Marketing analytics that ties ad spend to real revenue
Your dashboards are full of conversions, and none of them tell you which campaigns produced customers who actually paid. I close that gap: closed-loop attribution, offline conversion tracking, and measurement that survives consent, so you scale what makes money.
Top Rated · 100% Job Success · 5.0 ★ · 22 Upwork contracts
Quick answer
Marketing analytics, the way I do it, means connecting ad spend to real outcomes instead of vanity conversions: closed-loop attribution, offline conversion tracking from your CRM or booking system, and consent-mode measurement. The result is one number you can trust and bid on, verified in the account, not a prettier dashboard.
Pick the one that matches your problem
Offline conversion tracking
Connect your CRM, EHR, or booking system and your phone calls to Google Ads, so it counts the customer who actually paid, not the form fill. The closed loop that lets bidding chase revenue.
See how it worksPrivacy-firstConsent-gated measurement
Measure conversions and revenue when most visitors reject tracking: server-side truth, consented journeys measured, the opted-out share modeled and labeled honestly. Nothing invented.
See how it worksThe measurement your bidding has been missing
Closed-loop attribution
Every lead keeps its real source from click to closed deal, through form fills, phone calls, and the CRM stage where money actually changes hands.
One source of truth
Your ad platforms, GA4, and CRM stop reporting three different numbers for the same campaign. I reconcile them into one you can bid on.
Calls counted, not guessed
Phone leads carry the same click id as web leads, so a call and a web booking land in one attribution model instead of two disconnected ones.
Consent-mode and privacy
Measurement that respects rejected tracking and, where it matters, keeps regulated data out of the analytics layer entirely. HIPAA-conscious when the account needs it.
Value-based bidding
Once real revenue flows back long enough to trust, I move bidding from lead count to value, so the platform chases dollars, not cheap form fills.
Verified in the account
I confirm conversions land by reading the diagnostics and reports, not the optimistic banner in the UI. The banner lies early. The data does not.
Read the loop built end to end
Client details removed, the engineering kept. See how attribution was rebuilt and offline conversions were closed on real accounts.
The tracking, the ads, and the integration held by one engineer
- Shipped to production for a US practice: web bookings and phone calls tied back to spend.
- Top Rated on Upwork, 100% Job Success and 5.0 across 22 contracts.
- One person owns the tracking, the ad account, and the data pipeline, so the loop closes instead of getting lost between three vendors.
- Privacy-first by default: consent respected, and regulated data kept out of the analytics layer where it matters.
Common questions
What is marketing analytics, the way you do it?
It is connecting ad spend to real outcomes instead of vanity conversions. That means closed-loop attribution (every lead keeps its source to the closed deal), offline conversion tracking (the CRM or booking outcome uploaded back to the ad platform), and consent-mode measurement (accurate numbers even when visitors reject tracking). The goal is one trustworthy number you can bid on, not a prettier dashboard.
How is this different from just having GA4 and the ad pixels?
GA4 and pixels count events on your site: form fills, button clicks, page views. They cannot see whether that lead became a paying customer in your CRM three weeks later, and they lose the source across subdomains and embedded widgets. Marketing analytics closes that gap so the platform optimizes toward revenue, not toward whatever fires a tag.
Do you work with medical or other regulated practices?
Yes. The offline conversion work was built and hardened on a US healthcare engagement, so it is HIPAA-conscious by default: only an anonymous click id, a value, and a timestamp leave your system, and identifiers are hashed. The same discipline applies to any account where privacy matters.
Which platforms and tools do you cover?
Google Ads, GA4, Google Tag Manager, the Data Manager API for offline uploads, call tracking, PostHog for server-side and consent-gated measurement, and your CRM, EHR, or booking system on the data side, connected with n8n where a custom pipeline is needed.
Where do we start?
With an audit. Most accounts double-count, count form fills as customers, or never capture the click id, so I tell you in plain language what is actually happening before anything changes. From there it is usually a 2 to 4 week build, verified end to end in the account.