Our founder Jason Krantz has made a career out of helping companies develop data informed decision making capabilities, teams, and cultures. These new capabilities helped take companies to the next tier of performance.
He created Labor Titan using the same real world, battle tested analytical approach. His vision is to revolutionize the compensation process, making it easier and accessible for all companies.
We help you quickly, easily, and confidently answer some of your most demanding compensation questions:
- What are competitive pay rates for key jobs in my local market?
- What steps can I take to mitigate my employee turnover risk?
- Can we reduce the amount we spend on recruiting talent?
- How can we more effectively recruit new employees?
- What are the local wage forecasts for my key jobs?
- Am I paying above or below market rate?
We make it easy to access, understand, and use high quality workforce and compensation information to drive better, faster, more confident compensation, hiring, and retention decisions.
We specialize in compensation benchmarking, forecasting, data, and analytics. Pairing this with our unbiased and systematic analytical approach brings a valuable, independent 3rd party perspective into your compensation activities and credibility to your recommendations.
We forecast metros, also called MSA's. These are geographical regions with a relatively high population density at its core and close economic ties throughout the area. ~85% of US jobs are in MSA’s.
Due to their population density, MSA’s are large enough to reliably segment and forecast with accuracy and confidence. They are also small enough to define a local job market.
We provide non MSA wages via custom requests.
We leverage over 50 public and private data sources in Labor Titan. We run all this data through our advanced models to create our proprietary datasets. We then give you this data in an easy to use web interface. Our goal is to do all the heavy lifting so you can focus on other things.
Access best in class, industry standard job and level definitions so you always know you're pulling the right data. Compare multiple roles side-by-side to triangulate on the right compensation.
