Blog
Oct 15, 2024
Digital marketing is a landscape of constant evolution, and demonstrating the impact of every dollar spent is non-negotiable. Yet, one recurring challenge leaves even seasoned marketers perplexed: a sudden drop in Return on Ad Spend (ROAS). While some teams shift focus to other metrics like Cost Per Acquisition (CPA), the underlying problem remains—reduced efficiency that needs immediate attention.
This guide explores a streamlined approach to identifying and resolving ROAS declines so your campaigns remain effective and aligned with broader business goals.
Step 1: Pause and Assess Before Acting. Don’t panic!
When a drop in ROAS occurs, avoid rushing into fixes. Knee-jerk reactions often amplify issues. Instead:
Treat it as a learning opportunity: Problems signal areas for improvement and refinement in processes, such as setting up proactive alerts.
Communicate with stakeholders: Keep teams informed about the issue and progress. Avoid sharing incomplete findings prematurely to prevent unnecessary confusion.
Evaluate the broader trends: A slight daily dip might not warrant panic, but a prolonged or significant downturn does.
Begin by examining key KPIs over time to determine whether the issue is part of regular fluctuations or signals a deeper problem.
Step 2: Validate the Issue—Data or Reality?
Before taking action, confirm the problem’s authenticity. Is your ROAS truly declining, or are data discrepancies skewing the picture?
Check for data inaccuracies: Common issues include overreported costs or underreported revenue due to delays or modeling errors. Cross-verify metrics with independent sources like product analytics tools.
Inspect external variables: Platforms like app consoles or analytics dashboards can reveal unrelated issues, such as high crash rates or SDK malfunctions, impacting performance visibility.
Establish whether this is a genuine ROAS drop or a byproduct of faulty data before proceeding to diagnostics.
Step 3: Identify the Root Cause - it’s time to slice and dice
Once confirmed, it’s time to “slice and dice” the data to identify the source. Break down your performance metrics across various dimensions and steps in the user journey.
Analyze Dimensions: Where’s the Problem?
Focus on segmentation to uncover trends:
By platform (e.g., iOS vs. Android)
By channel (e.g., search, social, or display ads)
By geo (e.g., specific regions)
This segmentation helps determine whether the drop is localized or widespread, guiding your next steps.
Break Down the Funnel: What’s Changed?
Decompose your funnel into key steps (mobile):
Click-through rates (CTR)
Conversion rates (e.g., installs to purchases)
Average revenue per user (ARPU)
Costs (e.g., CPC, CPA)
Pinpoint which step shows the most pronounced drop. Often, the culprit isn’t across the board but isolated to a particular campaign, network, or audience.
PRODUCT GIF to showcase flexibility
Create breakdowns
Change metrics
Add/Edit breakdowns → beardown by country
Step 4: Build Hypotheses and Take Targeted Action
Understanding the issue leads to actionable hypotheses. Examples for mobile:
CPI increases on specific platforms: If CPI rises for iOS on Facebook, investigate ad placements, creative performance, or audience overlap. Adjust bidding strategies or refresh creatives to restore efficiency.
Revenue conversion drops on a network: If a network underperforms, check for delayed data, SDK changes, or problematic traffic sources. Redirect spend or exclude low-quality publishers as needed.
Always test changes methodically to confirm their effectiveness and avoid further disruptions.
Key Takeaways
Start with validation: Verify whether the problem is genuine or data-related.
Adopt a segmented approach: Use dimension and funnel analysis to isolate the issue.
Act strategically: Form hypotheses based on evidence and execute targeted optimizations.
A decline in ROAS is not the end—it’s an opportunity to refine strategies, improve efficiencies, and better allocate resources. By diagnosing first and acting decisively, you’ll turn setbacks into scalable solutions.
Having a marketing analytics platform that enables you to explore data and test all your hypotheses quickly goes a long way.
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