How is Salary Confidential different from a compensation benchmarking service?

Benchmarking services aggregate large, pre-collected datasets that are updated infrequently and limited to standardized roles or industries.

How it works here

Salary Confidential works the other way around: it builds fresh, on-demand datasets based on your exact peer definition.

You choose the peers, the roles, and the scope — the platform provides the infrastructure, privacy controls, and data handling.

Why it’s different

Because every Survey is user-initiated, the data you receive is specific, current, and contextually grounded.
Traditional benchmarks are static and generic; Salary Confidential’s results are live and peer-defined.
Instead of paying for access to someone else’s stale dataset, you’re funding the creation of your own — ethically sourced, privacy-safe, and immediately useful.

The data you acquire is not ambiguous: You surveyed people in tight focus.

In benchmarking services, what you acquire is usually a range: this (general role) at (this company) makes between (x and y). The problem is that, well — are you close to x, or close to y, or somewhere in between? It's not uninteresting that the role sits between x and y, but there can be anywhere from 30% to 100% variance for professionals with about ten years of experience in a given role. That’s quite a gap when you’re trying to decide what line to hold in a salary negotiation.

Even if your Salary Confidential survey comes back with some variance among peers (which it surely will), the very tight scope of your survey means all data points are relevant to you. You can read each one and say, “People very similar to me are making between x and y in the specific [role × industry] I’m looking at — therefore, I’m going to shoot for y. Not because everyone like me makes y, but because I know without a doubt that it’s possible for someone with my profile and in roles with similar characteristics to make y in this role.”

Here’s another way to think about it:
Say you’ve been practicing something creative — cooking, drawing, playing an instrument — for several years. You want to know whether your progress is “good.” It wouldn’t make sense to ask a professional chef or pianist — their context is too far removed — but it also wouldn’t help to ask someone who just a year ago.

What you really want is to compare notes with people who practice about as often as you do, with similar tools, time, and experience. Within that focused group, results will still vary — some ahead, some behind — but they all sit within a range that truly represents you. The tighter the focus, the more every data point becomes a version of yourself: proof that each outcome in that range is possible for someone like you, working under similar conditions.