85%
increase in revenue
47%
improvement in customer acquisition cost (CAC)
Background
The client is a rapidly growing online retailer specializing in sustainable home goods. They faced intense competition and rising customer acquisition costs (CAC). Despite steady traffic, they struggled with high bounce rates and low conversion rates, limiting their potential growth.
Challenge
The primary challenges that the online retailer confronted included high bounce rates (70%) and abandoned carts (~65%); rising CAC, making profitable growth difficult. And lastly, ineffective retargeting campaigns delivering minimal ROI.
To tackle these issues, the online retailer partnered with our Jupyter Analytica's performance marketing team, implementing a three-pronged approach:
Audience Segmentation & Personalization
Conversion Rate Optimization (CRO)
Omnichannel Integration
Significant Revenue Growth
The campaign successfully achieved a primary goal of significantly increasing revenue. By employing rigorous A/B testing, optimizing product pages, checkout processes, and improving website speed and mobile responsiveness, the online retailer boosted its overall conversion rates by 63%, resulting in a remarkable 85% increase in YoY revenue.
Reduced Customer Acquisition Costs
A secondary major goal, reducing customer acquisition costs (CAC), was effectively met by leveraging advanced analytics to segment audiences and implementing personalized retargeting campaigns. Integrating campaigns across multiple channels, including Google Ads, Meta, and programmatic platforms, reduced CAC by 47%. This targeted, data-driven approach increased advertising efficiency, achieving a 5.4x return on ad spend (ROAS).
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