A before-and-after campaign restructure that reduced waste and improved profitable volume.

Case Study: PPC Restructure That Cut ACoS by 18 Points

Context

This is a case study about a seller who was four months into his first Amazon FBA product launch, spending $2,800/month on PPC, generating $6,200/month in ad-attributed revenue — and netting almost nothing after fees and COGS. The blended ACoS was 45%. The break-even ACoS for his product, a portable laptop stand priced at $37.99, was approximately 28%. He was 17 points above profitable.

The product itself was fine. Reviews were positive, averaging 4.4 stars across 38 reviews by the time the restructure began. Organic rank was holding on secondary keywords. The fundamental problem was campaign architecture — specifically, a structure that had been set up at launch and never meaningfully changed. The campaigns were generating impressions and clicks, but the traffic mix was unfavorable, bid logic was inconsistent, and an estimated $840/month was being spent on search terms that had never converted a single sale.

The six-week restructure cut ACoS from 45% to 27%. Total ad spend changed by less than 4%. Revenue from advertising increased by 31%.

The Before State: What the Old Structure Looked Like

The pre-restructure campaign setup was a common pattern for sellers who launch quickly and then let campaigns run on autopilot. It consisted of:

Campaign 1: Auto — "Laptop Stand Auto" (daily budget $35)

• Running on all four targeting types: close match, loose match, substitutes, complements
• Bids had been manually adjusted only twice in four months
• Default bid: $0.90
• 134 unique search terms served in the prior 30 days
• 42 of those terms had received more than 3 clicks with zero conversions

Campaign 2: Manual Broad — "Laptop Stand Broad" (daily budget $35)

• 18 keywords, all broad match
• No negatives in either campaign
• Average bid: $0.75
• Search terms being served overlapped significantly with the auto campaign, including many of the same wasteful terms
• The broad match modifier had been removed when Amazon deprecated it, but the logic of the campaign had never been rebuilt

Campaign 3: Manual Exact — "Laptop Stand Exact" (daily budget $20)

• 6 keywords, all pulled from the original keyword research at launch
• Four months later, only 2 of those 6 were converting regularly
• Budget was being spread equally across all 6 regardless of conversion performance

The combined structure was running $90/day in budget across three campaigns, with no negative keyword list, significant search term overlap between campaigns, and no differentiation in bid strategy between high-converting and low-converting terms.

The fundamental structural problem: when all three match types share keyword pools and there are no negatives, the same search term can trigger ads in two or three campaigns simultaneously. This creates internal competition, drives up CPCs, and makes it impossible to understand which match type is actually performing.

The Audit: Week 1

The restructure began with a thorough audit before any changes were made. Changing things without understanding the baseline produces a worse structure, not a better one.

The audit pulled 90 days of data from three reports: the Search Term report, the Targeting report, and the Campaign Performance report. The key findings:

Wasted spend on zero-conversion terms: 41 unique search terms had generated more than $8 in cumulative spend with zero conversions. Total spend on these terms over 90 days: $1,840. Monthly average: $613. Most common wasted term categories were competitor brand names (where the seller had no brand equity), generic category terms without purchase intent ("laptop accessories," "desk stuff"), and terms that were clearly served by loose match in the auto campaign ("portable stand for reading books" — related to a stand, but wrong product intent entirely).

High-value terms buried in poor structure: Six search terms had generated ACoS below 20% with at least 8 conversions each over 90 days. None of them were in the exact match campaign. All six were in the auto campaign, where they were competing against the wasteful terms for the same daily budget. The budget was being spread too thin across too many terms, and the winners were not receiving the concentrated investment they deserved.

Bid inconsistency: The exact match campaign had a $1.20 bid on "portable laptop stand for desk" — a term that had converted 3 times in 90 days. The same term was appearing in the auto campaign at an effective bid of $0.88. The auto campaign was essentially undercutting the exact match campaign on its own best keywords.

The break-even ACoS math: At $37.99 selling price, 15% referral fee ($5.70), $5.10 FBA fulfillment fee, and $9.20 COGS, the variable cost per unit was $20.00. The gross margin was $17.99/unit, or 47.4% of selling price. The break-even ACoS was therefore 47.4% × (1 - target net margin). At a 15% target net margin, break-even ACoS was approximately 27%. The seller was running at 45% — 18 points above where he needed to be. Use the FBA Profit Calculator to calculate your own break-even ACoS from your actual cost structure before setting optimization targets.

The Restructure: What Was Built

The new structure was designed around three principles: clean segmentation by match type, concentrated budget on proven converters, and zero overlap between campaigns.

Step 1: Pause the broad match campaign entirely. Broad match without a tightly managed negative keyword list is a budget drain. It was paused. The valuable broad match data had already been mined — four months of search term reports told the seller what was converting. That data fed the new structure.

Step 2: Build a new exact match campaign with only the proven terms. The six search terms that had generated 8+ conversions at sub-20% ACoS in the auto campaign were moved into a new exact match campaign: "portable laptop stand," "adjustable laptop stand for desk," "foldable laptop stand," "laptop stand ergonomic," "laptop riser stand," and "laptop stand for home office." Starting bids for each were set at 1.15× the auto campaign's average winning CPC for that term. Daily budget was set at $45.

Step 3: Restructure the auto campaign as a pure discovery vehicle. The auto campaign's daily budget was reduced from $35 to $18. Its sole purpose in the new structure was to find new converting search terms. The default bid was dropped from $0.90 to $0.65. All 41 zero-conversion wasteful terms were added as negatives immediately. All six high-converting terms from Step 2 were also added as negatives in the auto campaign — to prevent internal competition with the new exact match campaign.

Step 4: Add a phrase match campaign for mid-funnel terms. Three terms that were converting in the search term report but not well-suited to exact match (due to long-tail variance) were placed in a new phrase match campaign: "laptop stand for," "adjustable laptop riser," and "portable laptop desk stand." Bids were set at $0.85. Daily budget $15.

Step 5: Keyword strategy from external research. Using LaunchFast, the seller ran a keyword gap analysis to identify high-volume, high-relevance terms the campaigns had never surfaced — likely because the original keyword research at launch had been limited to obvious head terms. Three new terms were discovered: "lap desk with phone holder" (wrong product, immediately excluded), "laptop cooling stand adjustable" (relevant — added to phrase match at $0.80), and "standing desk laptop riser" (relevant — added to exact at $1.05 with a $10 daily cap while testing). LaunchFast's keyword report also flagged that the listing's backend search terms were missing two of the six highest-volume exact match keywords — those were added to the backend immediately.

Total new daily budget allocation: $78/day (vs. previous $90/day — a 13% reduction)

Why ACoS Did Not Drop Immediately

This is the part of PPC restructures that most sellers misunderstand, and it causes premature panic and reversal of changes that are actually working.

When a restructure launches, the Amazon PPC algorithm needs time to re-calibrate. This is not a mystery — it is a mechanical feature of how campaigns enter and exit the learning phase. New campaigns and significantly modified campaigns receive a period of exploratory serving that can increase CPCs temporarily while the system determines which impressions to compete for.

In the first seven days after the restructure:

• ACoS actually went up slightly — from 45% to 48%
• The seller almost reverted

The reason to hold: daily spend dropped from $90 to $62 (campaigns were not using full budget yet while learning), and the absolute dollar waste on zero-conversion terms had already stopped. The ACoS number was technically higher, but the denominator (ad-attributed sales) was temporarily suppressed because the wasteful traffic had been cut and the new exact match campaigns had not yet found their volume rhythm.

Days 8–14 were the inflection point. The exact match campaigns began winning more of the auctions they were bidding on — their Quality Scores were building. ACoS fell from 48% to 39% over those seven days.

Week-by-Week ACoS Progression

By week six, ad-attributed daily revenue was $319 — 60% above the pre-restructure baseline of $200 — while daily spend had increased by only $4. That is the structural benefit of eliminating wasted impressions and concentrating budget on proven converters.

Business Impact

The restructure's business impact extended beyond ACoS:

Margin improvement: At 45% ACoS, PPC allocation per unit sold was approximately $5.85 against an average selling price of $37.99. At 27% ACoS, PPC allocation per unit was $3.51. That $2.34/unit improvement on a product running 310 units/month added approximately $725/month to net profit.

Organic rank improvement: The concentration of budget on exact match keywords aligned with the primary search terms drove faster organic rank improvement than the diffuse original structure. By week six, the listing had moved from page two position 11 to page one position 8 for the primary keyword. Organic sales as a percentage of total sales increased from 34% to 47%.

Revenue maintained through transition: The week-one dip in ad revenue was real but temporary. By week three, ad-attributed revenue had recovered to baseline and was growing. The restructure did not trade ACoS for volume — it improved both simultaneously once the learning period passed.

Lessons

ACoS is a structure problem before it is a bid problem. Cutting bids on an architecturally broken campaign produces lower spend and lower sales simultaneously — the ratio stays broken. The first fix has to be structural: clean segmentation, no overlap, negatives in place. The full tactical playbook for this is in How to Lower ACoS Without Killing Sales.

Wasted spend is hidden in plain sight in the search term report. The 41 zero-conversion terms consuming $613/month were visible in the data the entire time. They were not acted on because there was no review cadence. Weekly search term report analysis is not optional — it is the core maintenance task of a PPC account. The negative keyword strategy guide explains exactly how to structure this review so nothing gets missed.

The learning period is real — do not revert on day four. The week-one ACoS increase almost prompted a reversal of a restructure that was working. The structural changes needed 7–10 days to demonstrate their impact. Setting a decision rule in advance ("I will not evaluate the restructure before day 14") prevents panic-driven reversals.

Keyword research should precede restructure, not follow it. The gap analysis that surfaced new high-volume terms happened as part of the restructure planning, not as an afterthought. Going into a restructure with only the terms from the original launch research means rebuilding the same gaps into the new structure.

For the foundational PPC setup that prevents the single-auto-campaign trap in the first place, Amazon PPC for Beginners covers the campaign architecture to build at launch. For context on how PPC performance connects to the broader 90-day launch arc, the Amazon FBA First 90 Days Launch Plan is the relevant framework. Visit the tools page to review additional resources for keyword strategy and campaign auditing.