A conversation with:

Mimmie Helgesson
Manager of Performance Marketing, Trainual
As the Performance Marketing Manager at Trainual, Mimmie Helgesson’s goal is to run lean, efficient campaigns that generate high-quality demos at scale. But like many SaaS brands operating across platforms, she faced a major challenge: fragmented attribution and inconsistent server-side data.
“We needed better visibility into how our ads were performing beyond just platform dashboards. Conversion tracking, server events, and attribution were unreliable or incomplete.”
Meta’s ad platform, in particular, created headaches — with campaigns that performed well on the surface, but lacked the proof to back up view-through conversions or justify scale. This lack of clarity created friction around decision-making and made optimization slower than it needed to be.
To solve these problems, Mimmie turned to Cometly — deploying a full-stack setup to close tracking gaps, visualize performance, and build a stronger attribution foundation.
“The fingerprint visibility and user journeys in Cometly really stood out. It helped us see what Meta couldn’t — and that changed the way we think about attribution.”
With Cometly in place, Trainual could finally back up their ad performance with real data — not just what ad platforms were reporting.
Since integrating Cometly, Mimmie and the Trainual team have:
“It gave us better visibility into performance and helped us drive more qualified demos — and that’s what really matters for our sales team.”
Cometly helped Trainual see beyond what the ad platforms reported, delivering deeper insights that turned into real performance gains.
When Cometly AI became available to early users, Mimmie was ready. She had already been digging into Cometly reports manually — now, she could simply ask for the insights directly.
“We use Cometly AI to test-drive smarter decisions and manage campaigns more effectively. It helps us act faster, without sacrificing accuracy.”
Mimmie now relies on Cometly AI to:
The AI has become a tactical advantage — speeding up analysis and helping the performance marketing team stay ahead of trends, bottlenecks, and wasted spend.