What Amazon Rewards in 2025: Oleksandr Trotsenko’s View

Experienced data analyst on the key factors behind product visibility on Amazon, how sellers can achieve scalable growth without relying heavily on expensive ad campaigns, and why paid advertising alone is no longer a viable long-term strategy in 2025.
In the first quarter of 2025, Amazon announced a nine percent increase in revenue year-over-year, reaching 155.7 billion dollars. However, the company also signaled potential challenges ahead, pointing to newly imposed tariffs on imports from China. These tariffs, affecting more than half of the products sold on the platform, have intensified pressure on third-party sellers to maintain profitability without raising prices.
To understand what drives product visibility on Amazon, how sellers can scale without depending on costly ad campaigns, and why paid advertising alone has become too expensive as a growth strategy in 2025, we turned to Oleksandr Trotsenko — founder and CEO of Asinstat.com and creator of a ranking methodology that has helped many sellers cut ad spend and boost organic sales.
Oleksandr is a data analyst and founder of a software-as-a-service (SaaS) platform that sellers use to optimize product rankings and, as a result, reduce advertising costs. With over a decade of entrepreneurial experience, he launched and scaled a brand that ranked among the top 500 global Amazon sellers, delivering over 3 million units across multiple categories. Oleksandr has developed a proprietary copyright-protected methodology, “Principles of Ranking and Product Promotion in Search,” that decodes Amazon’s organic search logic through measurable variables such as click-through rate (CTR) and conversion rate. Major companies such as aggregators and portfolio brands turn to Oleksandr for consulting, enabling them to dramatically reduce advertising costs and significantly increase their share of organic sales. Mr. Trotsenko is also the co-founder of multiple e-commerce ventures generating over 14 million dollars annually, a speaker at international conferences, and a recipient of industry recognition such as the Grand Business Event 2024 award.
In 2025, he was granted senior membership in the European Committee for Data Management and Analytics (ECDMA). This professional body recognizes accomplished leaders in data science, digital infrastructure, and applied analytics in Europe and North America.
Oleksandr, what do Amazon sellers need to be prepared for with rising tariffs on Chinese imports and growing pressure on profitability?
From my perspective, 2025 brings a shift that requires sellers to think more structurally about profitability. Tariffs on Chinese imports continue to reshape cost dynamics across sourcing, logistics, and inventory planning. These changes increase financial exposure at every stage of operations. Sellers who focus exclusively on advertising may face growing inefficiencies, as returns on ad spend become less predictable.
Those who invest in understanding how Amazon’s ranking mechanisms work, primarily through click-through rate, conversion, and keyword-level economics, will likely navigate this environment more resiliently. A performance system that aligns with marketplace logic offers more stable and scalable results than reactive tactics.
You mentioned the importance of understanding how Amazon’s ranking mechanisms work. What key metrics influence organic visibility, and how can sellers interpret them effectively?
The key metrics influencing organic visibility are impressions, click-through rate (CTR), and conversion rate. Among them, CTR plays a central role, reflecting how relevant a product appears for a specific keyword. While conversion also matters, it is secondary to CTR — ultimately, product ranking on Amazon depends on the profit a specific item generates for Amazon for a given keyword. These metrics work about competing listings, not in isolation. Visibility improves when a product outperforms others for the same keyword. Sellers who track performance at the keyword level and refine content, pricing, and positioning accordingly often see sustained organic growth.
For sellers trying to scale without relying on paid advertising, what approach delivers the most consistent results today?
Consistent growth comes from aligning product presentation with buyer expectations at the keyword level. That process starts with structuring listings around measurable buyer behavior. Each element of the listing supports a specific performance signal. For example, the title introduces alignment, the image drives CTR, and the value stack drives conversion. When this alignment is accurate, the platform increases impressions organically. Sellers who track performance by keyword cluster can scale traffic without increasing spend. Over time, organic visibility compounds when inputs remain consistent. This reduces exposure to advertising volatility.
Over 100 Amazon sellers across the U.S. have successfully applied your methodology, many of whom report 30–70% organic sales growth and ad cost reductions from 12% to 5%. How do you identify where the most immediate impact can be made?
The process begins with a complete data audit. We examine where traffic is present but underperforming — often due to misaligned visuals, pricing, or keyword targeting. CTR gaps reveal missed expectations. Low conversion with substantial CTR indicates unclear value or poor segmentation. We adjust one variable at a time to isolate the impact. The highest-leverage points are often found in overlooked keyword clusters, where competition is weaker and the algorithm responds faster. Once early traction is restored, traffic can grow without incremental ad input. That creates efficiency and protects the margin.
What makes paid advertising less effective as a primary growth strategy in 2025?
Paid advertising can compensate for a lack of organic traffic, but often becomes prohibitively expensive. Increased tariffs, product costs, and platform fees reduce the room for error. Sellers using advertising as a traffic substitute usually face diminishing returns. A listing that performs poorly organically will rarely become efficient through paid traffic. Buyers behave differently in sponsored results versus organic search. The algorithm reflects that. When the core performance is weak, paid campaigns amplify inefficiencies. Sustainable growth depends on organic signals, not exposure volume. That makes system-level optimization more relevant than ad tactics.
Despite high competition, your methodology helped the one brand achieve category dominance within six months. How do you create dominance without price wars or excessive ad budgets?
Dominance occurs when the listing becomes the most predictable source of revenue for a specific keyword cluster. The process starts with matching keyword demand to precise listing signals — image hierarchy, title structure, and offer logic. The listing earns traffic not by being cheaper, but by being clearer. When CTR and conversion exceed the market average, the algorithm rewards the product with increased visibility. In the specific case, we prioritized performance consistency over aggressive bidding. Visibility compounding replaced daily ad scaling. As sales stabilized across clustered terms, the brand displaced competitors naturally. This approach eliminates waste and creates long-term positioning.
Some of your clients have scaled to seven-figure revenue organically in under a year. How do you adapt your methodology across such different categories?
Each category has its own traffic structure and competitive density. The framework adapts by analyzing keyword clusters independently. In mature markets, we focus on differentiation and CTR uplift. In emerging ones, the speed of indexing and consistent conversion drive results. Data inputs — like session depth, review velocity, or pricing elasticity — help define the execution model. The methodology remains consistent across cases. What changes is the calibration of thresholds. Performance is tracked against the expected equilibrium in each keyword group. That allows the same system to scale across niches without losing precision.
Your original RESULT formula has helped clients recover top organic positions within 21 days of a full account suspension. How do you detect and resolve systemic failures in critical scenarios?
In recovery scenarios, each variable in the formula is reintroduced in sequence. First, we restore indexing and track which keywords regain visibility. Then we test CTR through controlled campaigns. Conversion is monitored at the keyword-level revenue. Without alignment across all inputs, the algorithm withholds full exposure. The RESULT formula acts as a diagnostic model. It shows which element is delaying recovery. By isolating weak points, we restore balance and rebuild ranking performance faster. That process depends on historical data, structured testing, and strict pacing, not volume.
Your platform has helped sellers with six — to eight-figure revenues reduce listing preparation time by over 60 percent. How do you integrate automation with each client’s individual data needs?
The platform automatically handles routine tasks like indexing checks, CTR benchmarks, and performance deltas. This eliminates hours of manual diagnostics. At the same time, users receive decision-layer analytics—focused recommendations that respond to their keyword portfolio, category profile, and current market behavior. Each account runs on its data logic. The system adapts thresholds dynamically, based on seller goals and observed feedback loops. For example, two similar products may receive different keyword strategies due to price elasticity or audience tolerance. Automation creates scale, but custom analytics drive execution. This structure ensures accuracy without losing relevance.
Looking ahead, what mindset or strategic focus will matter most for marketplace sellers who want to stay competitive in the next few years?
Long-term performance grows from discipline and structured execution. Sellers who approach data as a feedback loop and refine each customer journey stage create durable results. The marketplace rewards clarity, consistency, and alignment with buyer intent. Growth comes from repeated actions that match platform logic, rather than reactive decisions or trend-based moves.
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