Case study · Google Ads Tracking

GA4 eCommerce & Google Ads Conversion Tracking for ProCloudify Hosting

Every purchase, tracked and proven.

Client
ProCloudify
Industry
Hosting, BDIX & Domain Services
Channel
Google Ads
Location
Bangladesh
  • GA4 eCommerce
  • GTM
  • Google Ads
  • Looker Studio
ProCloudify Google Ads Tracking
ProCloudify homepage offering managed web hosting in Bangladesh
01/ 11

ProCloudify homepage offering managed web hosting in Bangladesh

Setup architecture

ProCloudify tracking architecture

How the setup in this project is connected, from the website to each platform.

About ProCloudify

ProCloudify provides premium hosting, BDIX servers, reseller hosting and domain services. The company relies heavily on paid campaigns for leads and sales, but without structured analytics and conversion tracking it could not accurately measure campaign performance, revenue attribution or customer behavior.

Project overview

Purchases were happening, but the data was not. ProCloudify lacked a proper Google Ads conversion tracking setup and a complete GA4 eCommerce framework. Purchases, checkout interactions, form submissions, WhatsApp clicks and engagement events were partially tracked or missing entirely.

This caused inaccurate conversion reporting, unreliable attribution, incomplete revenue tracking and difficulty optimizing campaigns. I designed and implemented a complete analytics and conversion ecosystem that tracks every important interaction from the first visit to the final purchase.

Goals

  • Build a full-funnel tracking infrastructure from first visit to final purchase
  • Track hosting package purchases with revenue values and transaction IDs
  • Send complete, correctly valued conversions to Google Ads
  • Measure WhatsApp interactions, lead forms and engagement
  • Give the team a centralized reporting system for monitoring performance

Challenges

  • No GA4 eCommerce event structure was implemented
  • Hosting package purchases were not properly tracked
  • Google Ads conversions were incomplete and undervalued
  • Revenue values and transaction IDs were missing
  • WhatsApp interactions and lead forms were not measurable
  • Scroll behavior and UI engagement were ignored
  • The team lacked a centralized reporting system

Strategy

I created a scalable, event-driven analytics system with Google Tag Manager and Google Analytics 4. Every major interaction across the funnel was mapped into structured events: product views, add-to-cart actions, checkout behavior, purchases, forms and engagement. Accurate revenue tracking and a clean GA4 to Google Ads integration make Google Ads conversion tracking reliable for attribution and ad optimization.

What I implemented

Trigger configuration

  • Form submissions
  • CTA clicks
  • Phone clicks
  • Email clicks
  • Scroll depth
  • WhatsApp interactions

Custom parameters

  • page_category
  • service_type
  • lead_type
  • form_location

GA4 configuration

  • Enabled GA4 enhanced measurement for baseline site interactions
  • Mapped high-intent actions as GA4 conversions

Google Ads integration & reporting

  • Synced GA4 with Google Ads for conversion tracking and audience creation
  • Built a custom Looker Studio dashboard for real-time performance reporting

Validation

  • GA4 DebugView
  • Tag Assistant
  • Cross-device testing

Tools used

  • Google Tag Manager (GTM)
  • Google Analytics 4 (GA4)
  • Google Ads
  • Meta Pixel (future-ready)
  • Looker Studio

Results

  • Server-side Google Ads conversions for view item, add to cart, checkout, purchase and sign-up
  • Google Ads user-provided data events added for enhanced conversions on purchase
  • Conversion tracking: from unstructured and incomplete to a full multi-event tracking system
  • Lead attribution: from unclear lead sources to accurate GA4-to-Google Ads attribution
  • Engagement tracking: from not monitored to scroll, CTA, WhatsApp and form tracking
  • Reporting: from no centralized reporting to a real-time Looker Studio dashboard

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