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Product Data Weekly
Updated 10 days ago · Refreshed hourly
businesstechnology

Product Data Weekly

Hosted by Ben Adams · 🇺🇸 US · EN · 13 episodes

Where this show ranks

Episodes
13
Last ep.
10 days ago
Avg length
19m
Booking Probability™
29
Stretch.
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Estimated audience
,
Audience size not yet estimated
Listen Score
16
Niche reach.
Virality (30d)
47
Steady cadence.

Pitch Analysis

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Required Pod Score
80/ 100
Premium

Established thought leaders with verified media credentials.

Contact path
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Best topics to pitch
businesstechnology

About this podcast

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.

businesstechnology

About the host

Ben Adams hosts Product Data Weekly, a business show with 13 episodes published.

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Recent episodes

Our AI reads these to draft pitches

Episode 15: Why Massive Retailers Still Run on Monstrous Spreadsheets

Jun 5, 202616m0

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

Episode 14: Why AI Search Keeps Ignoring Your Products

May 28, 202626mEp. 14S1

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

Episode 13: Marketplaces, Product Data Acronyms, and Practical AI

May 21, 202619mEp. 13S1

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

Episode 12: 5 Layers of product data optimisation

May 14, 202611m0

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

Episode 11: Webinar Recording: 5 Ways to stop losing Sales to Bad Product Data

May 7, 202634mEp. 11S1

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

Episode 10: Do you actually need a PIM?

Apr 30, 202615mEp. 10S1

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

Episode 9: Stop. Do These 4 Things Before Your PIM Project

Apr 23, 202612mEp. 9S1

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

Episode 8: Show me the Money - 5 Areas Product Data Investment Pays Off

Apr 16, 202623mEp. 8S1

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

Episode 7: Mastering Product Data Sourcing

Apr 9, 202623mEp. 70

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

Episode 6: Why Top-Seller Enrichment Doesn’t Work

Mar 27, 202615mEp. 6S1

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

Episode 5: The Most Visible Data Problem on Your Website

Mar 19, 20268m0

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

Episode 4: Why Supplier Data Is Never Usable - And Three Levers to Fix It

Mar 12, 202620mEp. 40

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

Episode 3: If AI Can’t Read Your Product Page, It Doesn’t Exist

Mar 5, 202612mEp. 30

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

Episode 3: If AI Can’t Read Your Product Page, It Doesn’t Exist

Mar 3, 202615mEp. 30

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

Episode 2: Why Your Category Structure Is Quietly Hurting Ecommerce Performance

Feb 26, 202617mEp. 20

This episode explores the critical importance of category structure and attribute management in e-commerce. Hosts Clare Adams and Ben Adams discuss how proper product categorisation impacts data quality, customer experie

Episode 1: The 5 Questions Your Team Is Afraid to Ask About Product Data

Feb 17, 202623mEp. 10

Most product data problems don't show up as data problems — they show up as delayed launches, supplier headaches, and e-commerce teams drowning in fixes. In this first episode, Clare and Ben cut through the noise to ask

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Audience demographics

Age
25-54
Consumer type
Professionals & Founders

Topics covered

businesstechnology

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Best industries to pitch Product Data Weekly for

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Frequently asked questions

How do I pitch Product Data Weekly as a podcast guest?

Product Data Weekly has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their business audience.

Who is the host of Product Data Weekly?

Product Data Weekly is hosted by Ben Adams. The show is categorised under business (technology) and has published 13 episodes.

How many episodes does Product Data Weekly have?

Product Data Weekly has published 13 episodes.

What topics does Product Data Weekly cover?

Product Data Weekly regularly covers business, technology. It sits in the business category, with a technology focus.

Is it hard to get booked on Product Data Weekly?

Product Data Weekly is accessible for guests with genuine business expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is Product Data Weekly currently accepting guest pitches?

Product Data Weekly hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are Product Data Weekly episodes?

Episodes of Product Data Weekly average 19 minutes. a focused format where a clear narrative arc and tight preparation matter most.

What guest credentials does Product Data Weekly typically look for?

Our data rates Product Data Weekly's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 10 days ago.

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