Through the use of AI and Natural Language Process (NLP), Sales Inbox is able to determine if responses to your sequences portray positive, negative, or unknown buyer sentiment and feeling.
As responses come in they are moved in to a group that best fits the type of response. The three (3) main categories for this are:
Interested - positive sentiment found in reply
Needs Review - human eyes are needed to determine interest
Not Interested - negative sentiment found in the reply
Positive responses as decided by the AI will appear under the Interested category. These are people who's responses to emails in sequences are considered good and generally more favorable to the sales rep.
Responses that appear positive will have a green 'thumbs-up' icon associated with it when viewed in Sales Inbox
Negative responses as decided by the AI will appear under the Not Interested category. These are people who's responses to emails in sequences are considered negative and generally less favorable to the sales rep.
Responses that appear negative will have a red 'thumbs-down' icon associated with it when viewed in Sales Inbox
Needs review responses are the responses that require a more human touch to identify. While AI and NLP can do a lot, sometimes things fall through the cracks and a pair of human eyes is needed to determine if the response is positive or negative.
Note - As users move responses to either Positive or Negative, Machine Learning (ML) built in to the system collects the changes and makes adjustments to its algorithm for what's considere positive or negative.