From
Jan Kittelberger
Reading time: 4 minutes
Many e-commerce teams invest significant budgets in SEO, SEA, social ads, and campaigns. The result: Visitor numbers are rising. But if the product detail pages are not convincing, the conversion rate and turnover fall short of expectations.
Experience shows that one of the biggest levers lies not in more traffic, but in better product data. This is exactly where a PIM system comes in.
Incomplete product information
Articles with little, generic data (e.g. only title and a brief description) appear interchangeable and do not answer users' questions.
Poor filter and search results
If important attributes are missing or maintained inconsistently, filters, faceted navigation and internal search work poorly. Customers can't find what's actually there.
Incorrect or inconsistent information
Different measurement units, contradictory technical information or outdated product information lead to loss of trust and, in case of doubt, to returns.
A PIM system is the data basis for convincing product detail pages:
Buyers in both B2B and B2C want to understand whether a product is suitable for their intended use. The clearer and more complete the information, the lower the uncertainty — and the higher the probability of buying.
Search engines not only evaluate texts, but also the structure and completeness of product data. Clean titles, descriptions, attributes, and structured data (Schema.org) improve visibility.
If customer A sees different information in the web shop than customer B in the PDF data sheet or on a marketplace, misunderstandings are inevitable. A PIM ensures that all channels are supplied from the same data source.
A typical case from B2B e-commerce:
PIM and e-commerce belong together. While the shop is the interface on which your customers decide, PIM delivers the content on which that decision is based. If you think both things together, you get significantly more out of your traffic — and at the same time save time and money in data maintenance.