Case Study |

Healthcare & Life Sciences

AI-Powered Patient Growth & Lifetime Intelligence

Shipping Impact: Lower CAC, stronger bookings, higher repeat visits — with transparency at every step

AI Transformation
Decision Intelligence
Workflow Automation
CRM Enablement
Growth & Retention
See it in action

Executive Summary

NeuSix partnered with a multi-location healthcare network (hospitals and specialty/aesthetic clinics) to build an end-to-end Patient Growth & Lifetime Intelligence system—a governed AI layer that improves performance across the full patient lifecycle:

Acquire → Convert → Retain → Grow

Instead of optimizing campaigns in isolation, the organization moved to a measurable operating system connecting:

  • Lead + campaign intelligence
  • Persona-driven engagement
  • Sales enablement with contextual scripts and objection handling
  • CRM-ready call summaries and next-best-actions
  • Lifetime intelligence (repeat, LTV, churn risk) with automated reactivation

Outcome Highlights

36% consult booking conversion rate achieved

-22% CAC reduction

2.8x ROAS uplift

+15 locations deployed

Client Context

The client operates a network of hospitals and specialty clinics across multiple locations. Patient acquisition and conversion happen through a blend of:
  • Paid + organic campaigns
  • Web forms and inbound calls
  • WhatsApp/chat conversations
  • Contact center / front-desk follow-ups
  • CRM logging and appointment scheduling

Leadership’s goal was to build a repeatable growth engine that drives consistent outcomes across locations while remaining governed, measurable, and operationally adoptable.

The Challenge

Despite strong demand, performance varied widely across locations even with similar marketing investments.

Key bottlenecks

  • Leads arrived with inconsistent data and duplicates
  • Limited visibility into what drives bookings (beyond dashboards)
  • Uneven follow-up discipline and conversion handling across teams
  • No persona-driven approach to engagement and call flows
  • Scripts and objection handling depended heavily on individual skill
  • Post-consult / post-treatment lifecycle was under-leveraged: repeat visits, dormant users, churn risk, and cross-sell

What NeuSix Shipped

NeuSix shipped a modular system spanning acquisition, conversion, and lifetime value—designed for multi-location healthcare operations.

Pillar A — Lead & Campaign Intelligence (Acquire)

  • Lead ingestion + validation + enrichment
  • De-duplication and unified lead schema
  • AI scoring engine (conversion likelihood + score drivers)
  • Persona clustering (tone, budget sensitivity, urgency)
  • Campaign intelligence and channel optimization
  • Segmenting for targeting and retargeting

Pillar B — Sales Enablement & Script Intelligence (Convert)

  • AI Script Generator — contextual call script based on lead score, persona, interest, and budget sensitivity
  • Persona-Based Script Customization — adjust tone (luxury / price-sensitive / urgency-driven)
  • Objection Handling AI — real-time rebuttals (price, time constraints, trust, alternatives)
  • Call Summary Generator — structured notes auto-created for CRM logging
  • Conversion Recommendation Engine — next best action (discount / follow-up timing / alternate service)
  • Script Performance Analytics — track which scripts drive higher booking rates

Pillar C — Customer Lifetime Intelligence (Retain & Grow)

  • Repeat Purchase Prediction — repurchase probability based on history and service type
  • Dormant User Detection — identify customers inactive after X days post-service
  • Cross-Sell Recommendation — suggest next best treatment/service
  • Reactivation Trigger Automation — WhatsApp/Email/SMS based on probability drop or dormancy
  • Churn Risk Alerts — flag reduced engagement or negative sentiment signals
  • Retargeting Audience Sync — push dormant/high-LTV segments to Meta/Google Ads

Harnessing AI to create relevance, not just competence

How It Works (Lifecycle Flow)

A cockpit view provides real-time measurement of processing times, queue health, and corrective action effectiveness.

Stage 4:

Measure and Improve (Transparency)

  • Leads from ads/forms/calls/WhatsApp enter a unified pipeline
  • Data is validated, standardized, and de-duplicated
  • Leads are scored and clustered into personas
  • Campaign intelligence identifies what works and what wastes spend
  • Segments are synced to ad platforms for improved targeting and retargeting

Stage 1

Acquire (Lead + Campaign Intelligence)

  • When a lead is assigned, the contact center / sales team receives a dynamic script tailored to: lead score, persona, interest area, and budget sensitivity
  • Script tone auto-adjusts based on persona positioning
  • Objection handling AI suggests real-time responses during calls
  • Post-call, the system generates a CRM-ready call summary
  • Next-best-action engine recommends follow-up timing, offers, or alternatives
  • Script analytics connects scripts to booking outcomes and creates an improvement loop

Stage 2

Convert (Script Intelligence + Conversion Decision Support)

  • Customers are scored for repeat probability, churn risk, and LTV
  • Dormant customers are detected and flagged
  • Cross-sell recommendations are generated based on history
  • Reactivation triggers run targeted WhatsApp/Email/SMS campaigns
  • Segments are synced to ad platforms for lifecycle retargeting

Stage 3

Retain & Grow (Lifetime Intelligence + Reactivation Automation)

Outcomes (What Changed)

Performance Outcomes (representative)

  • 36% consult booking conversion rate achieved
  • -22% reduction in CAC
  • 2.8× ROAS uplift

Performance Outcomes (representative)

  • Standardized workflows across 15+ locations
  • More consistent conversion outcomes across teams
  • Improved call consistency using scripts + objection support
  • Better CRM hygiene via automated call summaries
  • Clearer visibility into ROI drivers (channel → persona → script → booking)

Lifetime Outcomes (typical impact areas)

  • Increased repeat visits through prediction + targeted reactivation
  • Higher LTV through cross-sell recommendations
  • Reduced churn risk through early alerts and intervention

What We Measured

Acquisition

CAC, ROAS, lead quality index, lead-to-contact SLA

Conversion

consult booking conversion rate (overall + by persona), script performance, objection patterns, follow-up compliance

Retention

repeat rate, dormant % trend, reactivation conversion, churn risk distribution, LTV uplift

Governance, Trust & Reliability

  • Role-based access controls for lead and customer data
  • Audit trails for AI recommendations (why a lead was scored / why an action was suggested)
  • Monitoring for data pipeline health and drift signals
  • Human-in-the-loop controls for discounting and sensitive actions
  • Standardization templates to scale adoption across locations

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