Cracking Rufus and the Story Behind The Blueprint   Welcome to this special edition of Seller Sessions, where Danny McMillan dives deep into Amazon’s AI-driven evolution with Oana Padurariu and Andrew Bell. In today’s episode, they unpack the sicence behind Rufus and how it words on a technical level.     Danny kicks off by highlighting the monumental shift Amazon is undergoing with the introduction of Rufus, a powerful AI-driven recommendation engine designed to personalize the shopping experience. Unlike traditional keyword-based search algorithms, Rufus interprets natural language queries, connecting questions and answers to products through. Noun Phrases and semantic similarity models.   “The era of static, keyword-stuffed listings is over. Rufus marks a sea change in how customers find and purchase products online. We need to think beyond keywords and embrace AI-driven optimization.” Lexical Matching vs. Semantic Similarity   Lexical Matching vs. Semantic Similarity: Traditional search ranks results based on exact keywords. Rufus goes deeper by understanding noun phrases and their meaning, even if the exact words aren’t present. Inference and Reasoning: Rufus interprets questions and product features to make recommendations based on real-world use cases. For example, asking “What’s the best running shoe for flat feet?” triggers suggestions for products with enhanced cushioning, even if the product description doesn’t explicitly say “flat feet.” The Core of Rufus: Noun Phrase Optimization (NPO) Andrew introduces a new concept for sellers: Noun Phrase Optimization (NPO). He explains that instead of focusing on individual keywords, sellers should craft rich noun phrases that Rufus can interpret and rank effectively. Example: Instead of just “journal,” optimize with: Material: Leather-bound Type: Writing journal Purpose: Gift for writers Key Takeaways: Build descriptive, semantically rich noun phrases that Rufus can infer meaning from. Structure listings using core noun phrases with descriptive modifiers (e.g., “stainless steel pour-over coffee maker”). “Think of it as building a noun stack — material, type, purpose. Each layer enriches the meaning for Rufus to process and connect with customer queries.” Why Sellers Must Embrace AI Search Danny, Oana, and Andrew agree that AI-driven search is the future, and sellers who adapt early will reap the benefits. However, they caution against gutting existing listings without a strategic approach. Here’s how to get started: Test on Lower-Performing Products Apply NPO strategies to failed or underperforming products before risking top sellers. Optimize Image Text Rufus reads text in images. Ensure your action shots and infographics include semantic phrases. Utilize Backend Attributes Fill in optional attributes in the backend to help Rufus better understand your product. The Semantic Similarity Model   In simple terms, Rufus connects questions to products through a ranking process that interprets meaning rather than matching exact keywords. It uses click training data to learn from shopper behavior and noun phrases to rank products based on their semantic relevance. Example: Question: Are car seats interchangeable? Answer: Universal infant car seat. Rufus makes this connection without the exact phrase appearing in the product description. Practical Strategies for Sellers   Noun Phrase Structure for Titles: Descriptive Noun Phrase: Professional kitchen knife set Secondary Noun Phrase: Chef’s cooking collection Qualifier: With German steel blades Bullet Points: Lead with strong noun phrases that connect features to benefits. Why Data Matters — And Why It’s Still Missing There’s no direct data for Rufus performance yet. She stresses the need for Amazon to release reporting tools that measure Rufus-driven sales and performance.   However, Danny highlights a workaround: “Test your product detail pages (PDPs) with Rufus. Ask questions about your product and see how Rufus responds. If the answers are inaccurate or missing, that’s a sign you need to optimize.” The Future of Amazon Search and AI “AI-based search is here to stay. Keywords aren’t dead, but the way we use them is changing. We need to think conversationally, contextually, and customer-first.” Key Takeaways: How to Future-Proof Your Listings Embrace Noun Phrase Optimization (NPO)Create rich, descriptive noun phrases that Rufus can interpret. Test Your PDPs with RufusAsk questions and analyze the responses to identify gaps. Leverage Backend AttributesComplete optional attributes to improve product discovery. Final Thoughts from the Guests Andrew: “The rise of Rufus marks a shift to AI-driven discovery. Sellers must start thinking beyond traditional SEO and embrace inference-based optimization.” Oana: “2025 will be a pivotal year. Rufus will continue to evolve, and sellers must adapt to stay competitive. The key is understanding how Amazon’s AI reads and ranks your listings.” Want More Insights? Looking for a Free PPC Audit? 👉 https://www.databrill.com Check out the article: Rufus – The Blueprint 👉 https://sellersessions.com/rufus-the-blueprint/ Out Now on SellerSessions.com “The Cold Reality of the Honeymoon Period and External Traffic” 👉 https://sellersessions.com/the-cold-reality-of-the-honeymoon-period-and-external-traffic/ 💬 Your opinion matters! Drop us a comment and join the conversation. Sharing is caring — hit the like button, give us some love, or share this post with someone who’ll benefit!

Trump’s Tariffs for Amazon Sellers Welcome back to Seller Sessions, where we dive deep into e-commerce strategies to help sellers thrive. This episode features the returning expert Kian Gulzari, sharing actionable insights on how to navigate the recent tariff threats, optimize sourcing strategies, and effectively prepare for Chinese New Year challenges. Key Discussion Points Impact of Trump’s Proposed Tariffs Fentanyl Crisis Connection: President Trump’s proposed 10% tariff on Chinese goods is a response to the U.S. fentanyl crisis, allegedly linked to China. This could have significant implications for sellers importing from China. Immediate Actions for Sellers: Use a cost calculator to evaluate the impact of a 10% increase on your landed cost. Negotiate reduced supplier costs if your margins are slim. Implement a China Plus One Strategy to diversify your supply chain, sourcing from countries like India, Vietnam, or El Salvador. Sourcing Diversification Tools Alibaba’s Country Filter: Quickly identify suppliers from alternative countries based on your product’s raw materials. Import Yeti: Research where top brands source their products and identify potential suppliers in non-China regions. Challenges with Mexico as an Alternative Trump has also threatened a 25% tariff on Mexican goods, complicating plans for those sourcing from or considering Mexico as a secondary supplier. Preparing for Chinese New Year Production Challenges: Workers may rush production before leaving, leading to potential quality issues. Not all workers return after the holiday, resulting in possible delays and retraining periods. Key Tips: Schedule pre-shipment inspections to ensure quality control. Communicate proactively with suppliers about timelines. Avoid placing critical orders immediately after the holiday to allow time for new workers to adjust. Long-Term Strategies for 2024 and Beyond Building Strong Supplier Relationships Visit your suppliers’ factories to foster better communication and gain insights into their processes. Negotiate better terms, such as reduced deposits or extended payment deadlines. Leveraging Annual Forecasting Provide suppliers with a forecasted order plan for the year to: Secure economies of scale. Reduce lead times by pre-ordering raw materials. Maintain consistent product quality. Factory Insights and Cost Optimization Understanding factory processes can reveal opportunities to streamline production and reduce costs. For instance: Adjusting design elements to accommodate machinery rather than manual work can save time and materials. On-site visits allow you to identify inefficiencies in real-time. Future-Proofing Your Supply Chain Be proactive in exploring global sourcing options, staying prepared for potential geopolitical or economic disruptions. Enhance your expertise by engaging in communities like Sourcing School or attending the Canton Fair. Key Takeaways The proposed tariffs and geopolitical shifts demand flexibility and strategic planning in your sourcing approach. Diversification is critical—explore multiple sourcing options and prepare contingency plans. Building strong, long-term relationships with suppliers can save costs and improve quality. Properly plan for Chinese New Year to avoid delays and ensure consistent product quality. Final Advice from Kian: “The best way to optimize your sourcing is to be on the ground—visit your suppliers, negotiate terms in person, and develop products collaboratively.” Connect with Kian YouTube: Sourcing with Kian – Expert tips and sourcing insights. Community: Sourcing School – Learn advanced strategies to elevate your e-commerce game. Resources and Links Looking for a Free PPC Audit? Databrill Out Now on SellerSessions.com: "The Cold Reality of the Honeymoon Period and External Traffic" Join the Conversation: Your feedback matters! Drop a comment, share your thoughts, and let’s learn together. Remember, sharing is caring—hit the like button, give us some love, or share this post with someone who’ll benefit! 🚀

Back from the Brink: A Deep Dive into Mental Health and Resilience with Paul Baron In this episode of the Seller Sessions Podcast, Danny McMillan brings a heartfelt and inspiring conversation with entrepreneur Paul Baron. Known for his expertise in the Amazon ecosystem, Paul shares an unfiltered narrative about his personal struggles with mental health, his journey through immense challenges, and his path to recovery. This conversation offers a unique mix of raw vulnerability and actionable insights, providing listeners with lessons on resilience, self-awareness, and community. Key Themes and Takeaways 1. The Entrepreneurial Highs and Lows Paul Baron and his wife launched their Amazon brand in 2015, initially experiencing significant success: Grew from $50,000 in first-year sales to $250,000 the following year. Garnered media attention with appearances on The Rachel Ray Show and partnerships with notable figures. The trajectory shifted drastically by 2020 due to the pandemic's impact on their travel-dependent product line, skyrocketing operational costs, and mounting debts. 2. Mental Health: The Hidden Struggles Paul openly discusses seasonal affective disorder (SAD), anxiety, and ADHD, which compounded as his business faced setbacks. The impact of public personas: Paul described the disconnect between his public image of success and his personal battles. The danger of unresolved issues: Suppressing struggles led to cycles of burnout and self-doubt, a pattern that nearly led him to a breaking point. 3. The Breaking Point and Turning Things Around July and August 2023 marked the lowest period for Paul, when financial and personal stresses collided: Public scrutiny from a Bloomberg article exposed his struggles. Personal relationships were strained, culminating in a pivotal argument with his wife that led to self-reflection. The intervention of a friend, Tim Jordan, was crucial. Tim pushed Paul to seek professional help, offering both support and accountability. 4. Rebuilding with Purpose With therapy, physical activity, and a redefinition of his purpose, Paul began to heal: Therapy and psychiatric support helped address lifelong anxiety and uncover healthier coping mechanisms. Commitment to physical activity: Paul found solace in hockey and daily walks with his family. Reconnecting with creativity: His success as a TikTok content creator brought new income streams and restored a sense of accomplishment. Actionable Lessons for Entrepreneurs Recognize the Signs of Mental Strain Seasonal changes, racing thoughts, or persistent feelings of worthlessness may signal deeper issues. Don't ignore them. Seek Help Early Therapy isn’t just for crises. Routine check-ins can provide clarity and prevent small issues from escalating. Build a Support Network Surround yourself with people who will hold you accountable. As Paul’s story shows, even one intervention can change a life. Balance Business and Identity Paul’s journey underscores the importance of not tying your self-worth to your professional success. Redefine Purpose When business challenges arise, revisit your "why." For Paul, reconnecting with his family and creativity gave him new motivation. Memorable Quotes "Fixing the outside doesn’t fix a broken inside." – Danny McMillan "Men have to feel useful. It’s not just about love; it’s about purpose." – Paul Baron "Your brain might be a little broken, but that’s okay. You can heal." – Paul Baron Round-Up and Final Thoughts Paul Baron’s story is a testament to the resilience of the human spirit. His candid discussion highlights how vulnerability, combined with action, can lead to profound change. This episode is not just a reflection on mental health but a roadmap for anyone navigating personal and professional crises. If you’re struggling or know someone who is, take the first step: talk to someone, seek help, and prioritize your well-being. Resources Mentioned Talkiatry App: A tool Paul used to connect with a therapist aligned with his beliefs. TikTok Creator Content: Paul’s creative outlet that became a new revenue source. Looking for a Free PPC Audit? https://www.databrill.com/ Out Now on SellerSessions.com: The Cold Reality of the Honeymoon Period and External Traffic https://sellersessions.com/the-cold-reality-of-the-honeymoon-period-and-external-traffic/ Your opinion matters! Drop us a comment 📣 and join the conversation. Remember, sharing is caring—hit the like button 👍❤️, or share this post with someone who’ll benefit! 🔄

Main Image Monthly - Winning the Amazon Game with Data   Welcome back to another Main Image Monthly episode of Seller Sessions, where we analyze, test, and refine product imagery to help brands optimize their Amazon listings. Hosted by Danny McMillan, this episode features a stellar lineup: Sim Mahon: A seasoned seller managing six private label brands and driving eight-figure revenues, Matt Kostan and Andri Sadlak: Founders of ProductPinion and 7-8 figure sellers, with over a decade of experience in e-commerce growth strategies. Then stop the scroll expert Dorian Gorski on the main image optimisation, and Oana Padurariu (image recognition insights), with special guest Luke T. Shelley from the viral TikTok brand Lucky Egg.   Meet the Brand: Luke T. Shelley Luke, co-founder of Lucky Egg, shares his brand's journey from selling stationery products to launching a party game brand in 2021. With TikTok as a primary driver for traffic, the brand has achieved exceptional success. However, the Amazon listing needed fine-tuning to ensure consistency across traffic sources and optimize conversions. Qualitative Testing: Real Customer Feedback Product Opinion provided unfiltered feedback from 10 board game enthusiasts, focusing on three key questions: How could this party game’s images be improved? What are the top features and benefits that matter most? Why wouldn’t someone buy this game? Top Objections from Testing: Dark and Dull Colors: The black box was criticized for feeling uninviting and not matching the festive vibe of a party game. Looks Fake: Overuse of Photoshop, especially on the headphones, led to concerns about product quality. Too Busy: Customers felt the main image was cluttered with text and unclear instructions. Customer Quote: "The black background makes it look dull. I can’t immediately tell it’s a party game. The text is too small and busy." Concept Testing: Data Meets Creativity The team ran multiple iterations of the main image to address feedback while testing hypotheses: Original Image: Straightforward, clean box with headphones and cards. Concept A: Simplified, more focus on the headphones with gameplay text. Concept B: Open-box concept with brighter interior colors, added human element (smiling faces), and prominent TikTok branding.   Round Two: Refining the Winning Concept The team didn’t stop there. They hypothesized further improvements: Concept D: Enhanced the original image by rearranging elements and improving clarity. Concept E: Added customer-requested features, such as player count, playtime, and ease of use, directly on the box.   Key Takeaways from Testing: Clarity is King: Customers prefer simplicity and a clear understanding of the product. Highlight Key Benefits: Playtime, player count, and ease of play are critical for party games. Social Proof Works: The “Best Party Game” badge was a standout element. Quotes Build Trust: Consider adding a powerful testimonial or review to the packaging for instant credibility. Amazon Recognition Insights Oana shared critical insights about how Amazon’s algorithm interprets images: The current image risks being labeled as “electronics” or “business cards” due to the black headphones and text-heavy design. Recommendation: Incorporate the word “game” on the box and cards to ensure accurate indexing. Key Optimization Tip: Run Amazon Recognition tests before finalizing images to ensure they are correctly categorized by Amazon. Sim’s Key Takeaways Quotes Matter: Adding a humorous or impactful quote can drive purchases, as seen with competitors. Giftable Packaging: A party game is often purchased as a gift, so showcasing appealing packaging is crucial. Segmentation: Keep the core audience (e.g., adults, party-goers) in mind when refining designs. Dorian’s Expert Insights Testing Process: Creative optimization requires multiple iterations. Testing with real customer feedback separates opinion from data. Simplify and Enhance: If the original image performs well, focus on incremental improvements rather than dramatic changes. Final Advice: Focus on clarity and a focal point that attracts attention. For party games, simplicity and fun elements are key. Next Steps for Lucky Egg Luke will balance all feedback to test a refined main image: Retain the award badge with potential source credibility. Incorporate key gameplay features (e.g., player count, ease of play). Explore adding a reputable quote or humorous testimonial. Address Amazon’s recognition by ensuring “game” is part of the image design. Final Round-Up This episode showcased the power of combining data and creativity in image optimization. From brutal customer feedback to multiple rounds of testing, the process demonstrated that even strong-performing listings can be improved with methodical, customer-focused changes. Key Learnings for Sellers: Always test hypotheses; assumptions don’t drive conversions. Listen to your target audience—their feedback reveals critical pain points. Use data-driven tools like Product Opinion and Amazon Recognition to validate changes. Follow Lucky Egg on TikTok: @luckyegg for inspiration on creating viral, engaging content. Connect with Luke T. Shelley via LinkedIn or email: luke@luckyegg.co. Looking for a Free PPC Audit? https://www.databrill.com/ Out Now on SellerSessions.com: "The Cold Reality of the Honeymoon Period and External Traffic" https://sellersessions.com/the-cold-reality-of-the-honeymoon-period-and-external-traffic/ Your opinion matters! Drop us a comment 📣 and join the conversation. Sharing is caring—hit the like button 👍❤️ and share this episode! 🔄

AI Magic: Unlocking Data Analysis and Creativity for Amazon Sellers Episode Summary In today’s episode of Seller Sessions, Danny welcomes first-time guest Joanna Lambadjieva, an expert in AI consultancy for e-commerce sellers and founder of Amazing Wave. Jo brings her 13 years of experience across digital marketing, agency, and aggregator spaces to discuss the game-changing role of AI in data analysis for Amazon sellers. Why AI Isn’t Just for Text and Images: Jo shares how sellers often overlook the incredible capabilities of AI for data analysis. By leveraging tools like ChatGPT and Claude, sellers can unlock deep insights into their performance, category trends, and customer behavior. Understanding Large Language Models (LLMs): Jo breaks down how LLMs like ChatGPT and Claude, while text-focused, can also handle complex numerical analysis using Python and JavaScript extensions. The best part? You don’t need to be a coder to use them. Claude vs. ChatGPT: Jo compares the strengths of these two leading AI tools: Claude excels in semantic text analysis—perfect for understanding customer reviews and uncovering deeper insights like benefits, negatives, and use cases. ChatGPT shines in numerical data processing—ideal for tasks like keyword analysis, spreadsheets, and producing Excel-ready outputs at scale. AI in Creativity and Design: AI is only as good as the human behind it. Jo and Danny discuss how AI, combined with domain knowledge, can enhance image creation and creative processes for Amazon listings, but true creativity still comes from human insight. Practical Use Cases for Sellers: Jo highlights the power of categorization with AI. Whether grouping keywords into themes or analyzing best-seller product features, categorization helps sellers understand their market, positioning, and trends more effectively. Key Takeaways: Experiment with multiple AI tools like ChatGPT and Claude to see which works best for your specific needs. Focus on providing clear prompts and context for better AI outputs—structure your data and analysis requests step-by-step. Leverage AI to categorize and analyze keywords, product features, and customer reviews to uncover actionable insights. Use AI for heavy lifting in data and creativity, but combine it with human expertise for the best results. About Jo Lampagina Founder of Amazing Wave, an AI consultancy for e-commerce sellers. Publisher of the AI for E-commerce Newsletter, reaching over 13,000 subscribers. Co-host of the upcoming New Frontier Podcast, exploring the intersection of AI and e-commerce. Connect with Jo: LinkedIn: Joanna Lambadjieva (Joanna Lambadjieva) Email: jo@amazingwavedigital.com Seller Sessions Live, 2025 – Grab tickets now: https://sellersessions.com/seller-sessions-live-2025/ Watch this podcast in its full glory. Out now on YouTube: 🔗 https://www.youtube.com/@SellerSessions

Mastering Amazon PPC and Organic Rankings with Anthony Nguyen Introduction: In this episode of Seller Sessions, host Danny McMillan welcomes Anthony Nguyen , a first-time guest, accomplished Amazon seller (sold in the peak of the aggregator run, and co-founder of JungleAce. With experience scaling his own Amazon business to seven figures and a strong background in data-driven PPC strategies, Anthony dives deep into the art of mastering Amazon's search engine and unlocking organic rankings.   Follow along on Youtube Key Takeaways: Top-of-Search PPC as a Data Source: Anthony explains how using PPC at the top of search results can act as a controlled split-testing environment to fine-tune conversion rates and CTRs. Keyword Validation and Ranking Feasibility: Learn how data from Amazon's Search Query Performance (SQP) report helps determine whether a keyword is worth targeting. Anthony introduces his three-step system for validating ranking potential. Improving Conversion Rates: Dive into split-testing strategies to enhance product listings, ensuring your conversion rate surpasses market standards and unlocks top ranking opportunities. The Relevance Web: Explore Anthony's theory on Amazon's interconnected keyword groups and how ranking for a single root keyword can improve rankings across related long-tail keywords. Strategic PPC Execution: Discover how to focus campaigns on high-value keywords, adjust placements for top-of-search visibility, and optimize bids to minimize wasted ad spend. Decoding Ranking Signals: Learn to interpret Amazon’s ranking fluctuations and stability periods, and use them to guide decision-making during launches or relaunches. Real-World Case Studies: Anthony shares actionable insights from campaigns, illustrating how conversion rate changes, pricing strategies, and competitor actions directly impact rankings. Reach Anthony - https://www.linkedin.com/in/anthony-nguyen-%F0%9F%9F%A2-30522ba7/ Out Now on SellerSessions.com 'The Cold Reality Of The Honeymoon Period And External Traffic' The Cold Reality Of The Honeymoon Period And External Traffic If you have problems with the links, check the link in our bio! Seller Sessions Live, 2025. Grab tickets now: Seller Sessions Live 2025 Watch this podcast in its full glory. Out now on YouTube: Watch on YouTube

Pushing the Limits of Main Image Optimization for Amazon Sellers Join Danny and an all-star panel of e-commerce experts in this episode of Seller Sessions as they dissect the science of main image optimization for Amazon sellers. Using insights from their Main Image Monthly feature, the panel takes a deep dive into improving click-through rates (CTR) and driving conversions through data-driven design changes. Featured Product: A standout wooden ride-on toy, modeled after a London double-decker bus, is at the center of the discussion. Designed for kids aged 1-3, this unique product undergoes a real-time transformation guided by the panel's expert feedback. Key Takeaways: Customer Objections Turned into Strengths: By analyzing video reviews and surveys, Simon, a featured brand owner, tailors his listing to address common buyer concerns effectively. A/B Testing for Visual Excellence: The panel explores how image quality, badges, and strategic callouts influence customer perception and improve listing performance. Leveraging Data for Results: Discover how measuring CTR changes and tracking conversion feedback can revolutionize your main image strategy. Your Expert Panel: Sim Mahon: A seasoned seller managing six private label brands and driving eight-figure revenues. Matt Kostan: Founder of ProductPinion, with over a decade of experience in e-commerce growth strategies. Peter-Paul Maan: Head of Sales and Partnerships at Intellivy, connecting brands with their target audience through strategic alignment. Hannah Lyss Tampioc: Founder of Mad Cat Creatives, specializing in high-impact visual strategies for Amazon listings. Get ready to unlock practical tips and actionable insights for optimizing your product's main images and driving sales success on Amazon!   Reaching the Guests https://www.linkedin.com/in/sim-mahon-46a30123a/ https://www.linkedin.com/in/hannahlysstampioc/ https://www.linkedin.com/in/mattkostan/ https://www.linkedin.com/in/pmaan/   Reaching the Guests Sim Mahon Hannah Lyss Tampioc Matt Kostan Peter-Paul Maan   Out Now on SellerSessions.com 'The Cold Reality Of The Honeymoon Period And External Traffic' 🔗 https://sellersessions.com/the-cold-reality-of-the-honeymoon-period-and-external-traffic/ 💬 Your opinion matters! Drop us a comment 📣 and join the conversation. Remember, sharing is caring—so hit the like button 👍❤️, give us some love, or share this post with someone you think will enjoy it! 🔄 🎟 Seller Sessions Live, 2025. Grab tickets now: https://sellersessions.com/seller-sessions-live-2025/ 📺 Watch this podcast in its full glory. Out now on YouTube: https://www.youtube.com/@SellerSessions

Advanced Ranking on Amazon in Q4: Garfield Coore In this episode of Seller Sessions, Danny McMillan welcomes back Garfield Coore, a top-ranking strategist, to break down Amazon’s algorithm. Garfield shares insights for sellers to maximize organic rank, external traffic, and achieve ranking stability as Q4 peaks., Garfield shares essential techniques for sellers looking to stay competitive and profitable. Key Takeaways The Three-Stage Ranking System: Primary Ranking Events: Roughly 90% of ranking impact comes from core behaviours on Amazon. Key actions include searches leading to a product page, add-to-cart from a search click, and purchases from a search pathway. Garfield stresses avoiding variations that interrupt the ranking pathway. Keyword Cohorts: Leveraging keyword "families" (using Amazon’s Opportunity Explorer) helps products gain ranking bleed-over. Start ranking with smaller keywords, allowing spillover to higher competition terms. Territorial Influence: Minor ranking factors include BSR and inventory location, affecting regional rank. BSR reflects category sales ranking relative to competitors. Conversion Events Beyond Sales Clicks, page visits, and add-to-cart actions all serve as ranking events, which Garfield calls “conversion events.” Focus on generating quality traffic to accumulate these events, which can boost rank without immediate sales. PPC Strategy: Maximizing Click-Through Rate PPC placement relies on expected revenue from clicks, not relevance. Garfield explains that a history of clicks improves PPC placement probability.   Timing Event-Driven Ranking Garfield advises starting campaigns for seasonal events early to establish a low-cost rank before high-demand periods. For example, healthcare and weight loss products should begin ranking efforts before New Year’s resolutions in January. Reach Garfield - https://www.facebook.com/garfield.coore Out Now on SellerSessions.com The Cold Reality of the Honeymoon Period And External Traffic 👉 https://sellersessions.com/the-cold-reality-of-the-honeymoon-period-and-external-traffic/ If you have problems with the links, check the link in our bio! Engage with us! Your opinion matters! Drop us a comment 📣 and join the conversation. Remember, sharing is caring—so hit the like button 👍❤️, give us some love, or share this post with someone you think will enjoy it! 🔄 Seller Sessions Live, 2025 Grab tickets now https://sellersessions.com/seller-sessions-live-2025/ Watch this podcast in its full glory Out now on YouTube - https://www.youtube.com/@SellerSessions

Advanced: Master Amazon Ranking: Bite-Sized Insights from the Whiteboard Episode Summary In this episode of Seller Sessions, hosts Dan and Oana take a deep dive into Amazon's ranking mechanism, focusing on the Bayesian update process and its impact on product visibility. Inspired by their previous series on the complexities of the "cold start," Dan and Oana aim to simplify the algorithm’s operations, allowing sellers to apply these insights to common Amazon business challenges, from managing stockouts to ASIN resets. The Bayesian update plays a crucial role in Amazon's ranking formula, guiding the platform's initial "guess" for each new product’s rank and continuously refining it as user interaction data accrues. They explain the difference between prior and posterior predictions: Initial Prior Prediction: When a new product launches, Amazon evaluates similar products based on shared attributes and performance data, assigning a starting rank that’s essentially a best guess. Posterior Prediction: As users engage with the product (clicks, scrolls, purchases), this real-time behavior helps Amazon fine-tune its ranking, transitioning from a speculative ranking to a data-informed position. The duo also references two pivotal Amazon patents from 2022 and 2023, which document how real-time interaction data (e.g., clicks and conversions) informs ranking recalculations every 2-24 hours, depending on available data. This Bayesian cycle is fundamental to Amazon's dynamic ranking shifts, especially in crowded categories where initial guesses are quickly updated with interaction-driven insights. Key Takeaways The Role of Bayesian Updates: Sellers learn how the Bayesian update transforms initial ranking predictions by integrating real-time user data, continuously recalculating product rankings. Exploration vs. Exploitation: Amazon prioritizes real user data over hypothetical scenarios, relying on actual behavior to shape ranking results. New Products vs. Returning Products: Newly listed items start from scratch, but if a product goes out of stock and returns, it resumes with past data, allowing quicker integration of new engagement data. Ranking Frequency: Ranking updates may occur every 2-24 hours, creating a near-real-time feedback loop that adjusts based on ongoing user interactions. Dan and Oana emphasize that traditional concepts like the "honeymoon period" are less relevant due to Amazon’s continuous ranking adjustments. As technology advances, rankings are now recalculated frequently, meaning sellers should focus more on engagement metrics than waiting for prolonged ranking boosts. This episode demystifies complex Bayesian methods in Amazon’s ranking algorithm, offering insights that will help sellers understand how to strategically navigate the platform’s data-driven system. Out Now on SellerSessions.com - "The Cold Reality Of The Honeymoon Period And External Traffic" https://sellersessions.com/the-cold-reality-of-the-honeymoon-period-and-external-traffic/ If you have problems with the links, check the link in our bio! Your opinion matters! Drop us a comment 📣 and join the conversation. Remember, sharing is caring—so hit the like button 👍❤️, give us some love, or share this post with someone you think will enjoy it! 🔄 Seller Sessions Live, 2025. Grab tickets now: https://sellersessions.com/seller-sessions-live-2025/ Watch this podcast in its full glory. Out now on YouTube - https://www.youtube.com/@SellerSessions

Building a Full-Funnel DSP Strategy For Amazon Sellers   Danny welcomes Sam Lee, an Amazon DSP expert with years of experience at companies like Thrasio. Sam provides insights into the Amazon DSP (Demand Side Platform), a less accessible yet powerful tool compared to Amazon’s PPC. DSP allows for advanced targeting using Amazon’s first-party data, perfect for those ready to expand beyond traditional ad methods. Danny and Sam dive into the essentials of DSP, covering campaign structures, targeting methods, and common pitfalls that many brands face when venturing into DSP.   What is Amazon DSP? Sam explains that Amazon DSP is different from traditional Amazon PPC in accessibility and functionality:   Barrier to Entry: DSP isn’t as easy to access as Seller Central; it requires Amazon-approved agencies or meeting certain spend thresholds. Initial Challenges: Early misuse led to its reputation issues, as many advertisers applied blanket strategies, not optimizing DSP for unique brand/product needs.   Building the Full Funnel Sam emphasizes a strategic approach to DSP that adapts to product price points and buying cycles, avoiding a one-size-fits-all approach:   Understanding Customer Journey: Higher-priced products require longer consideration windows, so retargeting timelines should vary. Tailoring Campaigns by Product Type: A $10 product doesn’t need a 30-day retargeting window, while a $200 product may need up to 45 days to properly engage the audience.   Key Metrics for Success in DSP To evaluate DSP campaign effectiveness, Sam discusses focusing on core metrics:   Return on Ad Spend (ROAS) and Total ROAS as primary performance indicators. Effective Cost Per Detail Page View: Lower costs (below $1) signal efficient DSP campaigns, with top performers achieving $0.50 or less. Percent of Purchases New-to-Brand: Indicates how well DSP attracts fresh customers, avoiding retargeting those already inclined to purchase.   Sam highlights Amazon Marketing Cloud (AMC) as a tool to monitor customer touchpoints in the purchase path, offering more transparency into DSP’s role in converting new users.   DSP Budgeting Insights One misconception Sam dispels is that DSP requires excessive budgets to yield results:   Optimal Spend Range: While larger budgets provide more data for refinement, DSP can still be tested effectively at lower levels if PPC campaigns are fully maximized first. Synergy Between PPC and DSP: He advises investing as much as possible into PPC until returns diminish, then strategically layering DSP to further boost conversions.   Evaluating DSP Managers When hiring or assessing a DSP manager, Sam recommends looking for these critical skills:   Sales Deduplication Knowledge: A solid understanding of deduplicating sales between DSP and PPC, often through merchant tokens, which ensure accurate attribution. Customized Campaign Strategy: Effective DSP managers tailor retargeting windows and budgets based on product price points and sales cycles, avoiding generic settings. Expertise with Streaming and Video Ads: Familiarity with OLV (Online Video) and Streaming TV (OTT) can add value to campaigns, especially for brand awareness.   Streaming TV and Online Video (OLV) Advertising Sam and Danny discuss the advantages of Streaming TV (OTT) and Online Video (OLV) as part of DSP’s offerings:   OTT vs. OLV: OTT, or Over-the-Top Media, is a more premium option, placing ads on streaming platforms like Hulu and Prime Video, while OLV covers a broader online space (e.g., ads between games or online content). Use Cases: Streaming ads are highly effective for certain brands but come with higher costs, while OLV offers a budget-friendly alternative for brands targeting broader, online-savvy audiences.   DSP for Non-Amazon Sellers One of the most forward-thinking DSP strategies involves leveraging Amazon’s first-party data for external brands:   Application for Non-Amazon Sellers: Brands not selling on Amazon, like car companies or public services, can still use DSP to target potential customers based on Amazon’s deep data insights. Geotargeting and Demographics: For example, public transit services like LA Metro have used DSP to target specific areas, showing the versatile applications of DSP data.   The Role of DSP in Amazon’s Search and Ranking Algorithm Sam shares advanced insights on how DSP impacts Amazon’s ranking system through behavioral targeting:   Bayesian Update System: Amazon’s algorithm adapts based on live data (clicks, conversions), helping high-performing products “win” visibility quickly while demoting less successful items. Behavior-Driven Launch Strategy: For launches, a well-optimized DSP campaign can create significant early traction, contributing to better search rankings.   Common Pitfalls and Misconceptions in DSP Sam addresses frequent DSP errors that agencies and brands make:   Misleading Attribution: Lack of merchant tokens can lead to inflated success metrics, misleading clients on actual DSP effectiveness. Uniform Strategy Application: Applying the same retargeting window or budget across all campaigns, regardless of product type or target audience, can dilute DSP’s impact.   Amazon as a Search Engine First Both Sam and Danny agree that Amazon’s primary goal is search relevancy, driven by conversion rates and user experience:   SEO Principles on Amazon: Amazon prioritizes high-conversion products to ensure users find relevant, desirable items. Successful DSP campaigns enhance this by generating high-quality traffic. Cold Start Problem: New products face Amazon’s cold-start challenges, where initial performance metrics determine future visibility. DSP’s behavioral targeting can boost early sales velocity, easing this process.   Closing Thoughts Danny and Sam conclude by reinforcing Amazon’s profit-centric nature, encouraging sellers to align with Amazon’s goals to maximize DSP benefits. For sellers looking to experiment with DSP, Sam advises working with knowledgeable agencies or managers to avoid wasted spend and achieve incremental gains over PPC alone.   Reach Out to Sam Lee:   Company: Trivium Co. Contact: sam.lee@triviumco.com   Looking for a Free PPC Audit? https://www.databrill.com/