How to Choose a PIM: Evaluation Criteria Beyond Total Cost of Ownership (TCO)

Companies comparing PIM systems typically start with a comparison of license prices and implementation costs (TCO). In the recommendation reports we prepare for clients, total cost is one of ten evaluation criteria—and not necessarily the most important one. This article provides a complete list of criteria that actually determine the choice, as well as the audit process that generates such a report.

Why does TCO rarely decide on the choice of a PIM system?

When a company starts looking for a PIM system, the first question they ask themselves is how much it will cost. While understandable, in practice, the total cost of maintaining the system over several years is rarely the deciding factor.

In a recommendation report we recently prepared for a client in the technical distribution industry, we compared two PIM systems across ten criteria, assigning weights to each based on what was important to the client. Total cost weighed 3% in this comparison. Data quality metrics—how well the system ensures the completeness of product information—weighted 20%. The client chose the system that wasn't the cheapest, precisely because TCO was one of the ten questions, not the only one.

What criteria really determine the choice of PIM?

In addition to cost, in such a comparison we take into account:

1. Data quality indicators and publication locks. Does the system show what percentage of product information is complete, and can it block the publication of a product that is missing key data – instead of releasing it to the store with empty fields?
2. Interface ergonomics for non-technical users. How quickly will product managers and marketing learn to work independently, without IT support for every change? This is the most painful criterion in old systems – users start skipping fields they don't understand and entering data wherever there's space.
3. Built-in AI for content generation. Does the system have a native mechanism for creating product descriptions based on attributes, or does it need to be built as a separate integration?
4. Media management. Can one file – for example a catalog card or certificate – be associated with multiple products at once, or does it need to be duplicated for each new SKU?
5. Import and mapping of data from suppliers. Does the system allow you to build a separate import profile for each supplier, with automatic column mapping, or does each new file need to be processed manually?
6. Support for variants and product sets. How to easily build a product in several variants in the system – for example, the same tool in different power or size – or a set of several products sold as one index.
7. Multi-channel work. Can the same attribute have a different value depending on the sales channel – a different description for a B2C store, a different one for a B2B store, a different one for a marketplace?
8. Maturity of the connector with the sales platform. Is integration with the store system a ready-made, tested solution or a framework that needs to be added from scratch for a specific case?
9. Maturity of the ecosystem around the system. How much real support and ready-made extensions does the market actually provide? The "Open source" label alone says nothing about how vibrant the community is around a specific tool.
10. Total cost of living over several years. At the bottom of the list not because it is unimportant, but because in practice it is rarely a factor that actually determines the decision.

What does such an audit look like in practice?

The answer we provide our clients when they ask which PIM to choose is a recommendation report: an audit of the client's actual needs, compared with the capabilities of systems available on the market. The process begins with a workshop where the client rates the importance of each feature on a scale of 1 to 10. These ratings become the weights in a comparative matrix. Only then, using this matrix, do we evaluate specific systems, and the results can be surprising: two systems can emerge practically equivalent, despite their completely different prices.

Honest: such a report highlights the weaknesses of every system compared, including the one we recommend. In one of our recent reports, we explicitly listed the limitations of the free edition of the system we recommended—a weaker built-in media management module, lack of native AI, and more labor-intensive configuration of product variants—and for each of these limitations, we selected a specific complementary solution, instead of glossing over them in favor of a stronger ranking. Only such honesty makes the report a real decision-making tool for the client, rather than sales material disguised as an audit.

What do you gain by judging more than price?

The price alone indicates how much the system will cost. It doesn't say whether the team will be able to use it in a year, when the catalog grows, users increase, and work processes change. Companies that evaluate PIM systems based on a full set of criteria, rather than just TCO, make a decision they can live with without costly adjustments after two years.

Before you compare prices of other PIM systems, check:

1. How many people will actually work there in a year, not just today, and will a per-user license handle this?
2. Who should have control over the development of the system – you or only the supplier?
3. How does the system handle data import from multiple suppliers and media management?
4. Does the way the system works fit your workflow, or will you adapt to it?
5. How mature is the connector to your sales platform – has it been tested in the field or is it just a paper project?

If you don't have a starting point for such a comparison, we start with an audit, which creates a recommendation report tailored to your catalog and team.