ANA Masters 2026: Quantifying Enterprise Video ROI

The digital marketing team at Horizon Global, a multi-national logistics provider, faced a significant challenge in early 2025. Their investment in enterprise video content, from brand awareness campaigns on connected TV (CTV) to product demonstrations on their website and social media, had ballooned, yet understanding its true impact felt like working through a dense fog. Sarah Chen, Horizon’s Head of Digital Marketing, summed it up during a tense quarterly review: “We’re spending millions on video, but when the board asks for a clear ROI, all I have are disparate reports showing views and clicks. How do I tell them what ANA Masters 2026 will demand: a quantifiable measure of video’s contribution to our bottom line?” This struggle to accurately measure enterprise video performance is a common narrative for large organizations today. Sarah’s problem wasn’t a lack of data. It was a deluge of inconsistent, siloed information. Their CTV ad buys reported impressions and completion rates from one vendor, YouTube campaigns provided watch time and subscriber growth, while their internal video platform tracked engagement on product tutorials. Each platform spoke a different language, making true cross-channel analysis impossible. “It’s like trying to compare apples, oranges, and… well, freight containers,” Sarah quipped to her team. The underlying issue was a missing, unified framework for marketing measurement that could translate diverse video metrics into a cohesive narrative of business impact. The first step in addressing Horizon Global’s measurement dilemma involved standardizing their approach. Inspired by discussions at various industry forums and a deep dive into the latest IAB Digital Video Ad Measurement Guidelines, Sarah mandated a common set of metrics for all video initiatives. This meant moving beyond basic impressions and clicks. For instance, instead of just reporting “views,” they began to track “qualified views”, defined as a video watched to at least 50% completion, with sound on, and in a non-skippable format. This immediately filtered out a lot of low-quality engagement, offering a more realistic picture of audience attention. Integrating data from their various platforms proved to be the next hurdle. Horizon Global used many tools: Google Ad Manager for display and video, a specialized demand-side platform (DSP) for CTV buys, and an internal analytics suite for their website. Each generated its own reports, often with different definitions for similar metrics. The solution wasn’t to replace everything, but to build a centralized data warehouse. They opted for a cloud-based solution that could ingest data from all these sources via APIs, transforming it into a standardized format. This allowed Sarah’s team to build custom dashboards using a business intelligence platform, giving them a single pane of glass for all their video performance. This unified view was critical. Without it, any strategic decision would be based on incomplete or even contradictory evidence.

One of the most significant shifts for Horizon Global was moving beyond vanity metrics. While views and likes are easy to report, they rarely correlate directly with revenue. Sarah pushed her team to focus on deeper engagement signals. For their brand awareness campaigns, they started tracking view-through rate (VTR) and attention metrics, often provided by third-party verification partners like Nielsen. For their product demonstration videos, the key metrics became completion rate segmented by user type (e.g., existing customer vs. new prospect) and, importantly, click-through rates to product pages or demo requests. They also implemented surveys immediately after video consumption on their website, asking about comprehension and intent, providing qualitative data to complement the quantitative. The challenge of attributing video’s impact on conversions remained. Traditional last-click attribution models often undervalue video, especially at the top of the funnel. A customer might watch a brand video on CTV, then later search for the company, click a paid search ad, and convert. In a last-click model, the video gets no credit. Horizon Global began experimenting with more advanced, multi-touch attribution models. They initially used a rule-based linear model but quickly realized its limitations. By mid-2025, they were piloting an AI-driven attribution platform that used machine learning to analyze customer journeys and assign fractional credit to each touchpoint, including video. This model began to reveal video’s significant, albeit indirect, influence on later conversions, particularly for high-value enterprise clients with longer sales cycles. For example, an analysis using their new attribution model showed that B2B prospects who watched at least 75% of a specific “Logistics Solutions Overview” video on LinkedIn were 3.5 times more likely to request a demo within the next 30 days compared to those who did not. Plus, for those who did request a demo, the average contract value was 15% higher. These were the kinds of concrete, quantifiable insights Sarah needed. She could now confidently tell the board, “Our investment in this specific video content directly correlates to a pipeline increase of X and a higher average deal size.” This kind of data transforms marketing from a cost center into a strategic growth driver. Another critical aspect of their enhanced measurement strategy was the emphasis on continuous auditing and refinement. Data sources change, platform APIs evolve, and business objectives shift. Sarah scheduled bi-monthly “measurement health checks” where her team reviewed data integrity, dashboard accuracy, and the relevance of their chosen KPIs. They discovered, for instance, that a recent update to a social media platform’s video player was subtly affecting their completion rate data, requiring a minor adjustment in their data ingestion process. This proactive approach prevented measurement discrepancies from festering and skewing their insights. The journey wasn’t without its complexities. Integrating legacy systems with new cloud solutions required significant IT resources and expertise. Ensuring data privacy and compliance across different regions for their global operations added layers of complexity to data collection and storage. “Getting everyone on board with new metrics and reporting standards was like herding cats in a data center,” Sarah admitted with a smile, recalling initial resistance from some regional marketing teams accustomed to their own siloed reports. However, the eventual payoff in clear, actionable insights outweighed these initial struggles. By the time the ANA Masters 2026 conference approached, Horizon Global was no longer fumbling for answers. Sarah presented a case study detailing their transformation in enterprise video measurement, showing dashboards that clearly linked video views to pipeline generation and revenue. Her presentation focused on the practical steps: defining clear, measurable objectives for each video asset, standardizing metrics, integrating disparate data sources, employing advanced attribution, and maintaining a rigorous audit schedule. She emphasized that while technology played a role, the fundamental shift was in mindset, treating video not just as content, but as a measurable performance channel. The audience resonated with her story, recognizing their own struggles in her past experiences. What Horizon Global proved was that strong video measurement isn’t just about collecting data. It’s about transforming that data into strategic intelligence that drives business outcomes. Video ads can slash churn and boost ROI.