QRLynx Research and Comparison Methodology

What this page covers

QRLynx publishes product comparisons and original QR research. This page explains the shared evidence rules behind that work: which sources control a claim, how measurements with different units stay separate, what each report must disclose, and how corrections are handled. Exact samples and calculations remain on the report that publishes the result.

The separate editorial policy covers authorship, sourcing, review, and content updates across the wider QRLynx website.

Evidence used in product comparisons

A current QRLynx comparison starts with the product terms that answer the reader's decision. QRLynx allowances are checked against the product configuration and the code that enforces them. Competitor prices, limits, trials, and feature claims are checked against the provider's current official pricing, product, or help pages.

Every time-sensitive comparison should state when its sources were checked and link the relevant provider pages. A hands-on test is described only when a retained test record supports it. Products are compared on equivalent units, such as active code capacity, monthly creation, scan allowance, or analytics history. These measurements are not treated as interchangeable.

The number of products, selected criteria, and conclusion belong to the comparison article itself. They are not repeated here, so this methodology does not become inaccurate when a shortlist changes.

How QRLynx data is separated

QRLynx uses several data layers for different questions. A result must name its layer and cannot use a number from one layer as the denominator for another.

• Platform-scale processing. Rounded cumulative milestones describe operational scale across QRLynx-managed traffic. They are not a current count of retained analytics rows and are not a denominator for a research percentage.
• Owner-visible analytics. These are qualifying visits recorded for managed QR experiences after applicable access checks and recognized automated traffic filtering. Available history and dimensions depend on the source data and the account's current access.
• Report-specific cohorts. A report freezes the QR codes, creators, URLs, or observation time needed for one analysis. Its result applies to that stated cohort, not automatically to every QRLynx code or the QR market as a whole.
• External research. Industry figures remain attributed to their original source and are not presented as QRLynx measurements.

What counts as a managed scan

For owner-visible QRLynx analytics, a managed scan is a qualifying visit that reaches a QRLynx-managed QR route and completes any access step required before the destination or hosted content is served. Recognized bots, link previews, and similar automated requests are excluded from normal scan counting when identified.

Static QR codes encode their final payload directly. Their camera decodes happen outside QRLynx-managed analytics. A research report must also define whether it uses total scans, a unique-scan method, scanned QR codes, creators, submitted URLs, or observation time. Those are different units.

What every first-party result must disclose

A public QRLynx statistic must identify the measured unit, source layer, observation window, denominator, material exclusions, and limitations. The report should explain how repeated activity, automated traffic, deleted records, retention, incomplete observation windows, and other relevant constraints were handled.

Associations are described as associations. A difference observed between groups does not prove that one feature caused the result. Public research should use aggregate findings and should exclude raw IP addresses and account-level records from published results.

Current QRLynx research records

Each report below owns its exact sample, calculations, evidence, and limitations. This page supplies only the shared rules.

Commercial interest and verification

QRLynx publishes comparisons that include QRLynx. QRLynx is built and operated by Jorbox LLC, which benefits when a reader chooses the product. This relationship is disclosed so readers can evaluate the conclusion with the evidence beside it.

A comparison should give QRLynx and every named provider the same factual treatment for the question being answered. Material provider facts remain linked to first-party sources, and readers should verify time-sensitive terms before making a purchase decision.

Corrections and updates

To report an error, email support@qrlynx.com with the page URL, the exact claim, and a supporting source when available. QRLynx reviews the evidence and corrects the affected page when a change is supported. A page's modified date changes only when its visible information changes meaningfully.

How to cite this methodology

Cite the report that contains the result, then link this page when the shared QRLynx evidence rules are relevant.

QRLynx. (2026). QRLynx Research and Comparison Methodology. https://qrlynx.com/methodology