An event with no value.
The algorithm sees a "sale" but not the amount — so it optimizes for small and large deals alike.
End-to-end analytics for your ads
Not a separate paid service — part of running your ads. I build GA4, the pixel with server-side CAPI, and the automation service Make myself, right at the start, so the algorithm learns from real sales and goes after clients who can actually pay. You see the whole customer journey and make budget decisions on real numbers, not on "nice-looking" clicks in the ad account.
What's included
What's included in tracking — and why each part matters
Everything below I set up as part of managing your ads — there are no separate invoices for it.
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Pixel and events (lead, qualified lead, sale). These are the eyes of your advertising: the algorithm optimizes toward exactly the actions you flagged as valuable. Misconfigured events, and the ads learn from junk signals and chase the wrong people.
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Server-side tracking (CAPI). The browser pixel loses a share of conversions to ad blockers and iOS privacy. CAPI sends events straight from the server and recovers that data — so the algorithm sees real leads and sales again, not just a fraction of them.
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Deduplication. So a single sale isn't counted twice — once from the pixel and once from the server. Without it, reports are inflated and decisions get made on false numbers.
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GA4 and unified data. Ads, website, and leads in one picture: you can see which channel and which ad combination actually bring in money, not just cheap clicks.
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Passing sale value. The algorithm receives not just a "sale" but the amount — and learns to tell a $20 deal from a $500 one, so it hunts for the big-ticket deals.
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Automation via Make. When needed, I connect leads, your CRM, and the ad accounts so data flows on its own — no manual transfers, no human error.
Process
How it works — step by step
The tracking is built and read by the same specialist who runs your advertising — most people split these roles, so the data ends up living apart from the decisions. With me it's one job.
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Tracking audit.
I look at which events exist, what's being passed correctly, and where the losses are. Often half the problems surface right here.
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Event setup.
Through Google Tag Manager — lead, qualified lead, sale with the right parameters (value, currency).
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Server-side CAPI.
I connect server-side event sending and deduplication with the pixel, so data isn't lost or double-counted.
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GA4 and connections.
I set up GA4, key events, transaction passing, and the consolidation of traffic sources.
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Verification and dashboard.
I test every event, reconcile it against real leads, and show you a dashboard where the cost per lead and the payback are visible for each campaign. We use it to make concrete decisions: this set of ads brings leads at $4 — scale it; that one at $20 with no sales — switch it off.
Mistakes
Common tracking mistakes that burn budget
Browser pixel only.
Without CAPI the algorithm under-receives some conversions, learns worse, and gets more expensive.
No deduplication.
Sales double up, ROAS looks great on paper, and the decisions are wrong.
"Last-click" attribution.
Channels that bring the customer in early are undervalued — and get switched off for nothing.
Who for
Who this is critical for
End-to-end analytics is a must for anyone paying for ads to generate leads and sales: lead generation for services (where what matters is lead quality, not lead count — CPQL and CAC, not the cost of a click) and B2B (where the cycle is long and you need to see which leads turn into deals). And especially if you're scaling budget: without correct data, you don't just scale the result — you scale the mistakes too.
Case
Mini case study: what clean tracking did on one project
In the bag store case study we started precisely with analytics: CAPI and correct purchase passing with deduplication. Simply because the algorithms received the right data, visible ad performance rose by +15–20% — before we even touched the campaigns themselves. That then made it possible to lift ROAS from ×2.1 to ×4.8 without increasing the budget.
And in the chat-manager recruitment case the same clean lead tracking produced a predictable lead-gen flow: 660 enquiries → 47 candidates who stayed, target interview at ~$54 — analytics showed lead quality, not just clicks.
Your starting conditions are different — I'll name the numbers for your project after auditing your tracking.
Let's fix your analytics
Request a strategy session
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FAQ
Frequently asked questions
Why do I need CAPI if I already have a pixel?
The pixel doesn't capture every conversion — the server (CAPI) recovers the rest. For example, the browser pixel loses an estimated 15–30% of events to ad blockers and privacy settings (especially on iPhone); CAPI sends the same events straight from the server, with deduplication so nothing is double-counted. This matters so the algorithm learns on complete data instead of under-optimising your ads, and so you don't lose leads that simply never show up in the report.
What is end-to-end analytics in plain terms?
It's when data from your ads, website, and leads is brought into one picture — and for each lead you can see where the customer came from. For example, a single lead shows the specific campaign and ad combination that brought it in, what the customer did, whether they bought, and how much they brought in. This matters so you make decisions on real deals and revenue, not on cheap clicks that look good in a report but sell nothing.
How much does an end-to-end analytics setup cost?
If I'm managing your advertising, there's nothing extra to prepare: the pixel, events, CAPI, GA4, and deduplication are part of management. My work (setup and management) is priced separately from the ad budget — management runs $600–900/mo (B2B from $1000/mo); I'll name the exact figure after the strategy session. If you only need the tracking set up without ad management, I quote the price after an audit, once I can see how complex your site is and how many events are involved.
Does a small business need end-to-end analytics?
Yes, especially on a tight budget. For example, at the start correct events, CAPI and GA4 are enough — you don't need complex BI systems. This matters so you don't burn money on blind advertising: when every lead counts, without tracking you won't know what works and what just wastes budget.
Can I trust the numbers in my ad account?
Only if the tracking is set up and verified. For example, if events are broken or duplicated, the numbers in the account look nice but are wrong. This matters because the account only shows what it was sent: I always reconcile its data against real leads and sales, so decisions rest on money, not on "nice-looking" statistics.