Think inside your AI world.
Which campaign actually drove revenue?
After a good quarter, every campaign wants the credit, and the revenue that followed is happy to be claimed by all of them. “Drove” is the slippery word: revenue that coincided with a campaign is not revenue the campaign caused, and the gap between the two is where budgets get misallocated for a year.
Coincident revenue is easy to claim and hard to earn. Sorting driven from merely-nearby needs a rule for what counts as contribution — a bar a campaign must clear before the revenue is credited to it. Unl holds that rule, so “which campaign drove revenue” returns credit assigned by the standard you set, not by whichever campaign ran closest to the good news.
Why does coincident revenue get over-claimed?
Because proximity reads as cause, and everyone is motivated to see it that way. A campaign that ran in a quarter where revenue rose will present the two facts side by side and let the adjacency imply the link. In aggregate this means the quarter’s revenue gets claimed several times over, and the sum of everyone’s credited impact wildly exceeds the actual revenue.
The corrective — a rule for what counts as a campaign genuinely contributing — is rarely stated, so there is nothing to deflate the claims against. Without a bar, credit flows to confidence and narrative, and the budget follows the credit into channels that were bystanders to the revenue they are being funded for.
What does a contribution rule do?
Lars, running growth for a B2B tool, ratified a rule that defines driven: a campaign is credited with revenue only from accounts that took its tracked action within 14 days before converting, because beyond that window the causal claim is too weak to fund on. Asked which campaigns drove revenue, the read applies the rule and returns credit that sums to reality: “the webinar drove £40k by your 14-day rule; the always-on display campaign claims £30k but clears the rule on only £4k.”
The 14-day tracked-action rule is Lars’s decision about what counts as causal enough to fund, and it is what separates driven from coincident. A model can list the campaigns and the revenue near them; it cannot assign honest credit, because the contribution bar is not in the data. The frame judges the data it is given; it does not verify the source’s accuracy.
What does honest credit change?
Where next quarter’s money goes. Once display’s £30k claim collapses to £4k under the rule, its budget is exposed as funding a bystander, and the webinar’s confirmed £40k earns the reinvestment. Credit assigned by a rule, rather than by narrative, moves budget toward what actually caused revenue.
And the rule is revisable: if you later decide a 30-day window better fits a long sales cycle, you ratify the change and every campaign’s credit is recomputed against it. “Which campaign drove revenue” stops being a claiming contest and becomes a verdict against a definition of driven that everyone is held to.
Revenue that coincides with a campaign gets over-claimed as revenue it drove, and the claims sum past reality; measured context holds the contribution rule you ratified — what counts as causal enough to credit — and assigns revenue to the campaigns that clear it, so budget follows cause rather than narrative.
Reads through Unl arrive with measured context — in the presence of the decisions you’ve already settled. The reach lane is live: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
Read further
Questions people ask
Which of my campaigns actually drove revenue?
Whichever clears the contribution rule you set — not whichever ran nearest the good quarter. Revenue that coincided with a campaign isn’t revenue it caused, and without a bar the claims sum past the actual revenue. Read against a rule, e.g. credit only accounts that took the campaign’s action within 14 days of converting, credit lands where it’s earned.
Why does every campaign claim the same revenue?
Because proximity reads as cause and everyone’s motivated to see it that way, so a quarter’s revenue gets claimed several times over. The corrective is a rule for what counts as genuine contribution, which is rarely stated — so credit flows to narrative and budget follows it into channels that were bystanders.
Can AI attribute revenue to campaigns?
It can list campaigns and the revenue near them; it can’t assign honest credit, because ‘driven’ is defined by a contribution rule you set, not a fact in the data. Measured context holds that rule so credit sums to reality. The reach lane is live: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.
What this is
Think inside your AI world — you stay in command
Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.
It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.
Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:
Alpha is invite-only · free at launch.