Product data that sells

Crucial are all the information platforms and customers need for correct assignment: titles, attributes, categories, variants, images, and structured descriptions. They determine how well products are understood, displayed, and rated—and thus directly how visible and relevant they are.

Typical signs include: products are not displayed correctly or at all, campaigns generate traffic without sales, rejections occur, or visibility remains low despite demand. These symptoms indicate missing, incorrect, or incomplete product data.

Optimized product data increases the relevance of your ads and performance. Platforms can match products more precisely, which improves ad delivery, reduces rejections, and boosts clicks and conversion rates. This directly impacts your ROAS and overall performance positively.

Product data optimization improves the content of your data – e.g., titles, attributes, categories, and quality. Feed management controls the distribution of this data across various channels. Both are related but fulfill different tasks.

The data is automatically analyzed, structured, and enriched. Rules and AI functions supplement missing information, detect errors, and ensure consistent, channel-specific content. Changes can be rolled out centrally and scalably for all products.

Primarily shopping-based and product-driven platforms: Google Shopping, social commerce and retail media channels, as well as all common marketplaces. The higher the quality of the data, the better the visibility and conversion.

Yes, but only manually. With particularly broad product ranges or frequent changes, this quickly becomes complex, error-prone, and hardly scalable. Product data optimization through Channel Pilot Solutions enables structured rules, automation, and consistent quality across all channels.

It pays off as soon as assortments grow, rejections increase, campaigns don't perform despite traffic, or multiple channels are managed in parallel. Optimization is also crucial for large catalogs because it brings a scalable structure to complex data.

AI recognizes patterns, completes missing attributes, suggests optimizations, and checks data quality. It is particularly helpful for large assortments to provide standardized, complete, and consistent product information more quickly and efficiently.

Data processing is GDPR-compliant on servers in Europe. Access, changes, and exports are clearly traceable. Modern security and encryption methods protect your data at all times.