Meta Advantage+ Shopping
Meta's fully automated campaign type that uses AI to handle creative testing, audience targeting, placement, and budget allocation for e-commerce advertisers with minimal manual configuration.
Meta Advantage+ Shopping Campaigns (ASC) are an AI-driven campaign type launched by Meta in 2022 and significantly expanded since. They represent Meta’s push toward fully automated media buying: you provide creative assets and a budget, and Meta’s algorithm handles targeting, placement, and bid optimization entirely.
What Advantage+ Automates
In a traditional Meta campaign, you manually configure:
- Audience targeting (demographics, interests, Lookalike Audiences)
- Placements (Feed, Stories, Reels, Audience Network)
- Bidding strategy
- Creative rotation
Advantage+ Shopping collapses this into a single campaign where Meta makes all of these decisions dynamically, serving ads to whoever in your target country Meta predicts will buy — regardless of whether they’ve heard of your brand before.
How ASC Works
You upload up to 150 creative assets — images, videos, carousels — and set a daily budget. Meta tests all creative combinations across all placements and audiences simultaneously, allocating spend toward whatever combination is driving conversions.
The campaign blends prospecting and retargeting into a single budget pool. Meta will serve your ads to cold audiences and warm audiences in whatever proportion its algorithm determines maximizes conversions per dollar.
Why Brands Are Moving to ASC
In 2022–2024, a significant shift occurred in Meta advertising: brands that moved to Advantage+ Shopping often saw efficiency improvements of 10–30% over manually structured campaigns. Several factors drive this:
- Signal loss from iOS 14 eroded the effectiveness of manual audience targeting — Meta’s algorithm often has better targeting data than advertisers can construct manually.
- Creative testing at scale — Meta can test 150 assets across all audiences and placements simultaneously, generating learning faster than manual A/B tests.
- Reduced overhead — one campaign to manage instead of separate prospecting and retargeting campaigns.
Limitations and Trade-offs
- Reduced transparency — you can’t see which audiences or placements are performing within the campaign.
- Creative displacement — if your catalog includes many products, Meta may over-serve your top sellers and underserve products you want to scale.
- Budget control — harder to ringfence spend between new customer acquisition and retargeting.
ASC in Practice: Ridge Wallet
Ridge Wallet uses Advantage+ Shopping Campaigns as part of their Meta strategy, alongside manual campaigns for specific product lines and DCO-format ads. The mixed approach — automation for broad prospecting, manual for strategic campaigns — is typical of sophisticated D2C advertisers who want ASC’s efficiency without fully ceding creative control.
Where we've analyzed ASC
I Scraped 273 of Ridge Wallet's Meta Ads. Here's What a $100M D2C Marketing Machine Actually Looks Like.
I scraped Ridge Wallet's entire Meta Ad Library - all 273 active creatives - and analyzed their Instagram, tech stack, and email flows. 88% of their ads lead with value, not discounts.
See also
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