Methods and apparatuses are described herein to identify the anonymous events which may belong to the same customer by providing inter-event virtual linkage sequence to link anonymous behavior data from multiple independent sessions. The behavior data may be encrypted without tracking or storing all other types of data such as contact information. An anonymous user may be identified and categorized based on rhythms of predictive behavior pattern sequences by extracting signatures the rhythms to provide fast content based search to identify one or more similar behavior event patterns from a set of data. The signatures may include multiple time series vectors, which may be matched to unique patterns. Personalized services may be offered to anonymous offer pools and may be based on event patterns categories defined and detected by customized rules. The application or game may use the data collection inter-session virtual link to pull the service offer.
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