Case Study: Monte Carlo achieves $6.1M in pipeline with Metadata.io

How Monte Carlo Used Campaign Experimentation to Create $6.1M in Pipeline

Monte Carlo, the data reliability company, needed a better way to reach accounts that matched its strict ICP because LinkedIn’s native targeting felt too limited. Its one-person paid media team was also spending too much time building experiments and determining which campaigns were actually working.

Using Metadata.io, Monte Carlo created custom audiences and exclusion lists, combined native LinkedIn targeting with firmographic and dynamic Salesforce account targeting, and set up campaign experiments with auto-pause rules. Metadata.io helped automate campaign analysis and budget allocation, leading to $6.1M in pipeline, 621 hours of work automated, a 14.5x ROI, and 3x less time spent launching and reporting on campaigns.

Monte Carlo