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How We DetermineTRUFL Score

Trufl Score Calculator

Approach behind

At Trufl, every product is rated with care, objectivity, and up-to-date market intelligence.

Our score is a blend of four rigorously tested quality signals, all powered by advanced AI and data science.

Here's how it works:

See How It Works Tap on the scheme to see detailed descriptions on each signal which is used to calculate the score.

Trufl Score Method
Trufl.ai Score All four signals are weighted and combined to generate the final Trufl Score, ensuring every rating is objective, well-rounded, and continuously updated.

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Product Quality Assesment

Based on all of the product's features and compared dynamically to all the other products and their features in the category. The relative position of the product within the market is determined and translated into a score. What affects does this score specifically?

  • Key innovations or better features can boost the score as new models come to the market.
  • When better models come to the market, older products may decrease in their score.
  • Products that do not offer notable features score in the middle.
Quality Assessment

Brand Feedback

We conduct in-depth analysis for the brand within every category. Therefore we take several signals into account:

  • We conduct in-depth analysis for the brand within every category. Therefore we take several signals into account:
  • Brand feedback gathered from several sources across the internet.
  • Brand reputation for specific product lines The result is that even newer/less known brands gain a strong signal for products that have less direct customer feedback.
Brand Feedback

Customer Feedback

Customer feedback has been a tried and tested signal for decades and represents a strong signal within our analysis. We go further than that by analyzing the context and objectivity reflected by the content of this customer feedback. We consider the following metrics:

  • Price feeling (how do users feel about the product’s price in relation to the features)
  • Delivery (has the user received all promised assessments)
  • Product reviews (review ratios, overall user satisfaction)
Customer Feedback