Manual workflows and fragmented advertising reporting processes result in inaccurate insights and missed opportunities that impact your ROI.
If your teams are still manually managing complex digital advertising reporting tasks, it’s not just an immediate problem: you’re jeopardizing your company’s long-term profitability. Continued reliance on manual inputs and delayed analyses is costing your team the speed, agility, and accuracy needed to fuel business (and client) growth.
Working from one multichannel advertising management system eliminates data silos, enables actionable cross-channel insights, and frees your team for more strategic initiatives. Best of all, consolidating all your advertising data into one reporting system can help you finally break through the profitability plateaus caused by high labor costs and inaccurate or delayed analyses.
In this article, you’ll learn:
- Why disconnected ad channel data costs your enterprise both time and money
- How an enterprise-wide advertising system helps your AdOps teams save time and refocus on strategy
- Four benefits of using a fully integrated data system for reporting workflows and improved performance
- How to maximize your reporting technology investments and human team
The high labor and resource costs of disconnected advertising data
Relying on manual, by-channel data-pull processes comes at a deceptively hefty price. In some enterprise organizations, a whole team is dedicated to merely preparing data, let alone analyzing it to understand what the data says. The associated labor costs add up fast.
Here’s the thing: even after hours of work, the resulting reports may lack the accuracy or depth needed to move the performance needle—and the resulting recommendations rarely align with real-time needs. It simply takes too much time.
Teams can’t move fast enough to adequately identify real-time trends, adjust tactics, or reallocate budgets to maximize performance results because they’re always running against the clock.
Long story short: missed optimization opportunities and exorbitant labor costs impact your company’s revenue and ROI. That’s why a centralized, cross-channel reporting solution isn’t just helpful for your enterprise advertising company: it’s essential if you want to stay ahead.
Let’s take a high-level look at the benefits of using an enterprise advertising reporting system for time, cost, and labor savings.
The benefits of enterprise-wide advertising reporting solutions
1. Make holistic, strategic decisions by removing channel data silos
Disconnected systems prevent you from seeing the bigger picture. You need access to all advertising data in one place to make strategic and informed decisions across your org.
Multichannel advertising reporting solutions consolidate performance metrics from every ad account across major publishers into one place. With the right solution, you can even seamlessly integrate this data into your existing tech stack (e.g., NinjaCat, Tableau, or other BI tools) to get a full picture of your organization. Holistic access to data can help your team stay on track with wider strategic goals instead of making improvements channel by channel.
For example, it may make more sense to reallocate budget from Meta Ads to Google Ads to hit a high-level KPI, but it would be impossible to know that unless you could view each channel’s performance data side-by-side.
With a centralized platform, enterprises can pinpoint which campaigns deliver the highest ROI or which channels are underperforming compared to others. For instance, your LinkedIn ads might generate the most valuable leads but your search ads drive brand awareness at a lower cost. Armed with cross-channel insights like this, your AdOps team can maximize budgets and strategic efforts.
2. Drive real-time performance optimizations with cross-channel notifications
Reporting shouldn’t just happen at the end of the month, after the opportunity has passed to make improvements. After all, digital advertising runs on speed: access to real-time performance data is invaluable for hitting your goals.
Bringing performance data into one place guarantees that everyone always has access to the most current data so decision-makers can identify anomalies, spot trends, and pivot strategies as needed.
Better yet, using a comprehensive Digital Advertising Operating System (DAOS) seamlessly delivers insights to stakeholders across your enterprise, shifting analysis from reactive to real-time and enabling instant campaign optimizations. Proactively surfacing opportunities and risks allows teams to adjust strategies in real time rather than relying on static, after-the-fact reporting.
Examples of some of the notifications within Fluency’s DAOS include:
- Expired messaging concerns: get notified about ads running expired holiday copy or text with dates in the past.
- Problems with destination URLs: learn when any ad group level destination URL returns a landing page error code.
- Limited or disapproved ads: when an ad platform disapproves an ad, get insights into why and take rapid action to get ads back up and running.
- Budget reallocation recommendations: immediately accept, edit, or reject cross-channel budget reallocation suggestions based on cost per conversion, conversion volume, or CPC goals.
- Zero spend accounts or campaigns: learn when accounts/campaigns aren’t spending even though they have an approved budget greater than $0 and have campaigns enabled.
- Performance concerns: get notified when metric performance falls outside the parameters you’ve set.
- Keyword recommendations: have account keyword recommendations delivered right to decision makers, including suggestions for keyword bid decreases/increases or adding/removing keywords.
(Check out the full list of Fluency’s DAOS notifications here.)
Notifications ensure that your team is agile enough to respond to the relentless pace of digital advertising with ease.
3. Deliver AI-powered insights directly to decision makers
Data is only as valuable as its ability to inform decisions. This is especially true when the right answer or opportunity is buried deep in complex data sets.
Putting AI behind your analyses means your enterprise ad team can analyze massive, highly complex performance data from multiple channels without the heavy manual lift. Context-specific AI, like that found within a system designed for digital advertising, can go one step further by translating analyses into actionable insights for your team.
Working from a single data hub enables AI insights to be user-specific. Each team member receives tailored notifications relevant to their work, making it possible to implement changes immediately. Instead of getting lost in spreadsheets, your AdOps team can redirect its focus to continuously optimizing advertising strategies based on AI-powered recommendations.
4. Establish your organization’s single source of truth
Siloed reporting processes and tools hamper communication, create unnecessary delays, and can lead to inconsistent data interpretations. Collaboration thrives when teams work from the same complete dataset.
Enterprise-wide reporting tools offer a single source of truth by centralizing data across all accounts and campaigns. Everyone—from junior ad strategists to senior executives—can see the same performance data tailored to their needs.
Democratizing your performance data opens up doors for collaboration. You can stop bottlenecking data insights with gatekeepers or forcing people to work with incomplete, channel-specific summaries. Instead, your entire enterprise AdOps team can explore multichannel opportunities, share findings, and meaningfully contribute to overarching strategies.
Scaling your enterprise’s profitability without adding headcount
One of the most significant advantages of using a fully-integrated Digital Advertising Operating System is the ability to scale your advertising efforts without increasing labor costs. By automating manual tasks like month-end reporting and real-time performance optimization analyses via a DAOS, you free up your workforce to focus on higher-value initiatives.
For enterprises already operating at scale, you can perform advanced AdOps workflows with technology, not people. Instead of sinking labor costs into human-powered data analyses, you can offload analysis and reporting tasks to tech like automation and AI agents. This ultimately leads to greater profitability because you don’t have to hire additional team members to manage increasing workloads or perform tasks that can be done by technology.
This also frees existing employees can focus on more creative tasks that require a human touch. You can reutilize your employees for tasks they perform better than technology: strategic decision-making, brainstorming, and collaboration. Plus, paired with intelligent notifications and recommendations, teams will prioritize work that yields the most significant business impact.
Why Fluency is the most comprehensive reporting solution for enterprise advertisers
It’s time to leave the inefficiencies of manual reporting and fragmented data behind. Using a fully integrated reporting system for advertising efforts is the best way to overcome the scalability, accuracy, and profitability challenges facing enterprises today.
Fluency’s paid media reporting tools can also be integrated into your overall tech stack because it is compatible with other BI tools, including NinjaCat and Tableau. Bringing all your reporting workflows into one place enables your team to utilize actionable insights and simplifies decision-making. Teams can react swiftly to opportunities or anomalies, optimize multichannel campaigns from one place, and scale sustainably.
With features like cross-channel integration, real-time data, AI-powered insights, and customizable dashboards, Fluency can help you achieve your advertising goals with unmatched precision. Take the next step toward streamlined reporting and measurable growth. Set up some time with our team to explore how enterprise advertising reporting automation can revolutionize your business.
