🧠 Mitch’s Creative Judgement Framework
When evaluating ad creative:
- Wait for 8,000 reach before making decisions.
- Monitor frequency to assess funnel fit:
- Don’t pause campaigns solely based on poor ROAS if:
📊 Facebook Campaign Structure (Meta)
Recommended Setup:
- One Testing Campaign
- One Scaling Campaign
What to do when something wins?
- Reiterate and scale laterally:
🎥 Video Creative Strategy: The “100 Variations” Play
**If a video gets good throughplay (i.e., watched 15s+), don’t reinvent—**multiply:
- Keep the same hook.
- Change:
This is a volume game with signal-first logic. Don’t overthink “originality.”
🎨 Winning Creative Types (Remixable Framework)
Here’s the list, refined with notes on where and how they perform:
- Founder Story
- Us vs. Them
- Feature & Benefits
- Product Demo
- Customer Testimonial
- Actual UGC
What works on TikTok often translates—lean into this rawness.
🧱 Meta Advantage+ Shopping Campaigns (ASC)
- Needs ~150 purchases to exit learning and operate efficiently.
🧪 Audience OS & Measurement Strategy
If discussed: Audience OS likely refers to Meta’s machine-learning-led audience modeling. Key implication:
- Don’t fight the algo by slicing audiences thin. Focus on strong creative signals.
- Let the platform find pockets of value as long as conversion data flows properly.
🔐 Stape Setup (Attribution Infrastructure)
Stape helps implement server-side tracking (GTM server container). They’ve pushed two angles:
- Third-party setups (like Meta) with first-party data
- First-party data must be routed through third-party servers
Actionable Tip:
- Contact Stape sales → They operate as an agency too, and can deploy full setups if you don’t want to DIY.
- Especially useful if you’re seeing signal loss between platform reporting and backend.
- You don't need server side tracking on every account. Just for finicky clients worried about attribution and those top % clients looking to scale to the moon. (server tracking is a lot of work)