Meet GoViral
Two months ago, GoViral had a game-changing tool: an AI Creator Assistant that could predict a video’s performance before it was posted. It was a brilliant product, but they faced a unique challenge: how do you market a "go viral" app to a skeptical audience of creators who are already trying to go viral every single day?
They needed proof it worked, and that, came with educating their audience.
Today, they’ve pulled in $35,000 in revenue directly from Virality-powered content, achieving a 3x return on their investment.
Here’s how we did it.
The Challenge
GoViral’s primary obstacles were built into their target market:
Creator Skepticism: The internet is flooded with "growth hacks." Creators are wary of tools that promise virality without proof.
The Authenticity Test: To sell to creators, you need to speak their language. Polished corporate ads wouldn't work; the marketing had to feel like it came from one of their own.
The Performance Paradox: The only way to prove GoViral worked was to make content about it go viral (a classic chicken-and-egg problem)
They needed a partner who could not only create authentic content but also deploy it with the scale and precision required to generate real, measurable, and highly consistent results.
A 5-Step Performance Engine
Step 1: We Diagnosed the Growth Mechanics
Before writing a single script, we dove deep into the creator economy. We analyzed what made similar tools successful and, more importantly, why others failed. This gave us a data-backed blueprint for crafting content that wouldn't just get views, but would actually drive installs.
Step 2: We Built a Custom Content Playbook
We designed specific content format, which was exclusively for TikTok slideshows, as we were confident in being able to target their ideal audience through this medium.
Step 3: We Activated a 50+ Creator Squad
With the playbook live, we activated a curated squad of over 50 creators. It was a deployment to creators whose audiences were filled with other aspiring influencers (and matched the demographic targetsting of females aged 16-29), ensuring every view was a potential customer.
Step 4: We Gave Personalized Feedback to our squad & Iterated
This is actually the (secret) sauce. Our campaign managers provided one-on-one, actionable feedback to every creator. This iterative loop is what turns a good video into a great one.
The result was several viral videos with an **insane 20% engagement rate (**a clear signal of content that deeply resonates and converts)