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We review your Meta account structure, Pixel events, and Conversions API coverage, because Advantage+ performance is only as good as the data it learns from. Gaps in event match quality are fixed before any budget moves.
We design the mix between Advantage+ and manual campaigns, define existing-customer budget caps, and set realistic CPA or ROAS targets. Catalogs and product sets are structured so the algorithm promotes the right items.
Advantage+ tests combinations automatically, so it needs volume: we prepare diverse hooks, formats, and aspect ratios across image and video. Each batch gives the algorithm genuinely distinct angles, not near-duplicates.
Campaigns launch with budgets sized to exit the learning phase quickly — roughly 50 conversions per week per campaign. We avoid mid-learning edits that reset optimization and quietly inflate costs.
We monitor CPA, ROAS, and creative fatigue weekly, replacing declining assets and rebalancing budgets between campaign types. Placement and audience breakdowns show where the algorithm finds efficient conversions.
Once targets are stable, we scale budgets in measured increments to protect performance. Monthly reports separate genuine incremental results from conversions you would have captured anyway.
We believe in radical transparency. You'll always know where your project stands and what comes next.
Progress reports every week
Communicate with your team
Clear deliverable checkpoints
Complete technical handoff
Let's begin with a conversation about your project goals.