Insurance Carrier Identifies Leads 7x More Likely to Convert with LexisNexis® Lead Optimizer
Company Size
1,000+
Region
- America
Country
- United States
Product
- LexisNexis Lead Optimizer
- LexID
- LexisNexis Marketing Risk Classifier
Tech Stack
- Advanced Analytics
- Predictive Models
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Data Mining
- Analytics & Modeling - Predictive Analytics
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Replenishment
Services
- Data Science Services
- System Integration
About The Customer
The customer is a national multi-line writer of auto, home, life, and umbrella insurance. The carrier writes in excess of $1.5 billion in annual premium. As a significant player in the insurance industry, the company deals with a vast number of leads, both purchased and organically generated from its own website. Despite the volume, the company faced challenges in lead validation, which is a common pain point for insurance marketers. The carrier's agents and call center staff were burdened with the laborious task of verifying leads, which often contained false or missing information or were duplicates. This inefficiency was not only time-consuming but also costly, affecting the overall productivity and effectiveness of the marketing efforts.
The Challenge
A leading multi-line carrier was facing significant issues verifying leads, despite working hard to develop a robust lead generation program. While a plentiful supply of leads were being generated via the company’s website, the contact information was often incomplete or inaccurate. The company’s agents were spending considerable time and energy trying to prioritize and contact potential customers with sporadic success. The process was not only causing agent fatigue, it was proving to be costly and inefficient.
The Solution
Using LexID®, LexisNexis was able to identify, link, and organize lead information, including aliases, name, and address changes. This unique identifier helped in ensuring a prescribed level of identity verification. The insurer took advantage of the robust lead and insurance-specific qualifying capabilities of Lead Optimizer. By incorporating additional LexisNexis predictive models into its configuration of Lead Optimizer, the insurer gained valuable insights into predicted quoting and conversion behavior. This helped the insurer maximize its marketing ROI by focusing on higher-quality leads. The solution also included the use of LexisNexis Marketing Risk Classifier to segment marketing campaigns and prioritize incoming leads based on the risk of the identified population. This further enhanced the insurer's ability to focus on leads with the highest potential for conversion, thereby improving overall efficiency and effectiveness.
Operational Impact
Quantitative Benefit
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