A conversation with:

Mason Wear
CRO, Q3 Advisors
As Chief Revenue Officer at Q3 Advisors, Mason Wear was responsible for ensuring the company could grow through paid acquisition while maintaining strong unit economics. But scaling consistently proved difficult without a trusted system of attribution.
“We were stuck in a loop — we’d scale ads, but didn’t have full confidence in what was working or why. Attribution data was limited, and we were relying on scattered platform reports.”
Without a centralized view of ROAS and attribution, Mason couldn’t:
Campaigns weren’t optimized around facts — they were influenced by fragmented insights. That meant lost time, inefficient spend, and missed opportunities to grow faster.
To fix these gaps, Mason implemented Cometly as the core infrastructure for paid performance reporting and attribution.
“We rely on — and only use — the Cometly Ads Manager to make budget decisions based on ROAS and attribution. It’s the only source we trust.”
Cometly wasn’t just another tool in the stack — it replaced reliance on native platform dashboards completely. Now, Q3 Advisors had one consistent, accurate view of performance that informed every dollar spent.
With Cometly fully deployed, the impact was immediate and measurable:
“We scaled our ad spend by 30% — and Cometly’s data gave us the confidence to do it. The clarity changed everything.”
By trusting Cometly to handle attribution and performance reporting, Mason and his team unlocked their ability to scale with clarity, control, and speed.
As soon as Cometly AI became available, Mason began using it to supercharge his campaign analysis — and more importantly, to drive smarter strategic decisions.
Now, instead of pulling manual reports or cross-referencing dashboards, Mason simply asks the AI:
“Cometly AI helps me make better-informed decisions — instantly. It surfaces insights from all the data we’re already collecting and turns it into strategy.”
For a data-driven revenue leader, this AI-powered speed matters. Cometly AI helps Mason act faster, spot issues before they escalate, and identify new growth opportunities in real time — all without needing a full analytics team.