Using AI Marketer IMI and Creative Library to Optimize Ad Performance

Launching ads is only half the job. The real results come from continuously identifying what works, cutting what does not, and doubling down on winners. 0ads provides two purpose-built tools for this: AI Marketer IMI and the Creative Library.

AI Marketer IMI: Your Data Analyst on Autopilot

IMI is an AI-driven analysis layer that sits on top of your campaign data. Rather than requiring you to dig through tables and manually spot trends, IMI continuously monitors performance and surfaces actionable insights.

What IMI Does

Flags winning ads: Identifies ads and ad sets that are outperforming benchmarks so you know where to allocate more budget

Detects declining performance: Alerts you when a previously strong ad starts fatiguing or when CPA creeps above target

Suggests scaling opportunities: Recommends specific budget increases based on performance headroom and historical stability

Highlights anomalies: Catches sudden spend spikes, delivery issues, or conversion drops that need immediate attention

IMI does not make changes automatically (that is what Automation Rules are for). Instead, it provides the analysis and recommendations, leaving the final decision to you. Think of it as having a dedicated analyst reviewing your campaigns around the clock.

How to Use IMI Effectively

Check IMI insights daily as part of your morning routine. The recommendations are ranked by impact, so you can act on the highest-value suggestions first. Over time, IMI learns from your account patterns and becomes more relevant to your specific performance targets.

Creative Library: Performance Data Per Asset

Most ad platforms report performance at the ad level, but the real variable is often the creative itself. The Creative Library in 0ads tracks metrics at the individual creative asset level.

What the Creative Library Tracks

CPR (Cost Per Result) per creative across all ads using it

CPA (Cost Per Acquisition) per creative

Total spend accumulated on each creative

Active ads count showing how many live ads currently use each asset

Why This Matters

A single image or video might appear in 20 different ads across 5 ad sets. Aggregate ad-level data obscures the true performance of that creative. The Creative Library gives you a definitive answer: this image converts at $8 CPA across all contexts, while that video averages $14. That clarity drives better creative decisions.

Creative Testing Mode

To generate this data efficiently, use Creative Testing Mode when launching campaigns. This assigns multiple creatives within a single ad set, each with its own budget allocation. Unlike Meta's dynamic creative optimization (which optimizes toward a single winner quickly), this approach gives each creative a fair budget to prove itself, producing statistically meaningful performance data that feeds back into the Creative Library.

A Practical Optimization Workflow

Launch: Use Mass Launch to deploy 50+ ad variations across audiences and creatives

Analyze: After 3-5 days of data, check IMI for winning signals and Creative Library for per-asset metrics

Cut: Pause ads with creatives that underperform your CPA target (or set an Automation Rule to do this automatically)

Scale: Increase budget on ads featuring top-performing creatives, following IMI's scaling suggestions

Iterate: Upload new creative variations inspired by the winning elements and repeat the cycle

Combining with Automation

The real power comes from layering these tools. Use IMI insights to inform your Automation Rules. If IMI consistently flags ads above $12 CPA as losers in your account, set a rule to auto-pause at that threshold. If creatives with CTR above 2% reliably convert, set a rule to scale those automatically.

Data-driven optimization is not about checking dashboards more often. It is about building systems that surface the right information and act on it consistently. IMI and the Creative Library provide the intelligence layer; Automation Rules provide the execution layer.