How does product data directly impact SEO and organic visibility?

Search engines rely on rich, descriptive content to understand and rank product pages. Incomplete or duplicate descriptions, lack of relevant keywords in attributes, and poor internal linking due to imprecise categorisation all signal low quality to search algorithms, leading to reduced organic search traffic.

What are the operational costs associated with bad product data?

Operational costs include increased call centre volumes due to customer confusion, higher return rates attributed to product discrepancies, manual data correction efforts across systems, and delayed order fulfilment from incorrect product identification that requires human intervention.

Can PIM systems solve all product data problems?

PIM systems centralise and syndicate product information, standardising attributes and improving data completeness. While they significantly reduce manual errors and improve consistency, the quality of data entered into the PIM still depends on the initial source data and the governance processes surrounding its input and maintenance. It's a tool, not a magic bullet.

How can I measure the impact of bad product data on my conversion rate?

Track metrics such as bounce rate on product pages, product-specific cart abandonment rates, return rates with reasons (e.g., "not as described"), and customer service inquiries related to product information. Correlate improvements in data quality with changes in these metrics over time to quantify the data's impact.

What's the biggest mistake businesses make with product data?

The biggest mistake is treating product data as a one-time upload rather than a strategic asset requiring continuous management. Neglecting regular updates, failing to standardise data across all sales channels, and not integrating feedback loops from customers or sales teams are common pitfalls that lead to data degradation over time, quietly poisoning the well.

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Issue 032BenchmarkProduct DataRef 117

How bad product data quietly damages conversion

Substandard product data degrades the user experience and impacts conversion rates. We outline the common culprits and their effects on your bottom line, from missed sales to increased returns.

Ricki Larkin· AI Solutions Specialist

19 Feb 20255 min readReviewed February 2025

"Bad product data acts as a silent impediment, often overlooked in favour of more visible site optimisations."

Written by

Ricki Larkin

AI Solutions Specialist

8 years at iWeb

LinkedIn →Speak with Ricki about your brief →

Ricki leads AI implementation across commerce, content and operational workflows at iWeb. He writes about agentic commerce, AI-assisted product enrichment, retrieval quality, governance, and the commercial difference between AI demonstrations and AI systems that survive production use. Consistently focused on practical AI applications with measurable operational payoff.

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