Measure

You're Blind to 40% of Your Conversions

The 40% is invisible. Not missing because it doesn't exist, missing because your tracking setup never captured it. MarchiteQ audits, repairs, and rebuilds conversion tracking so every decision you make is grounded in complete data.

What we fix
Conversion tracking methods wheel: pixel-based tracking, UTM parameters, event tracking, cross-device tracking, and server-side tracking in a cycle around a central gear.

The Invisible Conversion Problem

Most businesses assume their tracking is working because numbers appear in the dashboard. Numbers appearing is not the same as numbers being accurate.

Here is what broken conversion tracking looks like in practice:

  • Google Ads reports 40 conversions. GA4 reports 22. Both are tracking the same event. Neither is fully correct.
  • Your Meta Ads ROAS is 4.2. But when you cross-reference against actual revenue in your CRM, the real number is 1.8.
  • Direct traffic is your second largest channel above email, above organic. Direct traffic at that volume is not a real channel. It is a dead-giveaway that attribution is broken and traffic is being misclassified.
  • You turned off a campaign because it showed zero conversions. It was actually driving 30% of your revenue, just not being tracked correctly.

These are not edge cases. They are the norm. And every marketing decision made on top of broken tracking compounds the error.

If Direct Traffic Is High, Your Attribution Isn't Working

High direct traffic usually means sessions are landing in the wrong bucket, not that “everyone typed your URL.” Here is the pattern we see most often:

What counts as direct?

Sessions with no identifiable source: no referral, no tagged campaign, no clear ad click. The bucket is real, but it is too often a catch-all for visits that were never attributed properly.

What is a healthy share of direct?

In a solid setup, direct is usually less than 50% of total traffic (brand and channel mix matter). When direct is consistently higher, especially as a top “channel”, something is usually wrong.

Are UTMs missing or wrong?

Paid and partner links without consistent UTM parameters send traffic into direct. Campaign reporting looks clean; channel mix does not.

Are redirects stripping the referrer?

HTTPS → HTTP and similar handoffs can remove referrer data, so analytics loses the real source.

Is cross-domain tracking missing?

Multi-domain funnels without proper configuration break the chain from ad click to conversion, visits surface as direct.

App → web with no bridge?

Journeys that move from app to web without an attribution link often arrive as direct in your reports.

Email links untagged?

Newsletter and lifecycle email without UTM tracking reads as direct, even when it drove the session.

What shows up in the reports?

Conversions that paid campaigns actually drove can appear as direct. Organic and direct look stronger than they should; paid ROAS looks weaker. Teams cut budget, and revenue drops with no obvious explanation in the dashboard.

Why this is not a small reporting quirk

Inflated direct traffic is systematic misattribution. It drives the wrong budget decisions, every month.

What a MarchiteQ Conversion Tracking Audit Covers

GA4 Implementation

Event taxonomy, conversion event configuration, cross-domain tracking, session attribution model, and data stream setup. We check what's being tracked, what's being missed, and what's being counted twice.

Google Ads Conversion Tracking

Tag implementation (Google Tag / GTM), conversion action configuration, import vs native tracking, value-based conversion setup, and cross-device attribution. We reconcile Google Ads data against GA4 to isolate discrepancies.

Meta Conversions API + Pixel

Pixel health check, event deduplication between browser pixel and CAPI, event match quality scores, and standard event coverage. For most businesses, Meta is seeing 30–50% fewer conversions than actually occur, directly degrading campaign performance.

Attribution Model Review

Which attribution model is your business actually using across platforms? Data-driven, last-click, and linear models produce radically different credit allocations. We map what each platform is reporting and build a reconciled view.

UTM and Campaign Tagging Audit

Every paid channel, email campaign, and partner link is checked for consistent, correct UTM parameters. This is frequently the root cause of inflated direct traffic.

What Happens When You Can See the Full Picture

Recovering 40% of your invisible conversion data is not a technical achievement. It is a business decision that changes everything downstream:

  • Ad algorithms perform better. Google and Meta optimise toward the conversion signals you feed them. More complete data means better automated bidding decisions, immediately.
  • Budget allocation becomes defensible. When every channel is attributed correctly, you stop over-investing in channels that appear to perform and under-investing in channels that actually do.
  • You scale with confidence. Scaling a campaign on incomplete data is guesswork. Scaling on complete data is strategy.
  • ROAS stops lying to you. Platform-reported ROAS and actual business ROAS converge, which is the only number that matters.
Häufig gestellte Fragen

Frequently Asked Questions

Why do Google Ads and GA4 show different conversions for the same campaign?

Google Ads attributes a conversion to the day the ad click happened. GA4 attributes the conversion to the day the conversion event actually happened. So a click on March 1st that converts on March 10th shows up in Google Ads under March 1st, and in GA4 under March 10th. When you compare date ranges, especially near the edges of a reporting window, the numbers will never match cleanly.

What is the difference between First user source / medium, Session source / medium, and Source / medium in GA4, and which one should I use for campaign reporting?

First User is about acquisition, which channel brought this person to your brand for the first time ever, persisting until cookies reset. Session is about engagement, what brought them here in this specific 30-minute window, with GA4 ignoring direct traffic and looking back 90 days for the last non-direct source. Source/Medium is the channel when the key event happened. For campaign performance you almost always want Session Source/Medium, and for conversion attribution you need the Advertising section or Event Reporting.

Why does Direct show up so much in GA4 as a source for conversions?

GA4 does apply a 90-day lookback window that tries to replace direct traffic with the last known non-direct source. But that lookback depends entirely on the client ID surviving in the browser cookie. If the user cleared their cookies, switched browsers, switched devices, or if ITP on Safari already wiped the cookie after 7 days, GA4 has no record of any previous session to look back into. With no prior source available, it has no choice but to label the conversion as Direct. This is broken attribution. Only server side tracking can fix it.

Why can I not see all touchpoints in GA4?

Data-driven attribution in GA4 exists in exactly one place, the Attribution Report under the Advertising section. That is it. Every single standard report in GA4, your Acquisition reports, your Engagement reports, your Conversion reports, all of them use non-data-driven dimensions.

Why does my paid traffic look lower in GA4 than in my ad platforms even with UTM parameters?

Ad platforms count clicks, GA4 counts sessions. A page that loads too slowly registers as a click in your ad platform but never becomes a session in GA4. Bot traffic is filtered out in GA4 but counted as clicks in ad platforms. UTM parameters get stripped by browser restrictions, redirects, or overwritten by ad identifiers like the gclid.

Fix Your Conversion Tracking

Every week you run campaigns on incomplete data is a week of decisions you can't trust. The audit takes days. The impact lasts.

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