Top metrics to monitor for digital ad campaigns

Getting started with effective reporting on advertising campaign performance can be challenging. The sheer number of metrics available—especially when tracking multiple ad platforms—can overwhelm even experienced marketers. Add in the complexity of choosing the right visualizations and reporting tool, and the task feels daunting.

This guide focuses on the key metrics you need to monitor when reporting on digital advertising campaigns, organized from foundational to advanced so you can build dashboards that drive action.

Before you start choosing your metrics, consider…

1. Who are you reporting for?

Your audience shapes everything. A CEO or VP needs a high-level overview that highlights business impact. A marketing manager wants more granularity to optimize campaigns. Your data analyst craves raw numbers and trends. Tailor your report to each viewer's role and decision-making needs.

2. What data (and what level of detail) does that person really need to take action?

Nobody acts on a report with too much or too little information. The sweet spot is tight and specific.

Aim for 6–8 metrics on a company-wide executive dashboard and 8–10 metrics on a team-specific dashboard. This constraint forces you to prioritize what matters.

Put yourself in the other person's shoes: What questions do they need answered? What decisions will they make? Better yet, ask them directly what they need to see and how they need to see it.

3. What time periods do you need to look at?

Time dimension is crucial when building metrics. You'll likely need to display data by day, week, or month—but make sure that granularity is available in your data source before you start building.

Also consider historical comparisons. Do you need this month versus last month, or this month versus the same month last year?

Pro tip: Daily trends generate roughly 30 times more data than monthly trends. For daily reporting, stick to a shorter time window—90 days or less is ideal. You rarely need to know what happened 127 days ago to the day.

Once you have answers to these three questions, you're ready to move forward. Remember: keep it simple.

Reporting on ad campaign performance: Basic metrics

Here are the four must-have digital ad metrics:

• Impressions: A count of the total number of times digital advertisements display on someone's screen within a publisher's network. Track Ad Frequency alongside this metric for a complete picture.

• Clicks: The number of times users have clicked on a digital advertisement to reach an online property.

• Ad spend: The amount of money spent on specific ad variations within a campaign or ad set.

• Conversions: Shows how well your selected campaign has driven your desired actions (a purchase, a signup, a download, etc.).

Bonus: Learn about the difference between ad clicks vs. ad impressions.

Depending on your campaign goals—whether you're selling a product, building an email list, or driving app installs—one metric may matter more than another. Place the metric that matters most in the top left corner of your dashboard. This draws the eye first and signals priority.

Reporting on ad campaign performance: Advanced metrics

Beyond the basics, calculated (or "derived") metrics provide context. Think of them as thresholds or benchmarks that help you interpret raw numbers.

For example, if you spend $100 and get 10 clicks, your cost-per-click is $10. But if you spend $100 and get 1 click, your cost-per-click is $100. The derived metric reveals efficiency in a way raw numbers cannot.

Pro tip: Calculated metrics only make sense with sufficient historical data. If you've spent only a few dollars on ads, cost-per-click will swing wildly with each new click. Wait until you have a meaningful sample size before drawing conclusions.

Three must-have advanced metrics (in order of importance):

• Cost-per-click (CPC): Shows the average cost each time someone clicks your ad. A rising CPC signals declining efficiency; a falling CPC suggests your targeting is improving.

• Click-through rate (CTR): The percentage of people who see your ad and click it. A higher CTR indicates your ad resonates with your target audience.

• Cost-per-action (CPA): The average cost to achieve one desired outcome (a purchase, a signup, etc.). This metric directly reflects campaign efficiency and profitability.

Three additional advanced metrics to consider:

• Goal completions in Google Analytics: A goal represents a completed activity you've defined as important—completing a form, downloading a resource, or making a purchase. Goal conversion rate is vital for measuring website and business effectiveness.

  Pro tip: If you manage multiple websites, use the same goal IDs for the same goals across properties. This makes cross-site analysis much easier.

• Ecommerce transactions in Google Analytics: For websites selling products, this metric directly ties ad spend to revenue. It's one of the most actionable metrics available.

  Pro tip: Ensure your UTM tagging is properly structured. UTM parameters let you attribute transactions back to specific campaigns and ad platforms.

• Platform-specific conversions: Facebook, Google Ads, LinkedIn, and other platforms each offer standard conversion types. Use your reporting tool to capture the conversions that matter most to your business.

Once you've set up advanced conversion metrics, report conversions as your primary metric and use cost-per-conversion and conversion rate as health indicators for your campaigns.

If you've configured ecommerce transactions and revenue metrics in Google Analytics, use ecommerce revenue as your potential target metric and tie it back to ad spend.

Taking your reporting to the next level: Super-advanced metrics

If you've defined conversions and set up ecommerce metrics, you're ready for the next level.

Pro tip: Don't abandon simplicity. Stick to 6–8 metrics on a company-wide dashboard and 8–10 on a team dashboard. Build multiple focused dashboards—one per campaign, platform, or narrative—rather than cramming everything into a single view.

Return on ad spend (ROAS)

ROAS measures how much revenue your campaigns generate for every dollar spent.

ROAS = (Revenue from campaigns) / (Ad spend)

To calculate ROAS, you need revenue data from your ad platforms or—even better—transactions tied to specific campaigns. This often requires mapping campaign data from multiple ad platforms to your Google Analytics revenue data. ROAS is a powerful indicator of campaign quality and platform performance.

Understanding ROAS thresholds

A general rule: ROAS above 1 means you're earning more than you're spending. But this assumes zero product costs, which is rarely true.

If your product costs 50% of its selling price, you need an ROAS of at least 2 just to break even. If you also factor in repeat purchases—customers who buy again—you can set a minimum ROAS based on estimated lifetime value. This approach mirrors how customer lifetime value works in SaaS.

Master metrics: The complete picture

When you're ready to master your data, add these metrics:

• Return on investment (ROI): The most comprehensive calculated metric available.

  ROI = (Revenue - Total costs) / Total costs

  ROI reveals the true health of your campaigns by accounting for all relevant expenses, not just ad spend. It includes salaries, software, creative production, and other costs.

  Important considerations:

  • Ensure you've included all relevant costs. Omitting even one expense category distorts the picture.
  • Treat ROI as a benchmark or target (e.g., aim for a minimum ROI of 1.05). The trend matters as much as the absolute number.
  • Set ROI as a dashboard target so you can track progress over time.

• Rate of return (returned goods): For ecommerce businesses, returned products directly reduce profitability. Track this to understand true campaign value.

• Gross margin: Reveals the percentage of revenue left after product costs. A campaign may drive high revenue but low margin if you're selling discounted products.

Pro tip: Use BigQuery or a similar data warehouse for complex metrics like returned goods and product margin. These calculations often involve large datasets and complex joins.

Keep it simple: Avoid metric overload

As a final reminder: avoid metric overload. Display only the metrics that matter most to those who need to see them. More data doesn't equal better decisions—focus does.

Start with the basics. Add advanced metrics when you have enough historical data to draw meaningful conclusions. Move to master metrics only when you're ready to optimize across your entire business.

The goal isn't to track everything. The goal is to track what drives decisions and action.