40 days in. $8.4M booked. Is that ahead or behind?
Most teams answer from intuition. Rev Intel answers from facts.
Stop speculating about whether the quarter is on track.
Know where the quarter stands
Every current-quarter number is compared to the same day in prior quarters — not to where those quarters finished. Day 40 against day 40.
Win rates you can defend
Benchmarks are measured from your own closed history — stage conversion comes from what actually converted on this team, in this segment.
Coach the behaviors that win
See what separates won deals from lost ones on this specific team — activities, meetings, contacts, close-date pushes — and coach to the gap.
Your data. Your history. Your benchmarks.
Rev Intel analyzes every opportunity your org has already closed — sliced by team, territory, segment, and fiscal quarter — and turns that history into metrics and benchmarks that expose your trends and measure the current pipeline against them. Always apples to apples: day 40 is compared to previous day 40s, never to where those quarters happened to finish.
$8.4M won to date vs. a $7.3M same-day median across the last 8 quarters
Measured, not asserted.
Nothing here is a guess or an industry average. Every number is recomputed nightly from deals your org actually closed.
- Win probability — from measured stage reach-through rates, not the Probability field
- Cycle and deal size — medians from your closed history, per team and per segment
- Funnel conversion — observed stage-to-stage rates, plus median and 75th-percentile time in stage
- Behavior gaps — what won deals did differently from lost ones, on this team
- Scoped to the team — every metric recomputes as you drill from org to region to rep — the benchmark follows whoever you're actually looking at
- Split by segment — Enterprise measured against Enterprise, SMB against SMB — one win rate spanning both describes neither
The same intelligence, at every level of the org.
Win rates, cycle times, deal size, velocity, funnel conversion, pipeline flow, and won-versus-lost behavior — computed for the whole company, for every team and territory beneath it, and for every market segment inside those. Every number opens the deals behind it.
| Segment | Won $ | Win rate | Cycle | Median deal |
|---|---|---|---|---|
| Total (All Deals) | $6.8M | 52% | 187d | $8.8K |
| Enterprise | $2.8M | 44% | 231d | $46.4K |
| Mid-Market | $2.2M | 55% | 142d | $16.7K |
| SMB | $1.1M | 61% | 62d | $3.4K |
| Renewal | $0.7M | 77% | 38d | $8.0K |
Green / red = better or worse than the Total row
| Behavior | Won | Lost | Gap |
|---|---|---|---|
| Activities / week | 0.4 | 0.3 | +33% |
| Meetings / week | 0.9 | 0.9 | ≈ even |
| Contacts / deal | 2.0 | 1.6 | +25% |
| Close-date pushes / deal | 1.4 | 2.2 | −36% |
| Deals that pushed | 57% | 73% | −16 pts |
| Median cycle | 187d | 96d | +95% |
Green = the gap runs in the direction that correlates with winning
Three moments in the quarter.
You open Quarterly Progress. Day 40, pacing 1.15× — ahead of where this team normally is by now. Not a hunch, a measurement. You know which teams are carrying the quarter and which need you, before the week starts.
The team pulls up the pipeline and reviews the deals together. They see what's at risk and what's on track from RevWorks Deal Health — assessments generated from Rev Intel's measured benchmarks for this team: cycle, contact depth, push behavior. Rev Intel isn't on the screen during the call. It's underneath it.
Quarterly Trends across the last six quarters. Cycle time has been climbing for three of them. You bring the trend, the segment split, and the backtest that says the projection model has been within 4% — so the number in the deck holds up.
Finally, answers and insights. Not unanswered questions.
These get asked every quarter. Answering them the old way means exports, pivot tables, and a week of somebody's time — and by then the quarter has moved on. Here, every answer is scoped to the team, segment, and period you've selected, and drillable straight to the deals underneath.
“Are we ahead or behind for this point in the quarter?”
Live won-to-date against the same-day median of prior quarters — with a projected finish.
“Which teams are carrying the quarter, and which need me?”
Every team under the one you're viewing, ranked and heat-shaded against the parent.
“Why is this team's win rate below the org's?”
Deltas against the parent and the org total, then drill into that team's funnel and cycle.
“Where in the funnel are we actually losing deals?”
Stage-to-stage conversion across both ladders — sales stages and forecast categories.
“How long do deals really sit in each stage?”
Median and 75th-percentile time in stage, measured from deals that moved.
“What do our won deals do that our lost deals don't?”
Activities, meetings, contacts per deal, and close-date pushes — won against lost, side by side.
“Is our sales cycle getting longer?”
Any benchmark charted across up to 16 quarters, with low-sample quarters flagged.
“Are we creating enough pipeline to cover the quarter?”
Created against won and lost, week by week, with net flow and where the pipeline came from.
“Does Enterprise really convert better than SMB?”
Every metric computed per segment and heat-shaded against the Total row.
Benchmarks that the rest of the platform uses.
Rev Intel measures what normal looks like. Pipeline is where you work the deals that aren't. Forecasting is where the number gets committed — now with measured conversion behind it instead of a probability field. Ask Oonu a follow-up question about anything Rev Intel surfaces.
Rev Intel is included in both RevWorks Basic and RevWorks AI. It runs entirely inside Salesforce — no data leaves your org.
See Rev Intel on your own numbers.
Your history, measured. Your quarter, compared to the same day of every quarter before it.
