ZoomInfo—GTM intelligence CAmpaign
Responsibilities: Art Direction, UI Design, Campaign Design & Execution
In November 2024, we kicked off exploratory work for ZoomInfo's Q1 GTM Brand Campaign, built to show revenue operators how to put go-to-market intelligence to work and preview new conversational commands in the product.
Early messaging wasn't aligned, and the visual direction followed: scattered, disconnected, no throughline. We were also mid-production with Mamash Productions Group, who needed direction we hadn't locked yet.
Round after round of concepts kept borrowing from other companies. None of them said "ZoomInfo." I had a different read: the company was leaning hard into an AI-forward position, and the visuals needed to lead with that.
I built an alternate concept on the side as a hedge. When the next round fell flat, I brought it to the table. That direction became the one we built the campaign around, the first concept that actually felt like where ZoomInfo was heading.
In addition to the Digital and OOH assets, I led the UI/UX asset creation for our GTM Brand Campaign video, produced in partnership with Mamash Productions Group. Having already built the identity and asset system for our OOH and Display creative gave us a strong foundation, making the video assets far faster to produce and visually consistent across the campaign.
The goal was to showcase the platform's sophistication, specifically how seamlessly it integrates to support teams through AI-driven lead qualification, real-time buyer insights, and automated workflow optimization.
Once we had a near-final cut, we storyboarded the video and identified every section that needed custom visuals. From there we worked through the script to bring ZoomInfo Copilot to life on screen, showing how it fits into day-to-day workflows. The creative direction centered on positioning Copilot as an always-ready companion, present without being intrusive: sleek, confident, and sophisticated. Throughout, we partnered closely with product marketing to make sure each visual accurately reflected the feature it represented.