Case series: $488,170 profit in e-commerce
Briefly about three projects. In each case, the client's main request turned out to be only part of the real picture.
Case 1 — Premium clothing brand (9 months). Task: stable ROAS ≥ 3.5. Conducted an audit of campaigns, product range, Shopify analytics, and audience behavior. Removed unprofitable combinations, rebuilt the funnel at three levels (TOF/MOF/BOF). At the launch of one collection — zero sales, within 72 hours found the reason and fixed it. Result: ROAS 5.66, revenue $131,368.
Case 2 — Black Friday (3.5 months). Another designer clothing brand. Contacted 12 days before BFCM, lost access to 80% of historical data. Launched a three-phase strategy: warming up, closing, scaling. Daily budget reached $1,200. Result: ROAS 10.56, revenue $204,351.
Case 3 — Grocery delivery (5.5 months). Manufacturer with a website and app. Part of sales from advertising was not accounted for — the app created a blind spot in analytics. Conducted tests, confirmed the hypothesis, initiated the implementation of AppsFlyer. Result: ROAS 5.3 (adjusted ~8.0), revenue $152,452.
In total across the three projects: revenue $488K+, advertising budget $71K. Full versions of the cases at the link ↓
Case 1 — Premium clothing brand (9 months). Task: stable ROAS ≥ 3.5. Conducted an audit of campaigns, product range, Shopify analytics, and audience behavior. Removed unprofitable combinations, rebuilt the funnel at three levels (TOF/MOF/BOF). At the launch of one collection — zero sales, within 72 hours found the reason and fixed it. Result: ROAS 5.66, revenue $131,368.
Case 2 — Black Friday (3.5 months). Another designer clothing brand. Contacted 12 days before BFCM, lost access to 80% of historical data. Launched a three-phase strategy: warming up, closing, scaling. Daily budget reached $1,200. Result: ROAS 10.56, revenue $204,351.
Case 3 — Grocery delivery (5.5 months). Manufacturer with a website and app. Part of sales from advertising was not accounted for — the app created a blind spot in analytics. Conducted tests, confirmed the hypothesis, initiated the implementation of AppsFlyer. Result: ROAS 5.3 (adjusted ~8.0), revenue $152,452.
In total across the three projects: revenue $488K+, advertising budget $71K. Full versions of the cases at the link ↓
Odessa 
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