How Firstup Generated $6M in Revenue With 122X ROI

Firstup needed effective ABM execution to reach target accounts via paid social. Manual processes limited their ability to experiment with different audiences, creative, and messaging combinations, making it difficult to identify what would resonate with their ideal customer profile.

Metadata provided a data-driven approach to Firstup's ABM strategy.

• Historical Analysis — Metadata analyzed Firstup's historical opportunity data and developed a customer profile aligned with their ICP.
• Multivariate Experimentation — Ran experiments testing multiple audience, creative, and messaging combinations across Facebook and LinkedIn.
• MetaMatch — Ensured ads reached the right contacts within target accounts across paid social channels.

Metadata delivered measurable impact at every stage of Firstup's pipeline.

• 90 days: Best lead volume and lowest CPL since launching paid social
• 6 months: 70 influenced opportunities, $1M in new revenue, conversion rates jumped from 7% to over 28%
• Overall: 24X pipeline increase, $6M in revenue, 122X ROI

Firstup is useful proof for teams evaluating whether paid social can become a controlled revenue program instead of a channel-by-channel activity. The story shows audience quality, experimentation, MetaMatch targeting, and campaign automation working together with measurable revenue outcomes.

For a buying committee, the key question is not whether Metadata can launch more ads. It is whether the platform can turn historical opportunity data into better audiences, test multiple creative and message paths, and show which combinations deserve more budget. That is the same operating model buyers should inspect in a demo: audience logic, campaign structure, experiment setup, conversion path, and the reporting trail that connects paid media to pipeline.