Measurement systems
Every conversion, connected.
GA4, GTM, server-side tracking, and conversion APIs aligned around one dependable data layer.
Web analytics and tracking
Protect your ad budget.Make every conversion count.
I build accurate tracking so your campaigns optimize with complete, reliable data.
Campaign intelligence
Spend with clearer signals.
Clean attribution gives marketing teams faster decisions across paid media, CRM, and revenue reporting.
Good tracking starts with better questions.
I work at the intersection of marketing, analytics, and implementation. The goal is not simply sending events into GA4. It is designing measurement around how a business actually works.
From browser-side GTM to server-side tracking, conversion APIs, and debugging, I care about the details that determine whether data can be trusted.
Clear event ownershipDocumented parametersTestable signal paths
Expertise
The complete measurement path, engineered as one system.
GA4 Implementation
Event architecture, custom dimensions, conversion modeling, and reporting foundations.
Google Tag Manager
Clean container logic, data layer schemas, custom variables, and deep debugging.
Server-Side Tracking
First-party measurement infrastructure and resilient server containers.
Conversion APIs
Enhanced Conversions, Meta CAPI, and multi-platform attribution signals.
Tracking Audits
Diagnosis of broken fires, duplicate transactions, and missing parameters.
Measurement Architecture
End-to-end tracking blueprints aligned with business KPIs.
From uncertainty to a system you can verify.
Understand
Map the business model, conversion goals, user journeys, and existing data gaps.
Design the schema
Define events, parameters, data layer objects, and trigger dependencies.
Implement
Build browser and server containers with controlled first-party routing.
Validate
Inspect payloads, deduplication, consent behavior, and platform delivery.
Selected work
Measurement systems built for real decisions.
Selected architecture, implementation, and audit work across the complete data collection path.
01
Measurement design
GA4 and GTM Tracking Architecture
A measurement system built around meaningful user actions, not default page-view reporting.
A consistent taxonomy with duplicate events removed and critical funnels validated.
Problem
Inconsistent event names, missing dimensions, and noisy auto-events made reporting hard to trust.
Approach
GA4 / Google Tag Manager / Custom Data Layer / JavaScriptDesigned a clean data layer, standardized the event taxonomy, and configured purpose-built parameters in GTM.
02
Cloud infrastructure
Server-Side Tracking Implementation
First-party measurement infrastructure built for resilience, speed, and privacy control.
More resilient conversion collection through a controlled first-party endpoint.
Problem
Browser restrictions, blockers, and third-party latency weakened conversion signals.
Approach
Server-Side GTM / Meta CAPI / Cloud Run / StapeConfigured a server-side GTM container on a first-party endpoint for GA4 and Meta CAPI routing.
03
Audit and repair
Conversion Tracking Audit
A forensic review to locate broken signals, duplicates, and missed triggers.
Duplicate transaction triggers were removed and attribution logic was aligned with CRM data.
Problem
Ad platform conversions did not align with backend sales and transaction totals were inflated.
Approach
GTM Preview / GA4 DebugView / Network Inspection / Looker StudioVerified tag firing, transaction deduplication, consent logic, and network payloads end to end.
Tools
The exact stack your tracking gets built on.
No tool list for the sake of it. Every platform here has a job in the path from a click to a number you can defend in a meeting.
Server-side infrastructure
- Google Tag Manager
- Stape
- Google Cloud Run
GTM, Stape and Cloud Run — running on your own domain.
One first-party server container receives every event, enriches it, and forwards it to GA4, Meta and Google Ads. Ad blockers and 7-day cookie limits stop deciding what your reports look like.
0destinations fed from one container
0%payloads verified before launch
GA4
Event taxonomy that survives an audit.
One naming convention, documented parameters, and DebugView proof for every conversion event.
- purchase
- begin_checkout
- generate_lead
- value
- currency
- items[]
Meta CAPI
Browser and server, counted once.
Shared event_id deduplication and hashed customer data lift Event Match Quality without inflating purchase counts.
Google Ads
Enhanced Conversions with Consent Mode v2 wired in.
GCLID preserved, consent respected per region, and conversion values matched to the revenue your CRM actually recognises.
- Enhanced Conversions
- Consent Mode v2
- Offline conversion imports
Ad platform pixels and Conversions APIs
Every network gets the same deduplicated event.
One validated purchase leaves the server container and arrives at each platform in the shape it expects — its own match keys, its own dedup ID, its own consent rules. Nobody gets a different number for the same sale.
- SnapchatSnap Pixel + CAPI
Browser snaptr events and server Conversions API calls carry the same client_dedup_id, so one purchase is never counted twice.
- PinterestPinterest Tag + CAPI
Server-side conversions with hashed enhanced match recover the checkouts a browser-only tag quietly loses to blockers.
- Microsoft AdvertisingUET + offline imports
Consent-aware uetq events plus offline conversion imports, so CRM-qualified leads reach Microsoft bidding instead of dying in a spreadsheet.
- RedditReddit Pixel + CAPI
Pixel and server events reconciled on conversion_id with hashed identifiers before anything reaches the auction.
Also in the toolbelt
Reporting, warehousing and platform APIs for when measurement has to travel further than a dashboard.
- Looker Studio
- BigQuery
- TikTok Events API
- Shopify
Free 30-minute tracking review
Not sure which of these you actually need?
We open your GTM container and GA4 DebugView together on a call. You leave with a written list of what fires, what is broken, and what it is costing you. No pitch.
Book a callReplies within 24h · Async friendly · or email the details
Trust is the product.
A polished dashboard means very little when the signal underneath is incomplete.
I focus on event hygiene, parameter integrity, consent behavior, and server validation. These invisible details make analytics genuinely useful.
Technical analytics, handled with care.
I'm Ashiqur Rahman, a Web Analytics and Tracking Specialist helping websites collect cleaner, more useful marketing data.
I enjoy understanding how a website works, defining what should be measured, implementing the system, and testing it until the numbers make sense.
No black-box configurations. Every event, parameter, and routing decision should be explainable.
Have a tracking problem?
Let's make the signal clear.
Choose a duration, pick any available date and time, and book directly into my Google Calendar.