Click here to view our instructional video on using a Pave data cut in Market Pricing.

**[Click here to view our instructional video on using a Pave data cut in Market Pricing.](https://www.loom.com/share/3b7d03e2812241b49ae57e4e7269d339?sid=8409d374-83d8-46bc-b226-e167ea96836d)**

**[Click here to view our instructional video on updating a Pave data cut used in Market Pricing.](https://www.loom.com/share/d8284f2659a24666a8163252af4d0b2e?sid=98e68cc7-8691-42de-ab5c-0e539c8b9e36)**

## **Select & save a Pave data cut**

* Navigate to Market Pricing > Data Sources and select “Add Pave data cut"

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001l6X&feoid=00NUn00000C06g9&refid=0EMTV00000EmQmY " =940x205")

 

* Configure your Pave data cut, as you would in the Market Data product.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001l6X&feoid=00NUn00000C06g9&refid=0EMTV00000EmS5B)

* Select job families you would like to include in the data cut. Recommend defaulting to all. [Read more about Pave’s job families here.](https://brainfi30.brainfish.ai/en-us/articles/job-families-l3kkOFw21D)
* Select levels to include in the data cut:
  * **Professional Levels: (P1, P2, P3, P4, P5, P6)** 
  * **Manager Levels: (M3, M4, M5, M6)** [Read more about Pave’s levels here.](https://support.pave.com/s/article/Job-Levels)

## **Select the market filters**

* Select company status:
  * **Private & public companies**
  * **Private companies**
  * **Public companies**
* Select the locations you would like to include in the data cut, usually a location per pay zone.
* Select the companies you want to benchmark against using the following company stage filters (**up to 5**)

## **Select the data elements to include in the data cut**

 

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001l6X&feoid=00NUn00000C06g9&refid=0EMTV00000EmSQ9)

* Select and map Pave’s pay types to your band pay fields in Market Pricing so that you can benchmark each of your pay types against Pave’s pay type benchmarks.
  * **Base** - The fixed cash component → Typically this maps to Base Pay in Market Pricing
  * **Target Variable Pay** - Includes commission or bonuses → Typically this maps to Variable Pay in Market Pricing
  * **Total Cash** - All cash components of an employee's total compensation (includes base and variable). Typically this maps to Total Pay in Market Pricing

For equity, you can select the **Timeframe** (Total or Annual) and the **Grant Value** (Actual or Intended).

The equity pay types you can select to include in your Pave data cut are:

* **Total Equity** - Current value of all the equity grants received by an employee → Typical this maps to Total Equity Value in Market Pricing (Available to all customers)
* **New Hire Equity** - Refers to the value of the first grant received by an employee at the time it was received. Additional grants and stock appreciation are not included in the calculation of New Hire Equity → Typically this maps to New Hire Equity Value in Market Pricing (Available to all customers)
* **Refresh Equity** - Refers to the value of the non-new hire grants received by an employee in the past 12 months → Typically this maps to Total Equity Value in Market Pricing. (Available to Market Data Pro Customers)
* **Unvested Equity** - The current value of all the equity shares received by an employee that have not yet been vested. (Available to Market Data Pro Customers)
   

Equity settings: Choose how to represent the **New Hire** and **Refresh Equity** (Gross, Net, 409a, Equity Ownership %, or RSU/Option ratio). 
 

* Select Cash & Equity Currency:
  * **Cash**: You can choose to represent the cash pay types in either local currency or USD $.
  * **Equity**: Equity currency defaults to Company currency, and if company currency is not available, it will default to USD $.

**\*You do not need to select percentiles, all percentiles will be included by default.\***

Give your data cut a unique name so you can reference it later and add any tags to use to easily find the data cut in the “Data Sources” tab after you save it.

## **Save your data cut**

* **Select “Save data cut & export”** - You’ll receive an email when the data cut is ready to use in Market Pricing, with a link to export the data cut as well.
* **Select “Save data cut”** - You’ll receive an email when the data cut is ready to use in Market Pricing.

## **Update Data Cut or Create New Survey Cut from Latest Pave Data**

* To view the data cut details or export, select the three dot menu on the survey.

   ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001l6X&feoid=00NUn00000C06g9&refid=0EMTV00000EmT4T)

  **\*Effective date of survey represents what month the data was released in. Pave releases new versions of their data monthly on the 1st Monday of every month.\***
   

If within the same month of the cut effective date (meaning a new Pave data cut has not been released), you can edit your existing data cut to include additional data.

* **Example:** To add a location or a pay type, Select “edit,” change the configuration, and save.

If new Pave data is available, a “new data available” badge will be visible. Select this to create a new data cut with the latest Pave data from the most recent effective date. You will not be able to edit your old Pave data cuts, but can still use those data cuts in Market Pricing.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001l6X&feoid=00NUn00000C06g9&refid=0EMTV00000EmF1W)

## **Use Saved Data Cut to Benchmark Jobs & Update Bands**

Navigate to Market Pricing > Benchmarking tab > Job Mapping to select this survey to use to generate benchmarks for your jobs and use those benchmarks to generate or update your bands.

 ![](https://support.pave.com/servlet/rtaImage?eid=ka0TV0000001l6X&feoid=00NUn00000C06g9&refid=0EMTV00000EmT9J)

## **Managing Paid Data Cuts Walkthrough**

Manage Pave data sources

Pay Types: Calculated TDC, Annual Equity, and Refresh Equity

Band Sets

Employee Distribution in Bands

Editing Bands

View changes

Upload/Download Bands

Unmatched Employees

Calculated Columns

Managing & Reordering Calculated Columns

How to duplicate band sets

Survey aging

Edit and apply benchmarks

Set weights and logic

Map data sources to jobs

Supported survey providers

Manage survey data sources

Benchmarks overview

Step 2: Benchmarking

Bands Set Audit Log

Manually Create New Band Sets

Job Architecture 101

Pay Zone Manager

Grades

Setting up Company Job Architecture

Company Job Architecture

Step 1: Build Foundation

Generate Bands from Market Data

Bulk & Manually Associate Market Data to Bands

Step 3: Update Ranges

Generate Bands for New Jobs in Your Job Architecture

Compare Bands

Relative Permissions

Advanced Filters

Ongoing Management & Analysis

Market Pricing

Market Data Connections Set up

Market Data Connections Overview

Integrations 101

Integrations

Adding Columns

Team View Overview

Team View Column Configuration

Team View Customizations

Re-ordering Columns

Deleting Columns

Team View Settings

Team View

Comp Planner Configurations Overview

Compensation Planner 101

Getting Started - Compensation Planner

Compensation Planner FAQs

Cycle Specific Permissions

Employee Eligibility

Step 1: Initial Cycle Setup

First-Class Columns

Using Handlebars Formula for Calculated Columns

Columns

Step 2: Column Configuration

OTE Planning Configuration Guide

What is OTE Planning?

Step 3: OTE Planning

Am I able to update or change approval chains during a cycle?

Updating Approval Chains

Compensation Cycle Data Upload

Step 4: Data Management

How can I configure market adjustment recommendations for employees?

How can I configure variable raise recommendations for employees?

Recommendation Logic

What are Recommendations?

Step 5: Recommendation Logic

Budgets

Budget Dashboard

Top Down Budgets: In-app Configurations

Step 6: Budget Confirmation

Planning Windows Setup Guide

Planning Windows Overview

Monthly & Hourly Pay

Employee Compensation History Popout

UI Toggles

Filtering & Sorting

Approval Statuses

Step 7: Planner Experience

Smart Flags

Compensation Outliers

Manager Compression Flag

Vesting Drop Flag

Step 8: Controls & Governance

Peers Overview

Cycle Outcomes

Value Rounding in Compensation Planning

In App Reward Letter Editor

Reward Letters

Peers Configuration Guide

Cycle Progress Dashboard Overview

Other Cycle Actions

 Compensation Planner

Logging In

Custom Role Creation Guide

Creating an Account

How to add a colleague to Pave’s Market Data Platform

Market Data Role Management

Why does it matter to get levels and role families right?

SSO Configuration Guide

Account Setup

Contact Us

How much does Pave Market Data access cost?

How does Pave Work?

Intro to Pave

Pave 101

Compensation Philosophy

Total Compensation

Compensation 101

The Stock Option Lifecycle

ISO Tax Implications

The Basics of Stock Options

The Confusing AMT (Alternative Minimum Tax)

ISO Strategies

An Overview of How Stock Options Work

Equity 101

Account Creation Troubleshooting and FAQs

How to Benchmark Executive Compensation

Login Troubleshooting and FAQ

How does company size affect which department, job family and job level I should choose?

How does Pave determine a role level and role family?

What are Job Levels, Departments and Job Families? Why are they important?

Troubleshooting Rippling Zero Records Error

What Market Data Connections does Pave currently support?

FAQs

Getting Started

Option Driver Deprecation FAQs

Option Driver

Option Impact Deprecation FAQs

Option Impact

Option Impact & Option Driver

Executive Reporting Dashboard

Cycle Monitoring and Reporting

Building Market-Based Compensation Bands

Employee Groups

Cycle Configuration

How does Recommendation Logic work?

Am I able to change another user’s permissions or login credentials while impersonating?

Manage Pave data sources

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Manage Pave data sources

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