Journey filters and split shapes

Overview

Journey filters help users manage how and when contacts progress through a step. Filters can be set so contacts either wait until they meet specific criteria or for a set time (like 3 days) to check if they qualify. Split shapes allow users to divide their journey into different paths based on percentages.

Accessing Journey filters

To access Journey filters, go to Marketing > Campaigns > Select your Journey > Edit > + > Filter.


Journey filters

Journey filters help you control how and when contacts move through a step.

EX: You can wait 3 days to see if someone opens an email. If they do, they’ll move to the next step right away. If not, after 3 days, they’ll proceed to the next shape, giving you the opportunity to resend the email or take another action.

Choose how contacts move forward

  1. When they match the filter: Contacts will proceed once they meet your criteria.
  2. After a set time: Contacts will continue either after a specified wait or once they match the filter.

NOTE: By setting a timeframe for contacts to proceed through a filter, you can prevent them from being removed from the journey due to inactivity. This ensures they don’t exit the journey simply because they haven't taken action within a certain period. (i.e. they meet the They don’t move for X days criteria for the journey’s People exit when condition).

Example of waiting for an activity to occur or waiting 3 days before they proceed.

Filters with x activity occurs criteria can be set to match attributes with the entry criteria.

Learn more about matching activity attributes in shapes.


Using split shapes

You can split your journey into paths based on percentages, determining how many contacts take the left or right routes.

The split is based on probability rather than a strict turn order.

EX: If you set a 50/50 split, each contact has a 50% chance of going down either path, regardless of previous contacts.

In the early stages, the actual distribution may not match the set percentages perfectly. However, as more contacts move through, the results will trend closer to the expected probabilities.