Case Study : Scaling E-commerce Performance Advertising for reCollection brand
Background:
reCollection is a clothing brand seeking to enhance their online presence and drive sales through targeted advertising campaigns. Before partnering with us, they faced challenges efficiently scaling their campaigns while maintaining a targeted ROI. They needed clarity on which products to prioritize and how to reach their desired audience effectively.
Before the Recollection brand met Lilium, they were struggling with scaling up the sales.
Their main strategy was to rely on promotion using influencers. However, after some initial success during first year revenue couldn’t make progress anymore, regardless of investments into paid promotion by influencers.
Objective:
To scale advertising campaigns for the clothing brand while maintaining a targeted ROI. This involved identifying high-performing products and optimizing audience targeting to drive sales and maximize return on advertising spend.
Results:
- Campaign Duration: 3 months
- Purchase Value: USD 84,830.25
- Invested Amount: USD 62,76.34
- Number of Directly Attributed Purchases: 666
- Return on Advertising Spend (ROAS): 13.52
Process:
- Data Analysis and Strategy Development:
- Conducted a thorough analysis of the client’s historical advertising data to identify trends, patterns, and opportunities.
- Developed a comprehensive strategy to optimize product selection, audience targeting, and campaign structure to maximize ROI.
- Campaign Implementation and Optimization:
- Implemented targeted advertising campaigns across various platforms, with primary focus on Google Ads and Meta Ads (Facebook and Instagram).
- Utilized advanced audience segmentation techniques to reach potential customers most likely to convert.
- Continuously monitored and optimized campaigns in real time to ensure maximum efficiency and performance.
- Creative and Messaging Optimization:
- Developed compelling ad creatives and messaging tailored to resonate with the target audience.
- Conducted A/B testing to identify top-performing creatives and messaging strategies, iterating based on performance data.