KPI Tree

Attio Metric

CRM

Deal Conversion Rate = (Closed-Won Deals / Total Deals Created) x 100

Deal conversion rate measures the percentage of deals created in Attio that ultimately close as won. It is the broadest measure of pipeline effectiveness, capturing the combined impact of deal qualification, sales execution, competitive positioning, and pricing across the entire sales process.

Deal Conversion Rate

Deal conversion rate measures the percentage of deals created in Attio that ultimately close as won. It is the broadest measure of pipeline effectiveness, capturing the combined impact of deal qualification, sales execution, competitive positioning, and pricing across the entire sales process.

How to calculate deal conversion rate

Deal Conversion Rate = (Closed-Won Deals / Total Deals Created) x 100

Why deal conversion rate matters for Attio users

Deal conversion rate is the single most important metric for evaluating whether the pipeline is producing revenue or just creating administrative overhead. A CRM full of deals that never close consumes rep time, distorts forecasts, and masks the true state of the business. Low conversion rates indicate systemic issues - either deals are being created too early in the buying process, or the sales process is failing to advance them to close.

Segmenting conversion rate by deal source, size, segment, and rep reveals where the process works and where it breaks down. A rep with high activity but low conversion needs different coaching than a rep with low activity but high conversion. These patterns are only visible when conversion rate is tracked consistently with full dimensional breakdowns.

Understand and act on deal conversion rate with KPI Tree

Land Attio deal records with outcome data in your warehouse through ETL. KPI Tree calculates conversion rates from created to closed-won, segmented by any deal attribute: source, size, owner, company segment, or time period.

Position deal conversion rate as a core output metric in your metric tree. Assign ownership to sales managers, set alerts for conversion rate changes that could indicate market shifts or process problems, and run cohort analysis to track whether deals created in recent periods are converting at better or worse rates than historical norms.

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Data Warehouse
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