Freelance Tracking & Google Tag Manager

Without measurement, there’s no optimization. Tracking conversions helps you understand what works (and what doesn’t) in your sales funnel. It’s what allows you to allocate your budget smartly, adjust your campaigns in real-time, and improve your return on investment. Good tracking is like a GPS: without it, you’re moving blindly.

You should work with a freelance tracking expert as soon as you want to secure your data ecosystem, make decisions based on real user actions, and maximize the performance of your Google Ads, Meta Ads, or e-commerce campaigns.

Yes, GA4 combined with Google Tag Manager allows you to set up effective multi-platform remarketing, provided your tracking is well structured.

With GA4, you can create custom audiences based on real user behavior (e.g. scrolls, clicks, product views, cart abandonment, visits to specific pages). These audiences can then be shared directly with Google Ads to launch highly targeted remarketing campaigns.

At the same time, Google Tag Manager lets you install and configure other remarketing tags, such as the Meta Pixel (Facebook Ads), LinkedIn Insight Tag, TikTok Pixel, or any other advertising tool, without touching your site’s code.

If your conversions aren’t showing up in Google Ads or GA4, it’s often due to a tracking configuration issue. Several common causes can block or distort the data being recorded:

1. Tags not firing correctly in Google Tag Manager: If events aren’t properly configured, they might not trigger at the right time, or not at all.

2. Missing user consent: Under GDPR, if your site doesn’t collect user consent properly (via a CMP), some conversions won’t be tracked.

3. Conversions not imported into Google Ads: Even if GA4 detects the conversions, they won’t automatically appear in Google Ads unless the import is enabled and linked to the correct event.

4. Incorrect setup in GA4: An event only becomes a conversion if you’ve explicitly marked it as such in the GA4 interface.

5. Data processing delays: Sometimes GA4 takes several hours to reflect certain conversions, especially those coming from multi-channel campaigns or with delayed attribution.

A tracking or GA4 expert can quickly audit your setup, identify the bottlenecks, and ensure that every valuable conversion is accurately tracked, recorded, and usable for campaign optimization.

No, Google Tag Manager (GTM) is not mandatory, but it’s highly recommended if you want tracking that’s reliable, scalable, and easy to manage.

Without GTM, every tag modification, like those for Google Ads, Meta Pixel, Hotjar, or GA4, has to go through a developer and be manually added to your site’s code. It’s slow, risky, and often leads to errors.

With GTM, you centralize all your scripts in one place. You can activate, test, and update them independently without touching the source code. It’s the ideal solution for managing marketing or analytics tags, triggering custom events, tracking conversions precisely, and reacting quickly without relying on developers.

For any advanced tracking project, paid media campaign, or data-driven strategy, a Google Tag Manager expert will save you valuable time while securing your data.

Yes, Consent Mode V2 is now essential if you want to keep tracking conversions accurately in Google Ads and GA4 while staying compliant with GDPR requirements.

This is a common question, and the answer is simple: each platform tracks conversions differently, with its own attribution rules, data processing times, and methodologies.

Here are the main reasons for discrepancies:

1. Different attribution models: Google Ads often attributes the conversion to the last click on a Google ad. GA4 can use data-driven or multi-touch attribution. Meta Ads typically attributes the conversion within a 1-day view or 7-day click window, which can inflate its numbers.

2. Data processing delays: GA4 may take several hours or even days to process certain conversions. Meta and Google Ads may display data faster or follow different update rules.

3. Cross-platform attribution conflicts: If a user clicks first on a Meta ad and later converts through a Google search, each platform may “claim” the conversion based on its own logic.

4. Consent and tracking: If the user refuses cookies or if Consent Mode is not properly configured, some conversions may only partially be recorded, or not at all, in GA4 or Google Ads.

This is a question many companies ask themselves, and in most cases, the data is not entirely reliable. It could be due to misconfigured tags, events that don’t fire, incorrect GA4 settings, or issues with user consent.

When your numbers are incomplete or inconsistent between GA4, Google Ads, and Meta Ads, you risk making decisions based on inaccurate data. Poor tracking can directly affect your performance and your budget.

Working with a tracking or Google Tag Manager expert helps you identify errors, secure your data, and ensure that every valuable conversion is properly measured and used to optimize your campaigns.

In Google Tag Manager, the trigger defines when a tag should fire. For example: “when someone clicks on a button” or “when a specific page loads.” It’s the action that initiates the tracking.

The variable, on the other hand, is used to capture specific information at the moment the trigger activates. For example: the page URL, the ID of the clicked button, or the value of a product. It’s used to personalize the tag with contextual data.

Macro-conversions are the final actions with a high impact on the business, such as a purchase, a quote request, or a confirmed registration. They mark the completion of the customer journey and are generally the foundation of the main goals in paid media campaigns.

Micro-conversions, on the other hand, are small signals that indicate a user is interacting or showing interest: deep scroll on a page, click on a “Contact” button, video playback, progressing through a step in a form.

An expert in GA4 or Google Tag Manager knows how to configure and track both types, as micro-conversions fuel behavioral analysis and help identify friction points in the user journey.