Amazon PPC Strategy 2026: Advanced Tactics to Dominate Your Category

A broad match campaign with one default bid is no longer enough for most Amazon sellers. In the 2026 Amazon marketplace, US-based sellers now face higher competition and more data-driven ad decisions. Cost-Per-Click (CPC) averages continue to inflate as institutional capital floods the platform, and Amazon’s integration of its AI shopping assistant, Rufus, is changing how sellers think about buyer intent and product relevance. 

Amazon PPC is moving beyond simple keyword bidding into an era of signal-based marketing, persona targeting, and profit-based ad decisions. For sophisticated brand managers and established sellers, basic tutorials on how to set up an ad campaign are no longer sufficient. If you are still relying on a messy, overlapping campaign architecture and evaluating your success strictly by ACoS in isolation, you may be wasting budget and giving competitors room to win more clicks. 

This guide is for sellers who already understand the Amazon advertising console but need to refine their strategic framework. It explains how to review old campaign habits and build a cleaner PPC structure. By the end of this guide, you will understand how to build scalable campaigns, deploy the “onion approach” for keyword harvesting, utilize statistical significance for negative targeting, mathematically manipulate placement multipliers, and align your paid media with organic ranking velocity. 

Here is a practical Amazon PPC strategy for 2026. 

How to Create an Efficient Campaign Structure

A strong Amazon advertising account starts with a clear campaign structure. If your structure is flawed, your data will be obscured, your budgets will be misallocated, and your ability to scale profitably will be limited. An efficient campaign structure is not just about keeping things tidy; it is about controlling where the budget goes and why. 

Structuring for Maximum Scalability 

Scalability in Amazon PPC requires isolation. The most common mistake mid-level sellers make is cramming too many variables (multiple products, multiple match types, and vastly different keyword intents) into a single campaign. This setup makes campaign control harder. Amazon’s algorithm will automatically funnel the campaign’s budget toward the highest-volume search terms, leaving some profitable long-tail keywords without enough budget to perform. 

To structure for maximum scalability, you must adhere to a single-variable testing environment. This means separating campaigns by product group (or even single ASINs for your top sellers), separating them by match type (e.g., an Exact Match campaign and a completely separate Broad Match campaign), and separating them by strategic intent (Brand Defense vs. Non-Branded Discovery). This isolated architecture allows you to easily identify exactly what is driving revenue and independently scale the budgets of winning campaigns without accidentally funding the losers. 

Criteria for Product Selection: Moving Beyond the Basics 

Let’s briefly establish the baseline. By now, the fundamental prerequisites for advertising should be common sense: you already know not to waste budget on products with terrible reviews, uncompetitive pricing, razor-thin profit margins, or shallow inventory that will instantly stock out. Advertising makes listing problems more visible. If your listing is broken, PPC may increase your losses. We can treat these basic checks as the basic starting point. 

In 2026, relying solely on those foundational metrics is not a strategy. To compete more effectively in your category, your product selection must be highly tactical, leveraging paid media as a calculated lever to manipulate the broader Amazon A9 algorithm. Here are advanced selection tactics to consider: 

1. The Rank3-10 Flywheel Strike. Do not waste your entire budget trying to push a stagnant product from page seven to page one. Instead, audit your catalog and identify the SKUs that are currently ranking organically in positions 3 through 10 for high-volume, non-branded keywords. These products are close to the top positions but are missing the final algorithmic push. 

By strongly targeting these specific keywords with Exact Match Sponsored Products campaigns, you create a short-term increase in sales velocity for those exact terms. Because Amazon’s search algorithm heavily weights conversion history and recent sales velocity when calculating search rankings, the sales generated by your paid ads can support stronger organic ranking signals. This paid media boost effectively kicks off the Amazon flywheel, creating a spillover effect where paid traffic can support more organic sales at the very top of the page. 

2. Accelerating High-Potential SKUs.When you notice arelatively new listing or a sleeper SKU in your catalog starting to gain organic traction and converting well on its own, do not sit back and let it grow at its own natural pace. You should support that momentum with more targeted paid traffic. Use Amazon PPC to speed up its growth. By feeding a naturally high-converting listing more paid traffic, you build review velocity faster, solidify its market position, and capture demand before competitors respond. 
3. Exploiting the New Listing “Honeymoon” Period.When you launch abrand new ASIN, Amazon grants it a temporary grace period, widely referred to in the industry as the “Honeymoon Phase.” During these initial weeks, the algorithm is highly sensitive and actively looking for data to categorize and rank your product. Simply put: it is significantly easier for a new listing to break into the top organic search results during this window than it ever will be again. 

Do not waste this critical period being conservative with your budget while waiting for organic traction to slowly build. You should consider a stronger PPC push from day one. The goal during the honeymoon phase is early sales velocity and useful data that help Amazon understand the product. Use this early period to collect useful data and build sales history so that when the honeymoon ends, your product is better positioned on page one. 

4. Defending Your Cash-Cows and Brand Real Estate.One common mistake among experienced sellers is pausing advertising for their bestselling products simply because they already rank organically in the number one spot. The assumption is, “Why pay for the click when the shopper will just click my free organic listing right below it?”

This line of thinking misses how shoppers often interact with the search engine results page (SERP). The Amazon SERP is similar to retail shelf space: position matters. Industry data consistently shows that the top three positions on an Amazon search results page capture roughly 64% of all clicks. If you surrender the top Sponsored Product placement, a competitor can buy it and take some of that traffic. 

By constantly running ads for your best-converting keywords and brand searches, you can occupy both the top paid spot and the top organic spot simultaneously. Featuring prominently in two adjacent positions on the same screen can increase your total click share, reinforce your brand authority, and effectively push your competitors further down the page where visibility decreases quickly. Keep protecting top-performing products, even when current results look strong. 

Granular vs. Broader Campaign Structures 

The debate between granular (Single Keyword Ad Groups or highly segmented campaigns) and broader structures is heavily influenced by your budget and the similarity of your products. 

A granular structure gives you more control over budget allocation. By isolating your branded search terms (where you expect a 5% ACoS) from your generic category terms (where you expect a 35% ACoS), you ensure that your generic campaigns do not steal the budget meant to protect your brand from competitors. Furthermore, granular structures allow you to tailor placement modifiers perfectly. However, if your budget is severely constrained (e.g., $20 a day), a hyper-granular structure will fail because the budget gets spread too thin across dozens of campaigns, preventing any of them from achieving algorithmic momentum. 

Broader structures are acceptable only when products are virtually identical in conversion rate and profit margin, for example, a t-shirt available in five different colors. Grouping similar variations into a single ad group pools their data, allowing Amazon’s machine learning to optimize faster. 

Calculating Ad Budget Based on Expected CPCs 

Your budget cannot be an arbitrary number chosen at random; it must be mathematically derived from your expected Cost-Per-Click and your product’s conversion rate. If your target keyword has an expected CPC of $2.50, and your historical conversion rate is 10%, you know it takes 10 clicks ($25.00) to generate one sale. 

If you set your daily campaign budget to $15.00, your campaign will literally run out of money before it mathematically has the chance to convert. This makes the campaign unlikely to collect enough data. To scale, your daily budget per campaign should allow for at least 3 to 5 minimum conversions based on your historical CPCs. For a deeper analysis on modeling unit economics against traffic costs, refer to our foundational guide: How much do Amazon ads cost and how to combat rising CPCs. 

TOFU vs. BOFU Campaigns and Off-Amazon Traffic 

Advanced account architecture mirrors the traditional marketing funnel. Top of Funnel (TOFU) campaigns are designed for brand discovery and category growth. These are typically broad match keywords, Sponsored Brands video ads targeting high-volume generic terms, and off-Amazon Sponsored Display campaigns designed to capture “window shoppers” reading blogs or watching Twitch. The goal here is driving massive impressions and new-to-brand metrics, not necessarily immediate ROAS. 

Bottom of Funnel (BOFU) campaigns are your profit engines. These target high-intent, long-tail search queries (e.g., “stainless steel garlic press rust proof” instead of just “garlic press”). BOFU campaigns also include heavy retargeting utilizing Amazon Marketing Cloud (AMC) to show Sponsored Display ads exclusively to shoppers who abandoned their cart in the last 7 days. By structuring your budget across this funnel, you ensure you are continually feeding the top with new eyes while using higher-intent traffic to drive more efficient sales. 

Ad Targeting

With your structural foundation in place, the next phase is deciding how Amazon connects your ads with shopper intent. Understanding the symbiotic relationship between discovery and control is a key skill for experienced Amazon advertisers. 

While beginners rely heavily on Automatic targeting to let Amazon do the heavy lifting, advanced sellers view Auto campaigns strictly as data-harvesting tools. You allocate a small, controlled percentage of your budget to Automatic campaigns, allowing Amazon’s constantly evolving algorithm to find new long-tail search terms that you could never predict manually. Once the Auto campaign proves a keyword is profitable, you extract it and move it into manual campaigns with a stronger bid and budget plan. For a deep dive into the mechanics of this extraction process, refer to our primer: Automatic vs Manual Campaigns on Amazon. 

Keyword Targeting and Match Types 

When migrating targets to manual campaigns, you must understand the intent behind match types. Broad Match allows for massive variations, including synonyms and words inserted in any order. Phrase Match locks in the sequence of your phrase but allows for additions before or after. Exact Match triggers only when the search query mirrors your keyword almost identically. 

The Onion Approach 

One common advanced targeting structure used by top agencies is the “Onion Approach” (also known as the Peel, Stick, and Block method). This strategy creates a clear system for keyword discovery and control. 

At the core of the onion is your Exact Match campaign. This is reserved solely for your highest-converting, proven search terms. Because these terms have a historical track record of profitability, you allocate a high budget and strong bids here. These are the searches where you usually want stronger bids. 

The outer layers of the onion consist of your Phrase and Broad Match campaigns. These act as your “catch-all” nets, designed to capture variations, misspellings, and emerging long-tail queries related to your core terms. However, to prevent these broad nets from stealing traffic from your high-converting Exact Match campaign, you must take your Exact Match keywords and apply them as Negative Exact keywords within your Phrase and Broad campaigns. 

By negatively matching your top performers out of your broad campaigns, you force Amazon to only show the broad ads for new variations. This eliminates internal keyword cannibalization, forces your budget to discover new terms, and ensures that when a shopper types your proven keyword, it is handled exclusively by your highly optimized, aggressively bid Exact Match campaign. 

ASIN Targeting (Competitor Conquesting) 

Keyword targeting is only one part of Amazon PPC. ASIN targeting (Product Targeting) allows you to bypass the search results entirely and place your ad directly on a competitor’s product detail page, right under their buy box or within their bullet points. 

ASIN targeting works best when you have a clear competitive advantage. It makes sense to deploy this tactic only when you have a distinct, objective advantage over the target ASIN. Competitor ASIN targeting may work well if: 

• Your product is priced lower than theirs. 

• You have significantly more reviews or a better star rating. 

• Your product has a premium feature or bundle that theirs lacks. 

• Their product is currently out of stock or experiencing slow shipping times. 

Conversely, targeting a competitor who is cheaper, better reviewed, and highly ranked is a fast track to bleeding budget. You will pay for the click, but the shopper will easily deduce that the competitor’s listing is superior, and your conversion rate will plummet. 

Negative Keyword and Negative Product Targeting

Advanced Amazon PPC is often less about knowing what to bid on, and more about knowing exactly what to exclude. Negative targeting is the deployment of specific instructions to Amazon’s algorithm to never show your ad for certain search terms or on specific competitor pages. 

Improving Efficiency Over Time 

Negative targeting is the primary lever for improving your ACoS and TACoS over time. Every day, Broad and Automatic campaigns waste money on clicks from shoppers looking for a product slightly different from yours. If you sell a premium leather wallet, you do not want to pay for clicks from people searching for “cheap velcro wallet.” By adding “cheap” and “velcro” as negative phrase match keywords, you reduce spend on traffic that is unlikely to convert. 

Making Decisions Based on Statistical Significance 

The critical error sellers make with negative targeting is acting on emotion rather than statistical significance. If a keyword gets three clicks and zero sales, some sellers may negative match it too early. This is a massive mistake. A 10% conversion rate means it takes an average of 10 clicks to get a sale. Three clicks without a sale is not enough data for a decision. 

You must establish a threshold of statistical significance before killing a keyword. A standard benchmark in 2026 is waiting until a keyword has accrued enough spend to equal your target Cost Per Acquisition (CPA), or waiting for roughly 15 to 20 clicks without a conversion. Once that threshold is crossed, the data statistically proves that the keyword is a loser for your specific listing, and you can confidently apply a Negative Exact match to stop repeat waste from that term. 

This exact methodology applies to Product Targeting as well. If your ad has appeared on a competitor’s ASIN and generated 25 clicks without a single purchase, you must apply a Negative ASIN target to prevent your ad from ever appearing on that page again. For an exhaustive look at structural exclusions, refer to our resources: How negative keyword targeting on Amazon prevents ad budget wastage and The Complete Guide to Negative Product Targeting on Amazon. 

Campaign Bidding Strategies

Once your structure and targets are set, you must dictate how aggressive your bids behave in real-time auctions. Amazon offers different bidding strategies, and selecting the wrong one can increase your CPCs without a corresponding lift in sales. 

Fixed Bids vs. Dynamic Bids 

When you select Fixed Bids, you are disabling Amazon’s predictive algorithm. If you bid $2.00, your bid enters the auction at exactly $2.00, regardless of context. This strategy is useful for controlled brand defense campaigns or when you are aggressively trying to force impressions during a new product launch, but it lacks the nuance required for strict profitability. 

Dynamic Bids – Down Only remains the safer strategy for the vast majority of non-branded campaigns. Under this setting, if you bid $2.00, Amazon will automatically lower your bid in real-time if the algorithm determines that a specific shopper is highly unlikely to convert (perhaps based on their browsing history or poor review reading habits). This protects your budget from low-quality traffic. 

Dynamic Bids – Up and Down is an aggressive growth lever that should only be pulled by seasoned operators. This allows Amazon to increase your bid by up to 100% (effectively turning a $2.00 bid into a $4.00 bid) if the algorithm believes the click is highly likely to result in a sale. While this can help you dominate high-converting placements, it requires a larger budget and close monitoring. Avoid using this setting on broad match or automatic campaigns unless the data already supports it. Only apply “Up and Down” to mature, highly optimized Exact Match campaigns where every keyword has a proven track record. For a deeper strategic framework, review Selecting the Right Campaign Bidding Strategies: Dynamic vs Fixed. 

Bid Adjustments based on Placements and Audiences

In 2026, the bid you set at the keyword level is merely a baseline suggestion. Amazon PPC also depends on using placement modifiers and audience adjustments with care to ensure you are bidding highest exactly where your product performs best. 

Placement Modifiers: CTR vs. Ad Positioning 

Amazon allows you to apply a percentage multiplier (up to 900%) to your base bid if the auction is for “Top of Search (First Page)” or “Product Pages.” 

Placement Modifiers: Average Amazon CTR by Search Rank 

To use these modifiers effectively, you must understand the exponential decay of click-through rates as a shopper scrolls down the page. As noted in a comprehensive breakdown of the Average Amazon CTR by Search Rank by SellerMetrics, the average Amazon CTR is approximately 0.4% across all ad placements. However, that baseline average is heavily skewed by the massive volume of low-visibility impressions at the bottom of the page and on competitor listings. 

When you analyze the Average Amazon CTR by Search Rank, the correlation between your ad’s position and its click volume is clear. Top-of-search placements often capture more buying intent. While a campaign’s overall average CTR might hover around 0.5%, an ad in Position 1 (Top of Search) can easily command a CTR of 15% to 20%. 

As you drop from Position 1 to Position 2, that rate is effectively cut in half. By the time you reach the bottom of page one, or land on a competitor’s product page via “Rest of Search” placements, your CTR often drops well below 0.3%. 

Because Top of Search placements yield a massively higher CTR, your ad will receive significantly more traffic in that position. However, a higher CTR does not guarantee profitability; it just means more shoppers are clicking. 

To optimize your placement modifiers mathematically, you must cross-reference your placement CTR with your Conversion Rate (CVR). If your product converts at 15% at Top of Search, but only 5% on Product Pages, you are fully justified in paying a premium for the top spot. You might set a base bid of $1.00, but apply a 100% modifier to Top of Search. This ensures you bid $2.00 for the highly profitable top spot, but avoid overpaying for product page placements that convert less often. 

Audience Adjustments and Dayparting 

With the expansion of Sponsored Display and Amazon Marketing Cloud, audience bidding has become crucial. You can now adjust bids based on behavioral segments. For products with a high repeat purchase rate (like supplements or premium coffee), you can apply positive bid multipliers to audiences who have purchased from you in the last 60 days. It is vastly cheaper to re-acquire an existing customer than to win a cold click. 

Dayparting, or intraday bid scheduling, can be useful for sellers with clear hourly performance patterns. Amazon’s predictive pacing often burns through default daily budgets on low-intent morning “window shoppers.” By the time the high-converting evening rush occurs (typically between 7 PM and 11 PM), budgets are exhausted. Using software or macro-level scheduling, advanced sellers lower their bids during low-converting hours (like 2 AM to 9 AM) and apply aggressive positive multipliers during peak historical conversion windows. This ensures your budget is deployed when shoppers are more likely to buy, not just browsing on their commute. 

Measurement & Analytics

Less experienced advertisers often focus too much on clicks. Professional advertisers optimize for incremental sales and overall brand profitability. The metrics you track shape the decisions you make. 

The Amazon Search Terms Report 

The Search Terms report is one of the most useful reports in your Amazon account. While the campaign dashboard shows you the keywords you bid on, the Search Terms report reveals the actual raw phrases that customers typed into the search bar before clicking your ad. 

Analyzing this report is how you compare your keyword plan with actual shopper searches. You must download this report weekly, filter it for high-spend/zero-sales terms to add to your negative lists, and filter it for low-ACoS/high-converting terms to extract and graduate into your Exact Match campaigns. 

ACoS vs. TACoS 

As mentioned, ACoS (Advertising Cost of Sales) is a micro-metric. It measures the profitability of your ad spend on its own. While important for managing immediate cash flow, it is limited when used as the only success metric because it ignores the organic lift generated by your ads. 

TACoS (Total Advertising Cost of Sales) is your macro-metric. It is calculated by dividing your total ad spend by your total overall revenue (paid plus organic). TACoS shows how much your total sales depend on ad spend. In a healthy 2026 Amazon business, your goal is to aggressively spend to push your ACoS right up to your break-even margin, driving stronger sales velocity. This velocity triggers Amazon’s organic ranking algorithms, pushing your product to page one organically. As organic sales increase, your overall revenue spikes without additional ad spend, driving your TACoS down. 

The Concept of Incrementality 

Sophisticated measurement requires understanding incrementality, asking the question, “Would this sale have happened anyway without the ad?” 

This is crucial when evaluating Brand Defense campaigns. If you bid heavily on your own brand name, your ACoS will look incredibly low (e.g., 2%). However, these ads are often highly non-incremental; the shopper already typed your brand name and likely would have clicked your organic listing right below the ad if you hadn’t paid for the click. Therefore, Brand Defense campaigns must be evaluated differently than generic non-branded campaigns, which are highly incremental because they capture cold traffic that did not know your brand existed. For a deep dive into KPI analysis, review our guide: Amazon PPC KPIs to Track beyond ACoS & TACoS. 

Amazon Ad Optimization & Advanced Tactics

Optimization should happen on a regular schedule. The 2026 landscape demands that you audit your campaigns regularly to trim the fat and redirect capital to new opportunities. We highly recommend standardizing your review process by following our comprehensive guide: How to Audit Your Own Amazon PPC Campaigns in 7 Steps. 

Competitor Conquesting and AI Tools 

As organic real estate shrinks, competitor targeting can help sellers win more category demand. Refer to Competitor Conquesting: How to Steal Sales via ASIN Targeting for the exact frameworks on building offensive campaigns. However, executing these adjustments manually across thousands of keywords is hard to manage at scale. 

Many advanced sellers use automated bid tools in 2026. For larger accounts, machine learning tools can help manage your intraday dayparting and bid adjustments. Explore our breakdown of the Best AI tools for Amazon advertising optimization to find the software stack that aligns with your enterprise volume. 

Optimizing for Amazon RUFUS and Persona Targeting 

One major PPC shift in 2026 is Amazon’s move toward AI-assisted product discovery through Rufus, an AI-driven “Answer Engine”. Rufus processes natural language questions (e.g., “What is the best running shoe for flat feet under $100?”) and provides conversational summaries before showing product grids. 

To compete in this environment, sellers should consider Persona Targeting. It is no longer just about bidding on “running shoes.” It is about ensuring your listing copy, A+ content, and backend search terms contain the semantic context that Rufus is looking for (e.g., specific demographic data, use-case scenarios, and problem-solving language). When your listing taxonomy matches the behavioral signals of the buyer persona, your ads may become more relevant to the right searches, which can support better CPC control. Discover the nuances of this shift in How to optimize for Amazon RUFUS. 

The Paid-Organic Flywheel 

Finally, one of the most useful advanced tactics is realizing that Amazon PPC does not work on its own. It can support organic growth when paid clicks lead to sales. Every time you win a highly competitive Exact Match auction and the shopper converts, Amazon’s A9 algorithm registers that your product is highly relevant for that keyword. 

Over time, this paid conversion history can help Amazon see the product as more relevant for that keyword. Once you achieve organic dominance, you can slowly taper off your aggressive PPC bids for that specific keyword, allowing the highly profitable organic sales to take over. This can help build a stronger brand with better long-term margins. Understand the mechanics of this relationship in our piece: How Amazon PPC ads Indirectly Support Your Organic Search Performance.

FAQ: Amazon Advertising Strategy

What is the biggest change to Amazon PPC strategy in 2026? The biggest shift is the move from pure keyword-based targeting to persona and signal-based targeting. With the rise of AI tools like Rufus and the expansion of the Amazon Marketing Cloud (AMC), advertisers must now focus on behavioral signals such as dayparting, competitor cart abandoners, and visual context, rather than simply bidding higher on exact match keywords.

How exactly does the “Onion Approach” save ad budget? The Onion Approach saves budget by preventing internal keyword cannibalization. By taking your highly profitable exact match keywords and applying them asnegative exact matches in your broader discovery campaigns, you force your broad campaigns to only spend money looking for new keyword variations, rather than wasting budget triggering ads for keywords you are already targeting successfully in your exact campaigns. 

Why shouldn’t I use the “Dynamic Bids – Up and Down” strategy on new campaigns? When a campaign is new, it lacks historical conversion data. If you use “Up and Down,” you are giving Amazon permission to double your bid based on its algorithmic predictions. Without a proventrack record, the algorithm will frequently double your bids on low-quality or irrelevant traffic, quickly increasing spend and hurting your ACoS before you have a chance to optimize. 

How many clicks without a saleindicatesa keyword is bad? You must base this on statistical significance tied to your target Cost Per Acquisition (CPA). However, a general rule of thumb in 2026 is that if a highly relevant keyword receives 15 to 20 clicks without a single conversion, your listing is failing to resonate with that specific search intent, and the keyword should be paused or negated. 

Is it better to lower a bid or add a negative keyword when a term is unprofitable? If the search term is highly relevant to your product but simply too expensive, you should lower the bid to see if it can become profitable at a lower CPC. If the search term is completely irrelevant to your product (e.g., someone searching for a plastic cup when you sell glass), you shouldimmediately add it as a negative keyword, as no bid price will make an irrelevant click profitable. 

What is dayparting, and why is it necessary? Dayparting is the practice of adjusting your bids or turning campaigns on/off at specific times of the day. It is necessary because conversion rates can change based on the hour. Many sellers find that early morning traffic consists of “window shoppers” who click butdon’t buy, while evening traffic has high purchase intent. Dayparting ensures your budget is concentrated during peak buying hours. 

Why is myACoSso low on my Brand Defense campaigns, but my overall sales aren’t growing? Brand Defense campaigns target shoppers who are already typing your brand name. These shoppers have incredibly high intent to buy your specific product, leading to a very low ACoS. However, these sales often lack “incrementality”, meaning the shopper likely would have found and purchased your organic listing anyway. To grow overall sales, you must allocate budget to generic, non-branded keywords to capture new customers, even if those campaigns operate at a higher ACoS. 

When should a seller start using Sponsored Display adsoff-Amazon? Off-Amazon Sponsored Display ads should generally be utilized only after a seller has completely maximized their profitable on-Amazon search real estate. If you are still running out of daily budget on your highly profitable exact match Sponsored Products campaigns, pulling money away to fund top-of-funnel off-Amazon display ads will decrease your overall immediate profitability. 

How does Amazon PPC improve my organic search ranking? Amazon’s A9 search algorithm ranks productslargely based on sales velocity and conversion history for specific keywords. When you pay for an ad on the keyword “blue yoga mat” and a customer buys it, Amazon’s algorithm registers that your product is highly relevant to that term. As you accumulate more paid sales for that keyword, Amazon will naturally promote your product higher in the free, organic search results. 

What metricsindicatethat my product listing is the problem, not my ad campaigns? If your campaigns have a high Click-Through Rate (CTR)—meaning shoppers are seeing the ad, liking the main image, and clicking—but a very low Conversion Rate (CVR), the ad is likely doing its job. The failure is on the listing. High CTR paired with low CVR indicates your pricing is uncompetitive, your reviews are poor, or your bullet points/A+ content are failing to convince the shopper to checkout.