Difference between revisions of "Calendar Based Data Policies"
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===Calendar | ===Calendar Based Data Policies=== | ||
Calendar based data policy actions are triggered on a schedule, defined by the following parameters: | Calendar based data policy actions are triggered on a schedule, defined by the following parameters: | ||
* Start Date and Time | :* Start Date and Time | ||
* Non Repeating or Repeating (Daily, Weekly, Monthly, Yearly) | :* Non Repeating or Repeating (Daily, Weekly, Monthly, Yearly) | ||
* End Date or Never-ending | :* End Date or Never-ending | ||
{{Tip|A job will start at the time you specify. But the time it takes to complete depends on the system load, so it's a good idea to schedule actions well in advance, to ensure that it completes at the desired time.}} | {{Tip|A job will start at the time you specify. But the time it takes to complete depends on the system load, so it's a good idea to schedule actions well in advance, to ensure that it completes at the desired time.}} | ||
====Examples==== | |||
:*[[Drip Campaigns]] use Calendar-based data policies. These policies detect values and conditions of the data fields and based on them, execute a combination of actions including: sending an email, assigning a task, updating the record content, delivering a Send Outbound message to an external system, or running Java code. | |||
:*In a front-desk reservation system, set the criteria to verify that the check-in date must be in the future (after Today) and that the check-out date follows the check-in date | |||
:*In a doggy daycare system, check that the pet owner's account has enough pre-paid credits for that week's care | |||
''Learn more:'' | |||
:* [[Create_a_Data_Policy#Build_a_Calendar_Based_Data_Policy|Build a Calendar Based Data Policy]] | |||
:* [[Create_a_Data_Policy#Add_Actions_to_a_Data_Policy|Add Actions to a Data Policy]] | |||
''Learn more:'' [[Create_a_Data_Policy#Build_a_Calendar_Based_Data_Policy|Build a Calendar Based Data Policy]] | |||
Latest revision as of 21:58, 17 June 2011
Calendar Based Data Policies
Calendar based data policy actions are triggered on a schedule, defined by the following parameters:
- Start Date and Time
- Non Repeating or Repeating (Daily, Weekly, Monthly, Yearly)
- End Date or Never-ending
Tip: A job will start at the time you specify. But the time it takes to complete depends on the system load, so it's a good idea to schedule actions well in advance, to ensure that it completes at the desired time.
Examples
- Drip Campaigns use Calendar-based data policies. These policies detect values and conditions of the data fields and based on them, execute a combination of actions including: sending an email, assigning a task, updating the record content, delivering a Send Outbound message to an external system, or running Java code.
- In a front-desk reservation system, set the criteria to verify that the check-in date must be in the future (after Today) and that the check-out date follows the check-in date
- In a doggy daycare system, check that the pet owner's account has enough pre-paid credits for that week's care
Learn more: