Note: This release is in preview. Features described here don’t become generally available until the latest general availability date that Salesforce announces for this release. Before then, and where features are noted as beta, pilot, or developer preview, we can’t guarantee general availability within any particular time frame or at all. Make your purchase decisions only on the basis of generally available products and features.

Analyze Your Data Over Time

Use SAQL date functions for advanced time-based analysis.

You can use date filters in the dashboard for basic time-based analysis, for example to calculate month-to-date amounts. You can also use window functions in the dashboard for basic date range calculations, such as calculating the change in year-over-year earnings

Note

Example - on Which Weekday Do Customers Send the Most Emails?

Suppose that you want to see which day of the week your customers are most active on email. This information allows you to better target your email campaigns. Use day_in_week() on the Mail_sent_sec_epoch field to calculate the day of the week, then count the number of records for each day.

1q = load "DTC_Opportunity_SAMPLE";
2q = foreach q generate day_in_week(toDate(’Mail_sent_sec_epoch’)) as 'Day in Week';
3q = group q by 'Day in Week';
4q = foreach q generate 'Day in Week', count() as 'count';

In this case, email traffic is slightly higher on day 4 (Wednesday) and day 7 (Sunday).

Derived dimension shows time to win

Analytics SAQL Developer Guide

Analyze Your Data Over Time

Example - on Which Weekday Do Customers Send the Most Emails?

See Also