AdTech Solutions for CTV

Our AdTech software expertise enables us to help you solve CTV’s biggest challenges—fragmented integrations, limited transparency, broken frequency control, inconsistent measurement, and underperforming targeting.

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CTV Platform Challenges

  • 📡 Fragmented Integrations

    CTV includes hundreds of streaming apps, TV manufacturers, and platform partners. Integrating across them quickly—and reliably—is difficult, leading to long onboarding cycles, limited inventory access, and data silos.

  • 🔍 Low Transparency into Ad Delivery

    Advertisers expect visibility into where their ads run. Without it, trust suffers. Many CTV platforms can’t show ad-level context like app name, device, or content, which undermines performance insights and brand safety.

  • 🔁 Frequency Management & Identity Resolution

    Without shared identity or unified delivery controls, viewers are often overexposed to the same ad across platforms—hurting campaign efficiency and user experience.

  • 📊 Disparate Reporting & Measurement Standards

    Each publisher, DSP, and exchange reports differently. The lack of implementation of IAB  guidelines standardization makes it hard to understand what’s working, optimize in real time, or offer accurate attribution.

  • 🎯 Limited Reach & Precision Targeting

    CTV targeting is limited by fragmented device IDs, inconsistent user data, and lack of cross-channel audience connectivity. This reduces reach, weakens personalization, and lowers return on ad spend.

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We Can Help

Solve CTV Fragmentation, Transparency, and Measurement Challenges with Lineate’s Software Expertise

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🔗 Seamless CTV Integration

We help you streamline your integrations across publishers, devices, and ad exchanges. Our engineers are experience in  building full-featured DSPs and SSPs with multi-party integrations to publishers and ad exchanges.

How We Solve It:

- OpenRTB 2.x & 3.0 support with CTV-specific extensions

- Custom-built APIs and abstraction layers to normalize partner integrations

 - Cloud-native infrastructure to support high-volume bid and delivery pipelines

🔍 Transparent Ad Delivery Infrastructure

We help you build the data systems advertisers want—showing exactly where and how ads were delivered, and enabling brand-safe, insight-rich campaign reporting.

How We Solve It:

- Real-time impression tracking down to app, device, and IP level

- Custom-built dashboards for advertiser transparency and budget tracking

🔁 Frequency Control & Identity Resolution

We help you implement cross-publisher frequency controls and pacing logic to reduce ad fatigue, balance exposure, and drive better campaign outcomes.

How We Solve It:

- Frequency capping engines across device, household, and campaign level

- Integration with UID2.0, RampID, or clean rooms for audience deduplication

- Adaptive pacing algorithms based on delivery windows and viewer behavior

- Exposure audit tools for ad ops and campaign management teams

📊 Unified Measurement & Attribution

We help you centralize and standardize your measurement strategy across all buys, giving your advertisers better performance insights and more actionable metrics.

How We Solve It:

- Reporting engines built on top of centralized data lakes for unified, scalable analytics

- Customized attribution models that track CTV exposure through event chains to outcomes like clicks, installs, and purchases

- Self-serve dashboards tailored for advertisers, analysts, and ad ops teams

🎯 Scalable Targeting Infrastructure

We help you build smarter, privacy-compliant targeting infrastructure that enhances reach, improves personalization, and aligns with today’s data privacy expectations.

How We Solve It:

- Scalable audience segmentation engines for behavioral, contextual, and household data

- Integrations with CDPs, DMPs, and identity graphs

- Predictive modeling and lookalike generation to expand reach

- Privacy-first architecture supporting GDPR, CCPA, and platform-level consent

Our Clients