Ad Creative Intelligence Agent
Automated Competitive Analysis → Systematic Winner Generation
Overview
A $2M/month D2C brand across health, auto, and digital products was spending $150K/month on ads but struggled to scale due to creative fatigue and saturation.
The challenge
The creative team was a bottleneck, producing only 20-40 concepts/month while competitors tested 200+. Manual research and random AI generation led to budget waste on unproven concepts.
The approach
Deployed an intelligence infrastructure: Automating competitor monitoring, analyzing winning patterns via Gemini Vision/Claude 4.6, and systematically generating 400+ variations using Veo.
The results
- ✓Scaled ad spend from $150K to $600K/month
- ✓Increased testing from 20 to 400+ variations/month
- ✓Reduced creative cost from $12k/mo to $600/mo
- ✓Found 20-25 winning concepts/month (vs 2-3 previously)
System snapshots
01Competitor Ad Repository
Live capture of every running competitor video ad with creative metadata, hook tags, and platform context.02Repurposed Visual Creatives
Static and overlay variants generated from competitor patterns, classified by hook, problem, and offer angle.
03Repurposed Video Creatives
Per-clip prompt history with character, lighting, setting, and product-angle tags driving variant generation.
04Competitor Library Drill-down
Same competitor library, drilled into a single ad to show how every running creative is decomposed and tagged.05Facebook Ad Analytics
Per-ad performance with winners, losers, and undetermined classification feeding the prompt-engine loop.
06Campaign Analytics Dashboard
Top-level Facebook ad campaign view: spend, impressions, clicks, and active vs paused campaigns at a glance.
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