Przejdź do treści
Case study: from zero to €1.5M in monthly Amazon sales See how we did it →
Amazonway

Guide · chapter 06 / 08

Amazon PPC and Amazon Ads: how campaigns work

Daniel Pawłowski · Amazonway · 38 min read

Table of contents
  1. Why Amazon PPC advertising is key
  2. What Amazon Ads is and how the advertising system works
  3. Types of Amazon PPC campaigns
  4. Automatic vs manual campaigns
  5. Amazon PPC campaign structure: how to do it right from the start
  6. How to set up your first Amazon PPC campaign step by step
  7. Keywords in Amazon PPC: how to choose phrases and protect your budget
  8. How to measure Amazon Ads campaign effectiveness
  9. Optimizing Amazon PPC campaigns: what to do after launch
  10. How Amazon PPC supports Amazon SEO
  11. Ad budget and costs on Amazon: how much does it really cost
  12. The most common Amazon PPC mistakes
  13. How to use AI in Amazon PPC
  14. Amazon PPC launch scenarios
  15. FAQ: the most common questions about Amazon PPC
Amazon PPC advertising

Why Amazon PPC advertising is key

A few years ago you could enter Amazon with a good product, a sensible price and count on sales “taking off on their own”. Today this scenario works less and less often. Competition is greater, logistics and advertising costs are higher, and Amazon much faster rewards offers that generate real sales and data.

PPC ads have become key not because Amazon wants to earn more from advertisers, but because they are the simplest way to give the algorithm the signals it needs to assess a new or growing offer.

Why it is hard to launch on Amazon without ads today

A new product on Amazon has very little data at the start. The algorithm does not yet know:

  • how well the offer converts,
  • which phrases it should appear for,
  • whether users actually buy after entering the listing.

Without ads, the “learning” process is slow and often random. PPC lets you speed this up, directing traffic exactly where you want and gathering data that usually would not exist without paid exposure. In practice this means ads are often the only real way out of the “invisible product” stage.

The role of PPC in gaining first sales and data

First sales on Amazon matter not only financially. They build:

  • a sales history,
  • first reviews,
  • data on conversion and user behaviour.

PPC ads let you generate these sales faster and in a controlled way. Thanks to them we see which phrases sell, which only generate clicks and where the offer actually loses — on price, photos or communication. Without PPC this information takes months to gather, and often never comes at all.

PPC as an accelerator of SEO and organic rankings

Amazon PPC does not work in a vacuum. Well-run ad campaigns have a direct impact on organic visibility, though not in a “magical” way. Ads do not raise positions automatically, but they help the algorithm understand faster which queries a given offer should appear for.

If users click the ad, buy the product and do not return it en masse, Amazon gets a clear signal that the offer matches the buying intent. That is why PPC often acts as an SEO accelerator, especially for new products or entering a new market.

Effective selling on Amazon relies less and less on the choice “SEO or ads”. In practice the sellers who win are those who treat PPC and SEO as one coherent system.

What Amazon Ads is and how the advertising system works

Amazon Ads is Amazon’s internal advertising system, whose goal is not to generate traffic “for traffic’s sake”, but to maximise sales on the platform. This is a key difference compared with Google Ads or Meta Ads. Amazon does not sell the user’s attention: it sells access to a customer who is already in buying mode.

For the seller this means one thing: Amazon Ads work best when they are embedded in a real buying process, not treated as a classic marketing campaign.

What Amazon Ads is in practice

Amazon Ads is the collective name for the ad formats that let you promote products and brands directly on Amazon. These ads appear, among other places:

  • in search results,
  • on product pages (your own and competitors’),
  • in recommendation sections,
  • in the Amazon ecosystem outside the marketplace (for selected formats).

The most important thing, however, is that Amazon Ads are closely tied to product offers, not to abstract creatives or landing pages. An ad always leads to a specific product or set of products.

Where Amazon PPC ads appear

From the user’s perspective, Amazon PPC ads are often almost indistinguishable from organic results. And that is no accident. Amazon deliberately integrates ads into the natural buying flow so as not to disrupt the user experience.

The most common ad placements are:

  • the top and middle of the search results,
  • product pages (the “Sponsored products related to this item” section),
  • competitors’ listings,
  • category pages.

For the seller this means ads do not compete for the user’s attention, but compete directly with other offers, often very similar in price and function.

The CPC model and the ad auction: what really decides impressions

Amazon Ads works on a CPC (cost per click) model, meaning we pay only when a user clicks the ad. The impression itself generates no cost. But that is only a surface description of the mechanism.

In practice three main factors decide whether an ad appears:

  • the CPC bid,
  • the ad’s relevance to the query,
  • the offer’s quality (including conversion, sales history, availability).

This matters, because it means the highest bid does not always win the auction. Amazon has an interest in the user buying the product, not just clicking the ad. That is why offers that convert well and match the query can often win auctions at a lower cost per click.

Why Amazon Ads works differently from Google Ads and Meta Ads

Although at the interface level Amazon Ads may resemble other ad systems, its operating logic is completely different. Google and Meta focus on informational or entertainment intent, which is only later turned into sales. Amazon starts exactly where other platforms end.

An Amazon user:

  • looks for a product, not inspiration,
  • compares offers, not brands,
  • makes a buying decision faster and more rationally.

That is why Amazon PPC ads are closer to sales than to classic marketing. A well-set campaign does not have to “convince” the user, only show them the right offer at the right moment.

Understanding this difference is key. Without it, it is easy to transfer bad habits from Google Ads or Meta Ads and treat Amazon PPC as just another performance channel. In practice Amazon Ads is more a sales tool than a marketing one, and that is exactly where its strength lies.

Types of Amazon PPC campaigns

Amazon Ads offers several campaign types, but in practice not all are needed at every sales stage. One of the most common mistakes is trying to launch everything at once, without understanding what goal a given format serves and what data it can provide.

In this chapter we show how the individual Amazon PPC campaign types differ and when they actually make sense.

Sponsored Products: the foundation of selling on Amazon

Sponsored Products is the most important and most commonly used ad format on Amazon. It promotes specific product offers and displays them in search results and on product pages.

It is worth starting with Sponsored Products, because they:

  • lead directly to sales,
  • generate data on phrases and user behaviour,
  • have the greatest impact on offer visibility.

In practice most sales from Amazon PPC come from this format. Sponsored Products work well both for launching a new product and for scaling bestsellers or defending your own listings against the competition.

Sponsored Brands: building brand visibility

Sponsored Brands is a format that promotes the brand rather than a single product. These ads usually appear at the top of the search results and lead to:

  • the Brand Store,
  • a page with selected products,
  • a dedicated landing page on Amazon.

This campaign type makes sense when:

  • you sell under your own brand,
  • you have several related products,
  • you care about increasing recognition and control over the buying path.

For beginner sellers Sponsored Brands are often not a priority. Without a coherent brand and a sensible product portfolio it is hard to squeeze real sales value out of them.

Sponsored Display: remarketing and competition

Sponsored Display is the most flexible, but also the most “marketing” format in Amazon Ads. It lets you show ads:

  • to users who previously viewed products,
  • on competitors’ product pages,
  • outside Amazon, within the Amazon ecosystem.

This format works best as a supplement, not a starting point. It is especially useful for:

  • remarketing,
  • defending listings against customer poaching,
  • strengthening brand visibility with a larger budget.

For new accounts Sponsored Display is often too costly and hard to control. Without solid data and stable conversion it is easy to burn budget here.

Which campaigns to choose at the start and which later

For most sellers the optimal order looks as follows:

  • start with Sponsored Products,
  • stabilise sales and the campaign structure,
  • gradually introduce Sponsored Brands,
  • complement the effort with Sponsored Display campaigns.

This approach lets you first build a base of data and sales, and only later invest in formats that require greater account maturity and budget.

Amazon PPC is not about using all available tools, but about consciously choosing those that support the current stage of sales development. The better we understand that stage, the easier it is to avoid chaos and unnecessary costs.

Automatic vs manual campaigns

One of the first choices when launching Amazon PPC ads is deciding whether to start with automatic or manual campaigns. In practice this question is badly framed. The best results come from combining both types, provided each has a clearly defined role.

Amazon designed these campaigns not as alternatives, but as tools for different stages of working with data and sales.

How an automatic campaign works

In an automatic campaign, Amazon decides which queries and competitor products to show the ad for. The algorithm analyses the listing, category, sales history and user behaviour and chooses the targeting itself.

For the seller this means one thing: an automatic campaign is above all a data-gathering tool. It shows:

  • which phrases the product actually sells for,
  • which queries generate clicks without sales,
  • in what context competing offers take over the traffic.

This is not a campaign meant to be perfectly profitable from day one. Its job is to provide information that cannot be obtained any other way, especially at the start.

What a manual campaign is for

A manual campaign gives full control over where and for which queries the ad appears. Here we decide:

  • which keywords are targeted,
  • in which match type (broad, phrase, exact),
  • which competitor products we want to attack or avoid.

Manuals are the basis of scaling and optimization. It is in them that you:

  • build stable sales,
  • control costs,
  • cut unprofitable queries.

In practice manual campaigns account for the largest part of profitable PPC sales, provided they are based on data, not guesswork.

Why it is best to combine both campaign types

Automatics and manuals serve different functions. Automatics discover potential, manuals use it. When we try to use only one campaign type, problems usually appear:

  • automatics alone lead to a lack of cost control,
  • manuals alone limit growth and scale.

The most common and healthiest working model is one where the automatic campaign acts as a research back office, and effective phrases are gradually moved to manual campaigns, where they can be managed precisely.

The most common mistakes when choosing a campaign type

Many sellers give up on automatic campaigns too quickly, deeming them “unprofitable”. The problem is that they judge them by the wrong criteria. Automatics do not always have a low ACOS, but they often provide key data without which manuals will not work well.

The other extreme mistake is leaving everything to automatics without further work. That is the simplest road to burning budget and having no real control over scaling.

Amazon PPC is not about choosing one “better” campaign type. It is about understanding when a given campaign should earn and when it should learn. Only such an approach lets you build a stable and predictable advertising system.

Amazon PPC campaign structure: how to do it right from the start

A good Amazon PPC campaign structure is not an add-on or cosmetics. It is the foundation that decides whether campaigns can later be optimized, scaled and genuinely assessed for profitability. A badly designed structure very quickly leads to chaos in the data and decisions made “by feel”.

Amazon gives great freedom in building campaigns, but that does not mean every structure makes sense. Quite the opposite: the simpler and more logical the structure at the start, the better it works in the long term.

Campaign → Ad Group → keywords and targeting

The basic hierarchy in Amazon Ads is always the same: campaign, ad group and targeting. In practice this means:

  • the campaign should be responsible for the goal and budget,
  • the ad group organises products and the targeting type,
  • keywords and competitor ASINs are the lowest level of control.

Many sellers’ mistake is mixing these levels. When different goals, products and traffic types are in one campaign, you very quickly lose control over costs and results analysis.

One SKU or many SKUs in one campaign

At the start it is best to adopt a simple rule: one campaign — one product or a very narrow group of variants. This makes it easier to:

  • assess real profitability,
  • adjust bids,
  • understand what actually works.

Combining many inconsistent products in one campaign may look like a time saver at first glance, but in practice it hinders analysis and leads to unnecessary compromises. Scaling such a structure is later costly and time-consuming.

Match types: broad, phrase and exact — when and why

Keyword match types decide how broadly Amazon interprets user queries. Each has a different use and they should not be treated interchangeably.

Broad serves to discover new queries and test potential. Phrase lets you narrow the traffic while keeping flexibility. Exact gives the greatest control and cost stability. The best structures separate these match types into distinct ad groups or even campaigns, which lets you steer bids and budget precisely.

How not to “kill” a campaign with a bad structure

The most common problem is not a lack of knowledge about the tools, but too much complexity at the start. Creating elaborate structures without data leads to a situation where:

  • campaigns do not gather enough clicks,
  • optimization is based on guesswork,
  • decisions are delayed or wrong.

A good Amazon PPC campaign structure should be simple enough to quickly generate data, and flexible enough to be developed as sales grow. In practice it is better to start with a simple model and expand it consciously than to create a complicated system from the start that never begins to work as it should.

How to set up your first Amazon PPC campaign step by step

A first Amazon PPC campaign rarely decides sales success, but it very often decides whether the budget will be used sensibly. That is why the goal should not be a “perfect setup”, but a safe start that lets you gather data and does not discourage further work with ads.

Below we describe a process that works both for new accounts and for first campaigns on a new market.

What to prepare before launching a campaign

Before you launch any ads, make sure the listing can handle paid traffic. Ads will not fix basic problems, only reveal them.

At the start, the key things are:

  • a correctly prepared title and main photo,
  • a clear price and product availability,
  • Prime or fast, predictable shipping,
  • a complete set of basic information on the product page.

If the listing does not convert organic traffic, there is no reason to expect it will start converting paid traffic.

Choosing a product to advertise

Not every product is suitable for a PPC start. It is best to choose an offer that:

  • has a sensible margin,
  • is price-competitive in its category,
  • has no serious presentation gaps.

A common mistake is advertising the whole catalogue at once. It is much better to choose one or two products and focus on them, instead of scattering budget and attention.

Daily budget: how much to set at the start

The starting budget does not have to be high, but it must be enough for the campaign to actually “learn”. Too low a budget leads to a situation where ads appear sporadically and the data is random.

In practice it is better to set a budget that lets you gather a dozen or several dozen clicks a day than to limit the campaign to a few clicks and draw hasty conclusions. Amazon PPC is a data-based system, and data requires volume.

CPC bids: how not to burn budget

At the start there is no point fighting for the highest positions. It is better to start with moderate bids and observe where the ads appear and how users behave.

It is important to:

  • not set extremely low bids that block impressions,
  • not bid aggressively without conversion data,
  • give the campaign time to gather the first signals.

PPC on Amazon rarely works well in “set it and forget it” mode, especially at the start.

The first days of the campaign: what to expect

The first days of a campaign are mainly for observation. Results may be unstable and costs seemingly high. That is normal. The biggest mistake is switching the campaign off too quickly or nervously changing settings after a few clicks.

Only after a few days and with enough data can you start drawing conclusions and planning next steps. Amazon PPC rewards patience and consistency, not impulsive decisions.

Keywords in Amazon PPC: how to choose phrases and protect your budget

Keywords are the point where Amazon PPC ads most often start to “leak”. Not because they are technically badly chosen, but because they do not stem from real buying data. Amazon PPC does not reward creativity in choosing phrases, only precision and understanding of user intent.

That is why working with keywords in ads should be closely tied to how users actually search for products, both organically and in paid results.

Where to get keywords for Amazon PPC

The worst possible source of phrases for a PPC campaign is guesswork. The best is data. In practice it pays to rely on three main sources:

  • reports from automatic campaigns,
  • data from Amazon search (search terms),
  • analysis of competing offers.

If keyword research on Amazon is not yet well organised, it pays to start with solid foundations. We describe exactly this process in a separate article: 👉 Amazon SEO and keyword research: how to find and use keywords

That material complements the PPC work well, because the same phrases very often work simultaneously in SEO and ads.

The role of keyword research in PPC campaigns

Amazon PPC is not about having as many keywords as possible, but about having the right keywords at the right stage. General phrases help gather data and build reach, but it is precise phrases that most often account for sales.

Well-designed keyword research lets you:

  • separate informational phrases from strictly buying ones,
  • understand where the user compares and where they buy,
  • set different bids depending on intent.

Without this, PPC campaigns very quickly turn into a click generator with no real sales.

Automatic campaigns as a source of selling phrases

Automatic campaigns act as a “sonar” in PPC. They show which queries Amazon itself decides to display the offer for and which of them end in a sale.

What matters is what we do with this data next. Phrases that generate sales should be:

  • moved to manual campaigns,
  • set in exact or phrase match,
  • put under separate bid and budget control.

This process closes the loop: automatics gather data, manuals earn.

Negative keywords: how to protect your ad budget

Negative keywords are one of the most underrated elements of Amazon PPC. Without them, even well-chosen phrases can generate costly, unnecessary traffic.

Negative phrases let you:

  • cut queries not matching the offer,
  • block purely informational traffic,
  • protect the budget from clicks without buying intent.

This matters especially at the start, when every euro spent on ads should provide data or sales. A lack of work with negatives is one of the most common reasons PPC “does not work”, even though the campaigns are technically set up correctly.

PPC and SEO: one keyword ecosystem

Keywords should not live in two separate worlds: SEO and PPC. Ad data very often shows which phrases actually sell before the listing manages to rank for them organically.

So when working on the offer it pays to combine:

  • PPC campaign data,
  • the listing structure,
  • content optimization for SEO.

If you are only just building your whole Amazon business, a sensible next step is to look at the listing and SEO as the foundation, and PPC as a tool that accelerates the effects: 👉 How to list a product and optimize your offer on Amazon

How to measure Amazon Ads campaign effectiveness

One of the biggest problems in Amazon PPC is not a lack of data, but the wrong interpretation of data. Amazon provides dozens of metrics, but without context it is easy to draw wrong conclusions and make decisions that harm sales in the long run.

Amazon Ads effectiveness is not about “nice numbers in the panel”, but about whether the ads genuinely support business goals: sales, scaling and profitability.

The most important Amazon PPC metrics: what to actually measure

Amazon Ads provides many indicators, but in practice a few of them are of key importance.

ACOS (Advertising Cost of Sales) shows what percentage of revenue the ad consumes. It is one of the most frequently analysed metrics, but also one of the most often misunderstood. A low ACOS does not always mean success, and a high one does not always mean a problem: it all depends on the sales stage and margin.

ROAS (Return on Ad Spend) is the inverse of ACOS and is sometimes more convenient for reporting, especially when ads are analysed alongside other channels. On its own, however, it also does not give the full picture.

CTR (Click Through Rate) helps assess whether the ad is relevant to the query. A low CTR often means a problem with keyword selection or with the offer, not necessarily with the budget.

The conversion rate (CVR) shows what happens after a click. If the ad generates traffic but not sales, the problem usually lies with the listing, price or logistics, not the campaign itself.

That is exactly why PPC analysis very quickly leads to conclusions that go beyond ads.

When a campaign is “healthy” and when it is not

A healthy campaign is not one that always has a low ACOS, but one that:

  • achieves a clearly defined goal,
  • provides predictable results,
  • can be optimized based on data.

A campaign is problematic when it:

  • generates clicks without sales for a long time,
  • “eats” budget with no impact on visibility and SEO,
  • cannot be clearly defined in terms of why it runs at all.

In practice many campaigns are neither good nor bad: they are simply badly judged, because they are viewed through the wrong lens.

Why ACOS is not enough to assess ads

ACOS shows the cost-revenue relationship, but does not show the ads’ impact on the account’s total sales. That is why, when scaling, TACOS becomes increasingly important, i.e. ad cost relative to total sales (paid and organic).

If PPC campaigns support SEO, increase organic sales and improve offer positions, then even a higher ACOS can make business sense. Especially for new products or entering a new EU market.

In this context, ads must be analysed together with other sales elements, such as logistics or Prime availability. If you want to better understand how these elements connect, it pays to look at: 👉 Amazon logistics: FBA, FBM, EFN, Pan-EU

How to interpret data, not just look at it

Numbers alone mean little without context. So when analysing campaigns it always pays to ask yourself:

  • what was the goal of this campaign,
  • at what stage of the product life cycle does it run,
  • does it support short-term sales or long-term visibility.

Only such an approach lets you distinguish campaigns that genuinely “do not work” from those that simply have not yet had time to do their job.

If you feel the ads generate costs but their impact on sales is hard to assess, the problem is often not the campaigns themselves, but a lack of a holistic view of the data.

In such situations a sensible step is often an audit of the advertising and sales account, which puts the metrics and goals in order: contact us.

Optimizing Amazon PPC campaigns: what to do after launch

Launching an Amazon PPC campaign is only the beginning of the work, not its end. In practice results are decided by what we do with the campaign after gathering the first data. Without optimization, even a well-set structure starts to lose effectiveness, and the budget gradually blurs.

PPC optimization is not about daily “knob turning”, but about regular, thought-through decisions based on data.

How often to optimize campaigns

One of the most common mistakes is making changes too often. Amazon Ads needs time to react to bid or structure modifications. On the other hand, a complete lack of reaction also leads to problems.

In practice:

  • at the start, analysis every few days is enough,
  • after sales stabilise, once a week,
  • with large budgets and scale, according to a set rhythm (e.g. weekly cycles).

The key is for every change to have a concrete reason, rather than being a reaction to a single day of weaker results.

What to switch off and what to scale

Optimization starts with tidying up. Phrases and targeting that generate clicks without sales for a long time usually will not improve “on their own”. In such cases it pays to:

  • lower bids,
  • add negative keywords,
  • or switch them off entirely.

On the other hand, phrases that sell steadily should be scaled gradually, by raising bids or budget. It is important to do this in a controlled way, watching the impact on margin and product availability.

Moving phrases from automatic to manual

This is one of the most important processes in Amazon PPC. Automatic campaigns discover potential, but it is manual campaigns that let you use it.

If a given phrase:

  • generates sales,
  • has a sensible cost,
  • is repeatable,

it should go into a manual campaign, ideally in exact or phrase match. At the same time it pays to exclude it from the automatic campaign, to avoid campaigns competing with each other.

This process directly connects PPC with SEO and offer optimization. Phrases that sell in ads are very often worth using in the listing content too. If you want to organise this area, the article will help: 👉 How to list a product and optimize your offer on Amazon

When to raise the budget and when to cut it

Raising the budget only makes sense when the campaign:

  • is profitable or achieves a clearly defined goal (e.g. a launch),
  • is not limited by a low number of impressions,
  • has stable conversion.

Cutting the budget can be necessary when a campaign generates costs with no impact on the account’s total sales. It is worth distinguishing strictly sales campaigns from those that support SEO and visibility.

In this context PPC connects very strongly with the whole Amazon sales strategy, from the choice of market to tax and operational matters. When scaling across many EU markets it is especially important that ads are synchronised with the operational back office: 👉 VAT, OSS and EPR on Amazon in the EU

Optimization as a process, not a one-off action

The best-performing Amazon Ads accounts are not those that had a “perfect start”, but those that are regularly optimized and adjusted to changing conditions: competition, prices, seasonality and product availability.

Amazon PPC is an ongoing process. Campaigns that work well today may need adjustment in a few months. The sooner you adopt this approach, the easier it will be to scale sales without chaos and sudden cost jumps.

How Amazon PPC supports Amazon SEO

The relationship between Amazon PPC ads and organic positions is one of the most discussed topics among sellers. On one hand you often hear that “ads have no impact on SEO”, on the other that “you cannot rank a product today without PPC”. The truth lies in the middle, and it is worth understanding well, because it determines how campaigns are run.

Amazon PPC is not a magic switch that automatically raises an offer in organic results. It is, however, a tool that speeds up the process of feeding the algorithm the data it needs to assess the offer.

Which signals the algorithm takes into account

Amazon assesses offers based on many factors, but the key ones are:

  • the match to the user’s query,
  • the conversion rate,
  • the pace and stability of sales,
  • product availability and order fulfilment quality.

PPC ads affect some of these signals indirectly. By directing traffic to a specific offer, they help check how users react to the product in a given search context. If clicks end in sales, the algorithm “learns” faster that the offer is relevant.

PPC as a tool for testing phrases

One of PPC’s biggest practical advantages is the ability to test keywords in real conditions. In SEO you often wait weeks or months to see the effects of listing changes. Ads let you check a phrase’s potential almost immediately.

Phrases that:

  • generate sales in PPC campaigns,
  • have a sensible cost,
  • recur in the data,

are very good candidates for reinforcement in the listing content. This way PPC and SEO begin to work as one system, not two independent channels.

Why PPC helps new products “appear” faster

A new product without a sales history is a big unknown for the algorithm. Even a well-prepared listing may fail to gain organic visibility for a long time if it does not generate sales.

PPC lets you shorten this stage by providing:

  • first clicks,
  • first sales,
  • first data on user behaviour.

This lets Amazon classify the offer faster and assign it to the right queries. It does not guarantee high positions, but it significantly increases the chances of breaking through in competitive categories.

The most common mistakes in combining PPC and SEO

The biggest mistake is treating PPC as a substitute for SEO or vice versa. Ads will not replace a weak listing, and content optimization alone is not enough in crowded search results.

The second common problem is a lack of data flow. If phrases that sell in PPC are not used in SEO, the ads’ potential is wasted. Conversely, optimizing a listing for phrases that do not convert in ads often leads to false conclusions.

PPC and SEO as one process

Effective selling on Amazon relies less and less on single actions. PPC and SEO are elements of the same process: building visibility, sales and data.

Ads speed up gathering information and testing assumptions, while SEO lets you scale the effects without a proportional increase in budget. Only combining both approaches gives stable and predictable results.

Ad budget and costs on Amazon: how much does it really cost

One of the first questions with Amazon PPC is: “how much do you have to spend for it to make sense?”. The answer is not binary, but you can set reasonable boundaries that protect against burning budget and unrealistic expectations.

Ad costs on Amazon do not result from the platform’s whim. They are the product of competition, category, product price and offer quality. The sooner we understand this, the easier it is to plan a budget in a way that supports sales rather than burdening them.

How much Amazon ads cost in practice

Amazon works on an auction model, so the cost per click can differ significantly even within the same category. In some segments clicks cost cents, in others a few euros. The differences result mainly from:

  • the number of active advertisers,
  • the value of the shopping basket,
  • the level of price competition,
  • seasonality.

Instead of asking “how much does a click cost”, it is better to ask: how much does acquiring a sale cost, because that metric decides a campaign’s profitability.

How to plan the budget for the start

The starting budget should be enough for the campaign to gather data. Too low a budget makes ads appear randomly, and conclusions carry a large margin of error.

In practice it is better to plan a budget that:

  • lets you gather a few hundred clicks over a few weeks,
  • does not threaten financial liquidity,
  • is treated as an investment in data, not solely in sales.

At this stage the goal is not a perfect ACOS, but understanding which phrases and products have the potential for further scaling.

Cost differences between categories

Not all Amazon categories are equally costly to advertise in. High-competition, high-demand products usually require larger budgets, especially at the start. Niche categories, in turn, often let you test PPC at a lower cost, but also offer smaller scale.

That is why budget planning should always account for:

  • the average product price,
  • the margin,
  • the expected sales volume.

Without this, even “cheap” clicks can prove expensive across the whole business.

Why a cheap ACOS is not always good

A low ACOS often looks good in reports, but does not always mean the campaign works optimally. Very conservative campaigns can generate sales but at the same time limit scale and visibility.

On the other hand, overly aggressive campaigns can increase sales but at the cost of margin. The key is finding a balance between profitability and growth, instead of focusing on a single metric.

Costs as an element of strategy, not a problem to “cut”

Amazon PPC ads are a cost only when they support no goal. If they help build sales, test the market or strengthen SEO, they become an element of strategy, not a burden.

The best advertising accounts do not aim to minimise spending, but to achieve controlled growth, in which costs are predictable and justified by data.

The most common Amazon PPC mistakes

Most Amazon PPC problems come not from a lack of tools or technical knowledge, but from wrong assumptions at the start. Ads are often treated as a quick fix for sales problems, and in practice they only reveal them. Below we describe the mistakes we see most often on sellers’ accounts, both beginners and the more experienced.

Advertising a weak or unfinished listing

This is the most common and at the same time most expensive mistake. Ads direct traffic to an offer that is not ready to sell. Poor photos, an unclear title, missing key information or an uncompetitive price mean clicks do not turn into orders.

In such a situation the problem is not PPC, but the sales foundation. Ads will not improve conversion: they only test it. If the result is poor, it is a signal to work on the offer, not to “turn” bids.

No negative keywords

Many sellers focus solely on adding new phrases, forgetting to cut those with no sales sense. A lack of work with negative keywords leads to a situation where the budget is gradually “eaten” by informational or mismatched queries.

Negative phrases are one of the simplest ways to improve campaign effectiveness without raising the budget. Their absence almost always means unnecessary costs.

Scaling campaigns without margin control

The sight of rising PPC sales can be very tempting. The problem begins when volume growth does not go hand in hand with margin analysis. It happens that campaigns generate sales but actually lower the whole business’s profitability.

Amazon PPC requires thinking not only in terms of revenue but also costs: ads, logistics, commissions and taxes. Without this it is easy to fall into the “we sell more, earn less” trap.

Switching campaigns off too quickly

One of the most destructive habits is judging a campaign after a few clicks or one weaker day. Amazon Ads needs data for a campaign to start working predictably. Switching a campaign off too quickly means the algorithm’s learning process is constantly interrupted.

Of course, not every campaign makes sense, but the decision to switch it off should result from data analysis over an appropriate time horizon, not from emotion.

Treating PPC as the only source of sales

PPC is sometimes treated as the main sales engine meant to “replace” SEO, a good offer or a pricing strategy. This is a short-term and risky approach. Ads are effective when they support the whole sales ecosystem, not when they try to replace it.

The most stable accounts are those where PPC, SEO, the offer and logistics are synchronised. When one of these elements fails, ads very quickly expose it.

No clearly defined campaign goal

Many campaigns run without a clearly defined goal. It is not clear whether they are meant to sell, test the market, support SEO or defend positions against the competition. As a result they are hard to assess, and optimization decisions are random.

Every campaign should have a specific role. Only then do metrics like ACOS or ROAS start to make sense and lead to real business decisions.

How to use AI in Amazon PPC

AI increasingly appears in the context of Amazon PPC ads, but in practice it is easy to fall into two extremes. Either treat AI as a magic solution that “will do everything itself”, or ignore it completely. Both approaches are wrong. AI in PPC works best as a tool supporting decisions, not as their replacement.

Amazon Ads is a system based on data and repeatable processes: exactly where AI makes the most sense.

AI for analysing ad data

AI’s greatest value in Amazon PPC is working on large data sets. Campaigns generate hundreds or thousands of rows in reports, whose manual analysis is time-consuming and error-prone.

AI can help with:

  • detecting patterns in costs and conversions,
  • identifying phrases that “spoil” the results,
  • comparing periods and trends, not single days.

This makes optimization decisions based on broader context, rather than intuition or a single metric.

AI in building and organising campaign structures

With more products and markets, the problem is no longer setting up the campaign itself, but maintaining a coherent structure. AI can support:

  • creating logical campaign divisions,
  • grouping phrases by intent,
  • tidying up accounts that have grown for years without a clear concept.

This is especially useful when scaling sales or expanding into new markets, where manually copying structures quickly leads to chaos.

AI in bid and budget optimization

Bid automation is one of the most tempting areas for AI use. And indeed, within certain limits it works well. AI can react faster to changes in data and adjust bids based on historical results.

The problem appears when optimization happens without business context. AI does not know:

  • what the real margin is,
  • whether the campaign has a sales or testing goal,
  • whether a given product is in launch or maturity phase.

That is why automation should operate within clearly defined rules, not as a “free hand” for the system.

AI as support, not autopilot

The best results come from a hybrid approach. AI:

  • speeds up analysis,
  • organises data,
  • suggests possible directions.

The human:

  • sets the strategy,
  • defines the goals,
  • makes decisions that go beyond the numbers.

In Amazon PPC those who understand the product, market and customer still win. AI can strengthen that understanding, but not replace it. Treating AI as an autopilot usually ends in losing control over costs and strategy.

A realistic approach to AI in advertising

AI will be a standard element of working with Amazon PPC, just as reports or automatic campaigns are today. The edge will go not to those who use the “most advanced tool”, but to those who best combine technology with process and experience.

AI does not change the rules of the game in Amazon PPC. It changes the pace of work and the quality of decisions. And it is in that role that it has the greatest value.

Amazon PPC launch scenarios

There is no single “ideal” way to run Amazon PPC ads. How campaigns should look depends above all on the sales stage the product or account is at. It is a mistake to copy strategies from other accounts without accounting for the business context.

Below we describe the most common scenarios we encounter in practice and the role PPC plays in each.

Starting from scratch: a new account, a new product

This is the most demanding scenario. The product has no sales history, reviews or data, and the Amazon algorithm does not yet know how to classify it. In such a situation PPC acts above all as a tool for gaining data and first sales signals.

At this stage:

  • automatic campaigns help discover real user queries,
  • manual campaigns test basic buying phrases,
  • the goal is not a low ACOS, but sales and visibility.

The most common mistake is expecting profitability too quickly. PPC at launch is an investment in data that only starts to pay off in the following weeks.

Scaling bestsellers

Once a product already sells organically and has a history, PPC changes its role. It stops being a “rescue” tool and becomes a growth lever.

In this scenario:

  • manual campaigns take over most of the budget,
  • bids are optimized for scale, not just cost,
  • PPC supports maintaining organic positions amid rising competition.

Systemic thinking is key here. Scaling ads without controlling availability, logistics or margin very quickly leads to operational problems.

Defending listings against the competition

As sales grow, competition appears that starts advertising on your product pages. At this point PPC serves a protective function.

The ads:

  • secure your own listings,
  • limit the competition taking over traffic,
  • help maintain stable sales.

This is a scenario where ACOS can be higher, but the cost of not advertising can be even greater. A lack of listing defence often means a gradual loss of sales, even with a well-optimized offer.

PPC when expanding to new EU markets

Entering a new market (e.g. DE, FR, IT or ES) is in practice a repeat of the launch process, even if the product sells well in another country. The algorithm treats each market separately, and data does not always “transfer” automatically.

In this scenario PPC:

  • speeds up gaining visibility,
  • lets you test local phrases and user behaviour,
  • shortens the time to first sales.

It is a mistake to copy campaigns 1:1 from another market without adjusting bids, budgets and buying intents. PPC during expansion should be treated as a market test, not a ready recipe.

One goal, different strategies

Each of these scenarios requires a different approach to budget, metrics and optimization. The common denominator is one thing: PPC should always have a clearly defined role. Without it, it is hard to tell whether a campaign is working well or simply “doing something”.

Consciously matching the PPC strategy to the sales stage is one of the biggest factors distinguishing accounts that grow steadily from those that constantly firefight.

FAQ: the most common questions about Amazon PPC

Is Amazon PPC mandatory to sell on Amazon?

Formally no, in practice very often yes. In many categories competition is large enough that without ads it is hard to generate first sales and the data the algorithm needs to assess the offer. PPC is not required by the rules, but in practice it has become one of the basic tools for launching and scaling sales, especially with new products and on new markets.

How much do you have to spend on Amazon PPC to see effects?

There is no single amount that guarantees effects. What matters is not how much you spend, but whether the budget lets you gather sensible data. A few clicks a day is usually not enough to draw conclusions. In most cases you need a budget that allows testing phrases and user behaviour for at least a dozen or so days. Only then does PPC start to provide real value.

Can you sell on Amazon without ads?

Yes, but this usually applies to very specific situations: niche products, strong brands or offers with a clear price advantage. In most categories ads are now part of the market balance. A lack of PPC often means handing visibility to the competition, even if the listing is well optimized.

How long should I test an Amazon PPC campaign before judging it?

Judging a campaign after one or two days is unreliable. Amazon needs time to gather data, and results from the first days can be random. In practice a sensible test period is a minimum of a few days of intensive impressions and clicks, and ideally a dozen or so days of campaign work. Only then can you talk about trends rather than single deviations.

What is more important: a low ACOS or higher sales?

It depends on the campaign goal. A low ACOS matters for campaigns focused on profitability, but at launch or scaling, sales, visibility and data are often more important. Focusing solely on ACOS without context often leads to overly conservative campaigns that limit growth. In Amazon PPC it always pays to define the goal first, and only then choose the metrics.

Do Amazon PPC ads directly affect organic positions?

Not directly. Amazon does not “raise positions” just because you pay for ads. PPC does, however, indirectly affect SEO, because it generates sales and data the algorithm takes into account when assessing offers. Well-run campaigns can speed up gaining organic visibility, but they will not replace work on the listing.

Are automatic campaigns worse than manual ones?

No. Automatic campaigns serve a different role than manual ones. They are a great source of data and help discover phrases the seller would not have chosen. Manuals give greater control and stability. The best results come when both campaign types are used consciously and at the right moment.

Does Amazon PPC work the same in every EU country?

No. Each market has its specifics: different user behaviour, different bids, different competition. Campaigns that work well in one country will not necessarily transfer 1:1 to another market. That is why, when expanding, PPC should be treated as a testing tool, not a ready template to copy.

Prefer the team to do it for you?

All the knowledge in this guide works inside our services: from account registration to full Amazon sales management.

Book a free consultation