The Honest Guide
Website visitor identification match rates: what’s actually realistic
Every vendor quotes a match rate. Almost none of them explain what the number means, what it was measured on, or why yours will be different. Here is the version we would want to read before buying.
Person-level visitor identification typically matches 5–40% of B2B website traffic, and company-level identification roughly 30–65%, based on published vendor and reviewer estimates. Rates vary widely by audience: US desktop traffic matches far better than EMEA, APAC, mobile, or VPN traffic. Any vendor promising to identify every visitor is overstating what the technology can do.
Start from the uncomfortable number
According to Factors.ai’s guide to visitor identification, about 98% of website visitors never fill out a form, and published match-rate estimates land around 5–40% for person-level identification and 30–65% for company-level identification. Those are wide ranges because the honest answer is “it depends on your traffic.”
Independent reviews say the same thing. Satellyte’s 2026 review of RB2B put it plainly: “RB2B’s match rate on US visitors is materially higher than on EMEA or APAC visitors” and “match rates vary wildly by ICP.” If your buyers are US-based desktop users at identifiable companies, you will land near the top of the range. If they are global, mobile-heavy, or privacy-conscious, expect the bottom.
Person-level vs company-level identification
Most confusion about match rates comes from mixing these two up. They are different technologies with different ceilings.
| Dimension | Person-level (“who exactly”) | Company-level (“which company”) |
|---|---|---|
| What it returns | A named individual (name, work email, LinkedIn profile) | The company behind the visit (firmographics, not a person) |
| Typical published match rates | Roughly 5-40% of traffic, per published vendor and reviewer estimates | Roughly 30-65% of traffic, per the same published estimates |
| Example tools | RB2B, Vector | Leadfeeder, Koala, Warmly, Lumitra |
| Where it breaks down | Non-US traffic, personal devices, VPNs, consumer ISPs, privacy browsers | Remote workers on residential ISPs, mobile carriers, shared office networks |
| Privacy posture | Person-level reveal is the most privacy-sensitive category; treat US-only claims and consent requirements carefully | Company-level inference is generally considered lower risk, but review with counsel for your regions |
Match-rate ranges are published vendor and reviewer estimates, not guarantees. Measure on your own traffic before buying. For a tool-by-tool comparison, see our guide to the best website visitor identification software.
Five questions that expose a real match rate
What match rate do you get on traffic like mine?
Ask for numbers segmented by region and audience, not a single headline figure. A vendor quoting one global percentage is averaging away the answer you actually need.
Is that person-level or company-level?
Vendors sometimes quote a blended number where most matches are company-level. If you are buying person-level reveal, ask for the person-level rate on its own.
How do you count the denominator?
Matched visitors divided by all visitors is a different number than matched visitors divided by US desktop B2B visitors. Make the vendor state the denominator.
Can I run a trial on my own traffic before paying?
Match rates vary so much by audience that the only number that matters is the one measured on your site. Reputable vendors will let you verify it.
What happens with the visitors you cannot identify?
Most of your traffic will not be identified by anyone. Ask what the product does with anonymous sessions: discards them, or keeps the behavioral timeline so context is ready if that visitor later converts.
How Lumitra treats the visitors nobody can identify
Lumitra’s visitor intelligence is built around the match-rate reality instead of against it. Anonymous sessions are not thrown away: they are stitched into multi-session timelines, enriched with company context where a match exists, and connected to GTM agents that act inside your CRM only after existence checks, validation, and optional human approval. When an unknown visitor later becomes known, the history is already there. If you are comparing person-level reveal tools specifically, our RB2B alternative breakdown covers the trade-offs.
Measure it on your own traffic
Book a 30-minute demo and we’ll show you exactly what Lumitra identifies on your site, what it doesn’t, and what happens with both.