Talk Commerce Podcast Por Brent W. Peterson arte de portada

Talk Commerce

Talk Commerce

De: Brent W. Peterson
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If you are seeking new ways to increase your ROI on marketing with your commerce platform, or you may be an entrepreneur who wants to grow your team and be more efficient with your online business. Talk Commerce with Brent W. Peterson draws stories from merchants, marketers, and entrepreneurs who share their experiences in the trenches to help you learn what works and what may not in your business. Keep up with the current news on commerce platforms, marketing trends, and what is new in the entrepreneurial world. Episodes drop every Tuesday with the occasional bonus episodes. You can check out our daily blog post and signup for our newsletter here https://talk-commerce.com2021-2024 - Talk Commerce Economía Gestión y Liderazgo Liderazgo
Episodios
  • Live from Shoptalk: How Signifyd Is Redefining E-Commerce Fraud Protection Beyond the Checkout

    Live from Shoptalk: How Signifyd Is Redefining E-Commerce Fraud Protection Beyond the Checkout
    Apr 17 2026

    Fraud doesn't sleep, and neither does the challenge of keeping good customers happy while stopping bad actors in their tracks. In this live episode of Talk Commerce, recorded on the floor of Shoptalk in Las Vegas, host Isaac Morey sat down with Nicole Jass from Signifyd for a candid, fast-moving conversation about what it really takes to protect an e-commerce business today — without driving away the customers you've worked hard to earn.


    From machine learning and consortium data models to agentic commerce and instant refunds, Nicole covers the full spectrum of what modern fraud protection looks like — and why it's about so much more than just stopping a bad transaction.

    Key Takeaways

    • Fraud protection should grow revenue, not just cut losses. Signifyd helped Lenovo increase top-line sales by 4–5% by reducing false declines alongside fraud.
    • The consortium model is a force multiplier. Sharing fraud signals across thousands of merchants means that stopping one bad actor protects everyone on the network simultaneously.
    • Not all bots are bad anymore. Agentic commerce is changing how merchants need to think about automated traffic, and Signifyd is already preparing for that shift.
    • Returns are the next fraud frontier. Instant refunds are a loyalty-building tool — but only when merchants can tell the difference between a genuine return and someone shipping a box of rocks.
    • Scaling fraud teams with people alone won't work. As businesses grow, "Katie reviewing transactions" isn't a sustainable strategy. Machine learning fills the gap efficiently.
    • The customer experience IS the product. Every decline, every friction point, every delayed refund is a moment of truth that either builds or breaks brand loyalty.
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    12 m
  • Live From Shoptalk: Getting Your Brand Ready for Agentic Commerce with Amera Khalil

    Live From Shoptalk: Getting Your Brand Ready for Agentic Commerce with Amera Khalil
    Apr 16 2026
    Recorded live at Shoptalk Spring 2026 by host Isaac Morey, the conversation features Amera Khalil, Director of Strategic Account Management at Commerce — the parent brand behind Feedonomics, BigCommerce, and MakeSwift. Together, they cover what brands actually need to do to stay visible as AI-powered discovery takes over consumer behavior. It's a practical, no-fluff conversation that's worth your time whether you're running a lean SMB operation or managing enterprise-level feeds.Key TakeawaysData quality is the foundation. Before any AI strategy works, your product feeds need accurate titles, descriptions, sizes, and attributes.Enriched data isn't one-size-fits-all. Enrichment requirements vary by brand, category, and channel — and they need to match today's conversational search queries.Agentic commerce is already operational. Commerce built a fully functional agentic checkout experience for PacSun on Perplexity in under 30 days.Don't deploy AI for AI's sake. Without a clear business objective, AI implementation creates confusion rather than results.SMBs need to act now. LLM visibility isn't exclusive to enterprise brands — smaller businesses can start preparing today.Human oversight isn't optional. Quality assurance guardrails protect brand integrity and keep AI-generated content on point.Have AI conversations out loud. Brands strategizing behind closed doors miss partners who may already have the solutions they need.Episode SummaryAmera opened by describing Commerce's three-brand structure. Feedonomics handles intelligent product feed management, BigCommerce powers flexible e-commerce experiences, and MakeSwift enables agile front-end design. She described Feedonomics' core value simply: taking complex data, making it clean and structured, and distributing it intelligently across every relevant channel.From there, Isaac asked the big question: how is AI changing e-commerce? Amera's answer was direct. The traditional marketing funnel — performance ads, tracking, attribution models — is collapsing. Consumers are now using Perplexity, ChatGPT, and Claude not just for research but for actual purchase decisions. "The biggest change in e-commerce," she noted, "is the preparation to be visible on these LLMs while maintaining the quality of your data."She broke agentic commerce readiness into clear layers. First, brands need solid foundational data — accurate product titles, descriptions, brand names, sizing. Without that, nothing else works. On top of that, brands need enriched data that responds to how people actually search today. Nobody's typing "suitcase" anymore. They're saying something like, "I'm going on a trip, I want something light, and I tend to overpack." Product data has to meet that kind of specificity.Interestingly, she was candid about the complexity of getting onto LLM channels: "Just because you're a brand doesn't mean that your feed is going to be accepted." Approval processes are real hurdles, and the backend requirements — syncing inventory, enabling checkout, integrating payments — go well beyond what most marketing teams expect.The PacSun case study was the episode's standout moment. Commerce built a complete agentic checkout experience for PacSun on Perplexity in under 30 days, during the holiday season. Shoppers could find PacSun jeans, select their size, and check out via PayPal — receiving a confirmation email from PacSun directly. "This is thrilling," Amera said, "because it's changed the way that we are looking at our expectations as consumers."On AI risks, she stressed quality assurance. Feedonomics uses internal benchmarking systems that flag AI-generated content not meeting brand standards before it goes live. She also flagged a generational nuance: Gen Z consumers can detect cold, scripted AI content, and they don't respond well to it. Adjusting content based on audience expectations isn't a nice-to-have — it's essential.For SMBs, her advice was to start with a data audit. Centralize your assets, identify missing fields, and find a feed partner who can submit requests to LLMs on your behalf. As she put it, "even if you're small, medium, or you're the big kahunas in the industry, you have to be present and you certainly have to be visible."Final ThoughtsIn this new era, AI agents act on behalf of shoppers — searching, comparing, and even checking out across multiple channels, often without ever visiting a merchant's website. These AI-driven experiences are seamless, contextual, and increasingly the default for how consumers interact with commerce online. Amera's message throughout this episode is clear: preparation beats hesitation every time.So here's the question worth sitting with — if your brand's data isn't ready for an agent to read it, how feed-y is your commerce strategy for what's already here?This has been produced in cooperation with Content Cucumberhttps://www.contentcucumber.com/Chapters00:00:00 — Introducing Amera Khalil and ...
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    18 m
  • How Wix eCommerce is Redefining Dropshipping Through Supplier Platforms with Jill Sherman

    How Wix eCommerce is Redefining Dropshipping Through Supplier Platforms with Jill Sherman
    Apr 14 2026

    In this episode of Talk Commerce, Jill Sherman from Wix discusses her journey from founding Modalyst to leading a division at Wix. She explains the drop shipping model, the importance of data-driven decisions, and how AI is revolutionizing e-commerce. Jill emphasizes the need for personalization and trust in online stores, and highlights Wix's innovative tools that empower entrepreneurs to build and scale their businesses effectively. The conversation also touches on the future of e-commerce and the role of storytelling in creating meaningful customer experiences.


    Takeaways

    Jill Sherman runs a division at Wix focused on drop shipping.
    Modalyst was one of the largest drop shipping platforms before being acquired by Wix.
    Traveling with her kids is one of Jill's passions.
    Data-driven decisions are crucial for business growth.
    Drop shipping allows merchants to sell without holding inventory.
    AI can enhance the efficiency of drop shipping operations.
    Personalization is key to building trust with customers.
    Wix offers tools to help entrepreneurs create and manage their online stores.
    The future of e-commerce will heavily involve AI integration.
    Storytelling is essential for successful e-commerce businesses.


    Chapters

    00:00 Introduction to Jill Sherman and Wix
    02:16 Jill's Journey: From Retail to Dropshipping
    04:43 Understanding Dropshipping and Its Integration with Wix
    06:19 The Role of AI in Dropshipping
    09:35 Starting a Dropshipping Business: Key Strategies
    11:25 Building Trust and Personalization in E-commerce
    13:30 Wix's AI Tools for E-commerce
    16:40 Future Trends in E-commerce and Wix's Vision
    19:01 The Importance of Storytelling in E-commerce
    20:03 Closing Thoughts and Future Innovations
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    21 m
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