The Problem This Solves

What We Hear:

"

Our pipeline looks healthy, but deals keep slipping. We can't figure out why.

"

Sales forecasts change every week. I have no idea what revenue to actually expect.

"

By the time we know a customer is unhappy, they've already decided not to renew.

"

Finance wants one set of reports. Sales wants different reports. Executives want a third view. Nobody agrees on what's real.

What This Actually Costs:

Fragmented revenue visibility causes missed growth opportunities, resource misallocation based on optimistic pipeline, churn blindness until customer cancels, delivery disconnection from what was sold, forecasting fiction preventing strategic planning, cash flow surprises, and investor/board confusion from conflicting reports.

What Hasn't Worked:

βœ— Implemented revenue operations role β†’ Created coordination bottleneck, person becomes translator between disconnected systems
βœ— Bought forecasting software with AI β†’ AI predicts based on historical patterns of inflated pipeline; garbage in, garbage out
βœ— Integrated CRM with accounting system β†’ Syncs deal value to revenue record; doesn't solve expectation misalignment or health visibility

What Unified Revenue View Actually Means

Everyone in your organization who makes revenue-related decisions sees complete commercial realityβ€”not sales' optimistic pipeline, not finance's historical accounting, not success team's engagement metrics in isolation, but the complete picture of revenue health from first signal through renewal and expansion. Making decisions based on relationship reality instead of departmental assumptions.

Practically, this means:

β†’ Sales sees customer health and usage patterns before expansion conversations
β†’ Delivery sees deal commitments and expectations before starting implementation
β†’ Finance sees deal progression and confidence before revenue recognition
β†’ Customer success sees original deal context and promises made
β†’ Leadership sees relationship-based revenue forecast, not stage-based theater

What This Looks Like in Practice

With Unified Revenue View

Thursday Morning, Executive Team Meeting: Leadership dashboard shows $2.3M revenue this quarter (actual), $850K at high confidence (strong relationships, clear signals), $1.2M at medium confidence (engaged but complexity not resolved), $600K at risk (engagement dropped, tickets escalating). Everyone looking at same data. Discussion focuses on 'what should we do about the at-risk segment?'

Without It

CFO shows revenue recognition report. CSO shows pipeline report. CCO shows retention metrics. Numbers don't align. Meeting devolves into debate about whose numbers are 'right' instead of addressing business reality.

The Journey to Unified Revenue View

1

Foundation Milestone

Unified commercial platform is live. Revenue lifecycle from first opportunity through renewal visible in one place. Sales, delivery, finance, and success teams access complete commercial context where they work.

What teams can do:

  • βœ“ Sales sees customer health and usage patterns before expansion conversations
  • βœ“ Delivery sees deal commitments and expectations before starting
  • βœ“ Finance sees deal progression before revenue recognition
  • βœ“ Customer success sees original deal context and promises made
  • βœ“ Leadership sees relationship-based revenue forecast, not stage-based theater

Key Objects:

Deal Quote Order Invoice Payment Service
2

Capability Milestone

Organization trusts unified data for decisions. Forecasts based on relationship health prove more accurate. Teams make proactive decisions. Revenue operations becomes strategic advantage.

What teams can do:

  • βœ“ Forecast reliability - sales forecasts within 10% of actual
  • βœ“ Proactive retention - identify risk 90 days before renewal
  • βœ“ Delivery alignment - implementation rarely surprised by expectations
  • βœ“ Expansion intelligence - growth opportunities identified from patterns

Key Objects:

Subscription Custom Success Metrics Implementation Milestones
3

Multiplication Milestone

Unified Revenue View is foundational competitive advantage. Ability to forecast reliably, retain proactively, and deliver consistently creates market differentiation.

What teams can do:

  • βœ“ Self-improving intelligence - AI learns from commercial history to improve forecasting
  • βœ“ Natural knowledge capture - successful approaches replicate automatically
  • βœ“ Virtuous cycles - accurate forecasting leads to better planning leads to more success

Key Objects:

All objects enhanced with AI-powered predictive properties

Unified Revenue View Assessment

Evaluate your organization's ability to maintain accurate forecasts and unified revenue visibility across sales, marketing, and finance functions.

Swipe through the cards to answer all questions, then see your results

Question 1 of 17 0 answered
Commercial Data Questions
Question 1 of 17

Where does your organization store customer and deal information?

Consider all systems that hold this data (CRM, spreadsheets, databases, etc.)

Commercial Data Questions
Question 2 of 17

How well do your sales pipeline stages align with accounting revenue recognition rules?

Consider whether deal stages match your ARR/MRR booking logic

Commercial Data Questions
Question 3 of 17

How accessible is your commercial data to non-technical users?

Consider who can run reports and create dashboards without IT help

Commercial Data Questions
Question 4 of 17

What is the completeness rate of key deal data fields in your CRM?

Consider fields like deal size, close date, product mix, customer segment, etc.

Commercial Data Questions
Question 5 of 17

How often do you discover data quality issues during month-end or quarter-end reconciliation?

Think about duplicates, overlapping deals, incorrect data, and historical corrections needed

Forecasting Reality Questions
Question 6 of 17

How accurate is your typical quarterly revenue forecast versus actual results?

Compare forecast made at quarter-start to actual results

Forecasting Reality Questions
Question 7 of 17

How often do deals fail that were expected to close in the forecast?

Consider deals marked as "committed" or "very likely" that slip past the quarter

Forecasting Reality Questions
Question 8 of 17

How much of your forecast is based on "best guess" versus documented deal progress?

Consider whether forecasts use systematic deal scoring or primarily sales judgment

Forecasting Reality Questions
Question 9 of 17

How often do unforecasted deals appear that should have been visible?

Think about deals that close but weren't on the forecast in the prior 30 days

Cross-Functional Alignment Questions
Question 10 of 17

How aligned are sales and finance on the forecast number?

Consider whether both teams agree on which deals are in the forecast and why

Cross-Functional Alignment Questions
Question 11 of 17

How frequently do sales and finance need to reconcile forecast discrepancies?

Consider meetings or processes needed to explain forecast differences

Cross-Functional Alignment Questions
Question 12 of 17

How well does marketing understand the sales forecast and pipeline?

Consider whether marketing can see pipeline and adjust programs based on forecast health

Cross-Functional Alignment Questions
Question 13 of 17

How well do sales managers enforce consistent forecasting discipline?

Consider whether all forecast entries follow consistent criteria and rules

Customer Experience Impact Questions
Question 14 of 17

How often does data fragmentation cause customer service issues?

Think about service gaps when customer info isn't available to support/success teams

Customer Experience Impact Questions
Question 15 of 17

Can your teams quickly answer: "What's our total contract value and commitment with this customer?"

Consider across products, billing entities, and contract types

Customer Experience Impact Questions
Question 16 of 17

How well do account managers understand their customer expansion opportunities?

Consider whether they see upsell, cross-sell, and at-risk account visibility

Customer Experience Impact Questions
Question 17 of 17

How quickly can you identify at-risk accounts that need intervention?

Consider your ability to spot churn risks and take preventive action

Assessment Complete!

Here's your diagnostic result:

0
out of 100

The Objects That Enable It

How They Work Together

These objects create a unified commercial story. Deal tracks opportunity progression. Quote documents what's being proposed. Order confirms commitment. Service tracks delivery. Invoice/Payment manage financial flow. Together, they create complete visibility into revenue health from first signal through renewalβ€”enabling forecast accuracy, proactive retention, and delivery alignment.

See It In Action

In the Simulator

β†’ Revenue View dashboard showing actual revenue, high/medium confidence opportunities, and at-risk segments
β†’ Deal progression based on relationship health, not just pipeline stage
β†’ Service delivery connecting back to original commercial commitments

The "Aha Moment"

See how relationship-based forecasting (using health scores and engagement patterns) proves more accurate than traditional stage-based forecasting

Measuring Success (KVI Philosophy)

What NOT to measure

βœ— Pipeline value without confidence context
βœ— Win rate percentage alone
βœ— Deal count
βœ— Activity metrics
βœ— Close date accuracy

What to measure instead

Forecast Variance Trend
How closely actual bookings match forecasted revenue over time
Relationship Health Predictiveness
How well health scores predict actual deal outcomes
Healthy Revenue Percentage
What percentage of recurring revenue comes from healthy relationships
Early Intervention Success Rate
When at-risk customers identified early, how often does intervention prevent churn
Delivery Alignment Quality
How well does actual delivery match what was sold

The Principle

Every metric should answer: 'Is revenue visibility enabling better commercial decisions and customer outcomes?' Traditional revenue metrics measure activity or size. KVIs measure relationship health and decision quality that predict sustainable revenue. Focus on leading indicators (relationship health) not just lagging indicators (revenue booked).

Go Deeper