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Acquisition & GrowthReal-time

Home Broadband Plans & Technology Optimization

Intelligent HBB plan and technology recommendation (Fiber, VDSL, LTE, 5G-FWA) based on customer profile and network coverage

Target KPIs
3 metrics
HBB activation +25%, Optimal plan match >85%
ML Models
3 models
Decision Trees, Clustering
Time Windows
3 windows
immediate, 7-14d
Data Signals
5 sources
household profile, internet usage

Problem & Business Impact

Operators often propose HBB plans unsuited to customer profile or actual coverage, generating dissatisfaction and churn. Technology choice (Fiber, VDSL, LTE, 5G-FWA) is not always optimized.

Measured impact:

  • +25% HBB activation via personalized recommendation
  • 85% optimal plan match (usage/price satisfaction)

  • +15% customer satisfaction (NPS)
  • -12% HBB churn at 6 months

Data & Key Features

Main data sources

  • Household profile: family size, children presence, age, socio-professional category
  • Internet usage: usage profile (streaming, gaming, remote work)
  • Network coverage: Fiber, VDSL, LTE, 5G-FWA availability + quality
  • Local competition: competitor offers, market shares
  • Payment capacity: estimated income, price sensitivity
  • Existing mobile: mobile customer (bundle opportunity)

Engineered features

  • HBB propensity score (0-100)
  • Optimal technology (Fiber > VDSL > 5G-FWA > LTE)
  • Recommended plan (speed, price, commitment)
  • Mobile+fixed bundle potential
  • Competition sensitivity
  • Offer acceptance probability

Models & Methods

Multi-model architecture

  1. Decision Trees: Optimal technology selection

    • Input: address, coverage, usage profile
    • Output: Fiber / VDSL / LTE / 5G-FWA + expected quality
    • Integrated business rules (Fiber priority if available)
  2. Clustering (K-means): Household profile segmentation

    • Segment 1: Connected family (streaming, multi-device)
    • Segment 2: Intensive remote work (upload critical)
    • Segment 3: Basic usage (email, browsing)
    • Segment 4: Gamers (latency critical)
    • Segment 5: Seniors (simplicity, support)
  3. Recommender System: Optimal plan

    • Collaborative filtering + content-based
    • Predicted usage vs. available offers matching
    • Satisfaction/price optimization

Decision matrix

| Profile | Priority tech | Plan type | Speed | |---------|--------------|-----------|-------| | Connected family | Fiber / 5G-FWA | Unlimited | 100-500 Mbps | | Remote work | Fiber / VDSL | Premium Upload | 50-200 Mbps | | Basic usage | VDSL / LTE | Eco | 10-50 Mbps | | Gamers | Fiber only | Ultra low-latency | 200-1000 Mbps | | Seniors | Fiber / VDSL | Simple + support | 30-100 Mbps |

Real-time Integration

HBB acquisition journey

HBB lead (web, retail, call center)
     ↓
Address verification → Network coverage API
     ↓
Household profile scoring (light questionnaire)
     ↓
Technology + optimal plan recommendation
     ↓
Price simulation, installation, activation
     ↓
One-click subscription or technician appointment

Offer personalization

  • Technology available at address (real-time)
  • Profile-adapted plan (speed, price, options)
  • Mobile+fixed bundle if mobile customer
  • Targeted promotion based on price sensitivity
  • Proposed installation date (agenda optimization)

KPIs & Performance Targets

| Metric | Target | Current | |--------|--------|---------| | HBB activation | +25% | +27% | | Optimal plan match | >85% | 87% | | NPS satisfaction | +15% | +17% | | 6-month churn | <12% | 10% | | Bundle attach rate | >40% | 43% |

Deployment & Monitoring

Operational workflow

  1. Coverage verification: Real-time network API
  2. Prospect scoring: Profile + propensity
  3. Recommendation: Tech + plan + bundle
  4. Technical validation: Installation feasibility
  5. Subscription: Signature + payment
  6. Planning: Optimized installation appointment
  7. Activation: Service quality tracking

Post-activation monitoring

  • D+7: Service quality (actual vs. promised speed)
  • D+30: Satisfaction (NPS), usage conformity
  • D+90: Early churn detection, proactive interventions
  • D+180: Upsell (plan upgrade if under-dimensioned)

Continuous improvement

  • Feedback loop: satisfaction → recommendation adjustment
  • Drift detection: household profile evolution
  • Network coverage update (new Fiber zones)
  • Algorithm optimization based on actual performance

FAQ & Prerequisites

Q: Requires network coverage database? A: Yes, real-time API or address database with available technologies.

Q: Multi-technology compatible (Fiber, LTE, 5G)? A: Yes, that's the goal: optimal recommendation based on availability and profile.

Q: Integration with OSS/BSS systems? A: REST API for coverage verification, provisioning, activation.

Q: Deployment timeline? A: 3-4 months (coverage API integration, profiling, subscription workflow).

Q: Expected ROI? A: +20-30% activations, -15% churn → 4:1 ROI over 12 months.

Quick Facts

Category
Acquisition & Growth
Main KPIs
HBB activation +25%Optimal plan match >85%Satisfaction +15%
ML Models
Decision TreesClusteringRecommender Systems
Real-time Capability
Real-time decisioning

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