How Source Condition Works

Detection: The “Source” condition identifies how a user came into contact with your chatbot or platform. This could be through various channels such as a specific. Detecting the source is crucial for understanding user behavior and optimizing marketing strategies.

Setting Conditions: Once the source of a user’s contact is identified, you can set conditions within your chat flow or engagement strategies based on this information. The “is” and “is not” rules allow you to tailor interactions, content, and offers specifically to users from different sources, enhancing personalization and effectiveness.

Rules of Source Condition

• “Is” Rule: This rule applies when a user’s contact source matches a specified source. If the condition is met, the chat flow can proceed with content or actions that are tailored for users coming from that particular source. For example, if the source “is” a specific Facebook campaign, you can customize the conversation to reflect the messaging or offers from that campaign.
• “Is Not” Rule: Conversely, this rule is used when the user’s contact source does not match the specified source. This allows for excluding certain users from specific paths or offers in the chat flow based on their entry point. For instance, if the source “is not” an email campaign, the bot might offer a brief introduction to the company or product, assuming the user might be less familiar with them.

Best Practices

• Tailored Responses: Customize your chatbot responses and interactions based on the user’s source to increase relevance and engagement. This means aligning the conversation with the context or expectations set by the source medium.
• Tracking and Optimization: Use the insights gathered from different sources to continuously optimize your marketing strategies and chatbot interactions, ensuring that they are effectively contributing to your overall goals.
• Source Diversity Awareness: Be mindful of the diverse nature of sources and the different user expectations they bring. A user coming from a detailed blog post might expect different information or interaction compared to someone clicking through from a quick social media ad.
• Privacy and Transparency: Always ensure that your tracking and personalization strategies comply with privacy regulations and are transparent to users, maintaining trust and integrity in your user engagements.