Buyary Methodology

The Buyary Score is a 0–100 product evaluation built from structured analysis of the relevant evidence for that product and category: expert reviews, professional testing, customer feedback, creator and video analysis, product specifications and manufacturer documentation, retailer ratings, owner and community discussions, and peer-reviewed research where relevant.

Buyary does not simply average ratings or count positive mentions. Sources are weighted by quality — testing rigor, transparency, and consistency over time — so well-supported findings count for more than volume or popularity. The score summarizes the overall evaluation; the supporting evidence explains a product's strengths, limitations, and trade-offs.

Scores of 80 and above reflect strong, consistent evidence of quality: 80–89 is Excellent and 90–100 is Exceptional. Scores of 70–79 are Above Average and 60–69 Average, while lower bands — 50–59 Inconsistent, 40–49 Below Average, 0–39 Poor — signal notable concerns in the evidence.

The number should not be read in isolation. A strong score can carry trade-offs that matter for a particular buyer, a lower-scoring product can still fit a specific use case or budget, and a one-point difference is not a meaningful quality gap. Read the score together with the evidence behind it.

Buyary analyzes multiple forms of product evidence rather than relying on any single review, rating, or publication: expert publications, specialist reviewers, creator and video reviews, customer reviews, retailer ratings, product specifications, scientific literature and peer-reviewed research, owner forums, product communities, and long-term reliability discussions.

Not every evaluation uses every source type — evidence is selected for its relevance to the product and category. Drawing on different forms of evidence surfaces recurring findings, meaningful disagreements, and issues no single source would catch.

Not every source deserves equal influence. Sources are weighed on testing rigor (hands-on usage, structured evaluation, long-term testing, measurable performance criteria), transparency (disclosed testing methods, funding, and potential conflicts), and consistency — whether a source provides reliable, well-supported analysis over time.

Repetition alone is not enough: a claim that appears frequently is not automatically reliable if the underlying evidence is weak or duplicated. The objective is to identify the strongest available evidence, not the most popular conclusion.

Buyary does not physically test every product itself. Evaluations are built on structured analysis of sources that do: professional testing organizations, expert reviewers, creators, researchers, customers, and long-term owners.

Controlled testing, expert evaluation, and real-world ownership each provide different kinds of information, so Buyary analyzes them together rather than treating any single source as definitive. When reliable hands-on testing exists, it contributes to the broader evaluation and helps explain how a product performs under specific conditions.

Disagreement is treated as information, not noise. Different conclusions often trace to different test conditions, product variants, expectations, or intended uses — so Buyary examines the evidence supporting each side, identifies which concerns recur, and considers which buyers are most affected.

The majority view does not automatically win: a smaller number of sources with stronger, more relevant evidence can outweigh a louder consensus. Surfacing disagreement shows where a product performs consistently and where individual needs may change the conclusion.

The principles are consistent everywhere — evidence quality, transparency, independence, and attention to trade-offs — while the evaluation criteria reflect what matters in each category. The evidence relevant to a laptop is not the evidence relevant to skincare or a running shoe.

Category-specific performance factors let Buyary evaluate products on meaningful dimensions without abandoning one underlying methodology, so generic ratings don't obscure the characteristics that actually determine quality and fit.

Buyary uses AI systems to analyze and organize product evidence at a scale no manual process could cover, while keeping every conclusion connected to underlying evidence and established evaluation criteria — an unsupported claim does not become authoritative because a model generated it.

The methodology itself is governed by people: Buyary's founding team designs the evaluation frameworks, supported by human quality review, with editorial oversight led by our VP of Content and Strategic Operations. Our Editorial Policy describes this oversight in detail.

Scores are updated when material new evidence changes the understanding of a product: new expert reviews, meaningful shifts in customer sentiment, product revisions or discontinuations, new scientific research, long-term reliability information, safety or recall issues, and identified data corrections.

An update does not necessarily change the score — new evidence can reinforce an evaluation as easily as revise it. When a score does change, the revision follows the same evidence standards as the original evaluation; scores never change because a brand, retailer, or partner requests a more favorable result.

No. Brands, retailers, advertisers, affiliate partners, and platform customers cannot pay to increase a Buyary Score or determine editorial conclusions.

Buyary may earn affiliate commissions from some outbound links and may display clearly disclosed sponsored placements, but commercial relationships are kept separate from evaluation: they never determine scores, rankings, source selection, or editorial conclusions. This separation is documented in our Editorial Policy.

Material factual errors — inaccurate product information, misattributed evidence, an incorrect product variant, outdated safety information — are corrected when identified and verified. Issues can be reported through our contact page; credible correction requests are reviewed as part of the corrections process, with the aim of reviewing them within 30 days.

A correction request does not guarantee a score change: Buyary distinguishes verifiable factual errors from disagreement with an evidence-based editorial conclusion.

Yes — scores are meant to be explained, not presented as unexplained numbers. Product evaluations on buyary.com include the reasoning behind the score: summaries of strengths and trade-offs, in-depth analysis, category-specific feature scores, per-source findings, and product specifications.

The depth of evidence shown varies with the product and the sources available for it, and grows as an evaluation matures.