Visits

See how many shoppers have visited the payment page so far this month, quarter and year (dark blue)

Easily compare with the past (the grey line).

Check out your future with forecasts that update daily (light blue line).

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The Terms


This Month’s Visits

Number of visitors to the payment page during the month (calendar day Central European Time GMT+2)

This Quarter's Visits

Number of visitors to the payment page during the quarter (calendar day Central European Time GMT+2)

This Year's Visits

Number of visitors to the payment page during the year (calendar day Central European Time GMT+2)

The Math


This Month’s Visits

The sum of all visitors during the current month.

This Quarter's Visits

The sum of all visitors during the current quarter.

This Year's Visits

The sum of all visitors during the current year.

Forecasts

Forecasts use artificial intelligence to predict your future performance. It analyzes patterns from historical data and updates the forecast to take into account any changes in your business. Forecasts are calculated using an AI model (decision-tree), based on historical data (hour, day, day of week, month, etc.). This is an advanced model that takes uncommon scenarios into account.

The Visuals


The X axis (or horizontal axis)

Month

Calendar Day

Quarter

Calendar Day

Year

Week

The Y axis (or vertical axis)

Count of visitors to the payment page

Dark Blue Line

This line shows real progress over time. It is actual data.

Light Blue Line

This line shows the current forecast. This is updated daily based on all of your historical data.

Dark Grey Line

The grey line represents the average of a previous period for comparison.

Month

Average visits per day for the last 3 months

Quarter

Average visits per day for the last 2 years

Year

Average visits per week for the last 2 years

The Updates


Visits are updated once per day at 8 a.m. CET (GMT+2) for the previous day.

The Filters


The default setting for the Selection is the last 30 days. The default setting for the comparison is the previous days 31 to 60.

When comparing data ranges it is good to use the same amount of days in the selection and comparison.