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Hosted by Ben Adams · 🇺🇸 US · EN · 23 episodes
Established thought leaders with verified media credentials.
Product Data Weekly is a short, practical podcast about the realities of product data operations. Each week, we explore the challenges that sit behind growing catalogues, evolving systems and ever increasing data demands. No theory. No vendor hype. Just grounded conversations about what it really takes to manage product data at scale. If you’re involved in ecommerce, product information, supplier onboarding, ERP, PIM, marketplace feeds or anything connected to product data, this is for you. For more practical insight, sign up at productdataweekly.com and receive our weekly newsletter every Thursday.
Ben Adams hosts Product Data Weekly, a business show with 23 episodes published.
Building Material merchants are telling suppliers their product information won't be accepted unless it's in a specific industry template. The data usually already exists. It's just sat in PDFs, spec sheets and ERP expor
This episode discusses the importance of structured product attributes, especially for AI readiness and e-commerce success. Ben & Clare explore how missing or outdated data can hinder product discovery and customer exper
Most product pages still treat FAQs as an SEO box-tick. But AI models are answer engines, and FAQs are answers. If yours are missing or vague, the engines go and describe your products from someone else's content. In thi
Supplier onboarding should be a solved problem by now. In this episode, Ben breaks down why supplier data arrives unusable no matter how hard you push suppliers or your own team, and why the real problem is the gap betwe
This is the first of our Product Data Doctor segment, where we take a real product data problem and break it down. This one's a shoe retailer moving 11,000 products from Magento to Shopify. Most teams start by exporting
Akeneo just acquired PricingHub, which got us thinking about why pricing has never lived in a PIM. This episode is about pricing, PIM, and why the two have stayed apart for so long. Episode Breakdown 00:00 – The Akeneo a
Manufacturers and distributors think they're dealing with different product data problems. They're not. It's the same problem, viewed from opposite sides of the fence. In this masterclass episode, we focus on industrial
You'd assume the biggest retailers have moved past spreadsheets by now. Most haven't, and it's not because they're behind. In this episode, we break down why massive businesses still run their entire product catalogue of
Most product data was written for humans. The buyers have changed. The new buyer is an AI agent: ChatGPT, Gemini, Perplexity, Claude. When someone asks for "an IP65-rated, 5–10kW three-phase motor for an outdoor conveyor
Most takes on the Australian e-commerce market assume it's just a smaller, slower version of the UK or US. That's half right, and the other half is where it gets interesting. In this episode, Ben's just back from two wee
Most teams try to fix their product pages by jumping straight to descriptions or AI search tools. Which feels like progress but is usually why nothing improves. In this episode, Clare walks through the five layers of pro
In this masterclass episode, Ben and Clare break down five silent leaks costing eCommerce and B2B businesses sales every day through bad product data. Most teams assume fixing product data means a 12-month PIM project si
In this episode, we break down the two big myths about PIMs, where a PIM genuinely is the right call, and what most retailers and distributors actually need instead (or alongside it). If you're 3 PIM demos deep and still
Clare and Ben discuss the four essential steps teams should take before committing to a PIM implementation or e-commerce re-platform, focusing on product data readiness. They share practical insights on why so many proje
Ben and Clare discuss the importance of investing in product data, focusing on five key areas: conversion, organic search visibility, return rates, operational efficiency, and cross-team collaboration. They share practic
This episode explores the various methods of sourcing and enriching product data, highlighting their pros, cons, and practical considerations. It provides insights into manual processes, data scraping, data pools, AI-dri
Most product data enrichment projects start the same way. Which sounds like the right move but it’s usually why nothing improves. In this episode, we break down why enriching products one-by-one (based on sales) leads to
Missing images are one of the most visible data quality problems on any eCommerce site, and one of the least likely to be treated as a data problem. The result is grey placeholders that quietly kill conversion, suppress
Supplier data is one of the biggest operational headaches in distribution, retail, and marketplaces. The data arrives late, incomplete, and in the wrong format. Teams spend weeks transforming it manually. And yet most bu
Generative Engine Optimization is the new SEO. In this practical episode, we share three simple changes that can dramatically improve how AI systems interpret and surface your products: Render core product data in static
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Product Data Weekly is hosted by Ben Adams. The show is categorised under business (technology) and has published 23 episodes.
Product Data Weekly has published 23 episodes.
Product Data Weekly regularly covers business, technology. It sits in the business category, with a technology focus.
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