Sentiment Analysis provides a high-level evaluation of a contact’s response and engagement during an interaction with an AI assistant.
This feature enables businesses to gauge the contact’s receptiveness to the offer, interest in doing business, or enthusiasm toward booking a meeting.
By categorizing sentiments into Positive, Neutral, and Negative, users can refine follow-up strategies and prioritize contacts based on their responsiveness. Similarly, users can define custom workflows and automations with conditional logic based on these three sentiments, for higher touch, more tailored, lead nurture and customer satisfaction operations.
Let’s take a look at this in a bit more detail.
AVA
Sentiment Statuses:
Sentiment analysis assigns one of three statuses to each call:
Where to View Sentiments in AVA:
GHL
Extracting Sentiment Data:
Sentiment statuses can be accessed and utilized in GHL through the payload of:
Workflow Integration:
Businesses can leverage sentiment data to:
Please refer to Integration with GHL for a more detailed walkthrough of the available return values of these actions and triggers and how they can be used to inform additional automation logic.
What is the purpose of sentiment analysis?
Sentiment analysis helps businesses evaluate how contacts respond to interactions, providing insight into their level of interest or receptiveness to offers and calls.
What do the sentiment statuses mean?
Can I view sentiment data directly in GHL?
Sentiment data is available in GHL through the call payload for workflows using the Inbound Call Trigger or the Contact Called Trigger.
How can I use sentiment data in workflows?
Sentiment data can be used to:
For additional questions or guidance, try using our Virtual Support Agent! Available 24/7 to help resolve most issues quickly at thinkrr.ai/support.
If you still need assistance, visit our support site at help.thinkrr.ai and submit a Ticket or contact our team directly at hello@thinkrr.ai.
Sentiment Analysis provides a high-level evaluation of a contact’s response and engagement during an interaction with an AI assistant.
This feature enables businesses to gauge the contact’s receptiveness to the offer, interest in doing business, or enthusiasm toward booking a meeting.
By categorizing sentiments into Positive, Neutral, and Negative, users can refine follow-up strategies and prioritize contacts based on their responsiveness. Similarly, users can define custom workflows and automations with conditional logic based on these three sentiments, for higher touch, more tailored, lead nurture and customer satisfaction operations.
Let’s take a look at this in a bit more detail.
AVA
Sentiment Statuses:
Sentiment analysis assigns one of three statuses to each call:
Where to View Sentiments in AVA:
GHL
Extracting Sentiment Data:
Sentiment statuses can be accessed and utilized in GHL through the payload of:
Workflow Integration:
Businesses can leverage sentiment data to:
Please refer to Integration with GHL for a more detailed walkthrough of the available return values of these actions and triggers and how they can be used to inform additional automation logic.
What is the purpose of sentiment analysis?
Sentiment analysis helps businesses evaluate how contacts respond to interactions, providing insight into their level of interest or receptiveness to offers and calls.
What do the sentiment statuses mean?
Can I view sentiment data directly in GHL?
Sentiment data is available in GHL through the call payload for workflows using the Inbound Call Trigger or the Contact Called Trigger.
How can I use sentiment data in workflows?
Sentiment data can be used to:
For additional questions or guidance, try using our Virtual Support Agent! Available 24/7 to help resolve most issues quickly at thinkrr.ai/support.
If you still need assistance, visit our support site at help.thinkrr.ai and submit a Ticket or contact our team directly at hello@thinkrr.ai.