The User Impact tab includes three line charts that track the issue's impact over a given timeframe: Annualized Revenue Loss, Revenue Loss, and Occurrences. These charts are similar to those found in Issue Trends, though the charts here are specific to the issue in question.
By default, these charts plot trends over the past 90 days, but you can adjust the timeframe to as little as one day or as much as a full year. Each point on the chart represents a Session Bucketing Interval, which may be an hour, day, or week depending on the overall timeframe. Hover over a bucketing interval to view the interval's data. Hovering may also reveal a dotted line that plots the previous period's data.
Annualized Revenue Loss
[issue-annualized-revenue-loss]
The Annualized Revenue Loss chart considers how many sessions and transactions were impacted by the issue in each session bucketing interval, compares this against your site's typical conversation rates, and estimates how much revenue you stand to lose if the issue goes unresolved for a whole year. The estimate will appear lower in bucketing intervals with infrequent occurrences, and higher in intervals with frequent occurrences. If the issue has consistently high ARL, it should be investigated as soon as possible.
Learn more about how Noibu calculates Annualized Revenue Loss.
Revenue Loss
[issue-revenue-loss]
The Revenue Loss chart considers how many sessions and transactions were impacted by the issue, compares this against your site's typical conversion rates, and calculates the exact amount of revenue loss at each session bucketing interval. While the Annualized Revenue Loss chart warns of potential revenue loss if the issue is left unresolved, the Revenue Loss chart displays the actual loss to date. If the issue has high revenue loss it should be investigated immediately, especially if there is consistent loss over multiple bucketing intervals.
Occurrences
[issue-occurrences]
The Occurrences chart displays the number of times the issue has occurred in each bucketing interval. Issues that occur frequently should be investigated before those that occur sporadically.
Learn more about other sections on the User Impact tab: Funnel Impact, Symptom Analysis, and Statistics.