Case Study
Scaling Spend and ROAS with Strategic Optimizations
Client
Ikiru
Industry
E-commerce retailer
Services used
Data Foundation, Data Intelligence
Table of content
Context/Problem Statement
IKIRU, a cutting-edge online marketplace specializing in home decor and furniture, offers a wide range of premium products. When Ikiru first approached Adnaut, their account was under-optimized, spending inefficiently on low-performing keywords and failing to capitalize on machine learning and ROAS-focused Smart Shopping campaigns. Lacking digital media expertise, they sought our help to scale their operations and improve their ROAS.
Solution/Approach
- Comprehensive Media Audit: Conducted a thorough audit to identify gaps in their media buying strategy. Their 1st-party data was underutilized, so we launched data-driven campaigns leveraging their 1st-party data.
- Keyword Research: Performed in-depth research to identify high-performing brand and generic search terms, optimizing campaigns for better performance.
- PMAX and Smart Shopping Campaigns: Implemented Performance Max (PMAX) strategies and launched Smart Shopping campaigns to generate sales at a lower cost.
- Traffic and Sales Optimization: Focused on increasing website traffic while optimizing for conversions. Seasonal and festival-specific campaigns were consistently rolled out.
- Data-Driven Insights: All optimizations were backed by solid data, reducing ad wastage and improving overall efficiency.
Result
- ROAS Improvement: Within three months, we achieved a 10:1 ROAS.
- Traffic Growth: Website traffic and quality sessions doubled.
- Sales Milestone: Monthly sales increased 5x within a year.
- Peak Season Success: Achieved a 14:1 ROAS during peak seasons on a modest budget.