Meta ads advantage plus
Skill gmmh1/claude-paid-media-skills/skills/meta-ads-advantage-plus
Build and optimize Advantage+ Shopping and Advantage+ App campaigns — Meta's automated, full-funnel campaign types. Triggers on 'set up Advantage+ Shopping', 'Advantage+ App campaign', 'my Advantage+ campaign is underperforming', or 'should I use Advantage+ or manual campaigns'. Meta's PMax-equivalent — deep automation-specific work.From its SKILL.md
npx -y skills add gmmh1/claude-paid-media-skills --skill meta-ads-advantage-plusAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 22 days oldThe repository was created 22 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
SKILL.md
5.6 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it
Meta Ads Advantage+
Currency & scope note (last reviewed 2026-07-19): Platform mechanics referenced here (character limits, campaign-type names, feature availability, thresholds, benchmark figures, policy specifics) reflect general practice as of the review date above and are not guaranteed current — ad platforms change quickly. Verify anything mechanical against the platform's live documentation before relying on it for a real launch, real spend, or a compliance-sensitive decision. This is an independent, unofficial resource, not affiliated with or endorsed by any platform named in it, and nothing here is legal, tax, or financial advice.
Purpose
Build and optimize Advantage+ Shopping campaigns (ecommerce, catalog-driven, full-funnel automated) and Advantage+ App campaigns — Meta's answer to Google's Performance Max, trading manual control for algorithmic reach across audience and placement.
Trigger Conditions
- "Set up Advantage+ Shopping campaign"
- "Advantage+ App campaign for installs"
- "My Advantage+ campaign is underperforming"
- "Should I use Advantage+ or build manual campaigns"
Required Inputs
- Product catalog status (must be connected via Commerce Manager — coordinate with
meta-ads-catalog-feed) - Conversion volume history (Advantage+ needs meaningful data to leave learning productively; thin accounts should expect a longer, rockier ramp)
- Creative asset variety (multiple images/videos across formats — the algorithm needs options to test across placements)
- Whether this replaces or runs alongside existing manual campaigns (overlap/cannibalization risk)
Core Capabilities
Advantage+ Shopping Campaigns
- Fully automated targeting, placement, and creative optimization for catalog-driven ecommerce, minimal manual audience input by design
- Custom audience input as optional signal, not hard targeting — similar philosophy to Google PMax's audience signals
- Creative: supports multiple ad formats/creative within one ad set, with the system testing combinations — asset variety and quality remains the primary manual lever available
- Catalog segment/set structure to prioritize specific product groups (bestsellers, high-margin) within Advantage+ Shopping, coordinated with catalog setup
Advantage+ App Campaigns
- Automated targeting and placement for app install/in-app-event optimization, analogous logic to Google's App campaigns
- Requires app events (via Meta SDK or MMP integration) for in-app-event optimization, not just raw installs
When to Use vs. Manual
- Best fit: businesses with catalog/app conversion volume sufficient to feed automation, and creative variety to give the algorithm real options
- Weaker fit: brand-new accounts with zero conversion history (expect a rough, expensive learning period), or businesses needing granular audience exclusion control for brand/legal reasons
- Common pattern: run Advantage+ for full-catalog/broad reach alongside a smaller manual campaign for a specific strategic segment (new launches, high-margin push) rather than choosing one exclusively
Diagnostics
- Limited placement/audience-level reporting by design, same tradeoff as Google PMax — set this expectation before promising granular breakdowns
- Underperformance root causes to check in order: catalog/feed quality, creative asset thinness, insufficient conversion volume for the learning phase, conflicting manual campaigns competing for the same audience
Workflow
- Confirm catalog/app event tracking is live and healthy before building.
- Assess conversion volume and creative asset variety; set expectations on ramp time accordingly.
- Build the Advantage+ campaign with catalog segments or app event optimization goal set correctly.
- Add available creative variety across formats.
- If running alongside manual campaigns, check for audience/budget overlap and adjust to minimize internal competition.
- When diagnosing underperformance, check catalog/feed health first, then creative variety, then conversion volume — in that order.
Outputs
- Advantage+ campaign structure (Shopping or App)
- Catalog segment / app event configuration
- Creative variety assessment and gaps
- Overlap check against existing manual campaigns
- Underperformance root-cause diagnosis, when applicable
Rules
-
Never launch Advantage+ Shopping without confirming catalog health first — a broken feed caps performance regardless of algorithm quality.
-
Set explicit ramp-time expectations for accounts with thin conversion history; don't imply immediate optimized performance.
-
Flag audience/budget overlap between Advantage+ and any concurrent manual campaigns rather than letting them silently compete.
-
Verification gate: before this skill's output is used to spend real money, submit a compliance-sensitive claim, or go to a client as final, verify the mechanical specifics (limits, thresholds, policy rules) against current platform documentation and get explicit human sign-off — do not treat this skill's output as launch-ready without that check.
Related Skills
meta-ads-catalog-feed (feed prerequisite), meta-ads-campaign-builder (overall campaign type fit), meta-ads-creative-strategy (asset variety), meta-ads-optimization (general performance diagnosis).
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.