Audit Details — Appears in Your Downloaded Report
ASIN
Product Name
Primary Keyword
SOP09062026
High ACoS on Exact Match — What's Really Causing It
A diagnostic audit to find and fix the real root cause of high ACoS in exact match campaigns
Audit Progress
0 / 38 checks
Start with Factor 1 — cannibalization is the most common hidden cause of high ACoS.
Setup
F1 Cannibalization
F2 Bid vs CVR
F3 Listing Gap
F4 Price Pressure
F5 Search Term Drift
F6 Product Stage
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Objective
Purpose
This SOP diagnoses why an exact match campaign is producing high ACoS. Exact match is a traffic filter — it does not guarantee conversion. This audit identifies the specific factor causing the problem and provides a fix sequence. Run this audit before changing any bids.
Core Principle
ACoS = Bid ÷ (CVR × Price) × 100. Match type is not in this formula. High ACoS on exact match is always caused by one or more of six specific factors — bid misalignment, cannibalization, listing gap, price pressure, search term drift, or wrong product stage strategy.
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Team Responsibilities
| Role | Factors | Responsibility |
|---|---|---|
| PPC Manager | F1, F2, F5 | Campaign structure, bid alignment, search term hygiene |
| Listing Manager | F3 | Conversion rate — images, copy, A+ content, reviews |
| Business Owner | F4, F6 | Pricing strategy, product stage decisions, margin targets |
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Pre-Audit Setup
Pre-Audit
Setup Checklist
0 / 4 checks
Pending
Open Seller Central → Campaign Manager
Filter to Sponsored Products → Exact Match campaigns for the target ASIN
Download Search Term Report — last 30 days
Reports → Advertising Reports → Search Term Report → Sponsored Products
Open Business Reports → Detail Page Sales and Traffic by Parent Item
Note Unit Session Percentage for the ASIN being audited
Note the product's current price and calculate break-even ACoS
Break-Even ACoS = (Profit Margin ÷ Price) × 100
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Diagnostic Factors
Factor 1 of 6
Keyword Cannibalization
0 / 6 checks
Pending
Search the target keyword in Campaign Manager search bar
Count how many campaigns this keyword appears in across all match types
Identify if the keyword exists in auto, broad, AND exact simultaneously
Even two campaign types with same keyword causes partial cannibalization
If found in multiple campaigns — add as Negative Exact in auto and broad
Keep keyword only in exact match campaign — one keyword, one campaign type
Repeat for top 5 highest-spend exact match keywords
Sort Campaign Manager by Spend — work through top keywords in order
Verify negative keywords were saved correctly — wait 24 hours for effect
Check back next day to confirm delivery is now concentrated in exact match
Document all negatives added with date — add to campaign notes
Campaign Manager → Edit Campaign → Notes field
What to Look For
1 campaign
No cannibalization — proceed to Factor 2
2 campaigns
Partial cannibalization — negate from the lower-priority campaign
3+ campaigns
Full cannibalization — negate from all except exact match immediately
Common mistake: Sellers only check auto campaigns for cannibalization and miss broad. Always check auto, broad, phrase, and any video/sponsored brands using the same keyword.
Factor 2 of 6
Bid vs Conversion Rate Alignment
0 / 6 checks
Pending
Get Unit Session Percentage from Business Reports
Business Reports → Detail Page Sales and Traffic by Parent Item → Unit Session Percentage
Calculate break-even bid: Break-Even Bid = CVR × Price × Target ACoS %
Example: 8% CVR × ₹500 price × 30% target = ₹12 break-even bid
Compare current bid to break-even bid for each keyword
If current bid is significantly above break-even — reduce in 15–20% steps, not all at once
Identify keywords with fewer than 10 clicks in 30 days
Insufficient data — do not optimize these until they have more click volume
Check if Unit Session Percentage is below 10%
Below 10% = listing conversion problem — fix listing before adjusting bids
Set bid adjustment schedule — check again in 7 days after change
Never evaluate bid changes in under 7 days — data is statistically unreliable
Unit Session Percentage Benchmarks
15%+
Healthy — listing is converting, optimize bids
10–15%
Average — small listing improvements can have big impact
Below 10%
Listing problem — fix listing before touching bids
Common mistake: Lowering bids without checking conversion rate first. If CVR is 5%, even a ₹10 bid on a ₹500 product produces 40% ACoS. The only sustainable fix is improving CVR.
Members Only — Free Account Required
4 More Factors + AI Prompt Library + Scorecard Inside
You've seen the first two factors. The remaining four cover listing conversion gaps, price pressure, search term drift, and product stage strategy — plus AI prompts to do this audit in 5 minutes.
Factor 3 — Listing Conversion Gap diagnosis
Factor 4 — Competitor Price Pressure check
Factor 5 — Search Term Drift (exact match close variants)
Factor 6 — Product Stage vs Bid Strategy matrix
AI Prompt Library — 6 copy-paste prompts, Claude + Gemini
Downloadable audit report with your ASIN + scores
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Factor 3 of 6
Listing Conversion Gap
0 / 6 checks
Locked
Factor 4 of 6
Competitor Price Pressure
0 / 6 checks
Locked
Factor 5 of 6
Search Term Drift
0 / 5 checks
Locked
Factor 3 of 6
Listing Conversion Gap
0 / 6 checks
Pending
Check Unit Session Percentage — confirm it is below 10%
If above 10% — this factor is not the cause. Move to Factor 4.
Count images — must have 7 or more, including one lifestyle and one infographic
Amazon allows up to 9 images — missing slots are missed conversion opportunities
Verify primary keyword appears in first 5 words of title
Title should be 150–200 characters with primary keyword leading
Check star rating — below 3.8 stars signals a conversion risk
Below 3.5 stars causes significant conversion drop regardless of listing quality
Verify A+ Content is active and populated
A+ Content improves conversion rate by 5–10% on average when well-executed
Check CTR vs USP to confirm the problem is post-click
If CTR above 0.4% AND USP below 10% — confirmed listing problem, not targeting problem
Listing Health Benchmarks
USP 15%+
Listing converting well — problem is not here
USP 10–15%
Listing gap exists — improvements will have PPC impact
USP below 10%
Listing is causing high ACoS — fix listing before adjusting bids
Common mistake: Running PPC to a listing with fewer than 15 reviews or below 3.8 stars. PPC cannot compensate for a listing that buyers don't trust. Fix the listing before scaling spend.
AI Shortcut
Claude
Ready-to-use prompt
I am an Amazon seller. My Unit Session Percentage is [X]%.
My listing details:
Title: [paste current title]
Bullet Points: [paste all 5 bullets]
Images: [list — main, lifestyle, infographic, etc.]
Price: [X] | Star rating: [X] | A+ Content: [active/not active]
Diagnose why my conversion rate may be low.
Benchmarks: above 15% healthy, below 10% critical.
1. What is the single weakest element in my listing?
2. What should I fix first to improve conversion rate?
3. Will fixing this listing element reduce my ACoS?
AI returns: Weakest listing element, priority fix, and expected ACoS impact
Factor 4 of 6
Competitor Price Pressure
0 / 5 checks
Pending
Search your primary exact match keyword on Amazon — note first 3 organic and 2 sponsored results
Record price, star rating, and review count for each competitor
Calculate price gap — are you more than 15% above the category average price?
Price gap above 15% with similar or lower rating significantly hurts conversion
Check if top competitors have significantly more reviews
3× more reviews with similar product quality makes conversion very difficult at higher price
Evaluate if your value proposition justifies the price premium
Premium price requires clear differentiation — brand, warranty, bundle, specs, or unique benefit
If price gap is the cause — consider temporary price match or coupon strategy
Even a 5–7% coupon can shift buy box conversion meaningfully
Price Gap Benchmarks
Within 10%
Price is competitive — not the primary cause
10–20% higher
Competitive pressure — strong listing differentiation needed
20%+ higher
Price is likely causing conversion failure — investigate urgently
Common mistake: Ignoring competitor price movement as a variable. A campaign running at 28% ACoS for 6 months can shift to 55% if a competitor cuts price by 20%. Check this monthly.
AI Shortcut
Gemini
Ready-to-use prompt
I am an Amazon seller analyzing competitor price pressure.
My product: Price [₹X], Star Rating [X], Review Count [X], Category [X]
Top 3 competitors (copy from search results):
Competitor 1: Price [₹X], Rating [X], Reviews [X]
Competitor 2: Price [₹X], Rating [X], Reviews [X]
Competitor 3: Price [₹X], Rating [X], Reviews [X]
1. What is my price position relative to the category average?
2. Is my price gap likely causing conversion failure on my exact match traffic?
3. What is the maximum price premium I can charge given my review count and rating?
4. What pricing or promotional action should I take first?
AI returns: Price position analysis, conversion impact assessment, and recommended action
Factor 5 of 6
Search Term Drift (Close Variants)
0 / 5 checks
Pending
Download Search Term Report — filter to Match Type = Exact
Reports → Advertising Reports → Search Term Report → filter by match type in spreadsheet
In Customer Search Term column — identify any terms you did not explicitly target
These are Amazon's close variants — your bid is serving on these automatically
For each unintended variant — check its conversion rate vs the primary keyword
Variants with 0 conversions on 10+ clicks are wasting budget at your full bid
Add low-converting variants as Negative Exact Match in the campaign
This stops budget from flowing to irrelevant or low-intent variants
Schedule monthly Search Term Report review — recurring calendar reminder
New variants appear continuously — monthly hygiene is required, not optional
Variant Performance Check
CVR similar
Variant is converting similarly to primary — keep it
CVR 50% lower
Variant is underperforming — consider bid reduction or negative
0 conversions 10+ clicks
Pure budget waste — add as negative exact immediately
Common mistake: Assuming exact match campaigns never need Search Term Report review. Amazon adds new close variant matching continuously. Skipping this monthly check guarantees gradual drift and ACoS inflation.
AI Shortcut
Gemini
Ready-to-use prompt
Below is my Amazon Search Term Report for exact match campaigns — last 30 days.
[paste CSV data here]
1. Which customer search terms are close variants — not exactly matching my target keywords?
2. For each variant, what is the conversion rate compared to the primary keyword?
3. Which variants have 10+ clicks with zero conversions?
4. List the variants I should add as Negative Exact Match — ranked by wasted spend highest first.
5. Are there any high-converting variants I should promote to their own exact match keyword?
AI returns: Variant analysis, waste list ranked by spend, and new keyword opportunities
Factor 6 of 6
Product Stage vs Bid Strategy
0 / 5 checks
Pending
Determine current product stage based on days live and review count
Launch: 0–90 days or under 25 reviews. Growth: 90–180 days or 25–100 reviews. Mature: 180+ days or 100+ reviews.
Verify that ACoS target is appropriate for the current stage
A 60% ACoS on a launch product may be correct. Same ACoS on a mature product needs action.
Calculate break-even ACoS using actual product margin
Break-Even ACoS = (Net Margin ÷ Selling Price) × 100
If mature product running at launch-phase ACoS — identify cause from Factors 1–5
A mature product with 60%+ ACoS has an unresolved structural problem — not a stage issue
Document target ACoS and review in 30 days as product matures
Target ACoS should decrease as organic rank improves and reviews accumulate
Stage-Appropriate ACoS Expectations
Mature + <25%
On-target — maintain strategy, optimize further
Growth + 30–40%
Normal — focus on conversion rate improvement
Mature + 50%+
Problem — re-run Factors 1–5, stage is not the cause
Common mistake: Applying launch-stage aggressive bidding to mature products indefinitely. Once a product has organic ranking and reviews, excessive PPC spend has diminishing returns. ACoS target must evolve with the product.
AI Shortcut
Claude
Ready-to-use prompt
I am an Amazon seller evaluating my PPC strategy for a product.
Product details:
Days live on Amazon: [X]
Total reviews: [X] | Average star rating: [X]
Current ACoS: [X]% | Current monthly PPC spend: ₹[X]
Selling price: ₹[X] | Net margin before ads: [X]%
Organic rank for primary keyword: [X]
1. What product stage am I in (Launch / Growth / Mature)?
2. Is my current ACoS appropriate for this stage?
3. What is my break-even ACoS given my margin?
4. Should I increase, maintain, or reduce PPC spend at this stage?
5. What is the single most important strategic shift for my current stage?
AI returns: Stage assessment, ACoS evaluation, break-even calculation, and strategic recommendation
AI
AI Prompt Library — All 6 Factors
Same audit. Done with AI. Pick a factor, copy the prompt, paste your data, and get instant analysis.
Factor 1 — Cannibalization
Gemini
Ready-to-use prompt
Below is my Amazon Sponsored Products Search Term Report or bulk file for last 30 days. [paste CSV data here]
1. Which keywords appear across multiple campaign types (auto, broad, exact)?
2. List all cannibalized keywords — show which campaigns they appear in.
3. For each cannibalized keyword, which campaign should keep it and which should negative it?
4. Rank by spend — highest cannibalization cost first.
AI returns: Cannibalized keyword list ranked by wasted spend, with specific negative keyword recommendations
Factor 2 — Bid vs CVR
Claude
Ready-to-use prompt
I am an Amazon seller running exact match campaigns. Below is my campaign data for last 30 days — keyword, bid, clicks, spend, sales, ACoS — plus my product's Unit Session Percentage from Business Reports. [paste data here]
1. Is my current bid aligned with my actual conversion rate?
2. What is my break-even bid for each keyword?
3. Which keywords are most out of alignment?
4. What is the single most important bid adjustment I should make first?
AI returns: Break-even bid per keyword, misalignment ranking, and priority bid action
Factor 3 — Listing Conversion Gap
Claude
Ready-to-use prompt
I am an Amazon seller. My Unit Session Percentage is [X]%.
My listing details: Title: [paste] | Bullets: [paste all 5] | Images: [list] | Price: ₹[X] | Star rating: [X] | A+ Content: [active/not active]
Diagnose why my conversion rate may be low. Benchmarks: above 15% healthy, below 10% critical.
1. What is the single weakest element in my listing?
2. What should I fix first to improve conversion rate?
3. Will fixing this listing element reduce my ACoS?
AI returns: Weakest listing element, priority fix recommendation, and expected ACoS impact
Factor 4 — Price Pressure
Gemini
Ready-to-use prompt
I am an Amazon seller analyzing competitor price pressure.
My product: Price ₹[X], Star Rating [X], Review Count [X], Category [X]
Top 3 competitors: Competitor 1: ₹[X], [X]★, [X] reviews | Competitor 2: ₹[X], [X]★, [X] reviews | Competitor 3: ₹[X], [X]★, [X] reviews
1. What is my price position relative to the category average?
2. Is my price gap likely causing conversion failure on my exact match traffic?
3. What pricing or promotional action should I take first?
AI returns: Price position analysis, conversion impact assessment, and recommended action
Factor 5 — Search Term Drift
Gemini
Ready-to-use prompt
Below is my Amazon Search Term Report for exact match campaigns — last 30 days. [paste CSV data here]
1. Which customer search terms are close variants — not exactly matching my target keywords?
2. For each variant, what is the conversion rate compared to the primary keyword?
3. Which variants have 10+ clicks with zero conversions?
4. List variants to add as Negative Exact Match — ranked by wasted spend.
5. Are there high-converting variants I should promote to their own exact match keyword?
AI returns: Variant analysis, negative keyword list by waste, and new keyword opportunities
Factor 6 — Product Stage
Claude
Ready-to-use prompt
I am an Amazon seller evaluating PPC strategy for a product.
Days live: [X] | Reviews: [X] | Avg rating: [X] | Current ACoS: [X]% | Monthly spend: ₹[X] | Price: ₹[X] | Net margin before ads: [X]% | Organic rank primary keyword: [X]
1. What product stage am I in (Launch / Growth / Mature)?
2. Is my current ACoS appropriate for this stage?
3. What is my break-even ACoS given my margin?
4. Should I increase, maintain, or reduce PPC spend?
5. What is the single most important strategic shift for my current stage?
AI returns: Stage assessment, break-even ACoS, spend recommendation, and strategic priority
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Optimization Sequence — Run in This Order
1
Remove Cannibalization
Negate top exact match keywords from auto and broad campaigns. This is a structural fix — it makes all other data more reliable.
2
Align Bid to Conversion Rate
Calculate break-even bid for each keyword. Reduce overbids in 15–20% steps. Never cut bid by more than 25% at once.
3
Fix Listing Conversion Gap
If Unit Session Percentage is below 10% — prioritize listing fixes over bid changes. Images, title, reviews, A+ content.
4
Address Price Gap
If price is 15%+ above category average with lower reviews — run a coupon or temporary price match before scaling spend.
5
Clean Search Term Variants
Review Search Term Report monthly. Negative exact match any variant with 10+ clicks and zero conversions.
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Decision Matrix
| Situation | Root Cause | Action |
|---|---|---|
| Same keyword in 2+ campaigns | Cannibalization | Negate in all non-exact campaigns |
| ACoS high, CTR ok, USP below 10% | Listing conversion gap | Fix listing — not bids |
| ACoS high, bid above break-even | Bid misalignment | Calculate break-even bid, reduce in steps |
| ACoS rose suddenly without campaign change | Competitor price cut or review drop | Check competitor prices and review velocity |
| Exact match serving unexpected search terms | Search term drift / close variants | Negative exact match irrelevant variants |
| ACoS high on launch product (0–90 days) | Normal — launch stage | Maintain strategy, build reviews, reassess at 90 days |
| ACoS high on mature product (180+ days) | Structural problem — run full audit | Re-run Factors 1–5 in sequence |
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Frequency of Review
| Task | Who | Frequency |
|---|---|---|
| Cannibalization check | PPC Manager | Monthly or after adding new exact match keywords |
| Bid vs CVR alignment | PPC Manager | Bi-weekly — every 14 days minimum |
| Unit Session Percentage check | Listing Manager | Weekly during active campaigns |
| Competitor price monitoring | Business Owner | Monthly or when ACoS shifts suddenly |
| Search Term Report review (exact) | PPC Manager | Monthly — non-negotiable |
| Product stage re-evaluation | Business Owner | Every 90 days or at major milestone (50, 100 reviews) |
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KPI Benchmarks
| KPI | Healthy | Action Threshold |
|---|---|---|
| ACoS (Mature Product) | Below 25% | Above 40% — run full audit |
| Unit Session Percentage | 15%+ | Below 10% — fix listing before bids |
| CTR (Exact Match) | 0.5%+ | Below 0.3% — image or title problem |
| Cannibalization | 0 duplicate keywords | Any keyword in 2+ campaigns — negate immediately |
| Search Term Drift Rate | Less than 10% of clicks on unintended variants | Above 20% — run Search Term Report cleanup |
| Price Gap vs Category | Within 10% of average | Above 20% — pricing or coupon strategy needed |
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Live Audit Scorecard
Exact Match ACoS Audit — Live Score
0 / 6
F1 — Keyword Cannibalization
PendingF2 — Bid vs Conversion Rate
PendingF3 — Listing Conversion Gap
PendingF4 — Competitor Price Pressure
PendingF5 — Search Term Drift
PendingF6 — Product Stage Strategy
Pending10
Common Mistakes to Avoid
1
Lowering bids as the first action
Bid changes fix bid problems. If the issue is cannibalization, listing quality, or product stage — bid changes make diagnosis harder by reducing data volume.
2
Not running Search Term Report on exact match campaigns
Amazon's close variant matching means exact match is never truly exact. Monthly review is required to prevent gradual ACoS inflation from low-intent variants.
3
Treating all high ACoS as the same problem
A 60% ACoS on a 30-day-old product with 10 reviews is different from a 60% ACoS on an 18-month-old product. Always identify stage before acting.
4
Running PPC to an unconverted listing
PPC amplifies a listing's conversion rate — good or bad. A listing that converts at 5% cannot become profitable with PPC alone. Fix listing first.
5
Ignoring cannibalization when structuring new campaigns
Every time a new exact match campaign is created, check if those keywords already exist in auto or broad. Build the rule in — not as a cleanup task.
6
Evaluating bid changes in under 7 days
Statistical significance in Amazon PPC requires at least 7–14 days of data per change. Reverting changes before data matures creates compounding confusion.
Final Operating Principle
Exact match controls which traffic arrives. It does not control what happens after the click. High ACoS on exact match is always a signal from one of six specific factors — bid math, campaign structure, listing health, price position, search term hygiene, or stage mismatch. Diagnose first. Act on the right variable. In the right sequence.
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