Popularity, with context.

What the percentage means

A score of 70% means 70 points on our 0–100 index. It does not mean a supplier has 70% of the market, that 70% of operators use it, or that its products are better than lower-scoring alternatives. It is a discovery signal based on scale proxies, not a survey of brand awareness.

Supplier profiles show the underlying figures, their units, dates, scope and linked sources. A reported brand count can include several brands operated by one client. A payment or identity company may serve many industries. Group workforce and indirect game distribution are identified where relevant. Geographic figures can refer to customer presence, prior market experience or certified availability; they do not all measure active customer reach. These measures are imperfectly comparable.

A reproducible calculation

Each available signal is scaled logarithmically: 100 × ln(1 + reported count) ÷ ln(1 + reference ceiling), capped at 100. The reference ceilings are 1,000 commercial relationships, 10,000 employees and 100 countries or markets. The component scores are weighted 45%, 35% and 20%, then rounded to a whole number.

These weights and reference ceilings are editorial modelling choices, not statistically calibrated probabilities. “More than” counts use the disclosed lower bound; ranges use their lower endpoint. Published approximations remain marked as approximate. We do not add a bonus for a listing, sponsorship or a company’s position in our own directory.

Missing, old and uncertain evidence

We never interpret a missing figure as zero customers or employees. An unavailable signal uses a provisional component baseline of 25/100. That baseline is a modelling assumption, not a measured fact. A supplier with no usable numbers therefore starts at 25/100 and is explicitly labelled low confidence with 0% evidence coverage.

Evidence coverage is the sum of weights backed by usable figures. High confidence requires all three signals, dated within two years, without workforce ranges or approximate counts. At least 70% coverage receives medium confidence; other estimates receive low confidence. Figures older than three years are shown as historical context and excluded from the score. Undated website figures and ranges lower confidence.

We have not included Google ranking, website traffic or search volume in this edition. A search result observed during research is not a repeatable visibility measurement. Those signals need a consistent measurement window, market, query set and data source before they can be added.

How sorting works

Supplier listings default to the highest estimated popularity first. Alphabetical order breaks ties. Products inherit their supplier’s score and are labelled “Supplier popularity”; we do not claim separate product adoption data. Product lists can also be sorted alphabetically by supplier or product. Changing the sort order does not change the underlying estimates.

Comparisons still show product facts and their sources. Popularity is not an aggregate customer review or a star rating, and is not marked up as one. A smaller specialist can be a better fit for a particular requirement.

Review and corrections

Current estimates were researched on 8 October 2026 using supplier websites, annual reports, official announcements and company-published LinkedIn workforce bands. Public claims are attributed, not independently audited. New evidence can move the score in either direction.

Editors can correct evidence in the CMS and recalculate the score. A manual score adjustment requires a public explanation. Drafts, editorial locks and existing manual overrides are preserved during automated imports. The profile’s review date shows when its evidence was last checked.