Measuring return on investment, or ROI, is essential for understanding whether digital advertising spend is actually generating value for a business. Unlike traditional advertising, digital campaigns offer detailed data that can be used to calculate ROI with relative precision.
Core Metrics to Track
Key metrics include cost per acquisition, which measures how much is spent to gain a single customer, and return on ad spend, which compares revenue generated to the amount spent on advertising. Conversion rate and average order value also play a role in understanding overall campaign profitability.
Attribution Models
Attribution models determine how credit for a conversion is assigned across the different touchpoints a customer interacts with before converting. Last-click attribution gives all credit to the final interaction, while multi-touch models distribute credit across several touchpoints in the customer journey. Choosing the right model depends on the complexity of the sales funnel and the channels being used.
Beyond Last-Click
Relying solely on last-click attribution can undervalue channels like display or social media that often play a role earlier in the customer journey. Many advertisers now use data-driven attribution models that use machine learning to more accurately distribute credit based on actual conversion patterns.
Setting Realistic Benchmarks
ROI expectations should be based on industry norms, historical performance, and the specific goals of a campaign. Comparing performance against past campaigns and industry benchmarks helps set realistic targets rather than relying on arbitrary numbers.