E-commerce App | Case Study

Challenge

Our customer, E-commerce Gift App, wanted to maximize returns on their advertising spend (ROAS) by optimizing their inventory sources, eliminating fraud and increasing the quality and quantity of target users.

Goals

• Allocate their marketing budget to the best-performing, most efficient sources and make data-based decisions without compromising the user volume
• Prove to the ad networks that the influx of low-performing users are actually the result of fraudulent activities among their inventory sources 
• Limit costs resulting from any revenue events

Solution

• Initiated real-time blacklisting to eliminate device farms and other low-converting fraudulent sources 
• Identified the sources stealing attribution from already-converted organic users
• Developed a transparent “partner dashboard” to provide  ad networks with real-time feedback about their suppliers
• Established automated deductions to charge back the budget spent on fraudulent activities