The analyst function your marketing team doesn't have.

Extra measurement bandwidth without another full-time hire

A second set of eyes across channels your media buyers each only see one piece of

A real, cross-channel picture for leadership — not five dashboards stitched into a deck

Audits built to produce a next action, not just a diagnosis

Finding the waste to cut and the levers safe to scale

The same rigor applied to your agencies and ad-tech stack as to anything in-house

A Google Ads account had been run by the same in-house buyer for six years — results were steady, so nobody had reason to question it. A fresh audit found match types and bid strategies that hadn't been touched since they were first set up, still running on "it's working" rather than any recent evidence that it was working as well as it could.

A brand's Meta and Google buyers were each hitting their own channel targets, but nobody was checking whether the combined spend was actually incremental — a geo-lift test showed a chunk of a six-figure monthly program was paying for sales that would have happened anyway, freeing budget for a real test elsewhere.

A CMO was getting three different decks from three different platforms, each claiming the win for the same conversions — one reconciled dashboard gave leadership a number they could actually act on.

A two-person in-house team didn't have the bandwidth to properly audit the agency running their paid social — an outside audit caught a stale conversion pixel that had been under-reporting purchases for months.

Tracking passed every internal review but still didn't match Shopify — a rebuilt GA4 event taxonomy closed the gap and gave finance a number it could finally trust.

A brand that had capped its best-performing campaign at the same budget for two years out of caution, where an incrementality read showed it still paying back well past that ceiling — so scaling it funded itself within weeks.

GA4 & Shopify Tracking

GA4 and Shopify are both already collecting your data — that was never the problem. What's missing is the layer on top: a clean, consistent event taxonomy so the numbers are right, plus a reporting setup — GA4's Reports and Explorations, Shopify's own Analytics — so those numbers turn into dashboards you'd actually open. Most setups get the first and skip the second entirely.

Reflects Shopify's August 2026 Google & YouTube app update.

Cross-Platform Dashboards

One dashboard instead of five platform tabs that each claim the same conversion. Spend, revenue and contribution reconciled in a single view, with platform-reported numbers shown next to verified ones rather than blended into them. This is Aurelia — the measurement platform behind it.

LTV & CAC Analysis

Your real payback period, by cohort and by acquisition channel — not a blended lifetime value averaged across four years of customers who behave nothing alike. It's the number that decides what you can afford to pay for the next one.

Attribution Modeling

A model you own and can inspect, rather than a rented black box that reports whichever answer favors the platform selling you the media. Documented assumptions, your data, and a credit split you can defend in a board meeting.

Platform = each channel's own self-reported conversions. Model = a documented multi-touch model built from your session and order data — methodology and assumptions shown on request, not a black box.

Ad Creative Analysis

Which creative is actually driving results, separated from the creative that just collects cheap engagement. Ads tagged by format, hook and offer, then read against efficiency so the next production brief is based on evidence.

Predicted at first order from early signals (AOV, product mix, discount depth); validated against realized cohort value as each cohort matures.

Paid Media Audits

A full independent read on what's actually working versus what the platforms report — where spend is double-counted, where the tracking is lying, and what the account would look like if the numbers were trustworthy. Delivered as a written document, not a call.

Incrementality Testing Program*

Geo-lift testing on a standing schedule — no pixel, no platform cooperation, no tracking prerequisites. Markets held out, results measured against control, and a running record of what each channel is actually causing rather than correlating with.

Price Testing & Optimization†

The same experimental rigor, pointed at price instead of media. Price points and promo depth tested against real demand in controlled markets, with the margin effect measured — rather than elasticity argued about in a meeting.

18 matched DMA pairs · 6-week test · $42 baseline · figures per day

Holdout markets receive no price change; margin change measured against them, not against pre/post company performance.

Budget Planning & Optimization

Turning test results into an actual spend plan — how much goes to each channel next quarter, what gets cut, and what the expected return is at each level. An ongoing engagement that updates as new test results land, not a one-time deliverable.