Advantage+ audience lets Meta find buyers beyond the audience you describe, treating your inputs as suggestions rather than fences. Once purchase signal is clean, it usually beats tight manual targeting. What it needs from you is a clear optimization goal, deliberate existing customer settings, and creative that tells the system who each ad is for.

What does Advantage+ audience actually change?

Manual targeting draws a boundary: these ages, these interests, these lookalikes, nobody else. Advantage+ audience turns the boundary into a hint. You can still suggest who to reach, and Meta will usually start there, but it is free to deliver further out when its models predict a better result. For most ecommerce accounts with enough purchase volume, that trade favors the brand, because the system observes far more behavior than any interest list can describe. It also moves the work. When targeting is automated, the inputs left in your hands carry more weight than before: the conversion event you optimize toward, the data quality behind that event, the exclusions and customer definitions you set, and the creative itself. Meta said on its Q2 2026 earnings call that Advantage+ products now bring in revenue at an annualized pace above $75 billion, so the practical question for most brands has shifted. It is no longer whether to automate, but which inputs and limits to hand over.

Why do existing customer settings matter so much?

Left without guidance, an automated audience goes looking for the people most likely to buy, and the people most likely to buy are frequently people who already have. That combination produces a strong reported return and a flat count of new customers. Meta lets you define existing customers from your customer lists and site data, then cap how much of a campaign’s budget can reach them or report new and existing buyers separately. Setting that line on purpose is one of the most valuable changes available in most accounts I review. Decide which campaigns exist for prospecting and hold them to a low share of existing customers. Decide which exist for retention and judge those on repeat purchase economics instead. Without that line, prospecting money quietly pays to reach loyal customers who were coming back through email, a bookmark or a direct visit regardless of any ad.

When should you keep manual control?

Automation is a default, not a law. Manual audiences still earn a place when you need a clean comparison, for example isolating a new market, a new product line or a creator concept against a defined group. They also suit small accounts without the purchase volume Advantage+ needs to learn, and regulated categories where delivery has to stay inside set limits. The test for keeping a manual structure is simple: does it deliver a better cost per new customer than the automated version over the same period, measured on blended data rather than Meta’s own report? If a Meta ads agency or an in-house buyer cannot show you that comparison, the manual setup is probably surviving on habit. Most accounts are better served by fewer, larger campaigns with enough conversions to exit the learning phase, plus one or two manual structures reserved for deliberate tests.

What should the creative do when targeting is automated?

When the audience is broad, the ad does the sorting. The opening second of a video, the person on screen, the product shown and the problem named all signal to Meta who should see it next. That makes creative variety a targeting strategy in its own right. One concept in ten color variations hands the system a single signal. Five distinct angles, aimed at different buyers and different reasons to purchase, hand it five. Brief creative against the customers you want more of, then read results on new customer share and hook rate as well as cost per purchase. If an angle keeps attracting existing buyers, move it into retention where that behavior is useful. If another keeps bringing in first time buyers at a sensible cost, give it more room in prospecting and brief iterations beneath it.

Existing customer settings are not about ignoring repeat buyers. In June 2026, returning customer revenue for an athletic apparel brand I work with reached $759.5K, up 42.9% from $531.3K in June 2025. Repeat revenue that strong deserves its own plan and its own measurement, which is exactly why it should never be allowed to inflate what prospecting reports.

A free 30 minute growth audit includes a look at your existing customer settings, one of the first things I check in any Meta account.