Systems

Reconciliation · this month

Ad spend−$3,740MismatchBilled invoices

Back office · last 24 hours

Order arrived twiceNot re-bookedMatched to the open order

Attribution · last 30 days

Paid social$86Claimed $184Introduced the customer, day 1

Reconciliation · this month

Sales$0.00ReconciledProcessor payoutsAd spend−$3,740MismatchBilled invoicesLanded cost—ReconcilingPO + receipt

Attribution · last 30 days

Paid social$86Claimed $184Introduced the customer, day 1Retargeting$57Claimed $184Brought them back, day 6Branded search$41Claimed $184They already knew the brand

Back office · last 24 hours

Order arrived twiceNot re-bookedMatched to the open orderSupplier feed stalledRecoveredResumed where it stoppedFailed a customer ruleCaughtStopped before it went out, corrected

Agent run · ticket 2214

DecideApplied the returns policy8 days left of 30 · under the refund capVerifyEvery fact checked3 of 3 verified · nothing generatedAuditRun logged and traceable6 steps · every action inside policy

Production readiness

Rollback worksPassRehearsed, 40 secondsYour team can run itPassDry run, no otum handsRestore at full scaleTestingRunning now

Work

Contact

Marketing attribution

Know which channels actually bring you customers

We build a first-party attribution system into your own stack. It follows the full journey to the sale, credits each channel with real models instead of last click, and feeds the truth back to your ad platforms so they optimise on what actually works.

See our work

Challenge

Every platform takes credit for the same sale

Every ad platform reports the same sale, so the numbers never add up and none of them describe the real journey. Last click, the default everywhere, hands all the credit to the final touch, so branded search and retargeting look like heroes while the channels that bring new customers look like waste.

And it is getting harder to even see. Cookie loss, device privacy changes, and ad blockers have quietly eaten a chunk of the signal, so the platforms bid on a shrinking, biased sample. Google's own tool makes it worse, below a few hundred conversions a month its data-driven model silently falls back to last click.

So the one question that matters, which channels actually bring the customers, is the one your dashboards can't answer.

What we do

The four questions your ad spend depends on

Let's find out

Not sure which of your channels actually pay off?

Where did your customers actually come from?

Every conversion traced back to the channel and campaign that truly started it, not the last click that happened to close it.

Which channels deserve the credit?

The real contribution of each channel, shown across more than one model, so no single platform's self-report gets to mark its own homework.

How did they get to the sale?

The full path each customer took, every touch across every channel, in one place.

How do you find more like them?

The true value fed back to your ad platforms, so they go find more of the customers who actually convert.

We build into the stack you already run, your site, your ad channels, and your data warehouse.

Google Ads
Meta
TikTok
Pinterest
Amazon Ads
Walmart Connect
Reddit
Roku Ads
Your Ad channel

Tell us your ad channels

How we build it

Measurement that survives the next platform change

The hard part isn't the model. It's building a signal clean enough to trust, and keeping it yours. Here is the standard we hold to.

First-party

First-party and server-side

Collection runs on your own domain, server-side and consent-aware, so it survives cookie loss, ATT, and ad blockers. You measure on a fuller, cleaner signal than the pixel ever gave you.

Your own domain
Server-side
Consent-aware

Identity resolved to real people

Each touch is stitched to a person by the identifiers they hand you at checkout or booking, not by probabilistic guesswork. Match rate matters more than any model, and this is where accuracy is won.

Multiple models, no black box

Last click stays as the baseline, alongside data-driven models like Markov and Shapley, side by side. You see exactly how last click was lying, instead of trusting one number you cannot inspect.

The loop is closed, exactly once

The modelled value goes back to your ad platforms, exactly once, so their bidding optimises toward real revenue instead of the degraded pixel view. This is where CAC actually moves.

You own all of it, outright

The code, the data, and the identity graph live in your stack and belong to you. No per-revenue tax, and nothing that walks out the door when a vendor is acquired or triples its price.

Proof

A sample of what we've shipped

All case studies

DTC E-commerce7 min read

Lower CAC at Scale With First-Party Multi-Touch Attribution and Revenue Feedback to the Ad Platforms

First-party, server-side tracking and data-driven attribution that reveal which channels truly drive new revenue, then feed that value back to Google and Meta so the algorithms optimize on reality, not last click.

-22%Blended CAC after reallocating to truly incremental channels

Multi-Touch Attribution
Rust
ClickHouse
Meta CAPI
Google Ads

Read

Dental6 min read

Lower Cost Per Booked Patient by Attributing Ad Spend to Real Treatments, Not Form-Fills

First-party attribution that connects each ad click to the appointment booked in the practice system and the treatment that follows, then feeds that real value back to Google and Meta.

-30%Cost per acquired patient

Multi-Touch Attribution
Google Ads
Meta CAPI
Dental

Read

The market already knows the numbers can't be trusted. We build the ones that can.

75%

Three out of four marketers say their measurement isn't delivering the accuracy or trust they need.

IAB and BWG Global, State of Data 2026

Engineering edge,
without hiring a team.

Numbers you can trust, operations that run themselves, all built into your stack and owned by you. Tell us where you want the edge, and we'll build it.

Quick response
You'll hear from an engineer the same working day, not a sales sequence.
Clear next steps
A short call, then a plan, and we start with Proof Week or a full build.
Fixed fee first
A fixed fee agreed before anything starts, for Proof Week or the full build.