Sales analytics defined
Sales analytics is the systematic collection, analysis, and visualization of sales data to inform decisions across the revenue organization.
It spans pipeline metrics, deal velocity, win rate, rep performance, customer health, and revenue trends.
Sales analytics vs sales reporting
Reporting tells you what happened. Analytics tells you why and what to do next.
Reporting is descriptive. Analytics adds diagnostic, predictive, and prescriptive layers.
Mature sales analytics teams operate at all four levels.
The five categories of sales analytics
Pipeline analytics. Coverage, velocity, aging.
Productivity analytics. Activity, ramp time, attainment.
Forecast analytics. Accuracy, commit/upside conversion.
Customer analytics. NRR, gross retention, churn risk.
Win/loss analytics. Win rate by segment, source, competitor.
Who owns sales analytics?
In growth-stage companies, RevOps owns it.
In larger companies, a dedicated sales analytics team within RevOps.
BI teams support the cross-functional analytics layer.
Frequently asked questions
What is sales analytics?
The systematic use of data to improve every part of the revenue cycle: pipeline, forecasting, productivity, customer retention, and win rate.
How is sales analytics different from sales reporting?
Reporting tells you what happened. Analytics tells you why and what to do next, including predictive and prescriptive insights.
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