Element / General - Customer 720
Customer 720
Problem :
Financial institutions often struggle with siloed and incomplete customer data spread across multiple systems-credit history, transaction patterns, demographics, complaints, product holdings, and digital behavior. This fragmented view makes it difficult to understand customer lifetime value, identify churn risks, or deliver personalized offers. High-value customers may disengage without warning, while valuable cross-sell opportunities are missed due to lack of timely insight. Additionally, marketing and relationship managers lack the tools to act on insights in real time, leading to inefficient campaigns, low conversion rates, and declining customer loyalty in a highly competitive financial services environment.
Solution :
Customer 720 is Element’s AI-driven customer engagement and analytics platform designed to give financial institutions a 360° and forward-looking view of each customer. Powered by advanced data integration, machine learning, and natural language querying, the platform unifies data from core banking, CRM, payment systems, and external sources into a single intelligent layer. Key capabilities include:
- Customer Lifetime Value (CLV) Intelligence: Consolidates customer behavior, product usage, and historical interactions to compute CLV and identify high-impact customers.
- Proactive Retention: Predictive models flag customers at risk of churn and automatically trigger personalized, multi-channel retention campaigns.
- Cross-Sell/Upsell Optimization: AI surfaces contextual offers aligned with life stage, transaction patterns, and channel preferences—empowering RMs and marketers with intelligent targeting.
- Automated Onboarding Insights: Enhances digital onboarding journeys with contextual nudges, compliance checks, and personalized product suggestions based on user behavior.
- Community Engagement Mapping: Identifies geographic and demographic trends across customer clusters, enabling location-sensitive offerings and hyperlocal campaigns.
- Natural Language Search & Insights: Teams can ask intuitive questions like “Who are my top 100 customers in the SME segment by revenue potential?” or “Which accounts have reduced credit card spend this quarter?” and get real-time answers.
- Integrated Reporting Dashboards: Role-based views allow product heads, RMs, and executives to track engagement, campaign success, CLV trends, and conversion benchmarks.
Outcome :
With Customer 720, financial institutions unlock data-driven engagement at scale. Relationship managers and marketing teams are equipped with actionable insights, increasing retention of high-value customers, improving offer relevance, and boosting conversion. Institutions gain a unified, predictive view of the customer that supports cross-sell, reduces churn, and enhances loyalty. Campaigns are more targeted and timely, CLV becomes a tangible decision metric, and operational silos are broken down across departments. Most importantly, customers feel understood and valued-leading to stronger relationships, greater wallet share, and long-term growth.