Customer segmentation outputs

Detects customer segmentation outputs: a customer segmentation / segment or cluster assignment phrase combined with populated assignment data - rows keyed by a customer identifier, labelled segment/cluster/persona values or labelled customer identifiers. Phrase-only mentions (marketing plans, strategy decks) stay discovery-only.

Type: regex
Engine: boost_regex
Confidence: medium
Confidence justification: Enforce tiers require populated dataset structure (a data row keyed by a customer/record identifier, a labelled value or a labelled identifier) beside the topic phrase; a column header on its own only counts toward 85, so blank extracts stay at 65. Help pages, policies, product copy and news that only name the topic stay at 65. Medium because internal analytics documentation with worked examples can still reach 75.
Detection quality: Topic false positive
Jurisdictions: global
Regulations: Privacy Act 1988 (Cth), Information Privacy Act 2009 (Qld), NDB Scheme (Cth), GDPR
Frameworks: ISO 27001, ISO 27701
Data categories: pii
Scope: wide
Risk rating: 8
Platform compatibility: Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported

Pattern

(?i)\b(?:customer\s+segmentation(?:\s+(?:outputs?|results?|models?|files?|extracts?))?|segment\s+assignments?|cluster\s+assignments?|persona\s+assignments?|customer\s+segments?|behaviou?ral\s+segments?|micro-?segments?)\b

Corroborative evidence keywords

propensity, lifetime value, affluence, life stage, household income band, inferred, lookalike audience, targeting, campaign eligibility, sensitive attribute

Proximity: 300 characters

Should match

Customer segmentation outputs - k-means v3 (Sept 2026) customer_id,cluster_id,segment_name,value_tier,lifestage 10442187,4,Stretched Young Families,Low,Parents with toddlers 10442190,1,Affluent Empty Nesters,High,Retirees Lookalike audience and campaign eligibility files built from clusters 1 and 4. — Assignment extract - header, customer rows and targeting evidence (85)
Customer segment assignment Customer ID: 10442187 Reassigned after the September refresh. — Single labelled customer identifier (75)
Customer segments refresh - CRM profile export Customer number: CN-00418273 Segment name: Budget Conscious Renters Value tier: Medium Life stage: Young professional, no dependants Propensity to churn 0.71; household income band inferred from postcode. — CRM profile with labelled customer number, segment, value tier and inferred-attribute evidence (85)

Should not match

Marketing guidance note: our customer segments are Young Families, Empty Nesters and Students. Use them to shape creative, not to exclude people from offers. — Marketing guidance naming segments
Segment assignment file customer_id,cluster_id,segment_name,value_tier — Blank extract - column header only (65)
The supermarket said behavioural segments helped it target discounts, a news report said. — News item
unrelated generic text without domain phrases — Unrelated
customer invoice — Generic word pair

Known false positives

Privacy notices, help-centre articles, product pages and policies describing customer segments. Mitigation: They name the topic without populated rows, labelled values or identifiers, and guidance/help framing is excluded, so they stay at 65.
Analytics training material and documentation with worked examples of customer segments. Mitigation: Training and template framing is excluded; unframed worked examples with realistic rows can still reach 75.
News and industry commentary with aggregate statistics. Mitigation: Aggregate percentages are not keyed to a record identifier, so they do not satisfy the row or labelled-value structures.