Changing the “explore by” dimension changes what kind of entities are called out. You can click on callouts from this section to filter the narrative further.

 




Breakdown

 

 

Top driver - Calls out the entity that contributed most to the directional change from the previous period. If there is more than one tied for the highest value, Lexio will call out multiple entities. 

e.g. - "The increase in the total pageviews last week relative to the week before was primarily driven by the (Other) channel grouping (33,922)."


Greatest contributor - Calls out the top entity by the story metric for that period. If there is more than one tied for the highest value, Lexio will call out multiple entities. 

e.g. - "the top contributor to the total pageviews last week was also the (Other) channel grouping (43,767)."

 

Top Contributor compared to average - Compares the bookings of the top entity to the average of all the entities.

e.g. - "Its total pageviews was over four times (33.4k) greater than the average total pageviews per channel grouping (10.4k)."

 

 

Compare


This feature allows the user to choose two entities to compare. Using the dropdowns, the user can select specific named entities or use the rankings. 


Metric Comparison - Introduces the two entities being compared and calls the value difference between them.

e.g. - "The best channel grouping by total pageviews last week was the (Other) channel grouping, and the next-best channel grouping by total pageviews was the Social channel grouping. The (Other) channel grouping's total pageviews (43,767) was over eight times (38,508) greater than the Social channel grouping's (5,259)."


Drivers comparison - Calls out the top contributing dimension drivers for each entity being compared. 

e.g. - "The top contributors to the (Other) channel grouping's total pageviews were the LinkedIn campaign (43,616), the Cloud Campaign medium (43,616), and the Facebook source (41,473), but the top contributors to the Social channel grouping's were the referral medium (5,259), the LinkedIn campaign (5,259), and the Facebook source (4,522)."