Turn your marketing data
into better decisions.

The iOS 14.5 problem explained in plain English. How to calculate your Shopify-truth ROAS, and what to do when you find the gap. In our client data the average gap is 28% — Meta claimed 847 conversions, Shopify recorded 612.

Plain-language explainer with real examples. How each model changes which campaigns look profitable — and how to choose.

The calculation, the benchmarks, and a practical framework for setting ROAS targets that actually protect profit margin.

A weekly review framework. The exact questions, where to find the answers, and what to do when the numbers are off.

Refunds, exchanges, test orders, multi-currency. The six reasons your numbers never match and exactly how to standardise them.

Real data: Meta over-reported by 28%. ₪6,000/month reallocated to Google Shopping. Blended ROAS improved 0.8× in 60 days.

Why UTMs matter, how to set them up correctly for every channel, common mistakes, and a naming convention you can use today.

Data-backed benchmarks for fashion, beauty, supplements, and home goods. How to calculate yours and what to do if you're below benchmark. Real benchmark: Google Ads customers worth ₪687 at 12 months vs ₪244 from Facebook Ads.

A structural explanation of why the attribution problem is permanent and what the right strategic response looks like in 2025.

One client: Google Ads drove 140 phone calls → ₪280,000 in sales — invisible until Callbox was connected. 8 min read.

Leads → relevant leads → prospects → orders. Real data: 18,290 leads, 38.2% relevancy rate, 28.1% closing rate, ₪50 cost per order. 7 min read.

First-purchase ROAS hides the full picture. 11,633 customers: Google Ads LTV ₪687 vs Facebook Ads ₪244 at 12 months. 7 min read.