Md Arshad A.

I help e-commerce brands and marketing agencies turn fragmented ad data into one dashboard that shows what's actually profitable — not just what looks good in ROAS. Most teams I work with have the same problem: Shopify, GA4, Meta, Google Ads, and TikTok all live in different tools, and no one can answer the only question that matters — which channels are making us money after refunds, COGS, and shipping? I build the data layer and dashboards that answer it. What I specialize in: - Marketing dashboards in Metabase, Looker Studio, and Power BI - Cross-channel attribution: MER, blended CAC, channel and campaign profitability - SQL pipelines connecting Shopify, GA4, BigQuery, Meta, Google Ads, and Google Sheets - Server-side tracking (GTM SS, Meta CAPI) when attribution data is broken upstream Recent work - Built a Metabase analytics system for a commercial real estate platform (FinanceLobby) that surfaced $275K–$490K in business value through customer behavior analysis and reporting that didn't exist before. - Migrated a marketing agency from Supermetrics to a free-connector stack (Data Bloo) and unified six paid channels into a single Looker Studio dashboard, cutting their reporting tool spend and reporting time. - Rebuilt a D2C brand's channel attribution to expose ~$12K/month in spend going to "high-ROAS" campaigns that were unprofitable after returns. Tooling: Metabase · Looker Studio · Power BI · BigQuery · PostgreSQL ·Excel ·Google Sheet · GA4 · GTM (web + server-side) · Meta CAPI · SQL · Python · Google Apps Script If your ad spend is going up but profit isn't — or if your team is drowning in spreadsheets pretending to be a dashboard — let's talk. I'll usually have a clear read on the fix within a 30-minute call.