9 free interactive tools — the same arithmetic as the worked guides, with your numbers in the inputs. Every tool shows its formula or rules, and every pre-filled default is a labeled hypothetical example, never a benchmark or a vendor claim.
What is our visitor identification match rate, really?
Compute your visitor-identification match rate from your own traffic: pick one of the four denominators, get the raw rate, subtract false positives with a precision sample, and see how many sessions to ground-truth next.
Will our Content-Security-Policy let this tracking tag run?
Paste your Content-Security-Policy and a tracking tag's snippet and hosts: the checker applies the W3C CSP Level 3 matching rules and shows which script, beacon, pixel or frame request is blocked, by which directive, and what to add.
Did our match rate really drop, or did our traffic change?
Enter sessions and identified sessions per segment for two periods: the calculator splits the change in your overall match rate into traffic-mix shift and real rate change for each segment, and flags which rate changes are bigger than sampling noise.
How many real visits does our tag never record, and why?
Compare the page views your tracking tag recorded with bot-filtered server or CDN log counts, and split the gap into views held for consent (from your consent platform's numbers) and loss nothing else explains, per page group.
Can our reps review every visitor alert before it goes stale?
Enter identified accounts per day, the share that passes your alert filters, review minutes per alert and the time reps set aside: the planner computes whether every alert is reviewed before its deadline, and the filter threshold, headcount or check interval that would make it.
Is this identified visitor a company, or a cloud server or relay?
Paste visitor IP addresses from a vendor export or your server logs: the checker looks each one up in the ranges AWS, Google, Azure, Oracle, DigitalOcean, Cloudflare, Fastly and Apple iCloud Private Relay publish, and says which matches to hold, exclude or stop counting as misses.
Is the second or third enrichment source in our waterfall worth what it costs?
Enter each enrichment source in waterfall order with its price, billing basis and the new matches it returned: the calculator measures every source on the leftover records it actually received, and shows its cost per correct match, the coverage it adds and whether it earns its place.
Do our higher score bands actually convert better, outside the months we tuned on?
Enter the records and outcomes in each lead score band for the period you set the weights on and a later holdout period: the checker shows each band's conversion rate with a 95% interval, and tests whether the top band beats the rest, whether any band is out of order, and whether the score held up after tuning.
What will visitor identification cost at our volume, vendor by vendor?
Enter the companies or visitors a tool identifies in a month: the calculator runs them through the published price lists of Leadfeeder, Leadinfo, Albacross, Snitcher, RB2B, Leadpipe and Happierleads, and shows each tier, the monthly price, the cost per ICP-fit account and the next price step.
Each calculator implements a formula from a worked guide, where the same arithmetic is written out step by step with its assumptions and failure modes. If a number surprises you, read the paired guide linked on the tool’s page — then re-run the tool with numbers from your own analytics property, not a vendor dashboard.