AttioCRMPipeline Health Score
Pipeline health score is a composite metric that evaluates the overall quality and reliability of the sales pipeline in Attio. It combines deal age distribution, stage balance, activity recency, deal progression velocity, and coverage ratios into a single score that indicates whether the pipeline is likely to convert as expected.
Attio metric
Pipeline health score is a composite metric that evaluates the overall quality and reliability of the sales pipeline in Attio. It combines deal age distribution, stage balance, activity recency, deal progression velocity, and coverage ratios into a single score that indicates whether the pipeline is likely to convert as expected.
Full guide: definition, formula, and benchmarksWhy Pipeline Health Score matters for Attio users
Pipeline value alone is a dangerously misleading metric. A pipeline worth ten million in total value could be healthy (well-distributed across stages, recently active, progressing normally) or unhealthy (concentrated in early stages, stale, with deals that have not been updated in weeks). Pipeline health score distinguishes between genuine pipeline and inflated pipeline that is unlikely to convert.
Health scores create proactive pipeline management discipline. Instead of waiting for forecast misses to reveal pipeline problems, teams can monitor health scores continuously and intervene when scores decline. This shifts pipeline management from reactive quarterly reviews to continuous real-time monitoring, catching problems weeks before they impact revenue.
Driver
Conversion rate
Outcome · 58% contribution
Revenue
Understand and act on Pipeline Health Score with KPI Tree
Land Attio deal records with stage history, activity logs, and value data in your warehouse. KPI Tree calculates health scores by weighing deal age, activity recency, stage balance, and progression velocity against historical benchmarks.
Add pipeline health score as a strategic health metric at the top of your metric tree, with its component metrics as child nodes. Assign ownership to the VP of Sales, set alerts for health score drops, and track scores period-over-period to verify that pipeline management practices are maintaining quality alongside volume.
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MCPPull metrics from Attio directly through the Model Context Protocol.
Connect your existing warehouse where Attio data already lands.
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Related Attio metrics Ready to add to your trees.
Deal Age Distribution
CRMDeal age distribution analyses the spread of open deals in Attio by their age (days since creation or days in current stage). It categorises deals into age buckets and compares the distribution against historical close patterns to identify deals that have exceeded normal timelines and may be stale or at risk.
View metricPipeline Coverage Ratio
CRMPipeline Coverage Ratio = Total Open Pipeline Value / Revenue Target
Pipeline coverage ratio measures the total value of open pipeline in Attio divided by the revenue target for a given period. It indicates whether sufficient pipeline exists to achieve the target, accounting for historical win rates and the time remaining to close deals.
View metricDeal Stage Conversion Analysis
CRMDeal stage conversion analysis measures the percentage of deals that successfully advance from one pipeline stage to the next in Attio. It calculates stage-to-stage conversion rates, time-in-stage, and identifies the specific transitions where deals most frequently stall or drop out.
View metricForecast Accuracy
CRMForecast Accuracy = (1 - |Forecasted Revenue - Actual Revenue| / Actual Revenue) x 100
Forecast accuracy measures the percentage deviation between forecasted revenue (based on Attio pipeline data and probability-weighted projections) and actual closed revenue for a given period. It evaluates the reliability of the sales forecasting process and identifies systematic biases like chronic over-forecasting or under-forecasting.
View metricExplore Pipeline Health Score across integrations
All Attio metrics
Activity Volume TrendsCompany Segmentation AnalysisContact Engagement ScoreContact Lifecycle AnalysisContact-to-Deal Conversion RateCustomer Acquisition CostDeal Age DistributionDeal Conversion RateDeal Loss AnalysisDeal Size Trend AnalysisDeal Stage Conversion AnalysisDeal Velocity AnalysisForecast AccuracyLead Response TimeLead Source AttributionList Performance AnalysisPipeline Coverage RatioSales Pipeline VelocityRevenue Attribution by SourceSales Cycle LengthSales Rep Performance AnalysisTask Completion RateWin Rate by Deal SizeWorkspace Utilisation AnalysisPipeline VelocityEmpower your team to understand and act on Attio data
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