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Mangopay
Mangopay is a company specializing in payment solutions for e-commerce sites. They sought to optimize their digital strategy and maximize the performance of their websites, mangopay.com and hub.mangopay.com.
Mission:
Our mission was to implement a comprehensive strategy with Google Analytics, focused on inbound marketing, and to initiate an advertising campaign to improve visibility and conversion.
Challenges:
- Optimizing the Conversion Funnel: Track and improve the conversion funnel for inbound marketing on mangopay.com and hub.mangopay.com.
- Correlating Traffic Sources and Visitor Behavior: Identify the most effective traffic sources and understand visitor behavior based on these sources.
- Measuring the Distinction Between Prospects and Returning Members: Track the differentiated behavior between new prospects and returning members on the sites.
- Monthly Reports and KPIs: Provide monthly reports with key performance indicators (KPIs) to evaluate performance and trends.
Solution:
- Google Analytics Setup: Comprehensive setup of Google Analytics for both e-commerce sites to track the conversion funnel accurately.
- Advertising Campaign: Launched a targeted advertising campaign to increase visibility and improve conversion rates.
- Traffic Source Analysis: Utilized Google Analytics to analyze the correlation between traffic sources and visitor behavior/performance.
- Monthly Reports and KPIs: Generated monthly reports detailing KPIs and performance evolution with specific recommendations for improvement.
Results:
- Optimized Conversion Funnel: Significant improvement in conversion rates through strategic adjustments in the funnel.
- Traffic Sources and Behavior Correlation: Identified the most effective traffic sources, enabling optimized advertising investments.
- Prospects vs. Returning Members: Gained better insights into the differentiated behavior of new prospects versus returning members, allowing for personalized adjustments.
- Informative Monthly Reports: Provided clear performance insights with specific recommendations for future improvements.