Amazon DSP

Amazon DSP Audience Targeting: A Complete Breakdown

Skale Strategy

Amazon DSP audience targeting is the reason brands are shifting upper-funnel budgets away from Facebook and Google. It's simple: Amazon has first-party purchase data on hundreds of millions of shoppers. No other platform can tell you who bought a competitor's product last month and show them your ad tomorrow.

But most brands using DSP are wasting 40-60% of their spend on poorly built audiences. Here's how to fix that.

The Four Audience Types in Amazon DSP

1. In-Market Audiences

These are shoppers actively browsing or purchasing in your category right now. Amazon determines this based on recent search and purchase behavior. In-market audiences are your bread and butter for mid-funnel targeting. They convert at 2-4x the rate of lifestyle audiences because intent is already there.

The key is specificity. Don't target "Health & Wellness." Target "Organic Protein Powder Shoppers" or "Collagen Supplement Buyers." The narrower the audience, the higher your conversion rate.

2. Lifestyle Audiences

Built from long-term shopping patterns and browsing behavior. Someone who consistently buys organic food, natural cleaning products, and eco-friendly household items gets categorized into lifestyle segments.

These are upper-funnel awareness plays. CPMs are lower, but so are conversion rates. Use them for brand introduction, not direct response. We pair lifestyle audiences with Sponsored Brand Video for a one-two punch of awareness and consideration.

3. Remarketing Audiences

People who viewed your product detail page, added to cart, or purchased previously. This is where amazon dsp audience targeting gets surgical. Segment these audiences by recency:

  • Viewed in last 7 days: Highest intent, bid aggressively
  • Viewed 8-30 days ago: Still warm, moderate bids
  • Viewed 31-90 days ago: Cooling off, lower bids and test different creative
  • Past purchasers (consumables): Target based on your product's typical repurchase cycle

Remarketing audiences typically deliver 3-5x higher ROAS than prospecting audiences. If you're not running them, you're leaving money on the table.

4. Advertiser Audiences (Custom)

Upload your own customer lists or build lookalike audiences from your best customers. This is powerful for DTC brands bringing their email lists into Amazon's ecosystem. Match rates vary, but we typically see 40-65% match rates on quality email lists.

How to Layer Audiences for Better Results

Single-audience campaigns are a beginner move. The real performance comes from layering.

Example for a premium skincare brand:

Prospecting campaign: In-market "Anti-Aging Skincare" + Lifestyle "Premium Beauty Shoppers" + Exclude past purchasers. This finds new-to-brand customers who already have buying patterns aligned with your product.

Consideration campaign: Product detail page viewers (14-day lookback) + In-market "Facial Serums" + Exclude converters. Catches people who saw your product, didn't buy, and are still actively shopping.

Retention campaign: Past purchasers (60-90 day lookback) with frequency caps to avoid annoyance. Focus creative on new products, bundles, or subscribe-and-save messaging.

Common Amazon DSP Audience Targeting Mistakes

Audiences too broad. An audience of 50 million people means you're paying to show ads to 49 million people who will never buy. Start narrow, prove ROAS, then expand.

No frequency caps. Without caps, the same person sees your ad 30+ times. After about 7 impressions, you're just annoying them. Set frequency caps at 3-5 per day, 15-20 per week.

Ignoring the overlap. If your in-market and remarketing audiences overlap significantly, you're bidding against yourself. Use exclusions to keep audiences clean.

Amazon DSP audience targeting is one of the most powerful tools available to brands on Amazon. But the platform's complexity means most self-serve advertisers underperform. If you want to explore what DSP can do for your brand, our Amazon DSP team manages campaigns for brands across every major category.

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