Arbaz K.

I specialize in analytics, measurement, and attribution for SaaS and e-commerce businesses, with a focus on building reliable tracking systems that connect websites, payment platforms, CRMs, and ad platforms. A large part of my recent work has gone beyond standard client-side GA4 and GTM setups into more advanced server-side implementations. This includes working with payment processors like Stripe, webhooks, server-side GTM, and databases such as Stape Store or GCP/NoSQL to recover and stitch attribution data across the customer journey. The goal is simple: get your tracking as close to the real numbers as possible. That often means preserving client IDs, session data, click IDs, consent states, and other attribution signals so conversions can still be matched correctly even when the final purchase happens outside the website or through a webhook. No tracking setup is ever truly 100% accurate, but with the right architecture, it can get very close, often into the 90%+ range depending on the platform and setup. Over the years, my stack has grown to include a wide range of tools and platforms, including: Measurement & Analysis: • Google Analytics, AppsFlyer, Mixpanel, Amplitude, Contentsquare, Looker Studio, Hotjar, Microsoft Clarity, Firebase Analytics Implementation & Tracking: • Google Tag Manager (client- and server-side), Adobe Launch, Tealium IQ Consent & Privacy: • Google Consent Mode v2, CMP integrations (OneTrust, Cookiebot, CookieYes, and more) Attribution & Paid Media: • Google Ads conversion tracking, Meta Pixel and CAPI via server-side GTM, Microsoft UET, Twitter, TikTok, Reddit and more. Website Builders & Content Management Systems: • Shopify (advanced tracking with customer events), GoHighLevel, WordPress, Wix, Squarespace and custom built sites. If your analytics setup is messy and you're tired of unreliable data, let's team up. Share your biggest data challenge, and we'll get started.