Driving 25% Higher Revenue per Lead in Large-Scale Insurance Sales Using AI Roleplay Training

Accelerating Revenue-Ready Insurance Sales Conversations at Scale

India’s largest online insurance aggregator operates across health, life, and motor insurance with a rapidly scaling inside sales team handling high inbound lead volumes daily.
In this high-velocity environment, early sales readiness directly impacts revenue per lead, closure rates, and agent attrition.

However, traditional onboarding relied heavily on minimal mock practice, manual feedback, and on-the-job learning, leaving new agents underprepared for real customer conversations. This resulted in long ramp times, inconsistent pitch execution, high early attrition, and delayed revenue realization.

To solve this, the organization partnered with Eubrics to deploy AI Roleplay Sales Training, enabling deliberate practice, predictive coaching, and faster time-to-productivity across cohorts.

The organization set out to:

• Compress the 90-day ramp-up period to faster sales readiness

• Increase closure rates through better pitch structure and objection handling

• Improve revenue per lead without increasing lead volume

• Reduce early-stage attrition caused by low confidence and call fatigue

• Replace limited, trainer-dependent feedback with scalable, objective coaching

AI Roleplay Sales Training for High-Volume Insurance Inside Sales

The organization implemented Eubrics’ AI Roleplay Sales Bot to standardize and scale insurance sales readiness.

Deliberate Practice Before Live Calls

Agents completed 15–20 AI-led roleplays, providing 5+ hours of realistic practice before their first live customer conversation.

Real-Time Pitch Correction & Predictive Coaching

AI monitored pitch flow, detected missed steps, and surfaced performance signals linked to closure outcomes.

Granular, Objective Feedback at Scale

Each agent received 350+ structured AI feedback points, far exceeding the ~10 manual feedback inputs previously available.

Early Risk & Attrition Detection

Predictive signals identified struggling agents early, enabling targeted coaching before productivity dropped or attrition occurred.

Reduced Trainer Dependency

AI replaced repetitive onboarding and OJT, allowing trainers to focus on advanced selling skills rather than basic corrections.

The AI-led sales readiness model delivered measurable commercial impact:

25% Increase in Revenue per Lead

Improved pitch quality and control increased value extracted from each inbound opportunity

19% Closure Rate Uplift

More wins per 100 sales conversations through stronger execution

Ramp Time Reduced to 15 Days

Time-to-first-closure compressed to 1/6th of the earlier onboarding cycle

Higher Lead Throughput per Agent

Monthly leads handled per agent increased from 3–4 to 5

Lower Early Attrition

Predictive coaching reduced >40% early-stage attrition seen in the first 90 days

ROI driven by faster ramp, higher closures, and greater yield per lead.

By moving from manual onboarding to an AI-driven, practice-first sales readiness engine, the organization achieved:

• Faster revenue capture from new sales cohorts
  
  

• Consistent coaching quality across a large inside sales team
  
  

• Reduced early attrition before productivity loss
  
  

• Improved confidence in high-pressure insurance sales conversations
  
  

• Scalable performance improvement without increasing trainer or manager overhead

This case study shows how large insurance sales organizations can use AI roleplay sales training to compress ramp time, improve closure rates, and drive higher revenue per lead—at scale.

With Eubrics AI, the organization cut ramp time to 15 days, lifted closures by 19%, and increased revenue per lead by 25% -while reducing early attrition and scaling coaching quality without increasing trainer overhead.

The result: a faster, more resilient, and performance-driven insurance sales engine powered by AI roleplay training.