Is it today's result 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.

The Terms

Yesterday's Conversion Rate

The number of purchases divided by the number of shoppers for yesterday.

% Conversion Rate Change

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

Impact on Revenue

The impact change in conversion rate has on total revenue.

The Math

Yesterday's Conversion Rate

Total sales by count divided by total visitors to the payment page for yesterday.

% Conversion Rate Change

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

Impact on Revenue

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

The Visuals

X axis (or horizontal axis)

Conversion rate

Y axis (or vertical axis)

How often a particular conversion rate occurred during the period. This is also known as frequency.

Blue Curved Line

The frequency of each conversion rate during the period shown on a smoothed line.

Blue Vertical Line

Yesterday's conversion rate.

The Updates

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

The Filters

Default is 30 days like almost all reports