Solving the Data Discrepancy Dilemma: How Boostr Helps Media Companies Regain Accuracy, Efficiency, and Revenue

In the fast-paced world of media sales, accuracy is everything. Whether you’re forecasting revenue for the quarter, reconciling end-of-month billing, or trying to identify why a campaign underdelivered, one truth remains constant: bad data costs money.

For many publishers, data discrepancies aren’t just an annoyance—they’re a recurring operational headache that leads to misinformed decisions, delayed cash flow, and missed revenue opportunities.

The culprit? An ecosystem of siloed systems, incomplete integrations, manual processes, and inconsistent workflows that make it nearly impossible to have a single, reliable source of truth.

At Boostr, we’ve helped media companies of all shapes and sizes tackle these issues head-on with our Order Management System (OMS)—a platform purpose-built to unify ad operations, increase visibility, and eliminate the chaos caused by mismatched or incomplete data.

Why Data Discrepancies Happen in the First Place

Before we get into the solution, it’s worth breaking down the root causes we see most often when new clients come to us:

1. Too Many Systems, Not Enough Integration
   Ad ops stacks often include a CRM, OMS, multiple ad servers, an ERP, and third-party data aggregators—each with its own quirks and data formats. Without robust integration, discrepancies are inevitable.
   
2. Limited System Knowledge Across Teams
   You might have an ad server expert who doesn’t understand CRM workflows, or a finance team that isn’t familiar with how IO revisions affect delivery data. These gaps create blind spots where discrepancies hide.
   
3. Manual, Error-Prone Processes
   Hand-keying numbers, exporting to spreadsheets, or importing files without validation can all introduce mistakes.
   
4. No Unified Source of Truth
   If teams are working off different “versions” of the data, the chances of misalignment skyrocket.
   

The impact? Unreliable forecasts, inaccurate billing, wasted hours chasing down the truth—and ultimately, less profit.

The Business Case for Getting It Right

When data is clean, consistent, and centralized, everything improves:

• Forecast accuracy soars – Revenue projections are based on reality, not guesswork.
  
• Billing accelerates – Invoices go out faster, cash comes in sooner.
  
• Operational efficiency increases – Teams spend less time chasing errors and more time on strategy.
  
• Decision-making improves – Leaders can act on insights they trust.
  

For companies where margins are tight and competition is fierce, these gains aren’t just nice-to-haves—they’re essential.

How Boostr Eliminates Data Discrepancies

Boostr’s approach is both technological and human. We combine a flexible, fully integrated OMS with onboarding, training, and ongoing support that ensures your team not only has the right tools but also knows how to use them effectively.

1. Seamless Onboarding & Data Validation

We start with a thorough migration process that emphasizes data accuracy from day one. If the data you feed into the system is clean, your forecasts, reports, and billing will be, too. Our onboarding team works closely with your admins to:

• Validate and clean historical data before migration.
• Ensure all deals, campaigns, and integrations are correctly configured.
• Train system owners on how data flows through Boostr and where potential pitfalls lie.
  

This foundation pays dividends later when troubleshooting discrepancies—you’ll know exactly where to look.

2. Built-In Best Practices Through Boostr University

Our knowledge base and e-training platform, Boostr University, goes beyond “how-to” articles. We teach teams:

• The correct order of operations for creating deals and IOs.
• Which fields are required and why.
• How to avoid the most common configuration mistakes that cause reporting errors.
  

When everyone follows the same playbook, data stays cleaner and discrepancies decrease dramatically.

3. Advanced Analytics as a BI Tool

Boostr Analytics functions like a built-in business intelligence platform for your ad ops data. With it, you can:

• Pull reports that reflect exactly what’s in our database.
• Compare UI views to analytics reports to pinpoint inconsistencies.
• Track changes over time to understand how deals and forecasts evolve.
  

4. The Snapshotter Tool – A Game Changer

For clients who want granular visibility into forecast changes, our Snapshotter tool delivers Day-over-Day (DoD) and Week-over-Week (WoW) insights. You can see:

• Which deals changed
• Which users made the changes
• Which products or accounts were affected
  

This transparency makes it easy to answer the dreaded “Why did my forecast drop overnight?” And “Where did my forecast drop?” questions without hours of manual detective work.

5. Knowing Your True Source of Truth

One of the most valuable lessons we teach clients is where the truth actually lives. For example:

• Once a deal is closed-won, all changes should be made in the IO.
• IO teaming share percentages must total 100% for revenue to reflect accurately.
• Every change—big or small—can impact downstream reporting, so precision matters.
  

By enforcing these practices, Boostr ensures that “data discrepancies” are often not errors at all, but intentional and traceable changes.

6. Hands-On Client Support

Even with the best tools and training, questions will come up. That’s why our client partners and support teams remain deeply involved post-launch. We:

• Understand the nuances of your specific setup.
• Help identify the source of discrepancies quickly.
• Walk your team through the resolutions step-by-step.

You never have to troubleshoot in isolation.

Common Discrepancy Scenarios We Solve

Here are a few patterns we’ve seen (and fixed) across our client base:

• OMS vs. Ad Server delivery mismatches due to misaligned dates, rates, budgets, or buffer quantities.
  
• Missing external IDs - Sync issues caused by mis-mapping of external IDs
  
• Incorrectly imported billing files—a quick fix once identified, but costly if unnoticed.
  

Our method is systematic:

1. Identify where the data appears incorrect.
2. Compare it to the source system.
3. Look for patterns or anomalies.
4. Cross-check daily line-level delivery data if needed.
   

Why Boostr Beats the Competition

While other OMS vendors offer varying levels of integration and reporting, Boostr stands out for three reasons:

1. Root-Cause First Approach – We don’t just patch the symptom; we trace it to the origin and fix it there.
   
2. Hands-On Expertise – Our team understands both the technology and the media industry, which means faster, more accurate resolutions.
   
3. Advanced, Flexible Analytics – Our reporting capabilities are far ahead of many competitors, giving you both high-level dashboards and drill-down granularity.
   

The Bottom Line: Accuracy = Revenue

Data discrepancies are more than a technical glitch—they’re a revenue leak. Every incorrect forecast, delayed invoice, or underdelivered campaign is money left on the table.

Boostr’s OMS not only plugs those leaks but also sets you up with the processes, tools, and insights to keep them from reappearing.

With clean, centralized data, you can:

• Confidently forecast future revenue.
• Bill accurately and on time.
• Optimize campaigns mid-flight for maximum yield.

In short: you make more money, faster, with less stress.

Ready to stop chasing bad data?

Let’s talk about how Boostr can give your team the clarity, speed, and confidence to focus on what really matters—growing your revenue.

Book a demo today!