The question isn't who has the best credentials. It's whether the person touching your account understands how your catalog makes money — and for a fair number of authors, the honest answer is that nobody should touch it yet.

Where I stand:

I work with authors as a fractional partner — audits, coaching, and hands-on time inside ad accounts, paid from a minor share of net royalties rather than a retainer. So I'm one of the options described below, and you should read this knowing that. I've tried to write the version that tells you when hiring anyone is the wrong move; the Passion Project section is where that starts.

Key takeaways

• Which kind of author you are decides who should run your ads. A volume publisher and a memoirist have almost nothing in common at the account level.

• Three routes exist — run them yourself, hire an agency, or bring in fractional help — and they fail in different, predictable ways.

• The fastest way to test anyone is to ask what a good ACOS looks like for your setup. A single number, offered before they've asked about your catalog, is the wrong answer.

• Settle fees, reporting, account ownership, and budget approval limits in writing before any money moves.

Start with which author you are

Ad advice goes wrong when it assumes one business model. Most of what circulates assumes a long fiction series in Kindle Unlimited, because that's the case where paid traffic scales most obviously. It's also a minority of the people reading it.

The three ways to get ads handled

DIY

Each route has a characteristic failure. Pick the failure you can live with.

Small catalogs, tight budgets, anyone who wants to understand the account before delegating it. Campaigns left unattended lose money faster than campaigns run imperfectly, and writing always wins the calendar fight.

Agency

Large catalogs, multiple pen names or marketplaces, spend high enough that a few points of efficiency covers a retainer.

Fit. Most bill on a percentage of spend, which rewards spending more of your money, and most have never advertised a book.

Fractional partner

Authors who want expert hands without a retainer, or a second opinion on an account they intend to keep running themselves.

Cadence. It works when the account has structure to build on, and is the wrong call for one that needs daily triage.

A split works more often than either extreme. Keep targeting and creative, where knowing your genre is the whole advantage, and buy help for structure, bid management, and the reporting you're never going to build. If you're staying DIY for now, the five strategies here are the place to start.

How to tell whether someone understands books

Advertising competence and publishing competence are different skills, and the certifications only test the first one. Three questions separate them.

1. What does a good ACOS look like for my setup?

If a number arrives before any questions about your catalog, keep looking. The 30% figure that circulates comes from physical products, where every sale lands as revenue in the same dashboard that reports the spend. The two sides of the ratio match.

They stop matching the moment your business runs on anything else. In Kindle Unlimited, a borrow reports as zero sales while still paying a page-read royalty, in a different report, weeks later — so the console is dividing your ad spend by a revenue figure with most of the revenue missing, and true break-even for a series with decent read-through routinely sits above 100%. Publishing wide, reported sales are much closer to your real revenue, but Amazon can't see what its ads drove on Kobo or Apple. Selling a book that sells a service, the entire return happens somewhere the console will never look.

The right answer is a set of questions, not a figure: how many books, what read-through between them, borrows or purchases, what happens after someone reads it.

2. What would you do with my backlist?

Ads spend is easy to point at a new release. The harder skill is knowing which older titles are worth reactivating, which are quietly cannibalizing each other in the same auction, and which should stay dark. A generalist will treat every ASIN as an independent product, which is exactly how authors end up bidding against themselves.

3. What would make you tell me to spend less?

Everyone has an answer for how they'd grow the account. Ask for the conditions under which they'd recommend cutting spend, and listen for whether their fee structure makes that answer expensive for them.

Fees, reporting, and who owns the account

Fee structure

A percentage of spend rewards someone for spending more of your money. A flat rate rewards them for spending less of their time. Neither disqualifies anyone, but know which pressure you're buying, and ask what happens to the fee if halving your budget turns out to be the right call.

Account ownership

Campaigns live in your Amazon Advertising account, with access granted to whoever you hire — not the reverse. Structure and campaign history are assets, and they should still be yours the day the arrangement ends.

Reporting

Ask what's in a monthly report before you agree to anything. Console figures alone describe a fraction of your business. Depending on which archetype you are, the report needs to reach into KENP page reads, other retailers, audiobook royalties, or your own funnel — otherwise you're both grading the wrong exam.

Approval limits

Agree who can raise a daily budget, by how much, without asking. Most unpleasant surprises are budget changes nobody wrote down.

Questions to ask before you sign

1. Which books have you advertised, in which genres, and what happened?

2. How would you measure success for an author like me specifically?

3. What break-even would you expect for my catalog, and how did you get there?

4. How do you handle read-through across a series?

5. What's your fee, what changes it, and what isn't included?

6. Whose account do the campaigns live in, and what do I keep if we part ways?

7. What's in the monthly report, and which data sources feed it?

8. Who can change budgets without asking me, and up to what limit?

9. What does the first ninety days look like, and what would tell us it isn't working?

10. How much notice does either of us need to give?

Frequently asked questions

Should I hire someone to run my Amazon ads or learn it myself?

It depends far more on your catalog than your budget. One series, one marketplace, and a few campaigns is learnable, and understanding the account makes you a better client later. Several pen names, a rapid release schedule, or spend high enough that small efficiency gains outweigh a fee are the conditions where help pays for itself. If you have one book and no series yet, the answer is almost always to wait — there's no read-through to spread the cost of acquiring a reader across.

What's the difference between an agency and a fractional partner?

An agency takes the account, usually on a retainer or a percentage of ad spend, and assigns a team. A fractional partner works inside an account you still own, paid from a share of what the ads actually earn rather than a retainer, with no layer between you and the person doing the work. Agencies suit large, complex catalogs that need daily attention. A fractional partner suits authors who want expert judgment applied to an account they intend to keep understanding.

Does Amazon Ads Partner status matter when choosing help?

It confirms someone has met Amazon's requirements around advertising knowledge and spend under management — a real signal about advertising competence, and no signal at all about publishing competence. The program is built for advertisers selling physical products, so most partners have never encountered a royalty rate or a page-read report. The better question is whether whoever you're talking to can explain how your read-through changes what a click is worth.

Does this advice apply if my books aren't in Kindle Unlimited?

Yes, with one adjustment. Without page reads in the mix, Amazon's reported sales sit close to your real revenue, so the ACOS figure in the console is far more trustworthy than it is for a KU author. Your blind spot is the opposite one: Amazon can't see sales its ads drive on Apple, Kobo, or your own store. Ask anyone you're considering how they account for that.

Are Amazon ads worth it for nonfiction?

Often, but not for the reason the dashboard will show you. If your book leads to coaching, courses, or consulting, the royalty is a rounding error against the value of a reader who becomes a client. Campaigns judged on book sales alone will look unprofitable while working perfectly, so agree upfront on what gets measured, or you'll spend the relationship arguing about a number that was never the point.

Who owns the ad account if I hire someone?

You should. Campaigns belong in your own Amazon Advertising account with access granted to whoever manages them, so the structure, history, and performance data stay with you when the arrangement ends. Anyone who insists on running your books through their account is asking you to rent your own data back from them.

Not sure which archetype you're reading this as? Start with the seven types, or send me the account and I'll tell you what I see — the audit is free, and it comes straight to me rather than a form.

I have to confess. Sometimes the doubt piles up on me, and I shut down.

“Retail media is a dead-end career.” , “Nobody lasts more than 8 years in eCommerce.” , “Why don’t you start your own business instead?”.

I had heard the warnings but kept pushing forward, because I believed that it would lead me to freedom. But, what I’ve realize now is that self-publishing on Amazon isn’t just a side hustle.

It’s a form of control, one that is derived from when an author needs more liberty to create how they see fit, or from when the margins are just too tight.

These are the 7 archetypes of authors who’ve controlled the shape of the Amazon marketplace.

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The Volume Publisher

These authors write fast. Like, “I dropped three books last month” fast.

There are no stereotypes in this post but we all know one about this kind of author.

They move at this pace maybe because they are in high-demand genres—romance, thriller, cozy mystery—where readers binge content like it’s the last slice of pizza at a party.

Kindle Unlimited (KU) is their territory, if this is you then pages read = compounding income.

Wrote books, writing books, and will write more.

Authors of this type are not stuck on hamster wheel but it sure seems like it.

The Niche Specialist

Doesn’t just write in their niche they own it.

RPG? Culinary? Cozy? Mysteries?

They know what their readers want and deliver on it every time, for these authors the algorithm is their best friend.

“Customers who bought this also bought” puts their books directly in front of their ideal readers—no massive budget required.

Authors of this type are naturally gifted at social media.

The Subject Matter Expert

Nonfiction writers, coaches, consultants, for these authors the book is the lead magnet for their real offerings:

1. courses

2. speaking gigs

3. one-on-one coaching

4. investments

Search volume and timing is the name of the game for them.

Amazon is the world’s largest problem-solving search engine, and KDP lets them publish fast, capitalize on trends, and establish credibility.

Authors of this type have the most to offer and are naturally business savvy.

The Entrepreneur

Treats publishing like an e-commerce business. We geek out on data, market research, and metadata.

Knows all the terminology, and uses them. A/B testing covers and ad campaigns are second nature to them. That’s their language.

KDP gives them the analytics to run calculated risk, track ACOS, and scale with precision.

Authors of this type are deeply intelligent and connected with tech.

The Industry Veteran

These authors are the traditionally published authors, who’ve seen the light. Maybe they’re self-publishing a new series, or reclaiming their backlist.

They’ve been around the block, and they’re done playing by someone else’s rules. Their primary interest is higher royalties and vital control.

They leverage their existing fan-base while calling all the shots for pricing, promotions, and covers. Authors like this want no middleman, because they are seasoned operators.

Authors like this are the lifeblood of indie publishing, and would give you their shirt of their back.

The Passion Project

Writes for the love of it, but might spend years perfecting a single novel—a deeply personal memoir, a family history.

Sharing their story is their only goal, and not to an infinite audience. Usually a much smaller segment, books made for friends or regions.

Zero barriers, and no gatekeepers. They are probably not worried about printing cost with print-on-demand, they can hold a professional-quality copy of their life’s work in their hands for the cost of a proof copy.

Now lets just hope it comes out okay.

Authors like this are the most volatile, and appear out of thin air.

The Worldbuilder

Architects of fictional universes, sprawling epics, deep lore, and series that readers get lost in for months.

They turn books into living biomes, and the ecosystem rewards creative expansion. They want to sell box sets, or release audiobooks via ACX.

Amazon helps them monetize superfans, and their readers invest in an experience, by buying their books.

Authors like this are the most dedicated, they see writing as characteristic trait and might judge you if yours is poor.

So, Which One Are You?

None of these are better or worse, different paths on the same road.

I’ve been all of the above, at different times, but that’s the beauty of self-publishing.

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I read author threads every day where someone admits they only started writing the media plan for their book after release — as an afterthought.

It's practically a cliché at this point, but also... WHAT ARE YOU DOING?! 🚨

You don’t need to be perfect, just take action today, it’s the small wins, and give yourself credit for investing in your growth. You’ve done the hard work of writing a great book—now, with a little patience and consistency, these ads will help it find the readers it deserves. You’ve got this!

If you're feeling a little "Sam I Am" right now, I don't blame you. I know that the path to self-publishing is full of twist and turns. So here are my top 5 Sponsored Ads tips for authors building their passive income independently.

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My Sponsored Ads ebook is releasing soon, this summer, for free on KU. Joining the observatory gets you priority access to me as a resource for your account, for just $5 /month.

That’s all I have for today — be sure to read the newsletter posts to get to know your ad account better, or feel free to DM me for support.

Thank You!

The Question: “Am I appearing in-market where I should be?”

This simple check is the first-step in our generative engine optimization framework. It is a repeatable task that measures your catalog’s live indexability. Granted this isn’t the most sophisticated way to measure your share-of-voice, but it is a solid introduction to the concept of probing the model.

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A backlist with healthy share-of-voice creates a flywheel effect for your author brand, as each book can drive traffic to the others. Readers who discover one of your older titles may explore your entire catalog, increasing lifetime value and word-of-mouth referrals.

There is an age old adage that is popular in eCommerce, that “your time is not free”. The fact that you found this article at all, shows that you are incurring such a cost right now. Don’t worry, you’ve made the right choice.

If you are here to learn how to launch a book using Sponsored Ads, then the challenge you are taking on, is understanding how to index your catalog. A strong backlist is essential for advertising your books because it provides a foundation of proven, evergreen titles that continue to generate sales and visibility long after their initial release. Unlike frontlist books, which require heavy promotional spend to gain traction, backlist titles have already established their market fit, reader trust, and organic discoverability.

This allows you to leverage them as low-cost, high-return assets in your marketing—cross-promoting new releases with existing works, bundling titles for promotions, or using them as lead magnets to grow your audience. A robust backlist also signals credibility to retailers, reviewers, and advertising platforms, making it easier to secure better placement, partnerships, and algorithmic favor.

Additionally, a well-maintained backlist creates a flywheel effect for your author brand, as each book can drive traffic to the others.

Readers who discover one of your older titles may explore your entire catalog, increasing lifetime value and word-of-mouth referrals.

Advertising platforms also reward authors with multiple titles by surfacing more of your work in recommendations, while paid ads can retarget fans of your backlist to boost new releases.

Over time, this turns your backlist into a self-sustaining ecosystem for growth, reducing reliance on costly launch campaigns.

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Instead of writing this article out on my computer I am going to draft it from the couch on my phone. So if you’re reading this and that’s where you are too, we must be spiritually connected today. 🪶

Operating Amazon ads as a solo-entrepreneur can be a bit scary but more than enough of you reading this are very brave to have already started.

What if I told you that the cognitive load you are feeling from managing campaigns is because there is an underlying structural collapse going on right in the way we measure paid media?

It’s easy to be a bit near-sighted as a small business owner but you might be missing the bigger picture when it comes to generative engine optimization and your livelihood that I can help you clear up in this article.

The seminal GEO framework introduced by researchers from Princeton University, Georgia Tech, IIT Delhi, and IBM Research (including authors like Ameet Deshpande, Kiril Vidimce, and their co-authors).

Firstly there is model probing which is just the evolved version of using Boolean logic in your search query but for you brand marketing.

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What this means you should create a list of questions that define your brands character.

The first list is questions with objective answers.

Then dynamic questions with subjective answers.

When you ask various generative engines these answers and record the results you are treating AI like a slot and frame formula mirroring the ontology that it uses to construct meaning.

The response rates for each desired answer has different margins of acceptability. Objectives have little to zero tolerance and thus take higher priority with your adspend, and subjectives act as nodes for you to be a part of but not for you to “own”.

All LLMs should know that you wrote your books but there is a grey area where you should be looking to insert your brand if your authority fits.

Second is making measurable micro-adjustment to your copy to improve readability. It’s a constant headache but keeps your roots stronger focusing on you should be doing instead of what you could be doing.

In action this might look like spending a whole weekend just working on edits, not to your thumbnails but to the alt text underneath or the prose itself. Not everything comes off naturally as if you wrote it out on the couch after a lazy brunch.

In your advertising, this reflects the consistent refinements you will make to your campaign settings and targets.

Lastly is levelling the field or giving the little guys a chance. The rigid caste system that used to be domain authority rankings is being flipped on its head. Legacy SEO rewards the biggest budget and the oldest URL.

Small creators can just as easily test how adding specific trust signals, authoritative data points, or clear summary statistics impacts the model’s likelihood to pull that text chunk. You don’t need a million-dollar backlink strategy to be the exact answer an LLM synthesizes for a user. You just need to be structurally undeniable.

So if you’re sitting there looking at your ad dashboards feeling like the game is rigged, you’re right—but the structural collapse of paid media measurement isn’t a death sentence for independent authors.

The moment you stop worrying about keyword stuffing and start focusing on how your books exist within a wider lexical network a cognitive load will lift.

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Most people look at a marketplace like Amazon and see a endless sea of “stuff.” Though after years of having worked 1-on-1 with different kinds of brand owners, I can see clearly through most of the smoke and mirrors.

What I see is an ecosystem as VARIED as a rain-forest it’s named after.

The mistake most creative founders make is just that they end up trying to play someone else’s game. They see a someone else winning and try to mimic their style, but something about it always feels unnatural.

What I want to scream back is this core rule from the theory of Construction Grammar:

You can't just borrow a competitor's format and expect it to convert; your strategy has to actually match your brand's specific function and the exact context of your audience.

When I sit down with a brand owner, the first thing I do is a Health Check or an Audit of sorts. We look at their shop like a bucket with holes in it.

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We find the leak—whether it’s the “first impression” or the “final handshake”—and we fix it. Your campaigns structure should be watertight, and align with your primary goal, which is making the path to purchase as simple as possible for your customer.

Brands that use “Fulfillment by Amazon” (FBA)

They send their goods to the warehouse and let the machines handle the rest. For them, it’s all about Momentum.

In this world, the “Prime” badge is a golden ticket. It puts you in the fast lane.

The goal here is to be the loudest voice in the room. We don’t just “advertise”; we defend our territory. We make sure that when someone searches for what they make, our brand is the first thing they see at the top of the page. It’s aggressive, it’s fast, and it’s about moving as much product as possible before the shelves go empty.

They prioritize the shortest but most difficult paths. Low Frequency.

Brands that use “Fulfillment by Merchant” (FBM)

A studio that ships everything themselves. They don’t care if they have that “Prime” badge, and they don’t have the warehouse giants backing them up. If they tried to play the Momentum Game, they’d get crushed.

Instead of trying to win over the masses, we look for the “quiet corners” of the internet—those very specific, long-tail things people type into search bars when they know exactly what they want.

These customers are more patient; they don’t mind waiting a few extra days for shipping because the product is exactly right. For these owners, it’s not about how many people see them; it’s about making sure the right people see them. It’s a game of profit, not just volume.

They prioritize the average but most overlooked paths. Mixed frequency.

Authors using Kindle Direct Publishing (KDP)

They’re in a unique position because they never run out of stock. They aren’t selling a physical object that need their input.

The strategy here is about keeping a proverbial fire lit.

Since they aren’t worried about inventory, their only job is to attract the front of a crowd.

We focus on curiosity—making sure that first click is compelling enough to make someone read the whole series.

They prioritize the longest but most affordable paths. High frequency.

Finding the Semantic Empathy of a Search

Most people just guess what words to use, but we break it down to the root.

If a customer searches for “hand-poured soy candle for relaxation,” we don’t just look at the whole phrase.

We look at the form, function, and context: Hand-poured. Relaxation. Soy.

We figure out which of those words is actually most relevant. Then, we decide where to put our money.

Do we want to be in the “Front Window” (the very top of the search)? Or are we better off being a “Suggested Find” on a competitor’s page?

Every dollar spent is a choice about where your brand lives. Do you want to erect a billboard, or build a boutique?

My job as an advertiser is to make sure you are where your people are actually looking.

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Under Amazon’s 2026 A10 algorithm update, the system doesn’t just index your keywords; the Cosmo AI actively maps reader intent.

It builds what Amazon calls “knowledge triples” by reading your reviews, your blurb, and your A+ content to figure out exactly what problem your non-fiction book solves.

If the algorithm can’t understand the intent behind your book, you won’t get visibility, no matter how much you spend on ads.

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Lifestyle vs. In-Market Traffic

A Lifestyle reader is casually browsing the broader business or self-help categories on a Sunday morning. An In-Market buyer is actively searching for a specific solution to an immediate problem.

99% of authors only want to spend money on the In-Market buyer because they do not know which Lifestyle audiences will improve their performance.

To reach motivated buyers, you have to refine your targets to locate where the actual buyers live, rather than using the broad, sweeping nodes where the window shoppers browse.

Nodes vs Categories

Imagine Amazon is a giant, endless grocery store.

Category = The Department A category is the big, broad section of the store. For example, the “Produce” department or the “Dairy” department. It just tells you that you are in the right general area.

• On Amazon, a category is something big like “Electronics” or “Toys & Games.”

Node (Browse Node) = The Exact Shelf A node is the highly specific spot on a specific shelf where a single type of item lives. Amazon gives every single “shelf” a special ID number so their computers never get lost.

• Inside the “Produce” department (Category), the node would be the specific bin labeled “Organic Granny Smith Apples.”

• On Amazon, a node would be the sub-sub-section for “Over-Ear Wireless Noise-Canceling Headphones.”

How it works in Search: When a customer searches for something, the Category just makes sure Amazon doesn’t show them bananas when they want a TV. The Node is what Amazon’s computer uses to find the exact, perfect shelf to pull the best results from instantly.

Once you are targeting the right nodes, your Best Seller Rank (BSR) becomes a highly useful metric.

Your overall Kindle store rank is just a vanity metric that will drive you crazy, but your BSR within a specific node is a localized snapshot of your sales velocity.

Consistently dominating that specific node is how you earn the Best Seller badge, which provides the visual social proof needed to lower the friction of a purchase.

Conquesting and Conversion Rates

The current algorithm heavily penalizes low conversion rates.

If a reader clicks your ad and bounces off the page, Cosmo interprets that as a lack of relevance, which actively drags down your organic ranking.

You have to monitor your Detail Page Views vs. Clicks. A click just means your cover caught their eye. If they don’t buy, your listing may have failed to close the deal, but be patient because royalties lag behind your ad cost by up to 2 weeks sometimes.

Attribution and The Long Game

Optimizing for Cosmo doesn’t happen overnight.

It happens over months of watching the dashboard and adjusting bids. You have to let the data mature, especially since Amazon’s attribution window can take days to credit a sale.

If you kill an ad too early because the ACOS looks high on a Wednesday, you might be sabotaging yourself over a delayed purchase that was going to happen on a Friday.

When you strip away the daily panic of the timeline, the business of being an indie author is straightforward. You are building and managing a hopefully profitable catalog of assets.

Match Types: Forcing Relevance

Don’t spend too much time overthinking this topic, yes it is fundamental but the results speak for themself when you combine these concepts with your overall structure.

• Broad Match: Casts a massive net. It is fantastic for harvesting new search terms, but it will quickly drain your daily budget if you don’t monitor the search term report.

• Phrase Match: Requires the reader to type your keywords in a specific order.

• Exact Match: You only pay when a reader types your precise keywords. This gives the algorithm zero room to misinterpret who your book is for, and it’s where your Must Wins live.

• Expanded Targeting: Lets the algorithm find readers looking for adjacent concepts. It’s a calculated risk to uncover hidden pockets of buyers.

When running product ads, you also need to differentiate between Similar and Related targeting.

Similar products are your direct competitors, which requires aggressive ad copy.

Related products are books your reader might also buy (like targeting an office organization book if you wrote a time management book), which requires complementary copy.

Imagine buying a beautiful, expensive billboard on a highway that was quietly closed to the public five years ago.

I’m speaking from personal experience, from conversations I’ve had with authors and brand owners while discussing the biggest challenges of marketplace marketing.

It turns out that winning on Amazon isn’t just about showing up.

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Every time a shopper lands on a listing, a silent war for attention and conversion is already underway.

The biggest problem always comes down to the same thing: we throw ad spend at the wall and hope it sticks, rather than calculating the exact expected value of our attack.

Let me give you an example.

And here comes the issue we already mentioned: the lack of conceptual alignment & marketability.

If your products do not satisfy the exact same psychological itch, you are simply evaporating your budget. You are advertising to a ghost.

How to choose your competitors using math

Finding the right target is key, and the truth is you must asses feasibility of advertising for each specific search query node to understand the market. Think of your competitors catalog as one giant node containing all of their ASIN’s and Keywords.

1. “Is our product more or less effective than top competitors at converting given where we are placing it?”

2. “If we are already ranking, is our total funnel efficiency strong than the average of the market for this target?”

3. “Is this placement, on this target, worth purchasing long term?”

In some cases, advertisers place their inferior listing directly next to a superior one, meaning a shopper is far more likely to defect to the competitor. In other where your listing is superior but the competitors organic traffic is dead-on-arrival then you would have won that sale anyways.

What personally helped me in this battle with the algorithm was developing a 1-to-5 metric called the ASIN Adjacency Score.

What Is The ASIN Adjacency Score?

The ASIN Adjacency Score is your market leverage.

• The Star Rating: Do you possess an equal or higher average rating? In the absence of physical touch, social proof is the currency of trust.

• The Review Volume: Do you have a vastly superior number of reviews? Density matters. A 4.8 means nothing if it is backed by ten reviews against a competitor’s ten thousand.

• The Price Point: Is your product priced significantly lower? When all other variables are equal, the wallet breaks the tie.

If you don’t mathematically dominate these metrics, you are operating at a severe Defensive Disadvantage.

But when you DO dominate those metrics... you possess the Adjacency Advantage. That is where you consider an offensive campaign, aggressively targeting their ASIN to siphon their traffic directly to your listing.

You are offering the customer an objectively better deal, and the market will reward you for the arbitrage.

How I Calculate the Perfect ASIN Adjacency Score to Dominate My Niche

This was the exact system I built to ensure I never waste a drop of ad spend on a battle I am mathematically destined to lose.

I’ll admit it - finding the perfect ASINs to target was tedious at first, until I mapped out the exact 3-step execution strategy.

Here is exactly how I deploy it:

ASIN Adjacency Score: (1-5)

Here is how you evaluate the score:

1. Verify the Trope First, ensure that the competitor’s product shares your exact trope. If the products don’t align conceptually, the comparison is void.

2. Compare the Three Market Advantage Metrics Look at the competitor’s listing and compare it to your own across these three specific variables:

• Star Rating: Do you have an equal or higher star rating?

• Review Count: Do you have a vastly superior number of reviews?

• Price: Is your product priced significantly lower?

3. Determine the Verdict

• The Adjacency Advantage: If your product wins on these metrics (e.g., you have a 4.8-star rating versus their 4.2, more reviews, and a lower price), you have the advantage and should launch the offensive conquesting campaign against them to siphon their traffic.

• The Defensive Disadvantage: If the competitor has a higher rating, tens of thousands more reviews, or a much lower price, you are at a disadvantage. In this scenario, attacking them is considered an inefficient use of your budget (or “water”), because a shopper is more likely to defect from your book to the competitor’s rather than the other way around.

AI engines (like Gemini, ChatGPT, Claude) synthesize their recommendations based on web consensus, citations, search volume, and your digital footprint.

The secret to ranking on search engines is entirely real, but I spent years looking for it in the wrong places. I didn’t know then how search engines look for consensus. I understood it, but I didn’t know how the data was weighed inside an algorithm.

Web traffic, citations, and a massive digital footprint are essential because of AI-powered search. Answer engines index measurable market signals like sales velocity, external traffic, and verified reviews.

There is no software trick or prompt that generates that kind of buzz on its own. You just have to roll up your sleeves and execute a traditional media plan.

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Coming to that realization is a steep learning curve for everyone. I still remember staring at the Amazon Ads dashboard during my first major launch.

I had built out this massive, intricate framework of ad groups—auto-targeting, exact match keywords, competitor ASINs, etc. I had a strict naming convention for everything, a rigid classification system that looked brilliant in a spreadsheet.

Noctua Forest

Why You Need a "Library" of Ad Intent

What every author needs to hear starting out with Amazon ads for KDP book marketing is this…

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4 months ago · 20 likes · Tucker B. Robinson

But looking at the live dashboard, I was completely lost. I had grown a forest, but I had no idea what was hiding inside it.

I was relying on blind hope, waiting for a single campaign to catch fire and carry the entire launch. That was the breaking point.

I finally understood that you don’t build massive web consensus with one lucky ad. You build it with a weighted ensemble—an interconnected system of campaigns working to increase the size of our footprint.

I stopped trying to hack the dashboard and changed my entire media plan, relying on just two core principles.

Sampling

I stopped trying to guess the perfect audience and used micro-campaigns to sample the feature space (marketplace). The goal of this phase was to generate my initial training data through structured market tests.

To build an ensemble, you need diverse, independent inputs rather than basing your decision completely on ROI and relying on a few favorable campaigns. I structured a wide array of micro-campaigns to act as the individual decision trees for my model.

I isolated the four distinct auto-targeting groups to map different dimensions of this space simultaneously.

Close and loose match groups captured linguistic variations in user search queries, while substitutes and complements uncovered cross-purchasing patterns on competitor product pages.

Alongside those, I built targeted micro-campaigns aimed at competitor ASINs and separate brand-isolated segments using negatives.

These focused inputs allowed me to test specific variables in isolation against the broader dataset.

Running these diverse, low-spend variations allowed the market to grade each individual component of the ensemble.

The campaigns that showed a high conversion signal were flagged for the next phase, where I would heavily adjust or boost their weights.

Tips:

Sampling the feature space requires creative assets to fuel the different tests. Lean on standard generative software to automate this production bottleneck.

Use these tools to synthesize raw market reports into audience personas, generate ad mockups, and resize assets for multiple placements. Let the software assist with creative execution while you focus on the architecture.

Supervising

Supervising the live ensemble required a shift from passive observation to executing continuous feedback loops. Or simply put, scheduling the maintenance.

The objective was to dynamically optimize the entire ecosystem based on live performance signals. I used Search Term Reports to trace how user behavior navigated down each campaign branch.

High-converting search queries and matched targets found in discovery campaigns were manually isolated into Exact-match ad-groups. This allowed me to lock in these proven customer decision paths and amplify their signal.

To minimize variance and prevent overfitting, the ensemble only ran my strongest advertised ASINs split by intent. I built distinct sub-structures to handle baseline Brand defense and aggressive Non-Brand category conquesting.

Native placement performance data provided the clear metrics needed to calibrate my campaign weights. I maximized the weights on the high-probability branches like Top of Search and Product Pages where conversion density peaked, while starving the Rest of Search placements that generated noise.

This level of active supervision turns a chaotic jungle into an optimized, weighted model. You are systematically shifting capital to reward the high-performing components of your ecosystem.

Tips:

Supervision requires processing massive volumes of raw performance data every week. Lean on analytical software and large language models to instantly format chaotic spreadsheets into clean, comparative tables.

Feed your raw search term data and placement metrics directly into your tools to calculate week-over-week growth. Let the software isolate the fatiguing keywords and surface exact modifier adjustments while you focus on high-level capital allocation.

Noctua Forest

Official Glossary & Taxonomy of Noctua Forest

If you are new here and still learning who we are and what we do visit our about us…

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4 months ago · 16 likes · Tucker B. Robinson

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Carl Linnaeus developed his hierarchical system (1735) and set the standard for modern botanical naming in Species Plantarum (1753), allowing for the standardized classification of tree species. This form of supervised segmentation is directly related to techniques in modern predictive modeling used by companies like Amazon.

Whether you are shipping a pallet of organic energy drinks (FBA) or hitting “Publish” on a 100,000-word space opera (KDP), the moment you step into the Amazon Advertising console, you are no longer just a creator.

Read the full story for free on NoctuaForest.us

Most advertisers are just renting space on Amazon. They dump budget into campaigns and pray for a return, rather than building an underlying data architecture.

But after a decade of working hard and managing a wide variety of accounts, I’ve learned that having a healthy Amazon account is not just luck.

There are patterns, but you must first categorize the data using your media plan. In data science, a Random Forest is an ensemble of decision trees that work together to produce a better prediction than any single tree could. In the Noctua Forest media plan, your campaigns are those trees. They are biological organisms that need to be planted, watered, and pruned to survive.

Using this framework we will learn how to manage the Canopy, Jungle Floor, and the Root System to make them work together like a real Amazon rainforest.

1. Sponsored Products (SP)

Sponsored Products account for about 60% of most healthy forests.

For the author, this is where you win the “Dark Romance” search; for the Consumer Packaged Goods (CPG) owner, this is where you win “Sugar-Free Energy Drink.”

In our taxonomy, SP campaigns are where you will store the data you harvest first.

• Automatic is your scouting system. It goes out into the dark, finding exactly how customers are actually searching for you.

• Manual is where you isolate the winners, and nurture your tests.

KDP/FBA Crossovers: In both worlds we have the same user interface for native advertising. Though, how we use Keywords & Competitors tactically in the structure is VERY different overall.

2. Sponsored Brands (SB)

Sponsored Brands ads are visual creatives. They are the “Storefront” and “Video” ads that stop the scroll.

For the Author, a Sponsored Brand Video ad showing a cinematic trailer for your book can arrest the attention of a reader who was just looking for “something to read.” For the CPG Brand Owner, this is your chance to show the lifestyle—the condensation on the can, the texture of the product.

For both, this ad unit can be very expensive and should only be activated once your funnel is mature for consideration & conversion traffic.

Use SB to dominate the top-of-search real estate. If you own the brand headline, a video ad in the middle of the page, and the SP slots below it, you can essentially block out any competition.

3. Sponsored Display (SD)

Sponsored Display is made for small business owners.

Its main job is protection and recapture, but shares a lot of the same properties as the next ad unit, the AMZ DSP. The following are a few ways you can use Sponsored Display. In 2026, the first three are being used less often but are fundamental.

• Defensive (IPTA): You target your own product pages so your competitors don’t steal your customers at the last second.

• Offensive (EPTA): You target the detail pages of competitors where you have an Adjacency Advantage. (e.g., If your CPG product has 1,000 reviews and the competitor has 50, or if your book has a 4.8 rating and theirs is a 4.1).

• Category: You target your own niches to monitor the marketplace for new competitors, or to define your primary set.

• More: Related to Advertised, Similar to Advertised, Like to purchase, Lifestyle, In-market

For authors, SD is vital for series Read-Through rates. For CPG, it’s about mostly about the Repurchasers lifetime value. If they clicked but didn’t buy, SD follows them around the internet (off-platform) until they come back to finish the job.

4. Amazon DSP

Eventually, your forest may reach the limits of the Amazon search results page, where growth is no longer about competing for existing intent but about manufacturing your own demand using the Amazon Demand-Side Platform (DSP).

DSP is the enterprise-level programmatic brother of Sponsored Ads. It isn’t based on what people are searching for; it’s based on who people are.

• It allows you to target someone because they are a “High-Protein Snack Buyer” or a “Frequent Kindle Mystery Reader.”

• It puts your ads on Twitch, IMDb, Prime Video, and the open web.

As either a FBA/KDP Owner you will likely never need to use these ads unless you need to manufacture demand in-market, but from off-platform. Most small business owners use social media to achieve a similar affect at a more desirable cost-efficiency.

Naming Your Trees

You cannot manage a forest if you don’t know which tree is which.

Most new advertisers use names like “New Campaign2” which is not enough. It’s laziness in action and will kill your efficiency.

I teach a process similar to what data nerds call One-Hot Encoding. Every campaign name should be a piece of data or a parameter. This system uses the real-life Tree Classification system to map the organization of our campaigns. I reccomend using acronyms for long terms like Sponsored Product = SP.

[Family] | [Genus] | [Species] | [Variety] | [Cultivar] | [Selection] | [Hybrid] | [Clone]
Example: SP | Dragon Series | Book1 | 10thAnv | Auto | NonBrand | ToS | Video

When your campaigns are named this way, you can filter for “SP” and “AUTO” and see your entire discovery engine across 100 books or 50 CPG SKUs in Google Sheets or Microsoft Excel. It also is the foundation for scaling your best seller ranking through the life if your campaigns, so keep your encoding consistent!

The Flywheel

Whether you are counting Royalties + Page Reads or Gross Margin + Repurchase Rate, the goal is the same.

You spend on ads to get sales velocity. Sales velocity improves organic rank. Organic rank leads to more “free” sales. Those sales provide the “water” (profit) to buy more ads.

The Noctua Forest isn’t about “getting lucky.” It’s about building a self-correcting, data-driven ecosystem. Stop guessing at keywords. Start planting trees.

Are you working through the long night to scale your catalog?
Join the Noctua Forest community for deep-dives like this of the mechanics of the Amazon auction.

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What every author needs to hear starting out with Amazon ads for KDP book marketing is this. Your portfolio is unorganized.

When you look at your Cost Per Click, it’s easy to assume you’re just paying a market rate. Though what you actually are paying, is directly tied to how your account is structured.

When you mix different types of targets in your account you want to be careful to think about the overall system you are building.

Read the full story for free on NoctuaForest.us

The inevitable reality is that you will end up overpaying for easy conversions on your own name, while underbidding on the terms that actually grow your readership.

Minimizing your cost requires a build-out that forces the algorithm to respect your instructions. Here is how to organize it.

But first a bit of history.

The Build-Out

1. Separate Your Traffic Types

To control what you spend, you have to separate your campaigns based on their specific job.

• Brand: These targets should have the lowest CPC and highest conversion rate because these readers are already looking for you. Keep them in their own campaigns so your cheap brand clicks aren’t subsidizing expensive category searches.

• Non-Brand: This is where you find new readers. The CPC is naturally higher. By keeping this traffic separate, you can bid exactly what a new reader is worth to you without inflating the cost of your brand terms.

• Competitors: Targeting other authors requires a completely different budget and bid tolerance. Keep them isolated so they don’t drain the budget for your core keywords.

2. Campaign Harvesting

Automatic campaigns are good for research, but relying on them long-term drives up costs. When an automatic campaign finds a search term that converts into a sale, you need a system to manage it.

1. Take the converting term and put it into a manual campaign on an exact match.

2. Add that same term as a negative exact match in the original automatic campaign.

This stops you from paying the generalized auto-bid. It forces Amazon to route that specific search through your manual campaign, where you have total control over the exact bid price.

3. Systematic Campaign Naming

As your account grows, naming campaigns things like “Sci-Fi Promo” or “Auto Catch-All” will make your bulk data impossible to read. You need a rigid naming system applied directly to your campaign titles so you can sort and filter spreadsheets instantly.

If you want to know exactly how much you spent defending your brand last month, you just open your spreadsheet, filter the campaign name column for | Brand |, and the data is isolated immediately.

A high CPC usually just means your account structure is too loose.

Amazon’s auction is a predictive engine. When you serve an ad, Amazon is essentially placing a bet on your behalf. If your account is a used book bin where the same keyword exists in four different campaigns, you are forcing the algorithm to run a sub-auction just to decide which of your own ads to show.

By separating your traffic, harvesting your search terms, and standardizing your campaign names, you take control of the bidding away from Amazon and put it back in your own hands.

If any of this confusing peek at our glossary for help, and/or message me directly for support.

Thank you for being a Night Owl and a member of our Forest parliament.

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If you are new here and still learning who we are and what we do visit our about us.

Introductory Guidance

The Amazon ad console presents itself as a user-friendly interface, but beneath that veneer, it is a rigid, mechanical sorting system.

When an author says they are “targeting a keyword,” they might be referring to a Search Query, a Search Term, or a Keyword Target. In the algorithm, these are handled completely differently. Conflating them leads to misallocated budget and contaminated data.

Inside the Observatory, we do not guess. We treat the search bar not as a calculator, but as a dynamic linguistic system. We map the exact relationship between what a reader types and what they intend to buy, using our tests to extract clear signals from the noise.

Read the full story for free on NoctuaForest.us

This glossary is the technical foundation for our operations.

The most common point of failure in paid media is fundamentally misreading the “Source of Traffic.” We categorize these components with clinical precision:

• Search Query: The raw, human string of text the customer actually types into the search bar. This is unpredictable and unrefined intent.

• Search Term: The specific combination of words the algorithm matches to that query.

• Keyword Target: The exact mechanical input loaded into an ad-group to intercept the Search Term.

• Negatives: The semantic boundaries we establish. By negatively targeting specific Brands, ASINs, Phrases, or Exact terms, we build “No-Fly Zones” to prevent budget bleed on irrelevant traffic.

We do not simply “run campaigns.” We organize intent through a strict hierarchy to ensure the account data remains readable at scale:

• Portfolio: High-level containment used purely for budget caps and clean catalog reporting.

• Campaign: The parent grouping that controls the daily budget and placement modifiers (e.g., Top of Search boosts).

• Ad-Group: The child grouping within campaigns that dictates default bids and houses the specific targets and creatives.

• Hot-Encoding: Our standardized use of abbreviations in naming conventions to make account syntax immediately readable.

• IPTA (Internal Product Targeting Ads): Defensive campaigns targeting your own ASINs to cross-sell and block competitors from your product pages.

• EPTA (External Product Targeting Ads): Offensive campaigns targeting competitor ASINs to conquer category market share.

We measure success mechanically through the stages of the Advertising Funnel. Looking at the wrong dial for the wrong stage means flying blind.

• Awareness (DPVR): Detail Page View Rate mechanically measures if the ad impression successfully drove the customer to consume the page content.

• Consideration (CTR): Clicks divided by Impressions. This gauges the semantic relevance of the ad to the search query.

• Conversion (CVR): Orders divided by Clicks. This diagnoses landing page efficacy and product alignment.

• Loyalty (ROAS/TACOS): Revenue divided by Ad Spend. This measures series read-through, true efficiency, and the impact of ads on organic rank.

For the Night Owls ready to move beyond basic bidding, the Observatory utilizes enterprise frameworks to parse intent and scale efficiency:

• N-gram Length Framework: Categorizing targets mechanically from Unigrams (1 word) to Quadgrams (4+ words) to locate the highest-converting intent cluster—typically the Trigram.

• Dayparting: Concentrating ad spend strictly during the specific daily windows when a category historically converts.

• AMC (Amazon Marketing Cloud): The enterprise environment required to access hourly conversion data and map Multi-touch Attribution (MTA).

• DSP (Demand-Side Platform): The programmatic tool used to secure off-console placements across Amazon’s Owned & Operated properties (Twitch, Prime Video) and the wider web.

• ASIN: Amazon Standard Identification Number. The unique identifier for your product.

• SERP: Search Engine Results Page. The primary battlefield where customer Queries meet your Keyword Targets.

• BSR: Best Seller Rank. The ultimate velocity metric. We utilize ads specifically to manipulate BSR and secure organic positioning.

• A+ Content: Enhanced brand content on a landing page. It is the primary lever for moving your Conversion Rate (CVR).

• Buy Box: The “Add to Cart” or “Buy Now” section of a landing page.

Targeting & Match Type

• Broad Match: The algorithm captures queries containing your target words in any order, along with additional words before, within, or after. Best for harvesting new semantic variations.

• Phrase Match: The algorithm locks the sequence of your target words, only allowing additional words before or after the phrase.

• Exact Match: The algorithm only triggers for the exact target or its close plural/singular variant. Used for surgical bid control.

• Close Match (Auto): Amazon matches your ad to search queries highly relevant to your metadata.

• Loose Match (Auto): Amazon matches your ad to search queries with broad, tangential relevance to your metadata.

• Substitutes (Auto): Amazon places your ad on the pages of ASINs that directly compete with yours.

• Complementary (Auto): Amazon places your ad on the pages of ASINs frequently purchased alongside yours.

• Placement: The physical location of the ad: Top-of-Search (TOS), Rest-of-Search (ROS), Product Pages, or the Homepage.

Audience & Bidding

• Segments: A partition of an audience grouped by shared behavioral qualities.

• Lifestyle: Audience segments based on behavioral likelihoods. This carries the least direct intent but offers the most scale.

• In-Market: Highly motivated customers refined by recent category browsing and firmographics.

• Dynamic Bids - Down Only: The algorithm lowers your bid in real-time for auctions mathematically unlikely to convert. This is the conservative default setting.

• Dynamic Bids - Up and Down: The algorithm can raise your bid by up to 100% for high-intent auctions. This is the aggressive scaling gear.

• Fixed Bids: The algorithm uses your exact input for every auction. Used to lock down variables during account audits.

Performance

• KENP: Kindle Edition Normalized Pages. The primary revenue engine for KDP Select authors.

• Read-Through: The mathematical rate at which a customer purchases Book 2 after finishing Book 1.

• CPC: Cost per Click. Assesses the financial rate at which you win targeting auctions.

• CPM: Cost Per Mille (thousand impressions). The alternative billing model to CPC, typically used in high-funnel display advertising.

• ACOS: Advertising Cost of Sale. Ad Spend divided by Ad Revenue. The metric for individual campaign efficiency.

• TACOS: Total Advertising Cost of Sale. Total Ad Spend divided by Total Revenue. The fundamental metric for measuring account health and organic velocity.

• NTB: New-to-Brand. A metric identifying if a customer has purchased from your pen name in the last 12 months. Essential for diagnosing the Loyalty phase.

• Last-Touch Attribution: The standard Amazon Console model where the absolute last ad clicked receives 100% of the credit for the sale.

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​The ecosystem looked completely functional on the surface, but stripping away the vanity metrics revealed a deeply fractured foundation.

The truth is that I walked into a standoff.

​A vendor was holding one of the largest subscription brand’s account hostage, demanding a 20% rate hike and halting work right before a major product launch. Our team was brought in to audit and stabilize the account: 200+ campaigns, two years of disorganized data, and zero clarity.

Read the full story for free on NoctuaForest.us

​We didn't just audit the account; we executed a ground-up operational overhaul.

​The setup was a tiered data-extraction framework, to untangle the campaigns, normalize historical performance, and map the entire product catalog to establish a clean baseline. I used Google suite to create a ‘intake form’ for processingt the quantitative & qualitative properties.

​Once we had visibility, we built a comprehensive tagging taxonomy, hot-encoded the campaigns into an enterprise-level ad tech platform, and deployed targeted programmatic audience adjustments to keep upper-funnel momentum alive while we secured the core architecture.

Our team consisted of several new hires who were required to work through months of training modules, and so the workload was daunting.

​During the handover, the account experienced a 12.5% drop in sales velocity off the run rate. For a category best-seller, a shifting category demand like this sometimes just points to audience shrink. The market itself was in flux, and compounding this contraction was bureaucratic gridlock.

The final documents were not yet signed, which tied the team's hands for weeks. We had to go against the grain.

​The legacy campaign structure was so flawed that scaling spend would have exasperated severe cross-contamination between branded and non-branded segments.

​I ran the ad-hoc gap analysis to show stakeholders the reality of the situation, because our spend was throttled during the hand-off, our costs had dropped proportionately with the market. Instead of shoveling budget into a shrinking space, we had actively protected their unit economics during a downturn.

Securing that win took a massive team effort and a custom audit framework we built in the trenches. But the biggest takeaway from dismantling an Amazon account of that scale was a permanent shift in how I look at data. I realized you have to ignore the default dashboard and anchor your analysis on three custom KPIs:

Total funnel efficiency, competitor market saturation, and propensity to purchase.

1. The Performance-Efficiency Gap

The Formula: CTR x CVR

Looking at your click-through rate or conversion rate in isolation hides the actual problem. We used this combined metric to figure out exactly why certain exact-match campaigns were bleeding cash. A great conversion rate doesn’t mean much if the CTR is too low to drive meaningful volume. By multiplying the two, you get the true, end-to-end velocity of a search term. When that combined number drops, you aren’t just getting bad traffic—you’re actively paying for impressions that stall out before the checkout.

2. Conquesting Viability

The Formula: Purchase Share / Impression Share

Impression share looks great on a weekly report, but purchase share is what actually drives revenue. Dividing the two gives you a hard number on how viable a competitive targeting bucket really is. We leaned heavily on this ratio to figure out when to aggressively cap bids on underperforming segments that were inflating our daily run rates without delivering a return. It tells you immediately whether a conquesting effort is a legitimate must-win target or just a bad allocation of capital.

3. Relative Subcategory Conversion

The Formula: Core Segment CVR vs. Subcategory Baseline CVR

It’s easy to get tunnel vision and only judge your conversion rates against your own past performance. But the real benchmark is how you stack up against the rest of your subcategory. We used this comparison to diagnose lagging performance in core competitor segments, which allowed us to separate actual traffic problems from fundamental offer problems. If your conversion rate is trailing the subcategory average, throwing more money at bids just amplifies the inefficiency. It’s a hard signal to pause the spend and evaluate your creative headlines and engagement metrics before trying to scale.

Selling copies of your book can feel like a bad trade-off, but getting to know your crowd is easier than ever. The best marketers on the platform only care about one thing. Share of voice.

Forcing bottom-of-funnel tactics onto top-of-funnel traffic is the most common reason campaigns fail to convert.

Read the full story for free on NoctuaForest.us

The psychology of this is an old concept.

In 1898, an advertising pioneer named Elias St. Elmo Lewis developed the AIDA model (Attention, Interest, Desire, Action) to map the psychological journey of a buyer.

In 1924, William H. Townsend visualized this framework as a funnel, demonstrating how a broad audience narrows down into a concentrated group of buyers.

Today, we will help you organize your thoughts into a framework, while using the Amazon advertising console.

If your campaigns are unprofitable, you can usually isolate the failure in this four-stage sequence:

1. Awareness (Measured in Impressions)

“Why does it matter at all to know this?”

Most authors assume low impressions mean they just need to raise their bids. But forcing higher bids on stagnant targets is often just buying frequency against the same uninterested shoppers.

You are paying to nag the same people over and over without generating results.

Testing: You can temporarily buy your way up the index, but your budget will quickly get liquidated the second you stop spending on targets that actually help you grow.

So why run top-of-funnel awareness targets at all?

Because it is an indexing strategy.

You may have an idea of what keywords you need to rank for, but you might not have the organic authority to do it yet.

Awareness targets buy you temporary access to that broader audience when their immediate interest is much lower.

You are intentionally accepting lower conversion rates to acquire the data needed to scale the other stages of your funnel.

This is why awareness is the widest part of your ad architecture. It provides cost efficiency and cheaper clicks, capturing shoppers with a lower immediate purchasing propensity, specifically to feed data into your higher-converting targets.

2. Consideration (Measured in Clicks)

“The advertisement is a salesman. We must evaluate it by the same standards.” — Claude Hopkins, Scientific Advertising (1923)

Once you buy the data through awareness, you have to compete on the Search Engine Results Page (SERP).

If your campaigns generate high impressions but struggle to get clicks, it usually indicates your target audience is seeing your book but choosing your competitors. The market is rejecting your offer on the page.

This requires an evaluation of your placement. Are you losing on review parity compared to adjacent ads?

Is your price point misaligned for that specific keyword intent? The click is one of the clearest indicators that your cover and title are viable against the competition in that specific sub-genre.

3. Conversion (Measured in Sales)

“Half the money I spend on advertising is wasted; the trouble is I don’t know which half.” — John Wanamaker (circa 1889)

Amazon advertising can get expensive very quickly. This is why many authors waste the half of their budget like Wanamaker on ideas to try to put out the fire.

When conversion fails here, it doesn’t automatically mean your detail page is broken. Frequently, it means you bought the wrong intent.

You targeted a broad or misaligned keyword, the shopper clicked out of curiosity, and they bounced when your detail page revealed a different trope or sub-genre than they expected.

You must qualify the traffic, and in doing so you will open up more opportunities to grow.

4. Loyalty (Read-Through): Your Defensive Perimeter

“The purpose of a business is to create and keep a customer.” — Theodore Levitt (1983)

For a series authors, long-term profitability relies heavily on read-through.

Do not rely on your back pages to do the work for you. Remind them in 2-weeks or even 6 months that they are missing out on much more.

Building a defensive perimeter helps secure the series continuation. This is why cross-targeting by adding your own ASINs into ad-groups is one of the first steps people usually learn, but what if you could take advantage of that reflex?

By deploying defensive ASIN targeting and Sponsored Display retargeting campaigns on your own catalog, you actively direct the reader where they need to go next.

This structure helps ensure the cost of acquiring that initial reader pays out over the lifetime of the series

Authors are currently begging for a “monster mandate” on Amazon’s KDP marketplace: a digital watermark, a compulsory label, a scarlet letter for the synthetic.

The reality is that GenAI isn’t just generating books; it’s mimicking the behavior of entire publishing houses and threatening the ecosystem from the inside out. Readers want to know what they’re buying.

They want to see how the sausage is made.

But here is the hard truth: while authors want readers to value the human labor behind a book, the marketplace only really cares about the utility of the final product. If a synthetic book converts into a sale, Amazon has absolutely no financial incentive to label it.

So, you aren’t just competing with a word processor anymore.

You are fighting to protect your brand.

Noctua Forest

Can you Integrate a New Agency and Protect our Market Share?

How I survived onboarding a siloed advertising team, during a hostile transition, for a market leader in hair growth supplements…

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4 months ago · 12 likes · 6 comments · Tucker B. Robinson

The Outlier Advantage

AI naturally provides a very smooth, generic slide right into the “average.” But authority—real authority—comes from the friction of thousands of hours of actual work.

Authority is knowing which “best practices” are actually just industry myths. It’s having the experience to look at a campaign and say, “I know the data said X, but in my experience, Y is the only thing that actually moves the needle.”

Your authority lives in the outliers. It’s the unconventional take. It’s the granular, gritty details of a failed experiment—the exact kind of messy data points that a massive AI model would just filter out as statistically insignificant. It’s understanding the difference between a commodity and an actual asset.

To survive this, you have to lean into being the ‘only’ person in your space. Intuition is a shared human ability, and right now, it’s our best defense against replacement. We have to trust our own agility.

Noctua Forest

Why you need a "Library" of Ad intent

What every author needs to hear starting out with Amazon ads for KDP book marketing is this…

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4 months ago · 20 likes · Tucker B. Robinson

Tactical Positioning in 2026

In a straight, one-on-one volume battle against GenAI, we are going to lose. But since Amazon isn’t going to bail us out by labeling this content, you have to use the algorithm to bury it yourself. It’s not necessarily about what you know; it’s about how fast you can action it.

2026 is basically the year the “Average” author died. If your book offers the exact same utility as a basic prompt, it’s going to be tough to justify charging for it. The algorithm is currently acting like a wood-chipper for mediocre content. To survive, you have to stop relying on the machine to do your thinking and start out-maneuvering it where it can’t follow:

1. Lock Down Your Branded Real Estate Synthetic publishers survive by siphoning traffic off established names. You can no longer trust Amazon to put your book at the top of the search results when someone looks up your pen name. You need defensive ad campaigns to definitively capture your own top-of-search placements, forcing the imitators down the page where nobody clicks.

2. Build an Off-Platform Moat A machine can spit out a manuscript, but it struggles to build a real community. Whether it’s a dedicated newsletter, Facebook ads, or a highly engaged social group, you need to feed Amazon’s algorithm with verified, high-intent human traffic. The algorithm heavily rewards external traffic, and synthetic competitors relying solely on Amazon’s internal search simply can’t compete with that boost.

3. Weaponize Granular Targeting The old “spray and pray” auto-campaigns will just drain your budget against an infinite sea of AI content. Human intuition wins in the extreme long-tail keywords. You know your specific tropes, the weird sub-genres, and the exact emotional beats your readers are looking for. Bid aggressively on the exact-match targets that actually require human empathy to identify.

Positioning yourself tactically ahead of this flood of content is really the only proactive move you have right now. Collect the fragments that haven’t been swallowed up yet, trust your own data, and use the tools at your disposal to defend your space.

By layering audience intelligence and niche negatives, we ensure that when a buyer is looking for a real solution, the synthetic noise isn’t going to cut it.

Subscribe to join the night-owls already here in our forest, and let’s discuss how to build upon our experience, expertise, authoritativeness, and trust.

Recently, I had to pull a client’s book, change the cover, and republish it as an ‘Anniversary Edition’. We had to pack up and move to a new, safer home.

The rights to sell our books were caught in the crossfire of a messy legal transition. My author’s original publisher was bought out by a massive conglomerate competitor.

Suddenly, this “big bad publisher” was squatting on our listing. They hijacked the Buy Box, artificially tanked the price, and were collecting the royalties that rightfully belonged to the author.

Read the full story for free on NoctuaForest.us

When the news came, we were legally deadlocked. We couldn’t win the Buy Box because the algorithm favored the conglomerate’s massive seller authority and their undercut pricing.

Our original listing—our straw house—had been blown down.

We were forced to bypass Amazon’s ASIN restrictions entirely while we built a case against them. And that’s what we did!

Finding shelter.

​How did we protect the author’s livelihood in the meantime? We built a brick house.

We created a completely new landing page, changed the cover and the title to officially reflect the differences of the ‘Anniversary Edition’, and submitted it as a brand-new product.

It worked. We had a safe harbor. But solving the legal hurdle created a massive conversion problem: we now had a brand-new listing with zero reviews, competing directly against the older, cheaper, heavily-reviewed version of the exact same book.

We started sending Top-of-Funnel traffic to our new listing, but naturally, a lot of it bounced. Buyers would click our ad, see the cheaper hijacked version sitting right there in the search results, and buy from the wolf instead.

It’s a brutal friction point. But the true strength of Amazon advertising is its granularity. You just have to force the momentum, build a new conversion history, and starve the competitor out.

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4 months ago · 12 likes · 6 comments · Tucker B. Robinson

​Killing our Audience.

In-market and lifestyle audiences were costing 2x our baseline for ToFu traffic. Scaling wasn’t plausible, and the terrible detail page view rates were telling us to look elsewhere. The broad audiences were walking up to the house and immediately turning around.

Instead, I shifted that display budget to target the categorical level for visits. It cut the traffic cost in half and brought in significantly better engagement.

We also allowed the brand campaigns to run broad match on the author’s pen name, pulling in high-intent clicks for 10-20 cents. (Note: It’s important to make sure that your audience is aware of the new edition via your newsletter or socials before doing this!)

The Results Eventually, the big bad wolf ran out of breath.

Between our relentless targeted ad strategy starving their organic sales, and the mounting pressure from our legal case, the conglomerate finally backed off. We won back our original listing, regained the Buy Box, and recovered all those hard-earned reviews.

But here is the best part: in the transition, we picked up some massive structural wins. By being forced to rebuild our ad strategy from the ground up, the account is now running leaner and meaner than ever.

We walked away with a 300% increase in total funnel cost efficiency and a +37% increase in purchases over the last 7 days.

The lesson? If an audience isn’t pulling its weight, kill it and fund something else. And if a publisher tries to blow your listing down, build a better house.

They are wrong. You can re-rank old books without spending a fortune, and your back catalog is actually your greatest entrepreneurial strength. The reason most off-platform ads fail isn’t the audience—it’s the timing. You own the ecosystem on your website. You build trust and authority through fresh content and “vibes.”

It’s a high intent marketplace on Amazon. People aren’t there to browse; they are there to buy.

Read the full story for free on NoctuaForest.us

When you send “uninterested” traffic to Amazon, you’re actually poisoning your own apples. This leads to high bounce rates or a mismatch for indexing, telling Amazon your book isn’t worth showing to related customers.

Amazon doesn’t just care about the sale; it cares about engagement. The algorithm uses a scoring system based on dwell-time analytics.

• Scroll-through depth: How far down the page do they go?

• Product Interactions: Are they looking at the images or reading reviews?

• Purchase History: Does this buyer actually buy in this category?

Shoppers rarely read your full product detail page—they look for a feeling.

Since a shopper usually needs 2-3 interactions with a brand before buying, your goal should be to present where you’re needed most at the most critical times. This is a conversation about placement, which is directly controlled using Amazon ads.

Even when you believe all of your titles and descriptions are perfect there is more you can do. Your updates should evolve, and you will have to admit that the work you did in the past can be improved.

The algorithm watches closely for any polishing you might do. It is much less futile then they would have you believe, but the only truth to the situation was that there was a failed launch.

The traditional publishing industry has conditioned authors to treat book launches like space rockets. The assumption is that you need a massive, capital-intensive burn on Day One, hoping you break the atmosphere before you run out of fuel.

Initial campaigns typically operate at lower spend levels, scaling as organic traffic patterns emerge. The resulting performance data identifies converting search terms, audience clustering, and the margin efficiency of specific placements.

Keyword targeting, backend search terms, and product page copy function as dynamic elements rather than static pre-launch requirements.

Generative Engine Optimization (GEO) research indicates that ongoing micro-adjustments to copy directly influence search indexing. Therefore, stabilizing conversion rates generally requires continuous modification of both the landing page and the campaign parameters over time.

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There is a specific kind of adrenaline—and subsequent dread—that comes with watching the purchases roll in for the first time when you launch a new campaign.

Years ago, I was managing campaigns for a client with a product that was objectively winning. We had higher purchase rates than every competitor in the market, yet we were buried deep in the index for our most vital keywords. The client gave us the ultimate “green light”: uncapped budgets and total control.

Read the full story for free on NoctuaForest.us

I realized then that most sellers treat placement as a blunt instrument. They rush for results, chasing “Number One” like it’s a trophy. In reality, that’s just a vanity metric. If the decision-makers aren’t the ones held accountable for the margin, you end up with a “burn and turn” strategy that fails to build a real moat.

To scale effectively, you need a framework that respects the algorithm’s “maturation” period.

The 2-Week Lead-In Phase

In the world of Amazon, you can’t just buy your way to the top and expect to stay there. You have to “walk” your way up. Because of shipping times and the way consumers weigh their decisions, there is a natural delay between a click and a ranking signal.

If you make adjustments to your placement modifiers, you must give them time to mature. Instead of jumping to a 900% multiplier, start weeks ahead of your target event.

• The Goal: Prime the pump. You are looking for high-quality traffic—impulse buyers who are predisposed to purchase and have less “reverence” for the decision-making process. They see, they like, they buy.

The cost to appear at the Top of Search (TOS) is the same at 10:00 AM as it is at 6:00 PM, but the purchasing propensity is 40% higher right after people get off work or while they are having breakfast.

• The Danger Zone: There is a lull in the middle of the day and late at night where conversion rates crater. If you blow your budget before 10:00 AM, you are effectively subsidizing Amazon’s window shoppers while missing the actual buyers.

• The Fix: Map your percent changes on a calendar. Plan to have your campaigns running at peak budget for 2 to 3 days for major events, delegating spend to coincide with those high-intent windows.

Common wisdom says spending for better placement will increase your organic rank. This is only true to an extent. Competing to be “Number One” is a massive waste of money 90% of the time. The #2 or #3 spot often yields a similar CTR with a significantly healthier ACOS.

On mobile devices, TOS captures nearly 60% of all clicks. If your mobile listing—your main image and the first few words of your title—isn’t optimized for a small screen, you are paying a premium for a bounce.

There is a fallacy that stealing a competitor’s traffic is always better than appearing on generic search terms.

Traffic derived from a competitor’s page is unnaturally effective at converting, but is a suppression tactic that will sink you in the long run. Traffic from competitor listings can disappear overnight, when the competitor changes their strategy or Amazon changes their algorithm. True brand health is built on winning the most critical terms, that define your category. We will talk about this more later in depth on how to choose these using categorical data.

The Amazon marketplace, specifically its Kindle Direct Publishing platform, stands as the digital era’s blue-chip exchange for authors. It is the fastest avenue to bring a book to market, but yet, those familiar with the ecosystem understand it is far more than a repository for literary fiction or softcover coloring books; its sheer variety is its greatest asset for the discerning advertiser.

Read the full story for free on NoctuaForest.us

However, the romantic notion of simply “standing out in the aisle” remains a far-fetched dream, highly improbable in practice, and without a rigorously structured strategy. Forget it.

Self-publishing royalty is not a myth. Authors like Andy Weir and E.L. James did not ascend to the cultural zeitgeist simply by cracking a keyword code. Their success was rooted in the visceral feeling they conveyed. By capturing the precise descriptive tones of their narratives on their landing pages, they promised readers a highly specific, emotional escape.

Paid retail search traces its roots back to Google. In 1998, Bezos contributed $250,000 as an angel investor to the fledgling search engine. Many view this as the genesis of his retail philosophy. He was so struck by Google’s stubborn, uncompromising focus on user experience that he insisted on investing his own capital, forcing the founders to reopen their funding round solely to accommodate him.

Today, the Amazon marketplace has evolved into something vastly different from standard search engine results. Fortunately, robust placement options and semantic search analysis have made managing your own marketing more intuitive.

In 2024, Amazon introduced Rufus, its retail shopping assistant. And yet, beneath the sheen of artificial intelligence, the oldest metric remains king: sales velocity. We are perhaps a decade removed from Amazon’s initial retail takeover, but to say the company prioritizes maintaining that dominance is a vast understatement. History matters here, as it is prone to repeating itself.

Retail must be treated as its own distinct discipline. It’s common to assume that technological innovation renders the technical concepts of the past redundant. In reality; technology merely compounds our efforts. An avant-garde spirit is easily crushed by inefficiency and waste. Therefore, relearning the unglamorous basics—budgeting, scheduling, organization, and time management—is not archaic; it is essential. Momentum in book promotion is a roller coaster, not a rocket ship.

Before getting into the weeds of keyword strategy, audience segmentation, and harvesting, we must establish the foundation of ranking. It begins with the customer query—the search terms discovered by analyzing what readers are actively seeking and where competitors most frequently appear. This is followed by product clarity: the undeniable, immediate value a customer perceives.

A product’s main image and landing page must operate as a portal. It is that fleeting moment where the reader is swept away in a pumpkin carriage, offered glass slippers, and promised a night away from the mundane. Consistency is the first step toward building that illusion.

Metadata manifests in the deliberate placement of keywords across the backend, titles, bullets, A+ Content, and active campaigns. The final stage of this process is what we call harvesting or simply the extraction of data to refine the algorithm’s understanding of your book.