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 Audit Details — Appears in Your Download

SOP 230626 Amazon PPC Audit Keyword Diagnosis
Identify the One Bad Keyword Draining Your Budget — Fast
A 5-factor diagnostic framework to find and fix the single keyword silently consuming your PPC budget — before it destroys another month's ROI.
15–20 minutes Seller Central · Search Term Report Run Monthly 5 Diagnostic Factors
0 / 32 checks Start with Factor 1 — most budgets drain at the spend share gap.
Setup F1: Spend Share Gap F2: Funnel Break F3: Match Type Leak F4: Zero-Conversion F5: Decision Threshold
1
Objective

This SOP identifies the single keyword in your Amazon PPC campaign that is consuming a disproportionate share of your budget while generating minimal sales. Campaign-level ACoS hides this problem — keyword-level spend concentration reveals it.

Run this audit monthly, or immediately after any unexplained ACoS spike. Each of the 5 factors is a diagnostic signal — the more signals a keyword triggers, the more certain your diagnosis.

Core Principle

Campaign ACoS is a weighted average. One keyword at 280% ACoS with 35% spend share will make a healthy campaign look mediocre — and a mediocre campaign look catastrophic. Always audit at keyword level, not campaign level.

2
Team Responsibilities
RoleFactorsResponsibility
PPC ManagerF1, F2, F3, F4, F5Run full keyword-level audit; identify pause / bid-down candidates
Campaign OwnerF3, F5Approve negative keyword additions and bid changes above 30%
Account AnalystF1, F4Maintain spend share tracking spreadsheet and zero-conversion log
3
Pre-Audit Setup

 Complete Before Running Any Factor

Log in to Seller Central → Advertising → Campaign Manager Confirm the correct marketplace is selected (Amazon.in or relevant region)
Navigate to Reports → Advertising Reports → Search Term Report Set date range to last 30 days — minimum 30 days required for statistical reliability
Download the Search Term Report as CSV Open in Excel or Google Sheets — you will add calculated columns in F1 and F4
Note your campaign's average CPC from Campaign Manager Required for F4 threshold calculation — look at the CPC column at campaign level
Confirm your target ACoS (or Break-Even ACoS if target is unknown) Break-Even ACoS = Profit Margin % — needed for F5 zone classification
4
Diagnostic Factors
GAP
Factor 1 — Free Preview
Spend Share vs Sales Share Gap
0 / 6 checks
Pending
Spend Share Gap — Diagnostic Model
Keyword Spend % Sales % Gap
wireless earphone 12% 18% +6%
bt earphone india 9% 11% +2%
earphone cheap wireless 31% 4% −27%
Row 3 = budget drainer. Gap worse than −15% → review immediately.
Steps
In your Search Term Report, add a new column: Spend Share % Formula: = (This keyword's Spend) / SUM(All Spend) × 100
Add another column: Sales Share % Formula: = (This keyword's Sales) / SUM(All Sales) × 100
Add a Gap column: Spend Share % minus Sales Share % Negative gap = keyword spending more than it earns. Positive gap = efficient keyword.
Sort the Gap column — most negative value first The keyword at the top of this sorted list is your primary suspect
Flag any keyword with Gap worse than −15% for further diagnosis These are review candidates — proceed to F2, F3, F4 on each flagged keyword
Flag any keyword with Gap worse than −25% as immediate pause candidate This level of concentration gap is rarely recoverable — action is almost always warranted
Healthy
Gap 0% to +10% — keyword contributing proportionally
Review
Gap −5% to −15% — investigate match type and funnel
Pause Candidate
Gap worse than −25% — pause or bid down 50%+ immediately
Critical
Gap worse than −15% with zero conversions — immediate action

Common mistake: evaluating spend share alone without comparing it to sales share. A keyword with 30% spend share is not a problem if it also delivers 30% of sales — the gap is what matters, not the absolute number.

0
Factor 2 — Free Preview
Funnel Break: Impressions → Clicks → Conversions
0 / 5 checks
Pending
Keyword Funnel Diagnosis Model
Impressions
10,000
▼ CTR 3.8%
Clicks
380
▼ CVR 0.5% ← BREAK HERE
Orders
2
ACoS = 312%
Funnel break at CVR → listing or intent mismatch. Diagnosis: not a keyword problem — a conversion problem.
Steps
For each flagged keyword from F1, check its Impressions column Low impressions (<500/month) = low-volume keyword — insufficient data to diagnose
Calculate CTR: Clicks ÷ Impressions × 100 Record this in your spreadsheet — below 0.3% = critical CTR problem
Calculate CVR: Orders ÷ Clicks × 100 Below 5% for PPC traffic = investigate listing quality, price, reviews, images
Identify where the funnel breaks — CTR stage, CVR stage, or both CTR break → bid issue or keyword-product mismatch. CVR break → listing issue. Both → intent mismatch.
Note the break point for each flagged keyword — carry forward to F5 for action decision Funnel break type determines whether to pause, bid down, or fix listing
Healthy CTR
Above 0.5% — keyword is relevant and ad is compelling
Average CTR
0.3%–0.5% — acceptable, monitor for decline
Critical CTR
Below 0.3% — keyword-listing mismatch or weak main image
Critical CVR
Below 5% on PPC — listing is not converting paid traffic

Common mistake: pausing a keyword when the funnel break is at CVR, not CTR. If clicks are arriving but not converting, the keyword is not the problem — the listing is. Pausing the keyword solves nothing and removes potentially valuable traffic.

Members Only
3 More Factors + AI Prompt Library + Scorecard
Factors 1–2 above are free. Create a free account to unlock the complete diagnostic system — including the decision matrix, AI shortcuts, and downloadable audit report.
  • Factor 3: Match Type Leakage — where Broad and Auto waste budget
  • Factor 4: Zero-Conversion threshold filter
  • Factor 5: 3-Zone Decision Matrix (Pause / Bid Down / Keep)
  • AI Prompt Library — Gemini + Claude prompts, copy-ready
  • Live Scorecard + Downloadable TXT Audit Report
or
Factor 3
Match Type Leakage
🔒 Locked
₹0
Factor 4
Zero-Conversion Keyword Filter
🔒 Locked
Keep Bid Down Pause
Factor 5
3-Zone Decision Threshold
🔒 Locked
!
Factor 3
Match Type Leakage
0 / 6 checks
Pending
Match Type Leakage — What You Set vs What Amazon Served
Customer Search Term Match Trigger Relevant?
earphone case cover Broad — from "earphone" No
cheap speaker 100 rupees Auto match No
wireless earphone under 500 Broad match Yes
Red rows = negative keyword candidates. Add as Negative Exact in campaign.
Steps
In Search Term Report, locate the Customer Search Term column This shows what Amazon actually matched — different from your keyword column
Filter for Broad match and Auto-targeted rows only Exact match rows rarely have leakage — focus leakage audit on Broad and Auto
Review each Customer Search Term — is it relevant to your product category and buyer intent? Ask: "Would someone searching this term buy my product?" If no — it's leakage.
Build a list of irrelevant search terms — these become Negative Exact keywords Categories: wrong product type, wrong price intent, wrong use case, wrong buyer stage
Add all identified irrelevant terms as Negative Exact in Campaign Manager Go to: Campaign → Ad Group → Negative Keywords → Add keywords as Negative Exact
Schedule a weekly Search Term review for all Broad and Auto campaigns Leakage accumulates every week — weekly review prevents budget erosion from recurring
Clean
All search terms relevant — no negative keywords needed
Minor Leakage
1–3 irrelevant terms per week — add negatives, monitor weekly
Active Leakage
5+ irrelevant terms — significant budget waste, add negatives immediately
Structural Leakage
Keyword too broad for product — consider moving to Phrase or Exact only

Common mistake: running Broad match campaigns for more than 30 days without a single negative keyword review. Amazon will expand targeting to increasingly irrelevant terms over time — weekly review is non-negotiable for Broad match campaigns.

AI Shortcut
Gemini
~2 min vs 20 min manual Paste: Search Term Report CSV
Ready-to-use prompt
Below is my Amazon Search Term Report for the last 30 days. [paste CSV data here] For each row where Match Type is Broad or Auto: 1. Identify Customer Search Terms that are irrelevant to the product category 2. Flag terms with wrong price intent (e.g., "cheap", "100 rupees") 3. Flag terms from a different product category entirely 4. List all flagged terms as Negative Exact keyword candidates 5. Which 3 negative keywords would recover the most wasted spend immediately?
AI returns: sorted list of irrelevant search terms + top 3 negative keyword priorities ranked by spend recovered
₹0
Factor 4
Zero-Conversion Keyword Filter
0 / 5 checks
Pending
Zero-Conversion Filter — Sorted by Spend (₹)
Keyword Spend (₹) Clicks Orders
earphone bluetooth cheap ₹4,200 350 0
best earphone under 200 ₹3,100 258 0
earphone online india ₹2,800 233 0
Total wasted spend: ₹10,100 — 0 orders across all 3 keywords
Steps
In Search Term Report, filter Orders column to show only rows where Orders = 0 Excel: Data → Filter → Orders column → Number Filters → Equals 0
Sort the filtered rows by Spend column — descending (highest spend first) This ranks zero-conversion keywords by how much they cost — highest priority at top
Apply the spend threshold: flag keywords where Spend ≥ (Average CPC × 2) Example: avg CPC ₹12, threshold = ₹24 per conversion. 30 clicks = ₹360 — if zero orders, flag it.
Do NOT flag keywords with fewer than 15 clicks — insufficient data to decide Low-click keywords need more data before action — they may simply not have gotten enough traffic yet
For each threshold-crossed zero-conversion keyword, check if the search term is relevant If relevant → reduce bid 40–50%, give 2 more weeks. If irrelevant → pause immediately.
Insufficient Data
Below 15 clicks with 0 orders — wait for more data before action
Watch Zone
15–30 clicks, 0 orders — reduce bid 20–30%, observe next 2 weeks
Failed Threshold
Spend ≥ 2× avg CPC per conversion, 0 orders — pause or reduce bid 50%
Immediate Pause
50+ clicks, 0 orders, irrelevant search term — pause today, no debate

Common mistake: applying the same action to all zero-conversion keywords regardless of click count. A keyword with 5 clicks needs more data. A keyword with 60 clicks and zero orders has been tested thoroughly by the market — they are different situations requiring different responses.

AI Shortcut
Gemini
~2 min vs 15 min manual Paste: Search Term Report CSV (filtered or full)
Ready-to-use prompt
Below is my Amazon Search Term Report for the last 30 days. [paste CSV data here] My average CPC is ₹[X]. For keywords with zero orders (Orders = 0): 1. Calculate the spend threshold: Average CPC × 2 × expected conversions 2. List all keywords that have crossed this threshold with 0 orders 3. Separate keywords with fewer than 15 clicks (insufficient data) from those above 15 clicks 4. For above-threshold keywords, are the search terms relevant to a typical product buyer? 5. Rank by urgency: which keyword should I pause first to recover the most wasted spend?
AI returns: threshold-sorted zero-conversion list with pause/watch/data-needed classification per keyword
KEEP BID DOWN PAUSE
Factor 5
3-Zone Decision Threshold
0 / 5 checks
Pending
Keyword Decision Matrix — 3 Zones
Zone 1 — Keep Running
ACoS at or below target · Gap neutral/positive · CTR above 0.4% · At least 1 conversion per ₹500 spend
Zone 2 — Bid Down 20–30%
ACoS 20–50% above target · Gap −10% to −20% · Some conversions but inefficient · Observe for 2 weeks after bid reduction
Zone 3 — Pause or Restructure
ACoS above 2× target OR zero conversions with spend ≥ 2× breakeven threshold · Gap worse than −25% · Action today.
Steps
For each flagged keyword from F1–F4, calculate its ACoS: Spend ÷ Sales × 100 If sales = zero, ACoS is technically infinite — treat as Zone 3 automatically
Compare keyword ACoS to your target ACoS — assign zone (1, 2, or 3) Zone 1: at/below target. Zone 2: 20–50% above. Zone 3: 2× above or zero conversions.
Execute Zone 2 actions: reduce bid by 20–30% in Campaign Manager Set a reminder to re-evaluate in 14 days — do not make further changes before that
Execute Zone 3 actions: pause the keyword OR move to Exact match + add Negative to Broad/Auto If search term is relevant: move to Exact, negative from Broad. If irrelevant: pause outright.
Document all actions taken with date and keyword in an audit log Log: keyword, action taken, date, bid before/after — needed for next month's comparison
Zone 1 — Keep
ACoS ≤ target. Gap neutral/positive. Continue running as-is.
Zone 2 — Bid Down
Reduce bid 20–30%. Review in 14 days. Do not pause yet.
Zone 3 — Pause
Pause or move to Exact + Negative. No further spend until resolved.
Zone 3 — Restructure
If search term relevant: move to Exact match, add Negative Exact to Broad campaign.

Common mistake: making bid changes and then checking back the next day. Bid changes in Amazon PPC take 3–5 days to show meaningful data changes. The 14-day review window exists for a reason — evaluate after 14 days, not 1.

AI Shortcut
Claude
~3 min vs 20 min manual Paste: Flagged keyword list from F1–F4
Ready-to-use prompt
I am an Amazon PPC manager. Below is my flagged keyword list from a Search Term Report audit. [paste flagged keyword data here] My target ACoS is [X]%. My average CPC is ₹[Y]. For each flagged keyword: 1. Classify into Zone 1 (Keep), Zone 2 (Bid Down), or Zone 3 (Pause/Restructure) 2. For Zone 2: what bid reduction percentage do you recommend? 3. For Zone 3: should I pause outright or move to Exact match + Negative? 4. Estimate monthly budget recovered if I take all Zone 3 actions today 5. What is the single most important action I should take first?
AI returns: zone classification per keyword, specific bid recommendations, estimated monthly savings, priority action
AI
AI Prompt Library — All 5 Factors

Same audit. Done with AI. Pick a factor, copy the prompt, paste your data, and get instant analysis.

Gemini
Factor 1 — Spend Share Gap
Paste: Search Term Report CSV — last 30 days
Below is my Amazon Search Term Report for the last 30 days. [paste CSV data here] For each keyword or search term: 1. Calculate Spend Share % and Sales Share % from totals 2. Find all keywords where Spend Share minus Sales Share is worse than −15% 3. List all keywords with zero conversions and spend above ₹500 4. Flag any search terms that appear irrelevant based on product category 5. Which single keyword should I pause first, and why?
AI returns: flagged keywords ranked by gap severity + single top pause recommendation
Claude
Factor 2 — Funnel Break Diagnosis
Paste: Keyword-level data — Impressions, Clicks, Orders, Spend
I am an Amazon PPC manager. Below is keyword-level data from my Search Term Report. [paste impressions, clicks, orders, spend per keyword] For each keyword: 1. Calculate CTR = Clicks / Impressions × 100 2. Calculate CVR = Orders / Clicks × 100 3. Identify where the funnel breaks: CTR stage, CVR stage, or both 4. Diagnose the likely root cause: keyword-listing mismatch, listing quality, bid issue, or intent mismatch 5. What is the recommended action for each keyword based on where its funnel breaks?
AI returns: per-keyword CTR/CVR with funnel break point and action recommendation
Gemini
Factor 3 — Match Type Leakage
Paste: Search Term Report CSV — Broad and Auto match rows
Below is my Amazon Search Term Report for the last 30 days. [paste CSV data here] For each row where Match Type is Broad or Auto: 1. Identify Customer Search Terms that are irrelevant to the product category 2. Flag terms with wrong price intent (e.g., "cheap", "100 rupees") 3. Flag terms from a different product category entirely 4. List all flagged terms as Negative Exact keyword candidates 5. Which 3 negative keywords would recover the most wasted spend immediately?
AI returns: irrelevant term list + top 3 negative keyword priorities by spend recovered
Gemini
Factor 4 — Zero-Conversion Filter
Paste: Search Term Report CSV (filtered or full)
Below is my Amazon Search Term Report for the last 30 days. [paste CSV data here] My average CPC is ₹[X]. For keywords with zero orders (Orders = 0): 1. Calculate the spend threshold: Average CPC × 2 × expected conversions 2. List all keywords that have crossed this threshold with 0 orders 3. Separate keywords with fewer than 15 clicks (insufficient data) from those above 15 clicks 4. For above-threshold keywords, are the search terms relevant to a typical product buyer? 5. Rank by urgency: which keyword should I pause first to recover the most wasted spend?
AI returns: threshold-sorted zero-conversion list with pause/watch/data-needed classification
Claude
Factor 5 — Decision Zone Classification
Paste: Flagged keyword list from F1–F4 analysis
I am an Amazon PPC manager. Below is my flagged keyword list from a Search Term Report audit. [paste flagged keyword data here] My target ACoS is [X]%. My average CPC is ₹[Y]. For each flagged keyword: 1. Classify into Zone 1 (Keep), Zone 2 (Bid Down), or Zone 3 (Pause/Restructure) 2. For Zone 2: what bid reduction percentage do you recommend? 3. For Zone 3: should I pause outright or move to Exact match + Negative? 4. Estimate monthly budget recovered if I take all Zone 3 actions today 5. What is the single most important action I should take first?
AI returns: zone classification per keyword, bid recommendations, estimated monthly savings
5
Optimization Sequence — Correct Order
1
Run Spend Share Gap (F1) — identify primary suspectCalculate Spend Share % and Sales Share % for all keywords. Sort by Gap. Flag anything worse than −15%.
2
Run Funnel Break Diagnosis (F2) — understand the type of problemFor each flagged keyword, calculate CTR and CVR. Identify whether the break is at click or conversion stage. This determines whether the fix is in the keyword or the listing.
3
Check Match Type Leakage (F3) — stop new budget wasteReview Customer Search Term column for Broad and Auto rows. Add all irrelevant terms as Negative Exact. This prevents future leakage while you fix current problems.
4
Apply Zero-Conversion Filter (F4) — triage by spend thresholdFilter Orders = 0. Sort by Spend descending. Flag keywords crossing the 2× CPC threshold with 15+ clicks. These are your confirmed waste candidates.
5
Execute 3-Zone Decision Matrix (F5) — take action todayClassify every flagged keyword: Keep / Bid Down / Pause. Execute Zone 3 actions immediately. Set 14-day review reminder for Zone 2 bid changes. Log all actions.
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Situation → Root Cause → Action
SituationRoot CauseAction
High Spend Share, Low Sales ShareKeyword over-indexed, poor conversion rateRun F2 funnel check → pause or bid down based on zone
High impressions, very low CTRProduct-keyword mismatch or weak main imageReview listing relevance; if mismatch — pause or move to Phrase/Exact
Good CTR, poor CVRListing not converting paid trafficFix listing (price, images, title, reviews) — do not pause keyword
Broad/Auto with irrelevant search termsMatch type leakageAdd irrelevant terms as Negative Exact; review weekly
Zero conversions, high spend, relevant termKeyword has valid intent but listing fails to closeReduce bid 40–50%; audit listing for conversion issues
Zero conversions, high spend, irrelevant termKeyword has no buyer intent match for productPause immediately; add as Negative if triggered by Broad/Auto
ACoS 2× above target, some conversionsKeyword converting but at unsustainable costZone 2 — bid down 20–30%; re-evaluate at 14 days
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Frequency of Review
TaskWhoFrequency
Search Term Report — Broad/Auto negative keyword reviewPPC ManagerWeekly
Spend Share Gap calculation for all active campaignsPPC Manager / AnalystMonthly
Zero-conversion keyword threshold checkPPC ManagerMonthly
Funnel break audit (CTR + CVR per keyword)PPC ManagerMonthly
3-Zone decision matrix — execute all pending actionsPPC Manager + Campaign OwnerMonthly
Review bid changes made in Zone 2PPC Manager14 days after each change
Full SOP audit — all 5 factorsPPC ManagerQuarterly or after major ACoS spike
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KPI Benchmarks
KPIHealthyAction Threshold
Spend Share Gap0% to +10%Worse than −15% → review; −25% → pause candidate
CTR (Sponsored Products)Above 0.5%Below 0.3% → critical — investigate keyword relevance
CVR (PPC traffic)Above 10%Below 5% → listing conversion issue — fix before pausing keyword
Zero-conversion spendBelow 1× avg CPC per conversionAbove 2× avg CPC per conversion with 0 orders → pause candidate
Keyword ACoSAt or below target ACoSAbove 2× target ACoS → Zone 3 (pause or restructure)
Negative keywords added (Broad/Auto)Reviewed weeklyNot reviewed in 30+ days → immediate leakage audit required
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Live Scorecard
Audit Progress
Updates as you complete each factor
0 / 5
F1 — Spend Share GapPending
F2 — Funnel BreakPending
F3 — Match Type LeakagePending
F4 — Zero-Conversion FilterPending
F5 — 3-Zone DecisionPending
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Common Mistakes to Avoid
Mistake 01
Diagnosing campaigns using only campaign-level ACoS — average metrics hide individual keyword problems. Always audit at keyword level using the Spend Share Gap calculation.
Mistake 02
Pausing keywords when the funnel breaks at CVR, not CTR. If clicks are arriving but not converting, the keyword is working — the listing is the problem. Fix the listing, not the keyword.
Mistake 03
Running Broad or Auto campaigns without reviewing the Search Term Report weekly. Match type leakage accumulates fast — irrelevant spend builds up silently over 2–4 weeks without review.
Mistake 04
Applying the zero-conversion rule to keywords with fewer than 15 clicks. Low-click keywords lack sufficient data — statistical noise will make any low-volume keyword look like a failure.
Mistake 05
Making bid changes and checking results within 48 hours. Amazon PPC bid changes require 3–5 days to propagate and show meaningful data. Evaluating before 14 days produces unreliable conclusions.
Mistake 06
Pausing a keyword that has a structural issue instead of restructuring. If a keyword converts when running as Exact but wastes spend as Broad — the match type is the problem, not the keyword itself.
Core Operating Principle
One bad keyword found and fixed every month is worth more than 20 bid adjustments.
The data is always in the report — the habit is what's missing.
Run this SOP monthly. The campaign that earns the most is the one that wastes the least.
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