Ad bidding model parameters

Identifies private bidding-model parameters rather than online-advertising vocabulary generally: named parameter assignments (bid floors, pacing multipliers, objective weights, budget caps) enforce, while auction and programmatic-advertising topic terms remain discovery-only.

Type

regex

Engine

boost_regex

Confidence

medium

Confidence justification

category-aware structural regex with anchor and context constraints replaces phrase-only detection.

Detection quality

Topic false positive

Jurisdictions

global

Regulations

AML/CTF Act (Cth), HRIPA (Cth), IPA 2009 (Qld), My Health Records Act 2012 (Cth), NDB Scheme (Cth), Privacy Act 1988 (Cth), TIA Act 1979 (Cth), GDPR

Frameworks

ISO 27001, ISO 27701

Data categories

intellectual-property, business

Scope

wide

Risk rating

8

Platform compatibility

Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported

Pattern

(?is)\b(?:ad\s+bidding\s+model\s+parameters|bidding\s+algorithm|bid\s+strategy|auction\s+model|real[\s-]+time\s+bidding|programmatic\s+advertising|bid\s+optimization|proprietary\s+model|trade\s+secret|cost\s+per\s+click)\b

Corroborative evidence keywords

ad bidding model parameters, bidding, model, parameters, intellectual, property, trade, secrets

Proximity: 300 characters

Should match

• ad bidding model parameters — Primary topic phrase match
• bidding algorithm — Case-insensitive topic phrase match
• bid strategy — Alternative topic phrase match
• auction model — Additional topic phrase match (discovery only)
• campaign AU-7: bid_floor=1.35; ctr_weight=0.28; conversion_weight=0.72; pacing_multiplier=0.91 — Named bidding parameters with numeric values reach the enforcing tiers
• The help page defines real-time bidding and cost per click. — Public definition text matches the topic branch only (discovery, not enforcement)

Should not match

• unrelated generic text without domain phrases — No relevant topic phrases present
• placeholder value 12345 — Random text should not match topic-specific regex
• algorithm schematic — Generic word pair from old broad template should not match
• The auction sold a painting after five bids. — Art-auction sense carries no ad-bidding topic phrase or parameter assignment
• Training lab sample: bid_floor=1.00 and target_cpa=20. — Template/sample exclusion suppresses synthetic parameter values at enforcement tiers

Known false positives

• Common words and phrases related to ad bidding model parameters appearing in policy documents, training materials, HR templates, or compliance guidelines without actual personal data. Mitigation: Require corroborative evidence keywords within the proximity window to confirm sensitive data context rather than general discussion.
• In Australian English, similar terminology used in formal or administrative contexts (education, professional documentation) that does not constitute sensitive data collection. Mitigation: Layer with additional contextual signals such as structured identifiers, form fields, or database column headers to distinguish sensitive records from general references.
• High-frequency pattern matches in large document corpora due to broad regex anchors. Expected match rate is significantly higher than specific identifier patterns. Mitigation: Tune confidence thresholds for bulk scanning. Consider using this pattern primarily as a pre-filter with secondary validation.

References

• https://www.accc.gov.au/business/competition-and-exemptions/cartels
• https://www.accc.gov.au/business/competition-and-exemptions