FTTH Providers

Behavioural Intelligence
for Fibre Operators

Grow revenue, reduce churn, and optimise pricing across contract and prepaid — powered by behavioural AI built for fibre's unique customer dynamics.

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Cluster AI
Churn prediction modelling
↑ ARPU
Smart bundling & upsell
Laffer Curve
Optimal price per segment
Real-time
Trigger-based interventions

AI-powered solutions across the full fibre customer lifecycle

Digitata's behavioural intelligence platform gives fibre operators the tools to grow revenue and retain customers — across contract services, prepaid, and every customer interaction in between.

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Contract Services

Optimise revenue upliftment and customer lifecycle management

  • Behavioural Segmentation & Personalisation
  • Upsell & Cross-sell Campaigning
  • Service Feedback & Operational Insights
  • Smart Pricing Optimisation
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Prepaid Services

Optimise lifecycle and upsell on prepaid customers

  • Upsell Trigger Journeys Based on Usage & Spend
  • A/B Messaging Optimisation by Segment
  • First-Time Buyer Conversion
  • Geographic & Income-Based Dynamic Pricing
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Churn Management

Predict, prevent, and recover at-risk customers

  • Churn Risk Prediction Using Cluster Modelling
  • Microsegmented Retention & Incentive Campaigns
  • Call Centre Insight Enrichment
  • Automated Save Journeys
Contract Services

Optimise revenue upliftment and customer lifecycle

Behavioural intelligence to identify, personalise, and act — turning usage and spending data into revenue-growing interactions.

Behavioural Segmentation & Personalisation

How It Works
Track customer spending behaviour and usage patterns to identify power users, dormant users, and cost-sensitive segments.
Outcome
Send high-usage customers upgrade offers while targeting infrequent users with incentives to boost engagement and reduce churn risk.

Upsell & Cross-sell Campaigning

How It Works
Run targeted campaigns based on historical purchase and usage data to improve ARPU through smart bundling and tailored offers.
Outcome
Customers on basic plans receive automated campaigns promoting higher-speed tiers or added services like streaming bundles — at exactly the right moment.

Service Feedback & Operational Insights

How It Works
Monitor call centre logs and fault reporting behaviour to proactively resolve frequent pain points and improve the service experience.
Outcome
When complaints spike in a specific suburb, automatically prioritise infrastructure improvement and send proactive reassurance messages to affected customers.

Smart Pricing Optimisation

How It Works
Implement geographic, income-level, and area-based behavioural economics segmentation to tailor pricing by local context.
Outcome
Offer discounted rates in high-density, low-income zones to increase adoption — while positioning premium packages in affluent areas where willingness-to-pay is higher.
Churn Management

Predict, prevent, and recover at-risk customers

Consolidate behavioural, billing, and service data to build accurate churn models — and automate the interventions that save customers before they leave.

Churn Risk Prediction Using Cluster Modelling

How It Works
Consolidate data from billing, usage, location, tenure, and product type. Train a churn cluster model using behavioural economics principles to score each customer on their probability of leaving.
Outcome
Early detection of at-risk users with data-driven targeting for proactive engagement — before customers even consider leaving.

Microsegmented Retention & Incentive Campaigns

How It Works
Segment churn-prone users into value clusters — e.g., high-value frequent complainers vs. low-engagement discount seekers — and deploy targeted save offers tailored by churn driver and customer value.
Outcome
Reduces unnecessary blanket discounting. Protects margins while optimising saves — the right offer to the right customer, not a discount for everyone.

Call Centre Insight Enrichment

How It Works
Integrate NPS scores, complaint resolution time, escalation frequency, and fault history. Use text mining on call logs to tag dissatisfaction themes and correlate directly with churn data.
Outcome
Deeper understanding of the "why" behind churn — enabling faster service recovery, proactive outreach, and meaningful satisfaction improvement.

Automated Save Journeys

How It Works
Triggers include data usage drops, repeated helpdesk calls, or paused payments. Automated workflows deliver escalating interventions: a helpful nudge, then a personal call, then an incentive.
Outcome
Saves customers before churn happens. Boosts CSAT by solving problems early — with empathy and relevance, not just discounts.
Dynamic Pricing

The right price, for the right customer, at the right time.

Digitata's dynamic pricing engine uses AI-powered Laffer Curve modelling to find the revenue-maximising price point for each customer segment — so you're not leaving money on the table or pricing customers out of the market.

Powered by AWS prediction infrastructure and years of machine learning across telecoms datasets, the engine responds to market dynamics, customer demand, and external events in real time.

  • ✓ Laffer Curve optimisation calculated per customer segment
  • ✓ AI & machine learning across years of telecoms behavioural data
  • ✓ Responds to market dynamics and external events in real time
  • ✓ Powered by AWS prediction infrastructure
  • ✓ Personalised pricing — not one-size-fits-all
Dynamic Pricing Engine Laffer Curve per segment — revenue optimised PRICE RATE REVENUE Segment-A | Optimal price ■ Segment A ■ Segment B ■ Segment C ● Optimal
Prepaid Services

Optimise lifecycle and upsell on prepaid customers.

Prepaid fibre customers represent a significant growth opportunity — if you can identify the right moment to nudge them toward higher-value plans. Digitata's behavioural models track top-up frequency, usage patterns, and browsing behaviour to trigger personalised upsell journeys automatically.

  • ✓ Upsell Trigger Journeys — monitor usage and spend to drive conversion to premium plans, increasing ARPU
  • ✓ A/B Messaging Optimisation — test tone, language, and CTAs by segment to refine campaigns based on evidence, not assumption
  • ✓ First-Time Buyer Conversion — automated onboarding journeys for low-usage prepaid users to build long-term loyalty
  • ✓ Income-Based Dynamic Pricing — low-cost starter plans in price-sensitive areas, premium positioning where willingness-to-pay is higher
Prepaid Upsell Journey Automated trigger-based conversion 1 Behavioural trigger detected Usage spike · Top-up frequency ↑ · Competitor data 2 Personalised offer generated Right plan · Right channel · Right message 3 Customer converts to higher plan ↑ ARPU · Long-term loyalty · Reduced churn risk A/B tested · Automated · Continuously optimised AUTOMATED

Additional FTTH capabilities

Leveraging Digitata's full data analytics and AI platform — purpose-built for fibre operators.

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Predictive Tools

AI models that predict customer behaviour and network issues before they happen — enabling proactive management at every level of your operations, from individual customers to infrastructure planning.

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Customer Behaviour & Marketing Analytics

Deep analytics on how customers interact with your service — powering smarter campaigns, better segmentation, and more effective marketing spend. Understand not just what customers do, but why.

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Dynamic Package Optimisation

Intelligent capacity allocation, strategic wholesale incentives, and dynamically priced packages that adapt to market conditions and demand signals — maximising revenue across your product portfolio.

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Advanced Network Utilisation Insights

Visibility into how your network is actually being used — by segment, area, and time of day — to inform infrastructure investment decisions and maintain the service quality your customers expect.

Ready to turn fibre customer data into competitive advantage?

Speak to a Digitata specialist about applying behavioural intelligence across your FTTH business.

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