Know which channel funds pipeline
Multi-touch attribution, marketing mix modeling, incrementality testing, and spend reallocation on one identity-resolved context layer. The CMO walks into the QBR with a defensible recommendation.
How effective is demand gen? One screen
| Channel | Spend | MQLs | Pipeline | Bookings |
|---|---|---|---|---|
| LinkedIn Ads | $21K | 1,840 | $4.2M | $680K |
| Google Ads | $152K | 2,310 | $2.9M | $390K |
| Events | $64K | 410 | $3.1M | $720K |
| Content / SEO | $53K | 980 | $1.4M | $210K |
| Webinars | $60K | 620 | $1.1M | $180K |
The most-used view in the product answers one question verbatim: How Effective Is Our Demand Generation? Channel-by-channel performance across pipeline, bookings, and ROI, with period-over-period deltas. The screen the CMO opens every Monday, the screen the board sees once a quarter.
- Three main views: Detailed Tabular · Performance & Trends · Insights
- Summary metrics across Key Metrics / Volume / Value sub-tabs
- Detailed Tabular scales to 4,820 campaigns across 482 pages
- Performance & Trends splits into Trend / Analyse / Compare
- Insights ranks top-N and bottom-N performers by any metric
- AI Summary, Take a Tour, and one-click Export on every view
- Period selector and engagement filters synced across modules
Marketing Mix Modeling, built in
| Channel | Saturation pt. | Recommend |
|---|---|---|
| LinkedIn Ads | ~$840K | Hold |
| Google Ads | ~$520K | +12% |
| Events | no saturation | +25% |
| Direct Mail | ~$80K | -15% |
Saturation curves and diminishing-returns analysis per channel, time-series-aware. MMX tells you what would have worked at twice the spend, and what would have stopped working at half.
- Time-series-aware with carryover effects
- Saturation curves per channel
- Optimal reallocation with pipeline lift
- Causal inference behind every recommendation
- MMX and MTA on one context layer
Incrementality testing, not just correlation
Statistical lift studies with hold-out groups and a modeled counterfactual: pre & post analysis, DiD analysis. When the CFO asks 'would we have gotten this revenue anyway,' there is a defensible answer.
- Pre & post analysis against a historical baseline
- Difference-in-differences (DiD) test across matched cohorts
- p-value and effect size reported per run
- Incrementality test runs as a saved view in Marketing Performance
- CFO-grade one-page test summaries
Existing allocation. Reallocation opportunity. One click between
The module answers How Can I Optimize My Campaign Allocation? Existing Allocation sits on the left with its current Pipeline and Booking ROI. Reallocation Opportunity sits on the right with the projected outcomes if you move spend as the AI recommends, with the uplift shown as a percentage. Same budget, more pipeline. Approve and push to Google or LinkedIn directly, roll back any move in one click.
- Existing Allocation vs Reallocation Opportunity, side by side
- Optimize based on Pipeline Generated or Booking Generated
- Top-N performing campaigns vs Bottom-N, ranked together
- Push to Google, LinkedIn, Meta directly
- Propose / approve / commit / roll back via Safe Autonomy
- Audit trail per move with who and when
From spend to bookings, in one screen
Board Dashboard is one of the saved views inside Marketing Performance, alongside True Lead Source & Dark Social, Sales Rep Effectiveness, Account Progression, and the Google Lift Test. Nine sub-tabs span attribution, pipeline health, channel effectiveness, funnel-stage deep dive, and campaign budget.
- Nine sub-tabs, one source of truth
- Contribution by channel with stage selector
- Account engagement trends (LinkedIn-aware)
- True Lead Source & Dark Social attribution built in
- Quarterly trends with region overlay
- Board-ready PDF + PNG export
Response Curve Analysis, per channel
Quarterly spend on each channel mapped against quarterly generated pipeline value. Plus a spend-vs-ROI curve showing diminishing returns.
- Spend → pipeline response curve per channel
- ROI overlay showing diminishing returns
- Region overlay (NA, EMEA, APAC)
- Log-axis toggle for wide-spend channels
- Marginal ROI at current and ±20% spend
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.
RevSure's mix modeling gave us a defensible answer to the CFO's 'would we have closed that revenue anyway' question. For the first time, the response curves told us where to stop spending, not just where to spend more.
Suruchi Sharma
VP Marketing · Zscaler
The other applications
Funnels & Journeys
Snapshot Funnel, Journey Sankey, Cohort Intelligence, leakage detection.
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.
ExploreFund the channels that close
Implementation included. The migration off your current attribution stack is on us.