A long-standing issue in online pet food evaluation
For more than two decades, the internet has seen the emergence of countless “Petfood Scores,” “pet food reviews,” and ranking systems claiming to evaluate the quality of dog and cat food. Many of these systems rely on simplified grading formats such as A, B, C, D or E, or numerical scores that promise quick and easy comparisons.
While these approaches may appear helpful at first glance, a closer look reveals a recurring problem: a significant number of these scoring systems are created and maintained by individuals without formal knowledge or structured understanding of animal nutrition. As a result, the evaluations are often based on incomplete data, questionable assumptions or simplified interpretations that do not reflect the complexity of pet nutrition.
Over time, these systems have contributed to widespread confusion rather than clarity.
The widespread use of inaccurate carbohydrate calculations
One of the most common issues found in many online pet food scores is the calculation and interpretation of carbohydrate content. In numerous cases, carbohydrate levels are estimated using indirect formulas that are either incorrectly applied or based on incomplete product data.
These approximations are then treated as precise values, even though they may vary significantly depending on factors such as moisture content, fiber, ash or analytical rounding. In some situations, the margin of error is substantial enough to completely alter the perceived nutritional profile of a product.
Despite these uncertainties, such calculated values are often used as a central criterion in scoring systems, leading to distorted rankings and misleading conclusions.
The persistence of questionable claims about carbohydrates
Alongside these calculation issues, another recurring pattern has emerged: the repeated claim that carbohydrates are inherently harmful or even “toxic” for dogs and cats.
This type of statement is frequently presented without context, nuance or scientific grounding. It simplifies a complex nutritional topic into a binary judgment, ignoring important distinctions such as:
- The type and source of carbohydrates
- The overall formulation of the product
- The role of carbohydrates within a balanced diet
- The individual needs of different animals
Such claims can lead pet owners to make decisions based on fear rather than understanding, sometimes excluding entire categories of products without a clear and justified reason.
When simplification leads to misinformation
The combination of inaccurate data and oversimplified interpretations creates a situation where many online pet food scores do not inform, but rather mislead.
By reducing complex nutritional profiles to a single score or a limited set of criteria, these systems give the impression of objectivity while masking the limitations of their methodology. Users are encouraged to rely on rankings instead of understanding the underlying factors that define product quality.
This approach not only distorts perception but can also undermine trust in more rigorous and transparent sources of information.
A different approach: providing reliable and structured information
The Petfood-Score developed within the Petfood Advisor framework (also referred to as Petfood-Score Pacta) was created in response to these limitations.
The objective is not to replace one scoring system with another, but to move away from the logic of simplified ratings altogether. Instead of assigning arbitrary grades, the focus is placed on delivering structured, verifiable and understandable information.
This approach is based on several key principles:
- Transparency in methodology
- Clear explanation of nutritional concepts
- Careful interpretation of available data
- Avoidance of unsupported or exaggerated claims
- Respect for the complexity of animal nutrition
Rather than presenting conclusions without context, the aim is to provide the elements necessary for informed interpretation.
Supporting informed decision-making
Petfood-Score is designed as a set of decision-support tools rather than a system of judgment. It helps users:
- Understand how to read and interpret ingredient lists
- Identify relevant nutritional factors
- Compare products using consistent criteria
- Recognize the limits of available data
This approach encourages active engagement with information, allowing pet owners to make decisions based on understanding rather than relying on simplified indicators.
Restoring clarity in a complex field
The proliferation of unverified scoring systems over the past 20 years has highlighted the need for a more rigorous and responsible approach to pet nutrition information.
By focusing on clarity, structure and transparency, Petfood-Score aims to contribute to a better understanding of pet food, while avoiding the pitfalls associated with oversimplification and unsupported claims.
In a domain where information is abundant but not always reliable, providing accurate, contextualized and accessible content becomes essential.
A commitment to reliability over simplification
The philosophy behind Petfood-Score is rooted in a long-term commitment: prioritizing reliability over convenience, and understanding over immediate judgment.
Rather than offering quick answers in the form of letters or rankings, the goal is to build a framework that respects the complexity of nutrition and supports more thoughtful, informed choices.
In doing so, Petfood-Score seeks to redefine how pet food is analyzed and understood, moving away from misleading shortcuts and toward a more responsible and sustainable approach to information.