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Back to Strategy Hub

Meta Advantage+ Shopping Guide: ASC+ Setup & Strategy

2026-02-01
4 min read
Kiril Ivanov
Kiril Ivanov
Performance Marketing Specialist

For 10 years, Facebook Ads was about manual control: "Target Men, 25-34, living in London, interested in Golf." Then came Advantage+ Shopping Campaigns (ASC). ASC is Meta's answer to Google's Performance Max. You give it: Creative, Budget, and Country. It gives you: Sales. There is no targeting. No demographics. No interests. It is terrifying for control freaks. But it works.

In this guide, we break down the ASC Algorithm, the "Existing Customer Cap", and how to run ASC alongside manual campaigns.

The Financial Logic of Automation

  • Manual Targeting: You guess who wants your product. (e.g., "Golfers").
  • ASC Targeting: Meta knows who bought golf clubs yesterday, who watched a golf video 5 minutes ago, and who clicked a competitor's ad.
  • Result: ASC has 1,000x more data points than you do. It finds the "cheapest conversion" first, then scales out.

Theory: The "Liquidity" Concept

Meta's AI craves Liquidity.

  • Restricted: "Spend $50 on this audience, $50 on that audience."
  • Liquid: "Here is $100. Spend it wherever the ROI is highest." ASC is pure liquidity. It moves budget between placements (Reels, Feed, Story) and users in real-time based on probability of purchase.

Framework: The 30/70 Rule

You should not move 100% of your budget to ASC. Why? Because ASC is a "Bottom of Funnel" harvester. If you stop feeding it new creative and new audiences (via Top of Funnel campaigns), it will eventually die.

  • 30% Budget: Manual Campaign (Testing new angles, broad targeting).
  • 70% Budget: ASC (Scaling the winners).

Execution: Setting Up ASC Correctly

  1. Campaign Type: Select "Sales" → "Advantage+ Shopping Campaign."
  2. Conversion: Purchase. (Don't use Add to Cart).
  3. Audience Location: Select your country. (Do not adding age/gender restrictions).
  4. Creative: Select "Import All Ads" or manually choose your top 5 best performers (Post IDs).
  5. Critical Step: Define "Existing Customers."

Advanced Strategy: The Existing Customer Cap

ASC loves to target your past buyers because they are easy conversions. This makes your ROAS look high (4.0+), but you aren't growing. You are just taxing your email list. The Fix:

  1. Go to Account Settings → Advertising Settings → Advantage+ Shopping.
  2. Upload your Customer List (Emails).
  3. In the ASC Campaign, set "Existing Customer Budget Cap" to 10%.
  4. Result: Now ASC must spend 90% of its budget on finding NEW people.

Case Study: The E-Commerce Brand

Client: Apparel Store. Old Setup: 10 Ad Sets (Interests, Lookalikes). CPA: $45. New Setup: 1 ASC Campaign. Result:

  1. Week 1: CPA dropped to $35.
  2. Week 4: CPA dropped to $28.
  3. Why: Meta stopped wasting money on "Interest" audiences that didn't convert and focused purely on intent signals.

Pitfalls to Avoid

1. The "Creative Dump"

Throwing 50 bad ads into ASC won't work. ASC is a multiplier. 0 x 100 is still 0. Rule: Only move "Proven Winners" (ads that worked in manual testing) into ASC.

2. Editing Too Often

Every time you edit an ASC campaign (change budget >20%, add creative), it re-enters "Learning Phase." Fix: Make changes once a week, not daily.

3. Ignoring the "Breakdown"

You can't see which "Audience" worked, but you can see which "Placement" worked. Check Breakdown → By Delivery → Placement. If ASC is spending 80% on "Audience Network" with 0 sales, turn it off (if possible) or improve creative.

Summary

ASC is the future of Meta Ads. It allows you to focus on the only lever you have left: Creative. The robot buys the media. You make the ads.

Your ASC Checklist:

  1. Define Existing Customers in Account Settings.
  2. Launch 1 ASC Campaign (don't split budget into 5).
  3. Set Customer Cap to 5-10%.
  4. Feed it Winning Creative only.

Let the machine work.

Kiril Ivanov

About the Author

Performance marketing specialist with 6 years of experience in Google Ads, Meta Ads, and paid media strategy. Helps B2B and Ecommerce brands scale profitably through data-driven advertising.

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