What You Will Learn
- What Advantage+ Shopping Campaigns are and how they differ from standard campaigns
- What Meta's AI automates in ASC vs what remains advertiser-controlled
- The data and asset requirements for launching ASC effectively
- Creative asset requirements and best practices for ASC
- When ASC outperforms manual campaigns and when it does not
- How the ASC learning phase works and how to evaluate performance correctly
What is Advantage+ Shopping
Advantage+ Shopping Campaigns are a campaign type in Meta Ads Manager specifically designed for e-commerce conversion campaigns. Unlike standard Sales campaigns where you manually configure audiences, placements, and often individual ad sets, ASC consolidates all targeting decisions into a single AI-driven campaign that simultaneously reaches new customers (prospecting) and existing customers (remarketing) without advertiser-defined audience segmentation.
Launched
Available globally to e-commerce advertisers
Audiences
No manual audience required — Meta finds converters
Existing customers
Set budget cap % allocated to existing customer audience
| Element | Manual Sales Campaign | ASC |
|---|---|---|
| Audience targeting | Advertiser-defined (Core, Custom, Lookalike) | Fully automated by Meta AI |
| Placements | Advantage+ or Manual Placements | All placements automatically (cannot restrict) |
| Budget allocation | Per ad set (ABO) or campaign (CBO) | Single campaign budget across all delivery |
| Ad sets | Multiple per campaign | Single ad set structure |
| Creative testing | Manual A/B or multiple ads per ad set | Up to 150 creative assets — Meta tests all combinations |
| Bidding | Highest Volume, Cost Per Result, ROAS Goal | Highest Value or ROAS Goal (conversion value required) |
How ASC Works
ASC operates on the principle that Meta's AI, given sufficient conversion data and creative variety, can find converting customers more efficiently than manually-segmented campaigns. The campaign has one ad set containing up to 150 creative assets — Meta's system continuously tests combinations of images, videos, headlines, and descriptions to identify which creative performs best for different audience segments across all placements.
ASC automatically allocates budget between prospecting (finding new customers) and remarketing (re-engaging existing ones). Advertisers can set a maximum percentage of budget that goes to existing customers — ensuring a minimum prospecting allocation. The default without a cap sends budget wherever conversion probability is highest, which may heavily favour remarketing.
Existing customer budget cap
In ASC setup, the Existing Customer Budget Cap allows you to limit the percentage of your ASC budget allocated to your existing customer audience (defined by a Custom Audience you specify — typically your customer list or recent purchasers). Setting this to 20% means at least 80% of budget is prospecting. Without a cap, Meta may allocate heavily to existing customers where conversion probability is highest, underinvesting in new customer acquisition.
ASC Setup Requirements
Prerequisites
- Active Meta Pixel with Purchase event firing with correct value and currency parameters
- Minimum 50 Purchase events in the last 30 days (Meta recommends 100+ for stable performance)
- Business Manager with verified domain and AEM configured
- Active product catalogue (required for dynamic creative in ASC)
Campaign creation steps
- New Campaign → Sales objective
- Campaign type: select "Advantage+ Shopping Campaign" (appears as an option alongside Manual Sales)
- Select your conversion location (website), pixel, and conversion event (Purchase)
- Set campaign budget (daily or lifetime)
- Set bidding: Highest Volume or ROAS Goal
- Set Existing Customer Budget Cap if desired
- Upload creative assets (up to 150)
- Set ad copy: up to 5 primary text options, 5 headlines, 5 descriptions
Creative Assets for ASC
ASC supports up to 150 creative assets in the single ad set. Meta tests all combinations — the more diverse your creative inputs, the more surface area the AI has to find winning combinations. Recommended asset mix:
- Images. Product shots (white background and lifestyle), bundle images, before/after, user-generated style content — minimum 10 distinct images in 1:1 and 4:5 ratios
- Videos. Product demos, customer testimonials, unboxing, how-to — minimum 5 videos in 9:16 and 1:1 ratios; 15–30 seconds each
- Catalogue-connected creative. Dynamic product creative automatically pulls from your product catalogue — include at least one catalogue-connected creative set for dynamic remarketing
- Existing high-performing ads. Import your best-performing ads from previous campaigns as starting assets — give the AI your proven winners alongside new creative to test
ASC vs Manual Campaigns
| Scenario | Use ASC | Use Manual |
|---|---|---|
| Conversion data volume | 100+ purchases/month | Under 50 purchases/month — ASC learning phase unstable |
| Creative variety | Have 10+ diverse creative assets | Limited creative — manual campaigns need fewer |
| Audience control needed | Not required | Specific audience exclusions or restrictions needed |
| Budget | Sufficient to exit learning quickly | Small budgets may not give ASC enough data |
| Transparency requirement | Can accept limited insight | Need granular audience and placement performance |
| New product launch | Less appropriate — no conversion history | Manual allows more precise initial targeting |
Many e-commerce advertisers run ASC alongside manual campaigns — using ASC for broad prospecting and automated scale, while maintaining manual campaigns for specific audience segments, product launches, or promotions requiring precise control.
Learning Phase
ASC enters a learning phase when launched — Meta's AI needs time to accumulate data about which creative combinations and audience segments produce conversions. During this period, performance is volatile and should not be used to make optimisation decisions.
Meta recommends not evaluating ASC performance until after the learning phase exits — typically 7–14 days or after 50 purchase events, whichever comes first. Do not make significant changes (budget, bidding, creative) during the learning phase — each change resets the learning clock.
Signs the learning phase has completed: "Learning" status label disappears in Ads Manager; performance stabilises (CPA/ROAS stops fluctuating daily); Meta begins showing delivery insights in the campaign.
ASC Optimisation
- Refresh creative regularly. ASC's performance is constrained by the quality of your creative pool. Add new creative assets monthly — especially new video and UGC-style content. Pause consistently low-performing assets identified in the Creative Reporting tab.
- Monitor the existing customer allocation. Check the breakdown between existing customer and new customer conversions in Ads Manager. If ASC is allocating too much budget to existing customers and under-investing in acquisition, tighten the Existing Customer Budget Cap.
- Compare against manual campaign ROAS. Run an ASC holdout test: run identical budgets in ASC and your best manual Sales campaign for 4 weeks and compare ROAS, new customer acquisition rate, and CPA. Use the results to determine the appropriate budget split.
- Keep pixel data quality high. ASC is entirely dependent on the quality of your conversion data. Ensure CAPI is implemented alongside the pixel, AEM is configured, and Purchase events include accurate values.
Authentic Sources
Official ASC documentation including setup, creative, and optimisation.
AEM setup required before ASC can function correctly.
How ASC budget allocation and existing customer caps work.
Connecting your product catalogue for ASC dynamic creative.