Muhammad Tahir I.

I rebuild broken marketing measurement for ecommerce and lead-gen businesses running real ad budgets. GA4, server-side GTM, attribution and BI reporting that leadership can allocate against. 15 years. Nissan, Renault, INFINITI, BAT, AW Rostamani. WHAT I ACTUALLY FIX Conversions that show in Google Ads and Meta but never reconcile with backend revenue. GA4 events that fire but report the wrong numbers. Duplicate GTM tags inflating results. Consent decline and ad-blocker loss quietly deleting a third of your data before it reaches a report. Dashboards full of metrics that answer no decision. SELECTED WORK Ecommerce GTM rebuild with predictive analytics: conversion rate up 40%. Multi-market automotive group (Nissan, Renault, INFINITI): GA4, ecommerce, CRM, paid media and agency reporting reconciled into one leadership view after five systems told five different stories about the same quarter. Server-side GTM and Meta CAPI for a DTC brand: matched conversions increased 17% and reported CPA improved by 11% within 8 weeks. HOW I START I audit before I build. Tracking layer, GA4 configuration, GTM container, ad platform conversions, UTM structure, funnel and channel definitions. Findings get split into three buckets: tracking errors, business logic gaps, and reporting gaps. Most setups do not need a rebuild. They need the three things that are actually wrong identified and fixed, with documentation you keep and your next developer can read. STACK GA4, Google Tag Manager (client and server-side), Stape, Meta Conversions API, Google Ads enhanced and offline conversions, Consent Mode v2, BigQuery, Looker Studio, Power BI, Google Search Console, HubSpot, Klaviyo, Shopify, WooCommerce, WordPress, Make, Zapier, SQL. WORKING TOGETHER Send me your GA4 property, your ad accounts, and the one number your team keeps arguing about. Within a day I'll tell you whether the problem is tracking, business logic or reporting, and what it costs to fix. If your setup is already clean, I'll say so and tell you where the actual gap is. BEYOND TRACKING Fixing measurement is only the starting point. The bigger question is what the numbers should change: where to invest, what to stop, where the funnel is leaking, and whether growth is coming from acquisition, conversion, retention or better economics. With 15+ years across digital marketing, ecommerce, analytics and CRM, I work across both the technical and commercial sides of marketing. SEO is not just rankings. Paid media is not just clicks and CPA. CRO is not just landing-page changes. Analytics is not just dashboards. The value comes from connecting these areas to understand customer behaviour, marketing efficiency and revenue. My experience spans hands-on execution through regional and senior-level marketing analytics, including work across Consumer/CRM, E-commerce, Social, Search and Web Performance for complex organisations. CORE CAPABILITIES GA4 | GTM | Marketing Analytics | Conversion Tracking | Looker Studio | Power BI | BigQuery | Data Analysis | Data Visualization | Google Ads | Meta Pixel | Facebook Ads | CRO | A/B Testing | Shopify | HubSpot | Klaviyo | Google Search Console | Marketing Strategy The platforms will keep changing. The durable skill is understanding the customer, finding the commercial problem, measuring it correctly and deciding what happens next. For senior marketing teams, the value is not another dashboard or another campaign. It is clearer decisions about where growth is coming from, where money is being wasted, and where the next investment should go. I also bring experience across SEO, PPC, ecommerce growth, CRM, marketing automation, customer journey analysis and performance strategy, allowing the work to move from diagnosis to execution without losing the commercial objective. The goal is simple: make marketing easier to measure, easier to manage and easier to justify at leadership level. Every marketing dashboard I have audited looked confident. Most were wrong in the same direction. Last-click attribution tells you who was standing nearest the sale, not who caused it. It over-credits branded search and retargeting, the two channels that would have converted anyway, and under-credits whatever created the demand. Budget follows the credit. That is how a company ends up paying to reach people who had already decided. Two things changed. Privacy controls and AI answers now hide most of the customer path, so the last click overstates itself a little more every quarter. And the correction got cheap: marketing mix modelling and geo holdout testing were six-figure enterprise projects three years ago and are open-source today. The question worth putting to your team is not what the dashboard says. It is this: if we switched this channel off in three regions for six weeks, what would actually happen to revenue? Send me the one number your team argues about. I'll tell you if it's tracking, logic or reporting.