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How Contact Created Date Condition Works

Detection: This condition assesses when a user’s contact information was first created or registered in your system or database. It’s an important metric for understanding the longevity of your relationship with a user and can be automatically recorded at the moment a new user interacts with your chatbot, signs up through your website, or provides their contact information in any other way.

Setting Conditions: Based on the detected date of contact creation, you can set conditions within your chat flow to segment users or tailor conversations according to how long they have been in your contact list. These conditions use a variety of comparison rules to dynamically alter the chat experience based on the age of the contact record.

Rules of Contact Created Date Condition

  • “Is”: The user’s contact creation date exactly matches a specified date. This can be used for targeting or recognizing users on specific anniversaries or milestones.
  • “Is Not”: The contact creation date does not match the specified date, allowing for broad segmentation away from a particular date.
  • “Greater Than”: The contact was created after a specific date. This rule can help in identifying newer contacts for introductory offers or information.
  • “Less Than”: The contact was created before a specific date, useful for segmenting older, potentially more loyal users for exclusive rewards or updates.
  • “Greater Than or Equal To”: The contact was created on or after a certain date. This expands the “Greater Than” rule to include the exact day specified.
  • “Less Than or Equal To”: The contact was created on or before a specified date, broadening the scope to include users from the exact day mentioned.
  • “Interval”: The contact was created within a specific date range. This rule is excellent for targeting users based on specific periods of acquisition or seasonal promotions.
  • “Not Interval”: The contact was not created within the specified date range, allowing for exclusion of certain user groups from specific messaging or offers based on when they were added.

Implementation Example

A chatbot for an online learning platform can use the contact created date condition to send personalized messages to users. For example, for contacts “Less Than” 1 month old, the bot could provide introductory tips and support resources. For contacts “Greater Than or Equal To” 1 year, the bot might send anniversary messages with special offers or recognition for their loyalty.

Best Practices

  • Personalization: Leverage these conditions to personalize communication significantly, making users feel valued and enhancing engagement.
  • Segmentation: Use the creation date for segmentation in marketing campaigns, targeting users with content and offers that are more likely to resonate based on their lifecycle stage.
  • Feedback and Improvement: For older contacts, consider using conditions to solicit feedback on their experience or suggestions for improvement, fostering a sense of community and co-creation.
  • Compliance and Privacy: Always ensure that the use of contact information, including creation dates, complies with data protection and privacy laws applicable in your region and industry.