Which channels produced closed-won, not MQLs?

The MQL was invented to give marketing a number it could move before revenue arrived. In a market where cycles run two to four quarters, it has become the number teams optimize instead of revenue — and the two have drifted far enough apart that a record MQL quarter can precede a flat bookings year.

The join that would settle it is not complicated: the CRM knows which opportunities closed and for how much, and the ad platforms know which campaign produced the original inquiry. What is missing is anything that reconciles them on the person rather than on a session, which is why the answer usually lives in a quarterly spreadsheet nobody trusts.

CloseRev does that join from two exports. It is not an attribution platform to implement, and there is no tag to deploy on a product surface where security review takes a quarter of its own.

Enterprise buying committees have five to ten people and a dozen touches. Assigning the whole deal to the first or last of them produces a number that is precise and wrong, which is worse than an approximate one that is honest.

CloseRev deliberately does not model multi-touch weightings. It reports the channel that produced the contact who became the deal, and puts everything it cannot trace in Direct / Unknown rather than distributing it by a rule nobody can defend. That is a smaller claim than most attribution vendors make, and it is a claim that survives a CFO asking how the number was produced.

Net revenue retention is the figure a software board studies hardest, and almost all of it comes from accounts somebody acquired one, two or three years earlier. A seat expansion booked this quarter exists because a campaign two years ago put the right company in front of the right rep. The account executive who worked the upsell is credited for it, correctly. The channel that produced the original contact was credited with a first-year figure and then forgotten, which is how demand generation ends up arguing for its budget using the smallest number available to it.

Because the match is held on the contact rather than on a session, running the report across three or four fiscal years attaches every later booking to the channel that produced the first conversation. A source that looked marginal on new-logo bookings alone can turn out to sit underneath a third of the book. It is a different ranking, and it is the one that answers the question a chief financial officer actually asked, which was what the money spent in a past year has earned since it was spent.

The condition is that your export carries the same contact across those bookings, and most systems do, because renewals and upsells are recorded against the account rather than typed in fresh. Export every closed-won line with a contact detail, the booked amount and the close date, and let the report do the joining. Where an expansion was signed by somebody who appears in no lead file, it lands in Direct / Unknown rather than being handed to the acquiring channel on an assumption that nobody could check afterwards.

Nearly every software company has a "how did you hear about us" field on its demo or signup form, and nearly every one of them argues about whether to believe it. Buyers answer loosely: they name the podcast rather than the search that followed it, or they type a colleague's name. Treated as a single source of truth it is unreliable. Treated as one more file to reconcile against closed-won revenue it becomes genuinely useful, because you can see which of those answers precede money and which precede nothing at all.

Add it to the lead file, each row tagged with the answer as its source. Every row is a person with contact details and a label, which is exactly what any other lead export is, so it ranks on closed-won revenue next to paid search and paid social. What may emerge is that two or three of the free-text answers account for most of the value while the rest are noise, and that a channel your ad platform reports as expensive looks rather different once the deals whose buyers named it are counted against it as well.

This also gives you something to do with the answers that are not channels at all. A buyer who writes the name of a community, a newsletter or a peer group is describing demand you did not buy and cannot bid on. Ranked on revenue it either justifies a sponsorship or it does not, and either finding is worth more than the recurring argument about whether the field should exist. Nothing is inferred from a blank answer; a blank stays unmatched and the revenue behind it stays in the unattributed bucket.

Three findings recur. The first is that lead volume and revenue rank the channels differently, often severely: a source producing a tenth of the inquiries carries a quarter of the bookings because it reaches companies with budget rather than companies with curiosity. The second is that the unattributed share is larger than anyone expected, commonly a third, because outbound sequences, community, conversations between operators and inbound from a founder's network are all genuine demand that no advertising account will ever claim credit for.

The third is narrower and more uncomfortable. Campaigns tuned on cost per qualified lead tend to have optimized toward the inquiries easiest to produce, which in software means students, consultants, competitors and people at companies far below the size the product is priced for. Those never appear in a closed-won file at all, so they simply do not rank. Seeing a quarter of a budget sitting against a row that produced no bookings whatsoever is the most common reason a media plan gets rewritten after a first report.

None of that requires a change to how the business operates. Two exports produce the whole thing: closed-won opportunities from the CRM, and whatever lead and campaign files already exist. Because the revenue records were kept for recognition rather than for tracking, a completed fiscal year can be analyzed on the afternoon you sign up. Most teams start exactly there, since a finished year is the cheapest available test of whether this tells them anything they did not already believe about their own spending.