Metric & Root Cause Analysis

Infer can track, analyze, and monitor sales metrics over time and across customer segments, alerting sales leaders to changes in these metrics and uncovering the reasons behind each shift. This provides powerful real-time insights for understanding and optimizing their sales teams.

For example, Alice is a sales manager, and one of her most important KPIs is 'days to close,' which measures the average number of days it takes to close a deal. The shorter this period, the more deals her team can close, leading to increased revenue for the company. Therefore, this metric is crucial for evaluating her team's efficiency.

Deal IDDeal NameCompanyLocationAmountDays to close
14404408525Vargas PLC DealSims, Krause and MontoyaRhode Island10500142
14404793794Everett-Harvey DealWilkins GroupNew Jersey10700239
14404930505Anderson-Wilson DealRay-DillonKentucky1200561

With Infer, Alice can define, track, and monitor 'days to close' across her sales team. She can now observe how it changes over time, instantly understand the reasons behind any fluctuations, and receive alerts for critical changes as they occur. Thanks to Infer, she no longer has to wonder what caused a change in deal length. Instead, she can take decisive action based on Infer's insights to address issues and optimize her sales process.

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