Activity Forums Salesforce® Discussions What is the difference between Engagement Split & Decision Split in Salesforce?

  • What is the difference between Engagement Split & Decision Split in Salesforce?

    Posted by MOHIT on July 13, 2020 at 5:53 pm

    What is the difference between Engagement Split & Decision Split in Salesforce?

    Nancy replied 8 months, 3 weeks ago 4 Members · 3 Replies
  • 3 Replies
  • Ratnesh

    Member
    July 14, 2020 at 8:47 am

    Engagement Splits send customers down one of two branches depending on their interactions with an email.
    Decision Splits use data about customers to put them on the correct path through the journey. A decision split allows you to configure up to 20 paths using a contact's attributes as evaluation criteria.

  • Sridhar

    Member
    July 6, 2023 at 12:44 pm

    In Salesforce Marketing Cloud, both Engagement Splits and Decision Splits are decision-making components used in the Journey Builder tool. However, they serve different purposes and have distinct functionalities. Here's a breakdown of the differences between Engagement Splits and Decision Splits:
    Engagement Split:
    - Purpose: Engagement Splits are used to evaluate a subscriber's engagement with a specific element within a journey, typically an email or a landing page.
    - Evaluation Criteria: Engagement Splits typically evaluate specific engagement metrics, such as email opens, clicks, or landing page visits.
    - Real-time Evaluation: Engagement Splits evaluate engagement metrics in real-time as subscribers progress through the journey. It allows you to create different paths based on whether subscribers have engaged or not with the specified element.
    - Outcome: Engagement Splits typically have two outcomes: "Engaged" and "Not Engaged." Subscribers who meet the engagement criteria proceed down the "Engaged" path, while those who do not meet the criteria follow the "Not Engaged" path.
    - Example Use Case: You might use an Engagement Split to send a follow-up email to subscribers who opened a particular email within the journey, while sending a different email to those who did not open it.
    Decision Split:
    - Purpose: Decision Splits are used to evaluate subscriber data or attributes and make decisions based on the evaluation results. It allows you to route subscribers down different paths based on specific conditions.
    - Evaluation Criteria: Decision Splits evaluate data and attributes that you define. These can include subscriber profile data, data extensions, data from Salesforce CRM, or any other data source connected to Marketing Cloud.
    - Predefined Conditions: Decision Splits offer various predefined conditions and operators that you can use to evaluate data. For example, you can check if a subscriber belongs to a particular segment, has a specific attribute value, or meets any custom criteria you define.
    - Outcome: Decision Splits can have multiple outcomes, each associated with a specific condition or set of conditions. Subscribers follow the path associated with the condition they meet.
    - Example Use Case: You might use a Decision Split to segment subscribers based on their purchase history, demographics, or any other data available. For instance, you can route subscribers to different paths based on their geographic location or product preferences.
    In summary, Engagement Splits evaluate subscriber engagement with specific journey elements, while Decision Splits evaluate subscriber data or attributes to make decisions and route subscribers down different paths. Engagement Splits are typically focused on engagement metrics, while Decision Splits allow for more customized decision-making based on a wider range of data and conditions.

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  • Nancy

    Member
    November 6, 2023 at 1:29 pm

    In Salesforce Marketing Cloud, Engagement Splits assess email or SMS interaction, while Decision Splits offer more flexibility by evaluating diverse contact attributes and data. Use Engagement Splits for message-specific engagement tracking and Decision Splits for broader, data-driven decision-making within your customer journeys.

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