Meta's Andromeda delivery system has fundamentally changed how Advantage+ Shopping Campaigns (ASC) work. The old playbook—micro-segmented audiences, low creative volume, constant tweaking—now actively hurts performance.

This 9-point checklist consolidates learnings from 50+ ASC launches where campaigns that follow it consistently outperform by 25%+.

Checkpoint 01: Account Setup & Signal

Your data infrastructure is the foundation of AI-powered delivery.

Checklist Item

Why It Matters

☐ Pixel + Conversions API (CAPI) firing and deduplicated

Ensures accurate event tracking without double-counting

☐ CAPI passing high-value parameters (e.g., transaction value)

Enables value-based optimization and better ROAS targeting

☐ iOS 14+ domain verification and Aggregated Event Measurement set

Required for tracking iOS users post-ATT

☐ Attribution window set to 7-day click + 1-day view (current default)

Aligns with Meta's recommended attribution for ASC

Quick Diagnostic

Events Manager → Data Sources → Your Pixel → Test Events
- Are events firing correctly?
- Is deduplication working (check Event Match Quality)?
- Is CAPI Match Quality above 6.0?

Checkpoint 02: Campaign Structure

Consolidation is the new segmentation.

Checklist Item

Why It Matters

☐ One consolidated campaign per offer (maximum data density)

AI needs 50+ conversions/week per ad set for stable learning

☐ Advantage Campaign Budget (CBO) turned ON

Lets AI allocate spend to best performers automatically

☐ Daily budget = 5x your target CPA (to hit 50 conversions/week)

Ensures enough signal for the learning phase

☐ Combine cold + warm audiences (stop segmenting, start consolidating)

More data = better AI optimization

Budget Calculator

Target CPA: $50
Required Daily Budget: $50 × 5 = $250/day
Weekly Budget: $1,750
Expected Weekly Conversions: 50+

Checkpoint 03: Audience Settings

Let the AI find your buyers—stop building walls.

Checklist Item

Why It Matters

☐ Broad targeting ON (Age/Gender/Location only; let the AI find the buyer)

Andromeda's AI outperforms human targeting in 2025

☐ Manual exclusions active (Exclude past 180-day purchasers)

Prevents wasting budget on existing customers

☐ Advantage+ Audience "Suggestions" used only as directional signals

Hints, not walls—AI may go broader

☐ Avoid narrow interest stacks; they now act as "walls" for the AI

Restricts AI's ability to find optimal audiences

  • Past 180-day purchasers (prevent cannibalization)

  • Existing email subscribers (if running separate retention campaigns)

  • High-frequency ad viewers with no conversion (optional, test first)

Checkpoint 04: Creative Strategy

Variety is the new targeting.

Checklist Item

Why It Matters

☐ 8–15+ distinct creative concepts (variety is the new targeting)

AI needs creative diversity to match different buyer personas

☐ High visual distinctness (ensure each ad triggers a new Entity ID)

Minor "reskins" get grouped as similar by Meta

☐ Diverse motivators: Mix Problem/Solution, UGC, and Social Proof

Different audiences respond to different psychological triggers

☐ Vertical/Square formats (9:16 and 4:5) for Reels-first delivery

Reels placements now dominate delivery

Creative Mix Template

Type

Quantity

Focus

Problem/Solution

3-4

Pain point → Your solution

UGC Testimonials

3-4

Real customer stories

Social Proof

2-3

Reviews, ratings, results

Lifestyle/Aspirational

2-3

Emotional connection

Educational/Demo

1-2

Product functionality

Checkpoint 05: Ad Copy & Audio

Audio keywords now influence delivery.

Checklist Item

Why It Matters

☐ 5+ headlines and primary text variations for GEM to test

Generative Expansion Module (GEM) optimizes copy combinations

☐ Audio Keywords: Use voiceovers with keywords your audience searches for

Andromeda analyzes audio—keywords in voiceovers affect targeting

☐ Messaging addresses different persona "pain points"

Different motivators for different audience segments

☐ Hook strength: Clear value or movement in the first 3 seconds

3-second thumb-stop determines if users watch

Hook Formula

[PATTERN INTERRUPT] + [SPECIFIC BENEFIT] + [CURIOSITY GAP]

Example: "I stopped spending $500/month on [X]... 
and here's what happened to my [desired outcome]"

Checkpoint 06: Landing Page Consensus

Ad-to-page consistency is now algorithmically measured.

Checklist Item

Why It Matters

☐ Semantic Matching: Page copy mirrors the ad's specific promise

Meta checks if landing page matches ad claims

☐ Mobile page load under 3 seconds

Slow pages = high bounce = wasted spend

☐ Visual continuity from ad to "above the fold" on the site

Reduces cognitive friction, improves CVR

☐ Minimal form fields to reduce friction

Each field = 10-15% fewer completions

Landing Page Audit

1. Does the headline match the ad promise?
2. Is the primary CTA visible without scrolling?
3. Are trust signals (reviews, badges) visible?
4. Is the page mobile-optimized?
5. Does it load in under 3 seconds?

Checkpoint 07: Conversion Health

Verify your signal quality before launch.

Checklist Item

Why It Matters

☐ Purchase/Lead events verified in Events Manager

Ensures you're optimizing for the right action

☐ Test transaction completed to verify value-based signals

Confirms revenue data is passing correctly

☐ Deduplication score is high (no double-counting between Pixel/CAPI)

Duplicate events confuse AI optimization

☐ Monitoring "New Customer Acquisition Cost" (nCAC) specifically

True efficiency metric for growth

Verification Steps

1. Events Manager → Test Events → Trigger a test conversion
2. Verify event appears within 30 seconds
3. Check that value parameter matches actual order value
4. Confirm deduplication (event should appear once, not twice)

Checkpoint 08: Launch & Patience

The first 7 days are critical—don't touch anything.

Checklist Item

Why It Matters

☐ Start with your calculated 5x CPA budget (avoid "budget-starving")

Under-budgeting prevents learning phase completion

☐ Strict "No Edit" rule for 7 days (GEM needs a longer sequence window)

Edits reset learning—costs 2-3 days each time

☐ Document baseline CPA/ROAS for 7-day window

Need comparison point for optimization decisions

☐ Monitor "Spend Distribution" to see which creative the AI prioritizes

Reveals which creatives AI considers most effective

Launch Day Checklist

☐ Budget set to 5x target CPA
☐ All tracking verified
☐ Calendar blocked: NO EDITS for 7 days
☐ Baseline metrics documented
☐ Spend distribution monitoring scheduled

Common Mistakes to Avoid

Mistake

Why It Hurts

Micro-segmenting audiences

Fragments data, starves AI of signal

Making tiny "reskin" tweaks

Meta groups these as "Similar"—doesn't count as new creative

Pausing ads in the first 48 hours

Interrupts "Retrieval Test" phase—AI was still learning

Low creative volume (running only 1-3 ads)

Kills AI's ability to match creatives to different user types

📊 Quick Reference: Budget & Timeline

Phase

Duration

Action

Pre-Launch

1-2 days

Complete this checklist

Learning Phase

Days 1-7

NO EDITS. Document metrics.

Evaluation

Day 8

Analyze spend distribution, CPA, ROAS

Optimization

Day 8+

Pause underperformers, add new creative concepts

🎯 Performance Benchmarks

After completing this checklist, expect:

  • CPA improvement: 15-30% lower than non-optimized launches

  • Learning phase completion: 90%+ of campaigns exit learning within 7 days

  • Creative efficiency: Clear spend distribution showing 3-5 winning creatives

  • ROAS stability: Less variance after learning phase completes

📥 Download Resources

Meta_ASC_PreLaunch_Checklist.csv

Meta_ASC_PreLaunch_Checklist.csv

5.69 KBCSV File

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