Paid Ads Management
AI Marketing Ads Management
Meta Ads run like a lead machine — structured campaigns, creative tests, and cost-per-lead tracked to the naira.
This wasn’t "boost a post and hope." It was turning paid ads into an accountable, measurable lead machine.
The Scope
End-to-end Meta Ads management for an AI marketing project: campaign architecture, creative testing, live delivery monitoring, budget control, and cost-per-lead tracking across every variation.
What I Built
- Full campaign / ad-set / ad structures
- New-creative campaign tests
- Lead-generation campaign tracking
- Daily budget controls
- Performance-column review workflow
- Cost-per-lead monitoring
The Challenge & Process
The challenge
Every campaign had to earn its budget. The real work was knowing — quickly — which creative was actually producing leads, what each one cost, and where spend should keep going or stop.
The process
Campaigns were built to compare angles and audiences head-to-head, then judged on delivery, result count, cost per result, and creative direction. Winners scaled; the rest got refreshed, paused, or cut.
A managed paid-acquisition system with active campaigns, tracked lead results, transparent cost performance, and a clear runway for ongoing optimisation.
From the build
Reflection
What I learned
Every campaign must be accountable
Visibility isn’t the goal — knowing cost-per-lead and acting on it is. A dashboard that doesn’t change a decision is just decoration.
Test angles, not just creatives
Structured comparisons of message and audience reveal what actually moves leads, far more than swapping images.
Kill fast, scale faster
The discipline to pause losers early is what frees budget for the winners. Restraint is a performance lever.