Amazon Keyword Research for PPC: Find High-Converting Keywords And Negative Keywords to Reduce ACoS

Spending more on Amazon ads but watching conversions stall is one of the most frustrating realities for sellers. The issue usually isn’t your product—it’s the keywords you’re bidding on and how well they match real shopper intent. Effective Amazon keyword research for PPC is what separates listings that quietly drain ad spend from campaigns that drive steady, profitable sales.

You’ll see how to uncover high-intent keywords, organize them into efficient campaigns, align them with product pages, and connect Amazon PPC insights with tools like Keywordly to support SEO and AI search. Expect to put in some focused work upfront, but the reward is a scalable keyword strategy that reduces ACOS and improves performance across Amazon, Google, and AI-driven platforms.

On Amazon, winning PPC isn’t about bidding higher—it’s about targeting smarter, and the brands that treat keyword research like a revenue engine, not a routine task, are the ones cashing in. With platforms like Keywordly turning raw search data into precise, conversion-ready insights, your keywords stop being guesses and start becoming a predictable source of sales growth.

Reference:
How to Start and Improve your Keyword Strategy

1. Understand the Basics of Amazon PPC Keyword Research

Role of Amazon PPC and Keywords

Amazon PPC is a pay-per-click system where you bid on keywords so your Sponsored Products, Brands, and Display ads appear in shopping results and on product pages. When a shopper searches “wireless earbuds,” Amazon runs an auction and shows ads from sellers bidding on that term.

Keywords are the bridge between search intent and your listings. Targeting “noise cancelling headphones” for a Sony WH-1000XM4 listing connects your ad to buyers ready to compare and purchase, driving visibility, high-intent clicks, and conversions while keeping wasted spend in check.

Amazon PPC Keyword Research vs Traditional SEO

Unlike Google SEO, where queries like “how to clean white sneakers” dominate, Amazon searches lean heavily commercial: “white Nike Air Force 1 size 10.” Success is measured by ACOS, ROAS, and conversion rate, not just impressions or rankings.

This purchase-focused environment rewards rapid testing. With Amazon’s Search Term and Placement reports, you can see converting phrases within days, then use Keywordly to compare performance data against Google Search Console and AI search trends to refine your high-ROI keyword set.

Match Types and Their Impact

Amazon offers broad, phrase, and exact match. A broad match bid on “coffee grinder” can trigger for “electric burr grinder for espresso,” expanding reach but often catching low-intent or irrelevant searches that inflate ACOS.

Phrase and exact match provide tighter control. For a Baratza Encore listing, exact match on “burr coffee grinder” delivers predictable conversion, while phrase match on “manual coffee grinder” captures long-tails. Keywordly helps categorize and tag these terms so you can systematically test and graduate winners from broad to exact.

How Keywordly Fits Into a Holistic Keyword Strategy

A scalable Amazon PPC strategy can’t live in a silo. Keywordly lets you centralize keyword research from Amazon, Google, and AI-driven platforms like ChatGPT so product-led terms such as “BPA free water bottle 32 oz” are consistently leveraged across ads, product pages, and supporting content.

You can store master keyword clusters by ASIN, compare Amazon conversion data with Google CTR trends, and reuse winning phrases in listing copy, ad campaigns, and blog content. Keywordly becomes the hub where your Amazon PPC keywords are discovered, validated, organized, and continuously optimized across every channel.

2. Define Your PPC Goals Before Starting Amazon Keyword Research

Align Keyword Research With Campaign Goals

Effective Amazon keyword research starts with deciding whether you’re launching, scaling, or optimizing for profit. A launch campaign for a new collagen powder, for example, might chase visibility with broader terms like “collagen supplement,” while a profitability phase focuses on long‑tail, lower-ACOS phrases like “grass-fed collagen peptides for women.”

Each goal demands different match types and bids. Launch campaigns can afford higher bids on broad and phrase match to collect data, while scale and profit phases lean on exact match, tighter budgets, and negative keywords to protect margin. As Amazon’s own guidance on enhancing product visibility with keyword research notes, relevance and precision become increasingly important as you refine campaigns.

Map Keywords to the Buyer Journey

Your PPC structure should mirror the way shoppers move from browsing to buying on Amazon. Awareness-stage searches look like “best gifts for runners” or “how to organize pantry,” while consideration searches shift to “Nike running belt vs SPIbelt,” and purchase intent becomes “SPIbelt running belt black small.”

High-intent, bottom-funnel terms usually deserve your strongest bids because they convert at higher rates, especially in competitive categories like home & kitchen. Broader discovery terms still matter, but you cap bids and budgets to manage ACOS while feeding your remarketing and branded campaigns.

Set Realistic PPC KPIs

Before you build ad groups, translate your margins into numbers. If your insulated water bottle sells for $29.99 with a 35% margin, you might set a target ACOS of 25–30% and a ROAS of 3–4x. Highly competitive, generic keywords will naturally deliver lower ROAS and higher ACOS than long‑tail, product-specific phrases.

Use early data—CTR, conversion rate, and ACOS from the first 7–14 days—to reset expectations. If a keyword has strong CTR (0.5–1%+ in many categories) but weak conversions, you either need tighter relevance, better listing optimization, or a lower bid.

Use Keywordly to Centralize Goals and Plans

Keywordly lets you create product-line projects—for example, a “Home Office” project for standing desks, desk pads, and monitor arms—where you document PPC goals, ACOS targets, and budgets alongside your Amazon keyword sets. You can attach keyword plans, briefs, and targeting notes for each ASIN so your content, listing copy, and ads all pull from the same keyword source.

Agencies and internal teams gain a single source of truth: everyone sees the same priority keywords, match-type strategy, and KPI targets when planning ads and content for Amazon and search engines. That alignment makes it easier to reuse winning Amazon terms in blog content, product guides, and ChatGPT-optimized briefs, so your research in Keywordly drives both PPC performance and organic visibility across channels.

3. How to Find Keywords for Amazon PPC: Core Research Methods

Leverage Amazon On-Site Discovery Features

Amazon itself is your richest source of PPC keyword ideas because every query reflects live buyer intent. Start by typing seed phrases into the search bar and capture auto-suggest options such as “collagen powder unflavored,” “collagen powder for women,” or “collagen powder keto.”

For a brand selling a “Sports Research Collagen Peptides” competitor, these suggestions instantly reveal gender, diet, and flavor modifiers you can target with phrase and exact match in PPC campaigns.

Then, browse category and related product pages to uncover adjacent themes. On a yoga mat listing, you might repeatedly see attributes like “non-slip,” “6mm thick,” or “for hot yoga.”

Scan “Customers also bought” and “Frequently bought together” modules to find complementary items such as yoga blocks or straps, which surface new cross-sell keywords like “yoga mat and block set.”

Bring all of these phrases into Keywordly, where you can tag them by modifier type (use case, material, audience) and quickly see which themes deserve dedicated ad groups.

Mine Competitor Listings and Reviews

Top-ranking competitors have already done a lot of keyword testing, so their listings are a blueprint for your PPC strategy. Reverse-engineer titles and bullets from leaders like OXO, Hydro Flask, or Anker to spot both core and long-tail phrases.

For instance, a Hydro Flask bottle page may emphasize “BPA-free,” “leakproof,” and “wide mouth straw lid,” pointing to intent-rich search terms you can mirror in ads and product copy.

Customer reviews and Q&A often use more natural language than listings. On a robot vacuum listing (e.g., iRobot Roomba 692), buyers might say “works on dog hair” or “good for high-pile carpet.”

Those exact phrases are perfect for broad and phrase match campaigns, as they capture real problems and outcomes shoppers care about.

Import review-derived phrases into Keywordly, then cluster them under tags like “pet hair,” “floor type,” or “noise level” to expose gaps in your current keyword coverage and positioning.

Use Amazon Search Term Reports

Once your campaigns are running, Amazon search term reports become your feedback loop. In Amazon Ads, navigate to Reports → Create Report → Sponsored Products → Search Term to download data showing which customer queries triggered your ads and how they performed.

Filter for search terms with strong click-through and at least a few conversions; if “stainless steel dog bowls non slip” is driving profitable orders, elevate it from broad/phrase to exact match in its own tightly themed ad group.

At the same time, watch for irrelevant or poor-performing terms. A pet bowl brand might see wasted spend on “decorative dog bowl stand” if it only sells basic stainless-steel sets.

Those phrases should become negative keywords to protect budget and clean up traffic quality.

Upload your search term CSV into Keywordly to automatically deduplicate, tag by performance (e.g., “winner,” “waste”), and create ready-to-deploy lists for both positive and negative keyword updates.

Centralize and Expand With Keywordly Research Workflows

Manual spreadsheets become messy the moment you scale Amazon PPC across multiple products or brands. Keywordly helps you centralize keyword ideas gathered from auto-suggest, competitor listings, reviews, and search term reports into one unified workspace.

Import your lists, then use Keywordly to normalize formats (singular/plural, casing), remove duplicates, and tag each term by source, intent, and relevance tier.

From there, Keywordly’s expansion tools can uncover long-tail and semantic variations that are hard to catch by hand, such as shifting “eco-friendly water bottle” into terms like “BPA-free reusable bottle” or “reusable water bottle for school.”

These variants often deliver cheaper clicks while still matching high-intent shoppers.

Finally, build a master keyword bank in Keywordly that supports both Amazon PPC and external SEO, so the phrases driving profitable ad sales can also inform blog content, comparison guides, and buying guides that rank on Google and AI search experiences.

Reference:
Amazon Keyword Research Explained

4. Build a High-Intent Amazon Keyword List That Converts

Differentiate High-Intent and Low-Intent Keywords

High-intent Amazon keywords signal a shopper is ready to buy, not just browse. Terms like “buy stainless steel water bottle 32oz” or “Nike running shoes men size 10” indicate clear purchase intent and usually deliver stronger ROAS, a pattern also highlighted in the Amazon PPC Guide for 2025.

Low-intent searches such as “best water bottles” or “running shoes info” often drive traffic but weak conversions because users are still researching. Price-, brand-, and feature-specific phrases like “under $20,” “Hydro Flask,” or “insulated with straw lid” usually show stronger intent and should anchor your Sponsored Products budget, while broad, discovery terms stay in low-bid test campaigns.

Group Keywords by Variations, Use Cases, and Audiences

Effective Amazon PPC structure starts with smart clustering. Group by variations—“32oz stainless steel water bottle,” “20oz kids water bottle,” “2-pack insulated bottles”—so each ad group can mirror the exact size, color, or pack shown in your listing images.

Then segment by use case and audience. For example, a travel brand might build clusters like “water bottle for travel,” “kids school water bottle,” and “gym water bottle for men.” Keywordly accelerates this process by auto-clustering large keyword sets by modifiers and intent, so you can create tightly themed ad groups in minutes instead of hours.

Prioritize Keywords by Relevance and Competition

Once you have clusters, score keywords by how precisely they match your product title, bullets, and images. A seller of “BPA-free stainless steel kids bottles” should prioritize that exact phrase and close variants over generic “kids bottle” terms that invite irrelevant clicks.

Layer in competition and CPC data from Amazon’s suggested bids. High-relevance, moderate-CPC phrases become primary targets; broader or expensive terms move into secondary or exploratory tiers with capped bids. This tiered approach aligns with best practices from the proven ad strategies to increase sales and ROI on Amazon.

Scale Keyword Management With Keywordly

Managing thousands of Amazon keywords in spreadsheets quickly becomes unmanageable. Keywordly solves this by letting you tag each keyword by intent level (high, mid, low), funnel stage (awareness, consideration, purchase), and product mapping so you always know which terms support which ASINs.

You can bulk-cluster Amazon search terms, assign custom scores for relevance and opportunity, and then export ready-to-launch keyword groups for Sponsored Products and Sponsored Brands. For agencies managing multiple brands, this turns a messy keyword dump into a structured, prioritized roadmap for profitable Amazon PPC in a fraction of the time.

Reference:
The Amazon Seller’s Guide to High-Intent Keywords That …

5. Structure Your Amazon PPC Campaigns and Ad Groups Around Keywords

Organize Campaigns by Strategic Goal

Clear campaign structure starts with intent. Separating branded, non-branded, competitor, and category campaigns lets you control budgets and bids based on profitability and growth potential, instead of running everything through one blended ACOS.

For example, a supplements brand selling “Nature Made Vitamin D3” might run a branded campaign targeting “nature made vitamin d3” and “nature made vitamins,” a non-branded campaign for “vitamin d3 5000 iu,” a competitor campaign targeting “NOW Foods vitamin d3,” and a category campaign like “immune support supplements.” Each gets its own budget and ACOS target so branded can run at 10–15% ACOS while non-branded and category sit closer to 25–30% for growth.

Keywordly helps by clustering branded vs. non-branded vs. competitor terms in a single project, so when you export keyword sets you can instantly map them into the right Amazon campaign types instead of manually sorting hundreds of search terms.

Create Tightly Themed Ad Groups

Within each campaign, ad groups should be built around tightly related keyword clusters mapped to a single product or variation. This keeps your ads, listing focus, and search terms aligned so Amazon’s algorithm sees strong relevance and rewards you with better placements and lower CPC.

A home brand selling a 20oz insulated “Hydro Flask Wide Mouth” style bottle on Amazon might have one ad group for “wide mouth water bottle,” another for “insulated water bottle 20oz,” and a third for “metal water bottle with straw.” Each ad group promotes a specific SKU and mirrors those phrases in the title and bullets.

Inside Keywordly, you can create reusable templates that group these clusters automatically (e.g., size-based, feature-based, use-case-based) so your ad groups stay consistent across dozens of ASINs without rebuilding structure from scratch.

Map Match Types to Ad Group Strategies

Match types should be intentional, not random. Broad match works best in separate discovery ad groups with capped budgets, phrase match for mid-funnel coverage, and exact match for performance groups that contain your proven “money” keywords with the highest conversion rates.

A beauty brand selling “CeraVe foaming facial cleanser” might run a discovery ad group using broad on “foaming face wash,” then a phrase group for “gentle facial cleanser,” and an exact group for “cerave foaming facial cleanser” and “cerave foaming cleanser for oily skin.” This separation makes it obvious which match type is driving ACOS up or down.

Keywordly lets you tag keywords by match-type intent (discovery, phrase, exact) and store your rules as project templates, so when you export Amazon-ready keyword lists, each sheet or column is already aligned to the correct ad group and match type.

Sync Structure With Keywordly Projects and Templates

To keep scaling Amazon PPC across multiple brands or product lines, your account structure should be mirrored inside your keyword research workflow. When Keywordly and your Amazon campaigns use the same naming and hierarchy, launches and optimizations become far more efficient.

For instance, you can create a Keywordly project called “Brand – Insulated Bottles – US” with sections for Branded, Non-Branded, Competitor, and Category, plus match-type labels. Those segments can be directly mapped to campaigns and ad groups named “BR – Insulated Bottles – Exact,” “NB – Insulated Bottles – Broad,” and so on.

By saving these as templates, agencies managing 20+ Amazon accounts can reduce setup errors, shorten launch timelines, and ensure every new ASIN follows the same proven campaign and ad group framework grounded in structured keyword research from Keywordly.

Reference:
Your Amazon PPC Campaign Structure

6. Optimize Bids and Match Types Using Data-Driven Amazon Keyword Research

Allocate Budget Across Match Types

Effective Amazon PPC starts with a clear budget split between broad, phrase, and exact match, aligned to your campaign’s maturity. In early testing, you might allocate 50% of spend to broad, 30% to phrase, and 20% to exact to uncover new converting search terms.

As data accumulates, shift spend toward proven exact-match winners. For example, a seller of Hydro Flask bottles could cap discovery (broad/phrase) at 30% of spend while directing 70% to exact terms like “hydro flask 32 oz wide mouth.” Keywordly helps by grouping keywords by match type and performance so you can spot where to cut waste and where to increase discovery budgets safely.

Adjust Bids Based on Performance Data

Bids should follow the numbers, not guesses. Use CTR and click volume to decide which keywords deserve more visibility. If “Burt’s Bees lip balm” runs at a 0.7% CTR but “natural lip balm” hits 2.5% with strong clicks, the latter deserves incremental bid tests.

Then optimize around conversion rate and ACOS. If your target ACOS is 25% and a keyword sits at 15% with steady orders, raise bids to capture more impressions. Keywordly centralizes ACOS, CVR, and CPC trends so you can quickly identify keywords to throttle back (high clicks, low conversions) and those to push harder.

Identify Hero vs Testing Keywords

Separating hero and testing keywords keeps your budget focused. Hero keywords are your consistently profitable, brand-critical terms—think “Kindle Paperwhite” for Amazon’s own device or “Instant Pot pressure cooker” for Instant Brands.

New or unproven terms, such as “electric pressure cooker for small kitchen,” should stay in testing campaigns with tighter bids and budgets until they hit clear thresholds (e.g., 30+ clicks, 3–5 sales, ACOS under 30%). In Keywordly, you can tag these buckets, run them in separate campaigns, and promote a testing keyword to hero status once it meets your performance rules.

Feed Performance Data Back Into Keywordly

The real power comes when you loop Amazon performance data back into Keywordly. Regular exports or integrations let you sync impressions, clicks, orders, and ACOS directly into your keyword database.

Once synced, you can label tiers such as hero, stable, and underperformer, then use those tags to guide future research and prioritization. Keywordly workflows can remind you weekly to lower bids on underperformers, expand match types for stable keywords, and duplicate hero terms into new campaigns—keeping your bid and match-type strategy continuously optimized instead of set-and-forget.

Reference:
Amazon Keyword Research Strategies: 6 Best Methods

7. Master Amazon PPC Negative Keywords to Protect Your Budget

Understand the Role of Negative Keywords

Negative keywords prevent your Amazon ads from showing on irrelevant or low-intent searches, keeping clicks focused on shoppers who are likely to buy. If you sell a “stainless steel water bottle,” you don’t want to pay for clicks on “free water bottle” or “plastic kids bottle.”

Consistent negative keyword management is one of the fastest ways to control ACOS. Brands like Anker have reported double-digit ACOS reductions by trimming spend on non-converting searches and reallocating budget to proven, high-intent terms such as “BPA-free metal water bottle 32 oz.”

Use campaign-level negatives to block broad themes (for example, “free,” “DIY,” “template”) and ad-group-level negatives to refine targeting for specific products. This two-layer structure prevents overlap and keeps each ad group focused on the right audience.

Types of Negative Match and When to Use Them

Amazon supports negative broad, phrase, and exact match types. Negative exact is best when a specific search term has high spend and zero conversions, like “kids plastic bottle 12 oz,” but you still want traffic from other bottle-related queries.

Negative phrase can filter clusters of unwanted intent, such as “how to make” or “DIY,” which signal research, not purchase. Use negative broad sparingly to block entire irrelevant concepts like “dog bowl” if you only sell human drinkware, so you don’t accidentally cut out valuable long-tail searches.

Systematically Find Negative Keywords

Regularly review Amazon search term reports to spot queries with high spend and poor performance. For example, if “decorative bottle centerpiece” has burned $40 with no sales over 60 days, it’s a strong negative candidate.

Look for patterns like wrong audience (“kids,” “party décor”), wrong use case (“DIY craft”), or wrong product type (“plastic,” “glass”). Build a weekly process: export reports, filter by high spend/zero sales, tag candidates, then add negatives at the right level so traffic quality continuously improves.

Manage Negatives With Keywordly

Keywordly helps you centralize Amazon keyword research and negative keyword decisions in one workflow. As you discover wasted terms in search term reports, log each negative keyword in Keywordly with a short reason such as “high spend, no sales” or “wrong product type.”

Group negatives into reusable lists by theme (price hunters, DIY searchers), product line (drinkware, accessories), and campaign type (sponsored products, sponsored brands). Keywordly lets you maintain consistent negative lists across similar ASINs, so you don’t repeat the same mistakes in new campaigns and can scale winning structures faster.

By pairing Amazon PPC data with Keywordly’s organized keyword libraries, you can quickly identify which terms to promote and which to suppress—tightening ACOS while protecting budget for your highest-intent, revenue-driving searches.

Reference:
Amazon Negative Keywords: A Profitability-First Guide for …

8. Turn Keyword Research Into Better Listings and Creative That Convert

Align Listings With PPC Keyword Data

Amazon rewards listings that mirror how shoppers actually search. When your product pages use the same language that converts in your PPC campaigns, you strengthen both relevancy and click-to-purchase continuity.

Start by mapping top-performing Sponsored Products keywords into titles, bullets, and descriptions. If “organic turmeric capsules” drives a 25% ACOS in your PPC data, work that exact phrase into your title and bullets, then place related variants in back-end search terms. Keywordly can centralize Amazon PPC exports, cluster related queries, and surface the phrases that should move from your ad reports straight into listing copy.

Craft Ad Copy and Creatives Around Winning Terms

High-intent search terms should guide not just where you bid, but how you speak to shoppers. When Sponsored Brands and Sponsored Display creatives echo the same wording buyers use, your ads feel more relevant and trustworthy.

For example, if Keywordly highlights “BPA-free glass meal prep containers” as a top converter, build a headline around that exact phrase and feature lifestyle images that clearly show glass and BPA-free labeling. Align those benefits on your product detail page so what the ad promises is fully reinforced by your bullets, A+ content, and comparison charts.

Use Long-Tail Keywords Strategically

Long-tail phrases often carry lower CPCs and clearer intent. Phrases like “running shoes for flat feet women” might get less volume than “running shoes,” but they typically convert at a higher rate because the need is precise.

Blend these long-tails naturally into bullets and descriptions instead of stuffing them. Keywordly can group long-tail clusters (for example, “for flat feet,” “arch support,” “overpronation”) so you can decide which deserve dedicated ad groups and extra budget based on real performance instead of guesswork.

Automate Content Briefs With Keywordly

Manually turning Amazon PPC reports into content directions is slow and error-prone. Keywordly streamlines this step by transforming your keyword performance data into structured listing and creative briefs.

Each brief can include priority term lists (primary, secondary, and long-tail), messaging angles tied to buyer intent, and notes on audience segments—ready for copywriters and designers. As PPC data shifts, refresh the brief in Keywordly so future listing updates, A/B tests, and new creative assets stay aligned with the most profitable Amazon keyword patterns.

Reference:
The 8 Best Keyword Research Tools for SEOs and …

9. Continuously Refine Your Amazon PPC Keyword Strategy With Automation

Establish a Recurring Optimization Workflow

A disciplined cadence keeps Amazon PPC from drifting into wasteful spend. Set a weekly workflow to review search term reports, bids, and keyword performance so you can react quickly to shifts in CPCs and shopper intent.

For example, a seller of Logitech accessories might lower bids on non-converting terms like “cheap mouse” while raising bids on high-ROAS terms such as “Logitech MX Master 3 wireless mouse.” In Keywordly, you can centralize these winning and losing terms and push them into your Amazon optimization checklist.

Incorporate Seasonality and Product Lifecycle

Seasonal demand on Amazon can swing dramatically around events like Prime Day, Black Friday, and back-to-school. Plan keyword adjustments weeks in advance so campaigns are ready when volume spikes.

A brand selling Stanley tumblers, for example, can layer in terms like “Mother’s Day gift for nurses” or “back to school water bottle” before those periods. In Keywordly, you can tag these as seasonal clusters, then set reminders to scale bids down once search volume normalizes and shift focus to evergreen phrases.

Integrate PPC, Organic SEO, and External Traffic

Your best Amazon PPC keywords should inform organic optimization and external traffic. Aligning terms across channels reinforces relevance and can improve ranking efficiency.

If “wireless noise cancelling headphones for Zoom calls” converts well in Sponsored Products, you can use Keywordly to update your content briefs for Amazon listings, blog posts, and Google Ads around the same phrase. That creates a unified funnel from Google search or content to your Amazon product page.

Automate Research and Tracking With Keywordly

Manual keyword tracking across Amazon, Google, and AI search is slow and error-prone. Keywordly automates collection of performance data so you can see which terms consistently drive revenue, impressions, and assisted conversions.

You can build a repeatable workflow where new winning Amazon search terms automatically feed into fresh content briefs, PPC tests, and AI-search-optimized pages. Over time, this cross-channel view helps you prioritize keywords that matter most for both marketplace sales and long-term organic visibility.

Reference:
9 Expert Tips for Your Amazon PPC Strategy

Conclusion: Key Takeaways to Boost Conversions With Amazon Keyword Research

How Focused Keyword Research Drives Results

Structured Amazon keyword research is the difference between profitable campaigns and constant ACOS headaches. When you map terms by intent—discovery, comparison, and purchase—you can push high-intent phrases like “instant pot 6 qt stainless steel” into exact-match campaigns and listing copy, while keeping broad, exploratory searches in controlled testing campaigns.

Brands like Anker have publicly shared that tightening keyword focus and pruning poor performers can cut wasted spend by double digits. With Keywordly, you can centralize keyword lists from Amazon search term reports, Google Keyword Planner, and third-party tools, then align them to product fit and margin targets so only keywords that match your business goals make it into core campaigns.

The real lift happens when PPC data feeds back into listings and creative. If a Sponsored Products campaign shows “BPA free kids water bottle” converting at 25% over 60 days, you can surface that phrase in your title, bullets, and A+ content. Keywordly helps you track those winners across campaigns and content, so optimization becomes a continuous loop, not a one-time setup.

Core Habits for High-Performing Campaigns

High-performing advertisers treat search term analysis as a weekly ritual. Brands running $50k+ monthly ad spend often review search term reports every 7 days, promoting consistent converters into exact match and sending test terms into lower bids. Keywordly lets you tag these terms, monitor performance trends, and push updated keyword sets to your creative workflow.

A disciplined negative keyword strategy is just as important. For example, a premium “organic coffee beans” brand might block “instant coffee” and “k cups” after seeing high clicks and zero sales. With Keywordly, you can maintain shared negative lists by category or brand, then replicate them across multiple ASINs and markets in a few clicks.

Bid and match-type tuning should follow fresh performance data, not hunches. If phrase match “running belt” on a sports brand slips from 20% to 10% conversion, you can lower bids while keeping exact match for “running belt for marathon” at full strength. Documenting these rules—then storing them in Keywordly as reusable playbooks—makes your approach repeatable across new product launches and marketplaces.

Strategic Alignment and Next Steps

The best Amazon keyword strategies don’t live in a silo; they support brand positioning and product strategy. A sustainable skincare brand, for instance, might prioritize “fragrance free face moisturizer” and “eczema safe lotion” to reinforce its sensitive-skin narrative across Amazon SEO, PPC, and its Shopify blog content. Keywordly helps unify that intent data so teams see the same keyword universe whether they’re writing PDP copy, blog posts, or ad campaigns.

Aligning Sponsored Products, organic rankings, and external traffic from Google or Pinterest means reusing proven keywords everywhere. If “unscented baby wipes bulk” works on Amazon, you can feed that insight into your Google Ads and content briefs directly from Keywordly’s centralized keyword hub.

As a practical next step, audit your live Amazon campaigns against this framework. Identify top-converting terms, wasted spend, missing negatives, and misaligned match types, then document a simple weekly routine in Keywordly. That workflow turns scattered keyword research into a consistent system that lowers ACOS, lifts conversion rates, and scales cleanly as you expand to new products and marketplaces.

FAQs About Amazon PPC Keyword Research and Negative Keywords

How Often Should I Update My Amazon PPC Keywords and Negative Keywords?

Amazon PPC performance can shift quickly as competitors change bids, shoppers search differently, and seasons roll over. Reviewing your campaigns on a set schedule helps you catch wasted spend before it snowballs and keep your best keywords funded.

Most sellers review active keywords and search term reports at least weekly. During those reviews, they pause or down-bid poor performers and add new negative keywords based on irrelevant queries. Keywordly helps by pulling Amazon search term data into organized dashboards so you can spot losing terms in minutes instead of combing through spreadsheets.

A deeper keyword refresh once a month works well for many brands. For example, a seller of Hydro Flask water bottles might add terms like “hydro flask wide mouth straw lid” or “32 oz insulated bottle” after seeing strong search volume. In Keywordly, you can cluster these into intent-based groups, then send refined lists back to Amazon for new campaigns or ad groups.

Why Is My ACOS High Even After Doing Amazon Keyword Research?

A high ACOS often means good research but weak execution. Sometimes bids are simply too aggressive for your margins, or your listing is not converting the traffic you’re paying for. If your product images or bullets underperform competitors like YETI or Contigo, even great keywords will look unprofitable.

Start by comparing your bids to target margins; a 30% margin product usually can’t sustain a 45% ACOS. Then inspect search term reports for low-intent queries such as “free water bottle” or “hydro flask stickers” that should become negatives. Keywordly helps by clustering these search terms, highlighting patterns of irrelevant traffic, and suggesting candidate negatives so you can quickly lower ACOS without blindly cutting valuable keywords.