Headline - the headline describes the metric that the story is about and the timeframe selected.
e.g. - "Total Pageviews in The Week Ending May 31"
KPI Box - The main KPI is the value of the metric for the timeframe selected. It will be totaled or averaged depending on the aggregation type the builder used to initially create the story. To the right of the main KPI is a comparison to the previous period. The sentence calls out the absolute difference, the percent difference in parentheses, and the previous period's actual value. The color of the arrow (red vs green) is dependent on how that metric was set configured as a Knowledge Base Concept.
e.g. - "27,301 (110%) greater than the total pageviews the week before (24,774)"
Comparison to average for previous periods - compares the value of the metric from the selected period to the average of previous periods.
e.g. - "Last week, the pageviews totaled 52,075, which was over three times (35.1k) greater than the average total pageviews per week over the past 10 weeks (17k)."
Comparison to most recent period - Compares the value of the metric from the selected period to the previous period. It calls out the percentage difference between those values.
e.g. - "The total pageviews was up 110% relative to the week before (24,774)."
Best period comparison- looks at all of the recent periods and calls out the period with the highest value for that metric and makes a compares the selected period the best period. (lookback period depends on this timeframe being used - see table above). Note, this content only appears when timeframe type is “Last”.
e.g. - "It was down 8% relative to the week ending May 10 (56,554), the best week by total pageviews."
Driver list - looks across five unique dimensions (e.g. medium, channel grouping, etc.), and each dimension has a number of entities (e.g. Cloud Campaign and Linkedin Campaign mediums; Referral and Partner channel groupings). Each entity has an aggregate value of the metric, and the entities are ranked against one another, even across dimensions. The top three entities across all five dimensions are called out as drivers. This analysis is looking at the change (increase or decrease) in the value of the metric from the previous period, as opposed to the absolute bookings for the selected period. Note that the dimensions used for driver analysis are configurable in Lexio.
e.g. - "Looking across the most relevant dimensions, the increase in the total pageviews relative to the week before was primarily driven by the (Other) channel grouping (33,922), the Cloud Campaign medium (33,879), and the Referral channel grouping (252)"