Industry — Telecommunications

Subscriber Data, Unified.
Commercial Intelligence,
Activated.

CALIGO builds the data platforms and analytical models that help telecom operators reduce churn, grow ARPU, protect revenue, and improve network performance — turning high-volume subscriber and usage data into competitive advantage.

Subscriber CDPChurn PredictionCLV ModellingCDR AnalyticsRevenue AssuranceNetwork PerformanceCampaign AnalyticsARPU GrowthFraud Detection
CALIGO in Telecommunications
23%
Churn reduction delivered
18M+
Subscribers on unified platform
140+
Churn & CLV features pre-built
6
Source systems merged in one engagement
Core Capabilities
Unified subscriber data platform
Churn prediction & CLV modelling
Revenue assurance & leakage detection
Network performance analytics
Campaign attribution & optimisation
Real-time usage analytics
Industry Challenges

Telecom Data Is High Volume. Low Intelligence.

Mobile network operators generate extraordinary data volumes — billions of CDRs per day, real-time network events, and subscriber interactions across products and channels. Yet most operators struggle to turn this into commercial intelligence because the underlying data model was designed for billing, not analytics.

Churn is discovered from the exit survey, not from a model that predicted it 90 days earlier. Revenue leakage is identified in a monthly audit, not in real time. Campaign performance is measured by click rate, not incremental revenue. And customer data is scattered across 6 to 8 source systems with no unified view of who the subscriber actually is.

No Unified Subscriber View
CRM, billing, network, and digital are disconnected — no team has a complete picture of a subscriber's behaviour, products, and churn risk.
Churn Found After It Happens
Retention teams discover churn from the exit, not from a scoring model that would have flagged the subscriber 60–90 days earlier when intervention was still possible.
Revenue Leakage Undetected in Real Time
CDR-to-billing reconciliation runs monthly or quarterly — by which point leakage has compounded. Unbilled usage, rating errors, and subscription fraud accumulate undetected.
Campaign ROI Unmeasured
Marketing teams can't attribute revenue to specific campaigns or channels — so spend is allocated by gut feel rather than incremental revenue evidence.
Network Events Don't Connect to Subscriber Impact
Network performance data and subscriber complaint or churn data live in separate systems — making it impossible to understand the commercial impact of network degradation.
How CALIGO Helps

Subscriber Intelligence That Drives Commercial Outcomes.

We build the unified subscriber data platform first — then layer predictive models, revenue controls, and campaign intelligence on top. Every output is designed to connect to a commercial action.

01
Subscriber Data Unification
We design and build the unified subscriber data model — ingesting from BSS, OSS, CRM, billing, and digital — creating a golden subscriber record with full behavioural history.
02
CDR Processing & Usage Analytics
High-volume CDR ingestion, aggregation, and enrichment pipelines — converting billions of raw call records into analytical usage attributes for prepaid, postpaid, and convergent products.
03
Churn & CLV Modelling
ML models trained on 140+ pre-built behavioural features — scoring every subscriber daily for churn propensity and lifetime value, integrated with the CRM and retention campaign engine.
04
Revenue Assurance Controls
Real-time CDR-to-billing reconciliation, unbilled usage detection, and rating error identification — quantifying and reducing revenue leakage before it compounds.
05
Campaign Analytics & Attribution
Campaign performance measurement with holdout groups, multi-touch attribution, and incrementality measurement — allocating budget to channels that generate real revenue.
06
Network-to-Subscriber Correlation
Network performance data correlated with subscriber complaint, churn, and NPS outcomes — giving network and commercial teams a shared view of quality impact.
Relevant Solutions

What We Build
for Telecommunications.

Customer & Commercial Analytics
Unified subscriber CDP, churn prediction, CLV modelling, next best offer, and campaign attribution — the full commercial intelligence stack for MNOs.
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Data Platform & Engineering
High-volume CDR ingestion, subscriber data warehouse, real-time usage pipelines, and billing analytics — cloud-native data platform engineering for MNO scale.
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AI & Advanced Analytics
Churn ML models in production, network anomaly detection, revenue leakage ML, and fraud scoring — all deployed with MLOps monitoring and retraining pipelines.
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Data Governance & Operating Model
Subscriber data ownership, CDR data quality controls, and business glossary — ensuring the data that drives commercial decisions is trusted and consistent.
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DataOps & Platform Operations
Daily subscriber scoring pipelines, CDR ingestion monitoring, and SLA management — keeping the commercial data platform running to the freshness standards campaign teams require.
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Real-Time & Streaming Data
Streaming CDR processing, real-time network event pipelines, and low-latency scoring APIs — for use cases that batch processing cannot support.
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Use Cases

Outcomes We've Delivered
in Telecommunications.

These outcomes were measured against holdout groups or operational baselines. All delivered in MNO production environments.

Telecom · Turkey · CDP
Customer Data Platform — 18M Subscribers, 23% Churn Reduction
Subscriber data unified from 6 disconnected systems into a single CDP. Real-time churn scoring deployed to the CRM daily — enabling targeted retention for each at-risk segment.
23% churn reduction across 18M subscriber base
Telecom · Revenue
Revenue Assurance & Leakage Detection — 2.3% of Gross Revenue Recovered
A real-time CDR-to-billing reconciliation pipeline flagged unbilled usage and rating errors daily — recovering 2.3% of gross revenue that was previously leaking undetected.
Revenue leakage recovered: 2.3% of gross revenue
Telecom · Commercial
Campaign Attribution — Marketing ROI Increased 3.2×
Multi-touch attribution with holdout groups revealed which channels drove real incremental revenue — reallocating spend from high-reach, low-impact channels to high-ROI channels.
Marketing ROI increased 3.2× after channel reallocation
Telecom · CLV
CLV Modelling — ARPU Up 9% Through Value-Based Pricing
A 36-month CLV model across 15M subscribers enabled differentiated pricing and retention investment by customer value band — driving ARPU growth without increasing churn.
ARPU increased 9% through value-based pricing redesign
Telecom · Network
Network Anomaly Detection — MTTR Reduced 41%
Time-series anomaly detection on network performance data predicted degradation events 2–4 hours before service impact — routing alerts to the right engineering team automatically.
Mean time to resolve reduced 41%; proactive interventions up 3×
Telecom · Operations
DataOps for CDP — D+1 Freshness SLA Maintained
CALIGO operates the CDP for a major telecom operator — managing daily ingestion from 6 source systems, maintaining D+1 freshness SLAs, and resolving data incidents with 90-minute MTTR.
D+1 freshness SLA maintained; 90-min incident MTTR
Accelerators

Pre-Built Assets for
Telecommunications.

Industry-specific data models and frameworks that reduce delivery time by up to 60% — built from Telecommunications engagements, ready to adapt to your systems.

Telecom
Telecommunications Data Model
Unified subscriber, usage, billing, and network data model for MNOs — with 140+ pre-built churn and CLV features, revenue assurance logic, and campaign attribution structures.
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Framework
Data Maturity Assessment
Baseline your subscriber data maturity — assessing CDR processing, customer data integration, campaign measurement, and analytics readiness across 8 dimensions in 3–4 weeks.
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Banking
Banking Data Warehouse Model
For MNOs with financial services subsidiaries or mobile money operations — the Banking DWH Model provides the regulatory data structures needed alongside the telecom model.
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Subscriber Data That Drives Revenue.
CALIGO has delivered subscriber CDPs, churn ML systems, and revenue assurance platforms for major telecom operators. Talk to a practitioner who has worked at MNO scale.