Accurate, reliable benchmarks tailored to a niche industry and location
For Plastometrex, operating in a highly technical and specialised industry means finding reliable salary benchmarks can be difficult on the best of days. Roles such as material scientists and hardware engineers don’t always fit neatly into generic data sets.
“We’ve always had some difficulty inside the business locating reliable benchmarks for the roles that we have, making it difficult to justify our own decisions around what the salaries should be.” explains James.
“It’s always been a finger in the air situation when it comes to salaries – going with what we think the market is roughly paying for these people.”
In these early days, James used the likes of Glassdoor as a compensation data source – an unreliable source of salary data that doesn’t verify the information submitted by users. But for very specific and technical roles, even this was hard to find.
“It was next to impossible to find benchmarks I could trust for these specific roles,” says James.
“Sometimes you might have thousands of people that have contributed to the average salary mark on Glassdoor. Other times, only three people.”
“You never really know how confident you should be in any of those data sets because they’re so varied.”
Adding to the complexity was Plastometrex’s location. Based in Cambridge, a higher-paying region outside of London, the company had difficulty navigating the gap between national averages and local expectations.
“We were paying substantially above the national average” says James, “but hadn’t fully understood the Cambridge premium”.
“We knew Cambridge might be an outlier to the rest of the region, but I didn’t realise just how different it was relative to national averages.”
This is when James knew he needed to find a tool to help him. Between Glassdoor, other internet sources, and talking to recruiters who naturally inflate salaries for commission – James was at a loss to find data that reflected the right industry, location, and point in time.
In 2024, Plastometrex reached out to Ravio. After seeing our comprehensive, real-time dataset, James very quickly realised the value Ravio could provide.