Answer:
Based on configurable rules for factors like end user data and time spent on a web page, customers can automatically be invited to chat by following the rules like End User Data, Time Spent on a Web Page , Configurable Rules , Automation and Customization .
Step-by-step explanation:
This type of functionality is commonly found in customer support or engagement platforms. The system uses certain criteria or conditions to trigger invitations for a chat session. Some of the factors you mentioned include end user data and time spent on a web page.
Here's how it might work:
1. End User Data:
- Information about the end user, such as their browsing history, location, or previous interactions with the website, can be used to determine if they are a potential candidate for a chat invitation.
2. Time Spent on a Web Page:
- The duration a user spends on a particular web page can be a relevant factor. For example, if a user spends a certain amount of time on a page, it might indicate that they need assistance or have questions.
3. Configurable Rules:
- These rules can be set up and adjusted by administrators or system operators. They define the conditions under which a chat invitation should be triggered. For instance, if a user from a specific location spends more than a defined time on a product page without making a purchase, the system might automatically invite them to chat with a customer support representative.
4. Automation:
- The process is automated, reducing the need for manual intervention. Once the configured conditions are met, the system generates and sends an invitation to the customer.
5. Customization:
- The rules are configurable, meaning they can be tailored to fit the specific needs and goals of the business. This allows for flexibility and adaptation to changing circumstances.
Overall, this approach is aimed at improving customer engagement and providing timely assistance when users might need it, based on their behavior and characteristics. It's a proactive way to offer support and enhance the overall user experience.