The basis for performance

Product data optimization for marketplaces, feeds, and AI searches

Product data determines whether products are found, whether advertising runs efficiently, and whether marketplaces can be controlled effectively.
Structures, attributes, titles, and USPs form the basis for performance—not just campaigns.

We help brands strategically align their product data with clear requirements for each marketplace, in-depth analyses, and actionable recommendations. The focus is on consulting, prioritization, and management—not manual mass maintenance.

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Product data optimization for marketplaces

On marketplaces such as Amazon, Zalando, OTTO, and About You, product data is not purely a content issue, but a key control factor. Mandatory attributes, variant logic, title structures, and USPs determine how products are classified, displayed, and advertised.

We know in detail:

  • Which attributes are mandatory for each marketplace
  • how product and variant titles must be structured
  • which USPs are relevant for each platform
  • where typical data errors cost performance

We apply this expertise in analyses, audits, and specific recommendations for action. Product data is not optimized across the board, but rather evaluated and prioritized in specific areas where it influences visibility, conversion, and advertising efficiency.

Depending on the setup, operational implementation is automated, selective, or via existing feed engines and systems. The decisive factor is not the tool, but the underlying data logic.

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Product data optimization for online stores

Structured product data is also the basis for performance in your own online store. Clean attributes, consistent content, and clear category logic enable a functioning internal search, filter structures, and a clean user experience.

For us, product data optimization in the context of online stores means:

  • clear data models instead of historically grown structures
  • Relevance for your products—without having to adjust the data in the shop
  • Scalability for new product ranges and markets

This creates data structures that not only support the shop itself, but also all connected marketing and sales channels.

  • In many setups, feed engines are the central link between online shops, marketplaces, and other channels. We support companies in the structured use and further development of these systems—not just in terms of tool operation, but also with a view to data logic, prioritization, and goal setting.

    Our focus in feed engine management is on:

    • Definition of clean feed structures and rules
    • Prioritization of relevant attributes per channel
    • Evaluation of automation and its impact on performance
    • Alignment between product data, advertising requirements, and internal processes

    We work closely with existing systems and tools (e.g., feed engines such as Channel Pilot Pro or channable). The goal is to create a setup that remains scalable, reduces manual effort, and makes product data consistently usable across all channels. We can connect our proprietary optimization tools to all existing systems.  

  • The number of products in your data feed is just as important as the marketing channels you use or your international activities. Differences also arise in the preparation of product data and the available control mechanisms. Comparing providers therefore always depends on individual criteria.

    In this context, we work with various feed engines and can draw on valuable experience with different technologies. Our expertise lies in selecting the right feed engine for each online store and ensuring the optimal technology in conjunction with a data feed. We also develop our own software modules and use them to extend the functionality of existing feed engine technologies. Regardless of the technology used, we optimize data feeds as part of our feed engine management and ensure that your product data is optimally placed in the respective portals. This allows you to achieve the best possible return on investment for your campaigns.

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Feed optimization for AI search queries

Product searches are changing. Instead of "lightweight women's running jacket," users are increasingly searching based on prompts: 

"I'm looking for a lightweight running jacket for women that is windproof and waterproof and costs less than 100 euros." 

But it's not just the way people search that is changing, but also how data feeds need to be structured optimally in order to be relevant for suitable search queries. 

AI-based systems rely on structured, consistent product data that not only incorporates keywords, but also application examples, USPs, and understandable language. 

Product data optimization is thus increasingly becoming a strategic prerequisite for visibility in AI systems—far beyond traditional marketplaces. We consider this issue at an early stage and develop data structures in such a way that they can also meet future requirements.

That's why we developed our Product Data OptimAIzer, which automatically enriches, optimizes, and prepares data for AI. 

Request a quick check of your Google Shopping data now and we will tell you how well your data is already prepared for AI searches: 

Request product data check

 

Product Data Optimizer: Before and After

Frequently asked questions

  • For us, product data optimization is not just about data maintenance, but rather the strategic alignment of product data with performance goals. We analyze, structure, and prioritize product data so that it can serve as the basis for marketplace performance, advertising, and data-driven decisions.

  • Advertising can only be as effective as the product data on which it is based. Incomplete attributes, unclean titles, or inconsistent variants lead to poor matching, higher click prices, and inefficient budget utilization. Product data optimization creates the basis for relevant playback, clean campaign structures, and better conversion rates.

  • We optimize product data across all channels—with a focus on marketplaces such as Amazon, Zalando, OTTO, and About You, but also for online stores, Google Shopping, product search engines, and AI-based systems. The decisive factor is not the individual channel, but consistent data logic across all touchpoints.

  • AI-based systems rely on structured, consistent, and logically organized product data. Clear entities, attributes, and clean data models are prerequisites for being considered in AI-supported searches, recommendations, and displays. Product data optimization thus becomes the strategic basis for future visibility.

  • Both are possible. Product data optimization can be carried out as an initial setup, as a project-based analysis, or as part of ongoing marketplace and advertising support. The key thing is that data is continuously adjusted where it influences performance.

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Do you have questions, ideas or simply want to find out more about our services for marketplaces and product data marketing? Send us a message or book an appointment directly so that we can plan your e-commerce success together!

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