Abstract: Analytical methods and systems applied to a plurality of input files to understand and explain crucial factors leading to customers jumping, or hopping, from one channel to another channel. The methods and systems described may include receiving a first file associated with a first channel dataset and receiving a second file associated with a second channel dataset. The methods and systems described may include merging the two datasets based on key fields found within the metadata of the two files. In some embodiments, additional statistical metrics and measures may be applied to the merged dataset to both rank the merged events and to display the characteristics of each event within the entire merged dataset.