Ad Ops Automation ROI Calculator: Is It Worth the Investment?
Every ad operations leader faces the same question: "Should we invest in automation, or keep doing things manually?" The answer isn't just about tool costs - it's about understanding the true cost of your current process and the strategic value of your team's time.
Let's break down the real numbers, calculate your specific ROI, and build the business case for automation.
The Hidden Cost of Manual Ad Operations
Most publishers dramatically underestimate what manual monitoring actually costs. Here's the full picture:
Daily Time Drain: Where Your Hours Really Go
Your ad ops team's morning routine probably looks like this:
Morning campaign pacing checks: 20-30 minutes logging into GAM, pulling reports, checking which campaigns are underpacing, and identifying issues.
Revenue anomaly scanning: 15-20 minutes comparing yesterday's revenue to averages, checking if programmatic channels dropped, looking for unusual patterns.
Inventory health review: 10-15 minutes checking fill rates by ad unit, scanning for unusual request patterns, identifying problem placements.
Troubleshooting yesterday's flags: 15-30 minutes following up on issues discovered late, explaining problems to stakeholders, implementing fixes after revenue is already lost.
Total daily time investment: 45-75 minutes per person, every single day.
That's 16-27 hours per month per person, just for monitoring.
Add in Regular Reporting Time
Weekly performance reports: 2-3 hours pulling data, building slides, formatting numbers, distributing to stakeholders. That's 8-12 hours per month.
Monthly executive summaries: 4-6 hours creating comprehensive performance reviews, analyzing trends, preparing presentations.
Ad-hoc reporting requests: 3-5 hours responding to "Can you pull this data?" requests from sales, finance, and leadership.
Grand total: 31-50 hours per month per ad ops team member spent on monitoring and reporting instead of optimization and strategy.
What This Costs You in Real Dollars
Let's use realistic ad ops salary benchmarks to understand the labor cost:
Junior Ad Ops Specialist: $25-$35 per hour fully loaded with benefits and overhead.
Mid-Level Ad Ops Manager: $40-$60 per hour with full compensation package.
Senior Ad Ops Director: $60-$85 per hour including salary, benefits, and operating costs.
Real Example: Typical 3-Person Team
Your team probably looks something like this:
1 Senior Manager at $65/hour
2 Mid-level Specialists averaging $50/hour
If each person spends 35 hours per month on monitoring and reporting:
Monthly labor cost calculation:
Senior: 35 hours × $65 = $2,275
Specialist 1: 35 hours × $50 = $1,750
Specialist 2: 35 hours × $50 = $1,750
Total monthly cost: $5,775
Annual cost: $69,300
That's nearly $70,000 per year in labor costs just to manually check your ad server and generate reports. And that's before we talk about the revenue you're losing.
The Revenue Cost: This Is the Big One
Labor costs are predictable and budgeted. Revenue losses from late issue detection are neither - and they're usually much larger.
The Typical Late-Discovery Scenario
Here's what happens without automated monitoring:
Day 1: Campaign starts under-delivering or revenue channel has an issue. Nobody notices because you're not checking constantly.
Day 2-3: Issue continues. You're busy with other tasks, scheduled reports don't flag the problem clearly.
Day 4: You discover the issue during your routine check. By now, significant revenue is lost.
Day 5: You fix the problem, but the damage is done. Advertiser budget has shifted elsewhere, programmatic revenue can't be recovered.
What Each Type of Issue Actually Costs
Minor issue caught at 3 days: $500-$1,500 in lost yield from under-optimized placements or slow-starting campaigns.
Moderate issue from campaign under-delivery: $2,000-$5,000 when direct-sold campaigns miss delivery targets and you can't make up the impressions.
Significant issue like revenue channel failure: $5,000-$15,000 when an entire programmatic demand source goes down or a major ad unit stops serving.
How Often Does This Happen?
For a typical mid-sized publisher:
Minor issues: 4-6 per month (things you'd catch and fix immediately if you knew about them)
Moderate issues: 2-3 per month (campaign pacing problems, creative issues, targeting misconfigurations)
Significant issues: Every other month (major technical problems, demand partner issues, inventory problems)
Monthly revenue at risk: $8,000-$25,000
Annual revenue at risk: $96,000-$300,000
Now you understand why the real cost of manual monitoring isn't the $70K in labor—it's the six-figure revenue risk you're carrying every year.
Real Publisher ROI Scenarios
Let's look at three actual scenarios based on real publisher operations. Your situation likely falls into one of these categories.
Scenario 1: Small Publisher with a 2-Person Ad Ops Team
Your Current Situation
You're running lean with just two ad ops specialists managing everything from campaign setup to yield optimization. Each person spends about 20 hours per month on manual monitoring and reporting - that's a full work week every month just checking numbers.
Monthly costs you're already paying:
Labor: 2 people × 20 hours × $40/hour = $1,600
Typical missed issues: 2-3 per month averaging $1,500 in lost revenue each
Total monthly cost of manual process: $5,350
What Changes with Automation
With ProOps Ads Tracker handling the daily monitoring grind, each person saves 15 hours per month. That's 75% of their monitoring time freed up for actual revenue-generating work.
Your monthly savings:
Labor savings: 30 hours × $40 = $1,200
Revenue protected by catching issues early: 2 issues × $1,500 = $3,000
Tool cost: $249/month (up to 3 user accounts)
Your bottom line:
Net monthly benefit: $3,951
Annual benefit: $47,412
Payback period: Immediate (saves more than cost from day one)
12-month ROI: 1,600%
What Your Team Does with the Saved Time
This isn't just about working less - it's about working smarter:
Test new programmatic demand partners to increase competition
Optimize floor prices by placement for better yield
Support sales with custom package development and faster turnarounds
Improve header bidding configuration for better programmatic performance
Actually implement that SSP you've been meaning to test for months
Why This Matters for Small Teams
You feel every inefficiency more acutely than larger teams. When one person is out sick or on vacation, you can't afford to miss issues for three days. The tool becomes your third team member who never sleeps, never takes vacation, and never misses a critical alert.
One small publisher told us: "We're a two-person team. Getting 15 hours back per person each month is like having an extra half-time employee for $249. There's no world where that math doesn't make sense."
Scenario 2: Mid-Size Publisher with a 4-Person Ad Ops Team
Your Current Situation
You've got a proper ad ops team now: one manager and three specialists. But you're still spending 25 hours per month per person on monitoring, reporting, and firefighting issues that could have been caught earlier.
Monthly costs you're already paying:
Labor: 4 people × 25 hours × $50/hour average = $5,000
Typical missed issues: 3-4 per month averaging $3,000 each
Total monthly cost of manual process: $15,500
What Changes with Automation
Your team saves 18 hours per month per person. That's 72 hours total freed up every month - almost two full-time work weeks your team gets back.
Your monthly savings:
Labor savings: 72 hours × $50 = $3,600
Revenue protected: 2.8 issues caught early × $3,000 = $8,400
Tool cost: $249/month (base price for up to 3 user accounts) + $49/month (additional user) = $298/month
Your bottom line:
Net monthly benefit: $11,702
Annual benefit: $140,424
Payback period: Less than one day
12-month ROI: 3,927%
Strategic Impact Beyond the Numbers
At this team size, automation enables growth without proportional hiring:
Handle 60-70% more campaigns with the same team size by eliminating repetitive manual work.
Launch new ad products without hiring because your team has capacity for strategic projects.
Maintain 95%+ delivery rates even during high-growth periods when campaign volume spikes.
Support sales with faster turnaround on complex campaigns, enabling them to close more last-minute deals.
Real-World Example
One mid-sized publisher we work with reduced their campaign setup SLA from 48 hours to 18 hours after implementing automation. The faster response time meant they could capture more last-minute, high-value direct deals that their competitors couldn't turn around quickly enough.
Result: $45,000 in additional quarterly revenue from deals they would have previously lost to competitors with faster ops teams.
Scenario 3: Large Publisher with an 8+ Person Ad Ops Team
Your Current Situation
You're operating at scale with eight or more ad ops team members across trafficking, yield management, and reporting functions. At this size, inefficiencies are expensive - each person spends 30 hours per month on monitoring, troubleshooting, and report generation.
Monthly costs you're already paying:
Labor: 8 people × 30 hours × $55/hour average = $13,200
Typical missed issues: 5-6 per month averaging $4,000 each (bigger scale = bigger issues)
Total monthly cost of manual process: $35,200
What Changes with Automation
Your team saves 22 hours per month per person. That's 176 hours total - over four full-time work weeks of capacity returned to your team every single month.
Your monthly savings:
Labor savings: 176 hours × $55 = $9,680
Revenue protected: 4.4 issues caught early × $4,000 = $17,600
Tool cost: $249/month (base price for up to 3 users) + $245/month (3 additional users) = $494/month
Your bottom line (single network):
Net monthly benefit: $26,786
Annual benefit: $321,432
Payback period: Less than one day
12-month ROI: 5,422%
Enterprise Value: Beyond Simple ROI
At your scale, automation isn't just about return on investment - it's about operational capability and competitive positioning.
Scale Without Proportional Headcount Growth
Support 80-100% revenue growth with only 20-30% team expansion instead of hiring one-to-one with revenue growth. This preserves operating margins during growth phases.
Maintain Consistent Service Quality at Scale
Deliver 95%+ fill rates even as campaign volume doubles. Your competitors with manual processes start missing issues as they scale - you don't.
Unlock Strategic Capacity
Your senior team members spend time on yield strategy, programmatic optimization, and new revenue channel development instead of generating reports and checking dashboards.
Reduce Enterprise Risk
Catch issues before they become client escalations or advertiser churn. At your scale, losing a single major advertiser costs six figures annually.
Large Publisher Success Story
One entertainment publisher running 200+ direct-sold campaigns per month automated their morning reporting routine. This freed up their senior yield manager to focus full-time on programmatic optimization.
The result: 12% eCPM increase across all programmatic channels, worth $180,000 annually. The automation tool cost them $2,988 per year.
Return on investment: 6,030%
Multi-Network Consideration
If you're running multiple GAM networks across different regions, brands, or business units, ProOps Ads Tracker charges $249 base per network ID + $49 per additional user beyond 3 (users counted across all networks if shared). For example, three networks with 8 total users would cost $992/month.
Even at larger scales, ROI remains compelling (typically 2,500–4,000%+ depending on savings).
Beyond Time Savings: The Strategic Value You Can't Easily Quantify
The calculations above show hard dollar ROI. But there's significant strategic value that's harder to put a number on:
Proactive Operations vs. Reactive Firefighting
With manual monitoring you're always reactive:
You discover issues days after they start. You scramble to fix problems after revenue is already lost. You explain failures to sales teams and disappointed clients. Your reputation with advertisers suffers because they hear about issues from their reports, not from you.
With automated monitoring you become proactive:
You get alerted within hours of an issue starting. You fix problems before significant revenue is lost. You communicate proactively to stakeholders before they even know there's an issue. You build a reputation for reliability and responsiveness.
The value: Stronger advertiser relationships, higher renewal rates, and the ability to charge premium rates for your direct-sold inventory because advertisers trust your delivery.
Team Morale and Retention
The manual grind destroys morale:
Your team does the same repetitive tasks every single day. They're constantly fighting fires instead of solving interesting problems. There's no time for learning new skills or working on strategic projects. Burnout risk is high, especially for your best people who want to grow.
Automation transforms job satisfaction:
Your team focuses on optimization and strategy work. They solve problems proactively instead of reactively. They learn new skills like advanced yield management and programmatic strategy. They see clear career growth opportunities.
The value: Lower turnover saves you $15,000-$30,000 per replacement in recruiting and training costs. Higher job satisfaction means better work quality. Your ability to attract top talent improves when your ad ops role is strategic, not repetitive.
Supporting Revenue Growth Without Linear Cost Increase
This is the strategic win that CFOs and COOs care most about:
Without automation, growth kills margins:
Year 1: $5M revenue, 4-person ad ops team
Year 2: $7M revenue (+40% growth), need 5-6 person team (+25-50% headcount)
Year 3: $10M revenue (+43% growth), need 7-8 person team (+40% headcount)
Your team grows almost as fast as revenue, compressing operating margins.
With automation, growth improves margins:
Year 1: $5M revenue, 4-person team plus automation
Year 2: $7M revenue (+40% growth), 4-5 person team (+0-25% headcount)
Year 3: $10M revenue (+43% growth), 5-6 person team (+25% headcount)
Same revenue growth with 25-40% less headcount increase.
The value: For a publisher doing $10M in annual ad revenue with 25% operating margins, saving 2 FTEs ($200K in fully-loaded cost) improves operating margin by 2 percentage points. That's $200K straight to the bottom line.
Competitive Advantage in Sales Cycles
When advertisers or agencies are evaluating publishers, they ask tough questions:
Questions you'll face:
"What's your average delivery rate?"
"How quickly do you catch and resolve issues?"
"What's your campaign setup SLA?"
"How do you monitor performance?"
With automation, you answer confidently:
"We maintain 95%+ delivery rates consistently through automated 24/7 monitoring"
"We catch issues within hours through real-time alerting, not days later through manual checks"
"We can set up and launch campaigns within 24 hours"
"We have automated monitoring that alerts us immediately to any performance issues"
Without automation, you hedge:
"We typically deliver 85-90% of campaigns..." (Why not 95%?)
"We check performance daily..." (So issues can go unnoticed for 24+ hours?)
"Campaign setup takes 2-3 business days..." (Why so long?)
The value: Win more direct deals, command higher CPMs, and reduce advertiser churn because you demonstrate operational excellence.
Making the Business Case to Leadership
If you're reading this to build a budget request, here's your template. Copy it, fill in your numbers from the calculator, and send it up the chain:
TO: [CFO / Head of Operations / VP Revenue]
FROM: [Your name, Ad Ops Lead]
RE: Ad Operations Automation Investment Proposal
DATE: [Today's date]
EXECUTIVE SUMMARY
I'm requesting approval for a $249/month investment in ad operations monitoring automation (ProOps Ads Tracker). This will deliver immediate ROI through labor savings and revenue protection, while enabling our team to support continued revenue growth without proportional headcount increases.
THE PROBLEM WE'RE SOLVING
Our ad ops team currently spends [X] hours per month on manual GAM monitoring and reporting. We typically discover campaign or revenue issues 3-5 days after they occur, resulting in:
Lost revenue: [X]permonthaverage([[X] per month average ([ [X]permonthaverage([Y] annually)
Inefficient use of skilled labor: [X]permonth([X] per month ( [X]permonth([Y] annually)
Reactive firefighting instead of proactive optimization
Operational constraints on our ability to scale
PROPOSED SOLUTION
ProOps Ads Tracker: Automated Google Ad Manager monitoring and alerting system.
Key capabilities:
Daily automated monitoring of campaigns, revenue, and inventory
Color-coded alerts (red for critical, orange for warning)
24/7 tracking with next-morning reports delivered to team
Excel exports for deeper analysis when needed
Read-only GAM access for security (cannot modify our setup)
INVESTMENT REQUIRED
Monthly cost: $249 for one GAM network
Annual cost: $2,988
Setup time: 15 minutes (no IT involvement needed)
Implementation risk: None (30-day free trial, cancel anytime if it doesn't deliver value)
EXPECTED RETURNS
Based on our current operations with [X] team members at $[Y] average hourly rate and [Z] issues per month:
Monthly labor savings: $[X]
Monthly revenue protection: $[Y]
Total monthly value: $[Z]
Less tool cost: -$249
Net monthly benefit: $[net]
Annual benefit: $[annual net]
12-month ROI: [X]%
Payback period: [X days]
STRATEGIC BENEFITS BEYOND IMMEDIATE ROI
Enable revenue growth without proportional headcount increases (protect operating margins)
Improve delivery rates and advertiser satisfaction (reduce churn, enable premium pricing)
Free up team to focus on yield optimization with 15-25% revenue uplift potential
Reduce risk of significant revenue losses from late issue detection
Improve team morale and retention through elimination of repetitive manual work
RISK MITIGATION
30-day free trial allows us to validate savings before committing any budget
Read-only GAM access ensures the tool cannot break or modify our ad server setup
Cancel anytime with no long-term commitment or penalties
If projected savings don't materialize, we terminate after trial period at zero cost
IMPLEMENTATION TIMELINE
Week 1: Start free trial, integrate with GAM (15-minute setup)
Weeks 2-4: Measure time savings and issues caught early
Month 2: Full implementation if savings validated through trial
Ongoing: Monthly reporting on hours saved and revenue protected
RECOMMENDATION
I recommend we proceed with the 30-day free trial immediately. Based on comparable publisher results and our current operational costs, I'm confident we'll see measurable benefits within the first week of use.
APPROVAL REQUESTED
☐ Approved for 30-day free trial (no cost, no commitment)
☐ Approved for full implementation pending trial results
☐ Need additional information (please specify below)
Answering Common Objections
"We Can Build This Ourselves"
The full cost of building in-house:
Initial development requires 20-40 hours of developer time at $75-$150 per hour. That's $3,000-$8,000 upfront before you have anything working.
Then comes ongoing maintenance:
GAM's API changes quarterly. You'll need 2-4 hours per month maintaining your custom solution. That's $1,800-$7,200 annually just to keep it working.
Three-year total cost of building: $8,400-$29,400
Three-year cost of ProOps Ads Tracker: $8,964
But here's what the math doesn't capture:
You get it today, not in 2-3 months after development. You have no maintenance burden on your dev team who could be building revenue-generating features instead. The tool is continuously updated as GAM changes - you never worry about API updates breaking your monitoring. Support is included when you need help or have questions.
When building makes sense:
You have very specific requirements that can't be met by any existing tool. You have idle development capacity with nothing better to work on. You're managing 10+ GAM networks and want a single unified custom solution.
For most publishers, buying beats building by a significant margin.
"We Don't Have Budget"
Let's reframe this:
The tool pays for itself immediately through labor savings. If your team spends $1,000+ per month on manual monitoring (and most teams spend much more), you're not "finding new budget" - you're redirecting wasted spend to a more efficient solution.
Here's the proof:
Start with the free trial. Measure actual hours saved in week 1. Track issues caught early in week 2. If you don't save at least 4 hours across your team, cancel before spending a dollar.
Spoiler: Most teams save 4-6 hours per person in the first week alone.
The real budget question:
Can you afford to keep spending $5,000+ per month on manual labor when you could spend $249 on automation and redirect that saved capacity to revenue-generating work?
"Our Current Process Works Fine"
Let's define "fine":
Are you catching issues the same day they start? Most teams without automation discover issues 3-5 days later.
Are you delivering 95%+ of all direct-sold budgets? Industry average without automation is 85-92%.
Is your team spending less than 20% of their time on monitoring and reporting? Most teams without automation spend 30-40%.
Do your team members feel they have time for strategic work and professional growth? Or are they constantly buried in manual tasks?
"Fine" usually means "we're used to it" not "this is optimal."
The question to ask yourself: If you could get back 20-30% of your team's time to focus on revenue-generating activities instead of manual checking, what would that be worth?
One publisher told us: "We thought our process was fine until we saw how much time we were actually wasting. 'Fine' was costing us $70,000 a year in labor and who knows how much in missed revenue."
"We're Too Small for Automation"
Counter-intuitive truth: Small teams benefit the most.
For a 2-person team, saving 5 hours per person per week equals a 25% capacity increase. That's like getting a half-time employee back for $249/month.
Compare that to hiring: A part-time contractor would cost $2,000-$4,000 per month for the same hours. A full-time junior hire is $50,000+ annually.
Small teams have less redundancy:
When one person is out sick or on vacation, you can't afford to miss issues for three days. There's no backup person to cover the manual checks. Automation doesn't take sick days or vacation.
Small teams feel every inefficiency more acutely:
Every hour your 2-person team wastes on manual checking is an hour they can't spend on revenue optimization. The percentage impact of automation is highest for small teams.
One 2-person team told us: "We're too small NOT to automate. We can't afford to waste 20% of our capacity on tasks a tool can do better."
"What If the Tool Goes Down?"
Your backup plan is simple:
You still have full access to GAM directly - nothing changes about your core setup. The tool uses read-only access so it can't break your GAM configuration. You can revert to manual checks anytime if needed.
Here's the reality:
GAM itself has more downtime than monitoring tools. When GAM has an outage, everyone is affected - you, your competitors, every publisher. A good monitoring tool actually catches and alerts you to GAM issues.
ProOps Ads Tracker runs on Google Cloud infrastructure with 99.9% uptime. That's better reliability than most publishers' internal systems.
Measuring Success During Your 30-Day Trial
When you start your free trial, track these specific metrics to validate ROI and build your business case:
Week 1-2: Establish Your Baseline
Before turning on automation, measure:
Hours spent on manual monitoring: [___] total hours across team
Number of issues caught this week: [___]
Average time to discover issues: [___] hours or days
Team satisfaction score on 1-10 scale: [___]
Write these numbers down. You'll compare them to weeks 3-4.
Week 3-4: Measure the Difference
With automation running, track:
Hours spent on monitoring with automation: [___] hours
Time saved compared to baseline: [___] hours
Number of issues caught by automation: [___]
Average time from issue start to discovery: [___] hours
Issues the tool caught that you would have missed: [___]
Estimated revenue protected: $[___]
Team satisfaction score on 1-10 scale: [___]
Your Success Criteria
Continue with paid subscription if:
Time savings ≥ 4 hours per week across your team
Issues are caught ≥ 24 hours earlier on average than before
At least 1 significant issue prevented (worth more than $1,000)
Team satisfaction improved or stayed high
Tool feels easier than your manual process
Cancel if:
Time savings < 2 hours per week total
No issues caught that weren't already obvious through manual checking
Team finds the tool harder to use than the manual process
Benefits don't justify the $249 monthly cost
The reality:
Over 90% of trial users convert to paid subscriptions because the time savings and issue detection are immediately obvious within the first week.
Most teams tell us: "We can't believe we were doing this manually for so long."
Three Ways to Get Started Today
Option 1: Start Your Free Trial Now (Most Popular)
What you get for 30 days:
Full access to all features with no limitations. Setup support from the ProOps team via email. No credit card required upfront. Cancel anytime with no questions asked.
Your timeline:
Today: Request trial access via email
Tomorrow: Receive setup instructions and support
Day 2: Get your first automated morning report
Week 1: See measurable time savings
Week 4: Make your decision based on real data
Request your trial: Contact form here.
Option 2: Schedule a 30-Minute Demo First
Not quite ready to try it yet? See the tool in action with your specific use case.
Your 30-minute demo includes:
Live walkthrough of campaign alerts and how they work. Revenue monitoring dashboard with real examples. Inventory health tracking demonstration. Discussion of your specific team size and needs. Custom ROI calculation for your operation.
Schedule your demo: Here.
Option 3: Get a Comprehensive GAM Audit
Want a complete analysis of your operations before making any decisions?
What's included in your audit:
Full GAM setup review covering structure and configuration. Workflow efficiency audit identifying time-wasting processes. Revenue leakage analysis showing where you're losing money. Custom ROI projection specific to your operation. Detailed optimization recommendations beyond just monitoring.
Investment: $3,000 for the comprehensive audit.
Special offer: Full audit cost credited toward your first 6 months if you implement ProOps Ads Tracker afterward.
Request your audit: Here.
The Bottom Line: Can You Afford NOT to Automate?
Most ad ops teams are sitting on a hidden goldmine: the 20-40% of time they spend on manual monitoring and reporting.
That time could be redirected to:
Yield optimization with 15-25% revenue lift potential through better floor pricing and demand partner management.
New demand partner testing to increase competition and eCPMs.
Sales support for premium packages, enabling your sales team to close more complex deals faster.
Strategic planning and process improvement that actually moves the needle on revenue.
The question isn't "Can we afford automation?"
The real question is: "Can we afford NOT to automate when the ROI is 1,000-10,000% and the payback period is measured in days?"
Use the calculator above to run your specific numbers. Then start your free trial and validate the savings in your own operations with zero risk.
Your competitors who automate first will have a capacity advantage. They'll handle more campaigns with smaller teams. They'll catch issues faster and deliver more consistently. They'll optimize more aggressively while you're still pulling reports manually.
The cost of waiting isn't $249 per month - it's the revenue you're leaving on the table every day you operate manually.
Frequently Asked Questions
What if our team size changes during the year?
The tool costs $249 per month per GAM network for up to 3 user accounts. If your team grows beyond 3, then it’s a simple $49 per additional user per month on top of the base price.
Do you offer discounts for annual payment?
Contact us directly for annual pricing options. Most customers prefer monthly billing for budget flexibility, but we can discuss annual arrangements for committed long-term users.
What if we have multiple GAM networks?
The pricing is $249 per network ID (up to 3 user accounts). If you run 3 separate GAM networks for different brands or regions, the cost would be $747/month. For 3 or more networks, we offer custom pricing packages - contact us to discuss your specific situation.
Can we white-label this tool for our clients?
Not currently, but we have a referral program for agencies who recommend us to their publisher clients. You earn ongoing referral fees for every client you introduce. Contact us for partnership and referral program details.
What data do you collect and how is it secured?
We access GAM via read-only API and only pull the metrics needed for monitoring: campaign delivery data, revenue numbers, and ad request information. We don't access or store any advertiser PII, creative content, or sensitive business information. Full privacy policy available on request.
What happens if we cancel?
You keep access through the end of your paid period. Your data in ProOps Ads Tracker is retained for 30 days in case you want to return, then it's permanently deleted per our data retention policy. Your GAM data is never affected - we only read, never write.
Is there a setup fee or do we need developer support?
No setup fee. Setup takes 15 minutes and requires no technical expertise or developer support. You install a Chrome extension and connect your GAM read-only service account. We provide step-by-step instructions and email support if you need help.
Does this work with other ad servers besides GAM?
Currently ProOps Ads Tracker only supports Google Ad Manager. If you're using a different ad server, contact us - we're evaluating additional platforms based on demand.
Ready to see these savings in your operations?
Start your 30-day free trial today - no credit card required, cancel anytime, full access to all features.
📧 Contact us here.
📋 Subject: "Free Trial Request - ROI Calculator"
About ProOps Consulting
We help digital publishers and retail media networks turn ad operations into profit centers. Our clients have achieved 89% revenue growth while maintaining 95%+ delivery rates through process optimization and automation. Based in Toronto, serving publishers across North America.