As a whole, ABS-CBN has an even deeper insight into their subscribers and viewers, which they can then translate into revenue. This insight is valuable at all levels of the organization, from executive revenue reporting, to individual team member’s contribution to the revenue targets. With Datazoom’s enrichment feature, ABS-CBN can take an ROI-driven approach to adding resources and new solutions to their video technology stack. Using Datazoom, ABS-CBN has been able to quickly derive the potential additional ad revenue return from adding engineering resources to address issues with the platform and advertising workflow. Additionally, having these real-time insights allows their operations and engineering teams to quickly troubleshoot platform issues without giving up extra impressions, mitigating the impact of errors on both current and future ad revenue. A projected 30% ad error revenue loss was identified using Datazoom’s Google Ad Manager enrichment. ABS-CBN has successfully used the analysis of revenue lost due to ad errors as a way to justify a budget to add more development resources. ABS-CBN’s ad ops team can more quickly detect the performance of new campaigns and identify errors. This not only have a negative impact for ABS-CBN as a publisher, but also on the advertiser, who sees a lower campaign efficacy rate. Further, this data can be used to calculate the loss resulting from malformed campaigns. Using data collected during A/B testing, ABS-CBN’s product team can determine if a potential feature is worthwhile by forecasting gain or determining if a potential feature may cause revenue loss. As an example, ABS-CBN rolled out an A/B test to measure the potential revenue lift with and without a Content Recommendation Engine. They found that using improved content recommendations led to a 3% uplift in ad revenue, which justified additional budget to spend on a Content Recommendation Engine. Beyond simply analyzing their viewers’ behavior, ABS-CBN can also use their dashboards as employee performance review tools. By grouping employees into teams and then calculating how much ad revenue each team generates per month, they can see which investments and marketing campaigns are generating the most ROI.