By Ben Dyer | Head of Growth, Webtopia

Meta Advantage+ Shopping Campaigns (ASC) are an AI-managed campaign type that combines prospecting and retargeting into a single structure, removing most manual audience controls and allowing Meta's algorithms to determine who sees your ads, when, and at what cost. For DTC brands running consistent revenue on Meta, ASC can simplify operations and improve delivery efficiency. But it is not the right choice for every account, and the way you set it up determines whether the reported numbers reflect real growth or simply inflate your ROAS by leaning on existing customers. This guide covers what ASC actually does, when to use it, and what the 2026 changes mean for how you manage it.

What Is Meta Advantage+ Shopping?

Meta Advantage+ Shopping is a campaign type designed to automate the work that advertisers previously handled through audience segmentation, retargeting exclusions, and bid adjustments. Rather than building separate campaigns for cold prospecting and warm retargeting, ASC consolidates both into a single campaign and lets Meta's delivery system decide how to allocate impressions and spend across the full audience spectrum.

The system uses Meta's AI to identify which users are most likely to convert, whether they have encountered your brand before or not. It draws on pixel data, catalogue signals, and behavioural patterns across the broader Meta network to make these decisions continuously throughout the campaign. You provide the creative, the budget, and your product catalogue. Meta handles the rest.

This model emerged from Meta's broader push toward automation and has become one of its most recommended campaign structures for established DTC brands. The appeal is straightforward: less setup complexity, fewer campaigns to manage, and a delivery system that has access to more data signals than any manually targeted campaign could replicate.

How ASC Differs From Standard Shopping Campaigns

The core difference is control. In a standard conversion campaign, you define who sees your ads through audience targeting: interests, lookalikes, custom audiences, and retargeting lists. You manage prospecting and retargeting separately, set different bids for different audience types, and exclude existing customers from cold campaigns or the reverse.

In ASC, those controls are largely removed. The campaign type does not use traditional audience targeting. Instead, Meta's algorithm decides where to direct delivery based on its own prediction of who will convert at the best cost. You can provide an audience suggestion, which acts as a starting signal, but the algorithm is free to move beyond it as it learns.

The practical experience for most brands is that ASC performs differently from standard campaigns in ways that are not always intuitive. Reported ROAS is often higher because the algorithm naturally gravitates toward the easiest conversions first, which tend to be existing customers or highly warm audiences who were close to purchasing already. This makes the numbers look good. Whether it actually represents profitable growth is a different question, and it is one that ASC's reporting alone cannot answer.

The Existing Customer Budget Cap: The Control That Matters Most

Within ASC, the one lever that has the most meaningful impact on whether the campaign drives real growth is the existing customer budget cap. This setting limits the percentage of your campaign budget that can be spent on people who are already your customers, defined by your own customer list uploaded to Meta.

Without a cap, or with a cap set too high, ASC will allocate a disproportionate amount of spend toward existing customers because they are the easiest conversion to generate. Your cost per purchase looks excellent. Your reported ROAS hits a number that makes the dashboard look impressive. But you are largely paying to re-acquire customers who would have returned anyway, which is a poor use of acquisition budget.

Setting the existing customer budget cap is therefore not optional. It is the primary mechanism through which you tell Meta to invest a meaningful portion of spend on genuinely new customers. The right percentage depends on your business economics, specifically what share of your revenue comes from new versus returning customers and what your allowable acquisition cost is. In most DTC accounts we manage at Webtopia, a cap of 20 to 30 percent for existing customers is a reasonable starting point, adjusted based on the brand's repeat purchase rate and growth priorities.

The 2026 Targeting Changes You Need to Know

In early 2026, Meta made a significant change to how Advantage+ Catalogue Ads handle targeting within the ASC ecosystem. Previously, advertisers could use either product audiences (campaign-level targeting using catalogue engagement signals) or custom audiences (ad-level targeting based on uploaded lists). Having both created inconsistency and confusion about which layer was controlling delivery.

Meta resolved this by moving to custom audiences only inside Advantage+ Catalogue Ads. Advertisers who were using product audiences at the campaign level were migrated to custom audiences. The practical implication is that if you want to retarget specific customer segments within your catalogue ads, you now do so through custom audiences rather than product audience configurations. The delivery behaviour should be similar in most cases, but it is worth reviewing your targeting setup if you run catalogue-based prospecting within ASC.

The broader direction this change signals is consistent with Meta's overall approach in 2026: simplify the advertiser-facing interface, consolidate overlapping controls, and give the delivery algorithm more room to make optimisation decisions that previously sat with the advertiser. For brands that have been comfortable managing multiple audience layers, this requires a shift in how you think about control and measurement.

When ASC Is the Right Choice

Advantage+ Shopping works best for brands that already have meaningful conversion history on Meta. The algorithm needs data to learn from, and accounts with fewer than approximately 50 conversions per week will struggle to give the system enough signal to optimise effectively. If your account is earlier in its Meta history, a standard conversion campaign with tighter audience targeting is likely to produce more predictable results while you build that data foundation.

ASC also works well for brands with a clear, well-structured product catalogue and strong creative assets. The system excels at matching products to users dynamically, which makes it particularly suited for DTC brands with a range of products across different categories or price points. If your catalogue is thin or inconsistently tagged, the algorithm has less to work with.

For brands already running ASC and performing well, the April 2026 guidance from Meta is to consider expanding the campaign's share of total account spend gradually, monitoring incremental impact with an external measurement source rather than relying solely on Ads Manager ROAS. The internal headroom analysis suggests that scaling ASC spend does not typically produce diminishing returns for well-structured campaigns, but that finding needs to be verified against your specific account and business model.

When to Keep Standard Campaigns Running Alongside ASC

ASC should not necessarily replace all of your campaign activity. There are two specific scenarios where maintaining standard campaigns alongside ASC is genuinely valuable rather than redundant.

The first is creative testing. Meta's Creative Testing feature, which allows you to compare up to five creative variants within a campaign while retaining delivery learnings, is not compatible with ASC. If you want to run structured creative tests with proper delivery controls and winner identification, you need a standard campaign to do it. The learnings from those tests can then inform the creative you upload into your ASC campaign, but the testing itself must happen outside of it.

Our guide to Meta Creative Testing covers how to set up these tests and why the approach of hypothesis-driven testing within a standard campaign is the most reliable way to build creative evidence that scales across your full account.

The second scenario is new audience exploration. If you are entering a new market, launching a new product category, or testing a creative angle that is fundamentally different from your existing strategy, a standard campaign with more explicit audience controls gives you cleaner signal on whether the new direction is working. Once you have proven the concept, you can introduce it to ASC.

ASC, Attribution, and Reading the Numbers Honestly

The most important discipline when running ASC is maintaining an accurate picture of where your revenue is actually coming from. Because ASC naturally gravitates toward warm audiences and existing customers, the reported conversion numbers in Ads Manager tend to overstate the campaign's contribution to new revenue growth. The ROAS figure is real in the sense that conversions happened. The question is how many of those conversions were incremental.

This is where Meta's Incremental Attribution model becomes particularly relevant for ASC advertisers. Switching to Incremental Attribution within your ASC campaigns tells Meta's delivery algorithm to prioritise spend toward genuinely new buyers rather than optimising toward the easiest-to-capture conversions. Our explanation of Meta Incremental Attribution covers what that shift looks like in practice and what the 25% average improvement in incremental conversions actually means for how you read your results.

At a minimum, any DTC brand running significant ASC spend should have an external measurement layer running alongside it. A post-purchase survey asking 'how did you hear about us?' costs almost nothing to implement and provides a ground-truth check on whether the platform numbers reflect real acquisition. Media mix modelling is more sophisticated but also more reliable for accounts at meaningful scale.

The underlying delivery logic that powers ASC, and how Meta's AI system reads your creative to decide which audiences to target, is explained in our piece on Meta Andromeda. Understanding that layer helps explain why creative variety within ASC matters as much as the campaign structure itself.