FAQ in detail

How this differs from web analytics

These are not competing tools. They answer different questions, and B2B teams usually need both answers.

Two different questions

Web analytics is built to measure behaviour in aggregate: sessions, sources, funnels, conversion rates, which page loses people. It is the right instrument for optimising a website, and nothing here suggests replacing it.

Company identification answers a different question: which organisation was that. It turns a row in a traffic report into an account name you can act on — the company, the pages it read, how often it came back and where it came from.

Why analytics can't answer it

Aggregate reporting is deliberately aggregate. A pricing page with 400 sessions and a 2% form rate tells you 8 people identified themselves and 392 did not, and no dimension in that report can name the companies behind the 392. Even where a report shows organisation-level dimensions, they are not designed to feed a sales workflow.

That gap is where most B2B revenue hides. Buying committees research for weeks before anyone fills in a form, and in a report they are invisible traffic. The point of company identification is to make that research visible at the account level while it is still happening.

What each is good at

Keeping the split clear prevents wasted effort. Use analytics for the questions about how the site performs; use company identification for the questions about who is interested.

A useful rule of thumb: if the question starts with "how many" or "how well", it belongs in analytics. If it starts with "who" or "which company", analytics cannot answer it no matter how the report is sliced.

  • Analytics: traffic volume, channel performance, funnel drop-off, A/B test results, page speed impact.
  • Company identification: which companies visited, what they read, how engaged they are, which accounts came back.
  • Both together: which campaign brought in the accounts you actually want, not just the cheapest clicks.

Running them side by side

Technically they coexist without interfering: both are ordinary tags, and the lead.box snippet is served first-party through your own domain. Expect the numbers to differ — different definitions of a session, different bot filtering and a different scope mean totals will never line up exactly, and neither is wrong for that.

The practical division of labour: analytics stays your source of truth for site performance, lead.box becomes the source for account interest, and the campaign parameters both see let you connect a spend decision to the companies it brought in.

Campaign parameters are the natural join between the two. Both tools see the same utm values, so a click that analytics counts as one session can be read in lead.box as a named account that arrived from that campaign.

Related questions

See the difference on your own traffic

Run lead.box next to your existing analytics for 14 days, free and without a credit card, and compare what each report lets you do.

B2B Lead Identification Platform

lead.box — Identify the companies visiting your website

lead.box turns anonymous B2B website visitors into named companies. GDPR-first, first-party only, with EU data processing.

What lead.box does

How it works

  1. Add a single lightweight tracking snippet to your website.
  2. lead.box identifies the companies behind each visit using first-party IP intelligence.
  3. Hot leads are scored, enriched with contact data and exported as a file for your sales team.

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