Amazon Ranking Factors - Hidden Factors Audit - SOP020626

SOP 02062026 — Amazon Ranking Algorithm Hidden Factors

Audit Details — Appear in Your Downloaded Report

SOP 02062026

Amazon Ranking Algorithm — Hidden Factors Audit

The 7 behavioral signals A9 measures but never officially documents — and how to audit them systematically.

30–45 min

Weekly

7 Factors

Seller Central

Audit Progress

0 / 47 checks

Start with Factor 1 — Sales Velocity is the most weighted signal in A9.

Setup

Objective

This SOP audits the 7 behavioral ranking signals that Amazon's A9 algorithm weights most heavily — none of which appear in Amazon's official seller documentation. Run this audit weekly for each active ASIN to diagnose rank stagnation, catch velocity drops early, and identify the highest-leverage action to take next.

Core Principle

A9 is a purchase probability engine, not a keyword relevance engine. It ranks the product most likely to be purchased for a given search — based on live behavioral signals, not listing text. Keywords get your product discovered. Behavioral signals get it ranked.

Team Responsibilities

Role	Factors	Responsibility
PPC Manager	F1, F4	Monitor sales velocity trend; manage PPC Halo campaigns on exact match keywords
Listing Specialist	F2, F3, F7	Audit CTR elements (image, title, price); diagnose conversion rate; complete listing attributes
Account Manager	F5, F6	Run Request a Review systematically; maintain 45-day FBA inventory buffer
Team Lead	All	Weekly scorecard review; escalate any red-flag factor; set priority action for next 7 days

Pre-Audit Setup

Log in to Seller Central and confirm you have access to Business Reports, Brand Analytics, and Campaign Manager Reports → Business Reports | Brands → Brand Analytics | Advertising → Campaign Manager

Enter ASIN, Product Name, and Primary Keyword in the fields at the top of this page These will appear in your downloaded audit report

Open Business Reports → Sales and Traffic by Date — set date range to last 30 days Keep this tab open — you will return to it for F1 and F3

Open Campaign Manager → select your main Sponsored Products campaign Filter to last 30 days; download Search Term Report if needed for F2 and F4

Open FBA Inventory dashboard Inventory → FBA Inventory → note the Days of Supply figure for this ASIN

Ranking Factor Audit

Factor 1

Sales Velocity

0 / 6 checks

Pending

Reports → Business Reports → Sales and Traffic by Date → Units Ordered

Open Sales and Traffic by Date — set to last 30 days, view by week Compare Units Ordered: Week 4 vs Week 3 vs Week 2 vs Week 1

Calculate week-over-week change: ((this week − last week) ÷ last week) × 100 Note if the trend is Rising / Stable / Declining across 4 weeks

Check if velocity has been flat for more than 14 consecutive days Flat for 14+ days = investigate root cause before rank drops

If declining — identify whether decline began before or after last PPC change Timeline helps isolate root cause: listing issue vs PPC issue vs seasonality

Set a velocity recovery target: % increase needed in next 7 days Example: if down 20%, target 15% recovery by next audit

Record velocity status in scorecard: Rising / Stable / Declining Pass = Rising or Stable. Fail = Declining for 2+ consecutive weeks

Rising WoW

Healthy — A9 rewarding with rank increase

Flat 14+ days

Investigate — risk of rank erosion; review PPC and price

Declining 2+ wks

Critical — immediate action required; diagnose root cause

Factor 2

Click-Through Rate (CTR)

0 / 6 checks

Pending

Brands → Brand Analytics → Search Terms | Also: Campaign Manager → Keyword Level

Open Brand Analytics → Search Terms → filter to your primary keyword Check Click Share % for your ASIN on that keyword

Open Campaign Manager → target keyword → check CTR column (Impressions and Clicks) Calculate: CTR = Clicks ÷ Impressions × 100. Note current value.

Compare CTR to benchmark: above 0.6% healthy, 0.4–0.6% acceptable, below 0.3% critical If critical — main image or title is the primary suspect

Review main listing image: white background, product fills 85% of frame, no text overlay, high resolution Compare against top 3 organic competitors — does yours stop the scroll?

Review title: primary keyword in first 5 words, 150–200 characters, no keyword stuffing Check if your title matches the search intent of your primary keyword

If CTR is below 0.3% — schedule A/B test of main image using Manage Your Experiments Test one variable at a time: image first, then title if CTR remains low after 2 weeks

Above 0.6%

Healthy — image and title resonating with search intent

0.4% – 0.6%

Acceptable — monitor; consider image or title test

Below 0.3%

Critical — fix main image or title immediately; rank will erode

Members Only — Full SOP Access

5 More Hidden Factors + AI Prompt Library + Scorecard

Create a free SelluxPro account to unlock the complete audit: Factors 3–7, the PPC Halo Effect deep-dive, AI prompts for every factor, the live scorecard, and your downloadable report.

Factor 3: Conversion Rate / Unit Session % — diagnosis framework
Factor 4: PPC Halo Effect — how paid campaigns lift organic rank
Factor 5: Review Velocity & Recency — the freshness signal
Factor 6: Inventory Availability Score — rank protection
Factor 7: Listing Completeness Index — the tiebreaker factor
AI Prompt Library — all 7 factors, copy-paste ready, correct tool per factor
Live Scorecard + Downloadable Report

Factor 3

Conversion Rate

Members Only

Factor 4

PPC Halo Effect

Members Only

Factor 6 + AI Library

Inventory + More

Members Only

Factor 3

Conversion Rate

0 / 6 checks

Pending

Reports → Business Reports → Detail Page Sales and Traffic by ASIN → Unit Session Percentage

Open Detail Page Sales and Traffic by ASIN — locate Unit Session Percentage column Set to last 30 days. Note current Unit Session % value.

Compare to benchmark: above 15% healthy, 10–15% acceptable, below 10% critical If below 10% — listing is failing to close customers who clicked

If below 15% — audit the 5 primary conversion drivers in order: main image, price vs competitors, review count/rating, bullet clarity, A+ content presence Fix in this order — image has highest single-item impact

Check if price is within 5% of the Buy Box winner for this keyword Price delta beyond 5% significantly impacts conversion probability

Confirm star rating is above 4.0 and review count is competitive for this category Below 4.0 stars — address root cause in product quality before scaling PPC

Record Unit Session % and trend direction — note in scorecard as Pass / Fail Pass = above 10% with upward trend. Fail = below 10% or declining 2+ weeks.

Above 15%

Strong — listing closing well; A9 receives positive signal

10% – 15%

Acceptable — room to improve; audit image and price first

Below 10%

Critical — listing disappointing visitors; fix before scaling PPC

AI Shortcut

Claude

~3 min vs 15 manual Paste: Unit Session %, title, bullets, price, rating, images list

Ready-to-use prompt

I am an Amazon seller. My Unit Session Percentage is [X]%. My listing details: Title: [paste] | Bullets: [paste] | 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?

AI returns: weakest listing element identified + single priority fix action

Factor 4

PPC Halo Effect

0 / 6 checks

Pending

Advertising → Campaign Manager → Exact Match Campaigns → Keyword Level Data

Identify your top 5 priority organic target keywords — these are the keywords you want to rank for organically Check current organic rank for each using a rank tracking tool or Brand Analytics

Confirm you have Exact Match campaigns running for all 5 priority keywords Exact Match concentrates spend precisely — Broad Match dilutes the Halo signal

Check conversion rate of Exact Match campaigns for each keyword — ACoS and Orders column Halo Effect only fires when conversions occur. Zero conversions = zero Halo.

Compare organic rank this week vs 2 weeks ago for each PPC-active keyword If PPC converting and organic rank improving → Halo Effect confirmed active

If PPC spend is high but organic rank is flat — diagnose conversion issue before increasing budget High spend with no conversion = negative signal amplified at scale

Record Halo Effect status per keyword: Active / Inactive / Not Yet Measured Pass = at least 3 of 5 keywords showing organic rank improvement alongside PPC activity

Halo Active

PPC converting + organic rank improving on same keyword — maintain spend

PPC converting, rank flat

Halo building — continue for 2 more weeks; rank movement may lag

Spend, no conversions

Critical — fix listing conversion first; current spend is harming signals

AI Shortcut

Claude

~3 min vs 20 manual Paste: SP campaign data + keyword organic rank start/end of month

Ready-to-use prompt

I am an Amazon PPC manager. Below is my Sponsored Products data for the last 30 days — spend, sales, ACoS — plus my primary keyword's organic rank at start and end of month. [paste data here] Tell me: 1. Is my organic rank improving alongside PPC activity? 2. Is the PPC Halo Effect active for this product? 3. Based on this data, what is my approximate Break-Even ACoS? 4. Should I increase, maintain, or reduce PPC spend right now?

AI returns: Halo Effect status, Break-Even ACoS, and spend recommendation

Factor 5

Review Velocity & Recency

0 / 5 checks

Pending

Seller Central → Feedback Manager | Also: Product Reviews section under each ASIN

Count how many new reviews were received in the last 30 days Healthy velocity: 3+ reviews per 30 days. Below 1 per 30 days = freshness risk.

Check date of most recent review — how many days ago was it? No new review in 60+ days in an active-selling product = investigate

Verify Request a Review button is being used for every completed order Orders → Manage Orders → select completed order → Request a Review button. Safe and Amazon-approved.

Check average star rating of last 10 reviews specifically — not overall rating Declining rating in recent reviews = product quality issue requiring attention before scaling

Record velocity and recency status in scorecard Pass = 3+ reviews last 30 days, last review within 30 days. Fail = either criterion missed.

3+ / 30 days

Healthy velocity — review freshness signal strong

1–2 / 30 days

Low velocity — increase Request a Review usage immediately

0 / 30 days

Critical — freshness signal dead; A9 may de-weight this listing

AI Shortcut

Claude

~2 min vs 15 manual Paste: last 20 customer reviews with dates

Ready-to-use prompt

Below are my last 20 Amazon customer reviews with dates. [paste here] Tell me: 1. How many reviews were received in the last 30 days? 2. What is the average star rating of the last 10 reviews specifically? 3. Is there a declining trend in recent ratings? 4. What is the most common complaint theme in negative reviews?

AI returns: velocity count, recent rating average, trend direction, top complaint theme

Factor 6

Inventory Availability Score

0 / 5 checks

Pending

Inventory → FBA Inventory → Days of Supply column for this ASIN

Open FBA Inventory → note Days of Supply for this ASIN Days of Supply = current FBA units ÷ average daily sales rate (30-day)

Compare Days of Supply to zone: 60+ Safe, 45–60 Restock trigger, 30–45 Emergency, below 30 Rank Risk A9 begins suppressing listings when inventory falls critically low — rank drops within 72 hours of a stockout

If Days of Supply is below 45 — place purchase order immediately Calculate: manufacturer-to-FBA lead time (weeks) + 15-day buffer = reorder point

Confirm FBA shipment is in transit if restocking is needed — track in Shipping Queue Inventory → Shipping Queue → check shipment status and expected check-in date

Record Days of Supply value and zone status in scorecard Pass = 45+ days of supply with restock plan in place. Fail = below 45 days with no order placed.

60+ days

Safe zone — no rank risk; maintain reorder schedule

45–60 days

Restock now — place purchase order before leaving this zone

Below 30 days

Rank at risk — emergency restock; A9 suppression likely starting

AI Shortcut

Gemini

~2 min vs 10 manual Paste: FBA units available, daily sales rate, lead time

Ready-to-use prompt

Calculate inventory risk for my Amazon FBA product. Current FBA units available: [X] Daily sales rate (30-day average): [X] units per day Replenishment lead time: [X] weeks 1. How many days of supply do I have remaining? 2. Which zone am I in: safe (60+ days), restock trigger (45–60), warning (30–45), or emergency (below 30)? 3. What is the exact date I should place a purchase order to maintain a 60-day buffer from today?

AI returns: days of supply, zone classification, and exact reorder date

Factor 7

Listing Completeness Index

0 / 7 checks

Pending

Listing Completeness Score

Updates in real-time as you tick checks below

100% = full A9 completeness signal active

Inventory → Manage Inventory → Edit Listing → check all attribute fields

Title: 150–200 characters, primary keyword in first 5 words, no special characters Check character count in listing editor — Amazon shows count in real time

All 5 bullet points filled — each 200–250 bytes, keyword-relevant, benefit-led Each bullet should answer a different customer concern or use case

Product description filled — or A+ Content Module A active (Brand Registry required) A+ Content replaces description field — significantly boosts completeness score

A+ Content activated — Brand Story published (if Brand Registry enrolled) Both A+ Basic and Brand Story contribute to completeness. One without the other is a missed signal.

Backend search terms — 250 bytes, no duplicates, no commas, space-separated, starts with primary keyword Check via Manage Inventory → Edit → Keywords tab. Use all 250 bytes — do not leave blank.

All required product attributes filled: material, size, color, number of items, item weight — as applicable for this category Missing attributes reduce completeness score — check Edit Listing → Product Details tab for red fields

Main image + 6 secondary images uploaded: lifestyle, infographic, size chart, comparison, detail shots 7 images is the recommended standard — fewer reduces both completeness score and conversion rate

7 / 7 complete

Full completeness signal — maximum A9 scoring for this factor

5–6 / 7

Near complete — fix remaining items within 48 hours

Below 5 / 7

Incomplete — this factor is actively harming rank in competitive categories

AI Shortcut

ChatGPT

~5 min vs 25 manual Paste: current title, all 5 bullets, backend keywords, images list

Ready-to-use prompt

Audit and improve my Amazon listing for completeness. Title: [paste current title] Bullet Points: [paste all 5] Backend Keywords: [paste current backend keywords] Primary Keyword: [keyword] A+ Content: [active / not active] Images available: [list] Tell me: 1. What is missing or incomplete based on Amazon best practices? 2. Rewrite my title to be 150–200 characters with [keyword] in first 5 words 3. Write 250 bytes of backend keywords — no duplicates, no commas, space-separated, starting with [keyword]

AI returns: completeness gaps identified, rewritten title, and 250-byte backend keyword string

AI Prompt Library — All 7 Factors

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

F1 · Sales Velocity

F2 · CTR

F3 · Conversion

F4 · PPC Halo

F5 · Reviews

F6 · Inventory

F7 · Completeness

Factor 1 — Sales Velocity

Claude

~2 min Business Reports → Sales and Traffic by Date → last 14 days

Ready-to-use prompt

I am an Amazon seller. Below is my Sales and Traffic by Date report for the last 14 days. [paste data here] Analyze week-over-week change in Units Ordered and tell me: 1. Is my sales velocity increasing, stable, or declining? 2. What is the percentage change week over week? 3. What is the most likely root cause of any decline? 4. What is the single most important action I should take first?

AI returns: velocity trend, WoW %, root cause, priority action

Factor 2 — CTR

Gemini

~2 min Campaign Manager → Search Term Report → last 30 days

Ready-to-use prompt

Below is my Amazon Search Term Report for the last 30 days. [paste data here] For my primary keyword [keyword]: 1. Calculate CTR = Clicks divided by Impressions multiplied by 100 2. Evaluate against benchmarks: above 0.6% healthy, 0.4–0.6% average, below 0.3% critical 3. What is the single most important action I should take?

AI returns: calculated CTR, benchmark status, priority action

Factor 3 — Conversion Rate

Claude

~3 min Unit Session %, title, bullets, price, rating, images

Ready-to-use prompt

AI returns: weakest element + single priority fix

Factor 4 — PPC Halo Effect

Claude

~3 min SP campaign data + keyword organic rank start/end of month

Ready-to-use prompt

AI returns: Halo status, Break-Even ACoS, spend recommendation

Factor 5 — Review Velocity

Claude

~2 min Last 20 customer reviews with dates

Ready-to-use prompt

AI returns: velocity count, recent rating average, trend, complaint theme

Factor 6 — Inventory

Gemini

~2 min FBA units, daily sales rate, lead time

Ready-to-use prompt

AI returns: days of supply, zone, exact reorder date

Factor 7 — Listing Completeness

ChatGPT

~5 min Current title, all 5 bullets, backend keywords, images list

Ready-to-use prompt

AI returns: gaps identified, rewritten title, 250-byte backend keywords

Optimization Sequence — What to Fix First

Inventory (Survival)

Check Days of Supply first — if below 45, place restock order before touching anything else. A rank built on empty stock disappears overnight.

Sales Velocity + Conversion Rate (Growth Engine)

If velocity is declining and conversion is below 10% — fix listing first (image, price, bullets). Conversions drive velocity. Velocity drives rank.

CTR Fix (Visibility)

If CTR is below 0.3% but conversion is acceptable — problem is search presentation. A/B test main image via Manage Your Experiments. Then test title.

PPC Halo Check (Amplifier)

Once listing converts at 10%+ — scale Exact Match PPC on priority keywords. Monitor organic rank movement every 2 weeks to confirm Halo is active.

Reviews + Listing Completeness (Weekly Maintenance)

Use Request a Review for every completed order. Fix any missing listing attributes. These are weekly 20-minute habits — not one-time tasks.

Decision Matrix — Situation to Action

Situation	Most Likely Root Cause	First Action
Rank dropping despite consistent PPC spend	Conversion rate low — PPC amplifying negative signal	Pause PPC scale; audit Unit Session % and fix listing first
CTR below 0.3% on primary keyword	Main image or title not matching search intent	A/B test main image via Manage Your Experiments
PPC converting but organic rank flat	Halo building — insufficient time; or Broad Match diluting signal	Switch to Exact Match; wait 2 more weeks before reassessing
Rank dropped 10+ positions overnight	FBA inventory stockout or critical low	Check Days of Supply immediately; expedite restock if needed
Sales velocity declining for 2+ weeks	Seasonality, price gap, or competitor gained velocity	Check competitor pricing; review organic rank; adjust PPC budget
Good CTR but low conversion (below 10%)	Listing fails to close — image, price, reviews, or copy	Audit in order: price vs Buy Box, star rating, main image, bullets
Review velocity at zero for 30+ days	Request a Review not being used systematically	Enable automated review requests or manually click for all completed orders

Frequency of Review

Task	Who	Frequency
Full 7-factor audit (this SOP)	Team Lead	Weekly — every Monday
Sales Velocity check	PPC Manager	Weekly
CTR and Conversion Rate check	Listing Specialist	Weekly
PPC Halo — organic rank movement	PPC Manager	Bi-weekly
Review velocity check + Request a Review	Account Manager	Weekly — for every completed order daily
Inventory Days of Supply check	Account Manager	Weekly — escalate if below 45 days
Listing completeness check	Listing Specialist	Monthly — or after any listing edit
Scorecard review and priority action setting	Team Lead	Weekly — end of Monday audit

KPI Benchmarks Reference

KPI	Healthy	Investigate	Critical — Act Now
Sales Velocity (WoW trend)	Rising week-on-week	Flat 14+ days	Declining 2+ consecutive weeks
CTR (keyword level)	Above 0.6%	0.4% – 0.6%	Below 0.3% — fix main image/title
Unit Session % (Conversion Rate)	Above 15%	10% – 15%	Below 10% — fix listing before scaling PPC
PPC Halo Effect	Organic rank improving alongside PPC	PPC converting, rank flat (allow 2 weeks)	PPC spend with zero conversions
Review Velocity	3+ new reviews per 30 days	1–2 reviews per 30 days	Zero reviews in 30 days
Inventory Days of Supply	60+ days	45–60 days (restock now)	Below 30 days — rank suppression likely
Listing Completeness	7 / 7 items complete	5–6 / 7 items	Below 5 / 7 — fix immediately

Live Scorecard

F1 · Sales Velocity

Pending

F2 · Click-Through Rate

Pending

F3 · Conversion Rate

Pending

F4 · PPC Halo Effect

Pending

F5 · Review Velocity

Pending

F6 · Inventory Score

Pending

F7 · Listing Completeness

Pending

Overall Score

0 / 7

Common Mistakes to Avoid

Scaling PPC budget when conversion rate is below 10% — this amplifies negative conversion signals to A9 at scale and accelerates rank decline while burning spend.

Treating ranking as a one-time optimization — A9 uses rolling behavioral data windows; a listing that performed well six months ago but has declining signals today will lose rank regardless.

Assuming rank will recover automatically after a stockout — rank does not self-restore after a stockout event; it requires rebuilding velocity and conversion signals from the ground up with additional PPC spend.

Using Broad Match for Halo Effect campaigns — Broad Match distributes spend across too many search terms and dilutes the keyword-level signal A9 needs to register a Halo Effect on your target keyword.

Equating total review count with review health — A9 weights recent reviews more heavily than older ones; a product with 200 old reviews and no new reviews in 90 days can lose rank to a competitor with 80 recent ones.

Leaving product attribute fields incomplete because they are not customer-facing — missing material, size, color, and count fields reduce the Listing Completeness score and act as a tiebreaker disadvantage in competitive categories.

Amazon ranks purchase probability — not listing quality.
Optimize for what customers do, not just what they see.
Measure behavioral signals weekly. Act on data, not assumptions.

Download Your Audit Report

Generates a personalized TXT report with your ASIN, scores, completed factors, and recommended actions.