Neil S.

GA4 data you can trust. I audit, repair and build Google Analytics 4 + Google Tag Manager implementations so marketing teams can clearly understand what is driving leads, conversions and meaningful customer behavior. Top Rated Plus | 100% Job Success | 77+ Upwork Projects | 1,700+ Upwork Hours | 20+ Years in Digital Analytics The question I help clients answer is simple: Can we trust the data enough to make a business decision from it? If the answer is no—or you're not sure—that's where I come in. I work with businesses, marketing teams and agencies that have GA4 installed but still struggle with problems such as: • Missing or duplicate events • Incorrect conversion tracking • Google Ads and GA4 discrepancies • Lost campaign attribution • Forms or appointments that aren't properly measured • Cross-domain tracking problems • Incomplete Google Tag Manager implementations • Reporting built on unvalidated data • Website engagement that basic GA4 reporting doesn't explain What I Can Help You Build GA4 + Google Tag Manager Audits I evaluate the existing implementation and identify tracking gaps, duplicate tags, incorrect triggers and measurement problems. Google Tag Manager Implementation I build tags, triggers, variables and dataLayer solutions around the questions your business actually needs answered. Attribution & Conversion Measurement Understand which marketing channels, campaigns and website interactions are contributing to leads and conversions. I have developed a collection of specialized Google Tag Manager solutions that go beyond basic GA4 tracking to uncover more of the customer story. Examples include: • UTM Parameter Persistence • Calendly Appointment Capture • High Scroll Intent • Micro-Conversions • Repeat Interest Detection • New vs. Returning User Measurement • AI Traffic Attribution • Journey Touch Observation • Page Performance Measurement • SEO Diagnostic Tags • Data Layer Diagnostics The goal isn't to collect more data. The goal is to collect the right data so you can make better decisions. My Implementation Process 1. Understand the business question Before building anything, we determine what you actually need the data to answer. 2. Audit the current measurement I review GA4, Google Tag Manager and the existing tracking architecture. 3. Build or correct the implementation Tags, events, triggers and variables are created around the measurement requirements. 4. Test and validate Implementations are tested before publishing using tools such as Google Tag Assistant and GA4 DebugView. 5. Document and explain You don't just receive an implementation—you understand what was built, why it was built and how to use the resulting data. My approach is simple: Validation before visualization. If you're questioning whether your GA4 data is accurate—or wondering what your website isn't currently telling you—send me a message describing the business question you're trying to answer. Your marketing data should tell you what's working. I make GA4 and Google Tag Manager trustworthy enough to do that—and I've built specialized measurement solutions to uncover the parts of the customer story standard tracking misses.