Is your rebills count up or down? How is it impacting your revenue?

Is it common? Is it rare?

Density charts help you to see beyond simple averages to know if you need to take action. Decision-makers within companies have to focus on what matters. A simple average can't tell you when something is unusually good or bad. The density chart tells you how often something happens.

(density charts to detect trends) A density chart is the distribution of data over a continuous interval or time period.

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The Terms

Yesterday's Rebills Count

Total rebills count for yesterday.

% Rebills Count Change

The change in yesterday's rebills from the average of the last 4 weeks same day as yesterday rebills as a percentage.

Impact on Revenue

The impact change in rebills count has on total revenue.

The Math

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Yesterday's Rebills Count

The total rebills generated yesterday.

% Rebills Count Change

If yesterday was "Sunday", then yesterday rebills are compared with the average of the previous 4 "Sunday's rebills and represented as a percentage.

Impact on Revenue

Calculated by finding the regression coefficient for rebills using linear regression multiplied with the change in rebills (Eg-The difference between Sunday's rebills & the previous 4 Sunday's rebills multiplied with the regression coefficient), represented as a US dollar amount.

The Visuals

X axis (or horizontal axis)

Daily rebills count

Y axis (or vertical axis)

How often the daily rebills count occurred during the period. This is also known as frequency.

Blue Curved Line

Each daily rebills count during the period shown on a smoothed line.

Blue Vertical Line

Yesterday's rebills count.

The Updates

This report, like most others, updates once per day at 8 a.m. CET / GMT+2.

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The Filters

Default is 30 days like almost all reports