Retail Media Cam

James Taylor
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Welcome to Retail Media Cam—the podcast that gets you a backstage pass to what’s going on in the retail media industry. In each episode, we'll explore the strategies and emerging technologies shaping retail media. You'll get exclusive interviews with industry luminaries and thought leaders, insights on launching and scaling retail media networks. With deep dives into why there is an industry-wide shift toward AI, automation, and hyper-personalized experiences. If you want to win in retail media this podcast is for you.

Episodes

  1. How to Launch a Retail Media Network - A Masterclass by Particular Audience CEO James Taylor & UK GM Beth Smith

    10/03/2025

    How to Launch a Retail Media Network - A Masterclass by Particular Audience CEO James Taylor & UK GM Beth Smith

    Retail Media is easy to launch, but hard to land. Join Particular Audience founder James Taylor and GM Beth Smith for a blunt, data‑packed masterclass that turns sponsored listings into a growth engine. We dive below the surface of the iceberg and get stuck into the nuance, technology and outcomes of high performing international Retail Media Networks from Australia to the UK and Denmark. We show you how to align merchandising, product and ad sales so shoppers click more, not less; scale budgets without cannibalising loyalty; connect scattered data and tech; defuse turf wars between merchandising and media; and launch in a measured, customer‑first way. Packed full of honest benchmarks, 'what‑broke' crisis stories and fix‑it frameworks you can steal: practical, blunt, and loaded with live case‑study data.

    29 min
  2. Particular Audience: Adaptive Transformer Search | Harness the Power of Large Language Models (AI) in eCommerce Search

    05/08/2025

    Particular Audience: Adaptive Transformer Search | Harness the Power of Large Language Models (AI) in eCommerce Search

    Adaptive Transformer Search (ATS) is a proprietary technology developed by Particular Audience designed to address the significant issues in ecommerce search. Traditional keyword search systems, which rely on exact token matching and manual rules, are considered ineffective for a large majority of consumers and result in substantial financial losses for retailers due to lost sales and customer abandonment. The problems with legacy search include poor performance for long-tail queries, difficulty understanding synonyms and context, reliance on inconsistent data, and the significant manual effort required for configuration, particularly for the vast majority of search terms which fall into the long tail. ATS tackles these challenges by utilizing Large Language Models (LLMs) and vector embedding technology to comprehend the meaning and intent behind user queries and product information. Instead of matching keywords literally, ATS transforms both queries and product data into dense vectors. These vectors are numerical representations in a high-dimensional space, and the proximity or angle between them in this space indicates their semantic similarity. This approach allows for a much richer understanding and more relevant data retrieval compared to simple token matching. Particular Audience creates proprietary Vertical Tuned Models (VTMs) by fine-tuning open-source transformers on specific retail vertical data sets. This fine-tuning process enhances the accuracy of vector embeddings specifically for retail contexts. VTMs enable the system to understand shared meaning based on context (like 'lightweight', 'portable', 'small', etc., when referring to a tripod) and significantly improve relevancy scores. VTMs also allow ATS to suggest substitute products when a searched item is not available (e.g., showing Samsung phones if a customer searches for a Huawei phone and the retailer doesn't stock them). This capability can dramatically reduce zero search results. ATS also incorporates Synthetic Data, generated by AI, to train query-click pairs. This helps to fill gaps in existing data and improve model training. Furthermore, the system employs Adaptive Reinforcement Learning (ARL), allowing the VTMs to learn continuously from live user behavior on a retailer's site. This adaptive process automatically adjusts embeddings over time, improving precision and accuracy in the specific context of that retailer without requiring manual intervention. Beyond just relevancy, ATS offers Contextual Ranking, which can personalize search results by interpreting implicit user signals (such as clickstream data and items in the shopping basket). This helps to predict demand and potentially increase click-through rates. ATS also enhances Relevant Search Ads by moving beyond keyword matching to semantic understanding, improving the coverage and performance of sponsored products, especially for long-tail queries. Privacy is a core design principle for ATS; it collects no personally identifiable information and does not use third-party tracking. The technology's ability to interpret natural language text also prepares it to handle future conversational interfaces and complex question-and-answer queries. In summary, ATS combines the power of vector search and traditional keyword search with vertical tuning and localized reinforcement learning. This results in intuitive semantic search experiences that aim to boost conversion, increase sales, build customer loyalty, and reduce the manual effort required for search configuration.

    27 min
  3. Retail MCP: How AI Assistants Shop | Model Context Protocol & Agentic Commerce

    05/07/2025

    Retail MCP: How AI Assistants Shop | Model Context Protocol & Agentic Commerce

    An overview of the 29-Page whitepaper on Model Context Protocol for Retail. Model Context Protocol (MCP) is a superior alternative to traditional browser-based AI agents in the context of digital retail. The primary document, a whitepaper, highlights the limitations of browser-based agents, such as fragmentation, inefficiency, and security risks, which hinder effective AI in commerce. In contrast, MCP is presented as an open standard facilitating direct, structured interaction between AI models and data sources through tools and APIs, promising improved reliability, scalability, and security. Supporting data illustrate the rapid increase in AI search bot activity and project a phased adoption curve of MCP-based agents across different retail sectors from 2025 to 2030, suggesting a shift from simple replenishment tasks to complex, high-consideration purchases enabled by multi-tool agent architectures. The document concludes with strategic recommendations for technical executives on adopting MCP and discusses potential risks and caveats.

    24 min
  4. Retail Media Cam: Sean Crawford | Coalition Retail Media, Customer Centricity & All About SMG

    03/12/2025

    Retail Media Cam: Sean Crawford | Coalition Retail Media, Customer Centricity & All About SMG

    Sean Crawford is Managing Director for North America at SMG, the Retail Media Network specialist that connects brands, retailers, and shoppers across their path to purchase.SMG is arguably the leading operator of RMNs in the anglo speaking world having spent over a decade working on the Retail Media Networks for retailers like Asda, Morrisons, The Very Group, Boots and more. Recently also announcing WH Smith North America Media.Hear this conversation shot at NRF between Sean as he is interviewed by Matt Romano, VP Partnerships at Particular Audience who was previously responsible for retail media network launches at Western Union, Rakuten, The Home Depot (Orange Apron Media), and Walmart, eBay and others when at Triad Retail Media.

    26 min
  5. Retail Media Cam: Colin Lewis | The Language of Marketing Effectiveness

    02/27/2025

    Retail Media Cam: Colin Lewis | The Language of Marketing Effectiveness

    Colin Lewis is an award winning marketer. He is Editor-in-Chief, Retail Media at Internet Retailing, a leading Marketing Week Magazine Columnist, Advisor to Grace & Co, as well as many of the world's leading Retail Media Networks through his consultancy Retail Media Works. He also has more air miles than you can shake a stick at. We cover a lot in this episode: Everything that’s in trade will go into retail media (no, really)The importance of incrementalityThe language of marketing effectiveness, and how brands growWhy Retail Media spans all of 'The Fab 4'BrandTradeDigitalShopper Long term thinking is difficult. Retailers have got low margins, long term thinking is not really an option when you’re judged on your trade and your trade per day. + PLUS: a sneak peak at Colin's UPCOMING REPORT, "The 7 Challenges for Retail Media in 2025" “The digitisation of instore is an absolute inevitability from a sustainability perspective” - saving on cardboard!"In-store measurement, is where the next gold rush of money will come in""There is no CFO in this world who is gonna say 'that’s cool, I don’t mind handing over billions of dollars every year, so I don’t know what happens with it'"

    25 min
  6. Retail Media Cam: Lauren Livak Gilbert | The Digital Shelf Institute: What Retailers Don't Know

    02/20/2025

    Retail Media Cam: Lauren Livak Gilbert | The Digital Shelf Institute: What Retailers Don't Know

    Lauren is the Executive Director at the Digital Shelf Institute (DSI) where she is defining THE strategy for how brands and retailers grow together. In this episode we discuss: 1. Why brand scrutiny on budgets is only growing 2. Why brands are moving to quarterly budget planning for agility to pivot 3. Why laggard retailers could get sidelined within 90 days 4. How Trade and eCommerce teams could be setting up fledgling Retail Networks to fail 5. The 3 Headed Monster: budget challenges with Trade, Shopper and National Media brand pots 🔎 Find out more: https://www.digitalshelfinstitute.org/resources-library 🟢 Listen on Spotify: https://open.spotify.com/show/301BptpIcmBv5KzzfdSirY?si=68f63fecc9b34fa8 🟣 Listen on Apple: https://podcasts.apple.com/us/podcast/retail-media-cam/id1795395813 🔴 Watch on Youtube: https://www.youtube.com/playlist?list=PLmdErNyu5V13m8LGMX8anQUF7OhjhcJd2 🩵 To learn more you can email us: hello (at) particularaudience.com

    15 min
  7. Retail Media Cam: Steve Gray | How Brands Grow: What Marketers Don't Know

    02/13/2025

    Retail Media Cam: Steve Gray | How Brands Grow: What Marketers Don't Know

    40+ years since his first Retail Media campaign, Steve Gray has a proven track record leading and delivering successful retail media projects with many of the world's leading retailers, including Tesco, Asda, Kroger, Carrefour, Metro, Woolworths, Coles, Aldi, Asda, Pets at Home, Spinney, Virgin Megastores, and more. Steve led the creation of world's first advanced Retail Media Network as a founder of dunnhumby retail and was a founding director of dunnhumby USA. He built emnos (part of PAYBACK, Europe's largest coalition loyalty programme) into a dunnhumby challenger business and worked with BCG as a Senior Adviser to their retail practice. In today's episode with Steve Gray, we discuss: The wrap sheet of what a retailer needs to get started Steve's excitement around just how much retailers have going for them Taking digital banners from ‘just get it up there’ to the massive and as yet largely untapped opportunity ahead in AI-powered sponsored products Physical Presence Lessons from Byron Sharp’s How Brands Grow  (1) what is your physical availability? What’s your distribution? Are you there when a customer searches? (2) are you in their minds, part of their mental availability, do they recall you, do you have good awareness? MOST BRANDS DON’T UNDERSTAND SPONSORED PRODUCTS If you’re not winning the top row for generic terms, then you’re likely only selling to people who have already bought you Generic terms typically have a high [up] click position - that means people aren’t spending time browsing down, getting top row sponsorship is worth its weight in gold If you could only spend money on one thing.. what is THE THING that gets you physical availability? It's a great business for a retailer, but very very important for the brand as well The Modern Digital Shelf Not only does no one see everything online, but not everyone sees the same thing... You can't survive below the fold, brands NEED to give themselves a chance If you’re not clicked on you’re still visible, if you don’t do it, you’re not

    38 min
  • 7 Episodes

About

Welcome to Retail Media Cam—the podcast that gets you a backstage pass to what’s going on in the retail media industry. In each episode, we'll explore the strategies and emerging technologies shaping retail media. You'll get exclusive interviews with industry luminaries and thought leaders, insights on launching and scaling retail media networks. With deep dives into why there is an industry-wide shift toward AI, automation, and hyper-personalized experiences. If you want to win in retail media this podcast is for you.

Information

  • Creator
    James Taylor
  • Years Active
    2K
  • Episodes
    7
  • Rating
    Clean
  • Copyright
    © James Taylor
  • Show Website
    Retail Media Cam