See where pipeline leaks. Watch how buyers move

Snapshot Funnel, Journey Sankey, Cohort Intelligence, leakage detection, stage velocity, and engagement-type flow on one context layer.

Module 01 · Snapshot Funnel

How is our funnel performing? TOFU to BOFU

How Is Our Funnel Performing?Live
FunnelFunnel TrendsAdditionProgressionLeakage
StageVolumeConv.Velocity
Anonymous Visitors412K
Known Visitors38K9.2%
Lead11.4K30.0%2.4d
MQL3,84033.7%4.1d
SAL1,92050.0%3.8d
Opp82042.7%11.2d
Closed Won18622.7%68d
Visitors
412K
Known
38K
Leads
11.4K
MQLs
3.8K
Opps
820

A unified funnel from anonymous visitor to closed-won, grouped TOFU (Lead → MQL), MOFU (SAL → SQL), and BOFU (Pipeline → Booking), with stage-to-stage conversion and velocity on each transition. Split By segment or Compare With a prior period. The single view that ends the 'whose funnel is right' debate between marketing and sales.

  • Five tabs: Funnel · Funnel Trends · Addition · Progression · Leakage
  • Stage-to-stage conversion and velocity per transition
  • TOFU / MOFU / BOFU grouping across six stages
  • Split By segment, Compare With a prior period
  • Pipeline value overlay on volume, animated funnel toggle
Module 02 · Journey Visualization

How buyers actually move

Journey Visualization · by engagement typeAnalysis: Progressed
WebinarContent DLPaid touchEventDemo req.SDR mtg.Pricing visitClosed WonClosed Lost
Top journeyVolumeWin rateAvg ACV
Webinar → Demo → Won18652%$84K
Content → SDR mtg → Won14238%$68K
Event → Demo → Won9861%$102K
Paid → Pricing → Lost34012%

The most visually distinctive screen in the product. A multi-colored Sankey flow of every buyer journey from first touch to closed-won. Set Analysis Type to Progressed or Created, then View Journeys By engagement type, campaign, or channel. The journey table lists each unique path with steps, average cycle time, and opportunity value, expandable to the intermediate touchpoints.

  • View Journeys By engagement type, campaign, or channel
  • Analysis Type: Progressed or Created
  • Top journeys with average steps and cycle time
  • Expandable paths reveal every intermediate touchpoint
  • Top touchpoints ranked by average touches per journey
  • AI Summary narrates the flow on demand
Module 03 · Cohort Intelligence

Cohort Intelligence, defended at the QBR

Cohort Intelligence · saved views5 active
Conversion WaterfallMQLs FY25 CohortFunnel Stage Conv.Stage to StageRevSure Default
StageEnteredConvertedRateDrop
FY25 Q4 MQL cohort2,840100%
→ SAL2,8401,42050.0%-1,420
→ Opportunity1,42068047.9%-740
→ Stage 368041060.3%-270
→ Stage 441028068.3%-130
→ Closed Won28014250.7%-138

Define a cohort, then watch it move down the funnel as a Conversion Waterfall, the board favorite. Five saved views sit on the same axes so RevOps, demand gen, and sales each open the cut they trust, against one source of truth.

  • Conversion Waterfall (the board favorite)
  • MQLs FY25 Cohort
  • Funnel Stage Conversion
  • Stage-to-Stage Conversion Metrics
  • Compare cohorts on the same axes
Module 04 · Leakage Detection

Funnel leakage, found before you ask

Leakage alerts · this week3 open
StageDropSegmentStatus
MQL → SAL-6.2ppEMEA Mid-mktOpen
SAL → Opp-4.1ppNA EnterpriseOpen
Demo → Stage 2-3.8ppNA SMBOpen
Visit → Lead-2.4ppAPACAck.
Open alerts
0
Avg time-to-flag
0.0 days
Suppressed
0

The Leakage tab watches every stage transition for anomalies and surfaces exactly where leads are dying before they become revenue. Root-cause hints break the drop down by segment and channel, so the QBR never opens with a surprise.

  • Bayesian anomaly detection per stage
  • Slack and email alerts within 48 hours
  • Root-cause hints by segment and channel
  • Suppress and acknowledge controls
Module 05 · Stage Velocity

Stage velocity, by stage and by segment

Stage velocity · days per stageQ2 vs Q1
Lead → MQL
4.1d
MQL → SAL
3.8d
SAL → Opp
11.2d
Stage 2 → 3
22d
Stage 3 → 4
31d
Stage 4 → Won
14d
Total cycle
0d
+9d vs Q1
Slowest stage
3 → 4
vs target
+0%
behind

How long deals sit at each stage, where the slowdown started, what changed.

  • Days-per-stage with QoQ overlay
  • Segment cuts (enterprise vs mid-market)
  • Target threshold per stage
  • Slowest-stage flag on the dashboard
Module 06 · Engagement Type Flow

Engagement type flow, by what people did

Engagement type → win rateLast 12 mo
Engagement typeVolumeWonWin rate
Webinar attended1,84022012%
Event scanned4108420%
Demo requested98018619%
Pricing page visit3,4201424%
Content download2,310984%
Paid ad click12,400680.5%

Group journeys by the action a buyer took. Find the engagement type that consistently precedes a close.

  • Engagement-type taxonomy out of the box
  • Win-rate per engagement path
  • Anonymous + known overlay
  • High-leverage path detection
Agents on this play

The team that ships this outcome

Each agent below reads this application's context, decides the next move, and ships it back into your live tools · proposed, approved, reversible.

Leakage Alert AgentPings the owner in Slack the moment a stage drop crosses the threshold.
Inactive Lead RevivalRevives the leads gone quiet for the dormancy window you set.
Net New ICP AccountsSurfaces accounts that fit the cohort that just leaked · routed to the right rep.
Account ResearchBuilds a brief on demand for every flagged account before the next play.
In production at Ncontracts

We watched the funnel for years through three tools. RevSure showed us the leak in week two. The conversion waterfall is now the screen the board opens before I do.

Jason Beddall
VP Demand Gen · Ncontracts

Time to find the leak
2 weeks
From kickoff to a flagged drop in MQL-to-SAL conversion in EMEA mid-market.
Cohorts saved
5 views
RevOps, demand gen, and sales each have their own saved view on the same data.
Ready when your stack is

Find the leak before the QBR does

Implementation included.