 23–29 Nov 2025, 6.32 ROAS

Why it worked

1

Conversion before traffic

Fixing titles, content and graphics first meant every subsequent advertising dollar landed on a listing that could convert it.

2

Harvesting instead of discovery

Isolating proven converters into exact match turned advertising into a compounding asset rather than a recurring cost.

3

Rank as the objective

Buying position rather than buying sales is what moved 73% of orders to organic and pulled TACOS from 11.26% to 6.65%.

4

Testing the untested channel

Sponsored Brands with category-appropriate creative opened a revenue line that had simply never been switched on.

Published with the client’s permission. The brand name is withheld at the client’s request; category, marketplace, period and every figure are unchanged. Figures are taken from the account’s Seller Central business reports and Campaign Manager exports. Results vary by account, category and competition — this is one account’s record, not a forecast.

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