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PAGE.02 / CASE FILES

PULLED FROMTHE LEDGER.

Real accounts, printed as they happened. Screenshots from the ad console, numbers left exactly as the ledger recorded them.

FILE A / 30-DAY PPC TURNAROUND

ACOS 0.00 → 0.00

Ad console before tuning: 32.12% ACoS on $14,000.98 spend
BEFORE / MARCH · ACOS 32.12 · SPEND $14,000
Ad console after 30 days: 20.84% ACoS on $5,683 spend
AFTER / APRIL · ACOS 20.84 · SPEND $5,683

The account came in burning: 32.12% ACoS against $14,000.98 of monthly ad spend. The brief was blunt, make the spend make sense within thirty days without losing the sales line.

We rebuilt the campaign architecture, isolated research from scaling, cut the wasted spend with aggressive negatives, and moved bids on the search term report weekly.

  • ACOS32.12 → 20.84
  • AD SPEND$14,000 → $5,683 (−60%)
  • SALES HELD$27K
  • PURCHASES1,382
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FILE B / EFFICIENCY AT SCALE

0.00% ACOS, SCALING

Ad console: $56,228 sales at 12.70% ACoS from 25,557 clicks
CONSOLE / $56,228 SALES · 25,557 CLICKS · $7,142 SPEND

The goal was aggressive: scale the sales volume while holding a strict profitability floor. High-converting traffic only, nothing wasted on vanity impressions.

Long-tail exact match carried the weight, dynamic bids held visibility where it converted, and every click bought was a click that had already proven it could sell.

  • ACOS12.70%
  • TOTAL SALES$56,228
  • CLICKS BOUGHT25,557
  • AD SPEND$7,142
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FILE C / LOWER ACOS, HIGHER SCALE

ACOS 0.00 → 0.00, SALES 3.4X

Amazon Ads console, July 2026: 17.97% ACOS, $34,538.72 sales, $6,207.65 spend, 1,692 purchases
BEFORE / JULY 2026 · ACOS 17.97 · SALES $34,539
Amazon Ads console, August 2026: 12.10% ACOS, $116,965.82 sales, $14,157.58 spend, 5,532 purchases
AFTER / AUGUST 2026 · ACOS 12.10 · SALES $116,966

The account was running at 17.97% ACoS. Sales were coming in, but a large share of spend went to search terms and placements that didn't convert, and discovery campaigns weren't separated from proven, profitable keywords. Every push for growth meant spending more; every cut meant losing sales.

We audited every campaign, keyword and search term against the brand's margins. Then we rebuilt the structure: overlapping keywords removed, non-converting terms negated, proven winners moved into exact-match campaigns with controlled bids. The savings went back into the keywords with the strongest returns.

  • ACOS17.97 → 12.10 (−5.87 PTS)
  • SALES$34,539 → $116,966 (3.4X)
  • PURCHASES1,692 → 5,532
  • AD SPEND$6,208 → $14,158
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FILE D / $34K TO $116K IN SALES

$34K → $116K IN 0.0X

SellerTune case study: from $34K to $116K in Amazon sales, 3.4X revenue growth through PPC optimization
SAME ACCOUNT AS FILE C / JULY → AUGUST 2026

Sales had settled around $34K a month. Campaigns were running, but they weren't built for growth: budgets were capped on the campaigns that worked, spend leaked into keywords that never converted, and high-intent searches were going to competitors.

We set a target ACoS per product from its margin, gave every keyword one home and one bid, harvested converting search terms into exact match and added new keyword and competitor targets. Once each campaign had a clear purpose and a profitable target, we moved budget into the winners and scaled.

  • MONTHLY SALES$34,539 → $116,966
  • REVENUE GROWTH3.4X
  • ADDED SALES+$82,427
  • TIME TO RESULT1 MONTH
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CASE E IS UNWRITTEN. YOUR NUMBERS NEXT.

OPEN CASE E ↗