I spent 6 years mastering performance marketing. Now I'm making the job obsolete.
I got really good at something that shouldn't require a human.
$10M+ in ad spend. 100+ DTC brands. Meta, Google, TikTok. Three countries. I was the person brands called when their ads were bleeding money and they couldn't figure out why.
And the whole time, I had this uncomfortable thought I couldn't shake: why does this need me?
80% of my job was pattern recognition. Same metrics. Same problems. Same playbooks. The only edge I had was speed. But "fast for a human" still means the budget already bled for 48 hours before I caught it.
Here's what nobody in this industry says out loud: performance marketing at scale isn't strategy. It's monitoring. And humans are terrible monitors. We sleep. We get distracted. We manage 20 brands and give each one 5% of our attention. The entire model runs on hoping someone notices in time.
One weekend, a campaign broke silently. $2,000 gone before Monday. I've seen this at 10x scale. Every agency has these stories. Nobody admits it.
So I quit. Not because I was failing. Because I was good enough to know the whole model was broken.
I built 7 AI agents that do what I used to do, except they don't sleep, they don't forget, and they get smarter every day. They monitor every account in real-time. Catch anomalies the hour they happen. Forecast where your numbers are heading. Drop a morning briefing in Slack before you've opened your laptop. And they share memory. What one agent learns about your brand, every agent knows. The system compounds.
Pilot results:
- Forecast accuracy: 78% to 91%
- Caught a live budget leak worth $2K
- 45 min of daily dashboard work, gone
Solo founder. Delaware C-Corp. Running pilots in India and the UK. Building for brands and agencies at $500K+/year in ad spend.
I'm not building a tool for performance marketers. I'm building their replacement. Starting with the job I used to do.
It's called Cresva, cresva.ai
If you run ecommerce ads: what part of your job do you already know a machine should be doing? 👇
The honesty here is refreshing. Most performance marketers are either in denial about AI replacing them or they're pretending it can't do what they do. You're actually building the replacement, which is the smart play.
The part about platform-specific quirks is key though. AI can optimize bids and copy at scale, but each ad platform has its own weird edge cases and API quirks that take years to learn. The question is whether your tool encodes that tribal knowledge or if it's doing generic optimization.
Also curious — how are you handling the multi-platform attribution problem? Running ads across Meta, Google, and TikTok simultaneously means you're dealing with three different attribution models that all claim credit for the same conversion. That's always been the hardest part of cross-platform campaigns and I haven't seen anyone solve it cleanly yet.
Appreciate this, and you're right, the tribal knowledge part is exactly where most "AI marketing tools" fall flat. They're just dashboards with GPT bolted on.
That's why I built Cresva as agents, not a tool. Each agent has compound memory, it learns the quirks of YOUR account over time. The weird Meta CPM spike every Thursday because your audience overlaps with a competitor's retargeting window. The Google campaign that tanks when you scale past $800/day because the audience pool exhausts. That stuff isn't in any playbook. The agents learn it by watching your data daily and remembering.
On multi-platform attribution, honestly, nobody's solved it cleanly because the platforms will never agree. They're incentivized to overclaim. Our approach isn't to build another attribution model. We pull raw platform data, deduplicate where we can, and focus on incrementality signals rather than last-click credit. The agents flag when your blended ROAS diverges from platform-reported ROAS, which is usually where the real story is. Not perfect, but it's more honest than trusting any single platform's numbers.
Early but the compound learning is what makes it different from everything else out there. The system on day 90 is unrecognizable from day 1.