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.
Customer journey analytics tracks how buyers actually move through the funnel, which paths convert, where they stall, and where pipeline leaks. RevSure builds the journey from every touch on one identity-resolved context layer, so you watch real accounts move stage to stage instead of guessing from disconnected reports, and an agent flags the leak the moment a stage drop crosses your threshold.
How is our funnel performing? TOFU to BOFU
| Stage | Volume | Conv. | Velocity |
|---|---|---|---|
| Anonymous Visitors | 412K | — | — |
| Known Visitors | 38K | 9.2% | — |
| Lead | 11.4K | 30.0% | 2.4d |
| MQL | 3,840 | 33.7% | 4.1d |
| SAL | 1,920 | 50.0% | 3.8d |
| Opp | 820 | 42.7% | 11.2d |
| Closed Won | 186 | 22.7% | 68d |
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
How buyers actually move
| Top journey | Volume | Win rate | Avg ACV |
|---|---|---|---|
| Webinar → Demo → Won | 186 | 52% | $84K |
| Content → SDR mtg → Won | 142 | 38% | $68K |
| Event → Demo → Won | 98 | 61% | $102K |
| Paid → Pricing → Lost | 340 | 12% | — |
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
Cohort Intelligence, defended at the QBR
| Stage | Entered | Converted | Rate | Drop |
|---|---|---|---|---|
| FY25 Q4 MQL cohort | 2,840 | — | 100% | — |
| → SAL | 2,840 | 1,420 | 50.0% | -1,420 |
| → Opportunity | 1,420 | 680 | 47.9% | -740 |
| → Stage 3 | 680 | 410 | 60.3% | -270 |
| → Stage 4 | 410 | 280 | 68.3% | -130 |
| → Closed Won | 280 | 142 | 50.7% | -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
Funnel leakage, found before you ask
| Stage | Drop | Segment | Status |
|---|---|---|---|
| MQL → SAL | -6.2pp | EMEA Mid-mkt | Open |
| SAL → Opp | -4.1pp | NA Enterprise | Open |
| Demo → Stage 2 | -3.8pp | NA SMB | Open |
| Visit → Lead | -2.4pp | APAC | Ack. |
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
Stage velocity, by stage and by segment
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
Engagement type flow, by what people did
| Engagement type | Volume | Won | Win rate |
|---|---|---|---|
| Webinar attended | 1,840 | 220 | 12% |
| Event scanned | 410 | 84 | 20% |
| Demo requested | 980 | 186 | 19% |
| Pricing page visit | 3,420 | 142 | 4% |
| Content download | 2,310 | 98 | 4% |
| Paid ad click | 12,400 | 68 | 0.5% |
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
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.
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
The other applications
Marketing ROI
Demand Gen Effectiveness, MMX, Incrementality, Spend Reallocation, Board Dashboard.
ExplorePipeline Acceleration
Account, lead, and opportunity prioritization with Ask Reli built in.
ExplorePipeline Predictability
Eight-quarter projections, daily health score, forecast confidence.
ExploreAgents
Agents that act on the context · builder, MCP, Safe Autonomy.
ExploreQuestions, answered
What is customer journey analytics?
Customer journey analytics is the analysis of the full path buyers take across channels and stages, from first touch to closed deal, so teams can see which journeys convert and where prospects drop off. In B2B it works at the account and buying-group level, not just the individual.
How is a journey different from a funnel report?
A funnel report shows aggregate counts at each stage. Journey analytics shows the actual paths between stages, how buyers move, in what order, and how fast, so you can spot the specific transitions where pipeline leaks. RevSure renders both on the context layer.
How does RevSure detect funnel leakage?
It watches stage-to-stage conversion and velocity on the resolved journey and flags where accounts stall or drop. When a stage drop crosses the threshold you set, a leakage agent pings the owner so the leak is caught while it can still be fixed.
Find the leak before the QBR does
Implementation included.