Every case study below is a real MornningStar.ai engagement. The businesses are real. The revenue leaks are real. The results are verified against actual platform data — not projected, not modelled.
A supplement brand selling direct through Shopify was spending $120,000 per month on Meta. Their reported ROAS was 4.2×. After connecting Conversions API and reconciling against Shopify checkout data, verified ROAS was 2.3×. The gap: $22,000 per month attributed to conversions that never happened.
Three campaign structure changes and one audience exclusion — implemented in week two. CAC dropped 27% within 30 days.
We thought our Meta was working. MornningStar.ai showed us exactly where it wasn't — and the fix took one afternoon.
— Founder, A D2C Supplement BrandBilling leakage across 11 outlets. Unbilled procedures, incomplete charge capture, and an OPD funnel gap.
Average 22% commission per OTA booking. AI dynamic pricing fixed peak-date underpricing within 60 days.
Real ROAS was 2.3× — not the 4.2× on the dashboard.
30-minute call. One revenue question answered with your actual data. Free. No commitment.
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