I build marketing dashboards and reporting pipelines that bring GA4, Google Ads, Meta Ads, call tracking and CRM data into one place. Instead of copying numbers into spreadsheets every week, you get automated reports that show spend, leads, ROAS and revenue by campaign.
Data from every platform is pulled together automatically, so you never copy numbers by hand.
Every dashboard starts with the decisions it needs to support, not with the charts.
I learn your goals, KPIs and who will use the reports.
I check that tracking and data sources are accurate before anything is visualized.
I connect and blend the data sources, then design the dashboard around your key metrics.
I set up scheduled delivery, sharing and access, and walk your team through the reports.
Teams that spend on paid media and need a reliable view of what it returns.
Marketing agencies reporting to multiple clients
Local and lead gen businesses tracking calls and booked jobs
Ecommerce brands measuring ROAS across channels
Business owners who want one clear view of marketing performance
| Spreadsheet reports | Automated dashboards | |
|---|---|---|
| Time spent | Hours each week exporting and pasting data from every platform | Data refreshes automatically, so reporting time goes into analysis |
| Data freshness | Numbers are out of date as soon as the sheet is shared | Dashboards show current data whenever they are opened |
| Accuracy | Copy-paste mistakes and broken formulas go unnoticed | Direct connections and validation checks keep numbers consistent |
| Cross-channel view | Each platform reported separately, in its own format | Google Ads, Meta, GA4 and CRM data blended in one view |
| Lead quality | Only platform-reported conversions, no link to real sales | CRM pipeline and revenue tied back to each campaign |
| Attribution | Conflicting platform numbers with no explanation | Side-by-side attribution comparison with clear definitions |
| Client delivery | Manual emails with attachments every reporting period | Scheduled, branded reports delivered automatically |
A hybrid browser + server-side tracking build for a Bangladeshi fashion brand, recovering lost purchase events and lifting Meta event match quality from 3/10 to 9/10.
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Server-side Meta tracking for a natural food and herbal supplement store, so every add-to-cart, checkout and purchase from Facebook Ads is captured and attributed.
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Full lead and course-purchase tracking for a Mauritius-based online tuition provider, replacing Pixel-only tracking that lost 40–60% of events on iOS and blocked browsers.
Read case studyMainly Looker Studio, with BigQuery for larger or more complex datasets and Power BI when your team already works in the Microsoft ecosystem. I choose the tool based on your data volume, budget and who needs access.
Yes. I connect and blend these sources so spend, leads, pipeline and revenue appear side by side, and campaigns can be compared on cost per lead and ROAS using real sales data.
Each platform uses its own attribution model, conversion window and counting rules. I build attribution comparison views that show the numbers side by side with clear definitions, and fix tracking issues that make the gap larger.
Not always. Looker Studio connectors are enough for many businesses. BigQuery helps when you need raw GA4 event data, long-term history, custom attribution or data from many sources joined together.
Yes. I build branded report templates that can be reused across clients, with scheduled delivery and access controls so each client sees only their own data.
Get a free audit of your tracking and ad account. Usually replies within 1–2 hours.
