TrustData principles

Useful intelligence.
Clear boundaries.

BGraph builds clickstream and AI search intelligence around aggregated, privacy-secured behavioral signals. These principles define the public standard for product design, customer review, and market expansion.

Our position

Browsing and query data can be personal or sensitive even when direct identifiers are removed. BGraph does not treat pseudonymisation as proof of anonymity. Product claims, fields, retention, delivery, and geographic scope must match the legal basis and realistic re-identification risk.

01

Market patterns first

Standard outputs focus on aggregated journeys, category movement, audience cohorts, and market-level trends. We do not market the product as a way to identify people or read private conversations.

02

Purpose before fields

Every request starts with the buyer's question. Fields that do not support that purpose should not be included. Sensitive categories and high-risk uses require separate review or exclusion.

03

Jurisdiction controls

Available data may differ by country. Consent, opt-out, data broker, individual rights, retention, and cross-border requirements must be mapped before a dataset is offered in a market.

04

Claims follow evidence

We publish only metrics that can be supported by current data. Until coverage figures are verified, BGraph uses capability language such as global-ready, daily-ready, and flexible delivery.

Regional baseline

One product standard.
Different legal tests.

This overview guides product wording and review. It is not a substitute for advice from counsel in the relevant market.

European Union

Online identifiers and browsing records may be personal data. Pseudonymisation is a safeguard, not the same as anonymisation. Collection from a device may also require consent under national ePrivacy rules.

Official source: European Data Protection Board
Buyer controls

What customers should expect

  • A documented dataset scope and intended use
  • Delivery fields and geography defined in the contract
  • Restrictions on re-identification and individual targeting
  • Security and retention terms appropriate to the data
  • Review of sensitive categories and regulated uses
  • Cross-border controls where the dataset requires them
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