A sale value somebody typed in is a claim. The invoice is the evidence.

Lead tracking tools let a business record a quote or a sale value against each lead, and the reports that follow rank sources by those values.

The values are only as good as the person entering them, on the day they entered them. Some are estimates, some are the first quote, some are forgotten entirely.

Matching the leads against the invoices produces the real figure beside the recorded one, per source.

Where the two agree, the recorded values can be trusted for that source. Where they diverge, the report shows which way and by how much.

The divergence is rarely random. Sources whose leads are quoted large and invoiced small tend to be the price-sensitive ones, which is a finding in itself.

A prospective customer often calls, then fills in a form, then calls again from a different phone. A lead tracker records each as a lead, which is correct for its purpose.

For revenue, it overstates the channel: three leads, one customer, one invoice.

The report matches on the person, collapsing contacts that share a phone number or an email, so each customer is counted once and credited to the source that produced them first.

It also reports how many contacts the average customer made before buying, per source, which is a useful measure of how much convincing each channel's customers needed.

Agencies often run a lead tracker for their clients and report leads and recorded values as the result of their work.

Clients increasingly ask the obvious follow-up question: which of those leads became revenue.

The client's own invoices answer it. Exporting them and matching them against the tracker's lead file gives the agency a number the client can check against their own books.

That is a stronger report than any lead count, and it is also the one that survives a client asking whether the agency is grading its own work. It is harder to produce, which is part of why it is worth more.

A phone call is usually a person ready to talk about a job. A form might be a question. A chat might be a price check.

Pooled together, the lead count mixes them and the revenue per lead describes none of them.

Ranked separately by type and by source, the picture sharpens: a channel that produces mostly chats may look busy and produce little, while one producing few calls may produce most of the money.

The report keeps the type on every row for exactly that reason.

It also helps with staffing. If calls from one source convert and chats from the same source do not, the answer may be who answers the chat and how fast, rather than whether to keep paying for the source at all.