If you've created a new sales campaign on Meta recently, you've probably noticed it starts with Advantage+ settings switched on by default: automatic audience, automatic placements, automatic creative enhancements. Meta keeps pushing advertisers toward automation. So do you let it decide everything — or switch it off and go back to manual setup?
What are Advantage+ sales campaigns?
They're sales campaigns that rely on the algorithm for most decisions: who sees the ad, where, and which version of the creative. They were previously known as Advantage+ Shopping, before Meta renamed them Advantage+ Sales along with changes to how they're set up. Creating a new sales campaign now starts with Advantage+ settings by default, and you can turn some of them off to get a manual campaign.
Meta changes the names and details of these features frequently. Always check what Ads Manager shows when you create the campaign — it's the most accurate reference.
What the algorithm controls, and what stays with you
| Mostly the algorithm | You |
|---|---|
| Choosing the audience (you can add suggestions) | Product, offer and price |
| Distributing ads across placements | Creative quality and variety |
| Splitting budget between ads | The overall budget |
| Some automatic creative enhancements | Tracking accuracy (Pixel and Conversions API) |
| Judging results and deciding to scale or stop |
In other words: the more automation, the more creative and tracking become your main levers, because they're what the algorithm learns from.
When they fit
- An online store with reliable purchase tracking: the algorithm needs accurate purchase data to learn.
- Reasonable sales volume: the more purchases, the faster it learns.
- Varied creative: several ads with different angles and formats give the algorithm room to choose.
- A product with a relatively broad audience.
When they may not
- When tracking isn't reliable: Meta Pixel and Conversions API: How to Make Sure Your Sales Are Tracked Correctly.
- When you need very specific targeting for business reasons, such as a service available in one city only.
- Some cases where you need a clear split between new and existing customers for reporting.
- When the budget is very small and purchases are rare.
Giving the algorithm what it needs to succeed
- Accurate tracking: every purchase must arrive with its correct value. The algorithm learns from this data alone.
- Varied creative: several ads with different angles (price, quality, reviews, how to use it) and formats (image, short video, carousel).
- Enough budget: a very small budget stops the algorithm from experimenting and learning.
- Patience at the start: don't judge the campaign on its first two or three days.
- Audience suggestions when needed: you can add suggestions (such as a lookalike) without fully restricting the algorithm.
A fair comparison: Advantage+ vs manual setup
If you want to know which is better for your business, don't compare a brand-new Advantage+ campaign with a manual campaign that's been running for months. Better to:
- Run both in the same period with similar budgets, or use the A/B test tool: Facebook Ads A/B Testing: What to Test and How to Read Results Without Fooling Yourself.
- Use the same creative in both where possible, so the difference comes from the setup, not the ads.
- Compare cost per purchase and ROAS after enough time, not after two days.
Many advertisers find Advantage+ wins in data-rich accounts, while manual setup stays better in special cases. The only way to know where your account stands is to test.
And whatever wins today, revisit the comparison every few months — both Meta's automation and your account's data keep changing.
Common mistakes with Advantage+ shopping and sales campaigns
- Launching with a single ad: automation needs options. One ad gives the algorithm nothing to choose between, and it will tire quickly on a big budget.
- Judging in the first days: the campaign needs time to learn, and early days are usually less stable: The Facebook Ads Learning Phase and "Learning Limited": What They Mean and When to Worry.
- Frequent edits: every significant edit restarts learning. Batch your changes and wait between them.
- Ignoring tracking quality: if the purchase event fires twice or with the wrong value, the algorithm learns from misleading data.
- Forgetting what you want to exclude: if your goal is new customers only, review the available audience options for limiting spend on existing customers.
Avoiding these gives Advantage+ campaigns a fair chance before you decide whether they suit your account.
How to monitor an Advantage+ campaign
Automation doesn't mean you stop watching — it means you watch different things:
- Cost per purchase and ROAS against break-even: the core verdict (How to Calculate ROAS and Break-Even ROAS: When Is a Facebook Campaign Really Profitable?).
- Each ad's performance: which creative the algorithm favors, and which is tiring.
- How spend splits across placements and audiences: to understand where budget goes even if you don't control it directly.
- Comparison with the previous period: to catch any decline early.
In Raqeeb Ads' Campaign Analyzer, any campaign — manual or Advantage+ — gets placement, time-of-day and audience breakdowns, per-ad performance and period comparison, so you can see what the algorithm is deciding instead of trusting it blind. You also get alerts when cost per result spikes or creatives start to fatigue.
A free tool that helps here: The ad budget allocation calculator splits your budget across new audiences, retargeting and creative testing with a daily budget for each.