Quantify Pipeline Strength, Predict Conversion Readiness, and Pinpoint Risk in Real Time

Track key performance indicators, pipeline value, win rate, average deal size, age, and active accounts, all in one view. Compare results week-over-week or quarter-over-quarter, toggle between Value and Volume, and filter by opportunity type (New Business, Renewal, Add-on). The Pipeline Metrics Table adds deeper quarter-level analysis with metrics like Pipeline Processed Till Date, Risk-Adjusted Value, Pulled/Pushed Pipeline, and AI-Estimated Closures.

The Health Radar gives B2B GTM leaders a visual, data-backed way to evaluate pipeline fitness. It benchmarks Value, Volume, Win Rate Till Date, Average Deal Size, Average Age, Sales Cycle Length, and Number of Accounts across quarters or years, revealing shifts in velocity, conversion efficiency, and deal quality. By comparing current and historical performance, CMOs and RevOps leaders can instantly gauge whether their pipeline is accelerating, stagnating, or signaling early conversion risk.

Estimate the likelihood of deal closure across every stage, channel, and opportunity type. RevSure analyzes historical conversion data, deal attributes, engagement patterns, and funnel velocity to forecast win probabilities in real time. By comparing predicted win rates against actuals, GTM and RevOps teams can detect emerging risks early, validate forecast assumptions, and prioritize deals most likely to convert. Segment-level insights highlight which sources, motions, or territories show improving or declining conversion efficiency.

Using likelihood analysis, the Top Factors Influencing Win Rate model measures how variables such as Lead Source, Opportunity Type, Acquisition Path, Attribution Source, Industry, and Deal Age influence overall win probability. Each factor’s effect is expressed as a relative percentage variance from historical averages, revealing which motions accelerate conversions and which require corrective action.

The Pipeline Composition Breakdown view enables GTM leaders to understand how the pipeline value and volume are distributed across sources, regions, and channels, and how each segment influences conversion efficiency. It offers table and bar chart views to compare Average Deal Size, Deal Age, Duration, Relative Win Rate, and Win Rate Influence %. Relative Win Rate quantifies the incremental lift or drag each segment contributes to total pipeline performance, helping leaders pinpoint where revenue efficiency is strongest.

The Pipeline Stage Breakdown and Pipeline Movements views give GTM teams an end-to-end understanding of opportunity progression and funnel efficiency. Stage Breakdown visualizes pipeline distribution across stages with comparisons by Value, Volume, Age, or Duration to benchmark performance across periods. The Movements view complements this with a dynamic waterfall visualization tracking Start (Walk-in), New, Pull, Closed Won/Lost, Push, and Current values.

Track open pipeline, cumulative closed-won/lost, and win rate over time, allowing users to zoom into specific timeframes to monitor booking pace and decay. The Pipeline Breakdown Trend visualizes weekly or monthly stage-wise distribution, with Value or Volume modes and a Stack 100% toggle to reveal shifts in funnel balance between early and late-stage opportunities. Finally, the Open Pipeline Trends by Quarter of Close view projects open pipeline across the next eight quarters, filterable by region, channel, or motion.