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 ID	Deal Name	Company	Location	Amount	Days to close
14404408525	Vargas PLC Deal	Sims, Krause and Montoya	Rhode Island	10500	142
14404793794	Everett-Harvey Deal	Wilkins Group	New Jersey	10700	239
14404930505	Anderson-Wilson Deal	Ray-Dillon	Kentucky	1200	561
14404409296	Robinson-Ross Deal	Robinson-Ross	South Dakota	12300	89

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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