Aijaz Ahmed BI CLARITY
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Apparel & fashion DTC analytics · Hyderabad, Pakistan

One dashboard.
Profit, after returns.

I build GA4 tracking, return-adjusted ROAS dashboards, and stockout alerts for apparel brands whose "profitable" campaigns quietly stop being profitable once refunds and exchanges land.

Verified on Upwork 100% Job Success · 5.0 ★ · 4 Jobs Completed ↗
profit_report · synced
GA4 · META · SHOPIFY · ADSCLARITY
scattered signals one clear number
Job success 100%
Client rating5.0 ★
Avg. response0–4 hrs
The problem

"Most apparel brands I work with are scaling ad spend on a ROAS number that's never been adjusted for returns, so the 'winning' campaign is quietly losing money by the time refunds settle." Aijaz, on why clients hire him

What you get
01

Profit after returns, not before

GA4, Meta, and Shopify reconciled with return-rate built in, so your ROAS reflects what actually stays in the bank, not what the ad platform reports before refunds land.

02

Tracking that survives a drop

Google Tag Manager containers built clean the first time, so a viral launch or a traffic spike doesn't silently break your conversion tracking mid-drop.

03

Stockout alerts before it costs you

Know the moment a best-selling size or color goes out of stock, so you're not paying to send traffic to a sold-out product page.

AI automation

"The support questions and exchange requests are the same five patterns every day. Claude reads them, n8n handles them, and your team only sees the one in twenty that's actually different."

TRIGGER · WHATSAPP / IG / HELPDESK

Sizing questions, answered instantly

Claude reads the product's size chart and past exchange data to answer fit questions before checkout, cutting the size-related returns that eat your margin.

TRIGGER · RETURN / EXCHANGE REQUEST

Exchanges auto-triaged, not queued

n8n classifies the reason with Claude, auto-approves standard swaps through Shopify, and only routes the edge cases to a human.

TRIGGER · INVENTORY CHANGE

Restock pings that sell themselves

The moment a sold-out size or color is back, customers who asked get an automatic WhatsApp or SMS ping, no manual list to manage.

How it works
01 · FREE AUDIT

I find what's broken

Send your GA4, GTM, Shopify, and ad accounts. I'll tell you exactly what's misconfigured, missing, or hiding your real return-adjusted ROAS. No obligation, no sales pitch.

02 · BUILD

I fix and connect it

Clean tracking, SQL-modeled data, and one dashboard that reconciles GA4, Meta, and Shopify into a number you can trust.

03 · HAND-OFF

You own it

A documented dashboard your team can actually read, plus support if something changes upstream.

Recent work

Multi-Channel PPC Dashboard

A scalable, reusable Looker Studio reporting template spanning Google Ads, Meta, and GA4.

★★★★★ 5.0

Power BI Intelligence Dashboard

Data modeling, DAX, and KPI design delivered as a clean, decision-focused dashboard.

★★★★★ 5.0
See it in action

A sample of what a finished dashboard looks like: revenue trend, channel breakdown, and the KPIs that matter, pulled into one view instead of five tabs.

sample_dashboard · illustrative example
Sample data
Revenue
$482K
▲ 12% vs last month
Return-adj. ROAS
3.6x
▲ 0.4 vs last month
Return rate
16%
▼ 3 pts vs last month
Ad spend
$96K
▼ 4% vs last month
Revenue, last 30 days
Day 1 · $12K Day 30 · $21K
Revenue by channel
Google Ads42%
Meta Ads28%
Shopify Direct21%
Organic & Email9%
In their words
"He quickly understood complex data requirements and delivered clean, accurate, well-structured outputs that significantly improved data visibility and decision-making."
Sunny D., Cloud & DevOps Engineer
Toolkit
GA4Google Tag ManagerLooker StudioPower BISQLDAXBigQueryPythonShopifyGoogle AdsMeta Adsn8nClaude / AI Automation GA4Google Tag ManagerLooker StudioPower BISQLDAXBigQueryPythonShopifyGoogle AdsMeta Adsn8nClaude / AI Automation
Data & BI Analyst · Xeven Solutions, 2022–24 Certified · Google BI & Advanced Data Analytics University of Sindh English · Hindi · Urdu