Description
In today’s competitive labor market, having accurate and up-to-date compensation data is essential. The NAW 2024 Compensation Study provides you with the insights you need to make informed decisions.
Why Should You Get the Compensation Study?
- Benchmark Your Compensation: Understand how your salary and benefits compare to industry standards.
- Attract Top Talent: Use data-driven insights to offer competitive packages that attract and retain the best employees.
- Stay Competitive: In a rapidly changing market, having the right compensation strategy is crucial for staying ahead of your competitors.
- Executive Compensation Tool: Gain access to our exclusive tool to optimize your compensation strategy effectively.
You’ll receive:
- Cross-Industry Compensation & Benefits Report– a 60+ page report which includes compensation and benefits related statistics for the most common employee positions in the wholesale/distribution industry. The report includes data from 588 companies representing nearly 9,000 locations.
- Excel Results– a non-abridged version of the survey results. The file reports the data in aggregate form and includes more data cuts than could be reasonably included in the Cross-Industry Compensation & Benefits Report.
- Cross-Industry Company Compensation Report (CCR)–a customized report of your company’s compensation and benefits data shown alongside the appropriate industry comparatives. This report provides you an easy means for interpreting the results, because your own information is provided in a manner that is consistent with the industry calculations.
- Reporting Tools-Interactive online reporting tools that allow users to filter the results by their own selected criteria.
- Executive Compensation Report-examines the compensation statistics and patterns of executives’ pay and benefit plans.
- Executive Compensation Calculator-using regression-based modeling, this reporting tool provides an estimated total compensation figure and expected “pay band” for users, based on selected options (e.g., years of experience, sales volume, education background, etc.)
