Telecommunications

Subscriber Insights. Zero Exposure.

Unlock Carrier Data Value
Without Losing Control

Carriers hold the richest behavioral and location data in the world. Placino lets you monetize it, optimize networks, and prove CTV attribution, all without exposing a single subscriber record.

$43M

Modeled ROI Potential

58%

Faster Incident Resolution

3.5x

Data Revenue Premium

Modeled scenarios based on platform capabilities, not customer results.

CDR DataCDR DataChurn SignalsChurn SignalsSubscriberSubscriberSegmentsSegmentsFootfallFootfallRetentionRetentionTelco ACDR DataUsage PatternsTelco BChurn SignalsNetwork DataMVNOSubscriberBilling DataAd TargetingSegmentsAudiencesLocation IntelFootfallMovementChurn PredictRetentionWin-BackPLACINOEncrypted MatchZero PII ExposedEncryptedEncryptedInsightModeled ROI: $42M34% churn reduction · 2.8x ARPU improvement34%Churn Down$42MROI Impact2.8xARPU Lift
Explore Use Cases

The Telecom Data Paradox

Carriers own the most valuable signals in digital advertising, but cannot safely monetize or share them.

BEFORE PLACINO

Monetization Gap

Carriers sit on the richest behavioral and location data in the world, but privacy regulations and trust concerns prevent direct monetization.

Impact

$18B in untapped carrier data value globally

BEFORE PLACINO

Coverage Blind Spots

No single carrier can see the full network picture. Coverage gaps between operators go undetected, degrading customer experience.

Impact

Cross-carrier coverage gaps invisible to any single operator

BEFORE PLACINO

Attribution Vacuum

CTV and OTT ads are the fastest-growing channel, but there is no industry measurement standard. Advertisers demand proof that carriers cannot provide alone.

Impact

$26B CTV spend with unmeasured ROI

5 Ways to Win

Modeled scenarios: what the platform makes possible

01

Store Visit Attribution

A major retailer spends $14M annually on digital advertising to drive store traffic. GPS-based mobile attribution captures only 60% of visits: urban canyons, indoor signal loss, and app fragmentation create massive blind spots. Retailers cannot correlate ad exposure to actual visits, making media buying a guessing game. Worse: 40% of the ad spend ($5.6M) produces zero visible attribution because the link between exposure and store entry is invisible. The retailer cannot optimize media budgets or justify spend to leadership.

+
02

Churn Prediction Collaboration

A mobile carrier and premium streaming service each serve overlapping 800K subscribers. Carrier predicts churn using billing friction signals (failed payments, plan downgrades, customer service calls). Streaming service predicts churn using engagement (login frequency, content consumption, watch time trends). Separately, each predicts churn at 68–70% accuracy. But the real churn drivers are invisible to each company: a subscriber with billing payment failures and low streaming engagement is 7.5x more likely to cancel than either signal alone suggests. Combined, they could save $8M in annual churn, but privacy restrictions prevent sharing raw customer records.

+
03

Audience Monetization

Carriers possess the richest first-party behavioral data on Earth: real location, payment behavior, app usage, search queries. But direct monetization is impossible due to privacy law and buyer skepticism. Third-party data brokers claim to have "telco-quality" audiences but provide no validation. Advertisers distrust unverified segments, paying commodity prices. Carriers leave $18B in annual monetization upside on the table because they cannot prove segment quality or share detailed behavioral data.

$
+
04

Network Performance Optimization

Two regional carriers cover overlapping geographies. Carrier A sees cell-level signal quality (RSRP, latency, throughput) in its coverage areas but cannot see gaps where users roam onto Carrier B's network. Carrier B has the same blind spot in reverse. Users experience bad handoffs and dropped calls at coverage edges, but neither carrier can identify the root cause due to incomplete network visibility. Combined, they could optimize roaming and coverage planning, saving $4M+ in capex. But neither carrier shares network topology data due to competitive sensitivity and regulatory concerns.

+
05

CTV/OTT Attribution

Connected TV (CTV) is now the fastest-growing ad channel, projected to reach $45B+ in 2026. But it is also the most unmeasured. Carriers control the set-top-box and see every ad served; advertisers see only aggregate performance. A major ecommerce brand runs $50M in annual CTV campaigns but cannot measure which ads drive purchases. Is CTV delivering 2x ROAS or 0.5x? Unknown. Advertisers demand proof before increasing budgets. Without deterministic attribution, $26B in CTV spend remains fundamentally invisible. Advertisers cap CTV budgets to 5% of mix despite believing true ROI is 3x higher.

Track
+

From Data Silo to Revenue Engine

Without Placino

Location data sits unused due to privacy risk

CTV ads are the largest unmeasured channel

Churn predicted from single-source signals only

Network gaps invisible between carriers

Audience segments unverifiable by buyers

With Placino

$12M new revenue from privacy-safe audience segments

CTV ROAS measured at 2.8x, budget unlocked

Combined churn model catches 38% more at-risk subscribers

Cross-carrier gap analysis saves $4M capex

Verified segments command 3.5x CPM premium

ROI by Use Case

Illustrative ranges from modeled scenarios. Click to explore

Location Attribution

Investment

$500K

First-Year Return

$2.5M

ROI Multiple

5.0x

Full Monetization

Investment

$1.2M

First-Year Return

$7.2M

ROI Multiple

6.0x

Multi-Use Case

Investment

$2M

First-Year Return

$14M

ROI Multiple

7.0x

Ready to Monetize Your Data Safely?

See how Placino unlocks audience monetization, CTV attribution, and network optimization. Modeled scenarios show $43M in combined ROI potential.

Schedule a Demo