We first introduced our probabilistic modeling solution back in 2018, with the rollout of AppsFlyer’s adaptive lookback attribution. Probabilistic modeling leverages our scale and machine learning to measure campaign performance without compromising on privacy.
Probabilistic modeling is completely anonymized to ensure the highest possible level of privacy. This form of attribution is based on probabilities, not ID matching, therefore lookback windows cannot be defined. The actual attribution window may be anywhere from zero to 24 hours.
Probabilistic modeling has proven to work on all iOS versions in the past, and has already been tested and validated for iOS 14 —by applying our probabilistic models on matches that have been previously made using a deterministic method— proven in production to be >90% accurate.« Back to Glossary Index