ai for marketing attribution. a layer that reads your ad clicks, form fills, and paid invoices from one place, matches each closed deal back to the channels that touched it, and tells you what revenue each channel actually produced. not last-click. not a modeled guess in a dashboard. the real path from spend to dollars.
you run marketing at a mid-market saas. you spend across google ads, linkedin, and content. ga4 shows sessions. hubspot shows leads. Stripe shows revenue. none of them talk to each other, so nobody can say which channel paid for itself. this post is about the layer that joins those three and answers that question.
#why can't my current tools tie a channel to revenue?
how does ai tie marketing channels to revenue?
it pulls campaign and click data from ga4, contact and deal data from hubspot or salesforce, and paid-invoice data from Stripe, then matches each closed deal back through the touches that preceded it. instead of last-click credit inside one tool, you get one table: spend by channel next to the revenue that channel actually closed.
each tool sees one slice. ga4 stops at the session and drops the person once they convert. hubspot knows the lead but not the cash. Stripe knows the cash but not the ad that started it. the gap between them is where your budget disappears. the ai layer sits across all three and closes the join that no single tool was built to make.
#we pay three agencies and nobody can tell us what's working. does this fix that?
that sentence is the whole reason this exists. three agencies, three dashboards, three claims of credit for the same deal. add them up and you have attributed 300% of your pipeline. the layer we build reads from the same ga4, hubspot, and Stripe your agencies bill against, then hands you one number per channel that they can't inflate because it reconciles to closed revenue in Stripe.
the argument stopped being about whose dashboard was right. it became one table everyone read the same way.
#what exactly does the layer plug into?
- ga4 or your ad platforms supply spend, campaigns, and click paths. we read them, we don't replace them.
- hubspot or salesforce holds the contact and the deal. we match each deal to the touches that preceded it.
- Stripe is the source of truth for revenue. every channel number reconciles to a paid invoice, not a modeled estimate.
- the join lives in a workflow you own. no new dashboard subscription, no data locked in a vendor you can't leave.
we deliver this through our build service: end to end on one workflow, and the code is yours at the end. it is data plumbing, not another seat you rent forever. when the engagement closes you keep the pipeline that stitches ga4, hubspot, and Stripe, and you can read it without us in the room.
we are
stennir builds an attribution layer on top of the ga4, crm, and Stripe accounts you already pay for, and hands you the code so the model stays yours.
we aren't
stennir is not a marketing analytics saas you subscribe to, and it is not another agency dashboard that claims credit for every deal it touched.
#how much wasted spend does this actually catch?
the honest answer: it depends on how split your spend is, and we won't pretend to a number we haven't measured for you. what we can say is that once revenue is joined to channel, the pattern is consistent. one or two channels carry most of the closed dollars, and a chunk of budget sits on channels that generate sessions and leads but no paid invoices in Stripe. you cut that chunk first.
we're new, and we say so plainly. the build terms on the consultancy page are real: fixed scope, one workflow, code yours. if attribution is the workflow costing you the most right now, book a 30-min discovery call. bring your ga4, hubspot, and Stripe access, and we'll map the join before you commit to anything. you can also read how we've stitched other teams' data in the journal.