Method and system for providing pre-approved A/A data buckets

A system having at least one processor, storage, and a communication platform connected to a network for providing pre-validated data buckets for online experiments, comprising:

• a metric computation system configured to:
• obtain user activity data representing user activities of a plurality of users having a first plurality of respective user identifiers;
• hash each of the first plurality of user identifiers to obtain a plurality of hash values:
• generate a set of metric values representing a user engagement metric for each hash value of the plurality of hash values based on the user activity data;
• a hash value exclusion system configured to:
• rank the plurality of hash values based on the set of metric values to obtain a ranked list of hash values;
• and
• determine a range of hash values to be removed from the plurality of hash values based on one or more exclusion rules and the ranked list of hash values;
• and
• a hash value selector system configured to generate a homogenous value set by removing the range of hash values from the plurality of hash values, wherein each hash value value from the homogenous value set corresponds to one or more user identifiers from the first plurality of user identifiers that are permitted to be placed in a data bucket for an online experiment.

A non-transitory computer readable medium having instructions recorded thereon for providing pre-validated data buckets for online experiments, wherein the instructions, when read by at least one computer system, effectuate operations comprising:

• obtaining user activity data representing user activities of a plurality of users having a first plurality of respective user identifiers;
• hashing each of the first plurality of user identifiers to obtain a plurality of hash values;
• generating a set of metric values representing a user engagement metric for each hash value of the plurality of hash values based on the user activity data;
• ranking the plurality of hash values based on the set of metric values to obtain a ranked list of hash values;
• determining a range of hash values to be removed from the plurality of hash values based on one or more exclusion rules and the ranked list of hash values;
• and
• generating a homogenous value set by removing the range of hash values from the plurality of hash values, wherein each hash value from the homogenous value set corresponds to one or more user identifiers from the plurality of user identifiers that are permitted to be placed in a data bucket for an online experiment.