There is a version of Amazon optimisation that was built for an algorithm that no longer exists. It was clean, logical, and relatively straightforward: get the keywords right, earn the conversions, and the ranking followed. For a long time, that was enough.
In 2026, it is not enough. The algorithm has evolved into something more behavioural, more interconnected, and more demanding of the full seller ecosystem.
What Amazon rewards today is a combination of signals, some familiar, some underappreciated, and some that most sellers are not yet managing at all.
The gap between brands that understand this and brands that do not is widening with every quarter.
Understanding how Amazon’s ranking algorithm actually works is not an academic exercise. It is one of the most direct commercial levers available to any brand selling on the platform.
A9 Was Just the Beginning: What Has Actually Changed
The A9 framework, the model most sellers were trained on, placed keyword relevance, conversion rate, and sales velocity at the centre of everything. Get those three things right, and the ranking moves. That model was not wrong; it was simply incomplete.
What has shifted is the weight given to behavioural signals. Click-through rate from search results now tells the algorithm something meaningful; a listing that consistently earns the click is signalling that it answers search intent better than its competitors. Dwell time on the listing page has become a proxy for content quality. Return rate has emerged as a suppression signal; Amazon does not want to rank products that customers regret buying.
External traffic, from email, social, and brand-owned channels, has become a positive ranking signal in its own right. Amazon now reads inbound traffic from outside its ecosystem as evidence of genuine brand demand. Seller authority, too, has taken on greater weight: account health, fulfilment consistency, and review velocity all contribute to how the algorithm perceives a seller’s reliability.
The industry has taken to calling this evolution “A10,” though that is a shorthand coined by practitioners, not an official Amazon designation. What matters is not the label; it is the recognition that the rules have changed, and that optimising for the old model while the new one governs results is an expensive way to fall behind.
The Signals That Actually Move Rankings in 2026
Sales velocity and conversion rate remain the foundation. Nothing has displaced them, and any account that gets the fundamentals wrong here will not be rescued by optimising further up the signal stack. But the differentiator, what separates a listing that ranks from one that stalls, has moved.
Click-through rate from search results is now a more powerful signal than most sellers account for. A listing with a consistently strong CTR tells the algorithm that it is answering search intent effectively. This elevates the main image strategy, pricing presentation, and review count visibility to ranking inputs, not just conversion inputs.
Relevance signals have expanded well beyond the title. Backend search terms, A+ content architecture, and customer Q&A data all feed into how the algorithm reads listing relevance. External traffic, sessions arriving from outside Amazon, signals brand demand that the platform rewards with organic visibility. Review quality and recency continue to matter. And return rate functions as a counterweight: ASINs with disproportionately high returns face algorithmic suppression regardless of sales volume.
One area that is frequently underestimated is the degree to which these signals behave differently across Amazon’s international marketplaces. For brands pursuing Amazon International Expansion, the same account architecture that performs well in the US does not automatically transfer. Search behaviour, keyword relevance weighting, and external traffic signals all vary by market, which means ranking strategy in the UK, Germany, UAE, or Japan requires market-specific calibration, not a copy of the domestic approach.
Why PPC and Organic Ranking Are No Longer Separate Conversations
One of the most consequential shifts in how Amazon’s algorithm operates is the way it reads paid performance as a signal about organic quality. PPC and organic ranking are no longer separate levers managed by separate teams with separate goals. They are feeding the same model.
When a sponsored placement generates strong CTR and converts consistently, those signals spill over into the organic ranking for the same keywords. The algorithm reads that performance as confirmation that the listing answers search intent well, and rewards it accordingly. The inverse is equally true. A poorly structured PPC account, one generating high spend, low conversion, and traffic from irrelevant broad match queries, actively sends negative signals. The algorithm reads poor conversion on paid placements as evidence of a listing-to-query mismatch, and organic rank suffers as a result.
This means that decisions about campaign architecture, match type segmentation, and keyword targeting are no longer just advertising decisions. They are ranking decisions. The search terms a campaign attracts, and the conversion rates those terms produce, are all inputs into the same algorithmic model that determines where a listing appears organically.
What This Means for Listing Strategy in 2026
Given where the algorithm’s weight has shifted, listing optimisation in 2026 looks different from what most sellers were taught. Keyword research and title optimisation remain necessary, but they are table stakes now, not differentiators. The real leverage sits in conversion architecture.
Main image: CTR is a ranking input. A listing that consistently earns the click from search results is telling the algorithm something valuable, which means image strategy is no longer purely a conversion conversation; it is a ranking one. A+ content, similarly, contributes to dwell time signals that the algorithm reads as an indicator of content quality and relevance.
Inventory consistency has a more direct impact on ranking momentum than many sellers appreciate. A listing that goes out of stock loses ranking position, and that momentum can take weeks to recover, sometimes longer in competitive categories. Pricing competitiveness, while not a direct ranking signal, feeds conversion rate, which feeds ranking. And sellers who are managing keywords without managing these conversion-layer signals are leaving significant ranking potential unaddressed.
How We Approach Ranking Strategy at Sellers Umbrella
The shift in how Amazon’s algorithm operates has made the traditional separation between PPC management, listing optimisation, and SEO strategy increasingly difficult to justify. At Sellers Umbrella, every engagement is built on the recognition that these workstreams are not parallel; they are interconnected, and they need to be managed as a single system.
Our Keyword Evolution Path framework is the mechanism through which we align paid and organic keyword strategy. Rather than managing a keyword list for ads and a separate one for listing copy, we track how keywords perform across both channels, identifying where paid performance is building organic momentum, where organic ranking can reduce the pressure on paid spend, and where the two are working against each other. Brands that align these inputs consistently see compounding ranking improvements over time, as the positive signals from each channel reinforce the other.
This is what structured Amazon Account Management Services are built to do, not manage individual campaigns or listings in isolation, but align every signal the algorithm reads into a system that compounds over time rather than competing with itself.
For brands evaluating an Amazon Marketing Agency USA, the distinction worth scrutinising is whether the agency manages ads or manages rank. The former produces spending. The latter produces growth.
Every account carries a unique combination of ranking signals, some working in its favour, some suppressing the results it should be achieving. The most direct next step is understanding which is which.
We carry out full ranking signal audits as the starting point for every engagement, mapping exactly where the algorithm is being helped and where it is being hindered. If organic rank is not responding the way the account’s performance suggests it should, the signal architecture is almost always where the answer sits.
Frequently Asked Questions
1. What is the difference between A9 and A10 on Amazon?
A9 refers to the version of Amazon’s ranking algorithm that prioritised keyword relevance, conversion rate, and sales velocity as its primary inputs. “A10” is not an official Amazon designation; it is a term used by practitioners to describe the evolution of the algorithm toward behavioural signals: click-through rate, dwell time, return rate, external traffic, and seller authority. The substance of what has changed matters more than the label.
2.Does Amazon PPC affect organic ranking?
Yes, in a meaningful way. The algorithm reads PPC performance as a proxy for listing quality. Strong CTR and conversion rates on sponsored placements send positive signals that influence organic ranking for the same keywords. Conversely, poorly structured campaigns that drive high spend and low conversion can suppress organic rank by signalling poor listing-to-query relevance.
3.What are the most important Amazon ranking factors in 2026?
Sales velocity and conversion rate remain the foundation. Beyond those, click-through rate from search results, external traffic signals, review quality and recency, return rate, and seller authority (account health, fulfilment consistency) are all significant inputs. Relevance signals have also expanded beyond title keywords to include backend terms, A+ content structure, and customer Q&A data.
4. How long does it take to improve Amazon organic ranking?
It depends on the category, the account’s current signal profile, and the depth of structural changes being made. In accounts where PPC structure and listing optimisation are aligned, we typically see measurable organic rank improvements within 8 to 12 weeks. More competitive categories may take longer to respond, but the compounding nature of aligned signals means momentum builds over time.
5. Does external traffic help Amazon's ranking?
Yes. Amazon now reads inbound traffic from outside its ecosystem, from social channels, email campaigns, and brand-owned properties, as a signal of genuine brand demand. Listings that demonstrate external demand receive a positive ranking signal that listings relying solely on Amazon’s internal traffic do not.
6. How does Amazon’s algorithm use conversion rate to rank products?
Conversion rate tells the algorithm how effectively a listing converts the traffic it receives into purchases. A high conversion rate signals strong listing-to-search-intent alignment, which the algorithm rewards with improved organic placement. It also interacts with other signals, a listing with strong conversion but poor CTR is leaving ranking potential on the table at the search results stage, before a shopper ever reaches the page.
