Know how ready your pipeline is. Not just how big
Every open deal carries a signal. RevSure scores pipeline strength, predicts what will close, and flags risk early, so GTM teams can act with confidence this quarter and the next eight.
Predictive pipeline health measures how likely your open pipeline is to convert, not only how much of it exists. RevSure combines descriptive, diagnostic, and predictive analytics on one identity-resolved context layer: it tracks real-time pipeline metrics, explains which factors drive win rate, and uses AI to project the closure likelihood of every opportunity.
What is predictive pipeline health?
A single framework that scores readiness, explains the drivers, and projects what will close.
- 01
Score the open pipeline
Track pipeline value, win rate, deal size, age, and active accounts in one view, then compare week-over-week or quarter-over-quarter.
- 02
Explain what moves win rate
Measure each source, industry, and motion as a variance from your historical average, so drivers are evidence, not anecdote.
- 03
Predict what will close
Estimate win probability by stage, channel, and opportunity type, then hold every forecast against the actuals.
- 04
Look eight quarters out
Project open pipeline by quarter of close so coverage, mix, and risk are visible while there is still time to act.
Coverage says yes. The quarter says no
Pipeline reviews measure the size of the pipe and discover its quality after the quarter closes. Four gaps Pipeline Health closes.
Coverage without readiness
Three times coverage tells you how much pipeline exists. It says nothing about how much of it is ready to convert.
Win rates in the rearview
Actual win rate arrives when the quarter ends. By then, the deals that were slipping have already been pushed.
Drivers by anecdote
Which sources, industries, and motions move win rate gets argued in the QBR instead of measured against history.
Slippage shows up late
Pulled and pushed pipeline surface in the recap deck, long after anyone could have acted on them.
Every pipeline vital. One view
Track the key performance indicators in one place: pipeline value, win rate, average deal size, age, and active accounts. Compare results week-over-week or quarter-over-quarter, switch between Value and Volume, and filter by opportunity type.
- New Business, Renewal, and Add-on filters on every metric
- Pipeline Metrics Table for quarter-level analysis
- Pipeline Processed Till Date and Risk-Adjusted Value
- Pulled and pushed pipeline, plus AI-Estimated Closures
Pipeline Metrics Table, this quarter against next. Illustrative data.
Is the pipeline accelerating, or stalling?
The Health Radar gives B2B GTM leaders a visual, data-backed read on pipeline fitness. It benchmarks seven vitals across quarters or years, so CMOs and RevOps leaders can see at a glance whether the pipeline is accelerating, stagnating, or signaling early conversion risk.
- Value, Volume, Win Rate Till Date, and Average Deal Size
- Average Age, Sales Cycle Length, and Number of Accounts
- Current against historical, by quarter or by year
- Shifts in velocity, conversion efficiency, and deal quality
Shifts vs last quarter
Health Radar, this quarter against last quarter across seven vitals. Illustrative data.
Forecast the win rate before the quarter closes
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 probability in real time, then holds each prediction against the actuals.
- Predicted against actual win rate, tracked continuously
- Early risk detection before deals slip out of quarter
- Forecast assumptions validated with data, not gut feel
- Segment views of improving or declining conversion by source, motion, or territory
Predicted win rate with confidence band, held against actuals. Illustrative data.
Measure what moves the win rate
The Top Factors Influencing Win Rate model uses likelihood analysis to measure how each variable changes win probability. Every factor is expressed as a relative percentage variance from the historical average, so you can see which motions accelerate conversion and which need corrective action.
- Lead Source, Opportunity Type, and Acquisition Path
- Attribution Source, Industry, and Deal Age
- Positive and negative influence ranked side by side
- Variance against your own history, not an industry benchmark
Top factors influencing win rate, as variance from the historical average. Illustrative data.
Find where revenue efficiency actually lives
See how pipeline value and volume are distributed across sources, regions, and channels, and how each segment changes conversion efficiency. Relative Win Rate quantifies the incremental lift or drag each segment contributes to total pipeline performance.
- Table and bar chart views of every segment
- Average Deal Size, Deal Age, and Duration per segment
- Relative Win Rate and Win Rate Influence %
- Segment by source, region, or channel
Pipeline Composition Breakdown with Win Rate Influence per segment. Illustrative data.
Walk-in to current. Every dollar accounted for
Pipeline Stage Breakdown and Pipeline Movements give GTM teams an end-to-end view of how opportunities progress. Stage Breakdown shows the distribution across stages by Value, Volume, Age, or Duration. Movements tracks the quarter as a waterfall, from walk-in pipeline to where it stands today.
- Start (Walk-in), New, Pull, Closed Won, Closed Lost, Push, and Current
- Stage distribution by Value, Volume, Age, or Duration
- Period-over-period stage benchmarks
- Pulled and pushed pipeline visible while there is still time to act
Pipeline Movements waterfall, walk-in to current. Illustrative data.
See eight quarters ahead
Track open pipeline, cumulative closed won and lost, and win rate over time, and zoom into any window to monitor booking pace and decay. Open Pipeline Trends by Quarter of Close projects the open pipeline across the next eight quarters, filterable by region, channel, or motion.
- Weekly or monthly Pipeline Breakdown Trend by stage
- Stack 100% toggle to spot early versus late-stage imbalance
- Value or Volume modes on every trend
- Eight-quarter view by region, channel, or motion
Open Pipeline Trends by Quarter of Close, eight quarters ahead. Illustrative data.
Why RevSure for pipeline health
Readiness, not just volume
Pipeline Health quantifies how ready the pipeline is to convert, so coverage stops being the only number in the room.
Predictions held to actuals
Every predicted win rate is tracked against what closed, so the forecast earns trust quarter after quarter.
One source of truth
Marketing, sales, and RevOps read the same pipeline on the same context layer, from walk-in to closed.
Questions, answered
What is predictive pipeline health?
Predictive pipeline health measures how likely your open pipeline is to convert, not only how much of it exists. RevSure combines descriptive, diagnostic, and predictive analytics in one framework that tracks real-time pipeline metrics, explains what drives win rate, and uses AI to project the closure likelihood of every opportunity.
How is pipeline health different from pipeline coverage?
Pipeline coverage compares the size of the pipeline to the target. Pipeline health adds readiness: predicted win rate, deal age, sales cycle length, risk-adjusted value, and pulled or pushed pipeline, so you can see how much of the coverage is likely to close.
How does RevSure predict win rates?
RevSure analyzes historical conversion data, deal attributes, engagement patterns, and funnel velocity to estimate the probability that each deal closes, across every stage, channel, and opportunity type. Predicted win rates are tracked against actuals so teams can validate forecast assumptions and catch risk early.
What factors influence B2B win rate?
RevSure's Top Factors Influencing Win Rate model measures variables such as lead source, opportunity type, acquisition path, attribution source, industry, and deal age. Each factor's effect is shown as a percentage variance from your historical average, revealing which motions accelerate conversion and which need corrective action.
What is risk-adjusted pipeline value?
Risk-adjusted value weights open pipeline by each opportunity's predicted probability of closing. It gives a more realistic view of what the current pipeline is likely to deliver than raw pipeline value.
What do pulled and pushed pipeline mean?
Pulled pipeline is opportunity value whose close date moved into the current period. Pushed pipeline is value whose close date moved out to a later period. RevSure's Pipeline Movements waterfall tracks both alongside walk-in, new, closed won, and closed lost pipeline.
Stop inspecting the pipeline. Get ahead of it
Pipeline Health turns pipeline visibility from a reactive inspection into a proactive, AI-driven discipline, so every GTM team can grow with confidence and consistency.