Methodology

Public snapshot methodology

This page explains how BIAN badges are read, what A1-A4 actually mean, and which public signals shape visible publisher standing across different comparison lenses.

Publisher tiers

Understanding BIAN tiers

BIAN surfaces four named benchmark bands for eligible records. Publishers without enough public evidence remain outside the quartile system and should be read as missing-data or not-eligible profiles rather than ranked tiers.

A1

Leading

Top relative band

Represents the strongest relative standing within the selected comparison lens.

A2

Strong

Upper relative band

Shows strong standing in the selected comparison set, with meaningful visible profile strength.

A3

Recognized

Recognized relative band

Represents visible standing within the selected comparison set and still qualifies as a recognized badge level.

A4

Listed

Entry relative band

Represents the bottom eligible quartile within the selected comparison set. Records without enough public evidence remain outside the quartile system instead of receiving an A-tier badge.

How tiers are read

The same publisher can show different tiers

A publisher may qualify for different badge results depending on the comparison lens used in the badge. This does not mean a lower band is a failed profile. It means the publisher sits in a different relative position within that chosen comparison set.

General profile

Compared with all tracked publishers in BIAN's publishing ecosystem.

Focus category

Compared within the publisher's main category, such as children's publishing.

Home market

Compared with publishers based in the same country or home market.

What informs a tier

Signals behind the badge

Identity

Website, branding, contact details, and profile clarity.

Activity

Catalog recency, title releases, and visible publishing continuity.

Discoverability

Retail links, media visibility, and institutional presence.

Evidence quality

How complete, recent, and verifiable the visible public signals are.

Public evidence first

BIAN only shows what it can support through public records, visible catalog evidence, and structured validation signals.

Snapshots, not hidden judgments

The public surfaces explain what is visible and fresh; they do not expose internal scoring mechanics as black-box decisions.

Enterprise views are analytical

The enterprise lenses aggregate footprint, mix, activity, and coverage so institutions can monitor the market without reading every profile one by one.

Requests stay traceable

Correction and ownership workflows are designed to be reviewable rather than disappearing into one-way form submissions.

Surface map