duo-copilot-dismiss-diagnostics

To analyze Duo Copilot dismiss rates, dissect dismissal patterns across reasons, trigger signals, account characteristics, and sales rep actions. This identifies key drivers of dismissals to provide actionable configuration recommendations.

A high Duo Copilot dismiss rate for specific signals often stems from mismatched targeting. Dismiss pattern analysis pinpoints root causes, revealing if signal quality, company targeting, or individual rep actions are driving unnecessary dismissals.

Fixing bad company dismissals in Duo Copilot analytics requires analyzing lead attributes and trigger signals. By identifying mismatches, such as a hiring surge signal incorrectly targeting small companies, you can adjust configurations to exclude unfitting accounts.

Yes, you can use diagnostics to optimize Duo Copilot configuration by analyzing sales representative actions and lead profiles. It provides specific, data-driven suggestions for configuration adjustments to improve dismiss rates and overall effectiveness.

Diagnosing Duo Copilot dismiss patterns requires analytics data on dismissals, dismissal reasons, trigger signals, company types, lead profiles, and rep performance. Gathering this data over a set period, like 30 days, enables comprehensive root cause identification.