Qualified surfaces website-level intent data
Signals uses AI to derive insights from granular online activity.
Qualified, the conversational sales and marketing platform co-founded by former Salesforce executives, has launched a new AI-based solution to derive intent data from online activity. Indicators like mouse movements, clicks, scroll depth and time on site are analyzed by the Signals AI Predictive Model to designate the “temperature” of the user, a measure of purchase intent which can fluctuate in real time.
In addition, Qualified is providing Signals for Salesforce, delivering these insights within a business’s Salesforce instance, and Signals Mobile and Slack Alerts to indicate when a user’s temperature climbs above (or dips below) a specified threshhold.
Why we care. Qualified is offering Signals as a tool for sales and revenue teams, saying “the website is no longer just for marketers.” It’s not hard to see, however, that marketers too can learn a lot from this data — for example, which website elements are most associated with high purchase intent. It’s another part of the attribution puzzle.