Your Performance Max campaign is spending money. But is it driving real business growth?

Google Ads Performance Max can reach potential customers across Google's channels. But broader reach alone doesn't guarantee better results.

The real challenge is giving the campaign the right signals.

Before scaling, I focus on three things:

→ Conversion Tracking: Are we measuring genuine leads, purchases, and meaningful actions accurately?

→ Campaign Signals: Are conversion goals, audience signals, assets, and product data aligned with business objectives?

→ Performance Quality: Are conversions turning into qualified leads, paying customers, and revenue?

A campaign can report more conversions while business results remain unchanged. That's why tracking quality and downstream outcomes matter.

I'm Sumon Mahmud, a Google Ads and Conversion Tracking Specialist. I help businesses connect campaign optimization with reliable measurement and better marketing decisions.

Need help auditing or optimizing your Performance Max campaign?

Let's discuss your goals.

Visit https://itsumon.com/

#GoogleAds #PerformanceMax #ConversionTracking #PPC #DigitalMarketing

"More conversions, same business results" is the PMax story in one line. In your audits, do creative assets move the needle as much as tracking quality, or is tracking still the bigger lever?

Customer & SKU Profitability Analysis | Excel FP&A

Developed an Excel-based profitability analysis tool for a fictional FMCG business, providing detailed financial insights across customers, product categories and individual SKUs.

The model combines budget versus actual reporting with interactive filtering to help identify profitability drivers and areas requiring commercial attention.

Key features:

Customer, category and SKU-level financial analysis

Revenue, gross profit and gross margin reporting

Budget versus actual performance comparisons

Gross margin variance analysis in basis points

Dynamic customer and category filters

Business value: Enables finance and commercial teams to identify underperforming products, understand customer profitability and make more informed pricing and portfolio decisions.

Independent portfolio demonstration using fictional data. Part of the Northstar Consumer Products financial analysis project.