Ad Spend Report Dashboard
Power BI Template for Ads Spend Data: Optimize Your Budget and Maximize ROI
Stop guessing where your marketing dollars are going. Maya Insights provides a Power BI semantic model that unlocks your spend data, giving you custom reports, unified views, and complete control over your budget allocation to maximize return on ad spend.
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Without Maya
- Manual data collection from multiple marketing platforms.
- Difficulty consolidating data into a single, unified view to evaluate advertising spend.
- Time-consuming manual reporting and analysis.
- Limited visibility into marketing ROI and how to calculate return on ad spend.
- Difficulty identifying trends and patterns for optimizing ad spend.
With Maya
- Easy data integration from Google Ads, Facebook Ads, and more.
- Pre-built semantic model for a unified view in Power BI.
- Automated reporting and analysis, saving you time and effort, helping with marketing spend optimization.
- Clear visibility into the ROI of your marketing campaigns, keywords, and ads.
- Easy identification of trends and patterns for optimization.
What you’ll learn from this Marketing Ad Spend Dashboard Template
By using Maya Insights, you’ll gain a solid understanding of your marketing spend and spot key areas to improve. You’ll be able to:
- Track Key Marketing Spend KPIs: Monitor cost, impressions, clicks, CTR, conversions, CPA, CVR, and conversion value across all channels in real-time to effectively monitor ad budget.
- Analyze Performance at All Levels: Drill down from accounts to campaigns, ad groups, ads, keywords, and conversion events for detailed insights.
- Spot Top Performers and Underperformers: Quickly see which campaigns and keywords are getting the best (and worst) results to adjust your budget.
- Optimize Budget Allocation: Make informed decisions about how to allocate your budget across different channels and campaigns for the best results.
- Improve ROI: Find chances to cut costs, get more conversions, and increase your return across all marketing.
How Maya’s Semantic Model Works
Simple 3-Step Process to Unified Marketing Advertisement Spend Insights
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#1
Connect Your Data Sources
Easily link your Google Ads, Facebook Ads, Bing Ads, and other marketing integrations to Maya Insights.
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#2
Automated Data Integration & Transformation
Our semantic model automatically cleans, normalizes, and structures your marketing spend data for a full view of how things are performing.
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#3
Instant Visualization & Reporting in Power BI
Connect Maya’s pre-built semantic model to Power BI and instantly access useful dashboards and reports to inform your marketing strategy.
Analyze Your Marketing Spend with Maya
Maya Insights lets you go past standard reporting. With the pre-built semantic model and the flexibility of Power BI, you can:
- Create Custom Campaign Clusters: Group campaigns based on marketing goals or target audiences (using
CCx). - Create Custom Conversion Clusters: Group conversions based on event (using
ConvCx - {Conversion Cluster x Name}). - Analyze Performance by Device Category: See how your campaigns are performing on different devices (desktop, mobile, tablet).
- Segment by Account Service: Analyze spend data by marketing service (Google, Facebook, etc.).
Track Campaign Status: Monitor active, paused, and draft campaigns for good management.
Explore all of Maya’s functionalities
FAQs
What specific ad spend metrics are included in the Maya semantic model?
The Maya Insights semantic model includes a full set of metrics for thorough spend examination inside Power BI:
Core Spend Metrics:
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Cost: Total digital advertising cost.Impressions: Total impressions from paid campaigns.CPM: Cost Per Mille (Cost per Thousand Impressions).Clicks: Total clicks from paid campaigns.CPC: Cost per Click.CTR: Click-through-rate.Conversions: Total Conversions.
CPA: Cost per Conversion.CVR: Conversion Rate.Conversion Value: Total Value of Conversion events, crucial for calculating return on ad spend.
Dimensions:
Examine these metrics across dimensions like Year, Quarter, Month, Week, Date, Account Service, Account Name, CCx, Campaign Name, Campaign Status, Campaign Type, Ad Group, Ad, Ad Group Status, Ad Group Type, ConvCx, Conversion Name, Conversion Category, Device Category, and Device. Integrate with other data sources for detailed views.
What types of marketing spend examination questions can I address with Maya Insights to improve return on ad spend?
With Maya Insights, you can answer questions like: Which campaigns have the highest ROAS? Are my paid search spend efforts profitable? How does device category impact my CPA? Identify trends and patterns to fine-tune your strategy.
Can I examine ad spend data for particular market segments to improve marketing spend optimization?
Maya Insights allows you to segment your data by dimensions like Device Category, Account Service, and custom Campaign Clusters to understand how different segments are performing and tailor your approach accordingly.
Who can get value from using Maya Insights for marketing ad spend examination?
Marketing managers, digital agency professionals, and business leaders can use Maya Insights to gain a clear understanding of their ad spend, optimize their budget allocation, and improve their overall marketing ROI.
What is ROAS?
Return on Ad Spend (ROAS) is a key marketing metric that measures the revenue generated by an advertising campaign relative to its cost. It helps in evaluating the effectiveness of digital marketing efforts.
ROAS tells you how much revenue is earned for every dollar spent on advertising.
ROAS focuses on specific ad campaigns, while Return on Investment (ROI) looks at wider expenses.
How to calculate Return on ad spend (ROAS)?
The return on ad spend formula is simple: it is the total revenue from an ad campaign divided by the total cost of the campaign.
For example, if a company spends $1,000 on an ad campaign and earns $4,000 in revenue, its ROAS is 4:1, meaning it earns $4 for every $1 spent. With Maya Insights, you can automatically track and calculate ROAS across all your campaigns.
What is ad spend?
Ad Spend, or advertising spend, is the total money a business puts into advertising campaigns to promote its products, services, or brand. This can be across digital platforms, traditional media, and outdoor advertising.
Ad spend may include digital, TV, radio, print, and outdoor advertising.
How to calculate ad spend?
Ad Spend, or advertising spend, is the total money a business puts into advertising campaigns to promote its products, services, or brand. This can be across digital platforms, traditional media, and outdoor advertising.
Ad spend may include digital, TV, radio, print, and outdoor advertising.