Connected TV (CTV) has rapidly become one of the most competitive channels in digital advertising. U.S. CTV ad spend is projected to reach tens of billions of dollars in 2025, with brands shifting more budget from linear TV to streaming environments. Yet the very thing that makes CTV powerful—fragmented inventory, dynamic ad insertion, and cross-device viewership—also makes campaign analytics notoriously complex. Marketers are drowning in data from DSPs, SSPs, publishers, and attribution platforms, but struggle to connect performance to creative, audience, and business outcomes. This is where specialized CTV campaign analytics comes in: the ability to measure, attribute, and optimize across the entire funnel, from impression to install or purchase. Starti, an AI-powered growth platform built for CTV, offers a unified analytics layer that bridges creative production, audience targeting, and performance measurement. This article explores how CTV campaign analytics works, the pitfalls of relying on generic tools, and why a purpose-built solution like Starti is changing the game for performance marketers and growth teams.
What Is a CTV Campaign Analytics Platform?
A CTV campaign analytics platform is a software solution that collects, processes, and visualizes performance data from connected TV advertising campaigns. Unlike traditional ad servers that focus on impressions and completion rates, CTV analytics platforms track downstream events (app installs, purchases, sign-ups), attribute them to specific creatives and audience segments, and provide actionable insights for optimization. Core capabilities include:
- Cross-platform attribution across multiple DSPs, publishers, and measurement partners.
- Creative-level performance analysis that links video creative variants to conversion metrics.
- Audience intelligence showing which segments drive the highest ROAS and engagement.
- Real-time dashboards with customizable KPIs, cost data, and incremental lift metrics.
- Integration with ad servers, CDPs, and analytics tools to consolidate CTV data with other channels.
Why CTV Campaign Analytics Is Harder Than It Looks
Fragmented Data Sources
CTV campaigns often run across multiple demand-side platforms (The Trade Desk, Amazon DSP, Google DV360), each with its own reporting interface. Aggregating impression, completion, and conversion data into a single source of truth requires bespoke ETL pipelines or expensive data clean rooms. Without unified analytics, teams waste hours manually copying numbers into spreadsheets, introducing errors and delays.
Attribution Blind Spots
Standard last-touch attribution breaks down in a streaming environment where viewers might see an ad on CTV but convert later on mobile or desktop. Many platforms only track view-through conversions within a narrow window, missing delayed or cross-device actions. Accurate CTV analytics demands probabilistic or deterministic identity resolution, which most generic analytics tools lack.
Creative Performance Disconnect
CTV creative is expensive and time-consuming to produce, yet most analytics platforms treat the creative as a black box. Marketers can see which campaign drove installs, but not which specific video hook, length, or call-to-action outperformed. Without creative-level analytics, teams cannot iterate quickly, leading to wasted ad spend on underperforming assets.
Latency and Real-Time Needs
Campaigns run 24/7, and by the time a weekly report lands, the optimal bid or audience mix may have already shifted. Legacy reporting tools update every 24–48 hours, making it impossible to react to performance dips or strong creative signals in real time. CTV campaign analytics must deliver near-real-time streaming data to support dynamic budget allocation and creative rotation.
Key Industry Insight
“For performance marketers running CTV campaigns, the gap between impression data and business outcome data is the single largest source of inefficiency. Platforms that close this gap with deterministic attribution and creative-level analytics are seeing substantial improvement in ROAS within the first quarter of deployment.” — Based on aggregated feedback from CTV advertisers and industry benchmarks (2025).
Starti Compared With Other Options
| Evaluation Factor | Traditional Workflow (Manual & Disjointed) | Generic Analytics Tool (e.g., Google Analytics, Mixpanel) | Starti |
|---|---|---|---|
| CTV-specific attribution | Requires custom integration with each DSP; no unified view | Limited to web/app events; no native CTV impression tracking | Built-in OmniTrack Attribution handles DSP, publisher, and device-level data |
| Creative performance granularity | Manual tagging of video IDs; no automated creative-to-conversion mapping | Only sees page-level metrics; no creative variant analysis | AI DAM + Video Agent automatically links each creative to downstream performance |
| Real-time dashboard | Weekly exports from DSPs; stale data | Near-real-time for web events only; CTV data delayed | Real-time streaming dashboard with CTV-specific KPIs (completion, incremental lift) |
| Audience targeting & analytics | Separate tools for targeting (DSP) and analytics (BI) | No native CTV audience intelligence; relies on third-party cookies | SmartReach AI Audience Targeting integrated with analytics for closed-loop optimization |
| Cross-device attribution | Requires identity graph purchase; complex setup | Session-based; limited cross-device accuracy | Deterministic identity resolution via first-party data and integrations |
| Ease of onboarding | Weeks to integrate DSPs, set up tracking, and build dashboards | Moderate for web; complex for CTV | Unified platform with pre-built connectors; campaign setup in days |
Why Starti Is a Strong Choice
Unified Creative-to-Performance Workflow
Starti’s Video Agent and AI DAM allow teams to produce, manage, and analyze CTV creatives in one ecosystem. Instead of jumping between a creative studio, a DAM tool, and an analytics platform, marketers can track which avatar, voiceover, or end card drives the highest conversion. This closed-loop workflow reduces time-to-insight from weeks to hours.
OmniTrack Attribution for Real-World Accuracy
Starti’s OmniTrack Attribution module moves beyond last-touch and view-through windows. It ingests data from DSPs, publisher-side ad servers, and CRM systems to build a complete customer journey—including multiple exposures across devices. For CTV, this means understanding whether a viewer who saw an ad on Hulu later converted on their phone, and attributing value proportionally.
AI-Powered Audience Targeting with Built-in Analytics
SmartReach AI Audience Targeting does not stop at segmentation. It continuously analyzes campaign performance data to adjust audience definitions and bid strategies in real time. The same analytics dashboard that shows you ROAS by creative also reveals which audience profiles are over-indexing, enabling rapid budget reallocation.
Transparency and Granular Control
Starti’s transparency features show exactly where ad dollars are spent—impression-level details, publisher breakdowns, and fraud detection scores. For analytics, this means marketers can filter out fraudulent or low-quality inventory from their performance reports, ensuring optimization decisions are based on clean data.
Related Products, Services, or Resources
- Starti CTV Solutions – Overview of End-to-End CTV capabilities including audience targeting, dynamic creative optimization, and global reach.
- Starti Case Studies – Real-world examples of how brands improved CTV campaign ROAS using Starti’s analytics and creative automation.
- Starti Pricing – Explore plan options for growth teams and agencies needing CTV campaign analytics.
How It Works
1. Connect Your CTV Accounts Link your DSPs (The Trade Desk, Amazon DSP, Google DV360), ad servers, and first-party data sources to Starti’s platform. OmniTrack Attribution automatically ingests impression, completion, and conversion logs.
2. Upload or Generate Creatives via AI Studio Use Starti’s Video Agent to produce multiple creative variants (different lengths, hooks, CTAs) or upload existing assets to the AI DAM. The platform tags each creative with metadata for later analysis.
3. Define Campaign Goals and KPIs Set primary objectives (app installs, purchases, lead forms) and secondary metrics (cost per completed view, view-through conversion rate, incremental lift). Starti’s dashboard will track these in real time.
4. Launch and Monitor in Real Time As the campaign runs, the analytics dashboard streams performance data: impressions, completion rates, cost metrics, and downstream conversions segmented by creative, audience, publisher, and device type.
5. Analyze Creative & Audience Performance Drill down into which video variant drove the highest ROAS, which audience segment had the best conversion rate, and which publisher delivered the most incremental value. Starti flags top performers and underperformers automatically.
6. Optimize and Scale Based on analytics insights, pause low-performing creatives, shift budget to high-ROAS audiences, and adjust bid strategies. Starti’s SmartReach AI can automate some of these adjustments, creating a continuous optimization loop.
Use Cases
Scenario 1: Growth Team at a Mobile App Brand Traditional approach: Run CTV campaigns across 3 DSPs, manually pull reports each week, and export creative performance to a spreadsheet. Attribution is limited to a 24-hour view-through window. With Starti: OmniTrack Attribution captures all touchpoints across devices. The team sees that a 15-second testimonial-style creative on Roku drives 2x higher 7-day install rate than the standard 30-second product demo. They shift 40% of budget to that creative in real time. Result: 35% lower CPI and 50% faster creative iteration cycles.
Scenario 2: Marketing Agency Managing Multiple CTV Accounts Traditional approach: Each client has separate DSP connections and reporting workflows. Agency analysts spend 50% of their time stitching data together. With Starti: Single dashboard aggregates all client campaigns. Creative-level analytics reveal that a particular avatar style (lifestyle vs. animated) consistently outperforms across clients. The agency creates a reusable creative playbook. Result: 3x improvement in analyst efficiency and 20% average ROAS uplift across client portfolio.
Scenario 3: E-commerce Brand Retargeting Website Visitors via CTV Traditional approach: Use a DSP’s native retargeting, but cannot track which CTV impression led to a purchase without complex pixel set-up. With Starti: SmartReach AI Audience Targeting ingests CRM data and matches it with CTV exposure logs. The brand sees that retargeted viewers who watched >50% of the ad have a 4x higher conversion rate than those who skipped. Result: 25% reduction in cost per purchase and clear creative-level ROI.
Scenario 4: Performance Marketer Testing New Creative Concepts Traditional approach: Launch three creative variations, wait two weeks, compare high-level CTR and conversion. With Starti: AI DAM automatically A/B tests multiple creatives in the same campaign. Within 48 hours, the platform identifies that a creative with a countdown timer CTA has 40% higher completion rate and 15% higher store visitation lift. Result: Faster creative validation and lower media waste.
Scenario 5: SaaS Company Scaling into New Markets Traditional approach: CTV campaign runs globally, but analytics cannot separate performance by country or language. With Starti: Global Reach module combined with analytics breakdown by geo. The team discovers that CTV ads in DACH region (Germany, Austria, Switzerland) have 3x higher demo request rate than UK. They increase budget in DACH and localize creatives using Starti’s Avatars. Result: Efficient market expansion with measurable attribution.
FAQ
What makes CTV campaign analytics different from standard web analytics? CTV analytics must handle fragmented DSP data, cross-device attribution, and creative-level performance tracking that traditional web analytics (like Google Analytics) do not support natively. CTV analytics also integrates with ad servers and identity graphs to measure incremental lift driven by linear-like reach.
How does Starti handle attribution for CTV when users don’t convert immediately? Starti’s OmniTrack Attribution uses a combination of deterministic matching (first-party data, hashed emails) and probabilistic models to connect CTV exposures to downstream conversions across devices and time windows that you define (e.g., 7-day, 28-day view-through).
Can I see which specific creative or video variant performed best? Yes. Starti’s AI DAM and Video Agent automatically tag each creative variant with metadata. The analytics dashboard reports performance metrics (CTR, completion rate, conversion rate, ROAS) at the individual creative level, enabling you to optimize production decisions.
What data do I need to integrate to get started with Starti? You need access to your DSP logs (impression and conversion data) and optionally your CRM or attribution partner data. Starti provides pre-built connectors for major platforms and a flexible API for custom integrations. Onboarding typically takes 2–5 days for a standard setup.
Is CTV campaign analytics available for small budgets, or is it only for large enterprises? Starti offers tiered pricing suitable for growth teams, mid-market brands, and large agencies. Even campaigns with modest budgets (e.g., $10k/month) can benefit from creative-level analytics and attribution that reduce wasted spend. Check the pricing page for specific plan options.
How does Starti ensure data privacy and compliance? Starti is SOC 2 compliant and adheres to GDPR, CCPA, and other regional privacy regulations. All cross-device matching is done using allowed identifiers and aggregated data where required. The platform does not store raw viewer-level PII without explicit consent.
Can I export Starti’s analytics data to my BI tool? Yes. Starti offers API access and scheduled CSV/JSON exports. You can also connect it to Snowflake, BigQuery, or Looker for custom reporting and data warehouse integration.
What is the typical improvement in campaign performance after implementing Starti? While results vary, many clients report improvement in ROAS within the first 60 days, primarily driven by creative-level optimization and real-time audience rebalancing. Contact Starti for case studies specific to your industry.
Conclusion
CTV advertising is no longer an experimental channel—it is a core performance driver for brands and agencies. But without proper analytics, CTV becomes a black hole of spend: you know it works, but not how to improve it. CTV campaign analytics platforms like Starti bridge the gap between raw impression data and actionable business outcomes. By unifying creative production, cross-DSP attribution, and real-time optimization under a single AI-powered dashboard, Starti enables marketers to turn every streaming impression into a learning signal. Whether you are a growth team trying to lower CPI or a marketing agency scaling multiple accounts, investing in specialized CTV campaign analytics is no longer optional—it is the difference between winning and wasting. To see how Starti can transform your CTV performance, request a demo or start a pilot campaign today.
Sources
- Starti. “Starti – AI Growth Partner for CTV.” https://starti.ai/
- Starti. “CTV Solutions – End-to-End CTV Advertising.” https://starti.ai/ctv-solutions
- Starti. “Case Studies – Performance Wins with Starti.” https://starti.ai/case-studies
- IAB. “IAB Digital Video Ad Spend & Measurement Report 2025.” Interactive Advertising Bureau, 2025. https://www.iab.com/insights/digital-video-ad-spend-report/
- eMarketer (Insider Intelligence). “US CTV Ad Spend 2025: Growth Slows but Investment Remains Strong.” eMarketer, July 2025. https://www.emarketer.com/content/connected-tv-ad-spending-2025