Increased Campaign Relevance: By creating personalized campaigns, the retail company achieved a 20% increase in customer engagement and a 12% increase in average transaction value.
Operational Efficiency: The automated data integration and segmentation process reduced manual effort by 60%, allowing marketing teams to focus more on strategy and creativity.
Higher Customer Retention: Personalized marketing campaigns resulted in a 15% increase in customer retention by offering more relevant offers and experiences.
Business Challenge:
Marketing teams face difficulties delivering targeted and personalized marketing campaigns due to scattered data across CRM systems, e-commerce platforms, and customer interaction channels. Without unified data, it’s challenging to segment customers effectively based on demographic, behavioral, and transactional data. This fragmentation leads to generic campaigns that lack relevance, resulting in lower engagement and missed revenue opportunities.
Solution:
Syntes AI solves this challenge by enabling marketing teams to segment customers into distinct groups based on demographic, behavioral, and transactional data. By utilizing Syntes AI’s graph database and generative AI, teams can identify key customer segments and patterns, allowing for the creation of highly personalized marketing campaigns and offers. The platform also provides no-code/low-code data connectors for easy integration of various data sources.
Key Features for Marketing Teams:
Steps to Implement:
Summary:
Syntes AI’s advanced customer segmentation capabilities empower businesses to deliver highly personalized marketing campaigns, driving improved customer engagement, increased revenue, and enhanced customer loyalty. With its automated data integration and AI-driven insights, Syntes AI significantly enhances operational efficiency, enabling marketing teams to make smarter, data-driven decisions.