Shared KPIs: The Key to a Working Revenue Engine
Without shared metrics, every department optimises past the other. We show you which KPIs really matter and how to use them properly.
The problem: marketing and sales live in different worlds
The scenario is everyday reality: marketing delivers leads, sales criticises their quality. Marketing says: "We hit our targets." Sales says: "These leads are junk." Both are right, from their own perspective.
The core problem
Marketing is often rewarded for lead volume, sales for revenue. Those are two completely different KPIs, and they create conflict automatically.
Marketing optimises for
- Lead volume
- Cost per lead
- Website traffic
- Funnel conversion rates
Sales optimises for
- Closed deals
- Deal size
- Win rate
- Sales cycle time
Each department succeeds inside its own metric universe and fails against the other.
The consequence
- Forecast uncertainty, nobody really knows which leads turn into revenue
- Rising acquisition costs through inefficient use of leads
- Frustration and mutual blame
- Lost deals and wasted growth potential
The solution
Shared KPIs create a single point of truth. Both teams look at the same data and work towards the same goal.
That sounds simple. In practice it is an organisational challenge, but a solvable one.
For the bigger picture, read our overview of marketing and sales alignment.
Which KPIs should marketing and sales share?
Successful alignment ("smarketing") requires KPIs that cover the entire customer lifecycle instead of staying inside departmental silos.
These nine KPIs form the foundation of a working revenue engine:
Sales Qualified Leads (SQLs)
An SQL is a lead that sales has accepted as ready to buy, based on jointly defined criteria.
Why it matters
SQLs are the first shared yardstick. For exact definitions, see MQL and SQL: Definition, Difference and Handover.
What it reveals
Rising SQLs indicate better lead quality. Falling SQLs signal that marketing is generating less relevance or that definitions are drifting apart.
MQL to SQL conversion rate
The share of marketing qualified leads that become SQLs.
Why it matters
This is the most direct metric for lead quality and process alignment. A rising rate means marketing and sales understand each other better. A falling rate is an early warning signal.
What it reveals
When the rate drops, the cause is usually a wrong lead definition, insufficient nurturing or a sales resource problem. That diagnosis helps you find the real issue.
Lead-to-close rate
Measures overall efficiency from first contact to won customer.
Why it matters
This is the view on total pipeline efficiency. A high rate means the system works. A low or falling rate reveals weak spots somewhere in the funnel.
What it reveals
Broken down by channel, it shows which marketing channel delivers the best leads.
Win rate
The share of won opportunities across all decided deals.
Why it matters
This is a direct measure of your ability to close qualified opportunities. A low win rate shows that either lead fit is poor or sales execution is ineffective.
What it reveals
A falling win rate often signals stronger competition, weak lead qualification or insufficient sales skills.
Pipeline velocity
Calculates how fast revenue moves through the pipeline.
Formula
(Opportunities x win rate x avg. deal value) ÷ avg. sales cycle length
Why it matters
This is the best leading indicator for future revenue. Rising velocity means you close faster and at higher values. Falling velocity is a warning sign.
What it reveals
When velocity drops, the reasons are usually longer sales cycles, lower win rates or smaller average deal sizes.
Pipeline value & pipeline coverage
The total value of all active opportunities and its ratio to the sales target.
Benchmark
Ideally the pipeline covers three to four times the quarterly target.
Why it matters
This is your leading indicator for future revenue. Without sufficient pipeline, revenue certainty is impossible.
What it reveals
A weak pipeline signals that marketing is not generating enough relevant demand or that sales is not developing deals properly.
Customer acquisition cost (CAC) & CAC payback period
Total marketing and sales spend per new customer, and the number of months until that spend is recovered through contribution margin.
Why it matters
This is the economics metric. Rising CAC shows that winning new customers is getting harder and more expensive.
What it reveals
Rising CAC comes from inefficient ad spend, increased competition, weak positioning or inefficient sales work.
LTV to CAC ratio
The ratio between customer lifetime value and CAC.
Benchmark
A healthy ratio is at least 3:1.
Why it matters
It shows whether your customer acquisition is profitable long term. If CAC exceeds lifetime value, you lose money on every new customer.
What it reveals
A falling ratio means either you spend too much on acquisition or customer satisfaction is dropping and churn is rising.
Forecast accuracy
How closely your forecasted revenue matches actual results.
Why it matters
It reveals how well marketing and sales know their data and can predict trends. High accuracy shows that your team works with real data understanding, not gut feeling.
What it reveals
Low accuracy points to poor CRM discipline, data silos between teams or unreliable lead definitions.
You now know which nine metrics matter. The real question is which of them are reliably measurable in your company today.
How to measure alignment in KPIs
Alignment does not show in the mere existence of KPIs. Alignment shows in how teams use and understand those KPIs.
Three signs of real alignment
A common language
Alignment is lost when marketing thinks only in "MQLs" and sales only in "closed won". Alignment exists when both teams share the same definition of:
- MQL
- SQL
- Opportunity
- Sales cycle
And when both teams follow the same north star, for example "revenue from ideal customer profile accounts (ICP ARR)".
Systemic transparency
Real alignment shows when both departments:
- work in the same CRM, not in two systems
- maintain data in real time instead of monthly syncs
- keep a high measurability rate, meaning a high share of cleanly attributable contacts
- use one shared dashboard instead of separate reports
When marketing looks at its automation tool and sales at its CRM, debates start. With one dashboard, they end.
Collective accountability
Aligned teams win and lose together. In practice that means:
- marketing is accountable for lead quality and pipeline development
- sales is accountable for timely follow-up and feedback
- both are jointly accountable for forecast accuracy and revenue
If one department hits its targets and the other does not, alignment has failed.
How to implement shared KPIs: the five-phase process
Implementation is not an IT project. It is an organisational change process.
- 1
Phase 1: standardise definitions
Marketing, sales and RevOps sit down together and agree in writing:
- What counts as an MQL, with exact criteria?
- What counts as an SQL, with exact criteria?
- What is an opportunity, and when does an SQL become one?
- Which data must be documented?
Duration2 to 3 workshops of 2 hours each
The most common problem is different mental models. An SQL in the CRM is not the same as an SQL for sales. That has to be resolved.
- 2
Phase 2: define service level agreements
An SLA sets the rules in a binding way:
- marketing delivers at least X SQLs per month
- sales contacts 95 percent of them within 4 hours
- every SQL gets at least 3 contact attempts
- feedback reasons are documented
- the rejection rate must not exceed Y percent
Duration1 workshop of 2 to 3 hours plus alignment with HR and finance
The SLA is not rigid - it is reviewed every quarter. More details: SLAs: The Next Step After Shared KPIs.
- 3
Phase 3: install routines
Shared KPIs need regular meetings:
- Weekly: pipeline council, 15 to 30 minutes, for current SQLs, opportunities and blocked deals
- Monthly: marketing and sales alignment review, 60 minutes, for KPI review, trend analysis and adjustments
- Quarterly: strategic business review, 90 minutes, for strategy, budget reallocation and target corridors
- 4
Phase 4: build one central dashboard
You need one data source both teams look at:
- SQLs per month
- MQL to SQL conversion
- pipeline value
- win rate
- CAC
- forecast accuracy
No "I look at Marketo, you look at Salesforce". One dashboard, done. Options include CRM reports, Tableau, Looker or a self-built dashboard in sheets.
- 5
Phase 5: gradual transition
Move gradually, not with a "big bang":
- month 1 to 2: pilot group
- month 2 to 3: full implementation
- from month 3: continuous optimisation
That gives teams time to get used to transparency.
Five phases sound like a lot. In practice the foundation stands within weeks once the definitions are settled.
How to prevent wrong incentives
Wrong incentives appear when departments are rewarded in isolation for pure volume activity.
Mistake 1: marketing rewarded only for MQL volume
The problem
When marketing is paid for lead volume alone, it runs broad campaigns. Quality does not matter, only quantity.
The consequence
Sales receives many leads, but most do not fit. Lead rejection rises, win rate falls, sales frustration grows.
The solution
Marketing incentives should be tied at least 50 percent to revenue generated from ICP deals and 50 percent to the SAL to SQL conversion rate.
- 50 percent of the bonus for new ARR from ICP accounts generated by marketing
- 50 percent of the bonus for the SAL to SQL conversion rate
That forces marketing to prioritise quality over volume.
Mistake 2: SDRs and BDRs rewarded only for meetings
The problem
When SDRs are rewarded only for "booked meetings", they fill the sales calendar with unqualified leads.
The consequence
AEs sit in poor meetings. Frustration rises, time to close suffers, deal quality drops.
The solution
SDR incentives should be split:
- 40 percent for qualified meetings that actually took place
- 40 percent for the downstream SQL rate
- 20 percent for documented base activity
That makes invitation quality more important than calendar entries.
Mistake 3: activity KPIs as primary bonus drivers
The problem
Metrics like "calls per day" or "email open rates" lead to busywork.
The consequence
Teams optimise for the metric, not the outcome. Quality drops, burnout risk rises.
The solution
Activity KPIs belong in reporting, not in bonus logic. Focus on outcome KPIs: meetings booked, SQLs qualified, revenue generated.
Mistake 4: AE incentives decoupled from process discipline
The problem
AEs are rewarded for revenue only. CRM discipline, forecast accuracy and documentation are irrelevant to them.
The consequence
The forecast is unreliable. Data quality drops, friction with marketing and operations rises.
The solution
AE incentives should include 10 to 15 percent for forecast hygiene:
- fully documented next steps in the CRM
- adherence to stage exit criteria
- correct opportunity values
That incentivises real process discipline, not just closing.
Wrong incentives are the most common reason good KPI systems fail. We review your incentive logic with you.
The four operational follow-up questions companies must answer
After the theory come the practical problems. These are the four operational questions you need to resolve:
The four strategic questions companies must answer
Beyond day-to-day operations, four strategic questions decide whether your KPI system holds.
Common mistakes in KPI implementation
Introducing too many KPIs at once
Teams are overwhelmed. They are asked to optimise 15 KPIs at the same time. No clarity on what counts.
The rollout fails. Teams ignore the KPIs because they are unclear.
The solution
Start with three north star KPIs: pipeline value, win rate, CAC. Everything else is detail.
A dashboard without operating routines
A beautiful dashboard gets built. But there are no regular meetings to discuss it.
The dashboard goes unused. Teams keep working in silos.
The solution
Dashboard plus a weekly 15-minute pipeline council plus a monthly 60-minute KPI review. That works.
KPIs without consequences
"We have shared KPIs, but nothing happens when someone misses them."
Teams keep optimising for their own metrics, not the shared ones.
The solution
KPIs must feed into commission logic, promotions and target corridors. Consequences have to be real.
Your next step: implementing the KPI framework
Shared KPIs are the key to a working revenue engine.
The good news: you do not start from zero. You already have a CRM and data. You only need to define it cleanly and make it binding.
Three ways to start:
Option 1: work with the template yourself
Use our SLA template with definitions, benchmarks and rules of engagement, and adapt it to your numbers.
See the SLA templateOption 2: assess yourself with our scorecard
Use our interactive checklist to assess the maturity of your marketing and sales. You see immediately where you stand.
Open the checklistOption 3: professional support
In a free 30-minute intro call we show you where your KPI system stands today and where the biggest levers are. Then you decide.
Together we build
the bridge
Every week without a functioning pipeline costs you more than 30 minutes of your time. In the initial consultation (free, 30 minutes) you get an outside perspective on your situation. No pitch. Then you decide.
FAQ: common questions about shared KPIs
Sources
Sources: Microsoft and Constellation Research (account-based strategy), Marketick RevOps Guide, iRevenueOps KPI framework, Think Tank GTM Report 2025, Battery Ventures (six pipeline elements), DigitalScouts RevOps KPIs, BrixonGroup (7 KPIs for alignment), SalesHive, Understory benchmarks, Pipeline360 whitepaper, Liverpool University (organizational barriers), Capgemini CMO playbook, Beehiiv B2B benchmarks, SalesLabel B2B funnel, Stoll Consulting, Infuse alignment best practices, Sopro.io alignment statistics, Workshop Digital Manufacturing Playbook.