This concern is heightened by the specification’s repeated characterization of attribution as a means of identifying “effective” advertising and improving advertising performance. The document states that attribution enables advertisers to learn “what ads perform best” and to spend more on “effective advertising” and less on “ineffective advertising.” However, observational attribution systems generally do not establish whether advertising caused incremental outcomes. At best, they identify statistical associations between exposures and subsequent actions.
Given the extensive longstanding critique of attribution modeling’s inability to distinguish causation from selection effects and pre-existing purchase intent, these claims risk overstating what such systems are scientifically capable of determining.
— 📈 Rick BrunerReplicated under Fair Use from The Measurement Problem Inside the W3C Attribution Standard by 📈 Rick Bruner.