Optimizing AdOps Workflows with Data-Driven Insights in 2025

Introduction: The Power of Data in AdOps Transformation

In 2025, the adops landscape is evolving rapidly, with publishers facing increasing pressure to deliver results amidst complex ad server (ex. Google Ad Manager) workflows and shifting market demands. Data-driven insights are the key to staying ahead, enabling adops teams to optimize campaigns, boost yield, and save time. At ProOps Consulting, we’ve seen how leveraging data transforms adops workflows, especially with tools like the ProOps Ads Tracker. Building on our #AskingAdOps series and recent explorations into sales operations, this blog dives into how data-driven strategies can revolutionize your ad ops in 2025. Let’s explore the benefits and practical steps to get started.

Why Data-Driven Insights Matter for AdOps in 2025

Data is no longer a luxury—it’s a necessity. Here’s why adops teams should prioritize data-driven insights:

• Improved Decision-Making: Real-time data helps identify under-performing campaigns or inventory, addressing issues like those raised in Q7 of #AskingAdOps: “How come my campaign is under-delivering, but the avails showed me there was more than enough avails to deliver it in full?”

• Yield Optimization: Data insights guide adjustments to programmatic and direct-sold monetization, aligning with Q18’s focus on “optimizing demand integration with Prebid, GAM’s Open Bidding, and TTD’s OpenPath.”

• Efficiency Gains: Automating data analysis reduces manual reporting time, a theme from our first blog, “How ProOps Ads Tracker Saves Ad Ops Teams Hours Weekly on GAM Reporting.”

• Competitive Edge: Publishers using data effectively can adapt to 2025 trends, such as privacy shifts and programmatic growth, staying ahead of competitors.

How Data-Driven Insights Transform AdOps Workflows

Let’s break down how data can enhance your ad ops processes:

• 1. Daily Campaign Monitoring: Use GAM data to track delivery metrics daily. The ProOps Ads Tracker’s alert buckets (Campaigns, Inventory, Revenue) provide daily visibility, saving each ad ops specialist an estimated 4-6 hours weekly by automating this task.

• 2. Predictive Yield Optimization: Analyze historical data to forecast demand and adjust pricing or inventory allocation. This builds on Q14’s “Supply Path Optimization (SPO) and Demand Path Optimization (DPO)” discussions.

• 3. Cross-Team Collaboration: Share data insights with sales and finance teams to align efforts. Our partnership with Vivino (highlighted in blog 4) shows how data-driven ad ops can unlock premium opportunities, enhancing revenue delivery.

• 4. Automation with Tools: The ProOps Ads Tracker integrates GAM data seamlessly, catching more issues early, reducing manual effort, and supporting strategic focus - key to efficiency gains.

Practical Steps to Implement Data-Driven AdOps

Here’s how adops teams can start leveraging data in 2025:

• Step 1: Assess Current Data Use

  • Conduct a thorough “Process review & assessment” (from our Services) to evaluate how your team currently uses GAM data. Identify gaps, such as manual reporting or inconsistent monitoring, by reviewing daily workflows for 1-2 weeks. Use tools like Google Sheets to log time spent on data tasks, aiming to pinpoint where automation can save the most effort (e.g., 2-3 hours daily on exports).

  • Involve key stakeholders (e.g., adops managers, finance leads) to gather input on pain points, ensuring a comprehensive baseline before implementing changes.

• Step 2: Adopt Automation Tools

  • Start with the ProOps Ads Tracker’s 30-day free trial to automate data collection and analysis. Install the Chrome extension, connect it to your GAM account with read-only access, and monitor alerts for Campaigns, Inventory, and Revenue buckets. Within the first week, review the daily alerts to identify recurring issues (e.g., under-delivery on specific ad units) that previously went unnoticed.

  • Pair this with a weekly 30-minute review session to analyze the downloadable Excel reports, adjusting campaign settings based on data trends to optimize performance.

• Step 3: Train Your Team

  • Leverage “Adops training and education” (from our Media delivery enablement services) to upskill your team on data interpretation. Schedule a 1-hour workshop with your adops specialists to cover reading GAM dashboards, interpreting ProOps Ads Tracker alerts, and using data for decision-making (e.g., pausing low-fill ad units).

  • Provide a quick-start guide or video tutorial (e.g., a 5-minute screencast) to reinforce training, focusing on how to act on data insights to save time and boost yield.

• Step 4: Monitor and Iterate

  • Use “Cadence of delivery monitoring and optimization” to establish a weekly data review cadence. Set a recurring 1-hour meeting to analyze ProOps Ads Tracker reports, tracking metrics like fill rate, eCPM, and delivery accuracy over time.

  • Experiment with A/B testing - ex. adjust pricing on one ad unit based on data insights and compare results after two weeks. Document findings in a shared spreadsheet to build a knowledge base, iterating strategies monthly to refine performance and efficiency.

Call to Action: Unlock Your AdOps Potential with ProOps

Data-driven insights are the future of adops in 2025, enabling revenue delivery, growth, and efficiencies. At ProOps, our Ads Tracker and consulting services empower publishers to harness data effectively. Ready to transform your ad ops? Start your 30-day free trial of the ProOps Ads Tracker today. Join the conversation on LinkedIn with #AskingAdOps!