Generating significant performance insights on campaigns data

A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to execute a process, the process comprising:

• training a regression model using a training set including segments and corresponding performance metrics of a plurality of potentially significant insights, each segment being a combination of a dimension and a value, wherein each insight includes a segment and a corresponding performance metric;
• filtering, based on the regression model, at least one insight from the plurality of potentially significant insights to result in at least one significant insight;
• computing, based in part on the regression model, a total significance score for each of the at least one significant insight;
• and
• ranking the at least one significant insight based on the computed total significance scores.

A system for providing significant performance insights on marketing campaign data, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• train a regression model using a training set including segments and corresponding performance metrics of a plurality of potentially significant insights, each segment being a combination of a dimension and a value, wherein each insight includes a segment and a corresponding performance metric;
• filter, based on the regression model, at least one insight from the plurality of potentially significant insights to result in at least one significant insight;
• compute, based in part on the regression model, a total significance score for each of the at least one significant insight;
• and
• rank the at least one significant insight based on the computed total significance scores.