By: Stormly

Forecasting

The future can be forecasted with ease. Easily make predictions about the total number of events, conversion rate, retention and more by forecasting the coming days, weeks, months or event hours. Uncover seasonality - the best day of the week or best day of the month and more - to see how your general trend is developing.

1) Forecast the total number of events, conversion rate, retention and more. Easily input data like daily or weekly conversion rates to forecast future days, weeks, months or event hours. Uncover seasonality by finding out the best day of the week as well as the best day of the month for your business.

2) See how general trends are developing and uncover opportunities in your business with these insights!

Conversion Rate
Easily forecast conversion rate based on a funnel of steps to complete - Forecast conversion for the coming days, weeks, months or event hours - Uncover seasonality in conversion — the best day of the week, day of the month and more - See how the conversion trend is developing
New Users
Forecast the number of new users.
Active Users
Forecast the number of active users.
Total Events By Event Date
Easily forecast the total number of events completed - Forecast for the coming days, weeks, months or event hours - Uncover seasonality in number of events — the best day of the week, day of the month and more - See how the general trend is developing
Total Of Event Attribute By Event Date
Easily forecast the total value of some events, based on a numerical property like price of items bought - Forecast total value for the coming days, weeks, months or event hours - Uncover seasonality in total value — the best day of the week, day of the month and more - See how the total value trend is developing
User Calculations By User Cohort Dates
Forecast the totals and average for the number of users, their events and other user properties. Using user cohort dates, such as user first seen.
Event Calculations By Event Date
Calculate the totals and average for the number of events and their properties. Using the date of when the event occurred.
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