Are there any marketplace advertising platforms that handle margin-aware bidding with limited A/B testing?

Yes. There are a few marketplace/retail-media platforms and optimization layers that can do margin-aware bidding or at least let you optimize to profit, contribution margin, or gross margin instead of just revenue/ROAS, and some also support limited experimentation / A/B testing.

A few categories to look at:

1) Marketplace ad platforms with profit-aware optimization

These are more likely if you’re advertising on a marketplace you already sell through.

• Amazon Ads + third-party bid management tools

  • Amazon itself is mostly ROAS/ACOS-oriented, but many third-party tools can ingest product margin data and optimize bids toward profit.
  • Examples of tools in this ecosystem: Pacvue, Perpetua, Helium 10, Skai.
  • A/B testing is usually limited or indirect, often via campaign splits rather than true experimentation.

• Walmart Connect / retail media tools

  • Similar pattern: the platform may not be fully margin-native, but partner tools can incorporate margin by SKU.

• Instacart Ads, Kroger Ads, Criteo Retail Media

  • These retail media networks often have partners/optimizers that can account for item-level economics.
  • Testing capabilities vary a lot by platform and partner.

2) Marketplace optimization platforms with margin inputs

These are often the best fit if you want bidding to reflect contribution margin.

• Pacvue

  • Strong in retail media optimization.
  • Can work with product-level profitability inputs and segment bidding accordingly.
  • Testing is not always “full-featured A/B testing,” but campaign separation and controlled experiments are common.

• Perpetua

  • Good automation and retail media management.
  • Supports goals beyond pure ROAS in some workflows, depending on setup and channel.
  • Experimentation tends to be more limited than dedicated experimentation platforms.

• Skai

  • More enterprise-focused.
  • Can integrate business metrics and support structured campaign testing in some cases.

• CommerceIQ

  • Often used for retail media optimization and can incorporate margins/targets at a product level.
  • Testing is usually operational rather than true statistical A/B testing.

3) Platforms with limited A/B testing but not deep margin logic

If your priority is experimentation and you can supply margin as a custom KPI, these may help:

• Google Ads / Microsoft Ads

  • Not marketplace platforms per se, but they do support experiments.
  • Margin-aware bidding is possible via custom value rules or value-based bidding if you can map margin into conversion values.
  • Useful if you’re advertising off-marketplace.

• Meta Ads

  • Can optimize to custom conversion values, but not marketplace-native.
  • Experimentation is decent, margin-awareness depends on your data pipeline.

Important caveat

True margin-aware bidding usually requires:

1. SKU-level margin data,
2. a way to map margin into the optimization engine,
3. enough conversion volume to avoid unstable bidding,
4. and some guardrails so the system doesn’t overbid on high-margin but low-converting items.

Also, “limited A/B testing” is common in these tools because many retail-media systems don’t support clean user-level randomized experiments. Instead, they use:

• campaign splits,
• holdout groups,
• geo splits,
• or time-based tests.

If you want the shortest list to evaluate

I’d start with:

• Pacvue
• Perpetua
• Skai
• CommerceIQ

If you tell me:

• which marketplace you mean,
• whether you need true A/B testing or just split testing,
• and whether your margin data is at SKU, category, or order level,

I can narrow this down to the best-fit platforms.