---
title: How Many KPIs Should an Incentive Plan Use? | Bentega
description: Learn how many KPIs to include in an incentive plan, when multiple metrics make sense, and how weighting, gates and complexity affect variable pay.
image: https://www.bentega.io/hubfs/AI-Generated%20Media/Images/illustration%20on%20how%20many%20metrics%20you%20should%20track.jpeg
---

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 Oct 21, 2024

# How many KPIs should an incentive plan use?

![Picture of Andreas S. Loktu](https://app.hubspot.com/settings/avatar/3f41a5dd11434c453a87cb1de7df2224) [Andreas S. Loktu](https://www.bentega.io/blog/author/andreas-s-loktu)

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A business may track dozens of performance metrics without needing dozens of metrics in its incentive plans.

That distinction matters.

Management needs information for forecasting, coaching, resource allocation and understanding the business. An incentive plan has a narrower job. It identifies the results the company has deliberately chosen to reward and defines how those results affect variable pay.

Every additional KPI in the plan therefore adds another target, another calculation, another source of data and another result the participant has to understand.

There is no universal number of KPIs that every incentive plan should use. The better question is whether each metric has a distinct reason to affect compensation.

For the broader framework around selecting suitable measures, see our [**KPI-based incentives guide**](https://www.bentega.io/kpis-and-metrics).

![how many metrics](https://www.bentega.io/hs-fs/hubfs/AI-Generated%20Media/Images/illustration%20on%20how%20many%20metrics%20you%20should%20track.jpeg?width=960&height=549&name=illustration%20on%20how%20many%20metrics%20you%20should%20track.jpeg)

## Reporting metrics and incentive metrics serve different purposes

Suppose a Sales leader tracks:

- new ARR;
- win rate;
- sales cycle;
- average contract value;
- pipeline coverage;
- discounting;
- gross margin;
- forecast accuracy.

All of those may help the leader understand commercial performance. It does not follow that all eight belong in the salesperson's compensation plan.

The business might decide that new ARR is the primary result being rewarded, while discounting, win rate and pipeline coverage remain management metrics used to diagnose how that result is being produced.

This distinction keeps management reporting rich without automatically turning every important number into a compensation rule.

Our [**incentive compensation metrics by role guide**](https://www.bentega.io/blog/performance-metrics-for-incentive-compensation-what-to-measure) covers the question of which measures may be appropriate for different incentivised roles.

## Start with the outcomes the role is expected to deliver

Before deciding how many KPIs to use, define what the role is actually accountable for.

Imagine a Customer Success role with responsibility for both renewals and expansion.

If the company wants the incentive to reward both responsibilities, two measures may have clearly different jobs:

**Retention** rewards protection of the existing customer base.

**Expansion** rewards growth within that customer base.

Using both can therefore make sense.

Now imagine adding CSAT, customer health, product adoption and number of customer meetings simply because those metrics are also available.

Some of them may provide valuable management information, but they do not necessarily need to determine compensation.

The plan becomes stronger when each metric represents a genuinely different outcome the company has decided to reward.

## One KPI can be enough

A simple incentive plan does not need several metrics merely to appear balanced.

Consider an Account Executive whose main responsibility is acquiring eligible new business.

If the company can define that result clearly and is comfortable rewarding it directly, one primary commercial metric may be sufficient.

Other controls can still exist around it.

The company might define:

- which revenue qualifies;
- crediting rules;
- earning events;
- eligible products;
- treatment of cancellations;
- approval rules;
- maximum payout.

The fact that the plan has one main KPI does not make the surrounding incentive design simple or uncontrolled.

Adding a second metric can be valuable only when it solves a real design problem.

## Multiple KPIs make sense when the role has multiple material outcomes

Some roles genuinely have broader accountability.

A commercially responsible Customer Success role might own both retention and expansion.

A GTM leader might be responsible for growth, retention and profitability.

A business leader might have operational and financial objectives that cannot reasonably be represented by one performance measure.

In those cases, several KPI components may better reflect the role.

For example, an illustrative leadership plan could use:

**Revenue growth: 50%**  
**Retention: 30%**  
**Profitability: 20%**

Those weights are examples, not recommended benchmarks.

The reason for using three metrics should be that the role genuinely owns three important outcomes, not that three happens to be a preferred number of KPIs.

## Every metric should have a distinct job

A good way to review a multi-KPI plan is to ask what changes if one metric is removed.

Suppose a plan contains:

- new ARR;
- total revenue;
- number of new customers;
- average contract value.

Depending on the business model, several of those metrics may reward closely related versions of the same commercial outcome.

That can create unnecessary overlap.

Compare that with:

- new ARR;
- gross margin.

Now the two measures may have genuinely different purposes.

New ARR rewards growth.

Gross margin introduces the economics of that growth.

Whether that particular combination is appropriate depends on the role and business, but at least the metrics have distinguishable jobs.

If two metrics reward essentially the same behaviour, the plan may not gain much from including both.

## Avoid adding KPIs merely to correct another KPI

Sometimes a plan becomes complicated because every unintended consequence creates another metric.

Imagine a company starts with revenue.

It then worries about discounting, so margin is added.

It worries about poor-fit customers, so retention is added.

It worries about weak activity, so meetings are added.

It worries about strategic products, so product mix is added.

Eventually the participant is working against five different compensation measures because each new metric was introduced to counterbalance the previous one.

At that point, it is worth reconsidering the design itself.

Some issues may be better addressed through:

- eligibility rules;
- crediting rules;
- thresholds;
- gates;
- caps;
- approval conditions;
- qualification criteria;
- management processes.

Not every business constraint needs to become another weighted KPI.

## A gate can sometimes replace another weighted metric

A company may care deeply about an outcome without wanting it to become another continuously weighted component.

Consider a Sales leadership plan where revenue growth is the primary incentive measure but profitability also matters.

One option is:

**Revenue: 70%**  
**Profitability: 30%**

Another possible structure is to calculate the incentive from revenue and use profitability as a **gate** that affects whether some or all of the calculated payout is available.

These structures behave differently.

A weighted KPI continuously contributes to the payout calculation.

A gate introduces a condition.

The choice depends on what the company wants the metric to do.

This is one reason the number of weighted KPIs cannot be decided independently from the rest of the plan design.

Our guide to [**KPI targets, thresholds and payout curves**](https://www.bentega.io/blog/setting-effective-kpi-benchmarks-and-targets) explains gates and other payout mechanisms in more detail.

## Small weights deserve scrutiny

Suppose a bonus contains five KPI components:

**35% + 30% + 20% + 10% + 5%**

There is nothing mathematically wrong with that structure.

But the 5% component deserves a question: does it meaningfully influence what the participant should prioritise?

If the answer is no, it may be better treated as a management KPI rather than part of the compensation formula.

Small components can still matter in some plans. The point is not to establish a minimum acceptable weighting.

It is to make sure every component has enough significance to justify the additional rules, calculation and communication it creates.

## Consider how the metrics interact

The number of metrics is only part of the design.

Their interaction matters just as much.

Imagine a Customer Success plan with:

**Retention: 60%**  
**Expansion: 40%**

Now consider two scenarios.

### Scenario A

Retention is strong and expansion is strong.

The measures reinforce each other.

### Scenario B

Expansion is strong, but the company discovers that aggressive expansion activity is damaging customer relationships and retention.

The plan may need more than a different weighting.

The company should investigate whether ownership, sales process, customer fit or incentive design needs to change.

Adding another KPI simply to counter the behaviour may make the compensation formula more complex without addressing the underlying issue.

This is why cross-functional incentive design matters. Different teams and metrics can remain distinct while still supporting the same customer journey.

## Individual, team and company metrics also add layers

A participant may have more than one level of performance in the plan.

For example:

**Individual metric:** personal new ARR  
**Team metric:** regional ARR  
**Company metric:** overall profitability

This may be appropriate if the company deliberately wants to reward all three levels.

But each layer changes the relationship between an employee's own performance and their payout.

If most of the incentive depends on results far outside the participant's influence, the plan may become harder to understand and less directly connected to individual performance.

There is no requirement that every incentive plan include individual, team and company components.

Use each level only when it has a reason to be there.

## Worked example: three KPIs or two?

Suppose a Customer Success team has a quarterly target bonus of €5,000.

The company initially proposes:

**Retention: 50%**  
**Expansion: 30%**  
**CSAT: 20%**

That produces target values of:

**Retention: €2,500**  
**Expansion: €1,500**  
**CSAT: €1,000**

Before finalising the plan, the company reviews what each component contributes.

Retention reflects the commercial outcome of keeping customers.

Expansion reflects additional growth from existing customers.

CSAT provides useful information about customer sentiment, but the company discovers that response rates vary significantly between portfolios and the result can be influenced by when surveys are sent.

The company may therefore decide that CSAT remains an important management metric but should not determine variable pay.

The incentive plan becomes:

**Retention: 60%**  
**Expansion: 40%**

CSAT is still tracked.

It simply has a different role.

This is often the distinction that matters most when deciding how many KPIs an incentive plan should contain.

## Complexity is not only about the number of KPIs

Two KPI components can still create a complicated plan.

Suppose each component has:

- a different performance period;
- several thresholds;
- multiple payout rates;
- separate caps;
- different source systems;
- manual exceptions;
- different effective dates.

That two-metric plan may be harder to operate than another plan containing three straightforward measures.

When reviewing complexity, consider the entire calculation and operating process:

- **How many metrics are there?**
- **How many rules apply to each one?**
- **How many data sources are required?**
- **How often do results change?**
- **How many exceptions need manual review?**
- **Can employees reproduce or understand the calculation?**

Metric count is one dimension of complexity, not the only one.

## Employees should know what deserves their attention

An incentive plan communicates priorities whether the company intends it to or not.

If an employee has six equally prominent KPI components, each with different definitions and payout rules, the plan may struggle to communicate which results matter most.

A more focused plan can create clearer priority.

That does not mean management stops measuring everything else.

A salesperson can still receive coaching on pipeline coverage, forecast quality and conversion rates even when those metrics do not directly determine commission.

A CSM can still be expected to maintain customer relationships and adoption even when the variable-pay formula uses retention and expansion.

Compensation is one management mechanism. It does not need to contain the entire job description.

## When should you add another KPI?

Another KPI is easier to justify when it captures a material responsibility that is missing from the current plan.

For example, the addition may make sense when:

- the role genuinely owns another major outcome;
- one important part of the role currently receives no incentive attention;
- the new measure creates a deliberate balance between different business outcomes;
- the metric can be defined and measured reliably;
- the participant can meaningfully influence it;
- its weighting is significant enough to matter.

The case is weaker when the new KPI is being added because the data happens to exist, because another company measures it or because the plan appears too simple with only one component.

## When should you remove a KPI?

A KPI may no longer deserve a place in the compensation plan when:

- it duplicates another measure;
- responsibility has moved to another role;
- the metric is difficult to reproduce;
- the participant has little influence over the result;
- the weighting has become largely symbolic;
- employees consistently struggle to understand how it affects payout;
- the business no longer wants to prioritise the behaviour it rewards.

Removing the metric from compensation does not mean the business has to stop measuring it.

That separation is important.

## Review metric count when the role changes

The right KPI structure can change as the company develops.

A Customer Success role that initially focuses only on renewals may later gain expansion responsibility.

A salesperson may move from pure new business into account ownership.

A GTM leader may receive broader responsibility for margin or retention.

Those changes can justify changing the incentive structure.

When they do, use clear effective dates and preserve the previous plan rather than retrospectively applying the new KPI mix to performance generated under the old rules.

Our guide on [**integrating KPIs into compensation plans**](https://www.bentega.io/blog/integrating-kpis-into-compensation-plans-for-better-results) covers effective dates, data, calculation, approval and change handling in more detail.

## How Bentega handles multi-KPI incentive plans

Bentega supports KPI-based payout logic as part of broader incentive plans, including weighted components, thresholds, automated calculations, approval workflows and employee and manager visibility.

Different components can use their own performance inputs and calculation rules before contributing to the participant's incentive result.

This means a plan can distinguish between:

- **the KPI itself**
- **the participant's result**
- **the weighting or payout logic**
- **the resulting variable pay**
- **review and approval**

Keeping those layers separate becomes increasingly important as additional KPI components are introduced.

The objective is not to encourage companies to build more complicated plans. It is to make the plan the company has chosen possible to calculate, review and explain consistently.

[**Explore Bentega**](https://www.bentega.io/product)

## Frequently asked questions

### How many KPIs should an incentive plan include?

 There is no universal number.

Include the metrics needed to represent the distinct outcomes the participant is being rewarded for, and avoid adding additional KPIs unless they have a clear role in the compensation design.

### Is one KPI enough for an incentive plan?

 It can be.

If the role has one clear primary outcome and the plan can reward it without creating unacceptable incentives elsewhere, a single KPI may be appropriate.

Other performance measures can still be tracked for management and coaching.

### Is three KPIs better than one?

 Not automatically.

Three KPIs may be appropriate for a role with several material responsibilities, while another role may need only one.

The number should follow the role and plan design rather than a generic rule.

### Should every important business KPI affect variable pay?

 No. Companies usually need to monitor more information than they should include in compensation formulas.

Reporting metrics, diagnostic metrics and incentive metrics can have different purposes.

### Can a gate be used instead of another KPI?

 Yes. A gate can make one performance condition affect the availability or level of payout without making that measure another continuously weighted KPI component.

The appropriate structure depends on what the company wants the measure to do.

### Should small KPI weightings be removed?

 Not necessarily. But a very small weighting should have a clear purpose.

 If the metric has little practical impact on payout or behaviour, consider whether it would be more useful as a management KPI.

### Can individual and company KPIs be used in the same plan?

 Yes. A plan can combine individual, team or company results.

The company should be deliberate about how much of the employee's payout depends on outcomes they directly influence versus broader organizational performance.

### How should multiple KPIs be implemented operationally?

 Define each metric, source data, participant eligibility, target, weighting and payout logic separately, then define how the results combine.

Our [**guide to integrating KPIs into compensation plans**](https://www.bentega.io/blog/integrating-kpis-into-compensation-plans-for-better-results) covers the full implementation workflow.

NEXT STEP

## Use as many KPIs as the plan actually needs

The goal is not to find the perfect universal number.

Start with the role and the outcomes the company wants to reward.

Give each KPI a distinct purpose. Keep diagnostic and reporting measures outside the compensation formula when they do not need to affect pay. Use weighting, gates and other plan rules deliberately rather than solving every concern by adding another KPI.

The result should be a plan where employees can understand what matters, the company can explain why each metric is there, and the payout can be calculated from clearly defined rules and data.

For the broader framework, see our [**KPI-based incentives guide**](https://www.bentega.io/kpis-and-metrics).

 

[KPIs & Metrics](https://www.bentega.io/blog/tag/kpis-metrics)

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## [Sales KPIs: which metrics should affect compensation?](https://www.bentega.io/blog/driving-sales-success-harnessing-sales-kpis-and-incentives-for-optimal-performance)

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## [How to integrate KPIs into compensation plans](https://www.bentega.io/blog/integrating-kpis-into-compensation-plans-for-better-results)

[![Incentive compensation metrics workflow showing business goals, metrics, source data, payout logic, and approval](https://www.bentega.io/hs-fs/hubfs/Incentive%20compensation%20metrics%20workflow%20Bentega.png?height=200&name=Incentive%20compensation%20metrics%20workflow%20Bentega.png)](https://www.bentega.io/blog/performance-metrics-for-incentive-compensation-what-to-measure)

## [Incentive compensation metrics by role: what should you measure?](https://www.bentega.io/blog/performance-metrics-for-incentive-compensation-what-to-measure)

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