Data-Driven Marketing Support to Overcome Stagnant Sales for E-Commerce Companies
Leveraging cluster analysis and AI-powered high-spot reviews to achieve early improvements
- Analytics Team
01.
Client Challenge
The client is an e-commerce company operating multiple online sales channels.
While overall traffic remained steady, sales in specific product categories stagnated for several months, leading to a deterioration in advertising return on ad spend (ROAS).
The challenges stemmed from advertising creatives failing to adapt to shifts in target segments and inadequate utilization of relevant data.
02.
Massive Act's Approach
We integrated customer data with advertising performance data to conduct behavioral analysis by customer segment. This identified segments with high purchase frequency and churn rates.
Furthermore, we proposed optimizations for creative assets and messaging within advertising campaigns.
Through repeated A/B testing, we determined the most effective combinations to ensure each segment received the optimal advertising.
03.
Project Outcomes
Achieved a 30% sales increase over two months in a product category experiencing stagnant sales.
ROAS also improved by 25% compared to previous levels, successfully reducing advertising costs.
Furthermore, customer retention rates increased by 12%, confirming an improvement in long-term LTV (Customer Lifetime Value).