Amazon PPC Guide for Beginners: How to Launch and Optimise Campaigns

Amazon PPC Made Clear

Amazon PPC is a pay-per-click advertising system that allows sellers to promote products across Amazon’s shopping results and product pages. Beginners should use automatic campaigns to discover relevant searches, manual campaigns to control proven targets, negative targeting to prevent waste, and profitability metrics such as ACoS and ROAS to guide optimisation.

This Amazon PPC guide explains how to create that system step by step. It is written for new and growing Amazon sellers who want to advertise more methodically instead of changing bids, keywords and budgets without sufficient evidence.

Key takeaways from Amazon PPC Guide Blog

• Definition: Amazon PPC allows advertisers to pay when shoppers click their sponsored advertisements.

• Main benefit: Amazon PPC can increase product visibility while producing search-term and conversion data.

• Important process: Use discovery campaigns to find opportunities and manual campaigns to control proven targets.

• Main risk: Poor targeting, weak listings and uncontrolled bids can generate clicks without enough profitable sales.

• Recommended next step: Build a simple campaign structure, review search-term data regularly and optimise according to product-level margins.

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What is Amazon PPC?

Amazon PPC is an auction-based advertising model in which an advertiser bids for visibility and normally pays when a shopper clicks the advertisement. Sponsored advertisements can appear in shopping results, product detail pages and other Amazon placements, depending on the campaign type and targeting settings.

Amazon describes its sponsored advertising solutions as self-service options designed to increase product and brand visibility. Advertisers can begin with flexible budgets rather than committing to one universal minimum spend.

What does PPC mean?

PPC stands for pay-per-click. The advertiser sets a bid representing how much they are prepared to pay for a click. The actual amount charged can depend on the ad auction, competition, targeting, placement and campaign settings.

A click is not the same as a sale. The product page must still convince the shopper through its images, title, price, reviews, offer and delivery proposition.

Amazon PPC can create visibility, but the product listing must convert that visibility into sales.

Understanding the Amazon PPC account hierarchy

An Amazon advertising account is usually organised into four levels:

1. Campaign: Controls settings such as the campaign budget, targeting method and bidding strategy.

2. Ad group: Organises related advertisements and targets within the campaign.

3. Advertised product: The ASIN or product promoted through the advertisement.

4. Keyword or product target: The search term, category or ASIN the advertiser wants to reach.

A clear hierarchy makes performance easier to interpret. When unrelated products and targets are mixed together, the seller may struggle to identify which product, keyword or bid is causing the result.

Which Amazon ad format should beginners use?

Sponsored Products are generally the most practical starting point for sellers who want to promote individual listings and generate sales-oriented campaign data.

Sponsored Products

Sponsored Products are cost-per-click advertisements promoting individual product listings. They can appear in shopping results and on product detail pages.

Sponsored Products support:

• Automatic targeting

• Manual keyword targeting

• Manual product targeting

• Negative targeting

• Placement controls

• Multiple bidding strategies

Amazon officially identifies automatic and manual targeting as the two targeting methods available for Sponsored Products. With automatic targeting, Amazon selects relevant products and shopping queries. With manual targeting, the advertiser chooses specific keywords or products and can set more granular bids.

Sponsored Brands

Sponsored Brands are designed to help eligible brands improve brand and product discovery through formats that may feature a logo, headline, video or multiple products.

Sponsored Brands can be useful when the goal extends beyond one immediate product sale. Amazon recommends considering new-to-brand measurements alongside ACoS and ROAS because customer acquisition activity can have a different cost profile from repeat purchases.

Factor	Sponsored Products	Sponsored Brands
Main focus	Individual product promotion	Brand and product discovery
Common use	Sales, visibility and target testing	Brand awareness and catalogue discovery
Beginner priority	Usually higher	Useful after the brand has a clear strategy
Targeting options	Automatic, keywords and products	Depends on the selected format
Measurement focus	Sales, ACoS, ROAS and conversion	Sales plus brand-discovery metrics

Automatic vs manual Amazon PPC targeting

Automatic and manual targeting solve different problems. Automatic targeting is primarily useful for discovery, while manual targeting provides greater control over selected keywords and products.

What is automatic targeting?

Automatic targeting allows Amazon to match a Sponsored Products advertisement with shopping queries and products based on the listing and related signals.

Amazon’s automatic targeting options can help sellers discover how customers search for the product and which product pages may produce engagement.

Automatic targeting is useful when:

• A product has limited advertising history

• The seller needs search-term data

• Keyword research is incomplete

• The seller wants to discover relevant ASIN targets

• A new product or variation is being tested

The limitation is that Amazon, rather than the advertiser, determines the initial targeting scope. Automatic campaigns therefore require monitoring and negative targeting.

What is manual targeting?

Manual targeting allows the advertiser to choose the keywords, products or categories that can trigger an advertisement and to control bids at a more detailed level.

Manual targeting is useful when:

• Search terms have already produced sales

• The seller has completed keyword research

• Different targets require different bids

• Competitor or complementary ASINs need to be tested

• The seller wants clearer performance segmentation

Automatic campaigns discover opportunities; manual campaigns give the advertiser greater control over those opportunities.

How keyword harvesting works

Keyword harvesting is the process of identifying effective customer search terms in discovery campaigns and transferring them into more controlled manual campaigns.

Amazon itself recommends reviewing automatic-campaign search-term reports, identifying terms generating clicks and conversions, and adding strong terms to manual keyword campaigns.

A practical keyword-harvesting process

1. Launch an automatic campaign.

   
   

   Use a dedicated campaign for the product so the resulting data remains easy to interpret.

2. Allow the campaign to gather meaningful data.

   
   

   Avoid judging a keyword after only a small number of impressions or one isolated click.

3. Download or review the search-term report.

   
   

   This report shows the shopping queries associated with advertising activity.

4. Identify relevant search terms producing the desired result.

   
   

   Assess sales, orders, conversion rate, ACoS, ROAS and product margin together.

5. Add strong terms to a manual campaign.

   
   

   Use the match type and bid that fit the amount of evidence available.

6. Control overlap when necessary.

   
   

   The seller may add a harvested term as a negative exact target in the original discovery campaign when the goal is to route that exact query into the manual campaign.

7. Continue discovery.

   
   

   Keep the automatic campaign active when it is still finding useful new queries and ASINs.

A negative exact target can help isolate an exact harvested query while allowing the discovery campaign to continue finding other variations. However, campaign isolation should not be treated as an inflexible rule. Sellers should consider whether the added complexity produces better decisions at their account size.

Understanding Amazon keyword match types

Amazon keyword match types control how closely a shopper’s query must relate to the advertiser’s selected keyword.

Match type	How it works	Best use	Main risk
Broad	May match a wider range of related shopping queries	Discovery and expansion	Irrelevant traffic
Phrase	Shopping query generally contains the selected phrase in the specified order, with possible words before or after	Controlled discovery	Can still attract weaker variations
Exact	Closely matches the selected keyword or permitted close variations	Scaling proven terms	Limited discovery

Amazon recommends using a mixture of broad, phrase and exact match types where they serve the campaign’s purpose. Negative targeting can then be used to refine reach.

Broad match

Broad match provides the widest discovery range. It can help identify customer language that was not included in the initial keyword research.

Broad match should normally be monitored carefully because high reach does not automatically mean high relevance.

Phrase match

Phrase match offers a balance between reach and control. It is useful when the seller wants variations around a commercially relevant phrase.

For example, a phrase-match keyword such as “stainless steel bottle” may help uncover longer, more specific shopping queries.

Exact match

Exact match is best suited to keywords with stronger evidence. It gives the seller tighter control over where budget is directed, although it does not guarantee impressions, clicks or sales.

Match types should reflect the role of the campaign: broad for discovery, phrase for controlled expansion and exact for proven intent.

How negative targeting reduces wasted spend

Negative targeting prevents advertisements from appearing for selected keywords, products or brands.

Amazon allows negative keywords to be added at campaign or ad-group level. Advertisers can also exclude product targets or brands when those placements are not relevant.

Negative targeting may be appropriate when:

• A search query is irrelevant to the product

• A term repeatedly receives clicks without acceptable results

• A keyword describes a different use, audience, size or material

• A product placement is poorly matched

• Traffic should be routed into another campaign

Example

Suppose a seller advertises premium leather office notebooks. The advertisement repeatedly receives clicks for “children’s drawing notebook”.

The seller could add the irrelevant phrase as a negative target after confirming that the product does not meet that intent.

Negative keywords should not be added simply because a term has one click and no sale. The seller should consider click volume, spend, conversion cycle, selling price and margin before deciding.

Negative targeting is most valuable when it removes clearly unsuitable or repeatedly inefficient traffic without blocking useful discovery.

How Amazon product targeting works

Product targeting allows Sponsored Products advertisers to target specific products, brands or categories instead of relying only on keywords.

Product targeting can reach shoppers who are already viewing products related to the advertiser’s offer.

Competitor product targeting

A seller may test competitor ASINs when the advertised product has a credible reason to be considered, such as:

• A different price position

• A stronger feature for a particular use

• A different pack size

• Better availability

• A distinctive design or material

• A more relevant customer segment

The product page must communicate the difference clearly. Targeting a weaker-rated competitor does not automatically make the advertised listing persuasive.

Complementary product targeting

Complementary targeting places the product near items that may be used with it.

Examples include:

• Coffee filters near coffee makers

• Laptop stands near laptops

• Replacement brush heads near electric toothbrushes

• Storage cases near electronic accessories

Defensive product targeting

Sellers can also target their own ASINs to encourage cross-selling or keep more of their product catalogue visible to shoppers.

However, advertising on an owned listing does not technically guarantee that all competitor placements will disappear. It should be treated as a brand-defence and cross-selling tactic rather than complete exclusion.

Amazon PPC bidding strategies

A bid is the maximum amount an advertiser is prepared to offer in an ad auction, subject to Amazon’s campaign settings and auction process.

Sponsored Products campaigns include bidding approaches such as:

Fixed bids

Amazon uses the advertiser’s submitted bid rather than changing it according to the predicted likelihood of conversion.

Fixed bidding can offer consistency, but it provides less automatic protection when a conversion appears less likely.

Dynamic bids — down only

Amazon may reduce the bid when a click appears less likely to convert.

This is often a cautious starting option for campaigns that are still gathering data because the system can lower bids in lower-probability situations.

Dynamic bids — up and down

Amazon can raise or lower bids based on the predicted likelihood of conversion.

Amazon provides this bidding option for both automatic and manual Sponsored Products campaigns.

Dynamic up-and-down bidding should be used deliberately. A campaign with poor targeting does not become profitable merely because bidding is more aggressive.

A bidding strategy should amplify a sound campaign, not compensate for weak targeting or an uncompetitive product page.

How to set Amazon PPC budgets and bids

There is no universal daily budget or bid that is suitable for every Amazon seller.

A sensible budget depends on:

• Product selling price

• Gross margin

• Conversion rate

• Category CPC

• Stock availability

• Launch stage

• Organic ranking goals

• Campaign objective

• Acceptable acquisition cost

• Number of products being advertised

Amazon states that advertisers can begin with flexible budget options.

A simple maximum-CPC framework

A seller can estimate a break-even CPC using:

Break-even CPC = conversion rate × profit available before advertising

Example:

• Selling price: ₹1,000

• Product contribution before ads: ₹300

• Conversion rate: 10%

Estimated break-even CPC:

10% × ₹300 = ₹30

This is a simplified planning model, not a guarantee. Returns, taxes, marketplace fees, coupons, logistics costs and attribution differences can change the true figure.

Do not treat Amazon’s suggested bid as a command

Suggested bids can provide auction context, but the final bid should also reflect:

• Product economics

• Existing conversion evidence

• Placement performance

• Campaign purpose

• Seller risk tolerance

Start from the amount the product can economically support, then increase or decrease bids based on observed results.

Amazon PPC metrics beginners should track

Campaign optimisation requires more than checking total sales.

Cost per click

CPC = advertising spend ÷ clicks

CPC shows the average amount paid for each advertising click.

Click-through rate

CTR = clicks ÷ impressions × 100

CTR indicates how frequently shoppers click after seeing the advertisement. A weak CTR may point to poor relevance, an uncompetitive main image, pricing issues or a mismatch between the target and listing.

Conversion rate

Conversion rate = orders ÷ clicks × 100

Conversion rate shows how effectively advertising traffic turns into orders.

Advertising cost of sales

ACoS = advertising spend ÷ ad-attributed sales × 100

Amazon defines ACoS as the percentage relationship between advertising spend and attributed advertising revenue.

For example, spending ₹2,000 to generate ₹10,000 in attributed sales produces a 20% ACoS.

Return on ad spend

ROAS = ad-attributed sales ÷ advertising spend

Spending ₹2,000 to generate ₹10,000 in attributed sales produces a ROAS of 5.

Amazon describes ACoS and ROAS as two ways of examining the relationship between advertising spend and attributed revenue.

What is a good Amazon ACoS?

A good ACoS is one that supports the seller’s objective and product economics.

The acceptable figure depends on:

• Gross margin

• Marketplace fees

• Fulfilment cost

• Returns

• Taxes

• Organic sales contribution

• Product lifecycle

• Customer repeat rate

• Launch or profitability objective

A 25% ACoS could be profitable for one product and unprofitable for another.

The correct ACoS target comes from product margins and business goals, not from a universal industry number.

Amazon also notes that Sponsored Products sales data may take time to populate. Recent campaign performance should therefore not always be judged immediately.

A simple Amazon PPC campaign structure

A beginner-friendly structure should separate discovery, performance and product targeting.

Campaign 1: Automatic discovery

Purpose: Discover shopping queries and product targets.

Recommended approach:

• One main product or tightly related variation group

• Automatic targeting

• Controlled initial bids

• Regular search-term review

• Negative targeting where supported by evidence

Campaign 2: Manual broad and phrase discovery

Purpose: Test researched keywords with more control.

Recommended approach:

• Closely related keywords

• Separate bids where necessary

• Broad and phrase match

• Search-term analysis

• Negative targeting for irrelevant queries

Campaign 3: Manual exact performance

Purpose: Give proven search terms dedicated bids and budgets.

Recommended approach:

• Exact-match keywords with conversion evidence

• Bids based on profitability and placement data

• Sufficient budget for important targets

• Regular review for changing performance

Campaign 4: Product targeting

Purpose: Test competitor, complementary and owned ASIN placements.

Recommended approach:

• Separate offensive and defensive goals when possible

• Group targets logically

• Evaluate ASIN-level results

• Remove targets that remain inefficient after sufficient data

Recommended naming format

Use a consistent format such as:

[Product][Ad type][Targeting][Match type][Objective]

Example:

SteelBottle_SP_Manual_Exact_Performance

A consistent system helps sellers filter reports and understand each campaign’s role.

Seven-step Amazon PPC optimisation routine

1. Check retail readiness

Confirm that the product is in stock, competitively presented and able to convert before increasing traffic.

Review:

• Main image

• Title

• Bullet points

• Price

• Reviews

• Offer or coupon

• Delivery promise

• Product variations

2. Review budget utilisation

Identify campaigns that run out of budget and determine whether the lost traffic is profitable enough to justify a budget increase.

Do not increase budgets solely because Amazon recommends it.

3. Analyse search terms

Look for:

• Converting search terms

• Irrelevant terms

• High-spend terms without acceptable returns

• Long-tail opportunities

• New product-targeting opportunities

4. Harvest proven targets

Move valuable customer search terms into controlled manual campaigns where appropriate.

5. Add negatives carefully

Exclude irrelevant or repeatedly inefficient traffic after considering the amount of available data.

6. Adjust bids

Increase bids when a profitable target needs more visibility. Reduce bids when spend is too high relative to the target’s value.

7. Evaluate the entire product

If many relevant targets receive clicks but few convert, the problem may be the product page, pricing, reviews or offer rather than the targeting alone.

Amazon’s campaign reports can change as invalid clicks and cancelled purchases are processed, so optimisation should consider reporting context and not rely on one momentary figure.

Common Amazon PPC mistakes

1. Launching ads before optimising the listing

Advertising sends traffic; it does not repair unclear images, weak positioning or an uncompetitive offer.

2. Using one campaign for unrelated products

Mixing products makes keyword and conversion data harder to interpret.

3. Treating automatic campaigns as “set and forget”

Automatic targeting still needs bid, budget, search-term and negative-targeting reviews.

4. Adding too many negatives too early

Premature exclusions can block queries before enough evidence is available.

5. Moving every converting term into exact match

One sale may not prove that a query deserves aggressive scaling. Consider repeatability and margin.

6. Evaluating only ACoS

ACoS is important, but sellers should also examine sales volume, conversion rate, CPC, stock, total profitability and organic sales behaviour.

7. Increasing bids without improving the product page

Higher bids may buy more traffic while making the same conversion problem more expensive.

8. Optimising campaigns every day without enough data

Frequent changes can make it difficult to understand which action affected performance.

9. Using the same target ACoS for every product

Products have different prices, margins, fees, repeat-purchase potential and growth priorities.

10. Scaling a campaign that cannot remain in stock

Advertising should be coordinated with inventory planning. Running out of stock can interrupt sales momentum and waste launch effort.

Frequently asked questions

What is Amazon PPC?

Amazon PPC is an advertising model in which sellers and brands bid for sponsored visibility and generally pay when a shopper clicks their advertisement. Sponsored Products can use automatic targeting, manual keyword targeting or manual product targeting. Campaign results are measured through metrics including clicks, sales, CPC, ACoS and ROAS.

How does Amazon PPC work?

Amazon PPC works through an ad auction. The advertiser chooses a product, targeting method, bid, budget and bidding strategy. Amazon then determines which eligible advertisements can appear for a shopping query or product placement. When shoppers click and purchase, attributed activity is reported in Campaign Manager and advertising reports.

Is automatic or manual targeting better for Amazon PPC?

Neither targeting method is universally better. Automatic targeting is useful for discovering shopping queries and product opportunities, while manual targeting gives the advertiser greater control over selected keywords, products and bids. A structured Amazon PPC account often uses both methods for different purposes.

How much should a beginner spend on Amazon PPC?

A beginner should choose a budget that can collect useful data without exceeding the product’s financial limits. The right amount depends on selling price, margin, expected CPC, conversion rate, inventory and campaign objective. Sellers should calculate how much contribution is available before advertising instead of copying a universal daily budget.

What is a good ACoS for Amazon PPC?

A good Amazon ACoS is an ACoS that supports the product’s margin and campaign objective. Sellers should calculate the maximum sustainable ACoS after considering cost of goods, Amazon fees, fulfilment, discounts, returns and taxes. Launch campaigns may tolerate a different ACoS from mature profitability campaigns.

How often should Amazon PPC campaigns be optimised?

Amazon PPC campaigns should be monitored regularly but changed only when enough data supports a decision. Budget issues and severe irrelevance may require quicker action, while bid and keyword decisions usually need sufficient clicks, spend and conversion evidence. Sellers should also account for reporting delays before judging very recent results.

What is the difference between a keyword and a search term?

A keyword is the target selected by the advertiser, while a search term is the actual query entered by the shopper. One broad- or phrase-match keyword may trigger several different search terms. The search-term report helps advertisers identify which customer queries are relevant, profitable or unsuitable.

Can Amazon PPC work without reviews?

Amazon PPC can generate impressions and clicks for products with limited reviews, but conversion may be more difficult when competing listings have stronger ratings, review volume or trust signals. Sellers should set realistic expectations, optimise the listing and use advertising data to improve targeting rather than assuming traffic will automatically create profitable sales.

What is the difference between keyword targeting and product targeting?

Keyword targeting reaches shoppers according to their search queries, while product targeting places advertisements against selected products, brands or categories. Keyword targeting is useful for capturing expressed search intent. Product targeting is useful for competitor comparison, complementary-product discovery and cross-selling across a seller’s own catalogue.

Conclusion: Build an Amazon PPC system, not isolated campaigns

Effective Amazon PPC management follows a repeatable cycle:

1. Discover relevant searches and products.

2. Measure which targets produce commercially useful results.

3. Move proven opportunities into controlled campaigns.

4. Exclude unsuitable traffic.

5. Adjust bids and budgets according to product economics.

6. Improve the listing when relevant traffic does not convert.

7. Scale only after performance becomes repeatable.

Amazon advertising should not be managed through random bid changes or one universal target ACoS. Each campaign needs a defined role, and every optimisation decision should connect advertising data with product margins, inventory and business objectives.

If you are an Amazon seller in India spending ₹25,000 or more per month on advertising and want to identify wasted spend, weak campaign structure or missed scaling opportunities, contact SellerScale for an Amazon PPC account audit.