Customer profitability analyses

Detects customer profitability analyses: a customer profitability / cost-to-serve / customer lifetime value phrase combined with populated per-customer data - rows keyed by a customer identifier, labelled margin/profit/revenue values or labelled customer identifiers. Phrase-only mentions 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+profitability|profitability\s+analys[ie]s|customer\s+margins?|customer\s+lifetime\s+value|revenue\s+per\s+customer|cost\s+to\s+serve|profit\s+contribution|account\s+profitability)\b

Corroborative evidence keywords

cost allocation, rebate, pricing, price increase, unprofitable, reprice, wallet share, cross-sell, commercial-in-confidence, key account, data record, database record, record set, data extract, data export, database table, spreadsheet, data registry, registry entry, master data (+2 more)

Proximity: 300 characters

Should match

Should not match

Known false positives

References