A Comprehensive Guide to Keyword Targeting in Amazon PPC: Part 1

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In the competitive e-commerce jungle of Amazon, standing out is no easy task. At the core of every successful PPC campaign is the magic of PPC keyword targeting. Choosing the right words, phrases, and search terms used by your intended audience can make or break your sales. By strategically selecting and optimizing keywords, you can significantly boost your visibility, drive targeted traffic to your listings, and increase your sales. In this 2-part blog, we will dive into the different types of keyword targeting in PPC campaigns. We will uncover the intricacies of each type and how to leverage them to fine-tune your strategy, beat the competition, and maximize returns.


Types of Keyword Targeting

There are two primary types of keyword targeting in Amazon PPC. First is the automatic targeting and the second is manual targeting. In automatic targeting you leave the option to choose in what keywords your ads will be shown. On the other hand, manual targeting lets you have more control and decide in what keywords your ads will appear. Let’s delve into each type and see how best to leverage them.


Automatic Targeting

This type of keyword targeting is probably the simplest and commonly used keyword targeting in PPC. It is a feature found within Sponsored Products ads wherein Amazon uses its vast data and sophisticated algorithm to select the keywords for which your ads will be shown. In this type of targeting, Amazon’s system analyzes your product’s title, description, category, and other relevant data. Amazon’s algorithm matches your ads with relevant customer search queries and behavior. This is beneficial for new sellers or those with a short list of keyword research data. This type of campaign can be used to discover performing search terms as well as new keywords that may not be in your list.


Types of Automatic Targeting Groups

There are four targeting groups within this category: Close Match, Loose Match, Substitutes, and Complements. These targeting groups help refine how your ads are displayed.

Close Match targeting targets search terms that are closely related to your product’s keywords while Loose Match targeting targets search terms that are broadly related to your product’s keywords. Substitutes targeting targets search terms for products similar to yours. Lastly, Complements targeting targets search terms for products that complement your product.


The Pros and Cons of Automatic Targeting


The Benefits

Simple and easy – This type of targeting is ideal for beginners in PPC campaigns. Setting up ad campaigns using this targeting type is simple and straightforward. This type of keyword targeting doesn’t require extensive keyword research.

Good for Data Gathering – This type of targeting is ideal for discovering keywords. It provides valuable insights into which keywords perform well. This can be used in doing research for new keywords that are not yet in your list of keywords.

Wider Scope – Automatic targeting captures a broad range of search queries that you might not have discovered in your manual keyword research. It uses Amazon’s vast and extensive data.


The Cons

Minimal Control – Since in this type of targeting Amazon chooses what keywords your ads will be shown, you have less control over which keywords your ads are shown for. This can raise higher irrelevant traffic and audience to your ads.

Higher Costs – Because of the wider range of targeting, this type also makes it costly. This type of targeting tends to get irrelevant clicks and increases ad spend for keywords that might not be good performers.


Best Practices

Best to use this type of campaign when you are launching a new product. You can also use this if you are a new seller and would like to explore the potentials of advertising. Use this method when trying to discover or research new keywords that you can use for campaigns.

Review Search Term reports regularly to review your campaigns. Identify high-performing and irrelevant keywords so you can optimize your campaigns. Negate keywords that are non-performing and are just bleeding your ad spend. Adjust your budget and bids based on the performance data you have gathered in your campaigns.


Once you have gathered enough data from your campaigns transition from automatic to manual campaigns. Create manual campaigns with more targeted keywords gathered from your automatic campaigns. This technique gives you more control over your campaigns and potentially improves your return on ad spend (ROAS).


Automatic keyword targeting in Amazon PPC campaigns offers a convenient and efficient way to start advertising your products without the need for extensive keyword research. While it provides a wider reach and valuable data, it’s important to monitor performance closely and use the information gained to optimize your ad campaign.


In Part 2 of this topic we will delve into the manual keyword targeting of PPC campaigns. We will look and dive into the details of what manual keyword targeting is, it’s advantages and disadvantages, and how best to use this method in your campaigns. See you in the next blog!

The Emotion Engine: How to Write Product Descriptions That Create Desire

By William Fikhman • November 3, 2025
In a marketplace dominated by algorithms, keyword density, and A/B testing, one truth remains unchanged: people don’t buy products—they buy feelings . On Amazon, where every scroll reveals a dozen identical products, it’s not the specs or the price that seal the deal—it’s the emotion behind the description. Yet, many listings sound like they were written by machines for machines. The result? A race to the bottom in price and performance. The secret weapon of top-performing listings isn’t more keywords—it’s emotional resonance . Let’s break down how to turn your product descriptions into an emotion engine that transforms shoppers into buyers. 1. The Emotional Layer Behind Every Purchase Every product purchase starts with an emotional trigger. A shopper doesn’t buy a retinol serum—they buy the confidence of clear skin . They don’t buy a posture corrector—they buy relief from pain and embarrassment . Emotional writing connects the dots between desire, transformation, and trust . Ask yourself: What pain does my product remove? What joy does it create? What transformation does it symbolize? Your description isn’t just explaining features—it’s narrating the shopper’s before-and-after journey . Example: ❌ “This moisturizer contains hyaluronic acid and vitamin E.” ✅ “Experience the deep hydration that makes your skin look refreshed, plump, and confident—even after long days.” Facts inform. Emotion transforms. 2. Start With Empathy, Not Enthusiasm AI copy and generic templates often make one fatal mistake: they start selling before understanding. Real emotional writing starts with empathy . Before you write a single line, visualize your customer: What are they worried about? What frustrations brought them here? What do they secretly hope your product will solve? By mirroring your audience’s mindset, you’re not selling—you’re validating . For example: “Tired of concealers that fade before lunch? Meet the setting powder that stays loyal all day.” This approach instantly tells the shopper: you get me —which is far more powerful than “best-selling” or “premium quality.” 3. Use the Desire Formula: Feature → Benefit → Feeling Most sellers stop at features. Great sellers translate features into feelings . Feature Benefit Feeling “Retinol + Niacinamide blend” “Improves texture and tone” “Confidence when you see smoother, brighter skin” “Ergonomic handle” “Reduces wrist strain during use” “Comfort and ease—no more hand fatigue” “Fast USB-C charging” “Full power in 30 minutes” “Freedom to move without waiting” Each bullet point should ladder up from what it does → why it matters → how it makes the shopper feel . Amazon’s top 1% of listings do this instinctively. Their copy doesn’t sound like sales—it sounds like satisfaction . 4. The Psychology of Power Words Certain words bypass logic and go straight to emotion. These “power triggers” awaken curiosity, trust, or urgency. Here are a few categories to build your emotional vocabulary: Sensory Words: silky, crisp, luminous, soothing Transformation Words: reveal, restore, renew, awaken Trust Words: dermatologist-tested, verified, certified Urgency Words: today, instantly, effortlessly Example: “Reveal brighter mornings with our vitamin-rich serum that awakens your skin’s natural glow.” When blended naturally, these words spark imagery and trust—two cornerstones of conversion. 5. Build Micro-Stories Inside Your Listing Storytelling isn’t just for novels—it’s the heartbeat of great copy. Even within Amazon’s strict character limits, you can weave narrative flow into your bullets or A+ content. Structure it like this: Set the scene: “Imagine stepping out with skin that feels hydrated from the moment you wake up.” Present the solution: “Our serum locks in moisture for 24 hours using a blend of botanical extracts.” Deliver the transformation: “No dryness. No dullness. Just calm, confident radiance.” Each section builds anticipation and emotion—just like a story arc. When shoppers feel your story, they don’t just buy—they believe . 6. Design Language That Mirrors Emotion Words alone aren’t enough. Layout, rhythm, and tone influence perception. Break up text into scannable, emotionally charged phrases. Use rhythm : vary sentence length to create movement and energy. Echo your visuals: If your image shows serenity, your words should sound calm, not hyped. Your product description should feel like music—structured but emotional, data-driven yet human. 7. Test for Emotional Resonance Don’t just test for conversion—test for connection . Run A/B tests that measure engagement metrics like dwell time and click-to-detail rate. Ask reviewers what emotion your product inspired— relief, confidence, comfort, joy? Then, weave that feedback back into your copy. Emotion isn’t static; it evolves with your audience. The Bottom Line Emotion is the missing variable in most Amazon listings. Data might drive visibility—but emotion drives conversion. Every keyword should serve a feeling. Every sentence should pull your reader closer to desire. When your product descriptions speak the language of emotion, you’re no longer just selling a product—you’re selling a promise. From Listings to Love: Partner With Experts Who Write to Inspire and Convert At Chief Marketplace Officer , we go beyond optimization—we craft experiences that make shoppers feel something. Our team of Amazon specialists: Writes emotionally intelligent product copy rooted in buyer psychology and keyword strategy. Designs A+ Content and Brand Stores that spark curiosity and trust. Transforms feature-heavy listings into customer-focused stories that sell. Conducts emotional A/B testing to pinpoint what truly drives desire and loyalty. In a world of AI-generated sameness, emotion is your ultimate differentiator. Ready to make your listings irresistible? 👉 [ Book Your Strategy Call with CMO Now ]
Illustration highlighting hidden dangers of AI: emotional manipulation, cognitive decline, privacy invasion, misinformation.

Inventory Whisperer: The Hidden Dangers of AI Copy — How to Stay Compliant With Amazon’s Style Policies

By William Fikhman • November 3, 2025
Artificial intelligence has reshaped the way Amazon sellers approach content creation. From product titles to bullet points, AI copy generators can produce keyword-rich text in seconds—turning what used to take hours into minutes. But there’s a hidden danger beneath the speed: non-compliance . Amazon’s style policies are precise, evolving, and often stricter than sellers realize. And while AI tools excel at generating content quickly, they don’t inherently understand Amazon’s nuanced rules, restricted terms, or evolving compliance guidelines . The result? Listings that look impressive but risk suppression, policy warnings, or even account suspension. Let’s explore why AI copy can quietly sabotage your listings—and how to use automation responsibly without breaking the rules. 1. The Allure of AI Copywriting (and Its Hidden Risks) AI-generated content promises scale, consistency, and keyword density. It can analyze competitor data, mimic tone, and generate product descriptions in bulk. For busy sellers, it feels like the ultimate shortcut. However, Amazon isn’t grading you on how creative your copy sounds—it’s grading you on compliance, clarity, and buyer experience . AI tools trained on open web data often: Use unauthorized claims like “FDA-approved,” “clinically proven,” or “guaranteed results.” Capitalize words excessively (“BEST,” “AMAZING,” “LIMITED OFFER”)—a direct violation of style rules. Repeat keywords unnaturally, triggering Amazon’s A9 spam filters. Include subjective language that’s flagged for misleading advertising. AI doesn’t know that “100% safe,” “chemical-free,” or “best in the world” can result in suppression. You might think you’re optimizing—but Amazon’s bots think you’re violating. 2. Amazon’s Style Rules Are More Than Grammar Amazon’s content policies aren’t just about syntax; they’re about customer trust and uniformity . Every category has unique rules for phrasing, formatting, and compliance. Here are a few examples many AI tools miss: Health & Beauty Listings: Claims must be substantiated. “Reduces wrinkles” is fine. “Eliminates wrinkles instantly” is not. Electronics: Avoid unnecessary technical jargon or subjective claims like “the most advanced ever.” Supplements: AI-generated copy often includes prohibited terms like “cure,” “treat,” or “prevent,” which classify your listing as a medical claim. One violation might not seem serious, but repeated infractions can cause suppressed listings or even suspension under Amazon’s Misleading Content policy . 3. When AI Meets A9: The Algorithm Doesn’t Forgive AI tools tend to optimize for keyword volume, not context. But Amazon’s A9 (and now, A10) algorithm values relevance, readability, and compliance over raw repetition. For example: “Vitamin C Serum for face, Vitamin C Serum for women, best Vitamin C Serum anti-aging skincare” AI thinks this is keyword gold. Amazon flags it as keyword stuffing and quietly demotes it. Over-optimized AI copy can also lower conversion rates , confusing shoppers with repetitive or unnatural phrasing. A9 notices when your listing attracts traffic but doesn’t convert—and interprets it as a relevance issue. The irony? The same AI that helps you rank may also be the reason your rankings collapse. 4. How to Train Your AI, Not Let It Train You AI should be a co-pilot , not an autopilot. Sellers who get the best results blend automation with expert oversight. Here’s how: Feed AI the right prompts. Include your product type, category rules, and compliance reminders. Example: “Write a skincare product title under 150 characters, avoid medical claims, and comply with Amazon’s Beauty Style Guide.” Always perform a manual compliance check. Run your text through restricted-term scanners (like Helium 10’s Listing Analyzer or CMO’s compliance workflow). Refine tone and structure. Replace AI’s generic phrasing with brand-specific language and verified benefits. Update regularly. Amazon’s rules evolve quarterly—especially for Health, Beauty, and Supplements. When used correctly, AI can supercharge productivity. But without human oversight, it can become your biggest liability. 5. The Human Edge: Why Authenticity Still Wins Shoppers can spot AI text from miles away—it lacks empathy, rhythm, and emotional resonance. Where AI writes to describe, humans write to connect . Real copywriters and Amazon SEO specialists blend data with persuasion : They use customer reviews to extract real pain points. They translate technical features into tangible benefits. They inject personality that aligns with brand voice and buyer psychology. Amazon’s algorithm now rewards listings with high dwell time, strong CTRs, and authentic engagement—all hallmarks of human-optimized content . 6. Compliance Is the New Creativity In 2025, creative Amazon sellers will be those who can innovate within Amazon’s constraints. Compliance doesn’t kill creativity—it channels it. Mastering style rules allows you to stand out safely : Write keyword-optimized yet compliant titles. Use power phrases that persuade without violating terms. Craft benefits-driven copy rooted in verified facts, not hype. AI will continue to evolve—but Amazon’s enforcement will too. The winners will be the brands who merge AI’s efficiency with human compliance expertise. The Bottom Line AI is a powerful tool—but it’s not a replacement for judgment, strategy, and compliance . Amazon’s evolving content rules are designed to protect shoppers and reward trustworthy brands. If your copy sounds too good to be true, Amazon’s algorithms will assume it is. Stay ahead by blending AI precision with human insight. Build listings that persuade, perform, and play by the rules. From Automation to Authority: Partner With Experts Who Keep You Compliant and Competitive At Chief Marketplace Officer , we don’t just write listings—we engineer compliance-driven content frameworks that rank, convert, and protect your brand. Our team of Amazon specialists: Review your listings for policy adherence, restricted terms, and brand alignment. Crafts keyword-optimized titles, bullets, and A+ modules that stay fully compliant. Trains your AI systems to generate content aligned with Amazon’s evolving style guides. Builds workflow systems that balance speed, SEO, and policy safety. AI can make you faster—but CMO makes you smarter. Ready to protect your listings and unlock growth? 👉 [ Book Your Strategy Call with CMO Now ]