Telecom

Telecom CDP | Subscriber-First Customer Data Platform

Telecom operators sit on more behavioural data than almost any other industry, yet most of it stays trapped inside billing systems, network logs, app analytics, and care platforms that rarely talk to each other. A purpose-built customer data platform unifies subscriber, usage, and network signals into a single live profile, so marketing, care, and revenue teams can act on what each subscriber actually needs instead of working from yesterday's reports.

Telecom

Unified subscriber profiles

Bring prepaid and postpaid records, family plans, device data, recharge history, and app behaviour into one connected view per subscriber.

Real-time usage signals

Capture data sessions, voice patterns, roaming events, and recharge activity as they happen, so engagement reflects current behaviour and not yesterday's snapshot.

Cross-stack data unification

Connect BSS, OSS, CRM, the self-care app, IVR, retail POS, and digital channels into one resolved customer record without ripping out existing systems.

Subscriber intelligence in context

Turn raw call detail records and clickstream data into clear signals about intent, satisfaction, and revenue risk that any team can act on.

Trusted by thousands

Success Quantified

Real results from real customers—measured across ROI, growth and retention

500+

satisfied clients globally

98%

clients satisfaction

5x

ROI for clients

2x

more conversion

Core technology built for telecom-scale data

The infrastructure handles the volume, speed, and identity complexity that telecom workloads demand, from CDR streams running into the billions to subscribers who change SIMs, devices, and plans on a regular basis.

Multi-identifier resolution

Multi-identifier resolution

Stitch identities across MSISDN, IMSI, IMEI, email, account ID, and app login. When a subscriber changes their number, upgrades a device, or adds a family line, the profile stays intact.

Telecom-native data model

Telecom-native data model

Pre-built schemas for subscribers, plans, usage events, recharges, complaints, and devices mean teams skip months of modelling work and start activating data quickly.

Streaming profile updates

Streaming profile updates

A recharge at a retailer, a data pack exhausted at midnight, a complaint logged on the app — every event flows into the profile within seconds and is available for triggers, segmentation, or care lookups.

How AI sharpens telecom engagement

The patterns hidden in usage, recharge, and network data are too dense for rule-based segmentation to handle well, and that is where models earn their place.

Churn prediction at the subscriber level

Models score each subscriber's likelihood to port out or stop recharging, using signals like declining data usage, dropped calls in their location, and reduced app logins. Retention teams get a daily ranked list instead of reacting after the port-out request lands.

From unified profiles to telecom revenue impact

A live subscriber view changes what marketing, care, and revenue teams can do day to day. The gains show up in retention numbers, ARPU, and the cost of care.

Reach at-risk subscribers before they port out, with offers and gestures shaped by their actual usage and not by a generic save-desk script.

Recommend data packs, OTT bundles, and plan upgrades that match each subscriber's consumption pattern, instead of blasting the same promo to everyone with a low balance.

Give agents a single screen with the subscriber's plan, recent usage, payment history, recent complaints, and current network status, so they stop asking the same questions on every call.

The recharge nudge on SMS, the offer in the self-care app, and the script the retail store sees are all driven by the same profile and segmentation logic, so the subscriber experience does not contradict itself across touchpoints.

FAQ section image

Network and billing event streaming

Telecom data does not arrive in tidy daily batches. Recharges, data sessions, voice calls, OTT events, and network alarms generate constant high-volume streams. The platform ingests CDRs, billing events, and OSS signals at line rate, normalises them against the subscriber profile, and makes them available for activation in seconds. No staging delays. No overnight ETL waits.

Automate your campaigns

Compliance and subscriber consent management

Telecom operates under strict rules — TRAI commercial communication regulations, DND scrubbing, KYC obligations, GDPR for international subscribers, lawful intercept requirements — and the platform is built to honour all of them. Consent is captured per channel and per category, applied automatically before any campaign goes out, and audit logs are maintained for every data access and message sent. Compliance becomes part of the workflow rather than a separate scramble at audit time.

Segment target and sell effectively

Your data remains in your control

Trusted by teams worldwide

NVECTA operates without duplicating or storing your data. Instead, we securely read directly from your existing data warehouse—so your data stays safe and untouched.

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Seamless Integrations. Enterprise Ready

Connect your data, systems, and tools through 100+ reliable integrations, built to unify your stack and scale with your business.

FAQ section

A telecom customer data platform unifies subscriber profile data, usage and network events, billing and recharge history, and digital channel behaviour into a single live record per subscriber. Engagement, care, and analytics teams can use this record directly without waiting on data engineering.

BSS handles billing and provisioning. CRM stores account and case data. Neither is built to unify high-volume usage events, app behaviour, and network signals in real time. The CDP sits across these systems, resolves identities, and gives every team a unified view without replacing what already works.

Yes. The platform is built for telecom-scale streaming and is designed to process billions of CDR and event records per day, with profiles updating in seconds rather than batches.

We resolve across MSISDN, IMSI, IMEI, account ID, email, and app login. When a subscriber swaps a SIM or upgrades a handset, the historical profile follows them rather than splitting into a new record.

Yes. The data model handles prepaid recharge cycles, postpaid billing cycles, family plans, enterprise accounts, and hybrid setups within the same profile structure.

It scores each subscriber's churn risk daily based on usage decline, recharge gaps, network experience, and care interactions, then triggers retention campaigns or care outreach before the subscriber initiates port-out.

TRAI DND scrubbing, consent capture per channel and per category, KYC linkage, and GDPR subject-rights workflows are built into the platform. Audit logs cover every data access and outbound message.

Yes. The platform connects directly to Snowflake, BigQuery, Redshift, and on-prem warehouses, so unified profiles can sit on top of your existing data infrastructure without forced migration.

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Telecom CDP | Customer Data Platform for Telecom Operators