The Challenge
With revenue growing 40% year-over-year, this Dubai-based fashion and lifestyle e-commerce brand was scaling fast - but their marketing analytics hadn't kept up. The 8-person marketing team relied on a patchwork of Google Sheets, platform-native dashboards, and weekly manual exports to track performance across Meta Ads, Google Ads, TikTok Ads, and GA4.
Every Monday, the marketing manager spent 4–5 hours pulling data from each platform, normalizing currency (AED/USD), and building a weekly report for leadership. By the time the report was ready, the data was already stale. Worse, discrepancies between platforms made it impossible to confidently answer the CEO's favorite question: "Which channel is actually driving revenue?"
They had tried Looker Studio, but maintaining custom connectors and dealing with data freshness issues created more problems than it solved. They needed something that worked out of the box for a multi-channel e-commerce analytics operation.
The Solution
The team connected all four ad platforms and GA4 to Xplainr in under 30 minutes. Within the first day, they had a unified dashboard showing cross-channel ROAS, spend pacing, and revenue attribution - all updating automatically.
Three Xplainr features transformed their workflow:
- Unified Cross-Channel Dashboard: All channels in one view with consistent metrics and currency normalization. No more spreadsheets.
- AI-Powered Anomaly Detection: Aria flagged a sudden 3x increase in Meta Ads CPA within 2 hours of it happening - before the team would have noticed in their weekly review. The alert saved an estimated $12,000 in wasted spend. Learn more about how anomaly detection works.
- Automated Weekly Reports: Leadership now receives a clean, branded report every Monday at 7am with AI-generated summaries of what changed, why it matters, and what to do next. See our guide on automated marketing reporting.
The Impact
Within three months, the team's blended ROAS improved from 2.1x to 3.2x - not because of a single magic insight, but because they could finally see where budget was being wasted and reallocate in real-time. The marketing manager now spends her Monday mornings on strategy, not spreadsheets.
The anomaly detection alone has flagged 7 spending anomalies in the first quarter, 4 of which required immediate action. The team estimates they've prevented over $30,000 in wasted ad spend through early detection.