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Company Profile Settings in Kamsa

Learn how to manage your company’s revenue target, job levels, Market Data Cut Approach, integrations, performance ratings, and compensation philosophy in Kamsa.

Written by Kamsa Support

Company Profile Overview

The Company Profile is where you set up and manage key company-level settings, such as revenue target, compensation philosophy, job level structure, performance rating scale, integrations, and equity details.

The Company Profile can be found in the main menu on the left. It is only visible to roles with view or edit permissions for Company Profile.

To update any information, click Edit Company Profile.

General Information

In this section, you can manage the following company information:
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Revenue Target

Enter your company’s estimated revenue for the year.
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Kamsa provides revenue-based Market Data Cuts for different company revenue ranges.

Revenue-based Market Data Cuts should be used only for U.S. executive roles at the VP level and above.

Updating the revenue target automatically changes the Market Data Cut used to price executive jobs in the U.S.

CEO of the Company

Select the employee who serves as your company’s CEO. This field is required.

Performance Rating Scale

Your Performance Rating Scale determines the default rating options available when creating a Comp Review Plan and budgeting for merit increases.

To change the names of your performance ratings, click Customize Naming.

Job Level Structure

You can select the job level structure that best fits your organization.
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Standard View (default)

  • Manager and IC levels are staggered (e.g., M3 aligns with IC4).

  • Manager levels range from M1 to M6.

  • Most Kamsa customers use this view.

Modified View

  • Manager and IC levels are aligned (e.g., M4 aligns with IC4).

  • Manager levels range from M2 to M7.

Market Data Cut Approach

Your Market Data Cut Approach determines how Kamsa assigns Market Data Cuts to employees by default.

  • Local Market Data

  • Geographic Differential

Choosing an Approach

  • If most of your workforce is outside of the U.S., we recommend using Local Market Data.
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  • If most of your workforce is inside the U.S., we recommend using the Geographic Differential approach.

Recommendation: For U.S.-based executive roles (VP and above), match them to your company’s Revenue Cut (set in Company Profile), such as <$50M revenue, $50M–$199.9M revenue, etc.

You can change your Market Data Cut Approach at any time. However, before switching, we recommend exporting an Employee Data report in case you need to revert back. This report captures the prior Market Data Cuts for each employee.

📺 Learn more about the Market Data Cut Approach.

Local Market Data

When using Local Market Data, Kamsa matches employees to market data based on their Country and Work Location.
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Whenever you add a new employee or update an employee’s location, Kamsa automatically updates their Market Data Cut on the Employee Data page.
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Examples:

  • An employee in London, UK will be matched to the UK – Inner London Market Data Cut.
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  • An employee in New York City, U.S. will be matched to the New York City Area Market Data Cut.


Geographic Differential

When using the Geographic Differential approach, employees are matched to US (All) data with an adjustment (premium or discount) applied based on location.

This approach is commonly used by companies with a primarily US-based or remote workforce. Geographic differentials incorporate cost of labor and cost of living data and are updated at least annually.
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Guidelines:

  • Use a 60-mile radius around major U.S. metro areas.

  • Example: An employee within 60 miles of San Francisco will be matched to US (All) – 115%.

  • Example: An employee in Singapore will be matched to US (All) – 90%.

Comparison Chart

Feature

Local Market Data

Geographic Differential

Best for

Companies with workforce mostly outside the U.S.

Companies with workforce mostly inside the US (including remote teams)

How employees are matched

Based on Country + Work Location

Based on US (All) data with a premium/discount applied

Examples

London → UK – Inner London

Singapore → U.S. (All) – 90%

Updates when employee data changes

Auto-updates when Work Location or Country changes

Auto-updates when Work Location or Country changes

Recommended for executives

Still match VP+ jobs to your Revenue Cut

Still match VP+ jobs to your Revenue Cut

Integrations

Integration keys and configurations are managed in this section. See Kamsa's list of integrations.

Compensation Philosophy

Here you can edit your target percentiles for Technical and Non-Technical jobs.
These settings determine the target market values shown on your company's Market Compensation page.
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You can also add customizations by job family:

  1. Click Add Customization.

  2. Select the Job Family.

  3. Choose the desired percentile and click Continue.

For example, if roles in the Business Intelligence Analyst job family are consistently difficult to hire, you could set a higher target percentile for that job family.
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When you make a customization, Kamsa recalculates Compa-Ratios for employees matched to that Job Family. Open Jobs in that family will also use the customized compensation philosophy.
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To remove a customization, click Remove Customization.
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How to Change Your Target Market Percentile

You can update your target market percentile directly in the Company Profile.

Steps:

  1. Go to Company Profile and click Edit Company Profile.

  2. In the Compensation Philosophy section, select your desired percentile for Technical or Non-Technical job categories.

  3. Click Save Changes on the left.

📌 Tip: If you want to apply a different philosophy to a specific job family, you can create a Customization:

  • Click Add Customization.

  • Select the Job Family.

  • Choose the desired percentile.

  • Click Save Changes.

When you click Save Changes, Kamsa applies all updates. After saving, make sure to:

  • Verify the executive Market Data Cut if you updated revenue target.

  • Check Compa-Ratios if you changed compensation philosophies.

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