Intelliarts Publishes New Research Paper: Top Best Practices for Predictive Lead Scoring

Intelliarts, a reputable provider of AI and ML development services, has released a new white paper "Elevating Your Insurance Sales: Top Best Practices for Predictive Lead Scoring". The research paper dwells on the value of using machine learning for insurance lead scoring, its examples, and best practices shared by the Intelliarts expert team.

Many insurance companies struggle with the same challenges: lack of qualified leads, unsuccessful sales, and wasted time of agents who contact low-motivated leads. Predictive lead scoring could be a perfect solution for all the mentioned, granting businesses with more qualified leads, real-time updates to lead profiles, and less time and effort expected from agents.

With a vast domain expertise in insurance, Intelliarts' ML specialists share their experience in implementing predictive lead scoring. Thus, the white paper offers a wealth of knowledge for the businesses that:

- Are still at the discovery stage and want to learn more about the benefits of automated lead scoring
- Weigh on various solutions, including predictive lead scoring, and would like to know about real-life cases
- Decided to introduce predictive lead scoring to their value chain and look for practical tips for implementation

"The most impressive thing about Intelliarts was their willingness to learn about our business so that they could build the most effective models." - VP Product, Digital Insurance Agency

You can download the white paper by following the link https://intelliarts.com/blog/predictive-lead-scoring-in-insurance-white-paper/

Intelliarts
7, Kotyka Str
79014
Lviv, Ukraine

Intelliarts is a reliable technology partner for businesses across the globe that promotes and helps with digital transformation and innovation initiatives. The company offers AI development services and builds full-cycle data-driven and ML-powered software solutions.

This release was published on openPR.