What is the Jungle Scout Keyword Scout Tool?
Keyword Scout is Jungle Scout’s all-in-one Amazon keyword research tool. It surfaces the search terms real shoppers use, reveals what competitors rank and bid on, and estimates how much those clicks will cost—so you can build listings and PPC campaigns that actually convert.
Core things you can do
Search from a seed keyword – Enter a broad term to generate thousands of related phrases backed by Amazon data and Jungle Scout’s modeling.
Reverse ASIN lookup (up to 10 at once) – See the organic and sponsored keywords driving your competitors’ sales and borrow what works.
Find “golden” long-tails – Isolate specific, lower-competition phrases with high purchase intent that are cheaper to win.
Data and insights you get
Search volume – Exact and broad match volumes to gauge traffic potential.
PPC bid estimates – Estimated CPC for exact, broad, and headline placements to set smarter starting bids.
Historical trends – Up to two years of search volume history to spot seasonality and momentum.
Relevancy and Ease-to-Rank scores – Prioritize tight product–keyword fit and understand likely difficulty.
Competitive view – Which products rank organically and which pay for sponsored spots on each term.
Integrations that streamline your workflow
Listing Builder – Import your curated keyword lists, draft or refine copy, and watch the real-time Listing Optimization Score climb as you place priority terms.
Rank Tracker – Add target keywords to monitor organic and sponsored positions over time and see whether your edits or PPC tests move the needle.
Who Should Use The Jungle Scout Keyword Scout and How It Helps
New sellers and product researchers
Validate demand fast with exact and broad search volume.
Spot “golden” long-tail keywords to launch lean and win cheaper clicks.
Reverse ASIN your page-1 competitors to borrow what already works.
Private label sellers scaling an ASIN
Prioritize title and bullet keywords with Relevancy and Ease-to-Rank scores.
Track seasonality to time promos, coupons, and inventory.
Feed curated lists into Listing Builder and monitor results in Rank Tracker.
PPC managers and growth marketers
Build exact and discovery sets with bid estimates you can trust on day one.
Find high-intent terms with lower CPC to lift ROAS.
Create and maintain negative keyword lists to stop wasted spend.
Brands and agencies managing portfolios
Standardize research across markets and products for consistent SEO and PPC.
Benchmark competitors with multi-ASIN reverse lookups and track shifts over time.
Roll insights into reporting that ties keywords to rank, traffic, and revenue.
Wholesale, arbitrage, and resellers
Map the keyword universe around proven ASINs to target winning queries.
Identify complementary long-tails and compatibility terms that convert.
Avoid low-intent traffic by filtering with Relevancy Score and CPC caps.
International expansion teams
Run seed and multi-ASIN research per marketplace to capture local phrasing.
Compare CPCs and volume by country to allocate budget where it returns.
Operators and inventory planners
Use 12-24 month trend lines to forecast demand and stock ahead of peaks.
Align inbound shipments and pricing with expected search surges.
Getting Started With Jungle Scout Keyword Scout
1) Access Keyword Scout
Log in to Jungle Scout.
Go to Keyword Optimization > Keyword Scout.
Pick the exact Amazon marketplace you sell in. Keep marketplaces separate to avoid mixed intent.
2) Perform initial research
Seed keyword search
Enter a broad term like winter gloves.
Review the returned list with search volumes and PPC bid estimates.
Reverse ASIN lookup
Collect 5–10 true competitors from page 1.
Paste their ASINs (comma separated) to see the organic and sponsored keywords they already win.
Pro tip: Include 1–2 leaders and 1–2 upstarts. You’ll capture both entrenched and breakout terms.
3) Refine your results
Search volume: set min and max broad match to balance demand vs competition.
Word count: min 3+ to focus on higher intent long-tails.
Relevancy Score: filter high (80–100) to keep the list tightly aligned to your product.
Pro tip: Save a couple of presets like Title candidates and Long-tail profits so you can reproduce this in seconds.
4) Organize and save keywords
Select promising terms and click ⊕ Add Keyword to List.
Create purpose-built lists, for example:
Main Title Keywords
Bullets and Description Long-tail
Backend Search Terms
PPC Exact Core
PPC Discovery
PPC Negatives
Pro tip: Tag each keyword with planned placement and priority.
5) Implement and track
Listing Builder: import your lists, write or refine copy, and watch the real-time Listing Optimization Score climb as you place priority terms.
PPC: export CSV to build campaigns. Use the bid estimates as your starting point, then tune to ACoS.
Rank Tracker: add your priority terms to monitor organic and sponsored positions over time and see whether edits or PPC tests move the needle.
Jungle Scout Keyword Scout Advanced Tips
Multi-ASIN Reverse Lookup
Step 1 – Pick the right competitors
Search your main product keyword on Amazon and collect page 1 ASINs that actually match your offer.
Grab 6-10 ASINs. Fewer than 4 weakens the overlap signals, more than 10 is overkill.
Prioritize ASINs with solid reviews, steady rank, and recent activity. Those reveal the keywords that move revenue, not just noise.
tip: Include 1-2 “aspirational” leaders and 1-2 scrappy upstarts. You want both entrenched terms and breakout long-tails.
Step 2 – Run the multi-ASIN query
Open Jungle Scout > Keyword Optimization > Keyword Scout.
Choose your marketplace precisely. If you sell in multiple markets, run separate searches.
Paste ASINs separated by commas. Hit Search.
tip: Keep a saved note with your core competitor sets per niche. It saves setup time on future refreshes.
Step 3 – Read the results like a strategist
Sort by Exact Match Search Volume to see the top of the category’s demand curve.
Scan overlap first – keywords that appear across many ASINs are your must-haves.
Then hunt for outliers – good volume terms that only 1-2 competitors rank for. These are your quick wins.
What I zero in on:
Relevancy Score 70+ for title-level candidates.
Mid-volume, commercial-intent terms where the current page 1 has weak images or thin reviews.
Branded and compatibility modifiers that match your offer (color, size, model-year, material).
Step 4 – Use filters to separate gold from gravel
Rank filter – Focus on keywords where multiple competitors rank high. That is where demand and money live.
Word Count – 1-2 words for titles and back end, 3-5 words for bullets and long-tails.
PPC Bid – Surface medium volume terms with lower suggested bids. Great for efficient exact-match campaigns.
tip: Save preset filters like:
“Title candidates” – Relevancy 80+, word count 1-3, volume 1,000+.
“Long-tail profits” – Volume 150-900, CPC low to medium, word count 3-6, Relevancy 60+.
“Defense terms” – Branded + competitor brand names to monitor and negative strategically.
Step 5 – Curate, tag, export
Add selected keywords to a Keyword List as you go. Tag by intent: discovery, branded, competitor, seasonal.
Export CSV for your working sheet. I keep columns like: keyword, exact volume, broad volume, Relevancy Score, est CPC, word count, competitors ranked, notes.
tip: Add a “placement” column with where you plan to use each term – title, bullet 1, bullet 2, A+ module, back end, exact campaign, phrase campaign.
Step 6 – Put keywords to work immediately
Listing Builder – Import your curated list and draft an SEO-first title and bullets. Indexing before bidding saves budget.
Rank Tracker – Add your priority set (20-40 terms) and a supporting set (50-100 terms). Watch organic vs sponsored rank gaps.
PPC – Launch exact match for your top 10-20 terms, phrase/broad for discovery, negatives for obvious mismatches.
Filter for Golden Long-Tail Keywords
Step 1 – Build a smart starting pool
Seed keywords: Plug in a broad head term like “winter gloves” or “garlic press” to map the category’s language.
Multi-ASIN reverse lookup: Drop in 6-10 page 1 competitor ASINs. This pulls the real money terms they already rank for, both organic and sponsored.
tip: Keep separate pools per marketplace. US, CA, UK behave differently and you do not want mixed intent.
Step 2 – Apply filters that actually isolate winners
These settings consistently surface high-intent, lower-competition phrases.
Broad match search volume:
Max: 2,000 to 5,000
Why: Cuts out head terms while keeping enough demand to matter.
Word count:
Min: 3 or 4
Why: Longer phrases map to clearer buying intent and cheaper clicks.
Relevancy score:
Min: 80 to 100 for title-level candidates, 65 to 80 for bullet or backend terms
Why: Keeps you tied to what your product actually is, not adjacent noise.
PPC bid (est CPC):
Max: set near your break-even ACoS threshold. If you are unsure, start with the lower third of CPCs in your niche.
Why: You want affordable traffic that still converts.
Optional refiners:
Include keywords: add intent modifiers like “for”, “with”, “best”, “heavy duty”, “gift”, “replacement”, specific sizes or materials.
Exclude keywords: remove obvious mismatches, competitor brands you will not bid on, or variants you do not sell.
tip: Save 2 presets
Title candidates: Volume max 5,000, word count min 2-3, relevancy 85+, CPC low to medium.
Long-tail profits: Volume 150-1,500, word count min 3-5, relevancy 70+, CPC low, include intent words.
Step 3 – Read the filtered list like a buyer, not an analyst
Buyer intent check: Favor phrases that imply specificity or context of use, e.g., “blue winter gloves for women small”, “garlic press with scraper”, “heavy duty silicone spatula set”.
SERP quality scan: Open a few terms. If page 1 is full of weak images, thin reviews, or mismatched products, you can win faster.
Overlap vs opportunity:
Overlap terms that multiple competitors use should go into your title or top bullets.
Unique terms with good volume but little competition are perfect for bullets, backend, and exact-match PPC.
Step 4 – Export, tag, deploy
Export CSV and add working columns: placement (title, bullet, backend, PPC exact, PPC phrase), notes, priority.
Listing Builder: Draft your title and bullets with your top long-tails. Index first. Pay later.
Rank Tracker: Add 20-40 priority long-tails plus 50-100 supporting. Watch organic vs sponsored gaps weekly.
PPC:
Launch exact for the top 10-20 long-tails.
Use phrase/broad for discovery.
Add negatives for obvious mismatches.
Analyze Historical Performance
Step 1 – Run a keyword or ASIN search
I usually start with either:
Seed keyword – Type in a head term like “winter gloves” to map the category.
Multi-ASIN lookup – Paste in 5–10 competitors’ ASINs to see their keyword universe.
This gives me the full list of related terms, both high-traffic and long-tail.
Step 2 – Open the search volume chart
In the results table, click on a keyword that looks promising. Keyword Scout expands a chart that shows monthly search volume over 1 month, 6 months, 1 year, or 2 years (depending on your plan).
What I like about the chart: The inverted Y-axis makes it intuitive—downward lines mean better rank, but with search volume trends it’s about spotting the “spikes.”
Step 3 – Read the trend like a seller, not just a graph
Seasonality: If I see “gardening tools” spiking every March–May, I know to bulk inventory in February and ramp PPC just before the lift.
Long-term momentum: A 2-year upward slope on a term like “compost bins” tells me the niche is growing, even if monthly volume isn’t massive yet.
Declining demand: If “plastic straws” is sliding quarter over quarter, I’d deprioritize it in my listing and ads.
tip: I add annotations when I make changes (price drops, coupon, listing edit). Later, I can see if those actions matched traffic surges.
Step 4 – Apply insights directly
Inventory planning: If I know demand peaks every November, I ship to FBA in September, not October.
Product launches: I avoid launching a seasonal product in the off-season—better to time a “weighted blanket” launch in September than in May.
PPC: I bid up in high-demand months and pull back when interest dips. This keeps my ACoS healthy without overpaying in quiet months.
Keyword strategy: If a term has been sliding for 12 months straight, I don’t build my title around it—I pivot to steadier or rising keywords.
Step 5 – Pair with Rank Tracker for deeper context
Keyword Scout shows me search demand. Rank Tracker shows me how my ASIN responds.
Add your golden keywords to Rank Tracker.
Watch your organic and sponsored rank history against those seasonal demand curves.
Track competitors to see if their rank rises/falls at the same times. That tells you if it’s seasonal demand or just their campaign.
How to Create Targeted Keyword Lists
1) Do the research the right way
Seed search – Enter a broad head term to map the category language.
Multi-ASIN reverse lookup – Paste 6-10 page 1 competitor ASINs to pull what already converts (organic + sponsored).
Keep marketplaces separate – US/CA/UK behave differently. Don’t mix.
Goal: One big master pool per ASIN per marketplace.
2) Segment with filters (by purpose)
Use presets so you can reproduce this in seconds.
Title candidates
Search volume: high (exact or broad cap off the true head term, e.g., 3,000-20,000 depending on niche)
Word count: 2-3
Relevancy score: 85-100
Include: core product nouns/modifiers (material, size, use-case)
Exclude: competitor brands you won’t reference
Bullets & description (feature/benefit long-tails)
Search volume: medium (e.g., 300-5,000)
Word count: 3-6
Relevancy score: 70-100
Include: intent/qualifiers like “for”, “with”, “heavy duty”, “set”, size/color/material, use-cases
Optional: CPC max to keep bids sane if you’ll test these in PPC
Backend search terms (indexing boosts)
Relevancy score: 60-100 (still genuinely relevant)
Word count: mixed (2-6), include synonyms, regional spellings, common misspellings
Exclude: anything already in title/bullets to avoid duplication
Include: compatibility, alternative names, plural/singular forms
PPC – long-tail profits (budget-friendly discovery)
Search volume: 150-1,500
Word count: 3-6
Relevancy: 70-100
PPC bid (est CPC): low to medium
Intent words: “for”, “with”, “replacement”, size/material, “gift”
PPC – aggressive/top-of-search (category terms)
Search volume: high (head/mid-head)
Relevancy: 85-100
Bid: allow higher est CPC
Use for exact match SKAGs on your money terms
Negative keywordsÂ
Pull from: Keyword Scout filters + your PPC search term report
Exclude: off-niche uses, wrong materials/sizes, competitor brands you choose not to target, “cheap/free/diy” terms if misaligned
3) Save to clean, purpose-built lists
Check keywords → “⊕ Add Keyword to List” → Create a new list.
Use specific names you’ll recognize at a glance:
ASIN-UK - Main TitleASIN-US - Bullets Long-tailASIN-US - Backend SynonymsASIN-US - PPC Exact CoreASIN-US - PPC DiscoveryASIN-US - PPC Negatives
Tip: Add tags/notes while curating (placement, priority, seasonality).
4) Put the lists to work
Listing Builder – Import
Main Title,Bullets Long-tail,Backend Synonyms. Write copy to hit index first, then finesse.Rank Tracker – Import
PPC Exact Core+ top long-tails to monitor organic vs sponsored rank weekly.PPC build
Exact SKAGs →
PPC Exact CoretermsPhrase/Broad discovery →
PPC DiscoveryAccount-level negatives →
PPC Negatives
Guardrails
Index before bidding – if it’s not in the listing/back end, fix that first.
One lever per week – change listing or bids or price, not all three.
Title real estate is precious – 1-2 highest-impact terms only; push the rest to bullets.
Refresh quarterly – redo multi-ASIN, update lists, and retire declining terms.
Advanced PPC Strategy with Keyword Scout
1) Reverse engineer competitors (start where the money already flows)
Run reverse ASIN (single + multi-ASIN): Pull 5-10 page 1 rivals. Sort by exact volume and sponsored prominence.
Target profitable terms: If a competitor sits top-3 sponsored for months, that keyword is paying their bills. Steal it with tight exact-match and a strong listing.
Find gaps: Filter for relevant, mid-volume terms where big rivals barely show up. Those are your cheap wins.
Shortlist: Build a “Core Targets” list (10-20 must-have revenue terms) and an “Opportunities” list (30-60 poised-to-win long-tails).
tip: Pair Keyword Scout’s findings with a quick SERP check. Weak images, mismatched products, or thin reviews on page 1 = you can win with less bid.
2) Isolate high-intent, low-cost keywords (where ROAS lives)
Filters that work:
Broad match volume max: 2,000-5,000
Word count min: 3-4
Relevancy score: 80+ for title-level, 65-80 for bullets/back end
PPC bid (est CPC) max: in the lower third for your niche
Intent modifiers to include: best, for, with, heavy duty, replacement, size/material, gift.
Trim the fat: Exclude competitor brands you won’t bid on and variants you don’t sell.
tip: Save two presets – “Title candidates” and “Long-tail profits” – so you can reproduce this in seconds.
3) Build campaigns that compound (the profitability flywheel)
Mine auto first: Let Amazon surface real customer queries. Pull the search term report, then run winners through Keyword Scout for bid guidance.
Manual structure:
Exact SKAGs (single keyword ad groups): 1 keyword, 1 match type, tight bid control. Use for the top 10-20 money terms.
Phrase/Broad discovery: Cluster by theme (use-case, material, size). Feed winners into exact; negate losers.
Negatives (non-negotiable): From Keyword Scout filters + your search term report. Add as phrase/exact negatives to stop bleed.
Bid logic I use:
Exact – bid to top-of-search eligibility first, then walk down to your target ACoS.
Phrase/Broad – start conservative, let converting queries bubble up, promote to exact weekly.
4) Weaponize competitor ad activity (offense and defense)
Track sponsored rank history: In Rank Tracker, follow competitor ASINs on your core keywords.
Exploit drops: When a rival’s sponsored rank slides, raise your bid and capture their lost placement.
Don’t take the bait: If a competitor overspends on a broad, low-intent term, skip the arms race. Fund a cluster of 5-10 long-tails instead and win on blended ROAS.
Defend your moat: If you’re organically top 5, keep a light exact campaign for the same term to block rivals from leapfrogging you with ads.
5) Tight feedback loop (data-driven tweaks that stick)
Weekly rhythm:
Promote converting queries from discovery to exact.
Lower bids or negative out terms with clicks but no carts.
Refresh long-tail research with your presets to find the next batch of cheap conversions.
Annotations matter: When you change title, main image, price, or coupon, annotate. Later, match performance jumps to actions with Rank Tracker.
Guardrails
Index before you bid: If a term isn’t in your listing, fix that first. Paying for clicks you can’t rank for long term is a money pit.
One lever at a time: Change bids or creatives or price, not all three. Measure for a full week.
Trend over snapshot: Sustained sponsored visibility + rising organic rank beats a one-day spike every time.
Portfolio view: Track top 10 and top 50 coverage across products. Shift budget toward ASINs that can convert now.
KPI cheatsheet
Discovery promo rate: % of discovery terms promoted to exact each week (aim for steady flow).
Wasted spend: Clicks with zero add-to-carts – push these into negatives fast.
Exact win rate: % of exact-match terms hitting top-of-search impressions.
Organic lift: For exact-match winners, watch organic positions climb in Rank Tracker.
Integration with Other Jungle Scout Tools
Keyword Scout → Listing Builder → Rank Tracker → back to Keyword Scout, with Product Database, Opportunity Finder, and Profit Calculator feeding decisions. One change at a time, measured, then scaled.
1) Listing Builder for instant optimization
Import lists from Keyword Scout. Your Keyword Bank becomes the single source of truth.
Write inside Listing Builder. Watch the Listing Optimization Score (LOS) climb as you place priority terms in title, bullets, description, and backend.
Use AI Assist (Pro). I use it for a fast first draft, then tighten phrasing and keyword placement manually.
Sync to Seller Central. Push updates directly and annotate the date in your SOP.
Notes:
Title gets 1-2 high-impact keywords max. Don’t cram. Push the rest to bullets and backend.
Keep variant-specific long-tails in the variant’s copy, not the parent.
2) Rank Tracker for long-term performance
Add your priority set (20-40) plus supporting long-tails (50-100).
Watch organic vs sponsored rank and top 10 coverage weekly.
Use annotations. Mark listing edits, price moves, coupons, stockouts, and PPC changes to tie cause to effect.
Track 3-5 competitor ASINs per product. Their rank history exposes when they push or pull back.
Notes:
A sponsored rank that rises first, then an organic climb 1-3 weeks later. That is the flywheel working.
Sudden drops across many keywords. Usually price, inventory, or a competitor promo.
3) Product Database to pressure test ideas
Find products with steady sales and weak listings.
Run reverse ASIN in Keyword Scout on those ASINs to see keyword gaps.
If the niche has demand and the leaders leave SEO on the table, you can win with better copy and images.
Notes:
Page 1 quality: images, reviews, price spread, badges.
Keyword depth: enough mid-volume long-tails to sustain PPC and organic wins.
4) Opportunity Finder to expand the map
Start with Opportunity Finder to surface high-demand, low-competition niches.
Validate with Keyword Scout: confirm search volume, relevancy, and workable PPC bids on the top keywords.
If the Niche Score is strong and the keyword set passes CPC sanity checks, queue the concept for prototyping or sourcing.
Notes:
Title candidates: relevancy 85-100, word count 2-3, volume high, CPC low-medium.
Long-tail profits: volume 150-1,500, word count 3-6, relevancy 70+, CPC low.
5) Profit Calculator to confirm margins
Use the Chrome Extension’s FBA Profit Calculator on top products and your target price.
Cross-check with Keyword Scout’s bid estimates. If CPC at target ACoS kills margin, pivot to cheaper long-tails or adjust offer (bundle, size, pack count).
Recalculate after any packaging or price change.
Notes:
If exact-match CPC + expected conversion cannot produce target ACoS with a 10-15% buffer, do not scale that keyword.
The Workflow
Research: Multi-ASIN + seed terms in Keyword Scout. Curate lists by placement and intent.
Optimize: Import to Listing Builder. Raise LOS. Publish. Annotate.
Monitor: Track in Rank Tracker. Watch organic vs sponsored, top 10 coverage, and competitor moves.
Iterate: When you see opportunity or erosion, return to Keyword Scout for new terms or to trim losers.
Validate profit: Recheck CPCs and margins with Profit Calculator before scaling PPC.
KPIs I track every week
Top 10 coverage: count of keywords in positions 1-10 per ASIN.
Organic lift on exact targets: % of exact-match PPC terms that improved organic rank.
Wasted spend: clicks with zero add-to-carts. Convert to negatives fast.
Profit after ad spend: unit margin minus blended ad cost. If it shrinks week over week, investigate bids, price, or conversion assets.
Active Jungle Scout Discounts and Coupons
Our updated list of Jungle Scout deals and promo codes now offers up to 56% off. No need to copy and paste the Jungle Scout coupon code — just click my link for a discount code while the offer lasts. Plus, you can try Jungle Scout risk-free thanks to its 7-day money-back guarantee.
UP TO 56% OFF
Use Jungle Scout discount coupon: PROJECTFBA and Get up to 56% OFF
Jungle Scout Keyword Scout FAQ
What it is: An Amazon keyword research tool that surfaces high-converting terms for listings and PPC. It leverages Amazon advertising data to show what shoppers actually search for.
What it does
- Generate keyword lists from seed terms.
- Reverse-search up to 10 competitor ASINs to see which keywords drive their sales.
- Show essential metrics: exact/broad search volume, historical trends, PPC bid estimates, and a Relevancy Score.
- Filter deeply to isolate “golden” long-tail keywords (high intent, lower competition).
- Integrate smoothly with Listing Builder (optimize fast) and Rank Tracker (monitor performance over time).
Who it’s for
- New sellers – validate niches and borrow proven keywords from top listings.
- Experienced sellers – refine PPC, uncover gaps, and defend market share.
- Brands/agencies – roll-up competitive intelligence across products.
Why it’s useful
- Increase visibility with relevant, high-traffic terms.
- Improve conversion by targeting buyer-intent searches.
- Boost SEO and PPC efficiency with data-backed targeting.
- Cut wasted spend by focusing on profitable, lower-cost keywords.
- Understand competitor strategy to find weaknesses and opportunities.
Method 1: Seed keyword searchÂ
Enter a primary, short-tail term (e.g., winter gloves).
Review the broad list Keyword Scout returns (it goes beyond Amazon’s typeahead).
Apply smart filters to surface golden long-tails:
Search volume max: 2,000-5,000 to trim head terms
Word count min: 3+ to capture higher intent
Relevancy score: high threshold to keep tight product fit
Save winners to a new list for title, bullets, backend, and PPC testing.
Note: Keep separate lists per marketplace. Mixing US/CA/UK muddies intent and bids.
Method 2: Reverse ASIN lookupÂ
Identify 5-10 true competitors from page 1 with strong relevance and reviews.
Copy their ASINs (from URL or Product details).
Run a multi-ASIN search in Keyword Scout.
Compare results:
Common keywords = high-traffic, must-have terms
Underused keywords = niche, easier wins
Sponsored-heavy terms = proven PPC money makers
Save promising terms to dedicated lists (Core, Long-tail, PPC, Negatives).
Note: Include 1-2 market leaders and 1-2 upstarts to capture both entrenched and breakout terms.
Extra ways to sharpen your list
Check historical trends: Separate evergreen from seasonal to time inventory and promos.
Filter for intent: Include words like best, for, with, gift, heavy duty, size/material.
Integrate the loop:
Import lists to Listing Builder to index fast and raise your LOS.
Add priority terms to Rank Tracker to watch organic vs sponsored rank over time.
Search volumeÂ
Exact match search volume – Last month’s searches for the exact phrase.
How I use it: title-level and exact-match PPC candidates.Broad match search volume – Last month’s searches for related terms and variations.
How I use it: scope of the niche and phrase/broad discovery.Historical search volume (up to 2 years) – Month-by-month trendline.
How I use it: seasonality planning, launch timing, and budgeting.Monthly and quarterly trends – Short vs long-term momentum.
How I use it: prioritize rising terms, de-emphasize decliners.
Competitive analysis
Organic rank – Where competitors naturally rank for the keyword.
How I use it: identify must-win terms and content gaps.Sponsored rank – Where competitors pay to appear.
How I use it: spot profitable PPC battlegrounds and overspend opportunities.Competitor ASINs (multi-ASIN reverse search, up to 10) – Compare keyword sets across rivals.
How I use it: find overlap must-haves and underused long-tails.
Ranking and optimization
Relevancy Score (0-100) – How closely a keyword matches your seed or ASIN.
How I use it: keep title/bullet candidates tightly aligned.Ease-to-Rank Score – Estimated difficulty to reach strong organic positions.
How I use it: quick-win targeting and roadmapping.Giveaway estimates – Rough units needed to hit top 3.
How I use it: sanity check for promo requirements on aggressive terms.
PPC data
PPC bid estimates (exact, broad, headline) – Estimated CPC by match/ad type.
How I use it: set starting bids, model ACoS, choose exact vs discovery mix.Headline search ad bids (Sponsored Brands) – Specific guidance for brand campaigns.
How I use it: plan brand defense and headline tests without guesswork.
Workflow Tips
Keyword list creation – Save and segment by placement (Title, Bullets, Backend, PPC Exact, Discovery, Negatives).
How I use it: one-click import to Listing Builder and Rank Tracker.Category identification – Most relevant categories for the keyword.
How I use it: confirm browse-node alignment and reduce indexing mismatches.
Keyword Scout gives you the demand signals and competitor intel to write copy that ranks, gets clicks, and converts. I use it to decide what terms deserve title real estate, what belongs in bullets, and what should live in backend search terms.
How Keyword Scout supports listing optimization
- Uncover high-volume, relevant keywords
- Search volume: Exact and broad volume show what shoppers actually type. I prioritize a few high-volume, high-intent terms for the title.
- Relevancy Score: I filter high to keep the list tightly matched to the product. This reduces wasted traffic.
- Golden long-tails: With filters for volume max and word count min, I surface 3+ word phrases that are cheaper to rank and convert well.
- Do fast competitive analysis
- Reverse ASIN lookup: I pull 5-10 competitor ASINs to see the organic and sponsored terms that already drive sales.
- Benchmarking: Any must-have keyword they rank for that I am missing goes straight into my listing plan or PPC tests.
- Fuel Listing Builder with real data
- Integrated workflow: I import refined keyword lists into Listing Builder so the Keyword Bank guides copy.
- Real-time LOS: As I place terms in the title, bullets, and description, the Listing Optimization Score tells me what I missed.
- AI Assist: Handy for a first draft. I always tighten phrasing and placement manually.
- Optimize backend search terms
- I park synonyms, regional spellings, misspellings, and long-tails that do not fit naturally in visible copy here to secure indexing without cluttering the listing.
How to implement Keyword Scout data in the listing
- Product title: Lead with 1-2 highest-impact keywords plus a core differentiator. Keep it readable.
- Bullet points: Map features to benefits and weave in mid-volume and long-tail terms. I avoid stuffing.
- Description/A+ content: Expand use cases and secondary phrases naturally to support conversion.
- Backend search terms: Add remaining relevant variants you could not place up front. Do not repeat what is already in the title or bullets.
Notes
- Prioritize trend over snapshot. If volume is rising and competitors are leaning in, give that term better placement.
- Do not cram the title. Over-optimized titles hurt CTR. Use bullets to carry extra keywords.
- Index before ads. If a term is not in copy or backend, fix that before bidding on it.
- Annotate changes. When you update copy, note the date and watch rank and conversion in Rank Tracker.
Keyword Scout combines Amazon-sourced signals with Jungle Scout’s own modeling to turn raw inputs into actionable keyword intel.
Where the data comes from
Amazon Advertising API access – Pulls ad-side signals to estimate PPC bid costs, search volume, and Sponsored Products performance.
Reverse ASIN lookups – Analyzes keywords competitors rank for (organic and sponsored) by querying Amazon around specific ASINs.
Historical trend tracking – Stores and models up to 2 years of search behavior to surface seasonality and long-term shifts.
Proprietary algorithms – Machine-learning models refine raw inputs into metrics like estimated search volume and Relevancy Score.
Purchase-path insights – Highlights keywords shoppers used before buying (even if they purchased a different product), revealing broader intent patterns.
Why this helps sellers
More accurate targeting – You focus on terms that real shoppers search and click.
Smarter bidding – Bid estimates grounded in ad-side data help control ACoS.
Seasonal timing – Trend lines tell you when to launch, stock up, and scale ads.
Competitive clarity – Reverse ASIN shows what’s working for rivals and what they’re missing.
Reliable enough to guide decisions, but still estimates. No third-party tool has Amazon’s exact internal numbers, yet Keyword Scout’s mix of ad-side signals and mature modeling gives it a strong edge.
Why I trust it for directional calls
Direct-from-Amazon inputs: Keyword Scout taps the Amazon Advertising API for search and bid signals, which anchors its estimates in real marketplace behavior.
Proven accuracy vs benchmarks: In 2024, a comparison found Keyword Scout’s search volume averaged 10.93 percent different from Amazon’s Search Query Performance data, beating a leading competitor by a noticeable margin.
Mature models: Jungle Scout has years of training data, and their iterative case studies keep tightening the error bars.
Lower sales estimate error: In sales-focused tests, Jungle Scout has tended to show a smaller margin of error than some rivals.
What to keep in mind
Estimates, not facts: Promotions, stockouts, and viral spikes can skew any snapshot.
Category variance: Some categories model cleaner than others. Look at patterns over time, not a single month.
Brand Analytics beats everyone: If you are brand-registered, Amazon’s Brand Analytics and Product Opportunity Explorer will be the most authoritative view for ranking order and query share.
Human judgment matters: Treat Keyword Scout as a decision assist. Validate with page 1 quality checks, your margin math, and real conversion data before you scale.
What it is: A 0-100 score that estimates how closely a keyword matches your seed term or target ASIN. Higher score = closer fit to your exact product and shopper intent.
How it’s derived (at a high level):
Keyword Scout maps top sellers in your category, expands to related customer searches, then uses Jungle Scout’s proprietary modeling to filter noise and score fit.
It can surface synonyms and function-phrases that don’t literally include your seed term but reliably lead to your product.
How I use it in practice:
90-100 – Title material and exact-match PPC. These are your core identity terms.
80-89 – Top bullets and exact/phrase campaigns. High intent, still tightly aligned.
65-79 – Supporting bullets, description, backend search terms, discovery PPC.
<65 – Usually skip or park in backend if genuinely relevant but niche.
Why it matters:
Keeps copy focused on terms that convert, not just traffic magnets.
Prevents keyword stuffing that hurts readability and confuses the algorithm.
Shortens the path from PPC clicks to organic lift because you’re bidding on terms your listing actually represents.
NOTES:
Treat Relevancy as directional, not gospel. Always sanity-check page 1: images, use-cases, materials, price points.
Pair score with volume and CPC. A 92 score with brutal CPC may live in your title but not your ad plan; a 78 score with cheap CPC can be a PPC workhorse.
Re-run after major listing changes or new competitors. Scores that shift can hint at evolving shopper language in your niche.
It gives you shopper intent, competitor context, and bid guidance in one place—so you can target tighter, waste less, and scale what works.
1) Find keywords that actually convert
High relevance: Use Relevancy Score to focus on terms that match your product and audience.
Low competition wins: Filter for long-tail phrases with lower CPCs and solid intent.
Competitor intel: Reverse ASIN shows the organic and sponsored terms your rivals already make money on, plus gaps you can fill.
2) Set smarter bids from day one
CPC estimates: Get starting bids for exact, phrase/broad, and headline (Sponsored Brands).
Opportunity surfacing: Sort for high-volume terms with relatively low estimated bids to improve ROAS without overpaying.
3) Build campaigns that are easy to manage
Exact match precision: Put your highest-relevance, highest-value keywords in single-keyword exact campaigns to win consistent top-of-search and lift organic rank over time.
Discovery that pays: Use phrase and broad around themes (use-case, material, size). Promote winners to exact, park the rest.
Negatives that save budget: Use low-relevance terms and your search term reports to add negatives and stop bleed quickly.
4) Time spend with seasonality
Historical volume: Spot peak months and dial bids/budgets up before the surge, then cool them off in the off-season.
Evergreen vs seasonal: Keep evergreen exact campaigns steady; run short, heavier pushes for seasonal clusters.
5) Plug it into your workflow
Research: Seed keyword + multi-ASIN to build your pool.
Filter and segment: Create lists for exact core, discovery, and negatives.
Launch and measure: Import to ads, then track results in Advertising Analytics and Sales Analytics.
Iterate: Feed converting queries back into Keyword Scout, refresh long-tails, and adjust bids based on real ACoS and conversion.
Listing Builder + AI Assist
Workflow: Save your researched keywords in Keyword Scout, then import the list into Listing Builder’s Keyword Bank to draft or optimize copy.
AI Assist: On eligible plans, auto-generate a keyword-rich first draft, then fine tune.
Result: See a real-time Listing Optimization Score as you place priority terms in title, bullets, description, and backend.
Rank Tracker
Workflow: Push your high-priority keywords from Keyword Scout into Rank Tracker to monitor organic and sponsored positions over time.
What you get: Historical rank graphs, annotations for listing or PPC changes, and side-by-side competitor tracking to spot strategy shifts.
Product Database
Workflow: Use Product Database to surface product ideas, then validate them in Keyword Scout by checking search volume, relevancy, and competition for the niche’s keywords.
Opportunity Finder
Workflow: Find high-demand, low-competition niches with Opportunity Finder’s Niche Score, then drill down in Keyword Scout to confirm strong, targetable keywords before you commit.
Advertising Analytics
Workflow: Build PPC campaigns from Keyword Scout lists and bid estimates, then measure real performance in Advertising Analytics.
What you get: ROAS and ACoS visibility you can compare against Keyword Scout’s volume and CPC signals to tighten bids and cut waste.
